Merge branch 'dev' into fix/classic-docs-cleanup

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Nicholas Tindle
2026-04-21 11:49:31 -05:00
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---
name: orchestrate
description: "Meta-agent supervisor that manages a fleet of Claude Code agents running in tmux windows. Auto-discovers spare worktrees, spawns agents, monitors state, kicks idle agents, approves safe confirmations, and recycles worktrees when done. TRIGGER when user asks to supervise agents, run parallel tasks, manage worktrees, check agent status, or orchestrate parallel work."
user-invocable: true
argument-hint: "any free text — e.g. 'start 3 agents on X Y Z', 'show status', 'add task: implement feature A', 'stop', 'how many are free?'"
metadata:
author: autogpt-team
version: "6.0.0"
---
# Orchestrate — Agent Fleet Supervisor
One tmux session, N windows — each window is one agent working in its own worktree. Speak naturally; Claude maps your intent to the right scripts.
## Scripts
```bash
SKILLS_DIR=$(git rev-parse --show-toplevel)/.claude/skills/orchestrate/scripts
STATE_FILE=~/.claude/orchestrator-state.json
```
| Script | Purpose |
|---|---|
| `find-spare.sh [REPO_ROOT]` | List free worktrees — one `PATH BRANCH` per line |
| `spawn-agent.sh SESSION PATH SPARE NEW_BRANCH OBJECTIVE [PR_NUMBER] [STEPS...]` | Create window + checkout branch + launch claude + send task. **Stdout: `SESSION:WIN` only** |
| `recycle-agent.sh WINDOW PATH SPARE_BRANCH` | Kill window + restore spare branch |
| `run-loop.sh` | **Mechanical babysitter** — idle restart + dialog approval + recycle on ORCHESTRATOR:DONE + supervisor health check + all-done notification |
| `verify-complete.sh WINDOW` | Verify PR is done: checkpoints ✓ + 0 unresolved threads + CI green + no fresh CHANGES_REQUESTED. Repo auto-derived from state file `.repo` or git remote. |
| `notify.sh MESSAGE` | Send notification via Discord webhook (env `DISCORD_WEBHOOK_URL` or state `.discord_webhook`), macOS notification center, and stdout |
| `capacity.sh [REPO_ROOT]` | Print available + in-use worktrees |
| `status.sh` | Print fleet status + live pane commands |
| `poll-cycle.sh` | One monitoring cycle — classifies panes, tracks checkpoints, returns JSON action array |
| `classify-pane.sh WINDOW` | Classify one pane state |
## Supervision model
```
Orchestrating Claude (this Claude session — IS the supervisor)
└── Reads pane output, checks CI, intervenes with targeted guidance
run-loop.sh (separate tmux window, every 30s)
└── Mechanical only: idle restart, dialog approval, recycle on ORCHESTRATOR:DONE
```
**You (the orchestrating Claude)** are the supervisor. After spawning agents, stay in this conversation and actively monitor: poll each agent's pane every 2-3 minutes, check CI, nudge stalled agents, and verify completions. Do not spawn a separate supervisor Claude window — it loses context, is hard to observe, and compounds context compression problems.
**run-loop.sh** is the mechanical layer — zero tokens, handles things that need no judgment: restart crashed agents, press Enter on dialogs, recycle completed worktrees (only after `verify-complete.sh` passes).
## Checkpoint protocol
Agents output checkpoints as they complete each required step:
```
CHECKPOINT:<step-name>
```
Required steps are passed as args to `spawn-agent.sh` (e.g. `pr-address pr-test`). `run-loop.sh` will not recycle a window until all required checkpoints are found in the pane output. If `verify-complete.sh` fails, the agent is re-briefed automatically.
## Worktree lifecycle
```text
spare/N branch → spawn-agent.sh (--session-id UUID) → window + feat/branch + claude running
CHECKPOINT:<step> (as steps complete)
ORCHESTRATOR:DONE
verify-complete.sh: checkpoints ✓ + 0 threads + CI green + no fresh CHANGES_REQUESTED
state → "done", notify, window KEPT OPEN
user/orchestrator explicitly requests recycle
recycle-agent.sh → spare/N (free again)
```
**Windows are never auto-killed.** The worktree stays on its branch, the session stays alive. The agent is done working but the window, git state, and Claude session are all preserved until you choose to recycle.
**To resume a done or crashed session:**
```bash
# Resume by stored session ID (preferred — exact session, full context)
claude --resume SESSION_ID --permission-mode bypassPermissions
# Or resume most recent session in that worktree directory
cd /path/to/worktree && claude --continue --permission-mode bypassPermissions
```
**To manually recycle when ready:**
```bash
bash ~/.claude/orchestrator/scripts/recycle-agent.sh SESSION:WIN WORKTREE_PATH spare/N
# Then update state:
jq --arg w "SESSION:WIN" '.agents |= map(if .window == $w then .state = "recycled" else . end)' \
~/.claude/orchestrator-state.json > /tmp/orch.tmp && mv /tmp/orch.tmp ~/.claude/orchestrator-state.json
```
## State file (`~/.claude/orchestrator-state.json`)
Never committed to git. You maintain this file directly using `jq` + atomic writes (`.tmp``mv`).
```json
{
"active": true,
"tmux_session": "autogpt1",
"idle_threshold_seconds": 300,
"loop_window": "autogpt1:5",
"repo": "Significant-Gravitas/AutoGPT",
"discord_webhook": "https://discord.com/api/webhooks/...",
"last_poll_at": 0,
"agents": [
{
"window": "autogpt1:3",
"worktree": "AutoGPT6",
"worktree_path": "/path/to/AutoGPT6",
"spare_branch": "spare/6",
"branch": "feat/my-feature",
"objective": "Implement X and open a PR",
"pr_number": "12345",
"session_id": "550e8400-e29b-41d4-a716-446655440000",
"steps": ["pr-address", "pr-test"],
"checkpoints": ["pr-address"],
"state": "running",
"last_output_hash": "",
"last_seen_at": 0,
"spawned_at": 0,
"idle_since": 0,
"revision_count": 0,
"last_rebriefed_at": 0
}
]
}
```
Top-level optional fields:
- `repo` — GitHub `owner/repo` for CI/thread checks. Auto-derived from git remote if omitted.
- `discord_webhook` — Discord webhook URL for completion notifications. Also reads `DISCORD_WEBHOOK_URL` env var.
Per-agent fields:
- `session_id` — UUID passed to `claude --session-id` at spawn; use with `claude --resume UUID` to restore exact session context after a crash or window close.
- `last_rebriefed_at` — Unix timestamp of last re-brief; enforces 5-min cooldown to prevent spam.
Agent states: `running` | `idle` | `stuck` | `waiting_approval` | `complete` | `done` | `escalated`
`done` means verified complete — window is still open, session still alive, worktree still on task branch. Not recycled yet.
## Serial /pr-test rule
`/pr-test` and `/pr-test --fix` run local Docker + integration tests that use shared ports, a shared database, and shared build caches. **Running two `/pr-test` jobs simultaneously will cause port conflicts and database corruption.**
**Rule: only one `/pr-test` runs at a time. The orchestrator serializes them.**
You (the orchestrating Claude) own the test queue:
1. Agents do `pr-review` and `pr-address` in parallel — that's safe (they only push code and reply to GitHub).
2. When a PR needs local testing, add it to your mental queue — don't give agents a `pr-test` step.
3. Run `/pr-test https://github.com/OWNER/REPO/pull/PR_NUMBER --fix` yourself, sequentially.
4. Feed results back to the relevant agent via `tmux send-keys`:
```bash
tmux send-keys -t SESSION:WIN "Local tests for PR #N: <paste failure output or 'all passed'>. Fix any failures and push, then output ORCHESTRATOR:DONE."
sleep 0.3
tmux send-keys -t SESSION:WIN Enter
```
5. Wait for CI to confirm green before marking the agent done.
If multiple PRs need testing at the same time, pick the one furthest along (fewest pending CI checks) and test it first. Only start the next test after the previous one completes.
## Session restore (tested and confirmed)
Agent sessions are saved to disk. To restore a closed or crashed session:
```bash
# If session_id is in state (preferred):
NEW_WIN=$(tmux new-window -t SESSION -n WORKTREE_NAME -P -F '#{window_index}')
tmux send-keys -t "SESSION:${NEW_WIN}" "cd /path/to/worktree && claude --resume SESSION_ID --permission-mode bypassPermissions" Enter
# If no session_id (use --continue for most recent session in that directory):
tmux send-keys -t "SESSION:${NEW_WIN}" "cd /path/to/worktree && claude --continue --permission-mode bypassPermissions" Enter
```
`--continue` restores the full conversation history including all tool calls, file edits, and context. The agent resumes exactly where it left off. After restoring, update the window address in the state file:
```bash
jq --arg old "SESSION:OLD_WIN" --arg new "SESSION:NEW_WIN" \
'(.agents[] | select(.window == $old)).window = $new' \
~/.claude/orchestrator-state.json > /tmp/orch.tmp && mv /tmp/orch.tmp ~/.claude/orchestrator-state.json
```
## Intent → action mapping
Match the user's message to one of these intents:
| The user says something like… | What to do |
|---|---|
| "status", "what's running", "show agents" | Run `status.sh` + `capacity.sh`, show output |
| "how many free", "capacity", "available worktrees" | Run `capacity.sh`, show output |
| "start N agents on X, Y, Z" or "run these tasks: …" | See **Spawning agents** below |
| "add task: …", "add one more agent for …" | See **Adding an agent** below |
| "stop", "shut down", "pause the fleet" | See **Stopping** below |
| "poll", "check now", "run a cycle" | Run `poll-cycle.sh`, process actions |
| "recycle window X", "free up autogpt3" | Run `recycle-agent.sh` directly |
When the intent is ambiguous, show capacity first and ask what tasks to run.
## Spawning agents
### 1. Resolve tmux session
```bash
tmux list-sessions -F "#{session_name}: #{session_windows} windows" 2>/dev/null
```
Use an existing session. **Never create a tmux session from within Claude** — it becomes a child of Claude's process and dies when the session ends. If no session exists, tell the user to run `tmux new-session -d -s autogpt1` in their terminal first, then re-invoke `/orchestrate`.
### 2. Show available capacity
```bash
bash $SKILLS_DIR/capacity.sh $(git rev-parse --show-toplevel)
```
### 3. Collect tasks from the user
For each task, gather:
- **objective** — what to do (e.g. "implement feature X and open a PR")
- **branch name** — e.g. `feat/my-feature` (derive from objective if not given)
- **pr_number** — GitHub PR number if working on an existing PR (for verification)
- **steps** — required checkpoint names in order (e.g. `pr-address pr-test`) — derive from objective
Ask for `idle_threshold_seconds` only if the user mentions it (default: 300).
Never ask the user to specify a worktree — auto-assign from `find-spare.sh`.
### 4. Spawn one agent per task
```bash
# Get ordered list of spare worktrees
SPARE_LIST=$(bash $SKILLS_DIR/find-spare.sh $(git rev-parse --show-toplevel))
# For each task, take the next spare line:
WORKTREE_PATH=$(echo "$SPARE_LINE" | awk '{print $1}')
SPARE_BRANCH=$(echo "$SPARE_LINE" | awk '{print $2}')
# With PR number and required steps:
WINDOW=$(bash $SKILLS_DIR/spawn-agent.sh "$SESSION" "$WORKTREE_PATH" "$SPARE_BRANCH" "$NEW_BRANCH" "$OBJECTIVE" "$PR_NUMBER" "pr-address" "pr-test")
# Without PR (new work):
WINDOW=$(bash $SKILLS_DIR/spawn-agent.sh "$SESSION" "$WORKTREE_PATH" "$SPARE_BRANCH" "$NEW_BRANCH" "$OBJECTIVE")
```
Build an agent record and append it to the state file. If the state file doesn't exist yet, initialize it:
```bash
# Derive repo from git remote (used by verify-complete.sh + supervisor)
REPO=$(git remote get-url origin 2>/dev/null | sed 's|.*github\.com[:/]||; s|\.git$||' || echo "")
jq -n \
--arg session "$SESSION" \
--arg repo "$REPO" \
--argjson threshold 300 \
'{active:true, tmux_session:$session, idle_threshold_seconds:$threshold,
repo:$repo, loop_window:null, supervisor_window:null, last_poll_at:0, agents:[]}' \
> ~/.claude/orchestrator-state.json
```
Optionally add a Discord webhook for completion notifications:
```bash
jq --arg hook "$DISCORD_WEBHOOK_URL" '.discord_webhook = $hook' ~/.claude/orchestrator-state.json \
> /tmp/orch.tmp && mv /tmp/orch.tmp ~/.claude/orchestrator-state.json
```
`spawn-agent.sh` writes the initial agent record (window, worktree_path, branch, objective, state, etc.) to the state file automatically — **do not append the record again after calling it.** The record already exists and `pr_number`/`steps` are patched in by the script itself.
### 5. Start the mechanical babysitter
```bash
LOOP_WIN=$(tmux new-window -t "$SESSION" -n "orchestrator" -P -F '#{window_index}')
LOOP_WINDOW="${SESSION}:${LOOP_WIN}"
tmux send-keys -t "$LOOP_WINDOW" "bash $SKILLS_DIR/run-loop.sh" Enter
jq --arg w "$LOOP_WINDOW" '.loop_window = $w' ~/.claude/orchestrator-state.json \
> /tmp/orch.tmp && mv /tmp/orch.tmp ~/.claude/orchestrator-state.json
```
### 6. Begin supervising directly in this conversation
You are the supervisor. After spawning, immediately start your first poll loop (see **Supervisor duties** below) and continue every 2-3 minutes. Do NOT spawn a separate supervisor Claude window.
## Adding an agent
Find the next spare worktree, then spawn and append to state — same as steps 24 above but for a single task. If no spare worktrees are available, tell the user.
## Supervisor duties (YOUR job, every 2-3 min in this conversation)
You are the supervisor. Run this poll loop directly in your Claude session — not in a separate window.
### Poll loop mechanism
You are reactive — you only act when a tool completes or the user sends a message. To create a self-sustaining poll loop without user involvement:
1. Start each poll with `run_in_background: true` + a sleep before the work:
```bash
sleep 120 && tmux capture-pane -t autogpt1:0 -p -S -200 | tail -40
# + similar for each active window
```
2. When the background job notifies you, read the pane output and take action.
3. Immediately schedule the next background poll — this keeps the loop alive.
4. Stop scheduling when all agents are done/escalated.
**Never tell the user "I'll poll every 2-3 minutes"** — that does nothing without a trigger. Start the background job instead.
### Each poll: what to check
```bash
# 1. Read state
cat ~/.claude/orchestrator-state.json | jq '.agents[] | {window, worktree, branch, state, pr_number, checkpoints}'
# 2. For each running/stuck/idle agent, capture pane
tmux capture-pane -t SESSION:WIN -p -S -200 | tail -60
```
For each agent, decide:
| What you see | Action |
|---|---|
| Spinner / tools running | Do nothing — agent is working |
| Idle `` prompt, no `ORCHESTRATOR:DONE` | Stalled — send specific nudge with objective from state |
| Stuck in error loop | Send targeted fix with exact error + solution |
| Waiting for input / question | Answer and unblock via `tmux send-keys` |
| CI red | `gh pr checks PR_NUMBER --repo REPO` → tell agent exactly what's failing |
| GitHub abuse rate limit error | Nudge: "Wait 60 seconds then continue posting replies with sleep 3 between each" |
| Context compacted / agent lost | Send recovery: `cat ~/.claude/orchestrator-state.json | jq '.agents[] | select(.window=="WIN")'` + `gh pr view PR_NUMBER --json title,body` |
| `ORCHESTRATOR:DONE` in output | Query GraphQL for actual unresolved count. If >0, re-brief. If 0, run `verify-complete.sh` |
**Poll all windows from state, not from memory.** Before each poll, run:
```bash
jq -r '.agents[] | select(.state | test("running|idle|stuck|waiting_approval|pending_evaluation")) | .window' ~/.claude/orchestrator-state.json
```
and capture every window listed. If you manually added a window outside spawn-agent.sh, ensure it's in the state file first.
### RUNNING count includes waiting_approval agents
The `RUNNING` count from run-loop.sh includes agents in `waiting_approval` state (they match the regex `running|stuck|waiting_approval|idle`). This means a fleet that is only `waiting_approval` still shows RUNNING > 0 in the log — it does **not** mean agents are actively working.
When you see `RUNNING > 0` in the run-loop log but suspect agents are actually blocked, check state directly:
```bash
jq '.agents[] | {window, state, worktree}' ~/.claude/orchestrator-state.json
```
A count of `running=1 waiting=1` in the log actually means one agent is waiting for approval — the orchestrator should check and approve, not wait.
### State file staleness recovery
The state file is written by scripts but can drift from reality when windows are closed, sessions expire, or the orchestrator restarts across conversations.
**Signs of stale state:**
- `loop_window` points to a window that no longer exists in the tmux session
- An agent's `state` is `running` but tmux window is closed or shows a shell prompt (not claude)
- `last_seen_at` is hours old but state still says `running`
**Recovery steps:**
1. **Verify actual tmux windows:**
```bash
tmux list-windows -t SESSION -F '#{window_index}: #{window_name} (#{pane_current_command})'
```
2. **Cross-reference with state file:**
```bash
jq -r '.agents[] | "\(.window) \(.state) \(.worktree)"' ~/.claude/orchestrator-state.json
```
3. **Fix stale entries:**
```bash
# Agent window closed — mark idle so run-loop.sh will restart it
jq --arg w "SESSION:WIN" '(.agents[] | select(.window==$w)).state = "idle"' \
~/.claude/orchestrator-state.json > /tmp/orch.tmp && mv /tmp/orch.tmp ~/.claude/orchestrator-state.json
# loop_window gone — kill the stale reference, then restart run-loop.sh
jq '.loop_window = null' ~/.claude/orchestrator-state.json > /tmp/orch.tmp && mv /tmp/orch.tmp ~/.claude/orchestrator-state.json
LOOP_WIN=$(tmux new-window -t "$SESSION" -n "orchestrator" -P -F '#{window_index}')
LOOP_WINDOW="${SESSION}:${LOOP_WIN}"
tmux send-keys -t "$LOOP_WINDOW" "bash $SKILLS_DIR/run-loop.sh" Enter
jq --arg w "$LOOP_WINDOW" '.loop_window = $w' ~/.claude/orchestrator-state.json \
> /tmp/orch.tmp && mv /tmp/orch.tmp ~/.claude/orchestrator-state.json
```
4. **After any state repair, re-run `status.sh` to confirm coherence before resuming supervision.**
### Strict ORCHESTRATOR:DONE gate
`verify-complete.sh` handles the main checks automatically (checkpoints, threads, CI green, spawned_at, and CHANGES_REQUESTED). Run it:
**CHANGES_REQUESTED staleness rule**: a `CHANGES_REQUESTED` review only blocks if it was submitted *after* the latest commit. If the latest commit postdates the review, the review is considered stale (feedback already addressed) and does not block. This avoids false negatives when a bot reviewer hasn't re-reviewed after the agent's fixing commits.
```bash
SKILLS_DIR=~/.claude/orchestrator/scripts
bash $SKILLS_DIR/verify-complete.sh SESSION:WIN
```
If it passes → run-loop.sh will recycle the window automatically. No manual action needed.
If it fails → re-brief the agent with the failure reason. Never manually mark state `done` to bypass this.
### Re-brief a stalled agent
**Before sending any nudge, verify the pane is at an idle prompt.** Sending text into a still-processing pane produces stuck `[Pasted text +N lines]` that the agent never sees.
Check:
```bash
tmux capture-pane -t SESSION:WIN -p 2>/dev/null | tail -5
```
If the last line shows a spinner (✳✽✢✶·), `Running…`, or no `` — wait 1015s and check again before sending.
```bash
OBJ=$(jq -r --arg w SESSION:WIN '.agents[] | select(.window==$w) | .objective' ~/.claude/orchestrator-state.json)
PR=$(jq -r --arg w SESSION:WIN '.agents[] | select(.window==$w) | .pr_number' ~/.claude/orchestrator-state.json)
tmux send-keys -t SESSION:WIN "You appear stalled. Your objective: $OBJ. Check: gh pr view $PR --json title,body,headRefName to reorient."
sleep 0.3
tmux send-keys -t SESSION:WIN Enter
```
If `image_path` is set on the agent record, include: "Re-read context at IMAGE_PATH with the Read tool."
## Self-recovery protocol (agents)
spawn-agent.sh automatically includes this instruction in every objective:
> If your context compacts and you lose track of what to do, run:
> `cat ~/.claude/orchestrator-state.json | jq '.agents[] | select(.window=="SESSION:WIN")'`
> and `gh pr view PR_NUMBER --json title,body,headRefName` to reorient.
> Output each completed step as `CHECKPOINT:<step-name>` on its own line.
## Passing images and screenshots to agents
`tmux send-keys` is text-only — you cannot paste a raw image into a pane. To give an agent visual context (screenshots, diagrams, mockups):
1. **Save the image to a temp file** with a stable path:
```bash
# If the user drags in a screenshot or you receive a file path:
IMAGE_PATH="/tmp/orchestrator-context-$(date +%s).png"
cp "$USER_PROVIDED_PATH" "$IMAGE_PATH"
```
2. **Reference the path in the objective string**:
```bash
OBJECTIVE="Implement the layout shown in /tmp/orchestrator-context-1234567890.png. Read that image first with the Read tool to understand the design."
```
3. The agent uses its `Read` tool to view the image at startup — Claude Code agents are multimodal and can read image files directly.
**Rule**: always use `/tmp/orchestrator-context-<timestamp>.png` as the naming convention so the supervisor knows what to look for if it needs to re-brief an agent with the same image.
---
## Orchestrator final evaluation (YOU decide, not the script)
`verify-complete.sh` is a gate — it blocks premature marking. But it cannot tell you if the work is actually good. That is YOUR job.
When run-loop marks an agent `pending_evaluation` and you're notified, do all of these before marking done:
### 1. Run /pr-test (required, serialized, use TodoWrite to queue)
`/pr-test` is the only reliable confirmation that the objective is actually met. Run it yourself, not the agent.
**When multiple PRs reach `pending_evaluation` at the same time, use TodoWrite to queue them:**
```
- [ ] /pr-test https://github.com/Significant-Gravitas/AutoGPT/pull/NNNN — <feature description>
- [ ] /pr-test https://github.com/Significant-Gravitas/AutoGPT/pull/MMMM — <feature description>
```
Run one at a time. Check off as you go.
```
/pr-test https://github.com/Significant-Gravitas/AutoGPT/pull/PR_NUMBER
```
**/pr-test can be lazy** — if it gives vague output, re-run with full context:
```
/pr-test https://github.com/OWNER/REPO/pull/PR_NUMBER
Context: This PR implements <objective from state file>. Key files: <list>.
Please verify: <specific behaviors to check>.
```
Only one `/pr-test` at a time — they share ports and DB.
### /pr-test result evaluation
**PARTIAL on any headline feature scenario is an immediate blocker.** Do not approve, do not mark done, do not let the agent output `ORCHESTRATOR:DONE`.
| `/pr-test` result | Action |
|---|---|
| All headline scenarios **PASS** | Proceed to evaluation step 2 |
| Any headline scenario **PARTIAL** | Re-brief the agent immediately — see below |
| Any headline scenario **FAIL** | Re-brief the agent immediately |
**What PARTIAL means**: the feature is only partly working. Example: the Apply button never appeared, or the AI returned no action blocks. The agent addressed part of the objective but not all of it.
**When any headline scenario is PARTIAL or FAIL:**
1. Do NOT mark the agent done or accept `ORCHESTRATOR:DONE`
2. Re-brief the agent with the specific scenario that failed and what was missing:
```bash
tmux send-keys -t SESSION:WIN "PARTIAL result on /pr-test — S5 (Apply button) never appeared. The AI must output JSON action blocks for the Apply button to render. Fix this before re-running /pr-test."
sleep 0.3
tmux send-keys -t SESSION:WIN Enter
```
3. Set state back to `running`:
```bash
jq --arg w "SESSION:WIN" '(.agents[] | select(.window == $w)).state = "running"' \
~/.claude/orchestrator-state.json > /tmp/orch.tmp && mv /tmp/orch.tmp ~/.claude/orchestrator-state.json
```
4. Wait for new `ORCHESTRATOR:DONE`, then re-run `/pr-test` from scratch
**Rule: only ALL-PASS qualifies for approval.** A mix of PASS + PARTIAL is a failure.
> **Why this matters**: A PR was once wrongly approved with S5 PARTIAL — the AI never output JSON action blocks so the Apply button never appeared. The fix was already in the agent's reach but slipped through because PARTIAL was not treated as blocking.
### 2. Do your own evaluation
1. **Read the PR diff and objective** — does the code actually implement what was asked? Is anything obviously missing or half-done?
2. **Read the resolved threads** — were comments addressed with real fixes, or just dismissed/resolved without changes?
3. **Check CI run names** — any suspicious retries that shouldn't have passed?
4. **Check the PR description** — title, summary, test plan complete?
### 3. Decide
- `/pr-test` all scenarios PASS + evaluation looks good → mark `done` in state, tell the user the PR is ready, ask if window should be closed
- `/pr-test` any scenario PARTIAL or FAIL → re-brief the agent with the specific failing scenario, set state back to `running` (see `/pr-test result evaluation` above)
- Evaluation finds gaps even with all PASS → re-brief the agent with specific gaps, set state back to `running`
**Never mark done based purely on script output.** You hold the full objective context; the script does not.
```bash
# Mark done after your positive evaluation:
jq --arg w "SESSION:WIN" '(.agents[] | select(.window == $w)).state = "done"' \
~/.claude/orchestrator-state.json > /tmp/orch.tmp && mv /tmp/orch.tmp ~/.claude/orchestrator-state.json
```
## When to stop the fleet
Stop the fleet (`active = false`) when **all** of the following are true:
| Check | How to verify |
|---|---|
| All agents are `done` or `escalated` | `jq '[.agents[] | select(.state | test("running\|stuck\|idle\|waiting_approval"))] | length' ~/.claude/orchestrator-state.json` == 0 |
| All PRs have 0 unresolved review threads | GraphQL `isResolved` check per PR |
| All PRs have green CI **on a run triggered after the agent's last push** | `gh run list --branch BRANCH --limit 1` timestamp > `spawned_at` in state |
| No fresh CHANGES_REQUESTED (after latest commit) | `verify-complete.sh` checks this — stale pre-commit reviews are ignored |
| No agents are `escalated` without human review | If any are escalated, surface to user first |
**Do NOT stop just because agents output `ORCHESTRATOR:DONE`.** That is a signal to verify, not a signal to stop.
**Do stop** if the user explicitly says "stop", "shut down", or "kill everything", even with agents still running.
```bash
# Graceful stop
jq '.active = false' ~/.claude/orchestrator-state.json > /tmp/orch.tmp \
&& mv /tmp/orch.tmp ~/.claude/orchestrator-state.json
LOOP_WINDOW=$(jq -r '.loop_window // ""' ~/.claude/orchestrator-state.json)
[ -n "$LOOP_WINDOW" ] && tmux kill-window -t "$LOOP_WINDOW" 2>/dev/null || true
```
Does **not** recycle running worktrees — agents may still be mid-task. Run `capacity.sh` to see what's still in progress.
## tmux send-keys pattern
**Always split long messages into text + Enter as two separate calls with a sleep between them.** If sent as one call (`"text" Enter`), Enter can fire before the full string is buffered into Claude's input — leaving the message stuck as `[Pasted text +N lines]` unsent.
```bash
# CORRECT — text then Enter separately
tmux send-keys -t "$WINDOW" "your long message here"
sleep 0.3
tmux send-keys -t "$WINDOW" Enter
# WRONG — Enter may fire before text is buffered
tmux send-keys -t "$WINDOW" "your long message here" Enter
```
Short single-character sends (`y`, `Down`, empty Enter for dialog approval) are safe to combine since they have no buffering lag.
---
## Protected worktrees
Some worktrees must **never** be used as spare worktrees for agent tasks because they host files critical to the orchestrator itself:
| Worktree | Protected branch | Why |
|---|---|---|
| `AutoGPT1` | `dx/orchestrate-skill` | Hosts the orchestrate skill scripts. `recycle-agent.sh` would check out `spare/1`, wiping `.claude/skills/` and breaking all subsequent `spawn-agent.sh` calls. |
**Rule**: when selecting spare worktrees via `find-spare.sh`, skip any worktree whose CURRENT branch matches a protected branch. If you accidentally spawn an agent in a protected worktree, do not let `recycle-agent.sh` run on it — manually restore the branch after the agent finishes.
When `dx/orchestrate-skill` is merged into `dev`, `AutoGPT1` becomes a normal spare again.
---
## Thread resolution integrity (critical)
**Agents MUST NOT resolve review threads via GraphQL unless a real code fix has been committed and pushed first.**
This is the most common failure mode: agents call `resolveReviewThread` to make unresolved counts drop without actually fixing anything. This produces a false "done" signal that gets past verify-complete.sh.
**The only valid resolution sequence:**
1. Read the thread and understand what it's asking
2. Make the actual code change
3. `git commit` and `git push`
4. Reply to the thread with the commit SHA (e.g. "Fixed in `abc1234`")
5. THEN call `resolveReviewThread`
**The supervisor must verify actual thread counts via GraphQL** — never trust an agent's claim of "0 unresolved." After any agent's ORCHESTRATOR:DONE, always run:
```bash
# Step 1: get total count
TOTAL=$(gh api graphql -f query='{ repository(owner: "OWNER", name: "REPO") { pullRequest(number: PR) { reviewThreads { totalCount } } } }' \
| jq '.data.repository.pullRequest.reviewThreads.totalCount')
echo "Total threads: $TOTAL"
# Step 2: paginate all pages and count unresolved
CURSOR=""; UNRESOLVED=0
while true; do
AFTER=${CURSOR:+", after: \"$CURSOR\""}
PAGE=$(gh api graphql -f query="{ repository(owner: \"OWNER\", name: \"REPO\") { pullRequest(number: PR) { reviewThreads(first: 100${AFTER}) { pageInfo { hasNextPage endCursor } nodes { isResolved } } } } }")
UNRESOLVED=$(( UNRESOLVED + $(echo "$PAGE" | jq '[.data.repository.pullRequest.reviewThreads.nodes[] | select(.isResolved==false)] | length') ))
HAS_NEXT=$(echo "$PAGE" | jq -r '.data.repository.pullRequest.reviewThreads.pageInfo.hasNextPage')
CURSOR=$(echo "$PAGE" | jq -r '.data.repository.pullRequest.reviewThreads.pageInfo.endCursor')
[ "$HAS_NEXT" = "false" ] && break
done
echo "Unresolved: $UNRESOLVED"
```
If unresolved > 0, the agent is NOT done — re-brief with the actual count and the rule.
**Include this in every agent objective:**
> IMPORTANT: Do NOT resolve any review thread via GraphQL unless the code fix is committed and pushed first. Fix the code → commit → push → reply with SHA → then resolve. Never resolve without a real commit. "Accepted" or "Acknowledged" replies are NOT resolutions — only real commits qualify.
### Detecting fake resolutions
When an agent claims "0 unresolved threads", query GitHub GraphQL yourself and also inspect how each thread was resolved. A resolved thread whose last comment is `"Acknowledged"`, `"Same as above"`, `"Accepted trade-off"`, or `"Deferred"` — with no commit SHA — is a fake resolution.
To spot these, paginate all pages and collect resolved threads with missing SHA links:
```bash
# Paginate all pages — first:100 misses threads beyond page 1 on large PRs
CURSOR=""; FAKE_RESOLUTIONS="[]"
while true; do
AFTER=${CURSOR:+", after: \"$CURSOR\""}
PAGE=$(gh api graphql -f query="
{
repository(owner: \"Significant-Gravitas\", name: \"AutoGPT\") {
pullRequest(number: PR_NUMBER) {
reviewThreads(first: 100${AFTER}) {
pageInfo { hasNextPage endCursor }
nodes {
isResolved
comments(last: 1) {
nodes { body author { login } }
}
}
}
}
}
}")
PAGE_FAKES=$(echo "$PAGE" | jq '[.data.repository.pullRequest.reviewThreads.nodes[]
| select(.isResolved == true)
| {body: .comments.nodes[0].body[:120], author: .comments.nodes[0].author.login}
| select(.body | test("Fixed in|Removed in|Addressed in") | not)]')
FAKE_RESOLUTIONS=$(echo "$FAKE_RESOLUTIONS $PAGE_FAKES" | jq -s 'add')
HAS_NEXT=$(echo "$PAGE" | jq -r '.data.repository.pullRequest.reviewThreads.pageInfo.hasNextPage')
CURSOR=$(echo "$PAGE" | jq -r '.data.repository.pullRequest.reviewThreads.pageInfo.endCursor')
[ "$HAS_NEXT" = "false" ] && break
done
echo "$FAKE_RESOLUTIONS"
```
Any resolved thread whose last comment does NOT contain `"Fixed in"`, `"Removed in"`, or `"Addressed in"` (with a commit link) should be investigated — either the agent falsely resolved it, or it was a genuine false positive that needs explanation.
## GitHub abuse rate limits
Two distinct rate limits exist with different recovery times:
| Error | HTTP status | Cause | Recovery |
|---|---|---|---|
| `{"code":"abuse"}` in body | 403 | Secondary rate limit — too many write operations (comments, mutations) in a short window | Wait **23 minutes**. 60s is often not enough. |
| `API rate limit exceeded` | 429 | Primary rate limit — too many read calls per hour | Wait until `X-RateLimit-Reset` timestamp |
**Prevention:** Agents must add `sleep 3` between individual thread reply API calls. For >20 unresolved threads, increase to `sleep 5`.
If you see a 403 `abuse` error from an agent's pane:
1. Nudge the agent: `"You hit a GitHub secondary rate limit (403). Stop all API writes. Wait 2 minutes, then resume with sleep 3 between each thread reply."`
2. Do NOT nudge again during the 2-minute wait — a second nudge restarts the clock.
Add this to agent briefings when there are >20 unresolved threads:
> Post replies with `sleep 3` between each reply. If you hit a 403 abuse error, wait 2 minutes (not 60s — secondary limits take longer to clear) then continue.
## Key rules
1. **Scripts do all the heavy lifting** — don't reimplement their logic inline in this file
2. **Never ask the user to pick a worktree** — auto-assign from `find-spare.sh` output
3. **Never restart a running agent** — only restart on `idle` kicks (foreground is a shell)
4. **Auto-dismiss settings dialogs** — if "Enter to confirm" appears, send Down+Enter
5. **Always `--permission-mode bypassPermissions`** on every spawn
6. **Escalate after 3 kicks** — mark `escalated`, surface to user
7. **Atomic state writes** — always write to `.tmp` then `mv`
8. **Never approve destructive commands** outside the worktree scope — when in doubt, escalate
9. **Never recycle without verification** — `verify-complete.sh` must pass before recycling
10. **No TASK.md files** — commit risk; use state file + `gh pr view` for agent context persistence
11. **Re-brief stalled agents** — read objective from state file + `gh pr view`, send via tmux
12. **ORCHESTRATOR:DONE is a signal to verify, not to accept** — always run `verify-complete.sh` and check CI run timestamp before recycling
13. **Protected worktrees** — never use the worktree hosting the skill scripts as a spare
14. **Images via file path** — save screenshots to `/tmp/orchestrator-context-<ts>.png`, pass path in objective; agents read with the `Read` tool
15. **Split send-keys** — always separate text and Enter with `sleep 0.3` between calls for long strings
16. **Poll ALL windows from state file** — never hardcode window count. Derive active windows dynamically: `jq -r '.agents[] | select(.state | test("running|idle|stuck")) | .window' ~/.claude/orchestrator-state.json`. If you added a window mid-session outside spawn-agent.sh, add it to the state file immediately.
20. **Orchestrator handles its own approvals** — when spawning a subagent to make edits (SKILL.md, scripts, config), review the diff yourself and approve/reject without surfacing it to the user. The user should never have to open a file to check the orchestrator's work. Use the Agent tool with `subagent_type: general-purpose` for drafting, then verify the result yourself before considering the task done.
17. **Update state file on re-task** — whenever an agent is re-tasked mid-session (objective changes, new PR assigned), update the state file record immediately so objectives stay accurate for re-briefing after compaction.
18. **No GraphQL resolveReviewThread without a commit** — see Thread resolution integrity above. This is rule #1 for pr-address work.
19. **Verify thread counts yourself** — after any agent claims "0 unresolved threads", query GitHub GraphQL directly before accepting. Never trust the agent's self-report.

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#!/usr/bin/env bash
# capacity.sh — show fleet capacity: available spare worktrees + in-use agents
#
# Usage: capacity.sh [REPO_ROOT]
# REPO_ROOT defaults to the root worktree of the current git repo.
#
# Reads: ~/.claude/orchestrator-state.json (skipped if missing or corrupt)
set -euo pipefail
SCRIPTS_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
STATE_FILE="${ORCHESTRATOR_STATE_FILE:-$HOME/.claude/orchestrator-state.json}"
REPO_ROOT="${1:-$(git rev-parse --show-toplevel 2>/dev/null || echo "")}"
echo "=== Available (spare) worktrees ==="
if [ -n "$REPO_ROOT" ]; then
SPARE=$("$SCRIPTS_DIR/find-spare.sh" "$REPO_ROOT" 2>/dev/null || echo "")
else
SPARE=$("$SCRIPTS_DIR/find-spare.sh" 2>/dev/null || echo "")
fi
if [ -z "$SPARE" ]; then
echo " (none)"
else
while IFS= read -r line; do
[ -z "$line" ] && continue
echo "$line"
done <<< "$SPARE"
fi
echo ""
echo "=== In-use worktrees ==="
if [ -f "$STATE_FILE" ] && jq -e '.' "$STATE_FILE" >/dev/null 2>&1; then
IN_USE=$(jq -r '.agents[] | select(.state != "done") | " [\(.state)] \(.worktree_path) → \(.branch)"' \
"$STATE_FILE" 2>/dev/null || echo "")
if [ -n "$IN_USE" ]; then
echo "$IN_USE"
else
echo " (none)"
fi
else
echo " (no active state file)"
fi

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@@ -0,0 +1,85 @@
#!/usr/bin/env bash
# classify-pane.sh — Classify the current state of a tmux pane
#
# Usage: classify-pane.sh <tmux-target>
# tmux-target: e.g. "work:0", "work:1.0"
#
# Output (stdout): JSON object:
# { "state": "running|idle|waiting_approval|complete", "reason": "...", "pane_cmd": "..." }
#
# Exit codes: 0=ok, 1=error (invalid target or tmux window not found)
set -euo pipefail
TARGET="${1:-}"
if [ -z "$TARGET" ]; then
echo '{"state":"error","reason":"no target provided","pane_cmd":""}'
exit 1
fi
# Validate tmux target format: session:window or session:window.pane
if ! [[ "$TARGET" =~ ^[a-zA-Z0-9_.-]+:[a-zA-Z0-9_.-]+(\.[0-9]+)?$ ]]; then
echo '{"state":"error","reason":"invalid tmux target format","pane_cmd":""}'
exit 1
fi
# Check session exists (use %%:* to extract session name from session:window)
if ! tmux list-windows -t "${TARGET%%:*}" &>/dev/null 2>&1; then
echo '{"state":"error","reason":"tmux target not found","pane_cmd":""}'
exit 1
fi
# Get the current foreground command in the pane
PANE_CMD=$(tmux display-message -t "$TARGET" -p '#{pane_current_command}' 2>/dev/null || echo "unknown")
# Capture and strip ANSI codes (use perl for cross-platform compatibility — BSD sed lacks \x1b support)
RAW=$(tmux capture-pane -t "$TARGET" -p -S -50 2>/dev/null || echo "")
CLEAN=$(echo "$RAW" | perl -pe 's/\x1b\[[0-9;]*[a-zA-Z]//g; s/\x1b\(B//g; s/\x1b\[\?[0-9]*[hl]//g; s/\r//g' \
| grep -v '^[[:space:]]*$' || true)
# --- Check: explicit completion marker ---
# Must be on its own line (not buried in the objective text sent at spawn time).
if echo "$CLEAN" | grep -qE "^[[:space:]]*ORCHESTRATOR:DONE[[:space:]]*$"; then
jq -n --arg cmd "$PANE_CMD" '{"state":"complete","reason":"ORCHESTRATOR:DONE marker found","pane_cmd":$cmd}'
exit 0
fi
# --- Check: Claude Code approval prompt patterns ---
LAST_40=$(echo "$CLEAN" | tail -40)
APPROVAL_PATTERNS=(
"Do you want to proceed"
"Do you want to make this"
"\\[y/n\\]"
"\\[Y/n\\]"
"\\[n/Y\\]"
"Proceed\\?"
"Allow this command"
"Run bash command"
"Allow bash"
"Would you like"
"Press enter to continue"
"Esc to cancel"
)
for pattern in "${APPROVAL_PATTERNS[@]}"; do
if echo "$LAST_40" | grep -qiE "$pattern"; then
jq -n --arg pattern "$pattern" --arg cmd "$PANE_CMD" \
'{"state":"waiting_approval","reason":"approval pattern: \($pattern)","pane_cmd":$cmd}'
exit 0
fi
done
# --- Check: shell prompt (claude has exited) ---
# If the foreground process is a shell (not claude/node), the agent has exited
case "$PANE_CMD" in
zsh|bash|fish|sh|dash|tcsh|ksh)
jq -n --arg cmd "$PANE_CMD" \
'{"state":"idle","reason":"agent exited — shell prompt active","pane_cmd":$cmd}'
exit 0
;;
esac
# Agent is still running (claude/node/python is the foreground process)
jq -n --arg cmd "$PANE_CMD" \
'{"state":"running","reason":"foreground process: \($cmd)","pane_cmd":$cmd}'
exit 0

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@@ -0,0 +1,24 @@
#!/usr/bin/env bash
# find-spare.sh — list worktrees on spare/N branches (free to use)
#
# Usage: find-spare.sh [REPO_ROOT]
# REPO_ROOT defaults to the root worktree containing the current git repo.
#
# Output (stdout): one line per available worktree: "PATH BRANCH"
# e.g.: /Users/me/Code/AutoGPT3 spare/3
set -euo pipefail
REPO_ROOT="${1:-$(git rev-parse --show-toplevel 2>/dev/null || echo "")}"
if [ -z "$REPO_ROOT" ]; then
echo "Error: not inside a git repo and no REPO_ROOT provided" >&2
exit 1
fi
git -C "$REPO_ROOT" worktree list --porcelain \
| awk '
/^worktree / { path = substr($0, 10) }
/^branch / { branch = substr($0, 8); print path " " branch }
' \
| { grep -E " refs/heads/spare/[0-9]+$" || true; } \
| sed 's|refs/heads/||'

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@@ -0,0 +1,40 @@
#!/usr/bin/env bash
# notify.sh — send a fleet notification message
#
# Delivery order (first available wins):
# 1. Discord webhook — DISCORD_WEBHOOK_URL env var OR state file .discord_webhook
# 2. macOS notification center — osascript (silent fail if unavailable)
# 3. Stdout only
#
# Usage: notify.sh MESSAGE
# Exit: always 0 (notification failure must not abort the caller)
MESSAGE="${1:-}"
[ -z "$MESSAGE" ] && exit 0
STATE_FILE="${ORCHESTRATOR_STATE_FILE:-$HOME/.claude/orchestrator-state.json}"
# --- Resolve Discord webhook ---
WEBHOOK="${DISCORD_WEBHOOK_URL:-}"
if [ -z "$WEBHOOK" ] && [ -f "$STATE_FILE" ]; then
WEBHOOK=$(jq -r '.discord_webhook // ""' "$STATE_FILE" 2>/dev/null || echo "")
fi
# --- Discord delivery ---
if [ -n "$WEBHOOK" ]; then
PAYLOAD=$(jq -n --arg msg "$MESSAGE" '{"content": $msg}')
curl -s -X POST "$WEBHOOK" \
-H "Content-Type: application/json" \
-d "$PAYLOAD" > /dev/null 2>&1 || true
fi
# --- macOS notification center (silent if not macOS or osascript missing) ---
if command -v osascript &>/dev/null 2>&1; then
# Escape single quotes for AppleScript
SAFE_MSG=$(echo "$MESSAGE" | sed "s/'/\\\\'/g")
osascript -e "display notification \"${SAFE_MSG}\" with title \"Orchestrator\"" 2>/dev/null || true
fi
# Always print to stdout so run-loop.sh logs it
echo "$MESSAGE"
exit 0

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@@ -0,0 +1,257 @@
#!/usr/bin/env bash
# poll-cycle.sh — Single orchestrator poll cycle
#
# Reads ~/.claude/orchestrator-state.json, classifies each agent, updates state,
# and outputs a JSON array of actions for Claude to take.
#
# Usage: poll-cycle.sh
# Output (stdout): JSON array of action objects
# [{ "window": "work:0", "action": "kick|approve|none", "state": "...",
# "worktree": "...", "objective": "...", "reason": "..." }]
#
# The state file is updated in-place (atomic write via .tmp).
set -euo pipefail
STATE_FILE="${ORCHESTRATOR_STATE_FILE:-$HOME/.claude/orchestrator-state.json}"
SCRIPTS_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
CLASSIFY="$SCRIPTS_DIR/classify-pane.sh"
# Cross-platform md5: always outputs just the hex digest
md5_hash() {
if command -v md5sum &>/dev/null; then
md5sum | awk '{print $1}'
else
md5 | awk '{print $NF}'
fi
}
# Clean up temp file on any exit (avoids stale .tmp if jq write fails)
trap 'rm -f "${STATE_FILE}.tmp"' EXIT
# Ensure state file exists
if [ ! -f "$STATE_FILE" ]; then
echo '{"active":false,"agents":[]}' > "$STATE_FILE"
fi
# Validate JSON upfront before any jq reads that run under set -e.
# A truncated/corrupt file (e.g. from a SIGKILL mid-write) would otherwise
# abort the script at the ACTIVE read below without emitting any JSON output.
if ! jq -e '.' "$STATE_FILE" >/dev/null 2>&1; then
echo "State file parse error — check $STATE_FILE" >&2
echo "[]"
exit 0
fi
ACTIVE=$(jq -r '.active // false' "$STATE_FILE")
if [ "$ACTIVE" != "true" ]; then
echo "[]"
exit 0
fi
NOW=$(date +%s)
IDLE_THRESHOLD=$(jq -r '.idle_threshold_seconds // 300' "$STATE_FILE")
ACTIONS="[]"
UPDATED_AGENTS="[]"
# Read agents as newline-delimited JSON objects.
# jq exits non-zero when .agents[] has no matches on an empty array, which is valid —
# so we suppress that exit code and separately validate the file is well-formed JSON.
if ! AGENTS_JSON=$(jq -e -c '.agents // empty | .[]' "$STATE_FILE" 2>/dev/null); then
if ! jq -e '.' "$STATE_FILE" > /dev/null 2>&1; then
echo "State file parse error — check $STATE_FILE" >&2
fi
echo "[]"
exit 0
fi
if [ -z "$AGENTS_JSON" ]; then
echo "[]"
exit 0
fi
while IFS= read -r agent; do
[ -z "$agent" ] && continue
# Use // "" defaults so a single malformed field doesn't abort the whole cycle
WINDOW=$(echo "$agent" | jq -r '.window // ""')
WORKTREE=$(echo "$agent" | jq -r '.worktree // ""')
OBJECTIVE=$(echo "$agent"| jq -r '.objective // ""')
STATE=$(echo "$agent" | jq -r '.state // "running"')
LAST_HASH=$(echo "$agent"| jq -r '.last_output_hash // ""')
IDLE_SINCE=$(echo "$agent"| jq -r '.idle_since // 0')
REVISION_COUNT=$(echo "$agent"| jq -r '.revision_count // 0')
# Validate window format to prevent tmux target injection.
# Allow session:window (numeric or named) and session:window.pane
if ! [[ "$WINDOW" =~ ^[a-zA-Z0-9_.-]+:[a-zA-Z0-9_.-]+(\.[0-9]+)?$ ]]; then
echo "Skipping agent with invalid window value: $WINDOW" >&2
UPDATED_AGENTS=$(echo "$UPDATED_AGENTS" | jq --argjson a "$agent" '. + [$a]')
continue
fi
# Pass-through terminal-state agents
if [[ "$STATE" == "done" || "$STATE" == "escalated" || "$STATE" == "complete" || "$STATE" == "pending_evaluation" ]]; then
UPDATED_AGENTS=$(echo "$UPDATED_AGENTS" | jq --argjson a "$agent" '. + [$a]')
continue
fi
# Classify pane.
# classify-pane.sh always emits JSON before exit (even on error), so using
# "|| echo '...'" would concatenate two JSON objects when it exits non-zero.
# Use "|| true" inside the substitution so set -euo pipefail does not abort
# the poll cycle when classify exits with a non-zero status code.
CLASSIFICATION=$("$CLASSIFY" "$WINDOW" 2>/dev/null || true)
[ -z "$CLASSIFICATION" ] && CLASSIFICATION='{"state":"error","reason":"classify failed","pane_cmd":"unknown"}'
PANE_STATE=$(echo "$CLASSIFICATION" | jq -r '.state')
PANE_REASON=$(echo "$CLASSIFICATION" | jq -r '.reason')
# Capture full pane output once — used for hash (stuck detection) and checkpoint parsing.
# Use -S -500 to get the last ~500 lines of scrollback so checkpoints aren't missed.
RAW=$(tmux capture-pane -t "$WINDOW" -p -S -500 2>/dev/null || echo "")
# --- Checkpoint tracking ---
# Parse any "CHECKPOINT:<step>" lines the agent has output and merge into state file.
# The agent writes these as it completes each required step so verify-complete.sh can gate recycling.
EXISTING_CPS=$(echo "$agent" | jq -c '.checkpoints // []')
NEW_CHECKPOINTS_JSON="$EXISTING_CPS"
if [ -n "$RAW" ]; then
FOUND_CPS=$(echo "$RAW" \
| grep -oE "CHECKPOINT:[a-zA-Z0-9_-]+" \
| sed 's/CHECKPOINT://' \
| sort -u \
| jq -R . | jq -s . 2>/dev/null || echo "[]")
NEW_CHECKPOINTS_JSON=$(jq -n \
--argjson existing "$EXISTING_CPS" \
--argjson found "$FOUND_CPS" \
'($existing + $found) | unique' 2>/dev/null || echo "$EXISTING_CPS")
fi
# Compute content hash for stuck-detection (only for running agents)
CURRENT_HASH=""
if [[ "$PANE_STATE" == "running" ]] && [ -n "$RAW" ]; then
CURRENT_HASH=$(echo "$RAW" | tail -20 | md5_hash)
fi
NEW_STATE="$STATE"
NEW_IDLE_SINCE="$IDLE_SINCE"
NEW_REVISION_COUNT="$REVISION_COUNT"
ACTION="none"
REASON="$PANE_REASON"
case "$PANE_STATE" in
complete)
# Agent output ORCHESTRATOR:DONE — mark pending_evaluation so orchestrator handles it.
# run-loop does NOT verify or notify; orchestrator's background poll picks this up.
NEW_STATE="pending_evaluation"
ACTION="complete" # run-loop logs it but takes no action
;;
waiting_approval)
NEW_STATE="waiting_approval"
ACTION="approve"
;;
idle)
# Agent process has exited — needs restart
NEW_STATE="idle"
ACTION="kick"
REASON="agent exited (shell is foreground)"
NEW_REVISION_COUNT=$(( REVISION_COUNT + 1 ))
NEW_IDLE_SINCE=$NOW
if [ "$NEW_REVISION_COUNT" -ge 3 ]; then
NEW_STATE="escalated"
ACTION="none"
REASON="escalated after ${NEW_REVISION_COUNT} kicks — needs human attention"
fi
;;
running)
# Clear idle_since only when transitioning from idle (agent was kicked and
# restarted). Do NOT reset for stuck — idle_since must persist across polls
# so STUCK_DURATION can accumulate and trigger escalation.
# Also update the local IDLE_SINCE so the hash-stability check below uses
# the reset value on this same poll, not the stale kick timestamp.
if [[ "$STATE" == "idle" ]]; then
NEW_IDLE_SINCE=0
IDLE_SINCE=0
fi
# Check if hash has been stable (agent may be stuck mid-task)
if [ -n "$CURRENT_HASH" ] && [ "$CURRENT_HASH" = "$LAST_HASH" ] && [ "$LAST_HASH" != "" ]; then
if [ "$IDLE_SINCE" = "0" ] || [ "$IDLE_SINCE" = "null" ]; then
NEW_IDLE_SINCE=$NOW
else
STUCK_DURATION=$(( NOW - IDLE_SINCE ))
if [ "$STUCK_DURATION" -gt "$IDLE_THRESHOLD" ]; then
NEW_REVISION_COUNT=$(( REVISION_COUNT + 1 ))
NEW_IDLE_SINCE=$NOW
if [ "$NEW_REVISION_COUNT" -ge 3 ]; then
NEW_STATE="escalated"
ACTION="none"
REASON="escalated after ${NEW_REVISION_COUNT} kicks — needs human attention"
else
NEW_STATE="stuck"
ACTION="kick"
REASON="output unchanged for ${STUCK_DURATION}s (threshold: ${IDLE_THRESHOLD}s)"
fi
fi
fi
else
# Only reset the idle timer when we have a valid hash comparison (pane
# capture succeeded). If CURRENT_HASH is empty (tmux capture-pane failed),
# preserve existing timers so stuck detection is not inadvertently reset.
if [ -n "$CURRENT_HASH" ]; then
NEW_STATE="running"
NEW_IDLE_SINCE=0
fi
fi
;;
error)
REASON="classify error: $PANE_REASON"
;;
esac
# Build updated agent record (ensure idle_since and revision_count are numeric)
# Use || true on each jq call so a malformed field skips this agent rather than
# aborting the entire poll cycle under set -e.
UPDATED_AGENT=$(echo "$agent" | jq \
--arg state "$NEW_STATE" \
--arg hash "$CURRENT_HASH" \
--argjson now "$NOW" \
--arg idle_since "$NEW_IDLE_SINCE" \
--arg revision_count "$NEW_REVISION_COUNT" \
--argjson checkpoints "$NEW_CHECKPOINTS_JSON" \
'.state = $state
| .last_output_hash = (if $hash == "" then .last_output_hash else $hash end)
| .last_seen_at = $now
| .idle_since = ($idle_since | tonumber)
| .revision_count = ($revision_count | tonumber)
| .checkpoints = $checkpoints' 2>/dev/null) || {
echo "Warning: failed to build updated agent for window $WINDOW — keeping original" >&2
UPDATED_AGENTS=$(echo "$UPDATED_AGENTS" | jq --argjson a "$agent" '. + [$a]')
continue
}
UPDATED_AGENTS=$(echo "$UPDATED_AGENTS" | jq --argjson a "$UPDATED_AGENT" '. + [$a]')
# Add action if needed
if [ "$ACTION" != "none" ]; then
ACTION_OBJ=$(jq -n \
--arg window "$WINDOW" \
--arg action "$ACTION" \
--arg state "$NEW_STATE" \
--arg worktree "$WORKTREE" \
--arg objective "$OBJECTIVE" \
--arg reason "$REASON" \
'{window:$window, action:$action, state:$state, worktree:$worktree, objective:$objective, reason:$reason}')
ACTIONS=$(echo "$ACTIONS" | jq --argjson a "$ACTION_OBJ" '. + [$a]')
fi
done <<< "$AGENTS_JSON"
# Atomic state file update
jq --argjson agents "$UPDATED_AGENTS" \
--argjson now "$NOW" \
'.agents = $agents | .last_poll_at = $now' \
"$STATE_FILE" > "${STATE_FILE}.tmp" && mv "${STATE_FILE}.tmp" "$STATE_FILE"
echo "$ACTIONS"

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#!/usr/bin/env bash
# recycle-agent.sh — kill a tmux window and restore the worktree to its spare branch
#
# Usage: recycle-agent.sh WINDOW WORKTREE_PATH SPARE_BRANCH
# WINDOW — tmux target, e.g. autogpt1:3
# WORKTREE_PATH — absolute path to the git worktree
# SPARE_BRANCH — branch to restore, e.g. spare/6
#
# Stdout: one status line
set -euo pipefail
if [ $# -lt 3 ]; then
echo "Usage: recycle-agent.sh WINDOW WORKTREE_PATH SPARE_BRANCH" >&2
exit 1
fi
WINDOW="$1"
WORKTREE_PATH="$2"
SPARE_BRANCH="$3"
# Kill the tmux window (ignore error — may already be gone)
tmux kill-window -t "$WINDOW" 2>/dev/null || true
# Restore to spare branch: abort any in-progress operation, then clean
git -C "$WORKTREE_PATH" rebase --abort 2>/dev/null || true
git -C "$WORKTREE_PATH" merge --abort 2>/dev/null || true
git -C "$WORKTREE_PATH" reset --hard HEAD 2>/dev/null
git -C "$WORKTREE_PATH" clean -fd 2>/dev/null
git -C "$WORKTREE_PATH" checkout "$SPARE_BRANCH"
echo "Recycled: $(basename "$WORKTREE_PATH")$SPARE_BRANCH (window $WINDOW closed)"

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#!/usr/bin/env bash
# run-loop.sh — Mechanical babysitter for the agent fleet (runs in its own tmux window)
#
# Handles ONLY two things that need no intelligence:
# idle → restart claude using --resume SESSION_ID (or --continue) to restore context
# approve → auto-approve safe dialogs, press Enter on numbered-option dialogs
#
# Everything else — ORCHESTRATOR:DONE, verification, /pr-test, final evaluation,
# marking done, deciding to close windows — is the orchestrating Claude's job.
# poll-cycle.sh sets state to pending_evaluation when ORCHESTRATOR:DONE is detected;
# the orchestrator's background poll loop handles it from there.
#
# Usage: run-loop.sh
# Env: POLL_INTERVAL (default: 30), ORCHESTRATOR_STATE_FILE
set -euo pipefail
# Copy scripts to a stable location outside the repo so they survive branch
# checkouts (e.g. recycle-agent.sh switching spare/N back into this worktree
# would wipe .claude/skills/orchestrate/scripts if the skill only exists on the
# current branch).
_ORIGIN_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
STABLE_SCRIPTS_DIR="$HOME/.claude/orchestrator/scripts"
mkdir -p "$STABLE_SCRIPTS_DIR"
cp "$_ORIGIN_DIR"/*.sh "$STABLE_SCRIPTS_DIR/"
chmod +x "$STABLE_SCRIPTS_DIR"/*.sh
SCRIPTS_DIR="$STABLE_SCRIPTS_DIR"
STATE_FILE="${ORCHESTRATOR_STATE_FILE:-$HOME/.claude/orchestrator-state.json}"
# Adaptive polling: starts at base interval, backs off up to POLL_IDLE_MAX when
# no agents need attention, resets on any activity or waiting_approval state.
POLL_INTERVAL="${POLL_INTERVAL:-30}"
POLL_IDLE_MAX=${POLL_IDLE_MAX:-300}
POLL_CURRENT=$POLL_INTERVAL
# ---------------------------------------------------------------------------
# update_state WINDOW FIELD VALUE
# ---------------------------------------------------------------------------
update_state() {
local window="$1" field="$2" value="$3"
jq --arg w "$window" --arg f "$field" --arg v "$value" \
'.agents |= map(if .window == $w then .[$f] = $v else . end)' \
"$STATE_FILE" > "${STATE_FILE}.tmp" && mv "${STATE_FILE}.tmp" "$STATE_FILE"
}
update_state_int() {
local window="$1" field="$2" value="$3"
jq --arg w "$window" --arg f "$field" --argjson v "$value" \
'.agents |= map(if .window == $w then .[$f] = $v else . end)' \
"$STATE_FILE" > "${STATE_FILE}.tmp" && mv "${STATE_FILE}.tmp" "$STATE_FILE"
}
agent_field() {
jq -r --arg w "$1" --arg f "$2" \
'.agents[] | select(.window == $w) | .[$f] // ""' \
"$STATE_FILE" 2>/dev/null
}
# ---------------------------------------------------------------------------
# wait_for_prompt WINDOW — wait up to 60s for Claude's prompt
# ---------------------------------------------------------------------------
wait_for_prompt() {
local window="$1"
for i in $(seq 1 60); do
local cmd pane
cmd=$(tmux display-message -t "$window" -p '#{pane_current_command}' 2>/dev/null || echo "")
pane=$(tmux capture-pane -t "$window" -p 2>/dev/null || echo "")
if echo "$pane" | grep -q "Enter to confirm"; then
tmux send-keys -t "$window" Down Enter; sleep 2; continue
fi
[[ "$cmd" == "node" ]] && echo "$pane" | grep -q "" && return 0
sleep 1
done
return 1 # timed out
}
# ---------------------------------------------------------------------------
# wait_for_claude_idle WINDOW — wait up to 30s for Claude to reach idle prompt
# (no spinner or busy indicator visible in the last 3 lines of pane output)
# Returns 0 when idle, 1 on timeout.
# ---------------------------------------------------------------------------
wait_for_claude_idle() {
local window="$1"
local timeout="${2:-30}"
local elapsed=0
while (( elapsed < timeout )); do
local cmd pane pane_tail
cmd=$(tmux display-message -t "$window" -p '#{pane_current_command}' 2>/dev/null || echo "")
pane=$(tmux capture-pane -t "$window" -p 2>/dev/null || echo "")
pane_tail=$(echo "$pane" | tail -3)
# Check full pane (not just tail) — 'Enter to confirm' dialog can scroll above last 3 lines.
# Do NOT reset elapsed — resetting allows an infinite loop if the dialog never clears.
if echo "$pane" | grep -q "Enter to confirm"; then
tmux send-keys -t "$window" Down Enter
sleep 2; (( elapsed += 2 )); continue
fi
# Must be running under node (Claude is live)
if [[ "$cmd" == "node" ]]; then
# Idle: prompt visible AND no spinner/busy text in last 3 lines
if echo "$pane_tail" | grep -q "" && \
! echo "$pane_tail" | grep -qE '[✳✽✢✶·✻✼✿❋✤]|Running…|Compacting'; then
return 0
fi
fi
sleep 2
(( elapsed += 2 ))
done
return 1 # timed out
}
# ---------------------------------------------------------------------------
# handle_kick WINDOW STATE — only for idle (crashed) agents, not stuck
# ---------------------------------------------------------------------------
handle_kick() {
local window="$1" state="$2"
[[ "$state" != "idle" ]] && return # stuck agents handled by supervisor
local worktree_path session_id
worktree_path=$(agent_field "$window" "worktree_path")
session_id=$(agent_field "$window" "session_id")
echo "[$(date +%H:%M:%S)] KICK restart $window — agent exited, resuming session"
# Wait for the shell prompt before typing — avoids sending into a still-draining pane
wait_for_claude_idle "$window" 30 \
|| echo "[$(date +%H:%M:%S)] KICK WARNING $window — pane still busy before resume, sending anyway"
# Resume the exact session so the agent retains full context — no need to re-send objective
if [ -n "$session_id" ]; then
tmux send-keys -t "$window" "cd '${worktree_path}' && claude --resume '${session_id}' --permission-mode bypassPermissions" Enter
else
tmux send-keys -t "$window" "cd '${worktree_path}' && claude --continue --permission-mode bypassPermissions" Enter
fi
wait_for_prompt "$window" || echo "[$(date +%H:%M:%S)] KICK WARNING $window — timed out waiting for "
}
# ---------------------------------------------------------------------------
# handle_approve WINDOW — auto-approve dialogs that need no judgment
# ---------------------------------------------------------------------------
handle_approve() {
local window="$1"
local pane_tail
pane_tail=$(tmux capture-pane -t "$window" -p 2>/dev/null | tail -3 || echo "")
# Settings error dialog at startup
if echo "$pane_tail" | grep -q "Enter to confirm"; then
echo "[$(date +%H:%M:%S)] APPROVE dialog $window — settings error"
tmux send-keys -t "$window" Down Enter
return
fi
# Numbered-option dialog (e.g. "Do you want to make this edit?")
# is already on option 1 (Yes) — Enter confirms it
if echo "$pane_tail" | grep -qE "\s*1\." || echo "$pane_tail" | grep -q "Esc to cancel"; then
echo "[$(date +%H:%M:%S)] APPROVE edit $window"
tmux send-keys -t "$window" "" Enter
return
fi
# y/n prompt for safe operations
if echo "$pane_tail" | grep -qiE "(^git |^npm |^pnpm |^poetry |^pytest|^docker |^make |^cargo |^pip |^yarn |curl .*(localhost|127\.0\.0\.1))"; then
echo "[$(date +%H:%M:%S)] APPROVE safe $window"
tmux send-keys -t "$window" "y" Enter
return
fi
# Anything else — supervisor handles it, just log
echo "[$(date +%H:%M:%S)] APPROVE skip $window — unknown dialog, supervisor will handle"
}
# ---------------------------------------------------------------------------
# Main loop
# ---------------------------------------------------------------------------
echo "[$(date +%H:%M:%S)] run-loop started (mechanical only, poll ${POLL_INTERVAL}s→${POLL_IDLE_MAX}s adaptive)"
echo "[$(date +%H:%M:%S)] Supervisor: orchestrating Claude session (not a separate window)"
echo "---"
while true; do
if ! jq -e '.active == true' "$STATE_FILE" >/dev/null 2>&1; then
echo "[$(date +%H:%M:%S)] active=false — exiting."
exit 0
fi
ACTIONS=$("$SCRIPTS_DIR/poll-cycle.sh" 2>/dev/null || echo "[]")
KICKED=0; DONE=0
while IFS= read -r action; do
[ -z "$action" ] && continue
WINDOW=$(echo "$action" | jq -r '.window // ""')
ACTION=$(echo "$action" | jq -r '.action // ""')
STATE=$(echo "$action" | jq -r '.state // ""')
case "$ACTION" in
kick) handle_kick "$WINDOW" "$STATE" || true; KICKED=$(( KICKED + 1 )) ;;
approve) handle_approve "$WINDOW" || true ;;
complete) DONE=$(( DONE + 1 )) ;; # poll-cycle already set state=pending_evaluation; orchestrator handles
esac
done < <(echo "$ACTIONS" | jq -c '.[]' 2>/dev/null || true)
RUNNING=$(jq '[.agents[] | select(.state | test("running|stuck|waiting_approval|idle"))] | length' \
"$STATE_FILE" 2>/dev/null || echo 0)
# Adaptive backoff: reset to base on activity or waiting_approval agents; back off when truly idle
WAITING=$(jq '[.agents[] | select(.state == "waiting_approval")] | length' "$STATE_FILE" 2>/dev/null || echo 0)
if (( KICKED > 0 || DONE > 0 || WAITING > 0 )); then
POLL_CURRENT=$POLL_INTERVAL
else
POLL_CURRENT=$(( POLL_CURRENT + POLL_CURRENT / 2 + 1 ))
(( POLL_CURRENT > POLL_IDLE_MAX )) && POLL_CURRENT=$POLL_IDLE_MAX
fi
echo "[$(date +%H:%M:%S)] Poll — ${RUNNING} running ${KICKED} kicked ${DONE} recycled (next in ${POLL_CURRENT}s)"
sleep "$POLL_CURRENT"
done

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#!/usr/bin/env bash
# spawn-agent.sh — create tmux window, checkout branch, launch claude, send task
#
# Usage: spawn-agent.sh SESSION WORKTREE_PATH SPARE_BRANCH NEW_BRANCH OBJECTIVE [PR_NUMBER] [STEPS...]
# SESSION — tmux session name, e.g. autogpt1
# WORKTREE_PATH — absolute path to the git worktree
# SPARE_BRANCH — spare branch being replaced, e.g. spare/6 (saved for recycle)
# NEW_BRANCH — task branch to create, e.g. feat/my-feature
# OBJECTIVE — task description sent to the agent
# PR_NUMBER — (optional) GitHub PR number for completion verification
# STEPS... — (optional) required checkpoint names, e.g. pr-address pr-test
#
# Stdout: SESSION:WINDOW_INDEX (nothing else — callers rely on this)
# Exit non-zero on failure.
set -euo pipefail
if [ $# -lt 5 ]; then
echo "Usage: spawn-agent.sh SESSION WORKTREE_PATH SPARE_BRANCH NEW_BRANCH OBJECTIVE [PR_NUMBER] [STEPS...]" >&2
exit 1
fi
SESSION="$1"
WORKTREE_PATH="$2"
SPARE_BRANCH="$3"
NEW_BRANCH="$4"
OBJECTIVE="$5"
PR_NUMBER="${6:-}"
STEPS=("${@:7}")
WORKTREE_NAME=$(basename "$WORKTREE_PATH")
STATE_FILE="${ORCHESTRATOR_STATE_FILE:-$HOME/.claude/orchestrator-state.json}"
# Generate a stable session ID so this agent's Claude session can always be resumed:
# claude --resume $SESSION_ID --permission-mode bypassPermissions
SESSION_ID=$(uuidgen 2>/dev/null || python3 -c "import uuid; print(uuid.uuid4())")
# Create (or switch to) the task branch
git -C "$WORKTREE_PATH" checkout -b "$NEW_BRANCH" 2>/dev/null \
|| git -C "$WORKTREE_PATH" checkout "$NEW_BRANCH"
# Open a new named tmux window; capture its numeric index
WIN_IDX=$(tmux new-window -t "$SESSION" -n "$WORKTREE_NAME" -P -F '#{window_index}')
WINDOW="${SESSION}:${WIN_IDX}"
# Append the initial agent record to the state file so subsequent jq updates find it.
# This must happen before the pr_number/steps update below.
if [ -f "$STATE_FILE" ]; then
NOW=$(date +%s)
jq --arg window "$WINDOW" \
--arg worktree "$WORKTREE_NAME" \
--arg worktree_path "$WORKTREE_PATH" \
--arg spare_branch "$SPARE_BRANCH" \
--arg branch "$NEW_BRANCH" \
--arg objective "$OBJECTIVE" \
--arg session_id "$SESSION_ID" \
--argjson now "$NOW" \
'.agents += [{
"window": $window,
"worktree": $worktree,
"worktree_path": $worktree_path,
"spare_branch": $spare_branch,
"branch": $branch,
"objective": $objective,
"session_id": $session_id,
"state": "running",
"checkpoints": [],
"last_output_hash": "",
"last_seen_at": $now,
"spawned_at": $now,
"idle_since": 0,
"revision_count": 0,
"last_rebriefed_at": 0
}]' "$STATE_FILE" > "${STATE_FILE}.tmp" && mv "${STATE_FILE}.tmp" "$STATE_FILE"
fi
# Store pr_number + steps in state file if provided (enables verify-complete.sh).
# The agent record was appended above so the jq select now finds it.
if [ -n "$PR_NUMBER" ] && [ -f "$STATE_FILE" ]; then
if [ "${#STEPS[@]}" -gt 0 ]; then
STEPS_JSON=$(printf '%s\n' "${STEPS[@]}" | jq -R . | jq -s .)
else
STEPS_JSON='[]'
fi
jq --arg w "$WINDOW" --arg pr "$PR_NUMBER" --argjson steps "$STEPS_JSON" \
'.agents |= map(if .window == $w then . + {pr_number: $pr, steps: $steps, checkpoints: []} else . end)' \
"$STATE_FILE" > "${STATE_FILE}.tmp" && mv "${STATE_FILE}.tmp" "$STATE_FILE"
fi
# Launch claude with a stable session ID so it can always be resumed after a crash:
# claude --resume SESSION_ID --permission-mode bypassPermissions
tmux send-keys -t "$WINDOW" "cd '${WORKTREE_PATH}' && claude --permission-mode bypassPermissions --session-id '${SESSION_ID}'" Enter
# wait_for_claude_idle — poll until the pane shows idle with no spinner in the last 3 lines.
# Returns 0 when idle, 1 on timeout.
_wait_idle() {
local window="$1" timeout="${2:-60}" elapsed=0
while (( elapsed < timeout )); do
local cmd pane_tail
cmd=$(tmux display-message -t "$window" -p '#{pane_current_command}' 2>/dev/null || echo "")
pane=$(tmux capture-pane -t "$window" -p 2>/dev/null || echo "")
pane_tail=$(echo "$pane" | tail -3)
# Check full pane (not just tail) — 'Enter to confirm' dialog can appear above the last 3 lines
if echo "$pane" | grep -q "Enter to confirm"; then
tmux send-keys -t "$window" Down Enter
sleep 2; (( elapsed += 2 )); continue
fi
if [[ "$cmd" == "node" ]] && \
echo "$pane_tail" | grep -q "" && \
! echo "$pane_tail" | grep -qE '[✳✽✢✶·✻✼✿❋✤]|Running…|Compacting'; then
return 0
fi
sleep 2; (( elapsed += 2 ))
done
return 1
}
# Wait up to 60s for claude to be fully interactive and idle ( visible, no spinner).
if ! _wait_idle "$WINDOW" 60; then
echo "[spawn-agent] WARNING: timed out waiting for idle prompt on $WINDOW — sending objective anyway" >&2
fi
# Send the task. Split text and Enter — if combined, Enter can fire before the string
# is fully buffered, leaving the message stuck as "[Pasted text +N lines]" unsent.
tmux send-keys -t "$WINDOW" "${OBJECTIVE} Output each completed step as CHECKPOINT:<step-name>. When ALL steps are done, output ORCHESTRATOR:DONE on its own line."
sleep 0.3
tmux send-keys -t "$WINDOW" Enter
# Only output the window address — nothing else (callers parse this)
echo "$WINDOW"

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#!/usr/bin/env bash
# status.sh — print orchestrator status: state file summary + live tmux pane commands
#
# Usage: status.sh
# Reads: ~/.claude/orchestrator-state.json
set -euo pipefail
STATE_FILE="${ORCHESTRATOR_STATE_FILE:-$HOME/.claude/orchestrator-state.json}"
if [ ! -f "$STATE_FILE" ] || ! jq -e '.' "$STATE_FILE" >/dev/null 2>&1; then
echo "No orchestrator state found at $STATE_FILE"
exit 0
fi
# Header: active status, session, thresholds, last poll
jq -r '
"=== Orchestrator [\(if .active then "RUNNING" else "STOPPED" end)] ===",
"Session: \(.tmux_session // "unknown") | Idle threshold: \(.idle_threshold_seconds // 300)s",
"Last poll: \(if (.last_poll_at // 0) == 0 then "never" else (.last_poll_at | strftime("%H:%M:%S")) end)",
""
' "$STATE_FILE"
# Each agent: state, window, worktree/branch, truncated objective
AGENT_COUNT=$(jq '.agents | length' "$STATE_FILE")
if [ "$AGENT_COUNT" -eq 0 ]; then
echo " (no agents registered)"
else
jq -r '
.agents[] |
" [\(.state | ascii_upcase)] \(.window) \(.worktree)/\(.branch)",
" \(.objective // "" | .[0:70])"
' "$STATE_FILE"
fi
echo ""
# Live pane_current_command for non-done agents
while IFS= read -r WINDOW; do
[ -z "$WINDOW" ] && continue
CMD=$(tmux display-message -t "$WINDOW" -p '#{pane_current_command}' 2>/dev/null || echo "unreachable")
echo " $WINDOW live: $CMD"
done < <(jq -r '.agents[] | select(.state != "done") | .window' "$STATE_FILE" 2>/dev/null || true)

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#!/usr/bin/env bash
# verify-complete.sh — verify a PR task is truly done before marking the agent done
#
# Check order matters:
# 1. Checkpoints — did the agent do all required steps?
# 2. CI complete — no pending (bots post comments AFTER their check runs, must wait)
# 3. CI passing — no failures (agent must fix before done)
# 4. spawned_at — a new CI run was triggered after agent spawned (proves real work)
# 5. Unresolved threads — checked AFTER CI so bot-posted comments are included
# 6. CHANGES_REQUESTED — checked AFTER CI so bot reviews are included
#
# Usage: verify-complete.sh WINDOW
# Exit 0 = verified complete; exit 1 = not complete (stderr has reason)
set -euo pipefail
WINDOW="$1"
STATE_FILE="${ORCHESTRATOR_STATE_FILE:-$HOME/.claude/orchestrator-state.json}"
PR_NUMBER=$(jq -r --arg w "$WINDOW" '.agents[] | select(.window == $w) | .pr_number // ""' "$STATE_FILE" 2>/dev/null)
STEPS=$(jq -r --arg w "$WINDOW" '.agents[] | select(.window == $w) | .steps // [] | .[]' "$STATE_FILE" 2>/dev/null || true)
CHECKPOINTS=$(jq -r --arg w "$WINDOW" '.agents[] | select(.window == $w) | .checkpoints // [] | .[]' "$STATE_FILE" 2>/dev/null || true)
WORKTREE_PATH=$(jq -r --arg w "$WINDOW" '.agents[] | select(.window == $w) | .worktree_path // ""' "$STATE_FILE" 2>/dev/null)
BRANCH=$(jq -r --arg w "$WINDOW" '.agents[] | select(.window == $w) | .branch // ""' "$STATE_FILE" 2>/dev/null)
SPAWNED_AT=$(jq -r --arg w "$WINDOW" '.agents[] | select(.window == $w) | .spawned_at // "0"' "$STATE_FILE" 2>/dev/null || echo "0")
# No PR number = cannot verify
if [ -z "$PR_NUMBER" ]; then
echo "NOT COMPLETE: no pr_number in state — set pr_number or mark done manually" >&2
exit 1
fi
# --- Check 1: all required steps are checkpointed ---
MISSING=""
while IFS= read -r step; do
[ -z "$step" ] && continue
if ! echo "$CHECKPOINTS" | grep -qFx "$step"; then
MISSING="$MISSING $step"
fi
done <<< "$STEPS"
if [ -n "$MISSING" ]; then
echo "NOT COMPLETE: missing checkpoints:$MISSING on PR #$PR_NUMBER" >&2
exit 1
fi
# Resolve repo for all GitHub checks below
REPO=$(jq -r '.repo // ""' "$STATE_FILE" 2>/dev/null || echo "")
if [ -z "$REPO" ] && [ -n "$WORKTREE_PATH" ] && [ -d "$WORKTREE_PATH" ]; then
REPO=$(git -C "$WORKTREE_PATH" remote get-url origin 2>/dev/null \
| sed 's|.*github\.com[:/]||; s|\.git$||' || echo "")
fi
if [ -z "$REPO" ]; then
echo "Warning: cannot resolve repo — skipping CI/thread checks" >&2
echo "VERIFIED: PR #$PR_NUMBER — checkpoints ✓ (CI/thread checks skipped — no repo)"
exit 0
fi
CI_BUCKETS=$(gh pr checks "$PR_NUMBER" --repo "$REPO" --json bucket 2>/dev/null || echo "[]")
# --- Check 2: CI fully complete — no pending checks ---
# Pending checks MUST finish before we check threads/reviews:
# bots (Seer, Check PR Status, etc.) post comments and CHANGES_REQUESTED AFTER their CI check runs.
PENDING=$(echo "$CI_BUCKETS" | jq '[.[] | select(.bucket == "pending")] | length' 2>/dev/null || echo "0")
if [ "$PENDING" -gt 0 ]; then
PENDING_NAMES=$(gh pr checks "$PR_NUMBER" --repo "$REPO" --json bucket,name 2>/dev/null \
| jq -r '[.[] | select(.bucket == "pending") | .name] | join(", ")' 2>/dev/null || echo "unknown")
echo "NOT COMPLETE: $PENDING CI checks still pending on PR #$PR_NUMBER ($PENDING_NAMES)" >&2
exit 1
fi
# --- Check 3: CI passing — no failures ---
FAILING=$(echo "$CI_BUCKETS" | jq '[.[] | select(.bucket == "fail")] | length' 2>/dev/null || echo "0")
if [ "$FAILING" -gt 0 ]; then
FAILING_NAMES=$(gh pr checks "$PR_NUMBER" --repo "$REPO" --json bucket,name 2>/dev/null \
| jq -r '[.[] | select(.bucket == "fail") | .name] | join(", ")' 2>/dev/null || echo "unknown")
echo "NOT COMPLETE: $FAILING failing CI checks on PR #$PR_NUMBER ($FAILING_NAMES)" >&2
exit 1
fi
# --- Check 4: a new CI run was triggered AFTER the agent spawned ---
if [ -n "$BRANCH" ] && [ "${SPAWNED_AT:-0}" -gt 0 ]; then
LATEST_RUN_AT=$(gh run list --repo "$REPO" --branch "$BRANCH" \
--json createdAt --limit 1 2>/dev/null | jq -r '.[0].createdAt // ""')
if [ -n "$LATEST_RUN_AT" ]; then
if date --version >/dev/null 2>&1; then
LATEST_RUN_EPOCH=$(date -d "$LATEST_RUN_AT" "+%s" 2>/dev/null || echo "0")
else
LATEST_RUN_EPOCH=$(TZ=UTC date -j -f "%Y-%m-%dT%H:%M:%SZ" "$LATEST_RUN_AT" "+%s" 2>/dev/null || echo "0")
fi
if [ "$LATEST_RUN_EPOCH" -le "$SPAWNED_AT" ]; then
echo "NOT COMPLETE: latest CI run on $BRANCH predates agent spawn — agent may not have pushed yet" >&2
exit 1
fi
fi
fi
OWNER=$(echo "$REPO" | cut -d/ -f1)
REPONAME=$(echo "$REPO" | cut -d/ -f2)
# --- Check 5: no unresolved review threads (checked AFTER CI — bots post after their check) ---
UNRESOLVED=$(gh api graphql -f query="
{ repository(owner: \"${OWNER}\", name: \"${REPONAME}\") {
pullRequest(number: ${PR_NUMBER}) {
reviewThreads(first: 50) { nodes { isResolved } }
}
}
}
" --jq '[.data.repository.pullRequest.reviewThreads.nodes[] | select(.isResolved == false)] | length' 2>/dev/null || echo "0")
if [ "$UNRESOLVED" -gt 0 ]; then
echo "NOT COMPLETE: $UNRESOLVED unresolved review threads on PR #$PR_NUMBER" >&2
exit 1
fi
# --- Check 6: no CHANGES_REQUESTED (checked AFTER CI — bots post reviews after their check) ---
# A CHANGES_REQUESTED review is stale if the latest commit was pushed AFTER the review was submitted.
# Stale reviews (pre-dating the fixing commits) should not block verification.
#
# Fetch commits and latestReviews in a single call and fail closed — if gh fails,
# treat that as NOT COMPLETE rather than silently passing.
# Use latestReviews (not reviews) so each reviewer's latest state is used — superseded
# CHANGES_REQUESTED entries are automatically excluded when the reviewer later approved.
# Note: we intentionally use committedDate (not PR updatedAt) because updatedAt changes on any
# PR activity (bot comments, label changes) which would create false negatives.
PR_REVIEW_METADATA=$(gh pr view "$PR_NUMBER" --repo "$REPO" \
--json commits,latestReviews 2>/dev/null) || {
echo "NOT COMPLETE: unable to fetch PR review metadata for PR #$PR_NUMBER" >&2
exit 1
}
LATEST_COMMIT_DATE=$(jq -r '.commits[-1].committedDate // ""' <<< "$PR_REVIEW_METADATA")
CHANGES_REQUESTED_REVIEWS=$(jq '[.latestReviews[]? | select(.state == "CHANGES_REQUESTED")]' <<< "$PR_REVIEW_METADATA")
BLOCKING_CHANGES_REQUESTED=0
BLOCKING_REQUESTERS=""
if [ -n "$LATEST_COMMIT_DATE" ] && [ "$(echo "$CHANGES_REQUESTED_REVIEWS" | jq length)" -gt 0 ]; then
if date --version >/dev/null 2>&1; then
LATEST_COMMIT_EPOCH=$(date -d "$LATEST_COMMIT_DATE" "+%s" 2>/dev/null || echo "0")
else
LATEST_COMMIT_EPOCH=$(TZ=UTC date -j -f "%Y-%m-%dT%H:%M:%SZ" "$LATEST_COMMIT_DATE" "+%s" 2>/dev/null || echo "0")
fi
while IFS= read -r review; do
[ -z "$review" ] && continue
REVIEW_DATE=$(echo "$review" | jq -r '.submittedAt // ""')
REVIEWER=$(echo "$review" | jq -r '.author.login // "unknown"')
if [ -z "$REVIEW_DATE" ]; then
# No submission date — treat as fresh (conservative: blocks verification)
BLOCKING_CHANGES_REQUESTED=$(( BLOCKING_CHANGES_REQUESTED + 1 ))
BLOCKING_REQUESTERS="${BLOCKING_REQUESTERS:+$BLOCKING_REQUESTERS, }${REVIEWER}"
else
if date --version >/dev/null 2>&1; then
REVIEW_EPOCH=$(date -d "$REVIEW_DATE" "+%s" 2>/dev/null || echo "0")
else
REVIEW_EPOCH=$(TZ=UTC date -j -f "%Y-%m-%dT%H:%M:%SZ" "$REVIEW_DATE" "+%s" 2>/dev/null || echo "0")
fi
if [ "$REVIEW_EPOCH" -gt "$LATEST_COMMIT_EPOCH" ]; then
# Review was submitted AFTER latest commit — still fresh, blocks verification
BLOCKING_CHANGES_REQUESTED=$(( BLOCKING_CHANGES_REQUESTED + 1 ))
BLOCKING_REQUESTERS="${BLOCKING_REQUESTERS:+$BLOCKING_REQUESTERS, }${REVIEWER}"
fi
# Review submitted BEFORE latest commit — stale, skip
fi
done <<< "$(echo "$CHANGES_REQUESTED_REVIEWS" | jq -c '.[]')"
else
# No commit date or no changes_requested — check raw count as fallback
BLOCKING_CHANGES_REQUESTED=$(echo "$CHANGES_REQUESTED_REVIEWS" | jq length 2>/dev/null || echo "0")
BLOCKING_REQUESTERS=$(echo "$CHANGES_REQUESTED_REVIEWS" | jq -r '[.[].author.login] | join(", ")' 2>/dev/null || echo "unknown")
fi
if [ "$BLOCKING_CHANGES_REQUESTED" -gt 0 ]; then
echo "NOT COMPLETE: CHANGES_REQUESTED (after latest commit) from ${BLOCKING_REQUESTERS} on PR #$PR_NUMBER" >&2
exit 1
fi
echo "VERIFIED: PR #$PR_NUMBER — checkpoints ✓, CI complete + green, 0 unresolved threads, no CHANGES_REQUESTED"
exit 0

View File

@@ -25,43 +25,102 @@ Understand the **Why / What / How** before addressing comments — you need cont
gh pr view {N} --json body --jq '.body'
```
> If GraphQL is rate-limited, `gh pr view` fails. See [GitHub rate limits](#github-rate-limits) for REST fallbacks.
## Fetch comments (all sources)
### 1. Inline review threads — GraphQL (primary source of actionable items)
Use GraphQL to fetch inline threads. It natively exposes `isResolved`, returns threads already grouped with all replies, and paginates via cursor — no manual thread reconstruction needed.
> ⚠️ **WARNING — PAGINATE ALL PAGES BEFORE ADDRESSING ANYTHING**
>
> `reviewThreads(first: 100)` returns at most 100 threads per page AND returns threads **oldest-first**. On a PR with many review cycles (e.g. 373 threads), the oldest 100200 threads are from past cycles and are **all already resolved**. Filtering client-side with `select(.isResolved == false)` on page 1 therefore yields **0 results** — even though pages 24 contain many unresolved threads from recent review cycles.
>
> **This is the most common failure mode:** agent fetches page 1, sees 0 unresolved after filtering, stops pagination, reports "done" — while hundreds of unresolved threads sit on later pages.
>
> One observed PR had 142 total threads: page 1 returned 0 unresolved (all old/resolved), while pages 23 had 111 unresolved. Another with 373 threads across 4 pages also had page 1 entirely resolved.
>
> **The rule: ALWAYS paginate to `hasNextPage == false` regardless of the per-page unresolved count. Never stop early because a page returns 0 unresolved.**
**Step 1 — Fetch total count and sanity-check the newest threads:**
```bash
# Get total count and the newest 100 threads (last: 100 returns newest-first)
gh api graphql -f query='
{
repository(owner: "Significant-Gravitas", name: "AutoGPT") {
pullRequest(number: {N}) {
reviewThreads(first: 100) {
pageInfo { hasNextPage endCursor }
nodes {
id
isResolved
path
comments(last: 1) {
nodes { databaseId body author { login } createdAt }
reviewThreads { totalCount }
newest: reviewThreads(last: 100) {
nodes { isResolved }
}
}
}
}' | jq '{ total: .data.repository.pullRequest.reviewThreads.totalCount, newest_unresolved: [.data.repository.pullRequest.newest.nodes[] | select(.isResolved == false)] | length }'
```
If `total > 100`, you have multiple pages — you **must** paginate all of them regardless of what `newest_unresolved` shows. The `last: 100` check is a sanity signal only; the full loop below is mandatory.
**Step 2 — Collect all unresolved thread IDs across all pages:**
```bash
# Accumulate all unresolved threads — loop until hasNextPage == false
CURSOR=""
ALL_THREADS="[]"
while true; do
AFTER=${CURSOR:+", after: \"$CURSOR\""}
PAGE=$(gh api graphql -f query="
{
repository(owner: \"Significant-Gravitas\", name: \"AutoGPT\") {
pullRequest(number: {N}) {
reviewThreads(first: 100${AFTER}) {
pageInfo { hasNextPage endCursor }
nodes {
id
isResolved
path
line
comments(last: 1) {
nodes { databaseId body author { login } }
}
}
}
}
}
}
}'
}")
# Append unresolved nodes from this page
PAGE_THREADS=$(echo "$PAGE" | jq '[.data.repository.pullRequest.reviewThreads.nodes[] | select(.isResolved == false)]')
ALL_THREADS=$(echo "$ALL_THREADS $PAGE_THREADS" | jq -s 'add')
HAS_NEXT=$(echo "$PAGE" | jq -r '.data.repository.pullRequest.reviewThreads.pageInfo.hasNextPage')
CURSOR=$(echo "$PAGE" | jq -r '.data.repository.pullRequest.reviewThreads.pageInfo.endCursor')
[ "$HAS_NEXT" = "false" ] && break
done
# Reverse so newest threads (last pages) are addressed first — GitHub returns oldest-first
# and the most recent review cycle's comments are the ones blocking approval.
ALL_THREADS=$(echo "$ALL_THREADS" | jq 'reverse')
echo "Total unresolved threads: $(echo "$ALL_THREADS" | jq 'length')"
echo "$ALL_THREADS" | jq '[.[] | {id, path, line, body: .comments.nodes[0].body[:200]}]'
```
If `pageInfo.hasNextPage` is true, fetch subsequent pages by adding `after: "<endCursor>"` to `reviewThreads(first: 100, after: "...")` and repeat until `hasNextPage` is false.
**Step 3 — Address every thread in `ALL_THREADS`, then resolve.**
Only after this loop completes (all pages fetched, count confirmed) should you begin making fixes.
> **Why reverse?** GraphQL returns threads oldest-first and exposes no `orderBy` option. A PR with 373 threads has ~4 pages; threads from the latest review cycle land on the last pages. Processing in reverse ensures the newest, most blocking comments are addressed first — the earlier pages mostly contain outdated threads from prior cycles.
**Filter to unresolved threads only** — skip any thread where `isResolved: true`. `comments(last: 1)` returns the most recent comment in the thread — act on that; it reflects the reviewer's final ask. Use the thread `id` (Relay global ID) to track threads across polls.
> If GraphQL is rate-limited, see [GitHub rate limits](#github-rate-limits) for the REST fallback (flat comment list — no thread grouping or `isResolved`).
### 2. Top-level reviews — REST (MUST paginate)
```bash
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/reviews --paginate
```
> **Already REST — unaffected by GraphQL rate limits or outages. Continue polling reviews normally even when GraphQL is exhausted.**
**CRITICAL — always `--paginate`.** Reviews default to 30 per page. PRs can have 80170+ reviews (mostly empty resolution events). Without pagination you miss reviews past position 30 — including `autogpt-reviewer`'s structured review which is typically posted after several CI runs and sits well beyond the first page.
Two things to extract:
@@ -80,20 +139,71 @@ Two things to extract:
gh api repos/Significant-Gravitas/AutoGPT/issues/{N}/comments --paginate
```
> **Already REST — unaffected by GraphQL rate limits.**
Mostly contains: bot summaries (`coderabbitai[bot]`), CI/conflict detection (`github-actions[bot]`), and author status updates. Scan for non-empty messages from non-bot human reviewers that aren't the PR author — those are the ones that need a response.
## For each unaddressed comment
Address comments **one at a time**: fix → commit → push → inline reply → next.
**CRITICAL: The only valid sequence is fix → commit → push → reply → resolve. Never resolve a thread without a real code commit.**
Resolving a thread via `resolveReviewThread` without an actual fix is the most common failure mode — it makes unresolved counts drop without any real change, producing a false "done" signal. If the issue was genuinely a false positive (no code change needed), reply explaining why and then resolve. Otherwise:
Address comments **one at a time**: fix → commit → push → inline reply → resolve.
1. Read the referenced code, make the fix (or reply explaining why it's not needed)
2. Commit and push the fix
3. Reply **inline** (not as a new top-level comment) referencing the fixing commit — this is what resolves the conversation for bot reviewers (coderabbitai, sentry):
Use a **markdown commit link** so GitHub renders it as a clickable reference. Always get the full SHA with `git rev-parse HEAD` **after** committing — never copy a SHA from a previous commit or hardcode one:
```bash
FULL_SHA=$(git rev-parse HEAD)
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments/{ID}/replies \
-f body="🤖 Fixed in [${FULL_SHA:0:9}](https://github.com/Significant-Gravitas/AutoGPT/commit/${FULL_SHA}): <description>"
```
| Comment type | How to reply |
|---|---|
| Inline review (`pulls/{N}/comments`) | `gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments/{ID}/replies -f body="🤖 Fixed in <commit-sha>: <description>"` |
| Conversation (`issues/{N}/comments`) | `gh api repos/Significant-Gravitas/AutoGPT/issues/{N}/comments -f body="🤖 Fixed in <commit-sha>: <description>"` |
| Inline review (`pulls/{N}/comments`) | `gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments/{ID}/replies -f body="🤖 Fixed in [abc1234](https://github.com/Significant-Gravitas/AutoGPT/commit/FULL_SHA): <description>"` |
| Conversation (`issues/{N}/comments`) | `gh api repos/Significant-Gravitas/AutoGPT/issues/{N}/comments -f body="🤖 Fixed in [abc1234](https://github.com/Significant-Gravitas/AutoGPT/commit/FULL_SHA): <description>"` |
### What counts as a valid resolution
Only two situations justify calling `resolveReviewThread`:
1. **Real code fix**: you changed the code, committed + pushed, and replied with the SHA. The commit diff must actually address the concern — not just touch the same file.
2. **Genuine false positive**: the reviewer's concern does not apply to this code, and you can give a specific technical reason (e.g. "Not applicable — `sdk_cwd` is pre-validated by `_make_sdk_cwd()` which applies normpath + prefix assertion before reaching this point").
**Anti-patterns that look resolved but aren't — never do these:**
- `"Accepted, tracked as follow-up"` — a deferral, not a fix. The concern is still open. Do not resolve.
- `"Acknowledged"` or `"Same as above"` — these are acknowledgements, not fixes. Do not resolve.
- `"Fixed in abc1234"` where `abc1234` is a commit that doesn't actually change the flagged line/logic — dishonest. Verify `git show abc1234 -- path/to/file` changes the right thing before posting.
- Resolving without replying — the reviewer never sees what happened.
When in doubt: if a code change is needed, make it. A deferred issue means the thread stays open until the follow-up PR is merged.
## Codecov coverage
Codecov patch target is **80%** on changed lines. Checks are **informational** (not blocking) but should be green.
### Running coverage locally
**Backend** (from `autogpt_platform/backend/`):
```bash
poetry run pytest -s -vv --cov=backend --cov-branch --cov-report term-missing
```
**Frontend** (from `autogpt_platform/frontend/`):
```bash
pnpm vitest run --coverage
```
### When codecov/patch fails
1. Find uncovered files: `git diff --name-only $(gh pr view --json baseRefName --jq '.baseRefName')...HEAD`
2. For each uncovered file — extract inline logic to `helpers.ts`/`helpers.py` and test those (highest ROI). Colocate tests as `*_test.py` (backend) or `__tests__/*.test.ts` (frontend).
3. Run coverage locally to verify, commit, push.
## Format and commit
@@ -119,6 +229,22 @@ Then commit and **push immediately** — never batch commits without pushing. Ea
For backend commits in worktrees: `poetry run git commit` (pre-commit hooks).
## Coverage
Codecov enforces patch coverage on new/changed lines — new code you write must be tested. Before pushing, verify you haven't left new lines uncovered:
```bash
cd autogpt_platform/backend
poetry run pytest --cov=. --cov-report=term-missing {path/to/changed/module}
```
Look for lines marked `miss` — those are uncovered. Add tests for any new code you wrote as part of addressing comments.
**Rules:**
- New code you add should have tests
- Don't remove existing tests when fixing comments
- If a reviewer asks you to delete code, also delete its tests, but verify coverage hasn't dropped on remaining lines
## The loop
```text
@@ -208,3 +334,162 @@ git push
```
5. Restart the polling loop from the top — new commits reset CI status.
## GitHub rate limits
Three distinct rate limits exist — they have different causes, error shapes, and recovery times:
| Error | HTTP code | Cause | Recovery |
|---|---|---|---|
| `{"code":"abuse"}` | 403 | Secondary rate limit — too many write operations (comments, mutations) in a short window | Wait **23 minutes**. 60s is often not enough. |
| `{"message":"API rate limit exceeded"}` | 429 | Primary REST rate limit — 5000 calls/hr per user | Wait until `X-RateLimit-Reset` header timestamp |
| `GraphQL: API rate limit already exceeded for user ID ...` | 403 on stderr, `gh` exits 1 | **GraphQL-specific** per-user limit — distinct from REST's 5000/hr and from the abuse secondary limit. Trips faster than REST because point costs per query. | Wait until the GraphQL window resets (typically ~1 hour from the first call in the window). REST still works — use fallbacks below. |
**Prevention:** Add `sleep 3` between individual thread reply API calls. When posting >20 replies, increase to `sleep 5`.
### Detection
The `gh` CLI surfaces the GraphQL limit on stderr with the exact string `GraphQL: API rate limit already exceeded for user ID <id>` and exits 1 — any `gh api graphql ...` **or** `gh pr view ...` call fails. Check current quota and reset time via the REST endpoint that reports GraphQL quota (this call is REST and still works whether GraphQL is rate-limited OR fully down):
```bash
gh api rate_limit --jq '.resources.graphql' # { "limit": 5000, "used": 5000, "remaining": 0, "reset": 1729...}
# Human-readable reset:
gh api rate_limit --jq '.resources.graphql.reset' | xargs -I{} date -r {}
```
Retry when `remaining > 0`. If you need to proceed sooner, sleep 25 min and probe again — the limit is per user, not per machine, so other concurrent agents under the same token also consume it.
### What keeps working
When GraphQL is unavailable (rate-limited or outage):
- **Keeps working (REST):** top-level reviews fetch, conversation comments fetch, all inline-comment replies, CI status (`gh pr checks`), and the `gh api rate_limit` probe.
- **Degraded:** inline thread list — fall back to flat `/pulls/{N}/comments` REST, which drops thread grouping, `isResolved`, and Relay thread IDs. You still get comment bodies and the `databaseId` as `id`, enough to read and reply.
- **Blocked:** `gh pr view`, the `resolveReviewThread` mutation, and any new `gh api graphql` queries — wait for the quota to reset.
### Fall back to REST
**PR metadata reads** — `gh pr view` uses GraphQL under the hood; use the REST pulls endpoint instead, which returns the full PR object:
```bash
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N} --jq '.body' # == --json body
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N} --jq '.base.ref' # == --json baseRefName
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N} --jq '.mergeable' # == --json mergeable
```
Note: REST `mergeable` returns `true|false|null`; GraphQL returns `MERGEABLE|CONFLICTING|UNKNOWN`. The `null` case maps to `UNKNOWN` — treat it the same (still computing; poll again).
**Inline comments (flat list)** — no thread grouping or `isResolved`, but enough to read and reply:
```bash
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments --paginate \
| jq '[.[] | {id, path, line, user: .user.login, body: .body[:200], in_reply_to_id}]'
```
Use this degraded mode to make progress on the fix → reply loop, then return to GraphQL for `resolveReviewThread` once the rate limit resets.
**Replies** — already REST-native (`/pulls/{N}/comments/{ID}/replies`); no change needed, use the same command as the main flow.
**`resolveReviewThread`** — **no REST equivalent**; GitHub does not expose a REST endpoint for thread resolution. Queue the thread IDs needing resolution, wait for the GraphQL limit to reset, then run the resolve mutations in a batch (with `sleep 3` between calls, per the secondary-limit guidance).
### Recovery from secondary rate limit (403 abuse)
1. Stop all API writes immediately
2. Wait **2 minutes minimum** (not 60s — secondary limits are stricter)
3. Resume with `sleep 3` between each call
4. If 403 persists after 2 min, wait another 2 min before retrying
Never batch all replies in a tight loop — always space them out.
## Parallel thread resolution
When a PR has more than 10 unresolved threads, addressing one commit per thread is slow. Use this strategy instead:
### Group by file, batch per commit
1. Sort `ALL_THREADS` by `path` — threads in the same file can share a single commit.
2. Fix all threads in one file → `git commit` → `git push` → reply to **all** those threads with the same SHA → resolve them all.
3. Move to the next file group and repeat.
This reduces N commits to (number of files touched), which is usually 35 instead of 1530.
### Posting replies concurrently (for large batches)
For truly independent thread groups (different files, no shared logic), you can post replies in parallel using background subshells — but always space out API writes:
```bash
# Post replies to a batch of threads concurrently, 3s apart
(
sleep 3
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments/{ID1}/replies \
-f body="🤖 Fixed in [${FULL_SHA:0:9}](https://github.com/Significant-Gravitas/AutoGPT/commit/${FULL_SHA}): ..."
) &
(
sleep 6
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments/{ID2}/replies \
-f body="🤖 Fixed in [${FULL_SHA:0:9}](https://github.com/Significant-Gravitas/AutoGPT/commit/${FULL_SHA}): ..."
) &
wait # wait for all background replies before resolving
```
Then resolve sequentially (GraphQL mutations):
```bash
for THREAD_ID in "$THREAD1" "$THREAD2" "$THREAD3"; do
gh api graphql -f query="mutation { resolveReviewThread(input: {threadId: \"${THREAD_ID}\"}) { thread { isResolved } } }"
sleep 3
done
```
**Always sleep 3s between individual API writes** — GitHub's secondary rate limit (403) triggers on bursts of >20 writes. Increase to `sleep 5` when posting more than 20 replies in a batch.
## Resolving threads via GraphQL
Use `resolveReviewThread` **only after** the commit is pushed and the reply is posted:
```bash
gh api graphql -f query='mutation { resolveReviewThread(input: {threadId: "THREAD_ID"}) { thread { isResolved } } }'
```
**Never call this mutation before committing the fix.** The orchestrator will verify actual unresolved counts via GraphQL after you output `ORCHESTRATOR:DONE` — false resolutions will be caught and you will be re-briefed.
> `resolveReviewThread` is GraphQL-only — no REST equivalent. If GraphQL is rate-limited, see [GitHub rate limits](#github-rate-limits) for the queue-and-retry flow.
### Verify actual count before outputting ORCHESTRATOR:DONE
Before claiming "0 unresolved threads", always query GitHub directly — don't rely on your own bookkeeping. Paginate all pages — a single `first: 100` query misses threads beyond page 1:
```bash
# Step 1: get total thread count
gh api graphql -f query='
{
repository(owner: "Significant-Gravitas", name: "AutoGPT") {
pullRequest(number: {N}) {
reviewThreads { totalCount }
}
}
}' | jq '.data.repository.pullRequest.reviewThreads.totalCount'
# Step 2: paginate all pages, count truly unresolved
CURSOR=""; UNRESOLVED=0
while true; do
AFTER=${CURSOR:+", after: \"$CURSOR\""}
PAGE=$(gh api graphql -f query="
{
repository(owner: \"Significant-Gravitas\", name: \"AutoGPT\") {
pullRequest(number: {N}) {
reviewThreads(first: 100${AFTER}) {
pageInfo { hasNextPage endCursor }
nodes { isResolved }
}
}
}
}")
UNRESOLVED=$(( UNRESOLVED + $(echo "$PAGE" | jq '[.data.repository.pullRequest.reviewThreads.nodes[] | select(.isResolved==false)] | length') ))
HAS_NEXT=$(echo "$PAGE" | jq -r '.data.repository.pullRequest.reviewThreads.pageInfo.hasNextPage')
CURSOR=$(echo "$PAGE" | jq -r '.data.repository.pullRequest.reviewThreads.pageInfo.endCursor')
[ "$HAS_NEXT" = "false" ] && break
done
echo "Unresolved threads: $UNRESOLVED"
```
Only output `ORCHESTRATOR:DONE` after this loop reports 0.

View File

@@ -5,7 +5,7 @@ user-invocable: true
argument-hint: "[worktree path or PR number] — tests the PR in the given worktree. Optional flags: --fix (auto-fix issues found)"
metadata:
author: autogpt-team
version: "2.0.0"
version: "2.1.0"
---
# Manual E2E Test
@@ -180,6 +180,94 @@ Based on the PR analysis, write a test plan to `$RESULTS_DIR/test-plan.md`:
**Be critical** — include edge cases, error paths, and security checks. Every scenario MUST specify what screenshots to take and what state to verify.
## Step 3.0: Claim the testing lock (coordinate parallel agents)
Multiple worktrees share the same host — Docker infra (postgres, redis, clamav), app ports (3000/8006/…), and the test user. Two agents running `/pr-test` concurrently will corrupt each other's state (connection-pool exhaustion, port binds failing silently, cross-test assertions). Use the root-worktree lock file to take turns.
### Lock file contract
Path (**always** the root worktree so all siblings see it): `/Users/majdyz/Code/AutoGPT/.ign.testing.lock`
Body (one `key=value` per line):
```
holder=<pr-XXXXX-purpose>
pid=<pid-or-"self">
started=<iso8601>
heartbeat=<iso8601, updated every ~2 min>
worktree=<full path>
branch=<branch name>
intent=<one-line description + rough duration>
```
### Claim
```bash
LOCK=/Users/majdyz/Code/AutoGPT/.ign.testing.lock
NOW=$(date -u +%Y-%m-%dT%H:%MZ)
STALE_AFTER_MIN=5
if [ -f "$LOCK" ]; then
HB=$(grep '^heartbeat=' "$LOCK" | cut -d= -f2)
HB_EPOCH=$(date -j -f '%Y-%m-%dT%H:%MZ' "$HB" +%s 2>/dev/null || date -d "$HB" +%s 2>/dev/null || echo 0)
AGE_MIN=$(( ( $(date -u +%s) - HB_EPOCH ) / 60 ))
if [ "$AGE_MIN" -gt "$STALE_AFTER_MIN" ]; then
echo "WARN: stale lock (${AGE_MIN}m old) — reclaiming"
cat "$LOCK" | sed 's/^/ stale: /'
else
echo "Another agent holds the lock:"; cat "$LOCK"
echo "Wait until released or resume after $((STALE_AFTER_MIN - AGE_MIN))m."
exit 1
fi
fi
cat > "$LOCK" <<EOF
holder=pr-${PR_NUMBER}-e2e
pid=self
started=$NOW
heartbeat=$NOW
worktree=$WORKTREE_PATH
branch=$(cd $WORKTREE_PATH && git branch --show-current)
intent=E2E test PR #${PR_NUMBER}, native mode, ~60min
EOF
echo "Lock claimed"
```
### Heartbeat (MUST run in background during the whole test)
Without a heartbeat a crashed agent keeps the lock forever. Run this as a background process right after claim:
```bash
(while true; do
sleep 120
[ -f "$LOCK" ] || exit 0 # lock released → exit heartbeat
perl -i -pe "s/^heartbeat=.*/heartbeat=$(date -u +%Y-%m-%dT%H:%MZ)/" "$LOCK"
done) &
HEARTBEAT_PID=$!
echo "$HEARTBEAT_PID" > /tmp/pr-test-heartbeat.pid
```
### Release (always — even on failure)
```bash
kill "$HEARTBEAT_PID" 2>/dev/null
rm -f "$LOCK" /tmp/pr-test-heartbeat.pid
echo "$(date -u +%Y-%m-%dT%H:%MZ) [pr-${PR_NUMBER}] released lock" \
>> /Users/majdyz/Code/AutoGPT/.ign.testing.log
```
Use a `trap` so release runs even on `exit 1`:
```bash
trap 'kill "$HEARTBEAT_PID" 2>/dev/null; rm -f "$LOCK"' EXIT INT TERM
```
### Shared status log
`/Users/majdyz/Code/AutoGPT/.ign.testing.log` is an append-only channel any agent can read/write. Use it for "I'm waiting", "I'm done, resources free", or post-run notes:
```bash
echo "$(date -u +%Y-%m-%dT%H:%MZ) [pr-${PR_NUMBER}] <message>" \
>> /Users/majdyz/Code/AutoGPT/.ign.testing.log
```
## Step 3: Environment setup
### 3a. Copy .env files from the root worktree
@@ -248,7 +336,87 @@ docker ps --format "{{.Names}}" | grep -E "rest_server|executor|copilot|websocke
done
```
### 3e. Build and start
**Native mode also:** when running the app natively (see 3e-native), kill any stray host processes and free the app ports before starting — otherwise `poetry run app` and `pnpm dev` will fail to bind.
```bash
# Kill stray native app processes from prior runs
pkill -9 -f "python.*backend" 2>/dev/null || true
pkill -9 -f "poetry run app" 2>/dev/null || true
pkill -9 -f "next-server|next dev" 2>/dev/null || true
# Free app ports (errors per port are ignored — port may simply be unused)
for port in 3000 8006 8001 8002 8005 8008; do
lsof -ti :$port -sTCP:LISTEN | xargs -r kill -9 2>/dev/null || true
done
```
### 3e-native. Run the app natively (PREFERRED for iterative dev)
Native mode runs infra (postgres, supabase, redis, rabbitmq, clamav) in docker but runs the backend and frontend directly on the host. This avoids the 3-8 minute `docker compose build` cycle on every backend change — code edits are picked up on process restart (seconds) instead of a full image rebuild.
**When to prefer native mode (default for this skill):**
- Iterative dev/debug loops where you're editing backend or frontend code between test runs
- Any PR that touches Python/TS source but not Dockerfiles, compose config, or infra images
- Fast repro of a failing scenario — restart `poetry run app` in a couple of seconds
**When to prefer docker mode (3e fallback):**
- Testing changes to `Dockerfile`, `docker-compose.yml`, or base images
- Production-parity smoke tests (exact container env, networking, volumes)
- CI-equivalent runs where you need the exact image that'll ship
**Note on 3b (copilot auth):** no npm install anywhere. `poetry install` pulls in `claude_agent_sdk`, which ships its own Claude CLI binary — available on `PATH` whenever you run commands via `poetry run` (native) OR whenever the copilot_executor container is built from its Poetry lockfile (docker). The OAuth token extraction still applies (same `refresh_claude_token.sh` call).
**Preamble:** before starting native, run the kill-stray + free-ports block from 3c's "Native mode also" subsection.
**1. Start infra only (one-time per session):**
```bash
cd $PLATFORM_DIR && docker compose --profile local up deps --detach --remove-orphans --build
```
This brings up postgres/supabase/redis/rabbitmq/clamav and skips all app services.
**2. Start the backend natively:**
```bash
cd $BACKEND_DIR && (poetry run app 2>&1 | tee .ign.application.logs) &
```
`poetry run app` spawns **all** app subprocesses — `rest_server`, `executor`, `copilot_executor`, `websocket`, `scheduler`, `notification_server`, `database_manager` — inside ONE parent process. No separate containers, no separate terminals. The `.ign.application.logs` prefix is already gitignored.
**3. Wait for the backend on :8006 BEFORE starting the frontend.** This ordering matters — the frontend's `pnpm dev` startup invokes `generate-api-queries`, which fetches `/openapi.json` from the backend. If the backend isn't listening yet, `pnpm dev` fails immediately.
```bash
for i in $(seq 1 60); do
if [ "$(curl -s -o /dev/null -w '%{http_code}' http://localhost:8006/docs 2>/dev/null)" = "200" ]; then
echo "Backend ready"
break
fi
sleep 2
done
```
**4. Start the frontend natively:**
```bash
cd $FRONTEND_DIR && (pnpm dev 2>&1 | tee .ign.frontend.logs) &
```
**5. Wait for the frontend on :3000:**
```bash
for i in $(seq 1 60); do
if [ "$(curl -s -o /dev/null -w '%{http_code}' http://localhost:3000 2>/dev/null)" = "200" ]; then
echo "Frontend ready"
break
fi
sleep 2
done
```
Once both are up, skip 3e/3f and go straight to **3g/3h** (feature flags / test user creation).
### 3e. Build and start (docker — fallback)
```bash
cd $PLATFORM_DIR && docker compose build --no-cache 2>&1 | tail -20
@@ -310,6 +478,28 @@ TOKEN=$(curl -s -X POST 'http://localhost:8000/auth/v1/token?grant_type=password
curl -H "Authorization: Bearer $TOKEN" http://localhost:8006/api/...
```
### 3i. Disable onboarding for test user
The frontend redirects to `/onboarding` when the `VISIT_COPILOT` step is not in `completedSteps`.
Mark it complete via the backend API so every browser test lands on the real feature UI:
```bash
ONBOARDING_RESULT=$(curl -s --max-time 30 -X POST \
"http://localhost:8006/api/onboarding/step?step=VISIT_COPILOT" \
-H "Authorization: Bearer $TOKEN")
echo "Onboarding bypass: $ONBOARDING_RESULT"
# Verify it took effect
ONBOARDING_STATUS=$(curl -s --max-time 30 \
"http://localhost:8006/api/onboarding/completed" \
-H "Authorization: Bearer $TOKEN" | jq -r '.is_completed')
echo "Onboarding completed: $ONBOARDING_STATUS"
if [ "$ONBOARDING_STATUS" != "true" ]; then
echo "ERROR: onboarding bypass failed — browser tests will hit /onboarding instead of the target feature. Investigate before proceeding."
exit 1
fi
```
## Step 4: Run tests
### Service ports reference
@@ -420,6 +610,22 @@ agent-browser --session-name pr-test snapshot | grep "text:"
### Checking logs
**Native mode:** when running via `poetry run app` + `pnpm dev`, all app logs stream to the `.ign.*.logs` files written by the `tee` pipes in 3e-native. `rest_server`, `executor`, `copilot_executor`, `websocket`, `scheduler`, `notification_server`, and `database_manager` are all subprocesses of the single `poetry run app` parent, so their output is interleaved in `.ign.application.logs`.
```bash
# Backend (all app subprocesses interleaved)
tail -f $BACKEND_DIR/.ign.application.logs
# Frontend (Next.js dev server)
tail -f $FRONTEND_DIR/.ign.frontend.logs
# Filter for errors across either log
grep -iE "error|exception|traceback" $BACKEND_DIR/.ign.application.logs | tail -20
grep -iE "error|exception|traceback" $FRONTEND_DIR/.ign.frontend.logs | tail -20
```
**Docker mode:**
```bash
# Backend REST server
docker logs autogpt_platform-rest_server-1 2>&1 | tail -30
@@ -547,6 +753,8 @@ Upload screenshots to the PR using the GitHub Git API (no local git operations
**This step is MANDATORY. Every test run MUST post a PR comment with screenshots. No exceptions.**
**CRITICAL — NEVER post a bare directory link like `https://github.com/.../tree/...`.** Every screenshot MUST appear as `![name](raw_url)` inline in the PR comment so reviewers can see them without clicking any links. After posting, the verification step below greps the comment for `![` tags and exits 1 if none are found — the test run is considered incomplete until this passes.
```bash
# Upload screenshots via GitHub Git API (creates blobs, tree, commit, and ref remotely)
REPO="Significant-Gravitas/AutoGPT"
@@ -584,15 +792,27 @@ TREE_JSON+=']'
# Step 2: Create tree, commit, and branch ref
TREE_SHA=$(echo "$TREE_JSON" | jq -c '{tree: .}' | gh api "repos/${REPO}/git/trees" --input - --jq '.sha')
COMMIT_SHA=$(gh api "repos/${REPO}/git/commits" \
-f message="test: add E2E test screenshots for PR #${PR_NUMBER}" \
-f tree="$TREE_SHA" \
--jq '.sha')
# Resolve parent commit so screenshots are chained, not orphan root commits
PARENT_SHA=$(gh api "repos/${REPO}/git/refs/heads/${SCREENSHOTS_BRANCH}" --jq '.object.sha' 2>/dev/null || echo "")
if [ -n "$PARENT_SHA" ]; then
COMMIT_SHA=$(gh api "repos/${REPO}/git/commits" \
-f message="test: add E2E test screenshots for PR #${PR_NUMBER}" \
-f tree="$TREE_SHA" \
-f "parents[]=$PARENT_SHA" \
--jq '.sha')
else
COMMIT_SHA=$(gh api "repos/${REPO}/git/commits" \
-f message="test: add E2E test screenshots for PR #${PR_NUMBER}" \
-f tree="$TREE_SHA" \
--jq '.sha')
fi
gh api "repos/${REPO}/git/refs" \
-f ref="refs/heads/${SCREENSHOTS_BRANCH}" \
-f sha="$COMMIT_SHA" 2>/dev/null \
|| gh api "repos/${REPO}/git/refs/heads/${SCREENSHOTS_BRANCH}" \
-X PATCH -f sha="$COMMIT_SHA" -f force=true
-X PATCH -f sha="$COMMIT_SHA" -F force=true
```
Then post the comment with **inline images AND explanations for each screenshot**:
@@ -658,6 +878,15 @@ INNEREOF
gh api "repos/${REPO}/issues/$PR_NUMBER/comments" -F body=@"$COMMENT_FILE"
rm -f "$COMMENT_FILE"
# Verify the posted comment contains inline images — exit 1 if none found
# Use separate --paginate + jq pipe: --jq applies per-page, not to the full list
LAST_COMMENT=$(gh api "repos/${REPO}/issues/$PR_NUMBER/comments" --paginate 2>/dev/null | jq -r '.[-1].body // ""')
if ! echo "$LAST_COMMENT" | grep -q '!\['; then
echo "ERROR: Posted comment contains no inline images (![). Bare directory links are not acceptable." >&2
exit 1
fi
echo "✓ Inline images verified in posted comment"
```
**The PR comment MUST include:**
@@ -667,6 +896,103 @@ rm -f "$COMMENT_FILE"
This approach uses the GitHub Git API to create blobs, trees, commits, and refs entirely server-side. No local `git checkout` or `git push` — safe for worktrees and won't interfere with the PR branch.
## Step 8: Evaluate and post a formal PR review
After the test comment is posted, evaluate whether the run was thorough enough to make a merge decision, then post a formal GitHub review (approve or request changes). **This step is mandatory — every test run MUST end with a formal review decision.**
### Evaluation criteria
Re-read the PR description:
```bash
gh pr view "$PR_NUMBER" --json body --jq '.body' --repo "$REPO"
```
Score the run against each criterion:
| Criterion | Pass condition |
|-----------|---------------|
| **Coverage** | Every feature/change described in the PR has at least one test scenario |
| **All scenarios pass** | No FAIL rows in the results table |
| **Negative tests** | At least one failure-path test per feature (invalid input, unauthorized, edge case) |
| **Before/after evidence** | Every state-changing API call has before/after values logged |
| **Screenshots are meaningful** | Screenshots show the actual state change, not just a loading spinner or blank page |
| **No regressions** | Existing core flows (login, agent create/run) still work |
### Decision logic
```
ALL criteria pass → APPROVE
Any scenario FAIL or missing PR feature → REQUEST_CHANGES (list gaps)
Evidence weak (no before/after, vague shots) → REQUEST_CHANGES (list what's missing)
```
### Post the review
```bash
REVIEW_FILE=$(mktemp)
# Count results
PASS_COUNT=$(echo "$TEST_RESULTS_TABLE" | grep -c "PASS" || true)
FAIL_COUNT=$(echo "$TEST_RESULTS_TABLE" | grep -c "FAIL" || true)
TOTAL=$(( PASS_COUNT + FAIL_COUNT ))
# List any coverage gaps found during evaluation (populate this array as you assess)
# e.g. COVERAGE_GAPS=("PR claims to add X but no test covers it")
COVERAGE_GAPS=()
```
**If APPROVING** — all criteria met, zero failures, full coverage:
```bash
cat > "$REVIEW_FILE" <<REVIEWEOF
## E2E Test Evaluation — APPROVED
**Results:** ${PASS_COUNT}/${TOTAL} scenarios passed.
**Coverage:** All features described in the PR were exercised.
**Evidence:** Before/after API values logged for all state-changing operations; screenshots show meaningful state transitions.
**Negative tests:** Failure paths tested for each feature.
No regressions observed on core flows.
REVIEWEOF
gh pr review "$PR_NUMBER" --repo "$REPO" --approve --body "$(cat "$REVIEW_FILE")"
echo "✅ PR approved"
```
**If REQUESTING CHANGES** — any failure, coverage gap, or missing evidence:
```bash
FAIL_LIST=$(echo "$TEST_RESULTS_TABLE" | grep "FAIL" | awk -F'|' '{print "- Scenario" $2 "failed"}' || true)
cat > "$REVIEW_FILE" <<REVIEWEOF
## E2E Test Evaluation — Changes Requested
**Results:** ${PASS_COUNT}/${TOTAL} scenarios passed, ${FAIL_COUNT} failed.
### Required before merge
${FAIL_LIST}
$(for gap in "${COVERAGE_GAPS[@]}"; do echo "- $gap"; done)
Please fix the above and re-run the E2E tests.
REVIEWEOF
gh pr review "$PR_NUMBER" --repo "$REPO" --request-changes --body "$(cat "$REVIEW_FILE")"
echo "❌ Changes requested"
```
```bash
rm -f "$REVIEW_FILE"
```
**Rules:**
- In `--fix` mode, fix all failures before posting the review — the review reflects the final state after fixes
- Never approve if any scenario failed, even if it seems like a flake — rerun that scenario first
- Never request changes for issues already fixed in this run
## Fix mode (--fix flag)
When `--fix` is present, the standard is HIGHER. Do not just note issues — FIX them immediately.
@@ -734,9 +1060,15 @@ test scenario → find issue (bug OR UX problem) → screenshot broken state
### Problem: Frontend shows cookie banner blocking interaction
**Fix:** `agent-browser click 'text=Accept All'` before other interactions.
### Problem: Container loses npm packages after rebuild
**Cause:** `docker compose up --build` rebuilds the image, losing runtime installs.
**Fix:** Add packages to the Dockerfile instead of installing at runtime.
### Problem: Claude CLI not found in copilot_executor container
**Symptom:** Copilot logs say `claude: command not found` or similar when starting an SDK turn.
**Cause:** Image was built without `poetry install` (stale base layer, or Dockerfile bypass). The SDK CLI ships inside the `claude_agent_sdk` Poetry dep — it is NOT an npm package.
**Fix:** Rebuild the image cleanly: `docker compose build --no-cache copilot_executor && docker compose up -d copilot_executor`. Do NOT `docker exec ... npm install -g @anthropic-ai/claude-code` — that is outdated guidance and will pollute the container with a second CLI that the SDK won't use.
### Problem: agent-browser screenshot hangs / times out
**Symptom:** `agent-browser screenshot` exits with code 124 even on `about:blank`.
**Cause:** Stuck CDP connection or Chromium process tree. Seen on macOS when a prior `/pr-test` left a zombie Chrome for Testing.
**Fix:** `pkill -9 -f "agent-browser|chromium|Chrome for Testing" && sleep 2`, then reopen the browser with a fresh `--session-name`. If still failing, verify via `agent-browser eval` + `agent-browser snapshot` (DOM state) instead of relying on PNGs — the feature under test is the same.
### Problem: Services not starting after `docker compose up`
**Fix:** Wait and check health: `docker compose ps`. Common cause: migration hasn't finished. Check: `docker logs autogpt_platform-migrate-1 2>&1 | tail -5`. If supabase-db isn't healthy: `docker restart supabase-db && sleep 10`.

View File

@@ -0,0 +1,225 @@
---
name: write-frontend-tests
description: "Analyze the current branch diff against dev, plan integration tests for changed frontend pages/components, and write them. TRIGGER when user asks to write frontend tests, add test coverage, or 'write tests for my changes'."
user-invocable: true
args: "[base branch] — defaults to dev. Optionally pass a specific base branch to diff against."
metadata:
author: autogpt-team
version: "1.0.0"
---
# Write Frontend Tests
Analyze the current branch's frontend changes, plan integration tests, and write them.
## References
Before writing any tests, read the testing rules and conventions:
- `autogpt_platform/frontend/TESTING.md` — testing strategy, file locations, examples
- `autogpt_platform/frontend/src/tests/AGENTS.md` — detailed testing rules, MSW patterns, decision flowchart
- `autogpt_platform/frontend/src/tests/integrations/test-utils.tsx` — custom render with providers
- `autogpt_platform/frontend/src/tests/integrations/vitest.setup.tsx` — MSW server setup
## Step 1: Identify changed frontend files
```bash
BASE_BRANCH="${ARGUMENTS:-dev}"
cd autogpt_platform/frontend
# Get changed frontend files (excluding generated, config, and test files)
git diff "$BASE_BRANCH"...HEAD --name-only -- src/ \
| grep -v '__generated__' \
| grep -v '__tests__' \
| grep -v '\.test\.' \
| grep -v '\.stories\.' \
| grep -v '\.spec\.'
```
Also read the diff to understand what changed:
```bash
git diff "$BASE_BRANCH"...HEAD --stat -- src/
git diff "$BASE_BRANCH"...HEAD -- src/ | head -500
```
## Step 2: Categorize changes and find test targets
For each changed file, determine:
1. **Is it a page?** (`page.tsx`) — these are the primary test targets
2. **Is it a hook?** (`use*.ts`) — test via the page/component that uses it; avoid direct `renderHook()` tests unless it is a shared reusable hook with standalone business logic
3. **Is it a component?** (`.tsx` in `components/`) — test via the parent page unless it's complex enough to warrant isolation
4. **Is it a helper?** (`helpers.ts`, `utils.ts`) — unit test directly if pure logic
**Priority order:**
1. Pages with new/changed data fetching or user interactions
2. Components with complex internal logic (modals, forms, wizards)
3. Shared hooks with standalone business logic when UI-level coverage is impractical
4. Pure helper functions
Skip: styling-only changes, type-only changes, config changes.
## Step 3: Check for existing tests
For each test target, check if tests already exist:
```bash
# For a page at src/app/(platform)/library/page.tsx
ls src/app/\(platform\)/library/__tests__/ 2>/dev/null
# For a component at src/app/(platform)/library/components/AgentCard/AgentCard.tsx
ls src/app/\(platform\)/library/components/AgentCard/__tests__/ 2>/dev/null
```
Note which targets have no tests (need new files) vs which have tests that need updating.
## Step 4: Identify API endpoints used
For each test target, find which API hooks are used:
```bash
# Find generated API hook imports in the changed files
grep -rn 'from.*__generated__/endpoints' src/app/\(platform\)/library/
grep -rn 'use[A-Z].*V[12]' src/app/\(platform\)/library/
```
For each API hook found, locate the corresponding MSW handler:
```bash
# If the page uses useGetV2ListLibraryAgents, find its MSW handlers
grep -rn 'getGetV2ListLibraryAgents.*Handler' src/app/api/__generated__/endpoints/library/library.msw.ts
```
List every MSW handler you will need (200 for happy path, 4xx for error paths).
## Step 5: Write the test plan
Before writing code, output a plan as a numbered list:
```
Test plan for [branch name]:
1. src/app/(platform)/library/__tests__/main.test.tsx (NEW)
- Renders page with agent list (MSW 200)
- Shows loading state
- Shows error state (MSW 422)
- Handles empty agent list
2. src/app/(platform)/library/__tests__/search.test.tsx (NEW)
- Filters agents by search query
- Shows no results message
- Clears search
3. src/app/(platform)/library/components/AgentCard/__tests__/AgentCard.test.tsx (UPDATE)
- Add test for new "duplicate" action
```
Present this plan to the user. Wait for confirmation before proceeding. If the user has feedback, adjust the plan.
## Step 6: Write the tests
For each test file in the plan, follow these conventions:
### File structure
```tsx
import { render, screen, waitFor } from "@/tests/integrations/test-utils";
import { server } from "@/mocks/mock-server";
// Import MSW handlers for endpoints the page uses
import {
getGetV2ListLibraryAgentsMockHandler200,
getGetV2ListLibraryAgentsMockHandler422,
} from "@/app/api/__generated__/endpoints/library/library.msw";
// Import the component under test
import LibraryPage from "../page";
describe("LibraryPage", () => {
test("renders agent list from API", async () => {
server.use(getGetV2ListLibraryAgentsMockHandler200());
render(<LibraryPage />);
expect(await screen.findByText(/my agents/i)).toBeDefined();
});
test("shows error state on API failure", async () => {
server.use(getGetV2ListLibraryAgentsMockHandler422());
render(<LibraryPage />);
expect(await screen.findByText(/error/i)).toBeDefined();
});
});
```
### Rules
- Use `render()` from `@/tests/integrations/test-utils` (NOT from `@testing-library/react` directly)
- Use `server.use()` to set up MSW handlers BEFORE rendering
- Use `findBy*` (async) for elements that appear after data fetching — NOT `getBy*`
- Use `getBy*` only for elements that are immediately present in the DOM
- Use `screen` queries — do NOT destructure from `render()`
- Use `waitFor` when asserting side effects or state changes after interactions
- Import `fireEvent` or `userEvent` from the test-utils for interactions
- Do NOT mock internal hooks or functions — mock at the API boundary via MSW
- Prefer Orval-generated MSW handlers and response builders over hand-built API response objects
- Do NOT use `act()` manually — `render` and `fireEvent` handle it
- Keep tests focused: one behavior per test
- Use descriptive test names that read like sentences
### Test location
```
# For pages: __tests__/ next to page.tsx
src/app/(platform)/library/__tests__/main.test.tsx
# For complex standalone components: __tests__/ inside component folder
src/app/(platform)/library/components/AgentCard/__tests__/AgentCard.test.tsx
# For pure helpers: co-located .test.ts
src/app/(platform)/library/helpers.test.ts
```
### Custom MSW overrides
When the auto-generated faker data is not enough, override with specific data:
```tsx
import { http, HttpResponse } from "msw";
server.use(
http.get("http://localhost:3000/api/proxy/api/v2/library/agents", () => {
return HttpResponse.json({
agents: [{ id: "1", name: "Test Agent", description: "A test agent" }],
pagination: { total_items: 1, total_pages: 1, page: 1, page_size: 10 },
});
}),
);
```
Use the proxy URL pattern: `http://localhost:3000/api/proxy/api/v{version}/{path}` — this matches the MSW base URL configured in `orval.config.ts`.
## Step 7: Run and verify
After writing all tests:
```bash
cd autogpt_platform/frontend
pnpm test:unit --reporter=verbose
```
If tests fail:
1. Read the error output carefully
2. Fix the test (not the source code, unless there is a genuine bug)
3. Re-run until all pass
Then run the full checks:
```bash
pnpm format
pnpm lint
pnpm types
```

View File

@@ -160,6 +160,7 @@ jobs:
run: |
cp ../backend/.env.default ../backend/.env
echo "OPENAI_INTERNAL_API_KEY=${{ secrets.OPENAI_API_KEY }}" >> ../backend/.env
echo "SCHEDULER_STARTUP_EMBEDDING_BACKFILL=false" >> ../backend/.env
env:
# Used by E2E test data script to generate embeddings for approved store agents
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
@@ -179,21 +180,30 @@ jobs:
pip install pyyaml
# Resolve extends and generate a flat compose file that bake can understand
export NEXT_PUBLIC_SOURCEMAPS NEXT_PUBLIC_PW_TEST
docker compose -f docker-compose.yml config > docker-compose.resolved.yml
# Ensure NEXT_PUBLIC_SOURCEMAPS is in resolved compose
# (docker compose config on some versions drops this arg)
if ! grep -q "NEXT_PUBLIC_SOURCEMAPS" docker-compose.resolved.yml; then
echo "Injecting NEXT_PUBLIC_SOURCEMAPS into resolved compose (docker compose config dropped it)"
sed -i '/NEXT_PUBLIC_PW_TEST/a\ NEXT_PUBLIC_SOURCEMAPS: "true"' docker-compose.resolved.yml
fi
# Add cache configuration to the resolved compose file
python ../.github/workflows/scripts/docker-ci-fix-compose-build-cache.py \
--source docker-compose.resolved.yml \
--cache-from "type=gha" \
--cache-to "type=gha,mode=max" \
--backend-hash "${{ hashFiles('autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/poetry.lock', 'autogpt_platform/backend/backend/**') }}" \
--frontend-hash "${{ hashFiles('autogpt_platform/frontend/Dockerfile', 'autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/src/**') }}" \
--frontend-hash "${{ hashFiles('autogpt_platform/frontend/Dockerfile', 'autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/src/**') }}-sourcemaps" \
--git-ref "${{ github.ref }}"
# Build with bake using the resolved compose file (now includes cache config)
docker buildx bake --allow=fs.read=.. -f docker-compose.resolved.yml --load
env:
NEXT_PUBLIC_PW_TEST: true
NEXT_PUBLIC_SOURCEMAPS: true
- name: Set up tests - Cache E2E test data
id: e2e-data-cache
@@ -279,16 +289,38 @@ jobs:
cache: "pnpm"
cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
- name: Set up tests - Cache Playwright browsers
uses: actions/cache@v5
with:
path: ~/.cache/ms-playwright
key: playwright-${{ runner.os }}-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
restore-keys: |
playwright-${{ runner.os }}-
- name: Copy source maps from Docker for E2E coverage
run: |
FRONTEND_CONTAINER=$(docker compose -f ../docker-compose.resolved.yml ps -q frontend)
docker cp "$FRONTEND_CONTAINER":/app/.next/static .next-static-coverage
- name: Set up tests - Install dependencies
run: pnpm install --frozen-lockfile
- name: Set up tests - Install browser 'chromium'
run: pnpm playwright install --with-deps chromium
- name: Run Playwright tests
run: pnpm test:no-build
- name: Run Playwright E2E suite
run: pnpm test:e2e:no-build
continue-on-error: false
- name: Upload E2E coverage to Codecov
if: ${{ !cancelled() }}
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: platform-frontend-e2e
files: ./autogpt_platform/frontend/coverage/e2e/cobertura-coverage.xml
disable_search: true
- name: Upload Playwright report
if: always()
uses: actions/upload-artifact@v4

3
.gitignore vendored
View File

@@ -187,9 +187,12 @@ autogpt_platform/backend/settings.py
.claude/settings.local.json
CLAUDE.local.md
/autogpt_platform/backend/logs
/autogpt_platform/backend/poetry.toml
# Test database
test.db
.next
# Implementation plans (generated by AI agents)
plans/
.claude/worktrees/
test-results/

36
.gitleaks.toml Normal file
View File

@@ -0,0 +1,36 @@
title = "AutoGPT Gitleaks Config"
[extend]
useDefault = true
[allowlist]
description = "Global allowlist"
paths = [
# Template/example env files (no real secrets)
'''\.env\.(default|example|template)$''',
# Lock files
'''pnpm-lock\.yaml$''',
'''poetry\.lock$''',
# Secrets baseline
'''\.secrets\.baseline$''',
# Build artifacts and caches (should not be committed)
'''__pycache__/''',
'''classic/frontend/build/''',
# Docker dev setup (local dev JWTs/keys only)
'''autogpt_platform/db/docker/''',
# Load test configs (dev JWTs)
'''load-tests/configs/''',
# Test files with fake/fixture keys (_test.py, test_*.py, conftest.py)
'''(_test|test_.*|conftest)\.py$''',
# Documentation (only contains placeholder keys in curl/API examples)
'''docs/.*\.md$''',
# Firebase config (public API keys by design)
'''google-services\.json$''',
'''classic/frontend/(lib|web)/''',
]
# CI test-only encryption key (marked DO NOT USE IN PRODUCTION)
regexes = [
'''dvziYgz0KSK8FENhju0ZYi8''',
# LLM model name enum values falsely flagged as API keys
'''Llama-\d.*Instruct''',
]

View File

@@ -23,9 +23,15 @@ repos:
- id: detect-secrets
name: Detect secrets
description: Detects high entropy strings that are likely to be passwords.
args: ["--baseline", ".secrets.baseline"]
files: ^autogpt_platform/
exclude: pnpm-lock\.yaml$
stages: [pre-push]
exclude: (pnpm-lock\.yaml|\.env\.(default|example|template))$
- repo: https://github.com/gitleaks/gitleaks
rev: v8.24.3
hooks:
- id: gitleaks
name: Detect secrets (gitleaks)
- repo: local
# For proper type checking, all dependencies need to be up-to-date.

471
.secrets.baseline Normal file
View File

@@ -0,0 +1,471 @@
{
"version": "1.5.0",
"plugins_used": [
{
"name": "ArtifactoryDetector"
},
{
"name": "AWSKeyDetector"
},
{
"name": "AzureStorageKeyDetector"
},
{
"name": "Base64HighEntropyString",
"limit": 4.5
},
{
"name": "BasicAuthDetector"
},
{
"name": "CloudantDetector"
},
{
"name": "DiscordBotTokenDetector"
},
{
"name": "GitHubTokenDetector"
},
{
"name": "GitLabTokenDetector"
},
{
"name": "HexHighEntropyString",
"limit": 3.0
},
{
"name": "IbmCloudIamDetector"
},
{
"name": "IbmCosHmacDetector"
},
{
"name": "IPPublicDetector"
},
{
"name": "JwtTokenDetector"
},
{
"name": "KeywordDetector",
"keyword_exclude": ""
},
{
"name": "MailchimpDetector"
},
{
"name": "NpmDetector"
},
{
"name": "OpenAIDetector"
},
{
"name": "PrivateKeyDetector"
},
{
"name": "PypiTokenDetector"
},
{
"name": "SendGridDetector"
},
{
"name": "SlackDetector"
},
{
"name": "SoftlayerDetector"
},
{
"name": "SquareOAuthDetector"
},
{
"name": "StripeDetector"
},
{
"name": "TelegramBotTokenDetector"
},
{
"name": "TwilioKeyDetector"
}
],
"filters_used": [
{
"path": "detect_secrets.filters.allowlist.is_line_allowlisted"
},
{
"path": "detect_secrets.filters.common.is_baseline_file",
"filename": ".secrets.baseline"
},
{
"path": "detect_secrets.filters.common.is_ignored_due_to_verification_policies",
"min_level": 2
},
{
"path": "detect_secrets.filters.heuristic.is_indirect_reference"
},
{
"path": "detect_secrets.filters.heuristic.is_likely_id_string"
},
{
"path": "detect_secrets.filters.heuristic.is_lock_file"
},
{
"path": "detect_secrets.filters.heuristic.is_not_alphanumeric_string"
},
{
"path": "detect_secrets.filters.heuristic.is_potential_uuid"
},
{
"path": "detect_secrets.filters.heuristic.is_prefixed_with_dollar_sign"
},
{
"path": "detect_secrets.filters.heuristic.is_sequential_string"
},
{
"path": "detect_secrets.filters.heuristic.is_swagger_file"
},
{
"path": "detect_secrets.filters.heuristic.is_templated_secret"
},
{
"path": "detect_secrets.filters.regex.should_exclude_file",
"pattern": [
"\\.env$",
"pnpm-lock\\.yaml$",
"\\.env\\.(default|example|template)$",
"__pycache__",
"_test\\.py$",
"test_.*\\.py$",
"conftest\\.py$",
"poetry\\.lock$",
"node_modules"
]
}
],
"results": {
"autogpt_platform/backend/backend/api/external/v1/integrations.py": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/backend/backend/api/external/v1/integrations.py",
"hashed_secret": "665b1e3851eefefa3fb878654292f16597d25155",
"is_verified": false,
"line_number": 289
}
],
"autogpt_platform/backend/backend/blocks/airtable/_config.py": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/backend/backend/blocks/airtable/_config.py",
"hashed_secret": "57e168b03afb7c1ee3cdc4ee3db2fe1cc6e0df26",
"is_verified": false,
"line_number": 29
}
],
"autogpt_platform/backend/backend/blocks/dataforseo/_config.py": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/backend/backend/blocks/dataforseo/_config.py",
"hashed_secret": "32ce93887331fa5d192f2876ea15ec000c7d58b8",
"is_verified": false,
"line_number": 12
}
],
"autogpt_platform/backend/backend/blocks/github/checks.py": [
{
"type": "Hex High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/github/checks.py",
"hashed_secret": "8ac6f92737d8586790519c5d7bfb4d2eb172c238",
"is_verified": false,
"line_number": 108
}
],
"autogpt_platform/backend/backend/blocks/github/ci.py": [
{
"type": "Hex High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/github/ci.py",
"hashed_secret": "90bd1b48e958257948487b90bee080ba5ed00caa",
"is_verified": false,
"line_number": 123
}
],
"autogpt_platform/backend/backend/blocks/github/example_payloads/pull_request.synchronize.json": [
{
"type": "Hex High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/github/example_payloads/pull_request.synchronize.json",
"hashed_secret": "f96896dafced7387dcd22343b8ea29d3d2c65663",
"is_verified": false,
"line_number": 42
},
{
"type": "Hex High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/github/example_payloads/pull_request.synchronize.json",
"hashed_secret": "b80a94d5e70bedf4f5f89d2f5a5255cc9492d12e",
"is_verified": false,
"line_number": 193
},
{
"type": "Hex High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/github/example_payloads/pull_request.synchronize.json",
"hashed_secret": "75b17e517fe1b3136394f6bec80c4f892da75e42",
"is_verified": false,
"line_number": 344
},
{
"type": "Hex High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/github/example_payloads/pull_request.synchronize.json",
"hashed_secret": "b0bfb5e4e2394e7f8906e5ed1dffd88b2bc89dd5",
"is_verified": false,
"line_number": 534
}
],
"autogpt_platform/backend/backend/blocks/github/statuses.py": [
{
"type": "Hex High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/github/statuses.py",
"hashed_secret": "8ac6f92737d8586790519c5d7bfb4d2eb172c238",
"is_verified": false,
"line_number": 85
}
],
"autogpt_platform/backend/backend/blocks/google/docs.py": [
{
"type": "Hex High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/google/docs.py",
"hashed_secret": "c95da0c6696342c867ef0c8258d2f74d20fd94d4",
"is_verified": false,
"line_number": 203
}
],
"autogpt_platform/backend/backend/blocks/google/sheets.py": [
{
"type": "Base64 High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/google/sheets.py",
"hashed_secret": "bd5a04fa3667e693edc13239b6d310c5c7a8564b",
"is_verified": false,
"line_number": 57
}
],
"autogpt_platform/backend/backend/blocks/linear/_config.py": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/backend/backend/blocks/linear/_config.py",
"hashed_secret": "b37f020f42d6d613b6ce30103e4d408c4499b3bb",
"is_verified": false,
"line_number": 53
}
],
"autogpt_platform/backend/backend/blocks/medium.py": [
{
"type": "Hex High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/medium.py",
"hashed_secret": "ff998abc1ce6d8f01a675fa197368e44c8916e9c",
"is_verified": false,
"line_number": 131
}
],
"autogpt_platform/backend/backend/blocks/replicate/replicate_block.py": [
{
"type": "Hex High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/replicate/replicate_block.py",
"hashed_secret": "8bbdd6f26368f58ea4011d13d7f763cb662e66f0",
"is_verified": false,
"line_number": 55
}
],
"autogpt_platform/backend/backend/blocks/slant3d/webhook.py": [
{
"type": "Hex High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/slant3d/webhook.py",
"hashed_secret": "36263c76947443b2f6e6b78153967ac4a7da99f9",
"is_verified": false,
"line_number": 100
}
],
"autogpt_platform/backend/backend/blocks/talking_head.py": [
{
"type": "Base64 High Entropy String",
"filename": "autogpt_platform/backend/backend/blocks/talking_head.py",
"hashed_secret": "44ce2d66222529eea4a32932823466fc0601c799",
"is_verified": false,
"line_number": 113
}
],
"autogpt_platform/backend/backend/blocks/wordpress/_config.py": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/backend/backend/blocks/wordpress/_config.py",
"hashed_secret": "e62679512436161b78e8a8d68c8829c2a1031ccb",
"is_verified": false,
"line_number": 17
}
],
"autogpt_platform/backend/backend/util/cache.py": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/backend/backend/util/cache.py",
"hashed_secret": "37f0c918c3fa47ca4a70e42037f9f123fdfbc75b",
"is_verified": false,
"line_number": 449
}
],
"autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/helpers.ts": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/app/(platform)/build/components/FlowEditor/nodes/helpers.ts",
"hashed_secret": "5baa61e4c9b93f3f0682250b6cf8331b7ee68fd8",
"is_verified": false,
"line_number": 6
}
],
"autogpt_platform/frontend/src/app/(platform)/dictionaries/en.json": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/app/(platform)/dictionaries/en.json",
"hashed_secret": "8be3c943b1609fffbfc51aad666d0a04adf83c9d",
"is_verified": false,
"line_number": 5
}
],
"autogpt_platform/frontend/src/app/(platform)/dictionaries/es.json": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/app/(platform)/dictionaries/es.json",
"hashed_secret": "5a6d1c612954979ea99ee33dbb2d231b00f6ac0a",
"is_verified": false,
"line_number": 5
}
],
"autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/AgentInputsReadOnly/helpers.ts": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/AgentInputsReadOnly/helpers.ts",
"hashed_secret": "cf678cab87dc1f7d1b95b964f15375e088461679",
"is_verified": false,
"line_number": 6
},
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/AgentInputsReadOnly/helpers.ts",
"hashed_secret": "f72cbb45464d487064610c5411c576ca4019d380",
"is_verified": false,
"line_number": 8
}
],
"autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/RunAgentModal/components/ModalRunSection/helpers.ts": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/RunAgentModal/components/ModalRunSection/helpers.ts",
"hashed_secret": "cf678cab87dc1f7d1b95b964f15375e088461679",
"is_verified": false,
"line_number": 5
},
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/app/(platform)/library/agents/[id]/components/NewAgentLibraryView/components/modals/RunAgentModal/components/ModalRunSection/helpers.ts",
"hashed_secret": "f72cbb45464d487064610c5411c576ca4019d380",
"is_verified": false,
"line_number": 7
}
],
"autogpt_platform/frontend/src/app/(platform)/profile/(user)/integrations/page.tsx": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/app/(platform)/profile/(user)/integrations/page.tsx",
"hashed_secret": "cf678cab87dc1f7d1b95b964f15375e088461679",
"is_verified": false,
"line_number": 192
},
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/app/(platform)/profile/(user)/integrations/page.tsx",
"hashed_secret": "86275db852204937bbdbdebe5fabe8536e030ab6",
"is_verified": false,
"line_number": 193
}
],
"autogpt_platform/frontend/src/components/contextual/CredentialsInput/helpers.ts": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/components/contextual/CredentialsInput/helpers.ts",
"hashed_secret": "47acd2028cf81b5da88ddeedb2aea4eca4b71fbd",
"is_verified": false,
"line_number": 102
},
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/components/contextual/CredentialsInput/helpers.ts",
"hashed_secret": "8be3c943b1609fffbfc51aad666d0a04adf83c9d",
"is_verified": false,
"line_number": 103
}
],
"autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts": [
{
"type": "Base64 High Entropy String",
"filename": "autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts",
"hashed_secret": "9c486c92f1a7420e1045c7ad963fbb7ba3621025",
"is_verified": false,
"line_number": 73
},
{
"type": "Base64 High Entropy String",
"filename": "autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts",
"hashed_secret": "9277508c7a6effc8fb59163efbfada189e35425c",
"is_verified": false,
"line_number": 75
},
{
"type": "Base64 High Entropy String",
"filename": "autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts",
"hashed_secret": "8dc7e2cb1d0935897d541bf5facab389b8a50340",
"is_verified": false,
"line_number": 77
},
{
"type": "Base64 High Entropy String",
"filename": "autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts",
"hashed_secret": "79a26ad48775944299be6aaf9fb1d5302c1ed75b",
"is_verified": false,
"line_number": 79
},
{
"type": "Base64 High Entropy String",
"filename": "autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts",
"hashed_secret": "a3b62b44500a1612e48d4cab8294df81561b3b1a",
"is_verified": false,
"line_number": 81
},
{
"type": "Base64 High Entropy String",
"filename": "autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts",
"hashed_secret": "a58979bd0b21ef4f50417d001008e60dd7a85c64",
"is_verified": false,
"line_number": 83
},
{
"type": "Base64 High Entropy String",
"filename": "autogpt_platform/frontend/src/lib/autogpt-server-api/utils.ts",
"hashed_secret": "6cb6e075f8e8c7c850f9d128d6608e5dbe209a79",
"is_verified": false,
"line_number": 85
}
],
"autogpt_platform/frontend/src/lib/constants.ts": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/lib/constants.ts",
"hashed_secret": "27b924db06a28cc755fb07c54f0fddc30659fe4d",
"is_verified": false,
"line_number": 13
}
],
"autogpt_platform/frontend/src/tests/credentials/index.ts": [
{
"type": "Secret Keyword",
"filename": "autogpt_platform/frontend/src/tests/credentials/index.ts",
"hashed_secret": "c18006fc138809314751cd1991f1e0b820fabd37",
"is_verified": false,
"line_number": 4
}
]
},
"generated_at": "2026-04-09T14:20:23Z"
}

View File

@@ -30,7 +30,7 @@ See `/frontend/CONTRIBUTING.md` for complete patterns. Quick reference:
- Regenerate with `pnpm generate:api`
- Pattern: `use{Method}{Version}{OperationName}`
4. **Styling**: Tailwind CSS only, use design tokens, Phosphor Icons only
5. **Testing**: Add Storybook stories for new components, Playwright for E2E
5. **Testing**: Integration tests (Vitest + RTL + MSW) are the default (~90%, page-level). Playwright for E2E critical flows. Storybook for design system components. See `autogpt_platform/frontend/TESTING.md`
6. **Code conventions**: Function declarations (not arrow functions) for components/handlers
- Component props should be `interface Props { ... }` (not exported) unless the interface needs to be used outside the component
@@ -47,7 +47,9 @@ See `/frontend/CONTRIBUTING.md` for complete patterns. Quick reference:
## Testing
- Backend: `poetry run test` (runs pytest with a docker based postgres + prisma).
- Frontend: `pnpm test` or `pnpm test-ui` for Playwright tests. See `docs/content/platform/contributing/tests.md` for tips.
- Frontend integration tests: `pnpm test:unit` (Vitest + RTL + MSW, primary testing approach).
- Frontend E2E tests: `pnpm test` or `pnpm test-ui` for Playwright tests.
- See `autogpt_platform/frontend/TESTING.md` for the full testing strategy.
Always run the relevant linters and tests before committing.
Use conventional commit messages for all commits (e.g. `feat(backend): add API`).

View File

@@ -1,3 +1,6 @@
*.ignore.*
*.ign.*
.application.logs
# Claude Code local settings only — the rest of .claude/ is shared (skills etc.)
.claude/settings.local.json

View File

@@ -0,0 +1,100 @@
-- =============================================================
-- View: analytics.platform_cost_log
-- Looker source alias: ds115 | Charts: 0
-- =============================================================
-- DESCRIPTION
-- One row per platform cost log entry (last 90 days).
-- Tracks real API spend at the call level: provider, model,
-- token counts (including Anthropic cache tokens), cost in
-- microdollars, and the block/execution that incurred the cost.
-- Joins the User table to provide email for per-user breakdowns.
--
-- SOURCE TABLES
-- platform.PlatformCostLog — Per-call cost records
-- platform.User — User email
--
-- OUTPUT COLUMNS
-- id TEXT Log entry UUID
-- createdAt TIMESTAMPTZ When the cost was recorded
-- userId TEXT User who incurred the cost (nullable)
-- email TEXT User email (nullable)
-- graphExecId TEXT Graph execution UUID (nullable)
-- nodeExecId TEXT Node execution UUID (nullable)
-- blockName TEXT Block that made the API call (nullable)
-- provider TEXT API provider, lowercase (e.g. 'openai', 'anthropic')
-- model TEXT Model name (nullable)
-- trackingType TEXT Cost unit: 'tokens' | 'cost_usd' | 'characters' | etc.
-- costMicrodollars BIGINT Cost in microdollars (divide by 1,000,000 for USD)
-- costUsd FLOAT Cost in USD (costMicrodollars / 1,000,000)
-- inputTokens INT Prompt/input tokens (nullable)
-- outputTokens INT Completion/output tokens (nullable)
-- cacheReadTokens INT Anthropic cache-read tokens billed at 10% (nullable)
-- cacheCreationTokens INT Anthropic cache-write tokens billed at 125% (nullable)
-- totalTokens INT inputTokens + outputTokens (nullable if either is null)
-- duration FLOAT API call duration in seconds (nullable)
--
-- WINDOW
-- Rolling 90 days (createdAt > CURRENT_DATE - 90 days)
--
-- EXAMPLE QUERIES
-- -- Total spend by provider (last 90 days)
-- SELECT provider, SUM("costUsd") AS total_usd, COUNT(*) AS calls
-- FROM analytics.platform_cost_log
-- GROUP BY 1 ORDER BY total_usd DESC;
--
-- -- Spend by model
-- SELECT provider, model, SUM("costUsd") AS total_usd,
-- SUM("inputTokens") AS input_tokens,
-- SUM("outputTokens") AS output_tokens
-- FROM analytics.platform_cost_log
-- WHERE model IS NOT NULL
-- GROUP BY 1, 2 ORDER BY total_usd DESC;
--
-- -- Top 20 users by spend
-- SELECT "userId", email, SUM("costUsd") AS total_usd, COUNT(*) AS calls
-- FROM analytics.platform_cost_log
-- WHERE "userId" IS NOT NULL
-- GROUP BY 1, 2 ORDER BY total_usd DESC LIMIT 20;
--
-- -- Daily spend trend
-- SELECT DATE_TRUNC('day', "createdAt") AS day,
-- SUM("costUsd") AS daily_usd,
-- COUNT(*) AS calls
-- FROM analytics.platform_cost_log
-- GROUP BY 1 ORDER BY 1;
--
-- -- Cache hit rate for Anthropic (cache reads vs total reads)
-- SELECT DATE_TRUNC('day', "createdAt") AS day,
-- SUM("cacheReadTokens")::float /
-- NULLIF(SUM("inputTokens" + COALESCE("cacheReadTokens", 0)), 0) AS cache_hit_rate
-- FROM analytics.platform_cost_log
-- WHERE provider = 'anthropic'
-- GROUP BY 1 ORDER BY 1;
-- =============================================================
SELECT
p."id" AS id,
p."createdAt" AS createdAt,
p."userId" AS userId,
u."email" AS email,
p."graphExecId" AS graphExecId,
p."nodeExecId" AS nodeExecId,
p."blockName" AS blockName,
p."provider" AS provider,
p."model" AS model,
p."trackingType" AS trackingType,
p."costMicrodollars" AS costMicrodollars,
p."costMicrodollars"::float / 1000000.0 AS costUsd,
p."inputTokens" AS inputTokens,
p."outputTokens" AS outputTokens,
p."cacheReadTokens" AS cacheReadTokens,
p."cacheCreationTokens" AS cacheCreationTokens,
CASE
WHEN p."inputTokens" IS NOT NULL AND p."outputTokens" IS NOT NULL
THEN p."inputTokens" + p."outputTokens"
ELSE NULL
END AS totalTokens,
p."duration" AS duration
FROM platform."PlatformCostLog" p
LEFT JOIN platform."User" u ON u."id" = p."userId"
WHERE p."createdAt" > CURRENT_DATE - INTERVAL '90 days'

View File

@@ -58,6 +58,17 @@ V0_API_KEY=
OPEN_ROUTER_API_KEY=
NVIDIA_API_KEY=
# Graphiti Temporal Knowledge Graph Memory
# Rollout controlled by LaunchDarkly flag "graphiti-memory"
# LLM key falls back to CHAT_API_KEY (AutoPilot), then OPEN_ROUTER_API_KEY.
# Embedder key falls back to CHAT_OPENAI_API_KEY (AutoPilot), then OPENAI_API_KEY.
GRAPHITI_FALKORDB_HOST=localhost
GRAPHITI_FALKORDB_PORT=6380
GRAPHITI_FALKORDB_PASSWORD=
GRAPHITI_LLM_MODEL=gpt-4.1-mini
GRAPHITI_EMBEDDER_MODEL=text-embedding-3-small
GRAPHITI_SEMAPHORE_LIMIT=5
# Langfuse Prompt Management
# Used for managing the CoPilot system prompt externally
# Get credentials from https://cloud.langfuse.com or your self-hosted instance
@@ -168,6 +179,9 @@ MEM0_API_KEY=
OPENWEATHERMAP_API_KEY=
GOOGLE_MAPS_API_KEY=
# Platform Bot Linking
PLATFORM_LINK_BASE_URL=http://localhost:3000/link
# Communication Services
DISCORD_BOT_TOKEN=
MEDIUM_API_KEY=

View File

@@ -0,0 +1,166 @@
{
"id": "858e2226-e047-4d19-a832-3be4a134d155",
"version": 2,
"is_active": true,
"name": "Calculator agent",
"description": "",
"instructions": null,
"recommended_schedule_cron": null,
"forked_from_id": null,
"forked_from_version": null,
"user_id": "",
"created_at": "2026-04-13T03:45:11.241Z",
"nodes": [
{
"id": "6762da5d-6915-4836-a431-6dcd7d36a54a",
"block_id": "c0a8e994-ebf1-4a9c-a4d8-89d09c86741b",
"input_default": {
"name": "Input",
"secret": false,
"advanced": false
},
"metadata": {
"position": {
"x": -188.2244873046875,
"y": 95
}
},
"input_links": [],
"output_links": [
{
"id": "432c7caa-49b9-4b70-bd21-2fa33a569601",
"source_id": "6762da5d-6915-4836-a431-6dcd7d36a54a",
"sink_id": "bf4a15ff-b0c4-4032-a21b-5880224af690",
"source_name": "result",
"sink_name": "a",
"is_static": true
}
],
"graph_id": "858e2226-e047-4d19-a832-3be4a134d155",
"graph_version": 2,
"webhook_id": null
},
{
"id": "65429c9e-a0c6-4032-a421-6899c394fa74",
"block_id": "363ae599-353e-4804-937e-b2ee3cef3da4",
"input_default": {
"name": "Output",
"secret": false,
"advanced": false,
"escape_html": false
},
"metadata": {
"position": {
"x": 825.198974609375,
"y": 123.75
}
},
"input_links": [
{
"id": "8cdb2f33-5b10-4cc2-8839-f8ccb70083a3",
"source_id": "bf4a15ff-b0c4-4032-a21b-5880224af690",
"sink_id": "65429c9e-a0c6-4032-a421-6899c394fa74",
"source_name": "result",
"sink_name": "value",
"is_static": false
}
],
"output_links": [],
"graph_id": "858e2226-e047-4d19-a832-3be4a134d155",
"graph_version": 2,
"webhook_id": null
},
{
"id": "bf4a15ff-b0c4-4032-a21b-5880224af690",
"block_id": "b1ab9b19-67a6-406d-abf5-2dba76d00c79",
"input_default": {
"b": 34,
"operation": "Add",
"round_result": false
},
"metadata": {
"position": {
"x": 323.0255126953125,
"y": 121.25
}
},
"input_links": [
{
"id": "432c7caa-49b9-4b70-bd21-2fa33a569601",
"source_id": "6762da5d-6915-4836-a431-6dcd7d36a54a",
"sink_id": "bf4a15ff-b0c4-4032-a21b-5880224af690",
"source_name": "result",
"sink_name": "a",
"is_static": true
}
],
"output_links": [
{
"id": "8cdb2f33-5b10-4cc2-8839-f8ccb70083a3",
"source_id": "bf4a15ff-b0c4-4032-a21b-5880224af690",
"sink_id": "65429c9e-a0c6-4032-a421-6899c394fa74",
"source_name": "result",
"sink_name": "value",
"is_static": false
}
],
"graph_id": "858e2226-e047-4d19-a832-3be4a134d155",
"graph_version": 2,
"webhook_id": null
}
],
"links": [
{
"id": "8cdb2f33-5b10-4cc2-8839-f8ccb70083a3",
"source_id": "bf4a15ff-b0c4-4032-a21b-5880224af690",
"sink_id": "65429c9e-a0c6-4032-a421-6899c394fa74",
"source_name": "result",
"sink_name": "value",
"is_static": false
},
{
"id": "432c7caa-49b9-4b70-bd21-2fa33a569601",
"source_id": "6762da5d-6915-4836-a431-6dcd7d36a54a",
"sink_id": "bf4a15ff-b0c4-4032-a21b-5880224af690",
"source_name": "result",
"sink_name": "a",
"is_static": true
}
],
"sub_graphs": [],
"input_schema": {
"type": "object",
"properties": {
"Input": {
"advanced": false,
"secret": false,
"title": "Input"
}
},
"required": [
"Input"
]
},
"output_schema": {
"type": "object",
"properties": {
"Output": {
"advanced": false,
"secret": false,
"title": "Output"
}
},
"required": [
"Output"
]
},
"has_external_trigger": false,
"has_human_in_the_loop": false,
"has_sensitive_action": false,
"trigger_setup_info": null,
"credentials_input_schema": {
"type": "object",
"properties": {},
"required": []
}
}

View File

@@ -0,0 +1,932 @@
import asyncio
import logging
from typing import List
from autogpt_libs.auth import requires_admin_user
from autogpt_libs.auth.models import User as AuthUser
from fastapi import APIRouter, HTTPException, Security
from prisma.enums import AgentExecutionStatus
from pydantic import BaseModel
from backend.api.features.admin.model import (
AgentDiagnosticsResponse,
ExecutionDiagnosticsResponse,
)
from backend.data.diagnostics import (
FailedExecutionDetail,
OrphanedScheduleDetail,
RunningExecutionDetail,
ScheduleDetail,
ScheduleHealthMetrics,
cleanup_all_stuck_queued_executions,
cleanup_orphaned_executions_bulk,
cleanup_orphaned_schedules_bulk,
get_agent_diagnostics,
get_all_orphaned_execution_ids,
get_all_schedules_details,
get_all_stuck_queued_execution_ids,
get_execution_diagnostics,
get_failed_executions_count,
get_failed_executions_details,
get_invalid_executions_details,
get_long_running_executions_details,
get_orphaned_executions_details,
get_orphaned_schedules_details,
get_running_executions_details,
get_schedule_health_metrics,
get_stuck_queued_executions_details,
stop_all_long_running_executions,
)
from backend.data.execution import get_graph_executions
from backend.executor.utils import add_graph_execution, stop_graph_execution
logger = logging.getLogger(__name__)
router = APIRouter(
prefix="/admin",
tags=["diagnostics", "admin"],
dependencies=[Security(requires_admin_user)],
)
class RunningExecutionsListResponse(BaseModel):
"""Response model for list of running executions"""
executions: List[RunningExecutionDetail]
total: int
class FailedExecutionsListResponse(BaseModel):
"""Response model for list of failed executions"""
executions: List[FailedExecutionDetail]
total: int
class StopExecutionRequest(BaseModel):
"""Request model for stopping a single execution"""
execution_id: str
class StopExecutionsRequest(BaseModel):
"""Request model for stopping multiple executions"""
execution_ids: List[str]
class StopExecutionResponse(BaseModel):
"""Response model for stop execution operations"""
success: bool
stopped_count: int = 0
message: str
class RequeueExecutionResponse(BaseModel):
"""Response model for requeue execution operations"""
success: bool
requeued_count: int = 0
message: str
@router.get(
"/diagnostics/executions",
response_model=ExecutionDiagnosticsResponse,
summary="Get Execution Diagnostics",
)
async def get_execution_diagnostics_endpoint():
"""
Get comprehensive diagnostic information about execution status.
Returns all execution metrics including:
- Current state (running, queued)
- Orphaned executions (>24h old, likely not in executor)
- Failure metrics (1h, 24h, rate)
- Long-running detection (stuck >1h, >24h)
- Stuck queued detection
- Throughput metrics (completions/hour)
- RabbitMQ queue depths
"""
logger.info("Getting execution diagnostics")
diagnostics = await get_execution_diagnostics()
response = ExecutionDiagnosticsResponse(
running_executions=diagnostics.running_count,
queued_executions_db=diagnostics.queued_db_count,
queued_executions_rabbitmq=diagnostics.rabbitmq_queue_depth,
cancel_queue_depth=diagnostics.cancel_queue_depth,
orphaned_running=diagnostics.orphaned_running,
orphaned_queued=diagnostics.orphaned_queued,
failed_count_1h=diagnostics.failed_count_1h,
failed_count_24h=diagnostics.failed_count_24h,
failure_rate_24h=diagnostics.failure_rate_24h,
stuck_running_24h=diagnostics.stuck_running_24h,
stuck_running_1h=diagnostics.stuck_running_1h,
oldest_running_hours=diagnostics.oldest_running_hours,
stuck_queued_1h=diagnostics.stuck_queued_1h,
queued_never_started=diagnostics.queued_never_started,
invalid_queued_with_start=diagnostics.invalid_queued_with_start,
invalid_running_without_start=diagnostics.invalid_running_without_start,
completed_1h=diagnostics.completed_1h,
completed_24h=diagnostics.completed_24h,
throughput_per_hour=diagnostics.throughput_per_hour,
timestamp=diagnostics.timestamp,
)
logger.info(
f"Execution diagnostics: running={diagnostics.running_count}, "
f"queued_db={diagnostics.queued_db_count}, "
f"orphaned={diagnostics.orphaned_running + diagnostics.orphaned_queued}, "
f"failed_24h={diagnostics.failed_count_24h}"
)
return response
@router.get(
"/diagnostics/agents",
response_model=AgentDiagnosticsResponse,
summary="Get Agent Diagnostics",
)
async def get_agent_diagnostics_endpoint():
"""
Get diagnostic information about agents.
Returns:
- agents_with_active_executions: Number of unique agents with running/queued executions
- timestamp: Current timestamp
"""
logger.info("Getting agent diagnostics")
diagnostics = await get_agent_diagnostics()
response = AgentDiagnosticsResponse(
agents_with_active_executions=diagnostics.agents_with_active_executions,
timestamp=diagnostics.timestamp,
)
logger.info(
f"Agent diagnostics: with_active_executions={diagnostics.agents_with_active_executions}"
)
return response
@router.get(
"/diagnostics/executions/running",
response_model=RunningExecutionsListResponse,
summary="List Running Executions",
)
async def list_running_executions(
limit: int = 100,
offset: int = 0,
):
"""
Get detailed list of running and queued executions (recent, likely active).
Args:
limit: Maximum number of executions to return (default 100)
offset: Number of executions to skip (default 0)
Returns:
List of running executions with details
"""
logger.info(f"Listing running executions (limit={limit}, offset={offset})")
executions = await get_running_executions_details(limit=limit, offset=offset)
# Get total count for pagination
diagnostics = await get_execution_diagnostics()
total = diagnostics.running_count + diagnostics.queued_db_count
return RunningExecutionsListResponse(executions=executions, total=total)
@router.get(
"/diagnostics/executions/orphaned",
response_model=RunningExecutionsListResponse,
summary="List Orphaned Executions",
)
async def list_orphaned_executions(
limit: int = 100,
offset: int = 0,
):
"""
Get detailed list of orphaned executions (>24h old, likely not in executor).
Args:
limit: Maximum number of executions to return (default 100)
offset: Number of executions to skip (default 0)
Returns:
List of orphaned executions with details
"""
logger.info(f"Listing orphaned executions (limit={limit}, offset={offset})")
executions = await get_orphaned_executions_details(limit=limit, offset=offset)
# Get total count for pagination
diagnostics = await get_execution_diagnostics()
total = diagnostics.orphaned_running + diagnostics.orphaned_queued
return RunningExecutionsListResponse(executions=executions, total=total)
@router.get(
"/diagnostics/executions/failed",
response_model=FailedExecutionsListResponse,
summary="List Failed Executions",
)
async def list_failed_executions(
limit: int = 100,
offset: int = 0,
hours: int = 24,
):
"""
Get detailed list of failed executions.
Args:
limit: Maximum number of executions to return (default 100)
offset: Number of executions to skip (default 0)
hours: Number of hours to look back (default 24)
Returns:
List of failed executions with error details
"""
logger.info(
f"Listing failed executions (limit={limit}, offset={offset}, hours={hours})"
)
executions = await get_failed_executions_details(
limit=limit, offset=offset, hours=hours
)
# Get total count for pagination
# Always count actual total for given hours parameter
total = await get_failed_executions_count(hours=hours)
return FailedExecutionsListResponse(executions=executions, total=total)
@router.get(
"/diagnostics/executions/long-running",
response_model=RunningExecutionsListResponse,
summary="List Long-Running Executions",
)
async def list_long_running_executions(
limit: int = 100,
offset: int = 0,
):
"""
Get detailed list of long-running executions (RUNNING status >24h).
Args:
limit: Maximum number of executions to return (default 100)
offset: Number of executions to skip (default 0)
Returns:
List of long-running executions with details
"""
logger.info(f"Listing long-running executions (limit={limit}, offset={offset})")
executions = await get_long_running_executions_details(limit=limit, offset=offset)
# Get total count for pagination
diagnostics = await get_execution_diagnostics()
total = diagnostics.stuck_running_24h
return RunningExecutionsListResponse(executions=executions, total=total)
@router.get(
"/diagnostics/executions/stuck-queued",
response_model=RunningExecutionsListResponse,
summary="List Stuck Queued Executions",
)
async def list_stuck_queued_executions(
limit: int = 100,
offset: int = 0,
):
"""
Get detailed list of stuck queued executions (QUEUED >1h, never started).
Args:
limit: Maximum number of executions to return (default 100)
offset: Number of executions to skip (default 0)
Returns:
List of stuck queued executions with details
"""
logger.info(f"Listing stuck queued executions (limit={limit}, offset={offset})")
executions = await get_stuck_queued_executions_details(limit=limit, offset=offset)
# Get total count for pagination
diagnostics = await get_execution_diagnostics()
total = diagnostics.stuck_queued_1h
return RunningExecutionsListResponse(executions=executions, total=total)
@router.get(
"/diagnostics/executions/invalid",
response_model=RunningExecutionsListResponse,
summary="List Invalid Executions",
)
async def list_invalid_executions(
limit: int = 100,
offset: int = 0,
):
"""
Get detailed list of executions in invalid states (READ-ONLY).
Invalid states indicate data corruption and require manual investigation:
- QUEUED but has startedAt (impossible - can't start while queued)
- RUNNING but no startedAt (impossible - can't run without starting)
⚠️ NO BULK ACTIONS PROVIDED - These need case-by-case investigation.
Each invalid execution likely has a different root cause (crashes, race conditions,
DB corruption). Investigate the execution history and logs to determine appropriate
action (manual cleanup, status fix, or leave as-is if system recovered).
Args:
limit: Maximum number of executions to return (default 100)
offset: Number of executions to skip (default 0)
Returns:
List of invalid state executions with details
"""
logger.info(f"Listing invalid state executions (limit={limit}, offset={offset})")
executions = await get_invalid_executions_details(limit=limit, offset=offset)
# Get total count for pagination
diagnostics = await get_execution_diagnostics()
total = (
diagnostics.invalid_queued_with_start
+ diagnostics.invalid_running_without_start
)
return RunningExecutionsListResponse(executions=executions, total=total)
@router.post(
"/diagnostics/executions/requeue",
response_model=RequeueExecutionResponse,
summary="Requeue Stuck Execution",
)
async def requeue_single_execution(
request: StopExecutionRequest, # Reuse same request model (has execution_id)
user: AuthUser = Security(requires_admin_user),
):
"""
Requeue a stuck QUEUED execution (admin only).
Uses add_graph_execution with existing graph_exec_id to requeue.
⚠️ WARNING: Only use for stuck executions. This will re-execute and may cost credits.
Args:
request: Contains execution_id to requeue
Returns:
Success status and message
"""
logger.info(f"Admin {user.user_id} requeueing execution {request.execution_id}")
# Get the execution (validation - must be QUEUED)
executions = await get_graph_executions(
graph_exec_id=request.execution_id,
statuses=[AgentExecutionStatus.QUEUED],
)
if not executions:
raise HTTPException(
status_code=404,
detail="Execution not found or not in QUEUED status",
)
execution = executions[0]
# Use add_graph_execution in requeue mode
await add_graph_execution(
graph_id=execution.graph_id,
user_id=execution.user_id,
graph_version=execution.graph_version,
graph_exec_id=request.execution_id, # Requeue existing execution
)
return RequeueExecutionResponse(
success=True,
requeued_count=1,
message="Execution requeued successfully",
)
@router.post(
"/diagnostics/executions/requeue-bulk",
response_model=RequeueExecutionResponse,
summary="Requeue Multiple Stuck Executions",
)
async def requeue_multiple_executions(
request: StopExecutionsRequest, # Reuse same request model (has execution_ids)
user: AuthUser = Security(requires_admin_user),
):
"""
Requeue multiple stuck QUEUED executions (admin only).
Uses add_graph_execution with existing graph_exec_id to requeue.
⚠️ WARNING: Only use for stuck executions. This will re-execute and may cost credits.
Args:
request: Contains list of execution_ids to requeue
Returns:
Number of executions requeued and success message
"""
logger.info(
f"Admin {user.user_id} requeueing {len(request.execution_ids)} executions"
)
# Get executions by ID list (must be QUEUED)
executions = await get_graph_executions(
execution_ids=request.execution_ids,
statuses=[AgentExecutionStatus.QUEUED],
)
if not executions:
return RequeueExecutionResponse(
success=False,
requeued_count=0,
message="No QUEUED executions found to requeue",
)
# Requeue all executions in parallel using add_graph_execution
async def requeue_one(exec) -> bool:
try:
await add_graph_execution(
graph_id=exec.graph_id,
user_id=exec.user_id,
graph_version=exec.graph_version,
graph_exec_id=exec.id, # Requeue existing
)
return True
except Exception as e:
logger.error(f"Failed to requeue {exec.id}: {e}")
return False
results = await asyncio.gather(
*[requeue_one(exec) for exec in executions], return_exceptions=False
)
requeued_count = sum(1 for success in results if success)
return RequeueExecutionResponse(
success=requeued_count > 0,
requeued_count=requeued_count,
message=f"Requeued {requeued_count} of {len(request.execution_ids)} executions",
)
@router.post(
"/diagnostics/executions/stop",
response_model=StopExecutionResponse,
summary="Stop Single Execution",
)
async def stop_single_execution(
request: StopExecutionRequest,
user: AuthUser = Security(requires_admin_user),
):
"""
Stop a single execution (admin only).
Uses robust stop_graph_execution which cascades to children and waits for termination.
Args:
request: Contains execution_id to stop
Returns:
Success status and message
"""
logger.info(f"Admin {user.user_id} stopping execution {request.execution_id}")
# Get the execution to find its owner user_id (required by stop_graph_execution)
executions = await get_graph_executions(
graph_exec_id=request.execution_id,
)
if not executions:
raise HTTPException(status_code=404, detail="Execution not found")
execution = executions[0]
# Use robust stop_graph_execution (cascades to children, waits for termination)
await stop_graph_execution(
user_id=execution.user_id,
graph_exec_id=request.execution_id,
wait_timeout=15.0,
cascade=True,
)
return StopExecutionResponse(
success=True,
stopped_count=1,
message="Execution stopped successfully",
)
@router.post(
"/diagnostics/executions/stop-bulk",
response_model=StopExecutionResponse,
summary="Stop Multiple Executions",
)
async def stop_multiple_executions(
request: StopExecutionsRequest,
user: AuthUser = Security(requires_admin_user),
):
"""
Stop multiple active executions (admin only).
Uses robust stop_graph_execution which cascades to children and waits for termination.
Args:
request: Contains list of execution_ids to stop
Returns:
Number of executions stopped and success message
"""
logger.info(
f"Admin {user.user_id} stopping {len(request.execution_ids)} executions"
)
# Get executions by ID list
executions = await get_graph_executions(
execution_ids=request.execution_ids,
)
if not executions:
return StopExecutionResponse(
success=False,
stopped_count=0,
message="No executions found",
)
# Stop all executions in parallel using robust stop_graph_execution
async def stop_one(exec) -> bool:
try:
await stop_graph_execution(
user_id=exec.user_id,
graph_exec_id=exec.id,
wait_timeout=15.0,
cascade=True,
)
return True
except Exception as e:
logger.error(f"Failed to stop execution {exec.id}: {e}")
return False
results = await asyncio.gather(
*[stop_one(exec) for exec in executions], return_exceptions=False
)
stopped_count = sum(1 for success in results if success)
return StopExecutionResponse(
success=stopped_count > 0,
stopped_count=stopped_count,
message=f"Stopped {stopped_count} of {len(request.execution_ids)} executions",
)
@router.post(
"/diagnostics/executions/cleanup-orphaned",
response_model=StopExecutionResponse,
summary="Cleanup Orphaned Executions",
)
async def cleanup_orphaned_executions(
request: StopExecutionsRequest,
user: AuthUser = Security(requires_admin_user),
):
"""
Cleanup orphaned executions by directly updating DB status (admin only).
For executions in DB but not actually running in executor (old/stale records).
Args:
request: Contains list of execution_ids to cleanup
Returns:
Number of executions cleaned up and success message
"""
logger.info(
f"Admin {user.user_id} cleaning up {len(request.execution_ids)} orphaned executions"
)
cleaned_count = await cleanup_orphaned_executions_bulk(
request.execution_ids, user.user_id
)
return StopExecutionResponse(
success=cleaned_count > 0,
stopped_count=cleaned_count,
message=f"Cleaned up {cleaned_count} of {len(request.execution_ids)} orphaned executions",
)
# ============================================================================
# SCHEDULE DIAGNOSTICS ENDPOINTS
# ============================================================================
class SchedulesListResponse(BaseModel):
"""Response model for list of schedules"""
schedules: List[ScheduleDetail]
total: int
class OrphanedSchedulesListResponse(BaseModel):
"""Response model for list of orphaned schedules"""
schedules: List[OrphanedScheduleDetail]
total: int
class ScheduleCleanupRequest(BaseModel):
"""Request model for cleaning up schedules"""
schedule_ids: List[str]
class ScheduleCleanupResponse(BaseModel):
"""Response model for schedule cleanup operations"""
success: bool
deleted_count: int = 0
message: str
@router.get(
"/diagnostics/schedules",
response_model=ScheduleHealthMetrics,
summary="Get Schedule Diagnostics",
)
async def get_schedule_diagnostics_endpoint():
"""
Get comprehensive diagnostic information about schedule health.
Returns schedule metrics including:
- Total schedules (user vs system)
- Orphaned schedules by category
- Upcoming executions
"""
logger.info("Getting schedule diagnostics")
diagnostics = await get_schedule_health_metrics()
logger.info(
f"Schedule diagnostics: total={diagnostics.total_schedules}, "
f"user={diagnostics.user_schedules}, "
f"orphaned={diagnostics.total_orphaned}"
)
return diagnostics
@router.get(
"/diagnostics/schedules/all",
response_model=SchedulesListResponse,
summary="List All User Schedules",
)
async def list_all_schedules(
limit: int = 100,
offset: int = 0,
):
"""
Get detailed list of all user schedules (excludes system monitoring jobs).
Args:
limit: Maximum number of schedules to return (default 100)
offset: Number of schedules to skip (default 0)
Returns:
List of schedules with details
"""
logger.info(f"Listing all schedules (limit={limit}, offset={offset})")
schedules = await get_all_schedules_details(limit=limit, offset=offset)
# Get total count
diagnostics = await get_schedule_health_metrics()
total = diagnostics.user_schedules
return SchedulesListResponse(schedules=schedules, total=total)
@router.get(
"/diagnostics/schedules/orphaned",
response_model=OrphanedSchedulesListResponse,
summary="List Orphaned Schedules",
)
async def list_orphaned_schedules():
"""
Get detailed list of orphaned schedules with orphan reasons.
Returns:
List of orphaned schedules categorized by orphan type
"""
logger.info("Listing orphaned schedules")
schedules = await get_orphaned_schedules_details()
return OrphanedSchedulesListResponse(schedules=schedules, total=len(schedules))
@router.post(
"/diagnostics/schedules/cleanup-orphaned",
response_model=ScheduleCleanupResponse,
summary="Cleanup Orphaned Schedules",
)
async def cleanup_orphaned_schedules(
request: ScheduleCleanupRequest,
user: AuthUser = Security(requires_admin_user),
):
"""
Cleanup orphaned schedules by deleting from scheduler (admin only).
Args:
request: Contains list of schedule_ids to delete
Returns:
Number of schedules deleted and success message
"""
logger.info(
f"Admin {user.user_id} cleaning up {len(request.schedule_ids)} orphaned schedules"
)
deleted_count = await cleanup_orphaned_schedules_bulk(
request.schedule_ids, user.user_id
)
return ScheduleCleanupResponse(
success=deleted_count > 0,
deleted_count=deleted_count,
message=f"Deleted {deleted_count} of {len(request.schedule_ids)} orphaned schedules",
)
@router.post(
"/diagnostics/executions/stop-all-long-running",
response_model=StopExecutionResponse,
summary="Stop ALL Long-Running Executions",
)
async def stop_all_long_running_executions_endpoint(
user: AuthUser = Security(requires_admin_user),
):
"""
Stop ALL long-running executions (RUNNING >24h) by sending cancel signals (admin only).
Operates on entire dataset, not limited to pagination.
Returns:
Number of executions stopped and success message
"""
logger.info(f"Admin {user.user_id} stopping ALL long-running executions")
stopped_count = await stop_all_long_running_executions(user.user_id)
return StopExecutionResponse(
success=stopped_count > 0,
stopped_count=stopped_count,
message=f"Stopped {stopped_count} long-running executions",
)
@router.post(
"/diagnostics/executions/cleanup-all-orphaned",
response_model=StopExecutionResponse,
summary="Cleanup ALL Orphaned Executions",
)
async def cleanup_all_orphaned_executions(
user: AuthUser = Security(requires_admin_user),
):
"""
Cleanup ALL orphaned executions (>24h old) by directly updating DB status.
Operates on all executions, not just paginated results.
Returns:
Number of executions cleaned up and success message
"""
logger.info(f"Admin {user.user_id} cleaning up ALL orphaned executions")
# Fetch all orphaned execution IDs
execution_ids = await get_all_orphaned_execution_ids()
if not execution_ids:
return StopExecutionResponse(
success=True,
stopped_count=0,
message="No orphaned executions to cleanup",
)
cleaned_count = await cleanup_orphaned_executions_bulk(execution_ids, user.user_id)
return StopExecutionResponse(
success=cleaned_count > 0,
stopped_count=cleaned_count,
message=f"Cleaned up {cleaned_count} orphaned executions",
)
@router.post(
"/diagnostics/executions/cleanup-all-stuck-queued",
response_model=StopExecutionResponse,
summary="Cleanup ALL Stuck Queued Executions",
)
async def cleanup_all_stuck_queued_executions_endpoint(
user: AuthUser = Security(requires_admin_user),
):
"""
Cleanup ALL stuck queued executions (QUEUED >1h) by updating DB status (admin only).
Operates on entire dataset, not limited to pagination.
Returns:
Number of executions cleaned up and success message
"""
logger.info(f"Admin {user.user_id} cleaning up ALL stuck queued executions")
cleaned_count = await cleanup_all_stuck_queued_executions(user.user_id)
return StopExecutionResponse(
success=cleaned_count > 0,
stopped_count=cleaned_count,
message=f"Cleaned up {cleaned_count} stuck queued executions",
)
@router.post(
"/diagnostics/executions/requeue-all-stuck",
response_model=RequeueExecutionResponse,
summary="Requeue ALL Stuck Queued Executions",
)
async def requeue_all_stuck_executions(
user: AuthUser = Security(requires_admin_user),
):
"""
Requeue ALL stuck queued executions (QUEUED >1h) by publishing to RabbitMQ.
Operates on all executions, not just paginated results.
Uses add_graph_execution with existing graph_exec_id to requeue.
⚠️ WARNING: This will re-execute ALL stuck executions and may cost significant credits.
Returns:
Number of executions requeued and success message
"""
logger.info(f"Admin {user.user_id} requeueing ALL stuck queued executions")
# Fetch all stuck queued execution IDs
execution_ids = await get_all_stuck_queued_execution_ids()
if not execution_ids:
return RequeueExecutionResponse(
success=True,
requeued_count=0,
message="No stuck queued executions to requeue",
)
# Get stuck executions by ID list (must be QUEUED)
executions = await get_graph_executions(
execution_ids=execution_ids,
statuses=[AgentExecutionStatus.QUEUED],
)
# Requeue all in parallel using add_graph_execution
async def requeue_one(exec) -> bool:
try:
await add_graph_execution(
graph_id=exec.graph_id,
user_id=exec.user_id,
graph_version=exec.graph_version,
graph_exec_id=exec.id, # Requeue existing
)
return True
except Exception as e:
logger.error(f"Failed to requeue {exec.id}: {e}")
return False
results = await asyncio.gather(
*[requeue_one(exec) for exec in executions], return_exceptions=False
)
requeued_count = sum(1 for success in results if success)
return RequeueExecutionResponse(
success=requeued_count > 0,
requeued_count=requeued_count,
message=f"Requeued {requeued_count} stuck executions",
)

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from datetime import datetime, timezone
from unittest.mock import AsyncMock
import fastapi
import fastapi.testclient
import pytest
import pytest_mock
from autogpt_libs.auth.jwt_utils import get_jwt_payload
from prisma.enums import AgentExecutionStatus
import backend.api.features.admin.diagnostics_admin_routes as diagnostics_admin_routes
from backend.data.diagnostics import (
AgentDiagnosticsSummary,
ExecutionDiagnosticsSummary,
FailedExecutionDetail,
OrphanedScheduleDetail,
RunningExecutionDetail,
ScheduleDetail,
ScheduleHealthMetrics,
)
from backend.data.execution import GraphExecutionMeta
app = fastapi.FastAPI()
app.include_router(diagnostics_admin_routes.router)
client = fastapi.testclient.TestClient(app)
@pytest.fixture(autouse=True)
def setup_app_admin_auth(mock_jwt_admin):
"""Setup admin auth overrides for all tests in this module"""
app.dependency_overrides[get_jwt_payload] = mock_jwt_admin["get_jwt_payload"]
yield
app.dependency_overrides.clear()
def test_get_execution_diagnostics_success(
mocker: pytest_mock.MockFixture,
):
"""Test fetching execution diagnostics with invalid state detection"""
mock_diagnostics = ExecutionDiagnosticsSummary(
running_count=10,
queued_db_count=5,
rabbitmq_queue_depth=3,
cancel_queue_depth=0,
orphaned_running=2,
orphaned_queued=1,
failed_count_1h=5,
failed_count_24h=20,
failure_rate_24h=0.83,
stuck_running_24h=1,
stuck_running_1h=3,
oldest_running_hours=26.5,
stuck_queued_1h=2,
queued_never_started=1,
invalid_queued_with_start=1, # New invalid state
invalid_running_without_start=1, # New invalid state
completed_1h=50,
completed_24h=1200,
throughput_per_hour=50.0,
timestamp=datetime.now(timezone.utc).isoformat(),
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_execution_diagnostics",
return_value=mock_diagnostics,
)
response = client.get("/admin/diagnostics/executions")
assert response.status_code == 200
data = response.json()
# Verify new invalid state fields are included
assert data["invalid_queued_with_start"] == 1
assert data["invalid_running_without_start"] == 1
# Verify all expected fields present
assert "running_executions" in data
assert "orphaned_running" in data
assert "failed_count_24h" in data
def test_list_invalid_executions(
mocker: pytest_mock.MockFixture,
):
"""Test listing executions in invalid states (read-only endpoint)"""
mock_invalid_executions = [
RunningExecutionDetail(
execution_id="exec-invalid-1",
graph_id="graph-123",
graph_name="Test Graph",
graph_version=1,
user_id="user-123",
user_email="test@example.com",
status="QUEUED",
created_at=datetime.now(timezone.utc),
started_at=datetime.now(
timezone.utc
), # QUEUED but has startedAt - INVALID!
queue_status=None,
),
RunningExecutionDetail(
execution_id="exec-invalid-2",
graph_id="graph-456",
graph_name="Another Graph",
graph_version=2,
user_id="user-456",
user_email="user@example.com",
status="RUNNING",
created_at=datetime.now(timezone.utc),
started_at=None, # RUNNING but no startedAt - INVALID!
queue_status=None,
),
]
mock_diagnostics = ExecutionDiagnosticsSummary(
running_count=10,
queued_db_count=5,
rabbitmq_queue_depth=3,
cancel_queue_depth=0,
orphaned_running=0,
orphaned_queued=0,
failed_count_1h=0,
failed_count_24h=0,
failure_rate_24h=0.0,
stuck_running_24h=0,
stuck_running_1h=0,
oldest_running_hours=None,
stuck_queued_1h=0,
queued_never_started=0,
invalid_queued_with_start=1,
invalid_running_without_start=1,
completed_1h=0,
completed_24h=0,
throughput_per_hour=0.0,
timestamp=datetime.now(timezone.utc).isoformat(),
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_invalid_executions_details",
return_value=mock_invalid_executions,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_execution_diagnostics",
return_value=mock_diagnostics,
)
response = client.get("/admin/diagnostics/executions/invalid?limit=100&offset=0")
assert response.status_code == 200
data = response.json()
assert data["total"] == 2 # Sum of both invalid state types
assert len(data["executions"]) == 2
# Verify both types of invalid states are returned
assert data["executions"][0]["execution_id"] in [
"exec-invalid-1",
"exec-invalid-2",
]
assert data["executions"][1]["execution_id"] in [
"exec-invalid-1",
"exec-invalid-2",
]
def test_requeue_single_execution_with_add_graph_execution(
mocker: pytest_mock.MockFixture,
admin_user_id: str,
):
"""Test requeueing uses add_graph_execution in requeue mode"""
mock_exec_meta = GraphExecutionMeta(
id="exec-stuck-123",
user_id="user-123",
graph_id="graph-456",
graph_version=1,
inputs=None,
credential_inputs=None,
nodes_input_masks=None,
preset_id=None,
status=AgentExecutionStatus.QUEUED,
started_at=datetime.now(timezone.utc),
ended_at=datetime.now(timezone.utc),
stats=None,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_graph_executions",
return_value=[mock_exec_meta],
)
mock_add_graph_execution = mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.add_graph_execution",
return_value=AsyncMock(),
)
response = client.post(
"/admin/diagnostics/executions/requeue",
json={"execution_id": "exec-stuck-123"},
)
assert response.status_code == 200
data = response.json()
assert data["success"] is True
assert data["requeued_count"] == 1
# Verify it used add_graph_execution in requeue mode
mock_add_graph_execution.assert_called_once()
call_kwargs = mock_add_graph_execution.call_args.kwargs
assert call_kwargs["graph_exec_id"] == "exec-stuck-123" # Requeue mode!
assert call_kwargs["graph_id"] == "graph-456"
assert call_kwargs["user_id"] == "user-123"
def test_stop_single_execution_with_stop_graph_execution(
mocker: pytest_mock.MockFixture,
admin_user_id: str,
):
"""Test stopping uses robust stop_graph_execution"""
mock_exec_meta = GraphExecutionMeta(
id="exec-running-123",
user_id="user-789",
graph_id="graph-999",
graph_version=2,
inputs=None,
credential_inputs=None,
nodes_input_masks=None,
preset_id=None,
status=AgentExecutionStatus.RUNNING,
started_at=datetime.now(timezone.utc),
ended_at=datetime.now(timezone.utc),
stats=None,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_graph_executions",
return_value=[mock_exec_meta],
)
mock_stop_graph_execution = mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.stop_graph_execution",
return_value=AsyncMock(),
)
response = client.post(
"/admin/diagnostics/executions/stop",
json={"execution_id": "exec-running-123"},
)
assert response.status_code == 200
data = response.json()
assert data["success"] is True
assert data["stopped_count"] == 1
# Verify it used stop_graph_execution with cascade
mock_stop_graph_execution.assert_called_once()
call_kwargs = mock_stop_graph_execution.call_args.kwargs
assert call_kwargs["graph_exec_id"] == "exec-running-123"
assert call_kwargs["user_id"] == "user-789"
assert call_kwargs["cascade"] is True # Stops children too!
assert call_kwargs["wait_timeout"] == 15.0
def test_requeue_not_queued_execution_fails(
mocker: pytest_mock.MockFixture,
):
"""Test that requeue fails if execution is not in QUEUED status"""
# Mock an execution that's RUNNING (not QUEUED)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_graph_executions",
return_value=[], # No QUEUED executions found
)
response = client.post(
"/admin/diagnostics/executions/requeue",
json={"execution_id": "exec-running-123"},
)
assert response.status_code == 404
assert "not found or not in QUEUED status" in response.json()["detail"]
def test_list_invalid_executions_no_bulk_actions(
mocker: pytest_mock.MockFixture,
):
"""Verify invalid executions endpoint is read-only (no bulk actions)"""
# This is a documentation test - the endpoint exists but should not
# have corresponding cleanup/stop/requeue endpoints
# These endpoints should NOT exist for invalid states:
invalid_bulk_endpoints = [
"/admin/diagnostics/executions/cleanup-invalid",
"/admin/diagnostics/executions/stop-invalid",
"/admin/diagnostics/executions/requeue-invalid",
]
for endpoint in invalid_bulk_endpoints:
response = client.post(endpoint, json={"execution_ids": ["test"]})
assert response.status_code == 404, f"{endpoint} should not exist (read-only)"
def test_execution_ids_filter_efficiency(
mocker: pytest_mock.MockFixture,
):
"""Test that bulk operations use efficient execution_ids filter"""
mock_exec_metas = [
GraphExecutionMeta(
id=f"exec-{i}",
user_id=f"user-{i}",
graph_id="graph-123",
graph_version=1,
inputs=None,
credential_inputs=None,
nodes_input_masks=None,
preset_id=None,
status=AgentExecutionStatus.QUEUED,
started_at=datetime.now(timezone.utc),
ended_at=datetime.now(timezone.utc),
stats=None,
)
for i in range(3)
]
mock_get_graph_executions = mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_graph_executions",
return_value=mock_exec_metas,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.add_graph_execution",
return_value=AsyncMock(),
)
response = client.post(
"/admin/diagnostics/executions/requeue-bulk",
json={"execution_ids": ["exec-0", "exec-1", "exec-2"]},
)
assert response.status_code == 200
# Verify it used execution_ids filter (not fetching all queued)
mock_get_graph_executions.assert_called_once()
call_kwargs = mock_get_graph_executions.call_args.kwargs
assert "execution_ids" in call_kwargs
assert call_kwargs["execution_ids"] == ["exec-0", "exec-1", "exec-2"]
assert call_kwargs["statuses"] == [AgentExecutionStatus.QUEUED]
# ---------------------------------------------------------------------------
# Helper: reusable mock diagnostics summary
# ---------------------------------------------------------------------------
def _make_mock_diagnostics(**overrides) -> ExecutionDiagnosticsSummary:
defaults = dict(
running_count=10,
queued_db_count=5,
rabbitmq_queue_depth=3,
cancel_queue_depth=0,
orphaned_running=2,
orphaned_queued=1,
failed_count_1h=5,
failed_count_24h=20,
failure_rate_24h=0.83,
stuck_running_24h=3,
stuck_running_1h=5,
oldest_running_hours=26.5,
stuck_queued_1h=2,
queued_never_started=1,
invalid_queued_with_start=1,
invalid_running_without_start=1,
completed_1h=50,
completed_24h=1200,
throughput_per_hour=50.0,
timestamp=datetime.now(timezone.utc).isoformat(),
)
defaults.update(overrides)
return ExecutionDiagnosticsSummary(**defaults)
_SENTINEL = object()
def _make_mock_execution(
exec_id: str = "exec-1",
status: str = "RUNNING",
started_at: datetime | None | object = _SENTINEL,
) -> RunningExecutionDetail:
return RunningExecutionDetail(
execution_id=exec_id,
graph_id="graph-123",
graph_name="Test Graph",
graph_version=1,
user_id="user-123",
user_email="test@example.com",
status=status,
created_at=datetime.now(timezone.utc),
started_at=(
datetime.now(timezone.utc) if started_at is _SENTINEL else started_at
),
queue_status=None,
)
def _make_mock_failed_execution(
exec_id: str = "exec-fail-1",
) -> FailedExecutionDetail:
return FailedExecutionDetail(
execution_id=exec_id,
graph_id="graph-123",
graph_name="Test Graph",
graph_version=1,
user_id="user-123",
user_email="test@example.com",
status="FAILED",
created_at=datetime.now(timezone.utc),
started_at=datetime.now(timezone.utc),
failed_at=datetime.now(timezone.utc),
error_message="Something went wrong",
)
def _make_mock_schedule_health(**overrides) -> ScheduleHealthMetrics:
defaults = dict(
total_schedules=15,
user_schedules=10,
system_schedules=5,
orphaned_deleted_graph=2,
orphaned_no_library_access=1,
orphaned_invalid_credentials=0,
orphaned_validation_failed=0,
total_orphaned=3,
schedules_next_hour=4,
schedules_next_24h=8,
total_runs_next_hour=12,
total_runs_next_24h=48,
timestamp=datetime.now(timezone.utc).isoformat(),
)
defaults.update(overrides)
return ScheduleHealthMetrics(**defaults)
# ---------------------------------------------------------------------------
# GET endpoints: execution list variants
# ---------------------------------------------------------------------------
def test_list_running_executions(mocker: pytest_mock.MockFixture):
mock_execs = [
_make_mock_execution("exec-run-1"),
_make_mock_execution("exec-run-2"),
]
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_running_executions_details",
return_value=mock_execs,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_execution_diagnostics",
return_value=_make_mock_diagnostics(),
)
response = client.get("/admin/diagnostics/executions/running?limit=50&offset=0")
assert response.status_code == 200
data = response.json()
assert data["total"] == 15 # running_count(10) + queued_db_count(5)
assert len(data["executions"]) == 2
assert data["executions"][0]["execution_id"] == "exec-run-1"
def test_list_orphaned_executions(mocker: pytest_mock.MockFixture):
mock_execs = [_make_mock_execution("exec-orphan-1", status="RUNNING")]
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_orphaned_executions_details",
return_value=mock_execs,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_execution_diagnostics",
return_value=_make_mock_diagnostics(),
)
response = client.get("/admin/diagnostics/executions/orphaned?limit=50&offset=0")
assert response.status_code == 200
data = response.json()
assert data["total"] == 3 # orphaned_running(2) + orphaned_queued(1)
assert len(data["executions"]) == 1
def test_list_failed_executions(mocker: pytest_mock.MockFixture):
mock_execs = [_make_mock_failed_execution("exec-fail-1")]
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_failed_executions_details",
return_value=mock_execs,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_failed_executions_count",
return_value=42,
)
response = client.get(
"/admin/diagnostics/executions/failed?limit=50&offset=0&hours=24"
)
assert response.status_code == 200
data = response.json()
assert data["total"] == 42
assert len(data["executions"]) == 1
assert data["executions"][0]["error_message"] == "Something went wrong"
def test_list_long_running_executions(mocker: pytest_mock.MockFixture):
mock_execs = [_make_mock_execution("exec-long-1")]
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_long_running_executions_details",
return_value=mock_execs,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_execution_diagnostics",
return_value=_make_mock_diagnostics(),
)
response = client.get(
"/admin/diagnostics/executions/long-running?limit=50&offset=0"
)
assert response.status_code == 200
data = response.json()
assert data["total"] == 3 # stuck_running_24h
assert len(data["executions"]) == 1
def test_list_stuck_queued_executions(mocker: pytest_mock.MockFixture):
mock_execs = [
_make_mock_execution("exec-stuck-1", status="QUEUED", started_at=None)
]
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_stuck_queued_executions_details",
return_value=mock_execs,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_execution_diagnostics",
return_value=_make_mock_diagnostics(),
)
response = client.get(
"/admin/diagnostics/executions/stuck-queued?limit=50&offset=0"
)
assert response.status_code == 200
data = response.json()
assert data["total"] == 2 # stuck_queued_1h
assert len(data["executions"]) == 1
# ---------------------------------------------------------------------------
# GET endpoints: agent + schedule diagnostics
# ---------------------------------------------------------------------------
def test_get_agent_diagnostics(mocker: pytest_mock.MockFixture):
mock_diag = AgentDiagnosticsSummary(
agents_with_active_executions=7,
timestamp=datetime.now(timezone.utc).isoformat(),
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_agent_diagnostics",
return_value=mock_diag,
)
response = client.get("/admin/diagnostics/agents")
assert response.status_code == 200
data = response.json()
assert data["agents_with_active_executions"] == 7
def test_get_schedule_diagnostics(mocker: pytest_mock.MockFixture):
mock_metrics = _make_mock_schedule_health()
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_schedule_health_metrics",
return_value=mock_metrics,
)
response = client.get("/admin/diagnostics/schedules")
assert response.status_code == 200
data = response.json()
assert data["user_schedules"] == 10
assert data["total_orphaned"] == 3
assert data["total_runs_next_hour"] == 12
def test_list_all_schedules(mocker: pytest_mock.MockFixture):
mock_schedules = [
ScheduleDetail(
schedule_id="sched-1",
schedule_name="Daily Run",
graph_id="graph-1",
graph_name="My Agent",
graph_version=1,
user_id="user-1",
user_email="alice@example.com",
cron="0 9 * * *",
timezone="UTC",
next_run_time=datetime.now(timezone.utc).isoformat(),
),
]
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_all_schedules_details",
return_value=mock_schedules,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_schedule_health_metrics",
return_value=_make_mock_schedule_health(),
)
response = client.get("/admin/diagnostics/schedules/all?limit=50&offset=0")
assert response.status_code == 200
data = response.json()
assert data["total"] == 10
assert len(data["schedules"]) == 1
assert data["schedules"][0]["schedule_name"] == "Daily Run"
def test_list_orphaned_schedules(mocker: pytest_mock.MockFixture):
mock_orphans = [
OrphanedScheduleDetail(
schedule_id="sched-orphan-1",
schedule_name="Ghost Schedule",
graph_id="graph-deleted",
graph_version=1,
user_id="user-1",
orphan_reason="deleted_graph",
error_detail=None,
next_run_time=datetime.now(timezone.utc).isoformat(),
),
]
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_orphaned_schedules_details",
return_value=mock_orphans,
)
response = client.get("/admin/diagnostics/schedules/orphaned")
assert response.status_code == 200
data = response.json()
assert data["total"] == 1
assert data["schedules"][0]["orphan_reason"] == "deleted_graph"
# ---------------------------------------------------------------------------
# POST endpoints: bulk stop, cleanup, requeue
# ---------------------------------------------------------------------------
def test_stop_multiple_executions(mocker: pytest_mock.MockFixture):
mock_exec_metas = [
GraphExecutionMeta(
id=f"exec-{i}",
user_id=f"user-{i}",
graph_id="graph-123",
graph_version=1,
inputs=None,
credential_inputs=None,
nodes_input_masks=None,
preset_id=None,
status=AgentExecutionStatus.RUNNING,
started_at=datetime.now(timezone.utc),
ended_at=None,
stats=None,
)
for i in range(2)
]
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_graph_executions",
return_value=mock_exec_metas,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.stop_graph_execution",
return_value=AsyncMock(),
)
response = client.post(
"/admin/diagnostics/executions/stop-bulk",
json={"execution_ids": ["exec-0", "exec-1"]},
)
assert response.status_code == 200
data = response.json()
assert data["success"] is True
assert data["stopped_count"] == 2
def test_stop_multiple_executions_none_found(mocker: pytest_mock.MockFixture):
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_graph_executions",
return_value=[],
)
response = client.post(
"/admin/diagnostics/executions/stop-bulk",
json={"execution_ids": ["nonexistent"]},
)
assert response.status_code == 200
data = response.json()
assert data["success"] is False
assert data["stopped_count"] == 0
def test_cleanup_orphaned_executions(mocker: pytest_mock.MockFixture):
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.cleanup_orphaned_executions_bulk",
return_value=3,
)
response = client.post(
"/admin/diagnostics/executions/cleanup-orphaned",
json={"execution_ids": ["exec-1", "exec-2", "exec-3"]},
)
assert response.status_code == 200
data = response.json()
assert data["success"] is True
assert data["stopped_count"] == 3
def test_cleanup_orphaned_schedules(mocker: pytest_mock.MockFixture):
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.cleanup_orphaned_schedules_bulk",
return_value=2,
)
response = client.post(
"/admin/diagnostics/schedules/cleanup-orphaned",
json={"schedule_ids": ["sched-1", "sched-2"]},
)
assert response.status_code == 200
data = response.json()
assert data["success"] is True
assert data["deleted_count"] == 2
def test_stop_all_long_running_executions(mocker: pytest_mock.MockFixture):
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.stop_all_long_running_executions",
return_value=5,
)
response = client.post("/admin/diagnostics/executions/stop-all-long-running")
assert response.status_code == 200
data = response.json()
assert data["success"] is True
assert data["stopped_count"] == 5
def test_cleanup_all_orphaned_executions(mocker: pytest_mock.MockFixture):
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_all_orphaned_execution_ids",
return_value=["exec-1", "exec-2"],
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.cleanup_orphaned_executions_bulk",
return_value=2,
)
response = client.post("/admin/diagnostics/executions/cleanup-all-orphaned")
assert response.status_code == 200
data = response.json()
assert data["success"] is True
assert data["stopped_count"] == 2
def test_cleanup_all_orphaned_executions_none(mocker: pytest_mock.MockFixture):
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_all_orphaned_execution_ids",
return_value=[],
)
response = client.post("/admin/diagnostics/executions/cleanup-all-orphaned")
assert response.status_code == 200
data = response.json()
assert data["success"] is True
assert data["stopped_count"] == 0
assert "No orphaned" in data["message"]
def test_cleanup_all_stuck_queued_executions(mocker: pytest_mock.MockFixture):
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.cleanup_all_stuck_queued_executions",
return_value=4,
)
response = client.post("/admin/diagnostics/executions/cleanup-all-stuck-queued")
assert response.status_code == 200
data = response.json()
assert data["success"] is True
assert data["stopped_count"] == 4
def test_requeue_all_stuck_executions(mocker: pytest_mock.MockFixture):
mock_exec_metas = [
GraphExecutionMeta(
id=f"exec-stuck-{i}",
user_id=f"user-{i}",
graph_id="graph-123",
graph_version=1,
inputs=None,
credential_inputs=None,
nodes_input_masks=None,
preset_id=None,
status=AgentExecutionStatus.QUEUED,
started_at=None,
ended_at=None,
stats=None,
)
for i in range(3)
]
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_all_stuck_queued_execution_ids",
return_value=["exec-stuck-0", "exec-stuck-1", "exec-stuck-2"],
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_graph_executions",
return_value=mock_exec_metas,
)
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.add_graph_execution",
return_value=AsyncMock(),
)
response = client.post("/admin/diagnostics/executions/requeue-all-stuck")
assert response.status_code == 200
data = response.json()
assert data["success"] is True
assert data["requeued_count"] == 3
def test_requeue_all_stuck_executions_none(mocker: pytest_mock.MockFixture):
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_all_stuck_queued_execution_ids",
return_value=[],
)
response = client.post("/admin/diagnostics/executions/requeue-all-stuck")
assert response.status_code == 200
data = response.json()
assert data["success"] is True
assert data["requeued_count"] == 0
assert "No stuck" in data["message"]
def test_requeue_bulk_none_found(mocker: pytest_mock.MockFixture):
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_graph_executions",
return_value=[],
)
response = client.post(
"/admin/diagnostics/executions/requeue-bulk",
json={"execution_ids": ["nonexistent"]},
)
assert response.status_code == 200
data = response.json()
assert data["success"] is False
assert data["requeued_count"] == 0
def test_stop_single_execution_not_found(mocker: pytest_mock.MockFixture):
mocker.patch(
"backend.api.features.admin.diagnostics_admin_routes.get_graph_executions",
return_value=[],
)
response = client.post(
"/admin/diagnostics/executions/stop",
json={"execution_id": "nonexistent"},
)
assert response.status_code == 404
assert "not found" in response.json()["detail"]

View File

@@ -14,3 +14,70 @@ class UserHistoryResponse(BaseModel):
class AddUserCreditsResponse(BaseModel):
new_balance: int
transaction_key: str
class ExecutionDiagnosticsResponse(BaseModel):
"""Response model for execution diagnostics"""
# Current execution state
running_executions: int
queued_executions_db: int
queued_executions_rabbitmq: int
cancel_queue_depth: int
# Orphaned execution detection
orphaned_running: int
orphaned_queued: int
# Failure metrics
failed_count_1h: int
failed_count_24h: int
failure_rate_24h: float
# Long-running detection
stuck_running_24h: int
stuck_running_1h: int
oldest_running_hours: float | None
# Stuck queued detection
stuck_queued_1h: int
queued_never_started: int
# Invalid state detection (data corruption - no auto-actions)
invalid_queued_with_start: int
invalid_running_without_start: int
# Throughput metrics
completed_1h: int
completed_24h: int
throughput_per_hour: float
timestamp: str
class AgentDiagnosticsResponse(BaseModel):
"""Response model for agent diagnostics"""
agents_with_active_executions: int
timestamp: str
class ScheduleHealthMetrics(BaseModel):
"""Response model for schedule diagnostics"""
total_schedules: int
user_schedules: int
system_schedules: int
# Orphan detection
orphaned_deleted_graph: int
orphaned_no_library_access: int
orphaned_invalid_credentials: int
orphaned_validation_failed: int
total_orphaned: int
# Upcoming
schedules_next_hour: int
schedules_next_24h: int
timestamp: str

View File

@@ -0,0 +1,141 @@
import logging
from datetime import datetime
from autogpt_libs.auth import get_user_id, requires_admin_user
from fastapi import APIRouter, Query, Security
from pydantic import BaseModel
from backend.data.platform_cost import (
CostLogRow,
PlatformCostDashboard,
get_platform_cost_dashboard,
get_platform_cost_logs,
get_platform_cost_logs_for_export,
)
from backend.util.models import Pagination
logger = logging.getLogger(__name__)
router = APIRouter(
prefix="/platform-costs",
tags=["platform-cost", "admin"],
dependencies=[Security(requires_admin_user)],
)
class PlatformCostLogsResponse(BaseModel):
logs: list[CostLogRow]
pagination: Pagination
@router.get(
"/dashboard",
response_model=PlatformCostDashboard,
summary="Get Platform Cost Dashboard",
)
async def get_cost_dashboard(
admin_user_id: str = Security(get_user_id),
start: datetime | None = Query(None),
end: datetime | None = Query(None),
provider: str | None = Query(None),
user_id: str | None = Query(None),
model: str | None = Query(None),
block_name: str | None = Query(None),
tracking_type: str | None = Query(None),
graph_exec_id: str | None = Query(None),
):
logger.info("Admin %s fetching platform cost dashboard", admin_user_id)
return await get_platform_cost_dashboard(
start=start,
end=end,
provider=provider,
user_id=user_id,
model=model,
block_name=block_name,
tracking_type=tracking_type,
graph_exec_id=graph_exec_id,
)
@router.get(
"/logs",
response_model=PlatformCostLogsResponse,
summary="Get Platform Cost Logs",
)
async def get_cost_logs(
admin_user_id: str = Security(get_user_id),
start: datetime | None = Query(None),
end: datetime | None = Query(None),
provider: str | None = Query(None),
user_id: str | None = Query(None),
page: int = Query(1, ge=1),
page_size: int = Query(50, ge=1, le=200),
model: str | None = Query(None),
block_name: str | None = Query(None),
tracking_type: str | None = Query(None),
graph_exec_id: str | None = Query(None),
):
logger.info("Admin %s fetching platform cost logs", admin_user_id)
logs, total = await get_platform_cost_logs(
start=start,
end=end,
provider=provider,
user_id=user_id,
page=page,
page_size=page_size,
model=model,
block_name=block_name,
tracking_type=tracking_type,
graph_exec_id=graph_exec_id,
)
total_pages = (total + page_size - 1) // page_size
return PlatformCostLogsResponse(
logs=logs,
pagination=Pagination(
total_items=total,
total_pages=total_pages,
current_page=page,
page_size=page_size,
),
)
class PlatformCostExportResponse(BaseModel):
logs: list[CostLogRow]
total_rows: int
truncated: bool
@router.get(
"/logs/export",
response_model=PlatformCostExportResponse,
summary="Export Platform Cost Logs",
)
async def export_cost_logs(
admin_user_id: str = Security(get_user_id),
start: datetime | None = Query(None),
end: datetime | None = Query(None),
provider: str | None = Query(None),
user_id: str | None = Query(None),
model: str | None = Query(None),
block_name: str | None = Query(None),
tracking_type: str | None = Query(None),
graph_exec_id: str | None = Query(None),
):
logger.info("Admin %s exporting platform cost logs", admin_user_id)
logs, truncated = await get_platform_cost_logs_for_export(
start=start,
end=end,
provider=provider,
user_id=user_id,
model=model,
block_name=block_name,
tracking_type=tracking_type,
graph_exec_id=graph_exec_id,
)
return PlatformCostExportResponse(
logs=logs,
total_rows=len(logs),
truncated=truncated,
)

View File

@@ -0,0 +1,291 @@
from datetime import datetime, timezone
from unittest.mock import AsyncMock
import fastapi
import fastapi.testclient
import pytest
import pytest_mock
from autogpt_libs.auth.jwt_utils import get_jwt_payload
from backend.data.platform_cost import CostLogRow, PlatformCostDashboard
from .platform_cost_routes import router as platform_cost_router
app = fastapi.FastAPI()
app.include_router(platform_cost_router)
client = fastapi.testclient.TestClient(app)
@pytest.fixture(autouse=True)
def setup_app_admin_auth(mock_jwt_admin):
"""Setup admin auth overrides for all tests in this module"""
app.dependency_overrides[get_jwt_payload] = mock_jwt_admin["get_jwt_payload"]
yield
app.dependency_overrides.clear()
def test_get_dashboard_success(
mocker: pytest_mock.MockerFixture,
) -> None:
real_dashboard = PlatformCostDashboard(
by_provider=[],
by_user=[],
total_cost_microdollars=0,
total_requests=0,
total_users=0,
)
mocker.patch(
"backend.api.features.admin.platform_cost_routes.get_platform_cost_dashboard",
AsyncMock(return_value=real_dashboard),
)
response = client.get("/platform-costs/dashboard")
assert response.status_code == 200
data = response.json()
assert "by_provider" in data
assert "by_user" in data
assert data["total_cost_microdollars"] == 0
def test_get_logs_success(
mocker: pytest_mock.MockerFixture,
) -> None:
mocker.patch(
"backend.api.features.admin.platform_cost_routes.get_platform_cost_logs",
AsyncMock(return_value=([], 0)),
)
response = client.get("/platform-costs/logs")
assert response.status_code == 200
data = response.json()
assert data["logs"] == []
assert data["pagination"]["total_items"] == 0
def test_get_dashboard_with_filters(
mocker: pytest_mock.MockerFixture,
) -> None:
real_dashboard = PlatformCostDashboard(
by_provider=[],
by_user=[],
total_cost_microdollars=0,
total_requests=0,
total_users=0,
)
mock_dashboard = AsyncMock(return_value=real_dashboard)
mocker.patch(
"backend.api.features.admin.platform_cost_routes.get_platform_cost_dashboard",
mock_dashboard,
)
response = client.get(
"/platform-costs/dashboard",
params={
"start": "2026-01-01T00:00:00",
"end": "2026-04-01T00:00:00",
"provider": "openai",
"user_id": "test-user-123",
},
)
assert response.status_code == 200
mock_dashboard.assert_called_once()
call_kwargs = mock_dashboard.call_args.kwargs
assert call_kwargs["provider"] == "openai"
assert call_kwargs["user_id"] == "test-user-123"
assert call_kwargs["start"] is not None
assert call_kwargs["end"] is not None
def test_get_logs_with_pagination(
mocker: pytest_mock.MockerFixture,
) -> None:
mocker.patch(
"backend.api.features.admin.platform_cost_routes.get_platform_cost_logs",
AsyncMock(return_value=([], 0)),
)
response = client.get(
"/platform-costs/logs",
params={"page": 2, "page_size": 25, "provider": "anthropic"},
)
assert response.status_code == 200
data = response.json()
assert data["pagination"]["current_page"] == 2
assert data["pagination"]["page_size"] == 25
def test_get_dashboard_requires_admin() -> None:
import fastapi
from fastapi import HTTPException
def reject_jwt(request: fastapi.Request):
raise HTTPException(status_code=401, detail="Not authenticated")
app.dependency_overrides[get_jwt_payload] = reject_jwt
try:
response = client.get("/platform-costs/dashboard")
assert response.status_code == 401
response = client.get("/platform-costs/logs")
assert response.status_code == 401
finally:
app.dependency_overrides.clear()
def test_get_dashboard_rejects_non_admin(mock_jwt_user, mock_jwt_admin) -> None:
"""Non-admin JWT must be rejected with 403 by requires_admin_user."""
app.dependency_overrides[get_jwt_payload] = mock_jwt_user["get_jwt_payload"]
try:
response = client.get("/platform-costs/dashboard")
assert response.status_code == 403
response = client.get("/platform-costs/logs")
assert response.status_code == 403
finally:
app.dependency_overrides[get_jwt_payload] = mock_jwt_admin["get_jwt_payload"]
def test_get_logs_invalid_page_size_too_large() -> None:
"""page_size > 200 must be rejected with 422."""
response = client.get("/platform-costs/logs", params={"page_size": 201})
assert response.status_code == 422
def test_get_logs_invalid_page_size_zero() -> None:
"""page_size = 0 (below ge=1) must be rejected with 422."""
response = client.get("/platform-costs/logs", params={"page_size": 0})
assert response.status_code == 422
def test_get_logs_invalid_page_negative() -> None:
"""page < 1 must be rejected with 422."""
response = client.get("/platform-costs/logs", params={"page": 0})
assert response.status_code == 422
def test_get_dashboard_invalid_date_format() -> None:
"""Malformed start date must be rejected with 422."""
response = client.get("/platform-costs/dashboard", params={"start": "not-a-date"})
assert response.status_code == 422
def test_get_dashboard_repeated_requests(
mocker: pytest_mock.MockerFixture,
) -> None:
"""Repeated requests to the dashboard route both return 200."""
real_dashboard = PlatformCostDashboard(
by_provider=[],
by_user=[],
total_cost_microdollars=42,
total_requests=1,
total_users=1,
)
mocker.patch(
"backend.api.features.admin.platform_cost_routes.get_platform_cost_dashboard",
AsyncMock(return_value=real_dashboard),
)
r1 = client.get("/platform-costs/dashboard")
r2 = client.get("/platform-costs/dashboard")
assert r1.status_code == 200
assert r2.status_code == 200
assert r1.json()["total_cost_microdollars"] == 42
assert r2.json()["total_cost_microdollars"] == 42
def _make_cost_log_row() -> CostLogRow:
return CostLogRow(
id="log-1",
created_at=datetime(2026, 1, 1, tzinfo=timezone.utc),
user_id="user-1",
email="u***@example.com",
graph_exec_id="graph-1",
node_exec_id="node-1",
block_name="LlmCallBlock",
provider="anthropic",
tracking_type="token",
cost_microdollars=500,
input_tokens=100,
output_tokens=50,
cache_read_tokens=10,
cache_creation_tokens=5,
duration=1.5,
model="claude-3-5-sonnet-20241022",
)
def test_export_logs_success(
mocker: pytest_mock.MockerFixture,
) -> None:
row = _make_cost_log_row()
mocker.patch(
"backend.api.features.admin.platform_cost_routes.get_platform_cost_logs_for_export",
AsyncMock(return_value=([row], False)),
)
response = client.get("/platform-costs/logs/export")
assert response.status_code == 200
data = response.json()
assert data["total_rows"] == 1
assert data["truncated"] is False
assert len(data["logs"]) == 1
assert data["logs"][0]["cache_read_tokens"] == 10
assert data["logs"][0]["cache_creation_tokens"] == 5
def test_export_logs_truncated(
mocker: pytest_mock.MockerFixture,
) -> None:
rows = [_make_cost_log_row() for _ in range(3)]
mocker.patch(
"backend.api.features.admin.platform_cost_routes.get_platform_cost_logs_for_export",
AsyncMock(return_value=(rows, True)),
)
response = client.get("/platform-costs/logs/export")
assert response.status_code == 200
data = response.json()
assert data["total_rows"] == 3
assert data["truncated"] is True
def test_export_logs_with_filters(
mocker: pytest_mock.MockerFixture,
) -> None:
mock_export = AsyncMock(return_value=([], False))
mocker.patch(
"backend.api.features.admin.platform_cost_routes.get_platform_cost_logs_for_export",
mock_export,
)
response = client.get(
"/platform-costs/logs/export",
params={
"provider": "anthropic",
"model": "claude-3-5-sonnet-20241022",
"block_name": "LlmCallBlock",
"tracking_type": "token",
},
)
assert response.status_code == 200
mock_export.assert_called_once()
call_kwargs = mock_export.call_args.kwargs
assert call_kwargs["provider"] == "anthropic"
assert call_kwargs["model"] == "claude-3-5-sonnet-20241022"
assert call_kwargs["block_name"] == "LlmCallBlock"
assert call_kwargs["tracking_type"] == "token"
def test_export_logs_requires_admin() -> None:
import fastapi
from fastapi import HTTPException
def reject_jwt(request: fastapi.Request):
raise HTTPException(status_code=401, detail="Not authenticated")
app.dependency_overrides[get_jwt_payload] = reject_jwt
try:
response = client.get("/platform-costs/logs/export")
assert response.status_code == 401
finally:
app.dependency_overrides.clear()

View File

@@ -9,11 +9,14 @@ from pydantic import BaseModel
from backend.copilot.config import ChatConfig
from backend.copilot.rate_limit import (
SubscriptionTier,
get_global_rate_limits,
get_usage_status,
get_user_tier,
reset_user_usage,
set_user_tier,
)
from backend.data.user import get_user_by_email, get_user_email_by_id
from backend.data.user import get_user_by_email, get_user_email_by_id, search_users
logger = logging.getLogger(__name__)
@@ -29,10 +32,21 @@ router = APIRouter(
class UserRateLimitResponse(BaseModel):
user_id: str
user_email: Optional[str] = None
daily_token_limit: int
weekly_token_limit: int
daily_tokens_used: int
weekly_tokens_used: int
daily_cost_limit_microdollars: int
weekly_cost_limit_microdollars: int
daily_cost_used_microdollars: int
weekly_cost_used_microdollars: int
tier: SubscriptionTier
class UserTierResponse(BaseModel):
user_id: str
tier: SubscriptionTier
class SetUserTierRequest(BaseModel):
user_id: str
tier: SubscriptionTier
async def _resolve_user_id(
@@ -86,18 +100,21 @@ async def get_user_rate_limit(
logger.info("Admin %s checking rate limit for user %s", admin_user_id, resolved_id)
daily_limit, weekly_limit = await get_global_rate_limits(
resolved_id, config.daily_token_limit, config.weekly_token_limit
daily_limit, weekly_limit, tier = await get_global_rate_limits(
resolved_id,
config.daily_cost_limit_microdollars,
config.weekly_cost_limit_microdollars,
)
usage = await get_usage_status(resolved_id, daily_limit, weekly_limit)
usage = await get_usage_status(resolved_id, daily_limit, weekly_limit, tier=tier)
return UserRateLimitResponse(
user_id=resolved_id,
user_email=resolved_email,
daily_token_limit=daily_limit,
weekly_token_limit=weekly_limit,
daily_tokens_used=usage.daily.used,
weekly_tokens_used=usage.weekly.used,
daily_cost_limit_microdollars=daily_limit,
weekly_cost_limit_microdollars=weekly_limit,
daily_cost_used_microdollars=usage.daily.used,
weekly_cost_used_microdollars=usage.weekly.used,
tier=tier,
)
@@ -125,10 +142,12 @@ async def reset_user_rate_limit(
logger.exception("Failed to reset user usage")
raise HTTPException(status_code=500, detail="Failed to reset usage") from e
daily_limit, weekly_limit = await get_global_rate_limits(
user_id, config.daily_token_limit, config.weekly_token_limit
daily_limit, weekly_limit, tier = await get_global_rate_limits(
user_id,
config.daily_cost_limit_microdollars,
config.weekly_cost_limit_microdollars,
)
usage = await get_usage_status(user_id, daily_limit, weekly_limit)
usage = await get_usage_status(user_id, daily_limit, weekly_limit, tier=tier)
try:
resolved_email = await get_user_email_by_id(user_id)
@@ -139,8 +158,106 @@ async def reset_user_rate_limit(
return UserRateLimitResponse(
user_id=user_id,
user_email=resolved_email,
daily_token_limit=daily_limit,
weekly_token_limit=weekly_limit,
daily_tokens_used=usage.daily.used,
weekly_tokens_used=usage.weekly.used,
daily_cost_limit_microdollars=daily_limit,
weekly_cost_limit_microdollars=weekly_limit,
daily_cost_used_microdollars=usage.daily.used,
weekly_cost_used_microdollars=usage.weekly.used,
tier=tier,
)
@router.get(
"/rate_limit/tier",
response_model=UserTierResponse,
summary="Get User Rate Limit Tier",
)
async def get_user_rate_limit_tier(
user_id: str,
admin_user_id: str = Security(get_user_id),
) -> UserTierResponse:
"""Get a user's current rate-limit tier. Admin-only.
Returns 404 if the user does not exist in the database.
"""
logger.info("Admin %s checking tier for user %s", admin_user_id, user_id)
resolved_email = await get_user_email_by_id(user_id)
if resolved_email is None:
raise HTTPException(status_code=404, detail=f"User {user_id} not found")
tier = await get_user_tier(user_id)
return UserTierResponse(user_id=user_id, tier=tier)
@router.post(
"/rate_limit/tier",
response_model=UserTierResponse,
summary="Set User Rate Limit Tier",
)
async def set_user_rate_limit_tier(
request: SetUserTierRequest,
admin_user_id: str = Security(get_user_id),
) -> UserTierResponse:
"""Set a user's rate-limit tier. Admin-only.
Returns 404 if the user does not exist in the database.
"""
try:
resolved_email = await get_user_email_by_id(request.user_id)
except Exception:
logger.warning(
"Failed to resolve email for user %s",
request.user_id,
exc_info=True,
)
resolved_email = None
if resolved_email is None:
raise HTTPException(status_code=404, detail=f"User {request.user_id} not found")
old_tier = await get_user_tier(request.user_id)
logger.info(
"Admin %s changing tier for user %s (%s): %s -> %s",
admin_user_id,
request.user_id,
resolved_email,
old_tier.value,
request.tier.value,
)
try:
await set_user_tier(request.user_id, request.tier)
except Exception as e:
logger.exception("Failed to set user tier")
raise HTTPException(status_code=500, detail="Failed to set tier") from e
return UserTierResponse(user_id=request.user_id, tier=request.tier)
class UserSearchResult(BaseModel):
user_id: str
user_email: Optional[str] = None
@router.get(
"/rate_limit/search_users",
response_model=list[UserSearchResult],
summary="Search Users by Name or Email",
)
async def admin_search_users(
query: str,
limit: int = 20,
admin_user_id: str = Security(get_user_id),
) -> list[UserSearchResult]:
"""Search users by partial email or name. Admin-only.
Queries the User table directly — returns results even for users
without credit transaction history.
"""
if len(query.strip()) < 3:
raise HTTPException(
status_code=400,
detail="Search query must be at least 3 characters.",
)
logger.info("Admin %s searching users with query=%r", admin_user_id, query)
results = await search_users(query, limit=max(1, min(limit, 50)))
return [UserSearchResult(user_id=uid, user_email=email) for uid, email in results]

View File

@@ -9,7 +9,7 @@ import pytest_mock
from autogpt_libs.auth.jwt_utils import get_jwt_payload
from pytest_snapshot.plugin import Snapshot
from backend.copilot.rate_limit import CoPilotUsageStatus, UsageWindow
from backend.copilot.rate_limit import CoPilotUsageStatus, SubscriptionTier, UsageWindow
from .rate_limit_admin_routes import router as rate_limit_admin_router
@@ -57,7 +57,7 @@ def _patch_rate_limit_deps(
mocker.patch(
f"{_MOCK_MODULE}.get_global_rate_limits",
new_callable=AsyncMock,
return_value=(2_500_000, 12_500_000),
return_value=(2_500_000, 12_500_000, SubscriptionTier.FREE),
)
mocker.patch(
f"{_MOCK_MODULE}.get_usage_status",
@@ -85,10 +85,11 @@ def test_get_rate_limit(
data = response.json()
assert data["user_id"] == target_user_id
assert data["user_email"] == _TARGET_EMAIL
assert data["daily_token_limit"] == 2_500_000
assert data["weekly_token_limit"] == 12_500_000
assert data["daily_tokens_used"] == 500_000
assert data["weekly_tokens_used"] == 3_000_000
assert data["daily_cost_limit_microdollars"] == 2_500_000
assert data["weekly_cost_limit_microdollars"] == 12_500_000
assert data["daily_cost_used_microdollars"] == 500_000
assert data["weekly_cost_used_microdollars"] == 3_000_000
assert data["tier"] == "FREE"
configured_snapshot.assert_match(
json.dumps(data, indent=2, sort_keys=True) + "\n",
@@ -116,7 +117,7 @@ def test_get_rate_limit_by_email(
data = response.json()
assert data["user_id"] == target_user_id
assert data["user_email"] == _TARGET_EMAIL
assert data["daily_token_limit"] == 2_500_000
assert data["daily_cost_limit_microdollars"] == 2_500_000
def test_get_rate_limit_by_email_not_found(
@@ -159,9 +160,10 @@ def test_reset_user_usage_daily_only(
assert response.status_code == 200
data = response.json()
assert data["daily_tokens_used"] == 0
assert data["daily_cost_used_microdollars"] == 0
# Weekly is untouched
assert data["weekly_tokens_used"] == 3_000_000
assert data["weekly_cost_used_microdollars"] == 3_000_000
assert data["tier"] == "FREE"
mock_reset.assert_awaited_once_with(target_user_id, reset_weekly=False)
@@ -190,8 +192,9 @@ def test_reset_user_usage_daily_and_weekly(
assert response.status_code == 200
data = response.json()
assert data["daily_tokens_used"] == 0
assert data["weekly_tokens_used"] == 0
assert data["daily_cost_used_microdollars"] == 0
assert data["weekly_cost_used_microdollars"] == 0
assert data["tier"] == "FREE"
mock_reset.assert_awaited_once_with(target_user_id, reset_weekly=True)
@@ -228,7 +231,7 @@ def test_get_rate_limit_email_lookup_failure(
mocker.patch(
f"{_MOCK_MODULE}.get_global_rate_limits",
new_callable=AsyncMock,
return_value=(2_500_000, 12_500_000),
return_value=(2_500_000, 12_500_000, SubscriptionTier.FREE),
)
mocker.patch(
f"{_MOCK_MODULE}.get_usage_status",
@@ -261,3 +264,303 @@ def test_admin_endpoints_require_admin_role(mock_jwt_user) -> None:
json={"user_id": "test"},
)
assert response.status_code == 403
# ---------------------------------------------------------------------------
# Tier management endpoints
# ---------------------------------------------------------------------------
def test_get_user_tier(
mocker: pytest_mock.MockerFixture,
target_user_id: str,
) -> None:
"""Test getting a user's rate-limit tier."""
mocker.patch(
f"{_MOCK_MODULE}.get_user_email_by_id",
new_callable=AsyncMock,
return_value=_TARGET_EMAIL,
)
mocker.patch(
f"{_MOCK_MODULE}.get_user_tier",
new_callable=AsyncMock,
return_value=SubscriptionTier.PRO,
)
response = client.get("/admin/rate_limit/tier", params={"user_id": target_user_id})
assert response.status_code == 200
data = response.json()
assert data["user_id"] == target_user_id
assert data["tier"] == "PRO"
def test_get_user_tier_user_not_found(
mocker: pytest_mock.MockerFixture,
target_user_id: str,
) -> None:
"""Test that getting tier for a non-existent user returns 404."""
mocker.patch(
f"{_MOCK_MODULE}.get_user_email_by_id",
new_callable=AsyncMock,
return_value=None,
)
response = client.get("/admin/rate_limit/tier", params={"user_id": target_user_id})
assert response.status_code == 404
def test_set_user_tier(
mocker: pytest_mock.MockerFixture,
target_user_id: str,
) -> None:
"""Test setting a user's rate-limit tier (upgrade)."""
mocker.patch(
f"{_MOCK_MODULE}.get_user_email_by_id",
new_callable=AsyncMock,
return_value=_TARGET_EMAIL,
)
mocker.patch(
f"{_MOCK_MODULE}.get_user_tier",
new_callable=AsyncMock,
return_value=SubscriptionTier.FREE,
)
mock_set = mocker.patch(
f"{_MOCK_MODULE}.set_user_tier",
new_callable=AsyncMock,
)
response = client.post(
"/admin/rate_limit/tier",
json={"user_id": target_user_id, "tier": "ENTERPRISE"},
)
assert response.status_code == 200
data = response.json()
assert data["user_id"] == target_user_id
assert data["tier"] == "ENTERPRISE"
mock_set.assert_awaited_once_with(target_user_id, SubscriptionTier.ENTERPRISE)
def test_set_user_tier_downgrade(
mocker: pytest_mock.MockerFixture,
target_user_id: str,
) -> None:
"""Test downgrading a user's tier from PRO to FREE."""
mocker.patch(
f"{_MOCK_MODULE}.get_user_email_by_id",
new_callable=AsyncMock,
return_value=_TARGET_EMAIL,
)
mocker.patch(
f"{_MOCK_MODULE}.get_user_tier",
new_callable=AsyncMock,
return_value=SubscriptionTier.PRO,
)
mock_set = mocker.patch(
f"{_MOCK_MODULE}.set_user_tier",
new_callable=AsyncMock,
)
response = client.post(
"/admin/rate_limit/tier",
json={"user_id": target_user_id, "tier": "FREE"},
)
assert response.status_code == 200
data = response.json()
assert data["user_id"] == target_user_id
assert data["tier"] == "FREE"
mock_set.assert_awaited_once_with(target_user_id, SubscriptionTier.FREE)
def test_set_user_tier_invalid_tier(
target_user_id: str,
) -> None:
"""Test that setting an invalid tier returns 422."""
response = client.post(
"/admin/rate_limit/tier",
json={"user_id": target_user_id, "tier": "invalid"},
)
assert response.status_code == 422
def test_set_user_tier_invalid_tier_uppercase(
target_user_id: str,
) -> None:
"""Test that setting an unrecognised uppercase tier (e.g. 'INVALID') returns 422.
Regression: ensures Pydantic enum validation rejects values that are not
members of SubscriptionTier, even when they look like valid enum names.
"""
response = client.post(
"/admin/rate_limit/tier",
json={"user_id": target_user_id, "tier": "INVALID"},
)
assert response.status_code == 422
body = response.json()
assert "detail" in body
def test_set_user_tier_email_lookup_failure_returns_404(
mocker: pytest_mock.MockerFixture,
target_user_id: str,
) -> None:
"""Test that email lookup failure returns 404 (user unverifiable)."""
mocker.patch(
f"{_MOCK_MODULE}.get_user_email_by_id",
new_callable=AsyncMock,
side_effect=Exception("DB connection failed"),
)
response = client.post(
"/admin/rate_limit/tier",
json={"user_id": target_user_id, "tier": "PRO"},
)
assert response.status_code == 404
def test_set_user_tier_user_not_found(
mocker: pytest_mock.MockerFixture,
target_user_id: str,
) -> None:
"""Test that setting tier for a non-existent user returns 404."""
mocker.patch(
f"{_MOCK_MODULE}.get_user_email_by_id",
new_callable=AsyncMock,
return_value=None,
)
response = client.post(
"/admin/rate_limit/tier",
json={"user_id": target_user_id, "tier": "PRO"},
)
assert response.status_code == 404
def test_set_user_tier_db_failure(
mocker: pytest_mock.MockerFixture,
target_user_id: str,
) -> None:
"""Test that DB failure on set tier returns 500."""
mocker.patch(
f"{_MOCK_MODULE}.get_user_email_by_id",
new_callable=AsyncMock,
return_value=_TARGET_EMAIL,
)
mocker.patch(
f"{_MOCK_MODULE}.get_user_tier",
new_callable=AsyncMock,
return_value=SubscriptionTier.FREE,
)
mocker.patch(
f"{_MOCK_MODULE}.set_user_tier",
new_callable=AsyncMock,
side_effect=Exception("DB connection refused"),
)
response = client.post(
"/admin/rate_limit/tier",
json={"user_id": target_user_id, "tier": "PRO"},
)
assert response.status_code == 500
def test_tier_endpoints_require_admin_role(mock_jwt_user) -> None:
"""Test that tier admin endpoints require admin role."""
app.dependency_overrides[get_jwt_payload] = mock_jwt_user["get_jwt_payload"]
response = client.get("/admin/rate_limit/tier", params={"user_id": "test"})
assert response.status_code == 403
response = client.post(
"/admin/rate_limit/tier",
json={"user_id": "test", "tier": "PRO"},
)
assert response.status_code == 403
# ─── search_users endpoint ──────────────────────────────────────────
def test_search_users_returns_matching_users(
mocker: pytest_mock.MockerFixture,
admin_user_id: str,
) -> None:
"""Partial search should return all matching users from the User table."""
mocker.patch(
_MOCK_MODULE + ".search_users",
new_callable=AsyncMock,
return_value=[
("user-1", "zamil.majdy@gmail.com"),
("user-2", "zamil.majdy@agpt.co"),
],
)
response = client.get("/admin/rate_limit/search_users", params={"query": "zamil"})
assert response.status_code == 200
results = response.json()
assert len(results) == 2
assert results[0]["user_email"] == "zamil.majdy@gmail.com"
assert results[1]["user_email"] == "zamil.majdy@agpt.co"
def test_search_users_empty_results(
mocker: pytest_mock.MockerFixture,
admin_user_id: str,
) -> None:
"""Search with no matches returns empty list."""
mocker.patch(
_MOCK_MODULE + ".search_users",
new_callable=AsyncMock,
return_value=[],
)
response = client.get(
"/admin/rate_limit/search_users", params={"query": "nonexistent"}
)
assert response.status_code == 200
assert response.json() == []
def test_search_users_short_query_rejected(
admin_user_id: str,
) -> None:
"""Query shorter than 3 characters should return 400."""
response = client.get("/admin/rate_limit/search_users", params={"query": "ab"})
assert response.status_code == 400
def test_search_users_negative_limit_clamped(
mocker: pytest_mock.MockerFixture,
admin_user_id: str,
) -> None:
"""Negative limit should be clamped to 1, not passed through."""
mock_search = mocker.patch(
_MOCK_MODULE + ".search_users",
new_callable=AsyncMock,
return_value=[],
)
response = client.get(
"/admin/rate_limit/search_users", params={"query": "test", "limit": -1}
)
assert response.status_code == 200
mock_search.assert_awaited_once_with("test", limit=1)
def test_search_users_requires_admin_role(mock_jwt_user) -> None:
"""Test that the search_users endpoint requires admin role."""
app.dependency_overrides[get_jwt_payload] = mock_jwt_user["get_jwt_payload"]
response = client.get("/admin/rate_limit/search_users", params={"query": "test"})
assert response.status_code == 403

View File

@@ -2,20 +2,20 @@
import asyncio
import logging
import re
from collections.abc import AsyncGenerator
from typing import Annotated
from uuid import uuid4
from autogpt_libs import auth
from fastapi import APIRouter, HTTPException, Query, Response, Security
from fastapi.responses import StreamingResponse
from prisma.models import UserWorkspaceFile
from fastapi.responses import JSONResponse, StreamingResponse
from pydantic import BaseModel, ConfigDict, Field, field_validator
from backend.copilot import service as chat_service
from backend.copilot import stream_registry
from backend.copilot.config import ChatConfig
from backend.copilot.builder_context import resolve_session_permissions
from backend.copilot.config import ChatConfig, CopilotLlmModel, CopilotMode
from backend.copilot.db import get_chat_messages_paginated
from backend.copilot.executor.utils import enqueue_cancel_task, enqueue_copilot_turn
from backend.copilot.model import (
ChatMessage,
@@ -25,11 +25,18 @@ from backend.copilot.model import (
create_chat_session,
delete_chat_session,
get_chat_session,
get_or_create_builder_session,
get_user_sessions,
update_session_title,
)
from backend.copilot.pending_message_helpers import (
QueuePendingMessageResponse,
is_turn_in_flight,
queue_pending_for_http,
)
from backend.copilot.pending_messages import peek_pending_messages
from backend.copilot.rate_limit import (
CoPilotUsageStatus,
CoPilotUsagePublic,
RateLimitExceeded,
acquire_reset_lock,
check_rate_limit,
@@ -41,6 +48,7 @@ from backend.copilot.rate_limit import (
reset_daily_usage,
)
from backend.copilot.response_model import StreamError, StreamFinish, StreamHeartbeat
from backend.copilot.service import strip_injected_context_for_display
from backend.copilot.tools.e2b_sandbox import kill_sandbox
from backend.copilot.tools.models import (
AgentDetailsResponse,
@@ -59,6 +67,10 @@ from backend.copilot.tools.models import (
InputValidationErrorResponse,
MCPToolOutputResponse,
MCPToolsDiscoveredResponse,
MemoryForgetCandidatesResponse,
MemoryForgetConfirmResponse,
MemorySearchResponse,
MemoryStoreResponse,
NeedLoginResponse,
NoResultsResponse,
SetupRequirementsResponse,
@@ -69,7 +81,7 @@ from backend.copilot.tracking import track_user_message
from backend.data.credit import UsageTransactionMetadata, get_user_credit_model
from backend.data.redis_client import get_redis_async
from backend.data.understanding import get_business_understanding
from backend.data.workspace import get_or_create_workspace
from backend.data.workspace import build_files_block, resolve_workspace_files
from backend.util.exceptions import InsufficientBalanceError, NotFoundError
from backend.util.settings import Settings
@@ -79,10 +91,6 @@ logger = logging.getLogger(__name__)
config = ChatConfig()
_UUID_RE = re.compile(
r"^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$", re.I
)
async def _validate_and_get_session(
session_id: str,
@@ -99,30 +107,91 @@ router = APIRouter(
tags=["chat"],
)
def _strip_injected_context(message: dict) -> dict:
"""Hide server-injected context blocks from the API response.
Returns a **shallow copy** of *message* with all server-injected XML
blocks removed from ``content`` (if applicable). The original dict is
never mutated, so callers can safely pass live session dicts without
risking side-effects.
Handles all three injected block types — ``<memory_context>``,
``<env_context>``, and ``<user_context>`` — regardless of the order they
appear at the start of the message. Only ``user``-role messages with
string content are touched; assistant / multimodal blocks pass through
unchanged.
"""
if message.get("role") == "user" and isinstance(message.get("content"), str):
result = message.copy()
result["content"] = strip_injected_context_for_display(message["content"])
return result
return message
# ========== Request/Response Models ==========
class StreamChatRequest(BaseModel):
"""Request model for streaming chat with optional context."""
message: str
message: str = Field(max_length=64_000)
is_user_message: bool = True
context: dict[str, str] | None = None # {url: str, content: str}
file_ids: list[str] | None = Field(
default=None, max_length=20
) # Workspace file IDs attached to this message
mode: CopilotMode | None = Field(
default=None,
description="Autopilot mode: 'fast' for baseline LLM, 'extended_thinking' for Claude Agent SDK. "
"If None, uses the server default (extended_thinking).",
)
model: CopilotLlmModel | None = Field(
default=None,
description="Model tier: 'standard' for the default model, 'advanced' for the highest-capability model. "
"If None, the server applies per-user LD targeting then falls back to config.",
)
class PeekPendingMessagesResponse(BaseModel):
"""Response for the pending-message peek (GET) endpoint.
Returns a read-only view of the pending buffer — messages are NOT
consumed. The frontend uses this to restore the queued-message
indicator after a page refresh and to decide when to clear it once
a turn has ended.
"""
messages: list[str]
count: int
class CreateSessionRequest(BaseModel):
"""Request model for creating a new chat session.
"""Request model for creating (or get-or-creating) a chat session.
Two modes, selected by the body:
- Default: create a fresh session. ``dry_run`` is a **top-level**
field — do not nest it inside ``metadata``.
- Builder-bound: when ``builder_graph_id`` is set, the endpoint
switches to **get-or-create** keyed on
``(user_id, builder_graph_id)``. The builder panel calls this on
mount so the chat persists across refreshes. Graph ownership is
validated inside :func:`get_or_create_builder_session`. Write-side
scope is enforced per-tool (``edit_agent`` / ``run_agent`` reject
any ``agent_id`` other than the bound graph) and a small blacklist
hides tools that conflict with the panel's scope
(``create_agent`` / ``customize_agent`` / ``get_agent_building_guide``
— see :data:`BUILDER_BLOCKED_TOOLS`). Read-side lookups
(``find_block``, ``find_agent``, ``search_docs``, …) stay open.
``dry_run`` is a **top-level** field — do not nest it inside ``metadata``.
Extra/unknown fields are rejected (422) to prevent silent mis-use.
"""
model_config = ConfigDict(extra="forbid")
dry_run: bool = False
builder_graph_id: str | None = Field(default=None, max_length=128)
class CreateSessionResponse(BaseModel):
@@ -150,6 +219,8 @@ class SessionDetailResponse(BaseModel):
user_id: str | None
messages: list[dict]
active_stream: ActiveStreamInfo | None = None # Present if stream is still active
has_more_messages: bool = False
oldest_sequence: int | None = None
total_prompt_tokens: int = 0
total_completion_tokens: int = 0
metadata: ChatSessionMetadata = ChatSessionMetadata()
@@ -265,29 +336,43 @@ async def create_session(
user_id: Annotated[str, Security(auth.get_user_id)],
request: CreateSessionRequest | None = None,
) -> CreateSessionResponse:
"""
Create a new chat session.
"""Create (or get-or-create) a chat session.
Initiates a new chat session for the authenticated user.
Two modes, selected by the request body:
- Default: create a fresh session for the user. ``dry_run=True`` forces
run_block and run_agent calls to use dry-run simulation.
- Builder-bound: when ``builder_graph_id`` is set, get-or-create keyed
on ``(user_id, builder_graph_id)``. Returns the existing session for
that graph or creates one locked to it. Graph ownership is validated
inside :func:`get_or_create_builder_session`; raises 404 on
unauthorized access. Write-side scope is enforced per-tool
(``edit_agent`` / ``run_agent`` reject any ``agent_id`` other than
the bound graph) and a small blacklist hides tools that conflict
with the panel's scope (see :data:`BUILDER_BLOCKED_TOOLS`).
Args:
user_id: The authenticated user ID parsed from the JWT (required).
request: Optional request body. When provided, ``dry_run=True``
forces run_block and run_agent calls to use dry-run simulation.
request: Optional request body with ``dry_run`` and/or
``builder_graph_id``.
Returns:
CreateSessionResponse: Details of the created session.
CreateSessionResponse: Details of the resulting session.
"""
dry_run = request.dry_run if request else False
builder_graph_id = request.builder_graph_id if request else None
logger.info(
f"Creating session with user_id: "
f"...{user_id[-8:] if len(user_id) > 8 else '<redacted>'}"
f"{', dry_run=True' if dry_run else ''}"
f"{f', builder_graph_id={builder_graph_id}' if builder_graph_id else ''}"
)
session = await create_chat_session(user_id, dry_run=dry_run)
if builder_graph_id:
session = await get_or_create_builder_session(user_id, builder_graph_id)
else:
session = await create_chat_session(user_id, dry_run=dry_run)
return CreateSessionResponse(
id=session.session_id,
@@ -346,6 +431,31 @@ async def delete_session(
return Response(status_code=204)
@router.delete(
"/sessions/{session_id}/stream",
dependencies=[Security(auth.requires_user)],
status_code=204,
)
async def disconnect_session_stream(
session_id: str,
user_id: Annotated[str, Security(auth.get_user_id)],
) -> Response:
"""Disconnect all active SSE listeners for a session.
Called by the frontend when the user switches away from a chat so the
backend releases XREAD listeners immediately rather than waiting for
the 5-10 s timeout.
"""
session = await get_chat_session(session_id, user_id)
if not session:
raise HTTPException(
status_code=404,
detail=f"Session {session_id} not found or access denied",
)
await stream_registry.disconnect_all_listeners(session_id)
return Response(status_code=204)
@router.patch(
"/sessions/{session_id}/title",
summary="Update session title",
@@ -389,60 +499,67 @@ async def update_session_title_route(
async def get_session(
session_id: str,
user_id: Annotated[str, Security(auth.get_user_id)],
limit: int = Query(default=50, ge=1, le=200),
before_sequence: int | None = Query(default=None, ge=0),
) -> SessionDetailResponse:
"""
Retrieve the details of a specific chat session.
Looks up a chat session by ID for the given user (if authenticated) and returns all session data including messages.
If there's an active stream for this session, returns active_stream info for reconnection.
Args:
session_id: The unique identifier for the desired chat session.
user_id: The optional authenticated user ID, or None for anonymous access.
Returns:
SessionDetailResponse: Details for the requested session, including active_stream info if applicable.
Supports cursor-based pagination via ``limit`` and ``before_sequence``.
When no pagination params are provided, returns the most recent messages.
"""
session = await get_chat_session(session_id, user_id)
if not session:
page = await get_chat_messages_paginated(
session_id, limit, before_sequence, user_id=user_id
)
if page is None:
raise NotFoundError(f"Session {session_id} not found.")
messages = [message.model_dump() for message in session.messages]
messages = [
_strip_injected_context(message.model_dump()) for message in page.messages
]
# Check if there's an active stream for this session
# Only check active stream on initial load (not on "load more" requests)
active_stream_info = None
active_session, last_message_id = await stream_registry.get_active_session(
session_id, user_id
)
logger.info(
f"[GET_SESSION] session={session_id}, active_session={active_session is not None}, "
f"msg_count={len(messages)}, last_role={messages[-1].get('role') if messages else 'none'}"
)
if active_session:
# Keep the assistant message (including tool_calls) so the frontend can
# render the correct tool UI (e.g. CreateAgent with mini game).
# convertChatSessionToUiMessages handles isComplete=false by setting
# tool parts without output to state "input-available".
active_stream_info = ActiveStreamInfo(
turn_id=active_session.turn_id,
last_message_id=last_message_id,
if before_sequence is None:
active_session, last_message_id = await stream_registry.get_active_session(
session_id, user_id
)
if active_session:
active_stream_info = ActiveStreamInfo(
turn_id=active_session.turn_id,
last_message_id=last_message_id,
)
# Skip session metadata on "load more" — frontend only needs messages
if before_sequence is not None:
return SessionDetailResponse(
id=page.session.session_id,
created_at=page.session.started_at.isoformat(),
updated_at=page.session.updated_at.isoformat(),
user_id=page.session.user_id or None,
messages=messages,
active_stream=None,
has_more_messages=page.has_more,
oldest_sequence=page.oldest_sequence,
total_prompt_tokens=0,
total_completion_tokens=0,
)
# Sum token usage from session
total_prompt = sum(u.prompt_tokens for u in session.usage)
total_completion = sum(u.completion_tokens for u in session.usage)
total_prompt = sum(u.prompt_tokens for u in page.session.usage)
total_completion = sum(u.completion_tokens for u in page.session.usage)
return SessionDetailResponse(
id=session.session_id,
created_at=session.started_at.isoformat(),
updated_at=session.updated_at.isoformat(),
user_id=session.user_id or None,
id=page.session.session_id,
created_at=page.session.started_at.isoformat(),
updated_at=page.session.updated_at.isoformat(),
user_id=page.session.user_id or None,
messages=messages,
active_stream=active_stream_info,
has_more_messages=page.has_more,
oldest_sequence=page.oldest_sequence,
total_prompt_tokens=total_prompt,
total_completion_tokens=total_completion,
metadata=session.metadata,
metadata=page.session.metadata,
)
@@ -451,21 +568,27 @@ async def get_session(
)
async def get_copilot_usage(
user_id: Annotated[str, Security(auth.get_user_id)],
) -> CoPilotUsageStatus:
) -> CoPilotUsagePublic:
"""Get CoPilot usage status for the authenticated user.
Returns current token usage vs limits for daily and weekly windows.
Global defaults sourced from LaunchDarkly (falling back to config).
Returns the percentage of the daily/weekly allowance used — not the
raw spend or cap — so clients cannot derive per-turn cost or platform
margins. Global defaults sourced from LaunchDarkly (falling back to
config). Includes the user's rate-limit tier.
"""
daily_limit, weekly_limit = await get_global_rate_limits(
user_id, config.daily_token_limit, config.weekly_token_limit
daily_limit, weekly_limit, tier = await get_global_rate_limits(
user_id,
config.daily_cost_limit_microdollars,
config.weekly_cost_limit_microdollars,
)
return await get_usage_status(
status = await get_usage_status(
user_id=user_id,
daily_token_limit=daily_limit,
weekly_token_limit=weekly_limit,
daily_cost_limit=daily_limit,
weekly_cost_limit=weekly_limit,
rate_limit_reset_cost=config.rate_limit_reset_cost,
tier=tier,
)
return CoPilotUsagePublic.from_status(status)
class RateLimitResetResponse(BaseModel):
@@ -474,7 +597,9 @@ class RateLimitResetResponse(BaseModel):
success: bool
credits_charged: int = Field(description="Credits charged (in cents)")
remaining_balance: int = Field(description="Credit balance after charge (in cents)")
usage: CoPilotUsageStatus = Field(description="Updated usage status after reset")
usage: CoPilotUsagePublic = Field(
description="Updated usage status after reset (percentages only)"
)
@router.post(
@@ -498,7 +623,7 @@ async def reset_copilot_usage(
) -> RateLimitResetResponse:
"""Reset the daily CoPilot rate limit by spending credits.
Allows users who have hit their daily token limit to spend credits
Allows users who have hit their daily cost limit to spend credits
to reset their daily usage counter and continue working.
Returns 400 if the feature is disabled or the user is not over the limit.
Returns 402 if the user has insufficient credits.
@@ -516,8 +641,10 @@ async def reset_copilot_usage(
detail="Rate limit reset is not available (credit system is disabled).",
)
daily_limit, weekly_limit = await get_global_rate_limits(
user_id, config.daily_token_limit, config.weekly_token_limit
daily_limit, weekly_limit, tier = await get_global_rate_limits(
user_id,
config.daily_cost_limit_microdollars,
config.weekly_cost_limit_microdollars,
)
if daily_limit <= 0:
@@ -554,8 +681,9 @@ async def reset_copilot_usage(
# used for limit checks, not returned to the client.)
usage_status = await get_usage_status(
user_id=user_id,
daily_token_limit=daily_limit,
weekly_token_limit=weekly_limit,
daily_cost_limit=daily_limit,
weekly_cost_limit=weekly_limit,
tier=tier,
)
if daily_limit > 0 and usage_status.daily.used < daily_limit:
raise HTTPException(
@@ -589,7 +717,7 @@ async def reset_copilot_usage(
# Reset daily usage in Redis. If this fails, refund the credits
# so the user is not charged for a service they did not receive.
if not await reset_daily_usage(user_id, daily_token_limit=daily_limit):
if not await reset_daily_usage(user_id, daily_cost_limit=daily_limit):
# Compensate: refund the charged credits.
refunded = False
try:
@@ -625,19 +753,20 @@ async def reset_copilot_usage(
finally:
await release_reset_lock(user_id)
# Return updated usage status.
# Return updated usage status (public schema — percentages only).
updated_usage = await get_usage_status(
user_id=user_id,
daily_token_limit=daily_limit,
weekly_token_limit=weekly_limit,
daily_cost_limit=daily_limit,
weekly_cost_limit=weekly_limit,
rate_limit_reset_cost=config.rate_limit_reset_cost,
tier=tier,
)
return RateLimitResetResponse(
success=True,
credits_charged=cost,
remaining_balance=remaining,
usage=updated_usage,
usage=CoPilotUsagePublic.from_status(updated_usage),
)
@@ -688,36 +817,52 @@ async def cancel_session_task(
@router.post(
"/sessions/{session_id}/stream",
responses={
202: {
"model": QueuePendingMessageResponse,
"description": (
"Session has a turn in flight — message queued into the pending "
"buffer and will be picked up between tool-call rounds by the "
"executor currently processing the turn."
),
},
404: {"description": "Session not found or access denied"},
429: {"description": "Cost rate-limit or call-frequency cap exceeded"},
},
)
async def stream_chat_post(
session_id: str,
request: StreamChatRequest,
user_id: str = Security(auth.get_user_id),
):
"""
Stream chat responses for a session (POST with context support).
"""Start a new turn OR queue a follow-up — decided server-side.
Streams the AI/completion responses in real time over Server-Sent Events (SSE), including:
- Text fragments as they are generated
- Tool call UI elements (if invoked)
- Tool execution results
- **Session idle**: starts a turn. Returns an SSE stream (``text/event-stream``)
with Vercel AI SDK chunks (text fragments, tool-call UI, tool results).
The generation runs in a background task that survives client disconnects;
reconnect via ``GET /sessions/{session_id}/stream`` to resume.
The AI generation runs in a background task that continues even if the client disconnects.
All chunks are written to a per-turn Redis stream for reconnection support. If the client
disconnects, they can reconnect using GET /sessions/{session_id}/stream to resume.
- **Session has a turn in flight**: pushes the message into the per-session
pending buffer and returns ``202 application/json`` with
``QueuePendingMessageResponse``. The executor running the current turn
drains the buffer between tool-call rounds (baseline) or at the start of
the next turn (SDK). Clients should detect the 202 and surface the
message as a queued-chip in the UI.
Args:
session_id: The chat session identifier to associate with the streamed messages.
request: Request body containing message, is_user_message, and optional context.
session_id: The chat session identifier.
request: Request body with message, is_user_message, and optional context.
user_id: Authenticated user ID.
Returns:
StreamingResponse: SSE-formatted response chunks.
"""
import asyncio
import time
stream_start_time = time.perf_counter()
# Wall-clock arrival time, propagated to the executor so the turn-start
# drain can order pending messages relative to this request (pending
# pushed BEFORE this instant were typed earlier; pending pushed AFTER
# are race-path follow-ups typed while /stream was still processing).
request_arrival_at = time.time()
log_meta = {"component": "ChatStream", "session_id": session_id, "user_id": user_id}
logger.info(
@@ -725,7 +870,28 @@ async def stream_chat_post(
f"user={user_id}, message_len={len(request.message)}",
extra={"json_fields": log_meta},
)
await _validate_and_get_session(session_id, user_id)
session = await _validate_and_get_session(session_id, user_id)
builder_permissions = resolve_session_permissions(session)
# Self-defensive queue-fallback: if a turn is already running, don't race
# it on the cluster lock — drop the message into the pending buffer and
# return 202 so the caller can render a chip. Both UI chips and autopilot
# block follow-ups route through this path; keeping the decision on the
# server means every caller gets uniform behaviour.
if (
request.is_user_message
and request.message
and await is_turn_in_flight(session_id)
):
response = await queue_pending_for_http(
session_id=session_id,
user_id=user_id,
message=request.message,
context=request.context,
file_ids=request.file_ids,
)
return JSONResponse(status_code=202, content=response.model_dump())
logger.info(
f"[TIMING] session validated in {(time.perf_counter() - stream_start_time) * 1000:.1f}ms",
extra={
@@ -736,18 +902,20 @@ async def stream_chat_post(
},
)
# Pre-turn rate limit check (token-based).
# Pre-turn rate limit check (cost-based, microdollars).
# check_rate_limit short-circuits internally when both limits are 0.
# Global defaults sourced from LaunchDarkly, falling back to config.
if user_id:
try:
daily_limit, weekly_limit = await get_global_rate_limits(
user_id, config.daily_token_limit, config.weekly_token_limit
daily_limit, weekly_limit, _ = await get_global_rate_limits(
user_id,
config.daily_cost_limit_microdollars,
config.weekly_cost_limit_microdollars,
)
await check_rate_limit(
user_id=user_id,
daily_token_limit=daily_limit,
weekly_token_limit=weekly_limit,
daily_cost_limit=daily_limit,
weekly_cost_limit=weekly_limit,
)
except RateLimitExceeded as e:
raise HTTPException(status_code=429, detail=str(e)) from e
@@ -756,87 +924,75 @@ async def stream_chat_post(
# Also sanitise file_ids so only validated, workspace-scoped IDs are
# forwarded downstream (e.g. to the executor via enqueue_copilot_turn).
sanitized_file_ids: list[str] | None = None
if request.file_ids and user_id:
# Filter to valid UUIDs only to prevent DB abuse
valid_ids = [fid for fid in request.file_ids if _UUID_RE.match(fid)]
if valid_ids:
workspace = await get_or_create_workspace(user_id)
# Batch query instead of N+1
files = await UserWorkspaceFile.prisma().find_many(
where={
"id": {"in": valid_ids},
"workspaceId": workspace.id,
"isDeleted": False,
}
)
# Only keep IDs that actually exist in the user's workspace
sanitized_file_ids = [wf.id for wf in files] or None
file_lines: list[str] = [
f"- {wf.name} ({wf.mimeType}, {round(wf.sizeBytes / 1024, 1)} KB), file_id={wf.id}"
for wf in files
]
if file_lines:
files_block = (
"\n\n[Attached files]\n"
+ "\n".join(file_lines)
+ "\nUse read_workspace_file with the file_id to access file contents."
)
request.message += files_block
if request.file_ids:
files = await resolve_workspace_files(user_id, request.file_ids)
sanitized_file_ids = [wf.id for wf in files] or None
request.message += build_files_block(files)
# Atomically append user message to session BEFORE creating task to avoid
# race condition where GET_SESSION sees task as "running" but message isn't
# saved yet. append_and_save_message re-fetches inside a lock to prevent
# message loss from concurrent requests.
# saved yet. append_and_save_message returns None when a duplicate is
# detected — in that case skip enqueue to avoid processing the message twice.
is_duplicate_message = False
if request.message:
message = ChatMessage(
role="user" if request.is_user_message else "assistant",
content=request.message,
)
if request.is_user_message:
logger.info(f"[STREAM] Saving user message to session {session_id}")
is_duplicate_message = (
await append_and_save_message(session_id, message)
) is None
logger.info(f"[STREAM] User message saved for session {session_id}")
if not is_duplicate_message and request.is_user_message:
track_user_message(
user_id=user_id,
session_id=session_id,
message_length=len(request.message),
)
logger.info(f"[STREAM] Saving user message to session {session_id}")
await append_and_save_message(session_id, message)
logger.info(f"[STREAM] User message saved for session {session_id}")
# Create a task in the stream registry for reconnection support
turn_id = str(uuid4())
log_meta["turn_id"] = turn_id
session_create_start = time.perf_counter()
await stream_registry.create_session(
session_id=session_id,
user_id=user_id,
tool_call_id="chat_stream",
tool_name="chat",
turn_id=turn_id,
)
logger.info(
f"[TIMING] create_session completed in {(time.perf_counter() - session_create_start) * 1000:.1f}ms",
extra={
"json_fields": {
**log_meta,
"duration_ms": (time.perf_counter() - session_create_start) * 1000,
}
},
)
# Per-turn stream is always fresh (unique turn_id), subscribe from beginning
subscribe_from_id = "0-0"
await enqueue_copilot_turn(
session_id=session_id,
user_id=user_id,
message=request.message,
turn_id=turn_id,
is_user_message=request.is_user_message,
context=request.context,
file_ids=sanitized_file_ids,
)
# Create a task in the stream registry for reconnection support.
# For duplicate messages, skip create_session entirely so the infra-retry
# client subscribes to the *existing* turn's Redis stream and receives the
# in-progress executor output rather than an empty stream.
turn_id = ""
if not is_duplicate_message:
turn_id = str(uuid4())
log_meta["turn_id"] = turn_id
session_create_start = time.perf_counter()
await stream_registry.create_session(
session_id=session_id,
user_id=user_id,
tool_call_id="chat_stream",
tool_name="chat",
turn_id=turn_id,
)
logger.info(
f"[TIMING] create_session completed in {(time.perf_counter() - session_create_start) * 1000:.1f}ms",
extra={
"json_fields": {
**log_meta,
"duration_ms": (time.perf_counter() - session_create_start) * 1000,
}
},
)
await enqueue_copilot_turn(
session_id=session_id,
user_id=user_id,
message=request.message,
turn_id=turn_id,
is_user_message=request.is_user_message,
context=request.context,
file_ids=sanitized_file_ids,
mode=request.mode,
model=request.model,
permissions=builder_permissions,
request_arrival_at=request_arrival_at,
)
else:
logger.info(
f"[STREAM] Duplicate message detected for session {session_id}, skipping enqueue"
)
setup_time = (time.perf_counter() - stream_start_time) * 1000
logger.info(
@@ -844,6 +1000,9 @@ async def stream_chat_post(
extra={"json_fields": {**log_meta, "setup_time_ms": setup_time}},
)
# Per-turn stream is always fresh (unique turn_id), subscribe from beginning
subscribe_from_id = "0-0"
# SSE endpoint that subscribes to the task's stream
async def event_generator() -> AsyncGenerator[str, None]:
import time as time_module
@@ -868,7 +1027,6 @@ async def stream_chat_post(
if subscriber_queue is None:
yield StreamFinish().to_sse()
yield "data: [DONE]\n\n"
return
# Read from the subscriber queue and yield to SSE
@@ -898,7 +1056,6 @@ async def stream_chat_post(
yield chunk.to_sse()
# Check for finish signal
if isinstance(chunk, StreamFinish):
total_time = time_module.perf_counter() - event_gen_start
logger.info(
@@ -913,6 +1070,7 @@ async def stream_chat_post(
},
)
break
except asyncio.TimeoutError:
yield StreamHeartbeat().to_sse()
@@ -927,7 +1085,6 @@ async def stream_chat_post(
}
},
)
pass # Client disconnected - background task continues
except Exception as e:
elapsed = (time_module.perf_counter() - event_gen_start) * 1000
logger.error(
@@ -981,6 +1138,31 @@ async def stream_chat_post(
)
@router.get(
"/sessions/{session_id}/messages/pending",
response_model=PeekPendingMessagesResponse,
responses={
404: {"description": "Session not found or access denied"},
},
)
async def get_pending_messages(
session_id: str,
user_id: str = Security(auth.get_user_id),
):
"""Peek at the pending-message buffer without consuming it.
Returns the current contents of the session's pending message buffer
so the frontend can restore the queued-message indicator after a page
refresh and clear it correctly once a turn drains the buffer.
"""
await _validate_and_get_session(session_id, user_id)
pending = await peek_pending_messages(session_id)
return PeekPendingMessagesResponse(
messages=[m.content for m in pending],
count=len(pending),
)
@router.get(
"/sessions/{session_id}/stream",
)
@@ -1233,6 +1415,10 @@ ToolResponseUnion = (
| DocPageResponse
| MCPToolsDiscoveredResponse
| MCPToolOutputResponse
| MemoryStoreResponse
| MemorySearchResponse
| MemoryForgetCandidatesResponse
| MemoryForgetConfirmResponse
)

View File

@@ -12,6 +12,7 @@ import prisma.models
import backend.api.features.library.model as library_model
import backend.data.graph as graph_db
from backend.api.features.library.db import _fetch_schedule_info
from backend.data.graph import GraphModel, GraphSettings
from backend.data.includes import library_agent_include
from backend.util.exceptions import NotFoundError
@@ -117,4 +118,5 @@ async def add_graph_to_library(
f"for store listing version #{store_listing_version_id} "
f"to library for user #{user_id}"
)
return library_model.LibraryAgent.from_db(added_agent)
schedule_info = await _fetch_schedule_info(user_id, graph_id=graph_model.id)
return library_model.LibraryAgent.from_db(added_agent, schedule_info=schedule_info)

View File

@@ -21,13 +21,17 @@ async def test_add_graph_to_library_create_new_agent() -> None:
"backend.api.features.library._add_to_library.library_model.LibraryAgent.from_db",
return_value=converted_agent,
) as mock_from_db,
patch(
"backend.api.features.library._add_to_library._fetch_schedule_info",
new=AsyncMock(return_value={}),
),
):
mock_prisma.return_value.create = AsyncMock(return_value=created_agent)
result = await add_graph_to_library("slv-id", graph_model, "user-id")
assert result is converted_agent
mock_from_db.assert_called_once_with(created_agent)
mock_from_db.assert_called_once_with(created_agent, schedule_info={})
# Verify create was called with correct data
create_call = mock_prisma.return_value.create.call_args
create_data = create_call.kwargs["data"]
@@ -54,6 +58,10 @@ async def test_add_graph_to_library_unique_violation_updates_existing() -> None:
"backend.api.features.library._add_to_library.library_model.LibraryAgent.from_db",
return_value=converted_agent,
) as mock_from_db,
patch(
"backend.api.features.library._add_to_library._fetch_schedule_info",
new=AsyncMock(return_value={}),
),
):
mock_prisma.return_value.create = AsyncMock(
side_effect=prisma.errors.UniqueViolationError(
@@ -65,7 +73,7 @@ async def test_add_graph_to_library_unique_violation_updates_existing() -> None:
result = await add_graph_to_library("slv-id", graph_model, "user-id")
assert result is converted_agent
mock_from_db.assert_called_once_with(updated_agent)
mock_from_db.assert_called_once_with(updated_agent, schedule_info={})
# Verify update was called with correct where and data
update_call = mock_prisma.return_value.update.call_args
assert update_call.kwargs["where"] == {

View File

@@ -1,6 +1,7 @@
import asyncio
import itertools
import logging
from datetime import datetime, timezone
from typing import Literal, Optional
import fastapi
@@ -43,6 +44,65 @@ config = Config()
integration_creds_manager = IntegrationCredentialsManager()
async def _fetch_execution_counts(user_id: str, graph_ids: list[str]) -> dict[str, int]:
"""Fetch execution counts per graph in a single batched query."""
if not graph_ids:
return {}
rows = await prisma.models.AgentGraphExecution.prisma().group_by(
by=["agentGraphId"],
where={
"userId": user_id,
"agentGraphId": {"in": graph_ids},
"isDeleted": False,
},
count=True,
)
return {
row["agentGraphId"]: int((row.get("_count") or {}).get("_all") or 0)
for row in rows
}
async def _fetch_schedule_info(
user_id: str, graph_id: Optional[str] = None
) -> dict[str, str]:
"""Fetch a map of graph_id → earliest next_run_time ISO string.
When `graph_id` is provided, the scheduler query is narrowed to that graph,
which is cheaper for single-agent lookups (detail page, post-update, etc.).
"""
try:
scheduler_client = get_scheduler_client()
schedules = await scheduler_client.get_execution_schedules(
graph_id=graph_id,
user_id=user_id,
)
earliest: dict[str, tuple[datetime, str]] = {}
for s in schedules:
parsed = _parse_iso_datetime(s.next_run_time)
if parsed is None:
continue
current = earliest.get(s.graph_id)
if current is None or parsed < current[0]:
earliest[s.graph_id] = (parsed, s.next_run_time)
return {graph_id: iso for graph_id, (_, iso) in earliest.items()}
except Exception:
logger.warning("Failed to fetch schedules for library agents", exc_info=True)
return {}
def _parse_iso_datetime(value: str) -> Optional[datetime]:
"""Parse an ISO 8601 datetime, tolerating `Z` and naive forms (assumed UTC)."""
try:
parsed = datetime.fromisoformat(value.replace("Z", "+00:00"))
except ValueError:
logger.warning("Failed to parse schedule next_run_time: %s", value)
return None
if parsed.tzinfo is None:
parsed = parsed.replace(tzinfo=timezone.utc)
return parsed
async def list_library_agents(
user_id: str,
search_term: Optional[str] = None,
@@ -137,12 +197,22 @@ async def list_library_agents(
logger.debug(f"Retrieved {len(library_agents)} library agents for user #{user_id}")
graph_ids = [a.agentGraphId for a in library_agents if a.agentGraphId]
execution_counts, schedule_info = await asyncio.gather(
_fetch_execution_counts(user_id, graph_ids),
_fetch_schedule_info(user_id),
)
# Only pass valid agents to the response
valid_library_agents: list[library_model.LibraryAgent] = []
for agent in library_agents:
try:
library_agent = library_model.LibraryAgent.from_db(agent)
library_agent = library_model.LibraryAgent.from_db(
agent,
execution_count_override=execution_counts.get(agent.agentGraphId),
schedule_info=schedule_info,
)
valid_library_agents.append(library_agent)
except Exception as e:
# Skip this agent if there was an error
@@ -214,12 +284,22 @@ async def list_favorite_library_agents(
f"Retrieved {len(library_agents)} favorite library agents for user #{user_id}"
)
graph_ids = [a.agentGraphId for a in library_agents if a.agentGraphId]
execution_counts, schedule_info = await asyncio.gather(
_fetch_execution_counts(user_id, graph_ids),
_fetch_schedule_info(user_id),
)
# Only pass valid agents to the response
valid_library_agents: list[library_model.LibraryAgent] = []
for agent in library_agents:
try:
library_agent = library_model.LibraryAgent.from_db(agent)
library_agent = library_model.LibraryAgent.from_db(
agent,
execution_count_override=execution_counts.get(agent.agentGraphId),
schedule_info=schedule_info,
)
valid_library_agents.append(library_agent)
except Exception as e:
# Skip this agent if there was an error
@@ -285,6 +365,12 @@ async def get_library_agent(id: str, user_id: str) -> library_model.LibraryAgent
where={"userId": store_listing.owningUserId}
)
schedule_info = (
await _fetch_schedule_info(user_id, graph_id=library_agent.AgentGraph.id)
if library_agent.AgentGraph
else {}
)
return library_model.LibraryAgent.from_db(
library_agent,
sub_graphs=(
@@ -294,6 +380,7 @@ async def get_library_agent(id: str, user_id: str) -> library_model.LibraryAgent
),
store_listing=store_listing,
profile=profile,
schedule_info=schedule_info,
)
@@ -329,7 +416,10 @@ async def get_library_agent_by_store_version_id(
},
include=library_agent_include(user_id),
)
return library_model.LibraryAgent.from_db(agent) if agent else None
if not agent:
return None
schedule_info = await _fetch_schedule_info(user_id, graph_id=agent.agentGraphId)
return library_model.LibraryAgent.from_db(agent, schedule_info=schedule_info)
async def get_library_agent_by_graph_id(
@@ -358,7 +448,10 @@ async def get_library_agent_by_graph_id(
assert agent.AgentGraph # make type checker happy
# Include sub-graphs so we can make a full credentials input schema
sub_graphs = await graph_db.get_sub_graphs(agent.AgentGraph)
return library_model.LibraryAgent.from_db(agent, sub_graphs=sub_graphs)
schedule_info = await _fetch_schedule_info(user_id, graph_id=agent.agentGraphId)
return library_model.LibraryAgent.from_db(
agent, sub_graphs=sub_graphs, schedule_info=schedule_info
)
async def add_generated_agent_image(
@@ -500,7 +593,11 @@ async def create_library_agent(
for agent, graph in zip(library_agents, graph_entries):
asyncio.create_task(add_generated_agent_image(graph, user_id, agent.id))
return [library_model.LibraryAgent.from_db(agent) for agent in library_agents]
schedule_info = await _fetch_schedule_info(user_id)
return [
library_model.LibraryAgent.from_db(agent, schedule_info=schedule_info)
for agent in library_agents
]
async def update_agent_version_in_library(
@@ -562,7 +659,8 @@ async def update_agent_version_in_library(
f"Failed to update library agent for {agent_graph_id} v{agent_graph_version}"
)
return library_model.LibraryAgent.from_db(lib)
schedule_info = await _fetch_schedule_info(user_id, graph_id=agent_graph_id)
return library_model.LibraryAgent.from_db(lib, schedule_info=schedule_info)
async def create_graph_in_library(
@@ -645,6 +743,7 @@ async def update_library_agent_version_and_settings(
graph=agent_graph,
hitl_safe_mode=library.settings.human_in_the_loop_safe_mode,
sensitive_action_safe_mode=library.settings.sensitive_action_safe_mode,
builder_chat_session_id=library.settings.builder_chat_session_id,
)
if updated_settings != library.settings:
library = await update_library_agent(
@@ -1467,7 +1566,11 @@ async def bulk_move_agents_to_folder(
),
)
return [library_model.LibraryAgent.from_db(agent) for agent in agents]
schedule_info = await _fetch_schedule_info(user_id)
return [
library_model.LibraryAgent.from_db(agent, schedule_info=schedule_info)
for agent in agents
]
def collect_tree_ids(

View File

@@ -65,6 +65,11 @@ async def test_get_library_agents(mocker):
)
mock_library_agent.return_value.count = mocker.AsyncMock(return_value=1)
mocker.patch(
"backend.api.features.library.db._fetch_execution_counts",
new=mocker.AsyncMock(return_value={}),
)
# Call function
result = await db.list_library_agents("test-user")
@@ -353,3 +358,136 @@ async def test_create_library_agent_uses_upsert():
# Verify update branch restores soft-deleted/archived agents
assert data["update"]["isDeleted"] is False
assert data["update"]["isArchived"] is False
@pytest.mark.asyncio
async def test_list_favorite_library_agents(mocker):
mock_library_agents = [
prisma.models.LibraryAgent(
id="fav1",
userId="test-user",
agentGraphId="agent-fav",
settings="{}", # type: ignore
agentGraphVersion=1,
isCreatedByUser=False,
isDeleted=False,
isArchived=False,
createdAt=datetime.now(),
updatedAt=datetime.now(),
isFavorite=True,
useGraphIsActiveVersion=True,
AgentGraph=prisma.models.AgentGraph(
id="agent-fav",
version=1,
name="Favorite Agent",
description="My Favorite",
userId="other-user",
isActive=True,
createdAt=datetime.now(),
),
)
]
mock_library_agent = mocker.patch("prisma.models.LibraryAgent.prisma")
mock_library_agent.return_value.find_many = mocker.AsyncMock(
return_value=mock_library_agents
)
mock_library_agent.return_value.count = mocker.AsyncMock(return_value=1)
mocker.patch(
"backend.api.features.library.db._fetch_execution_counts",
new=mocker.AsyncMock(return_value={"agent-fav": 7}),
)
result = await db.list_favorite_library_agents("test-user")
assert len(result.agents) == 1
assert result.agents[0].id == "fav1"
assert result.agents[0].name == "Favorite Agent"
assert result.agents[0].graph_id == "agent-fav"
assert result.pagination.total_items == 1
assert result.pagination.total_pages == 1
assert result.pagination.current_page == 1
assert result.pagination.page_size == 50
@pytest.mark.asyncio
async def test_list_library_agents_skips_failed_agent(mocker):
"""Agents that fail parsing should be skipped — covers the except branch."""
mock_library_agents = [
prisma.models.LibraryAgent(
id="ua-bad",
userId="test-user",
agentGraphId="agent-bad",
settings="{}", # type: ignore
agentGraphVersion=1,
isCreatedByUser=False,
isDeleted=False,
isArchived=False,
createdAt=datetime.now(),
updatedAt=datetime.now(),
isFavorite=False,
useGraphIsActiveVersion=True,
AgentGraph=prisma.models.AgentGraph(
id="agent-bad",
version=1,
name="Bad Agent",
description="",
userId="other-user",
isActive=True,
createdAt=datetime.now(),
),
)
]
mock_library_agent = mocker.patch("prisma.models.LibraryAgent.prisma")
mock_library_agent.return_value.find_many = mocker.AsyncMock(
return_value=mock_library_agents
)
mock_library_agent.return_value.count = mocker.AsyncMock(return_value=1)
mocker.patch(
"backend.api.features.library.db._fetch_execution_counts",
new=mocker.AsyncMock(return_value={}),
)
mocker.patch(
"backend.api.features.library.model.LibraryAgent.from_db",
side_effect=Exception("parse error"),
)
result = await db.list_library_agents("test-user")
assert len(result.agents) == 0
assert result.pagination.total_items == 1
@pytest.mark.asyncio
async def test_fetch_execution_counts_empty_graph_ids():
result = await db._fetch_execution_counts("user-1", [])
assert result == {}
@pytest.mark.asyncio
async def test_fetch_execution_counts_uses_group_by(mocker):
mock_prisma = mocker.patch("prisma.models.AgentGraphExecution.prisma")
mock_prisma.return_value.group_by = mocker.AsyncMock(
return_value=[
{"agentGraphId": "graph-1", "_count": {"_all": 5}},
{"agentGraphId": "graph-2", "_count": {"_all": 2}},
]
)
result = await db._fetch_execution_counts(
"user-1", ["graph-1", "graph-2", "graph-3"]
)
assert result == {"graph-1": 5, "graph-2": 2}
mock_prisma.return_value.group_by.assert_called_once_with(
by=["agentGraphId"],
where={
"userId": "user-1",
"agentGraphId": {"in": ["graph-1", "graph-2", "graph-3"]},
"isDeleted": False,
},
count=True,
)

View File

@@ -214,6 +214,14 @@ class LibraryAgent(pydantic.BaseModel):
folder_name: str | None = None # Denormalized for display
recommended_schedule_cron: str | None = None
is_scheduled: bool = pydantic.Field(
default=False,
description="Whether this agent has active execution schedules",
)
next_scheduled_run: str | None = pydantic.Field(
default=None,
description="ISO 8601 timestamp of the next scheduled run, if any",
)
settings: GraphSettings = pydantic.Field(default_factory=GraphSettings)
marketplace_listing: Optional["MarketplaceListing"] = None
@@ -223,6 +231,8 @@ class LibraryAgent(pydantic.BaseModel):
sub_graphs: Optional[list[prisma.models.AgentGraph]] = None,
store_listing: Optional[prisma.models.StoreListing] = None,
profile: Optional[prisma.models.Profile] = None,
execution_count_override: Optional[int] = None,
schedule_info: Optional[dict[str, str]] = None,
) -> "LibraryAgent":
"""
Factory method that constructs a LibraryAgent from a Prisma LibraryAgent
@@ -258,10 +268,14 @@ class LibraryAgent(pydantic.BaseModel):
status = status_result.status
new_output = status_result.new_output
execution_count = len(executions)
execution_count = (
execution_count_override
if execution_count_override is not None
else len(executions)
)
success_rate: float | None = None
avg_correctness_score: float | None = None
if execution_count > 0:
if executions and execution_count > 0:
success_count = sum(
1
for e in executions
@@ -354,6 +368,10 @@ class LibraryAgent(pydantic.BaseModel):
folder_id=agent.folderId,
folder_name=agent.Folder.name if agent.Folder else None,
recommended_schedule_cron=agent.AgentGraph.recommendedScheduleCron,
is_scheduled=bool(schedule_info and agent.agentGraphId in schedule_info),
next_scheduled_run=(
schedule_info.get(agent.agentGraphId) if schedule_info else None
),
settings=_parse_settings(agent.settings),
marketplace_listing=marketplace_listing_data,
)

View File

@@ -1,11 +1,66 @@
import datetime
import prisma.enums
import prisma.models
import pytest
from . import model as library_model
def _make_library_agent(
*,
graph_id: str = "g1",
executions: list | None = None,
) -> prisma.models.LibraryAgent:
return prisma.models.LibraryAgent(
id="la1",
userId="u1",
agentGraphId=graph_id,
settings="{}", # type: ignore
agentGraphVersion=1,
isCreatedByUser=True,
isDeleted=False,
isArchived=False,
createdAt=datetime.datetime.now(),
updatedAt=datetime.datetime.now(),
isFavorite=False,
useGraphIsActiveVersion=True,
AgentGraph=prisma.models.AgentGraph(
id=graph_id,
version=1,
name="Agent",
description="Desc",
userId="u1",
isActive=True,
createdAt=datetime.datetime.now(),
Executions=executions,
),
)
def test_from_db_execution_count_override_covers_success_rate():
"""Covers execution_count_override is not None branch and executions/count > 0 block."""
now = datetime.datetime.now(datetime.timezone.utc)
exec1 = prisma.models.AgentGraphExecution(
id="exec-1",
agentGraphId="g1",
agentGraphVersion=1,
userId="u1",
executionStatus=prisma.enums.AgentExecutionStatus.COMPLETED,
createdAt=now,
updatedAt=now,
isDeleted=False,
isShared=False,
)
agent = _make_library_agent(executions=[exec1])
result = library_model.LibraryAgent.from_db(agent, execution_count_override=1)
assert result.execution_count == 1
assert result.success_rate is not None
assert result.success_rate == 100.0
@pytest.mark.asyncio
async def test_agent_preset_from_db(test_user_id: str):
# Create mock DB agent

View File

@@ -0,0 +1 @@
"""Platform bot linking — user-facing REST routes."""

View File

@@ -0,0 +1,158 @@
"""User-facing platform_linking REST routes (JWT auth)."""
import logging
from typing import Annotated
from autogpt_libs import auth
from fastapi import APIRouter, HTTPException, Path, Security
from backend.data.db_accessors import platform_linking_db
from backend.platform_linking.models import (
ConfirmLinkResponse,
ConfirmUserLinkResponse,
DeleteLinkResponse,
LinkTokenInfoResponse,
PlatformLinkInfo,
PlatformUserLinkInfo,
)
from backend.util.exceptions import (
LinkAlreadyExistsError,
LinkFlowMismatchError,
LinkTokenExpiredError,
NotAuthorizedError,
NotFoundError,
)
logger = logging.getLogger(__name__)
router = APIRouter()
TokenPath = Annotated[
str,
Path(max_length=64, pattern=r"^[A-Za-z0-9_-]+$"),
]
def _translate(exc: Exception) -> HTTPException:
if isinstance(exc, NotFoundError):
return HTTPException(status_code=404, detail=str(exc))
if isinstance(exc, NotAuthorizedError):
return HTTPException(status_code=403, detail=str(exc))
if isinstance(exc, LinkAlreadyExistsError):
return HTTPException(status_code=409, detail=str(exc))
if isinstance(exc, LinkTokenExpiredError):
return HTTPException(status_code=410, detail=str(exc))
if isinstance(exc, LinkFlowMismatchError):
return HTTPException(status_code=400, detail=str(exc))
return HTTPException(status_code=500, detail="Internal error.")
@router.get(
"/tokens/{token}/info",
response_model=LinkTokenInfoResponse,
dependencies=[Security(auth.requires_user)],
summary="Get display info for a link token",
)
async def get_link_token_info_route(token: TokenPath) -> LinkTokenInfoResponse:
try:
return await platform_linking_db().get_link_token_info(token)
except (NotFoundError, LinkTokenExpiredError) as exc:
raise _translate(exc) from exc
@router.post(
"/tokens/{token}/confirm",
response_model=ConfirmLinkResponse,
dependencies=[Security(auth.requires_user)],
summary="Confirm a SERVER link token (user must be authenticated)",
)
async def confirm_link_token(
token: TokenPath,
user_id: Annotated[str, Security(auth.get_user_id)],
) -> ConfirmLinkResponse:
try:
return await platform_linking_db().confirm_server_link(token, user_id)
except (
NotFoundError,
LinkFlowMismatchError,
LinkTokenExpiredError,
LinkAlreadyExistsError,
) as exc:
raise _translate(exc) from exc
@router.post(
"/user-tokens/{token}/confirm",
response_model=ConfirmUserLinkResponse,
dependencies=[Security(auth.requires_user)],
summary="Confirm a USER link token (user must be authenticated)",
)
async def confirm_user_link_token(
token: TokenPath,
user_id: Annotated[str, Security(auth.get_user_id)],
) -> ConfirmUserLinkResponse:
try:
return await platform_linking_db().confirm_user_link(token, user_id)
except (
NotFoundError,
LinkFlowMismatchError,
LinkTokenExpiredError,
LinkAlreadyExistsError,
) as exc:
raise _translate(exc) from exc
@router.get(
"/links",
response_model=list[PlatformLinkInfo],
dependencies=[Security(auth.requires_user)],
summary="List all platform servers linked to the authenticated user",
)
async def list_my_links(
user_id: Annotated[str, Security(auth.get_user_id)],
) -> list[PlatformLinkInfo]:
return await platform_linking_db().list_server_links(user_id)
@router.get(
"/user-links",
response_model=list[PlatformUserLinkInfo],
dependencies=[Security(auth.requires_user)],
summary="List all DM links for the authenticated user",
)
async def list_my_user_links(
user_id: Annotated[str, Security(auth.get_user_id)],
) -> list[PlatformUserLinkInfo]:
return await platform_linking_db().list_user_links(user_id)
@router.delete(
"/links/{link_id}",
response_model=DeleteLinkResponse,
dependencies=[Security(auth.requires_user)],
summary="Unlink a platform server",
)
async def delete_link(
link_id: str,
user_id: Annotated[str, Security(auth.get_user_id)],
) -> DeleteLinkResponse:
try:
return await platform_linking_db().delete_server_link(link_id, user_id)
except (NotFoundError, NotAuthorizedError) as exc:
raise _translate(exc) from exc
@router.delete(
"/user-links/{link_id}",
response_model=DeleteLinkResponse,
dependencies=[Security(auth.requires_user)],
summary="Unlink a DM / user link",
)
async def delete_user_link_route(
link_id: str,
user_id: Annotated[str, Security(auth.get_user_id)],
) -> DeleteLinkResponse:
try:
return await platform_linking_db().delete_user_link(link_id, user_id)
except (NotFoundError, NotAuthorizedError) as exc:
raise _translate(exc) from exc

View File

@@ -0,0 +1,264 @@
"""Route tests: domain exceptions → HTTPException status codes."""
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from fastapi import HTTPException
from backend.util.exceptions import (
LinkAlreadyExistsError,
LinkFlowMismatchError,
LinkTokenExpiredError,
NotAuthorizedError,
NotFoundError,
)
def _db_mock(**method_configs):
"""Return a mock of the accessor's return value with the given AsyncMocks."""
db = MagicMock()
for name, mock in method_configs.items():
setattr(db, name, mock)
return db
class TestTokenInfoRouteTranslation:
@pytest.mark.asyncio
async def test_not_found_maps_to_404(self):
from backend.api.features.platform_linking.routes import (
get_link_token_info_route,
)
db = _db_mock(
get_link_token_info=AsyncMock(side_effect=NotFoundError("missing"))
)
with patch(
"backend.api.features.platform_linking.routes.platform_linking_db",
return_value=db,
):
with pytest.raises(HTTPException) as exc:
await get_link_token_info_route(token="abc")
assert exc.value.status_code == 404
@pytest.mark.asyncio
async def test_expired_maps_to_410(self):
from backend.api.features.platform_linking.routes import (
get_link_token_info_route,
)
db = _db_mock(
get_link_token_info=AsyncMock(side_effect=LinkTokenExpiredError("expired"))
)
with patch(
"backend.api.features.platform_linking.routes.platform_linking_db",
return_value=db,
):
with pytest.raises(HTTPException) as exc:
await get_link_token_info_route(token="abc")
assert exc.value.status_code == 410
class TestConfirmLinkRouteTranslation:
@pytest.mark.asyncio
@pytest.mark.parametrize(
"exc,expected_status",
[
(NotFoundError("missing"), 404),
(LinkFlowMismatchError("wrong flow"), 400),
(LinkTokenExpiredError("expired"), 410),
(LinkAlreadyExistsError("already"), 409),
],
)
async def test_translation(self, exc: Exception, expected_status: int):
from backend.api.features.platform_linking.routes import confirm_link_token
db = _db_mock(confirm_server_link=AsyncMock(side_effect=exc))
with patch(
"backend.api.features.platform_linking.routes.platform_linking_db",
return_value=db,
):
with pytest.raises(HTTPException) as ctx:
await confirm_link_token(token="abc", user_id="u1")
assert ctx.value.status_code == expected_status
class TestConfirmUserLinkRouteTranslation:
@pytest.mark.asyncio
@pytest.mark.parametrize(
"exc,expected_status",
[
(NotFoundError("missing"), 404),
(LinkFlowMismatchError("wrong flow"), 400),
(LinkTokenExpiredError("expired"), 410),
(LinkAlreadyExistsError("already"), 409),
],
)
async def test_translation(self, exc: Exception, expected_status: int):
from backend.api.features.platform_linking.routes import confirm_user_link_token
db = _db_mock(confirm_user_link=AsyncMock(side_effect=exc))
with patch(
"backend.api.features.platform_linking.routes.platform_linking_db",
return_value=db,
):
with pytest.raises(HTTPException) as ctx:
await confirm_user_link_token(token="abc", user_id="u1")
assert ctx.value.status_code == expected_status
class TestDeleteLinkRouteTranslation:
@pytest.mark.asyncio
async def test_not_found_maps_to_404(self):
from backend.api.features.platform_linking.routes import delete_link
db = _db_mock(
delete_server_link=AsyncMock(side_effect=NotFoundError("missing"))
)
with patch(
"backend.api.features.platform_linking.routes.platform_linking_db",
return_value=db,
):
with pytest.raises(HTTPException) as exc:
await delete_link(link_id="x", user_id="u1")
assert exc.value.status_code == 404
@pytest.mark.asyncio
async def test_not_owned_maps_to_403(self):
from backend.api.features.platform_linking.routes import delete_link
db = _db_mock(
delete_server_link=AsyncMock(side_effect=NotAuthorizedError("nope"))
)
with patch(
"backend.api.features.platform_linking.routes.platform_linking_db",
return_value=db,
):
with pytest.raises(HTTPException) as exc:
await delete_link(link_id="x", user_id="u1")
assert exc.value.status_code == 403
class TestDeleteUserLinkRouteTranslation:
@pytest.mark.asyncio
async def test_not_found_maps_to_404(self):
from backend.api.features.platform_linking.routes import delete_user_link_route
db = _db_mock(delete_user_link=AsyncMock(side_effect=NotFoundError("missing")))
with patch(
"backend.api.features.platform_linking.routes.platform_linking_db",
return_value=db,
):
with pytest.raises(HTTPException) as exc:
await delete_user_link_route(link_id="x", user_id="u1")
assert exc.value.status_code == 404
@pytest.mark.asyncio
async def test_not_owned_maps_to_403(self):
from backend.api.features.platform_linking.routes import delete_user_link_route
db = _db_mock(
delete_user_link=AsyncMock(side_effect=NotAuthorizedError("nope"))
)
with patch(
"backend.api.features.platform_linking.routes.platform_linking_db",
return_value=db,
):
with pytest.raises(HTTPException) as exc:
await delete_user_link_route(link_id="x", user_id="u1")
assert exc.value.status_code == 403
# ── Adversarial: malformed token path params ──────────────────────────
class TestAdversarialTokenPath:
# TokenPath enforces `^[A-Za-z0-9_-]+$` + max_length=64.
@pytest.fixture
def client(self):
import fastapi
from autogpt_libs.auth import get_user_id, requires_user
from fastapi.testclient import TestClient
import backend.api.features.platform_linking.routes as routes_mod
app = fastapi.FastAPI()
app.dependency_overrides[requires_user] = lambda: None
app.dependency_overrides[get_user_id] = lambda: "caller-user"
app.include_router(routes_mod.router, prefix="/api/platform-linking")
return TestClient(app)
def test_rejects_token_with_special_chars(self, client):
response = client.get("/api/platform-linking/tokens/bad%24token/info")
assert response.status_code == 422
def test_rejects_token_with_path_traversal(self, client):
for probe in ("..%2F..", "foo..bar", "foo%2Fbar"):
response = client.get(f"/api/platform-linking/tokens/{probe}/info")
assert response.status_code in (
404,
422,
), f"path-traversal probe {probe!r} returned {response.status_code}"
def test_rejects_token_too_long(self, client):
long_token = "a" * 65
response = client.get(f"/api/platform-linking/tokens/{long_token}/info")
assert response.status_code == 422
def test_accepts_token_at_max_length(self, client):
token = "a" * 64
db = _db_mock(
get_link_token_info=AsyncMock(side_effect=NotFoundError("missing"))
)
with patch(
"backend.api.features.platform_linking.routes.platform_linking_db",
return_value=db,
):
response = client.get(f"/api/platform-linking/tokens/{token}/info")
assert response.status_code == 404
def test_accepts_urlsafe_b64_token_shape(self, client):
db = _db_mock(
get_link_token_info=AsyncMock(side_effect=NotFoundError("missing"))
)
with patch(
"backend.api.features.platform_linking.routes.platform_linking_db",
return_value=db,
):
response = client.get("/api/platform-linking/tokens/abc-_XYZ123-_abc/info")
assert response.status_code == 404
def test_confirm_rejects_malformed_token(self, client):
response = client.post("/api/platform-linking/tokens/bad%24token/confirm")
assert response.status_code == 422
class TestAdversarialDeleteLinkId:
"""DELETE link_id has no regex — ensure weird values are handled via
NotFoundError (no crash, no cross-user leak)."""
@pytest.fixture
def client(self):
import fastapi
from autogpt_libs.auth import get_user_id, requires_user
from fastapi.testclient import TestClient
import backend.api.features.platform_linking.routes as routes_mod
app = fastapi.FastAPI()
app.dependency_overrides[requires_user] = lambda: None
app.dependency_overrides[get_user_id] = lambda: "caller-user"
app.include_router(routes_mod.router, prefix="/api/platform-linking")
return TestClient(app)
def test_weird_link_id_returns_404(self, client):
db = _db_mock(
delete_server_link=AsyncMock(side_effect=NotFoundError("missing"))
)
with patch(
"backend.api.features.platform_linking.routes.platform_linking_db",
return_value=db,
):
for link_id in ("'; DROP TABLE links;--", "../../etc/passwd", ""):
response = client.delete(f"/api/platform-linking/links/{link_id}")
assert response.status_code in (404, 405)

View File

@@ -189,6 +189,7 @@ async def test_create_store_submission(mocker):
notifyOnAgentApproved=True,
notifyOnAgentRejected=True,
timezone="Europe/Delft",
subscriptionTier=prisma.enums.SubscriptionTier.FREE, # type: ignore[reportCallIssue,reportAttributeAccessIssue]
)
mock_agent = prisma.models.AgentGraph(
id="agent-id",

File diff suppressed because it is too large Load Diff

View File

@@ -5,7 +5,8 @@ import time
import uuid
from collections import defaultdict
from datetime import datetime, timezone
from typing import Annotated, Any, Sequence, get_args
from typing import Annotated, Any, Literal, Sequence, cast, get_args
from urllib.parse import urlparse
import pydantic
import stripe
@@ -24,10 +25,12 @@ from fastapi import (
UploadFile,
)
from fastapi.concurrency import run_in_threadpool
from pydantic import BaseModel
from prisma.enums import SubscriptionTier
from pydantic import BaseModel, Field
from starlette.status import HTTP_204_NO_CONTENT, HTTP_404_NOT_FOUND
from typing_extensions import Optional, TypedDict
from backend.api.features.workspace.routes import create_file_download_response
from backend.api.model import (
CreateAPIKeyRequest,
CreateAPIKeyResponse,
@@ -47,12 +50,24 @@ from backend.data.auth import api_key as api_key_db
from backend.data.block import BlockInput, CompletedBlockOutput
from backend.data.credit import (
AutoTopUpConfig,
PendingChangeUnknown,
RefundRequest,
TransactionHistory,
UserCredit,
cancel_stripe_subscription,
create_subscription_checkout,
get_auto_top_up,
get_pending_subscription_change,
get_proration_credit_cents,
get_subscription_price_id,
get_user_credit_model,
handle_subscription_payment_failure,
modify_stripe_subscription_for_tier,
release_pending_subscription_schedule,
set_auto_top_up,
set_subscription_tier,
sync_subscription_from_stripe,
sync_subscription_schedule_from_stripe,
)
from backend.data.graph import GraphSettings
from backend.data.model import CredentialsMetaInput, UserOnboarding
@@ -82,6 +97,7 @@ from backend.data.user import (
update_user_notification_preference,
update_user_timezone,
)
from backend.data.workspace import get_workspace_file_by_id
from backend.executor import scheduler
from backend.executor import utils as execution_utils
from backend.integrations.webhooks.graph_lifecycle_hooks import (
@@ -661,9 +677,12 @@ async def configure_user_auto_top_up(
raise HTTPException(status_code=422, detail=str(e))
raise
await set_auto_top_up(
user_id, AutoTopUpConfig(threshold=request.threshold, amount=request.amount)
)
try:
await set_auto_top_up(
user_id, AutoTopUpConfig(threshold=request.threshold, amount=request.amount)
)
except ValueError as e:
raise HTTPException(status_code=422, detail=str(e))
return "Auto top-up settings updated"
@@ -679,41 +698,430 @@ async def get_user_auto_top_up(
return await get_auto_top_up(user_id)
class SubscriptionTierRequest(BaseModel):
tier: Literal["FREE", "PRO", "BUSINESS"]
success_url: str = ""
cancel_url: str = ""
class SubscriptionStatusResponse(BaseModel):
tier: Literal["FREE", "PRO", "BUSINESS", "ENTERPRISE"]
monthly_cost: int # amount in cents (Stripe convention)
tier_costs: dict[str, int] # tier name -> amount in cents
proration_credit_cents: int # unused portion of current sub to convert on upgrade
pending_tier: Optional[Literal["FREE", "PRO", "BUSINESS"]] = None
pending_tier_effective_at: Optional[datetime] = None
url: str = Field(
default="",
description=(
"Populated only when POST /credits/subscription starts a Stripe Checkout"
" Session (FREE → paid upgrade). Empty string in all other branches —"
" the client redirects to this URL when non-empty."
),
)
def _validate_checkout_redirect_url(url: str) -> bool:
"""Return True if `url` matches the configured frontend origin.
Prevents open-redirect: attackers must not be able to supply arbitrary
success_url/cancel_url that Stripe will redirect users to after checkout.
Pre-parse rejection rules (applied before urlparse):
- Backslashes (``\\``) are normalised differently across parsers/browsers.
- Control characters (U+0000U+001F) are not valid in URLs and may confuse
some URL-parsing implementations.
"""
# Reject characters that can confuse URL parsers before any parsing.
if "\\" in url:
return False
if any(ord(c) < 0x20 for c in url):
return False
allowed = settings.config.frontend_base_url or settings.config.platform_base_url
if not allowed:
# No configured origin — refuse to validate rather than allow arbitrary URLs.
return False
try:
parsed = urlparse(url)
allowed_parsed = urlparse(allowed)
except ValueError:
return False
if parsed.scheme not in ("http", "https"):
return False
# Reject ``user:pass@host`` authority tricks — ``@`` in the netloc component
# can trick browsers into connecting to a different host than displayed.
# ``@`` in query/fragment is harmless and must be allowed.
if "@" in parsed.netloc:
return False
return (
parsed.scheme == allowed_parsed.scheme
and parsed.netloc == allowed_parsed.netloc
)
@cached(ttl_seconds=300, maxsize=32, cache_none=False)
async def _get_stripe_price_amount(price_id: str) -> int | None:
"""Return the unit_amount (cents) for a Stripe Price ID, cached for 5 minutes.
Returns ``None`` on transient Stripe errors. ``cache_none=False`` opts out
of caching the ``None`` sentinel so the next request retries Stripe instead
of being served a stale "no price" for the rest of the TTL window. Callers
should treat ``None`` as an unknown price and fall back to 0.
Stripe prices rarely change; caching avoids a ~200-600 ms Stripe round-trip on
every GET /credits/subscription page load and reduces quota consumption.
"""
try:
price = await run_in_threadpool(stripe.Price.retrieve, price_id)
return price.unit_amount or 0
except stripe.StripeError:
logger.warning(
"Failed to retrieve Stripe price %s — returning None (not cached)",
price_id,
)
return None
@v1_router.get(
path="/credits/subscription",
summary="Get subscription tier, current cost, and all tier costs",
operation_id="getSubscriptionStatus",
tags=["credits"],
dependencies=[Security(requires_user)],
)
async def get_subscription_status(
user_id: Annotated[str, Security(get_user_id)],
) -> SubscriptionStatusResponse:
user = await get_user_by_id(user_id)
tier = user.subscription_tier or SubscriptionTier.FREE
paid_tiers = [SubscriptionTier.PRO, SubscriptionTier.BUSINESS]
price_ids = await asyncio.gather(
*[get_subscription_price_id(t) for t in paid_tiers]
)
tier_costs: dict[str, int] = {
SubscriptionTier.FREE.value: 0,
SubscriptionTier.ENTERPRISE.value: 0,
}
async def _cost(pid: str | None) -> int:
return (await _get_stripe_price_amount(pid) or 0) if pid else 0
costs = await asyncio.gather(*[_cost(pid) for pid in price_ids])
for t, cost in zip(paid_tiers, costs):
tier_costs[t.value] = cost
current_monthly_cost = tier_costs.get(tier.value, 0)
proration_credit = await get_proration_credit_cents(user_id, current_monthly_cost)
try:
pending = await get_pending_subscription_change(user_id)
except (stripe.StripeError, PendingChangeUnknown):
# Swallow Stripe-side failures (rate limits, transient network) AND
# PendingChangeUnknown (LaunchDarkly price-id lookup failed). Both
# propagate past the cache so the next request retries fresh instead
# of serving a stale None for the TTL window. Let real bugs (KeyError,
# AttributeError, etc.) propagate so they surface in Sentry.
logger.exception(
"get_subscription_status: failed to resolve pending change for user %s",
user_id,
)
pending = None
response = SubscriptionStatusResponse(
tier=tier.value,
monthly_cost=current_monthly_cost,
tier_costs=tier_costs,
proration_credit_cents=proration_credit,
)
if pending is not None:
pending_tier_enum, pending_effective_at = pending
if pending_tier_enum == SubscriptionTier.FREE:
response.pending_tier = "FREE"
elif pending_tier_enum == SubscriptionTier.PRO:
response.pending_tier = "PRO"
elif pending_tier_enum == SubscriptionTier.BUSINESS:
response.pending_tier = "BUSINESS"
if response.pending_tier is not None:
response.pending_tier_effective_at = pending_effective_at
return response
@v1_router.post(
path="/credits/subscription",
summary="Update subscription tier or start a Stripe Checkout session",
operation_id="updateSubscriptionTier",
tags=["credits"],
dependencies=[Security(requires_user)],
)
async def update_subscription_tier(
request: SubscriptionTierRequest,
user_id: Annotated[str, Security(get_user_id)],
) -> SubscriptionStatusResponse:
# Pydantic validates tier is one of FREE/PRO/BUSINESS via Literal type.
tier = SubscriptionTier(request.tier)
# ENTERPRISE tier is admin-managed — block self-service changes from ENTERPRISE users.
user = await get_user_by_id(user_id)
if (user.subscription_tier or SubscriptionTier.FREE) == SubscriptionTier.ENTERPRISE:
raise HTTPException(
status_code=403,
detail="ENTERPRISE subscription changes must be managed by an administrator",
)
# Same-tier request = "stay on my current tier" = cancel any pending
# scheduled change (paid→paid downgrade or paid→FREE cancel). This is the
# collapsed behaviour that replaces the old /credits/subscription/cancel-pending
# route. Safe when no pending change exists: release_pending_subscription_schedule
# returns False and we simply return the current status.
if (user.subscription_tier or SubscriptionTier.FREE) == tier:
try:
await release_pending_subscription_schedule(user_id)
except stripe.StripeError as e:
logger.exception(
"Stripe error releasing pending subscription change for user %s: %s",
user_id,
e,
)
raise HTTPException(
status_code=502,
detail=(
"Unable to cancel the pending subscription change right now. "
"Please try again or contact support."
),
)
return await get_subscription_status(user_id)
payment_enabled = await is_feature_enabled(
Flag.ENABLE_PLATFORM_PAYMENT, user_id, default=False
)
# Downgrade to FREE: schedule Stripe cancellation at period end so the user
# keeps their tier for the time they already paid for. The DB tier is NOT
# updated here when a subscription exists — the customer.subscription.deleted
# webhook fires at period end and downgrades to FREE then.
# Exception: if the user has no active Stripe subscription (e.g. admin-granted
# tier), cancel_stripe_subscription returns False and we update the DB tier
# immediately since no webhook will ever fire.
# When payment is disabled entirely, update the DB tier directly.
if tier == SubscriptionTier.FREE:
if payment_enabled:
try:
had_subscription = await cancel_stripe_subscription(user_id)
except stripe.StripeError as e:
# Log full Stripe error server-side but return a generic message
# to the client — raw Stripe errors can leak customer/sub IDs and
# infrastructure config details.
logger.exception(
"Stripe error cancelling subscription for user %s: %s",
user_id,
e,
)
raise HTTPException(
status_code=502,
detail=(
"Unable to cancel your subscription right now. "
"Please try again or contact support."
),
)
if not had_subscription:
# No active Stripe subscription found — the user was on an
# admin-granted tier. Update DB immediately since the
# subscription.deleted webhook will never fire.
await set_subscription_tier(user_id, tier)
return await get_subscription_status(user_id)
await set_subscription_tier(user_id, tier)
return await get_subscription_status(user_id)
# Paid tier changes require payment to be enabled — block self-service upgrades
# when the flag is off. Admins use the /api/admin/ routes to set tiers directly.
if not payment_enabled:
raise HTTPException(
status_code=422,
detail=f"Subscription not available for tier {tier}",
)
# Paid→paid tier change: if the user already has a Stripe subscription,
# modify it in-place with proration instead of creating a new Checkout
# Session. This preserves remaining paid time and avoids double-charging.
# The customer.subscription.updated webhook fires and updates the DB tier.
current_tier = user.subscription_tier or SubscriptionTier.FREE
if current_tier in (SubscriptionTier.PRO, SubscriptionTier.BUSINESS):
try:
modified = await modify_stripe_subscription_for_tier(user_id, tier)
if modified:
return await get_subscription_status(user_id)
# modify_stripe_subscription_for_tier returns False when no active
# Stripe subscription exists — i.e. the user has an admin-granted
# paid tier with no Stripe record. In that case, update the DB
# tier directly (same as the FREE-downgrade path for admin-granted
# users) rather than sending them through a new Checkout Session.
await set_subscription_tier(user_id, tier)
return await get_subscription_status(user_id)
except ValueError as e:
raise HTTPException(status_code=422, detail=str(e))
except stripe.StripeError as e:
logger.exception(
"Stripe error modifying subscription for user %s: %s", user_id, e
)
raise HTTPException(
status_code=502,
detail=(
"Unable to update your subscription right now. "
"Please try again or contact support."
),
)
# Paid upgrade from FREE → create Stripe Checkout Session.
if not request.success_url or not request.cancel_url:
raise HTTPException(
status_code=422,
detail="success_url and cancel_url are required for paid tier upgrades",
)
# Open-redirect protection: both URLs must point to the configured frontend
# origin, otherwise an attacker could use our Stripe integration as a
# redirector to arbitrary phishing sites.
#
# Fail early with a clear 503 if the server is misconfigured (neither
# frontend_base_url nor platform_base_url set), so operators get an
# actionable error instead of the misleading "must match the platform
# frontend origin" 422 that _validate_checkout_redirect_url would otherwise
# produce when `allowed` is empty.
if not (settings.config.frontend_base_url or settings.config.platform_base_url):
logger.error(
"update_subscription_tier: neither frontend_base_url nor "
"platform_base_url is configured; cannot validate checkout redirect URLs"
)
raise HTTPException(
status_code=503,
detail=(
"Payment redirect URLs cannot be validated: "
"frontend_base_url or platform_base_url must be set on the server."
),
)
if not _validate_checkout_redirect_url(
request.success_url
) or not _validate_checkout_redirect_url(request.cancel_url):
raise HTTPException(
status_code=422,
detail="success_url and cancel_url must match the platform frontend origin",
)
try:
url = await create_subscription_checkout(
user_id=user_id,
tier=tier,
success_url=request.success_url,
cancel_url=request.cancel_url,
)
except ValueError as e:
raise HTTPException(status_code=422, detail=str(e))
except stripe.StripeError as e:
logger.exception(
"Stripe error creating checkout session for user %s: %s", user_id, e
)
raise HTTPException(
status_code=502,
detail=(
"Unable to start checkout right now. "
"Please try again or contact support."
),
)
status = await get_subscription_status(user_id)
status.url = url
return status
@v1_router.post(
path="/credits/stripe_webhook", summary="Handle Stripe webhooks", tags=["credits"]
)
async def stripe_webhook(request: Request):
webhook_secret = settings.secrets.stripe_webhook_secret
if not webhook_secret:
# Guard: an empty secret allows HMAC forgery (attacker can compute a valid
# signature over the same empty key). Reject all webhook calls when unconfigured.
logger.error(
"stripe_webhook: STRIPE_WEBHOOK_SECRET is not configured — "
"rejecting request to prevent signature bypass"
)
raise HTTPException(status_code=503, detail="Webhook not configured")
# Get the raw request body
payload = await request.body()
# Get the signature header
sig_header = request.headers.get("stripe-signature")
try:
event = stripe.Webhook.construct_event(
payload, sig_header, settings.secrets.stripe_webhook_secret
)
except ValueError as e:
event = stripe.Webhook.construct_event(payload, sig_header, webhook_secret)
except ValueError:
# Invalid payload
raise HTTPException(
status_code=400, detail=f"Invalid payload: {str(e) or type(e).__name__}"
)
except stripe.SignatureVerificationError as e:
raise HTTPException(status_code=400, detail="Invalid payload")
except stripe.SignatureVerificationError:
# Invalid signature
raise HTTPException(
status_code=400, detail=f"Invalid signature: {str(e) or type(e).__name__}"
raise HTTPException(status_code=400, detail="Invalid signature")
# Defensive payload extraction. A malformed payload (missing/non-dict
# `data.object`, missing `id`) would otherwise raise KeyError/TypeError
# AFTER signature verification — which Stripe interprets as a delivery
# failure and retries forever, while spamming Sentry with no useful info.
# Acknowledge with 200 and a warning so Stripe stops retrying.
event_type = event.get("type", "")
event_data = event.get("data") or {}
data_object = event_data.get("object") if isinstance(event_data, dict) else None
if not isinstance(data_object, dict):
logger.warning(
"stripe_webhook: %s missing or non-dict data.object; ignoring",
event_type,
)
return Response(status_code=200)
if (
event["type"] == "checkout.session.completed"
or event["type"] == "checkout.session.async_payment_succeeded"
if event_type in (
"checkout.session.completed",
"checkout.session.async_payment_succeeded",
):
await UserCredit().fulfill_checkout(session_id=event["data"]["object"]["id"])
session_id = data_object.get("id")
if not session_id:
logger.warning(
"stripe_webhook: %s missing data.object.id; ignoring", event_type
)
return Response(status_code=200)
await UserCredit().fulfill_checkout(session_id=session_id)
if event["type"] == "charge.dispute.created":
await UserCredit().handle_dispute(event["data"]["object"])
if event_type in (
"customer.subscription.created",
"customer.subscription.updated",
"customer.subscription.deleted",
):
await sync_subscription_from_stripe(data_object)
if event["type"] == "refund.created" or event["type"] == "charge.dispute.closed":
await UserCredit().deduct_credits(event["data"]["object"])
# `subscription_schedule.updated` is deliberately omitted: our own
# `SubscriptionSchedule.create` + `.modify` calls in
# `_schedule_downgrade_at_period_end` would fire that event right back at us
# and loop redundant traffic through this handler. We only care about state
# transitions (released / completed); phase advance to the new price is
# already covered by `customer.subscription.updated`.
if event_type in (
"subscription_schedule.released",
"subscription_schedule.completed",
):
await sync_subscription_schedule_from_stripe(data_object)
if event_type == "invoice.payment_failed":
await handle_subscription_payment_failure(data_object)
# `handle_dispute` and `deduct_credits` expect Stripe SDK typed objects
# (Dispute/Refund). The Stripe webhook payload's `data.object` is a
# StripeObject (a dict subclass) carrying that runtime shape, so we cast
# to satisfy the type checker without changing runtime behaviour.
if event_type == "charge.dispute.created":
await UserCredit().handle_dispute(cast(stripe.Dispute, data_object))
if event_type == "refund.created" or event_type == "charge.dispute.closed":
await UserCredit().deduct_credits(
cast("stripe.Refund | stripe.Dispute", data_object)
)
return Response(status_code=200)
@@ -1297,6 +1705,10 @@ async def enable_execution_sharing(
# Generate a unique share token
share_token = str(uuid.uuid4())
# Remove stale allowlist records before updating the token — prevents a
# window where old records + new token could coexist.
await execution_db.delete_shared_execution_files(execution_id=graph_exec_id)
# Update the execution with share info
await execution_db.update_graph_execution_share_status(
execution_id=graph_exec_id,
@@ -1306,6 +1718,14 @@ async def enable_execution_sharing(
shared_at=datetime.now(timezone.utc),
)
# Create allowlist of workspace files referenced in outputs
await execution_db.create_shared_execution_files(
execution_id=graph_exec_id,
share_token=share_token,
user_id=user_id,
outputs=execution.outputs,
)
# Return the share URL
frontend_url = settings.config.frontend_base_url or "http://localhost:3000"
share_url = f"{frontend_url}/share/{share_token}"
@@ -1331,6 +1751,9 @@ async def disable_execution_sharing(
if not execution:
raise HTTPException(status_code=404, detail="Execution not found")
# Remove shared file allowlist records
await execution_db.delete_shared_execution_files(execution_id=graph_exec_id)
# Remove share info
await execution_db.update_graph_execution_share_status(
execution_id=graph_exec_id,
@@ -1356,6 +1779,43 @@ async def get_shared_execution(
return execution
@v1_router.get(
"/public/shared/{share_token}/files/{file_id}/download",
summary="Download a file from a shared execution",
operation_id="download_shared_file",
tags=["graphs"],
)
async def download_shared_file(
share_token: Annotated[
str,
Path(pattern=r"^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$"),
],
file_id: Annotated[
str,
Path(pattern=r"^[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{4}-[0-9a-f]{12}$"),
],
) -> Response:
"""Download a workspace file from a shared execution (no auth required).
Validates that the file was explicitly exposed when sharing was enabled.
Returns a uniform 404 for all failure modes to prevent enumeration attacks.
"""
# Single-query validation against the allowlist
execution_id = await execution_db.get_shared_execution_file(
share_token=share_token, file_id=file_id
)
if not execution_id:
raise HTTPException(status_code=404, detail="Not found")
# Look up the actual file (no workspace scoping needed — the allowlist
# already validated that this file belongs to the shared execution)
file = await get_workspace_file_by_id(file_id)
if not file:
raise HTTPException(status_code=404, detail="Not found")
return await create_file_download_response(file, inline=True)
########################################################
##################### Schedules ########################
########################################################

View File

@@ -0,0 +1,157 @@
"""Tests for the public shared file download endpoint."""
from datetime import datetime, timezone
from unittest.mock import AsyncMock, patch
import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from starlette.responses import Response
from backend.api.features.v1 import v1_router
from backend.data.workspace import WorkspaceFile
app = FastAPI()
app.include_router(v1_router, prefix="/api")
VALID_TOKEN = "550e8400-e29b-41d4-a716-446655440000"
VALID_FILE_ID = "6ba7b810-9dad-11d1-80b4-00c04fd430c8"
def _make_workspace_file(**overrides) -> WorkspaceFile:
defaults = {
"id": VALID_FILE_ID,
"workspace_id": "ws-001",
"created_at": datetime(2026, 1, 1, tzinfo=timezone.utc),
"updated_at": datetime(2026, 1, 1, tzinfo=timezone.utc),
"name": "image.png",
"path": "/image.png",
"storage_path": "local://uploads/image.png",
"mime_type": "image/png",
"size_bytes": 4,
"checksum": None,
"is_deleted": False,
"deleted_at": None,
"metadata": {},
}
defaults.update(overrides)
return WorkspaceFile(**defaults)
def _mock_download_response(**kwargs):
"""Return an AsyncMock that resolves to a Response with inline disposition."""
async def _handler(file, *, inline=False):
return Response(
content=b"\x89PNG",
media_type="image/png",
headers={
"Content-Disposition": (
'inline; filename="image.png"'
if inline
else 'attachment; filename="image.png"'
),
"Content-Length": "4",
},
)
return _handler
class TestDownloadSharedFile:
"""Tests for GET /api/public/shared/{token}/files/{id}/download."""
@pytest.fixture(autouse=True)
def _client(self):
self.client = TestClient(app, raise_server_exceptions=False)
def test_valid_token_and_file_returns_inline_content(self):
with (
patch(
"backend.api.features.v1.execution_db.get_shared_execution_file",
new_callable=AsyncMock,
return_value="exec-123",
),
patch(
"backend.api.features.v1.get_workspace_file_by_id",
new_callable=AsyncMock,
return_value=_make_workspace_file(),
),
patch(
"backend.api.features.v1.create_file_download_response",
side_effect=_mock_download_response(),
),
):
response = self.client.get(
f"/api/public/shared/{VALID_TOKEN}/files/{VALID_FILE_ID}/download"
)
assert response.status_code == 200
assert response.content == b"\x89PNG"
assert "inline" in response.headers["Content-Disposition"]
def test_invalid_token_format_returns_422(self):
response = self.client.get(
f"/api/public/shared/not-a-uuid/files/{VALID_FILE_ID}/download"
)
assert response.status_code == 422
def test_token_not_in_allowlist_returns_404(self):
with patch(
"backend.api.features.v1.execution_db.get_shared_execution_file",
new_callable=AsyncMock,
return_value=None,
):
response = self.client.get(
f"/api/public/shared/{VALID_TOKEN}/files/{VALID_FILE_ID}/download"
)
assert response.status_code == 404
def test_file_missing_from_workspace_returns_404(self):
with (
patch(
"backend.api.features.v1.execution_db.get_shared_execution_file",
new_callable=AsyncMock,
return_value="exec-123",
),
patch(
"backend.api.features.v1.get_workspace_file_by_id",
new_callable=AsyncMock,
return_value=None,
),
):
response = self.client.get(
f"/api/public/shared/{VALID_TOKEN}/files/{VALID_FILE_ID}/download"
)
assert response.status_code == 404
def test_uniform_404_prevents_enumeration(self):
"""Both failure modes produce identical 404 — no information leak."""
with patch(
"backend.api.features.v1.execution_db.get_shared_execution_file",
new_callable=AsyncMock,
return_value=None,
):
resp_no_allow = self.client.get(
f"/api/public/shared/{VALID_TOKEN}/files/{VALID_FILE_ID}/download"
)
with (
patch(
"backend.api.features.v1.execution_db.get_shared_execution_file",
new_callable=AsyncMock,
return_value="exec-123",
),
patch(
"backend.api.features.v1.get_workspace_file_by_id",
new_callable=AsyncMock,
return_value=None,
),
):
resp_no_file = self.client.get(
f"/api/public/shared/{VALID_TOKEN}/files/{VALID_FILE_ID}/download"
)
assert resp_no_allow.status_code == 404
assert resp_no_file.status_code == 404
assert resp_no_allow.json() == resp_no_file.json()

View File

@@ -12,7 +12,7 @@ import fastapi
from autogpt_libs.auth.dependencies import get_user_id, requires_user
from fastapi import Query, UploadFile
from fastapi.responses import Response
from pydantic import BaseModel
from pydantic import BaseModel, Field
from backend.data.workspace import (
WorkspaceFile,
@@ -29,7 +29,9 @@ from backend.util.workspace import WorkspaceManager
from backend.util.workspace_storage import get_workspace_storage
def _sanitize_filename_for_header(filename: str) -> str:
def _sanitize_filename_for_header(
filename: str, disposition: str = "attachment"
) -> str:
"""
Sanitize filename for Content-Disposition header to prevent header injection.
@@ -44,11 +46,11 @@ def _sanitize_filename_for_header(filename: str) -> str:
# Check if filename has non-ASCII characters
try:
sanitized.encode("ascii")
return f'attachment; filename="{sanitized}"'
return f'{disposition}; filename="{sanitized}"'
except UnicodeEncodeError:
# Use RFC5987 encoding for UTF-8 filenames
encoded = quote(sanitized, safe="")
return f"attachment; filename*=UTF-8''{encoded}"
return f"{disposition}; filename*=UTF-8''{encoded}"
logger = logging.getLogger(__name__)
@@ -58,19 +60,26 @@ router = fastapi.APIRouter(
)
def _create_streaming_response(content: bytes, file: WorkspaceFile) -> Response:
def _create_streaming_response(
content: bytes, file: WorkspaceFile, *, inline: bool = False
) -> Response:
"""Create a streaming response for file content."""
disposition = _sanitize_filename_for_header(
file.name, disposition="inline" if inline else "attachment"
)
return Response(
content=content,
media_type=file.mime_type,
headers={
"Content-Disposition": _sanitize_filename_for_header(file.name),
"Content-Disposition": disposition,
"Content-Length": str(len(content)),
},
)
async def _create_file_download_response(file: WorkspaceFile) -> Response:
async def create_file_download_response(
file: WorkspaceFile, *, inline: bool = False
) -> Response:
"""
Create a download response for a workspace file.
@@ -82,7 +91,7 @@ async def _create_file_download_response(file: WorkspaceFile) -> Response:
# For local storage, stream the file directly
if file.storage_path.startswith("local://"):
content = await storage.retrieve(file.storage_path)
return _create_streaming_response(content, file)
return _create_streaming_response(content, file, inline=inline)
# For GCS, try to redirect to signed URL, fall back to streaming
try:
@@ -90,7 +99,7 @@ async def _create_file_download_response(file: WorkspaceFile) -> Response:
# If we got back an API path (fallback), stream directly instead
if url.startswith("/api/"):
content = await storage.retrieve(file.storage_path)
return _create_streaming_response(content, file)
return _create_streaming_response(content, file, inline=inline)
return fastapi.responses.RedirectResponse(url=url, status_code=302)
except Exception as e:
# Log the signed URL failure with context
@@ -102,7 +111,7 @@ async def _create_file_download_response(file: WorkspaceFile) -> Response:
# Fall back to streaming directly from GCS
try:
content = await storage.retrieve(file.storage_path)
return _create_streaming_response(content, file)
return _create_streaming_response(content, file, inline=inline)
except Exception as fallback_error:
logger.error(
f"Fallback streaming also failed for file {file.id} "
@@ -131,9 +140,26 @@ class StorageUsageResponse(BaseModel):
file_count: int
class WorkspaceFileItem(BaseModel):
id: str
name: str
path: str
mime_type: str
size_bytes: int
metadata: dict = Field(default_factory=dict)
created_at: str
class ListFilesResponse(BaseModel):
files: list[WorkspaceFileItem]
offset: int = 0
has_more: bool = False
@router.get(
"/files/{file_id}/download",
summary="Download file by ID",
operation_id="getWorkspaceDownloadFileById",
)
async def download_file(
user_id: Annotated[str, fastapi.Security(get_user_id)],
@@ -152,12 +178,13 @@ async def download_file(
if file is None:
raise fastapi.HTTPException(status_code=404, detail="File not found")
return await _create_file_download_response(file)
return await create_file_download_response(file)
@router.delete(
"/files/{file_id}",
summary="Delete a workspace file",
operation_id="deleteWorkspaceFile",
)
async def delete_workspace_file(
user_id: Annotated[str, fastapi.Security(get_user_id)],
@@ -183,6 +210,7 @@ async def delete_workspace_file(
@router.post(
"/files/upload",
summary="Upload file to workspace",
operation_id="uploadWorkspaceFile",
)
async def upload_file(
user_id: Annotated[str, fastapi.Security(get_user_id)],
@@ -196,6 +224,9 @@ async def upload_file(
Files are stored in session-scoped paths when session_id is provided,
so the agent's session-scoped tools can discover them automatically.
"""
# Empty-string session_id drops session scoping; normalize to None.
session_id = session_id or None
config = Config()
# Sanitize filename — strip any directory components
@@ -250,16 +281,27 @@ async def upload_file(
manager = WorkspaceManager(user_id, workspace.id, session_id)
try:
workspace_file = await manager.write_file(
content, filename, overwrite=overwrite
content, filename, overwrite=overwrite, metadata={"origin": "user-upload"}
)
except ValueError as e:
raise fastapi.HTTPException(status_code=409, detail=str(e)) from e
# write_file raises ValueError for both path-conflict and size-limit
# cases; map each to its correct HTTP status.
message = str(e)
if message.startswith("File too large"):
raise fastapi.HTTPException(status_code=413, detail=message) from e
raise fastapi.HTTPException(status_code=409, detail=message) from e
# Post-write storage check — eliminates TOCTOU race on the quota.
# If a concurrent upload pushed us over the limit, undo this write.
new_total = await get_workspace_total_size(workspace.id)
if storage_limit_bytes and new_total > storage_limit_bytes:
await soft_delete_workspace_file(workspace_file.id, workspace.id)
try:
await soft_delete_workspace_file(workspace_file.id, workspace.id)
except Exception as e:
logger.warning(
f"Failed to soft-delete over-quota file {workspace_file.id} "
f"in workspace {workspace.id}: {e}"
)
raise fastapi.HTTPException(
status_code=413,
detail={
@@ -281,6 +323,7 @@ async def upload_file(
@router.get(
"/storage/usage",
summary="Get workspace storage usage",
operation_id="getWorkspaceStorageUsage",
)
async def get_storage_usage(
user_id: Annotated[str, fastapi.Security(get_user_id)],
@@ -301,3 +344,57 @@ async def get_storage_usage(
used_percent=round((used_bytes / limit_bytes) * 100, 1) if limit_bytes else 0,
file_count=file_count,
)
@router.get(
"/files",
summary="List workspace files",
operation_id="listWorkspaceFiles",
)
async def list_workspace_files(
user_id: Annotated[str, fastapi.Security(get_user_id)],
session_id: str | None = Query(default=None),
limit: int = Query(default=200, ge=1, le=1000),
offset: int = Query(default=0, ge=0),
) -> ListFilesResponse:
"""
List files in the user's workspace.
When session_id is provided, only files for that session are returned.
Otherwise, all files across sessions are listed. Results are paginated
via `limit`/`offset`; `has_more` indicates whether additional pages exist.
"""
workspace = await get_or_create_workspace(user_id)
# Treat empty-string session_id the same as omitted — an empty value
# would otherwise silently list files across every session instead of
# scoping to one.
session_id = session_id or None
manager = WorkspaceManager(user_id, workspace.id, session_id)
include_all = session_id is None
# Fetch one extra to compute has_more without a separate count query.
files = await manager.list_files(
limit=limit + 1,
offset=offset,
include_all_sessions=include_all,
)
has_more = len(files) > limit
page = files[:limit]
return ListFilesResponse(
files=[
WorkspaceFileItem(
id=f.id,
name=f.name,
path=f.path,
mime_type=f.mime_type,
size_bytes=f.size_bytes,
metadata=f.metadata or {},
created_at=f.created_at.isoformat(),
)
for f in page
],
offset=offset,
has_more=has_more,
)

View File

@@ -1,48 +1,28 @@
"""Tests for workspace file upload and download routes."""
import io
from datetime import datetime, timezone
from unittest.mock import AsyncMock, MagicMock, patch
import fastapi
import fastapi.testclient
import pytest
import pytest_mock
from backend.api.features.workspace import routes as workspace_routes
from backend.data.workspace import WorkspaceFile
from backend.api.features.workspace.routes import router
from backend.data.workspace import Workspace, WorkspaceFile
app = fastapi.FastAPI()
app.include_router(workspace_routes.router)
app.include_router(router)
@app.exception_handler(ValueError)
async def _value_error_handler(
request: fastapi.Request, exc: ValueError
) -> fastapi.responses.JSONResponse:
"""Mirror the production ValueError → 400 mapping from rest_api.py."""
"""Mirror the production ValueError → 400 mapping from the REST app."""
return fastapi.responses.JSONResponse(status_code=400, content={"detail": str(exc)})
client = fastapi.testclient.TestClient(app)
TEST_USER_ID = "3e53486c-cf57-477e-ba2a-cb02dc828e1a"
MOCK_WORKSPACE = type("W", (), {"id": "ws-1"})()
_NOW = datetime(2023, 1, 1, tzinfo=timezone.utc)
MOCK_FILE = WorkspaceFile(
id="file-aaa-bbb",
workspace_id="ws-1",
created_at=_NOW,
updated_at=_NOW,
name="hello.txt",
path="/session/hello.txt",
mime_type="text/plain",
size_bytes=13,
storage_path="local://hello.txt",
)
@pytest.fixture(autouse=True)
def setup_app_auth(mock_jwt_user):
@@ -53,25 +33,201 @@ def setup_app_auth(mock_jwt_user):
app.dependency_overrides.clear()
def _make_workspace(user_id: str = "test-user-id") -> Workspace:
return Workspace(
id="ws-001",
user_id=user_id,
created_at=datetime(2026, 1, 1, tzinfo=timezone.utc),
updated_at=datetime(2026, 1, 1, tzinfo=timezone.utc),
)
def _make_file(**overrides) -> WorkspaceFile:
defaults = {
"id": "file-001",
"workspace_id": "ws-001",
"created_at": datetime(2026, 1, 1, tzinfo=timezone.utc),
"updated_at": datetime(2026, 1, 1, tzinfo=timezone.utc),
"name": "test.txt",
"path": "/test.txt",
"storage_path": "local://test.txt",
"mime_type": "text/plain",
"size_bytes": 100,
"checksum": None,
"is_deleted": False,
"deleted_at": None,
"metadata": {},
}
defaults.update(overrides)
return WorkspaceFile(**defaults)
def _make_file_mock(**overrides) -> MagicMock:
"""Create a mock WorkspaceFile to simulate DB records with null fields."""
defaults = {
"id": "file-001",
"name": "test.txt",
"path": "/test.txt",
"mime_type": "text/plain",
"size_bytes": 100,
"metadata": {},
"created_at": datetime(2026, 1, 1, tzinfo=timezone.utc),
}
defaults.update(overrides)
mock = MagicMock(spec=WorkspaceFile)
for k, v in defaults.items():
setattr(mock, k, v)
return mock
# -- list_workspace_files tests --
@patch("backend.api.features.workspace.routes.get_or_create_workspace")
@patch("backend.api.features.workspace.routes.WorkspaceManager")
def test_list_files_returns_all_when_no_session(mock_manager_cls, mock_get_workspace):
mock_get_workspace.return_value = _make_workspace()
files = [
_make_file(id="f1", name="a.txt", metadata={"origin": "user-upload"}),
_make_file(id="f2", name="b.csv", metadata={"origin": "agent-created"}),
]
mock_instance = AsyncMock()
mock_instance.list_files.return_value = files
mock_manager_cls.return_value = mock_instance
response = client.get("/files")
assert response.status_code == 200
data = response.json()
assert len(data["files"]) == 2
assert data["has_more"] is False
assert data["offset"] == 0
assert data["files"][0]["id"] == "f1"
assert data["files"][0]["metadata"] == {"origin": "user-upload"}
assert data["files"][1]["id"] == "f2"
mock_instance.list_files.assert_called_once_with(
limit=201, offset=0, include_all_sessions=True
)
@patch("backend.api.features.workspace.routes.get_or_create_workspace")
@patch("backend.api.features.workspace.routes.WorkspaceManager")
def test_list_files_scopes_to_session_when_provided(
mock_manager_cls, mock_get_workspace, test_user_id
):
mock_get_workspace.return_value = _make_workspace(user_id=test_user_id)
mock_instance = AsyncMock()
mock_instance.list_files.return_value = []
mock_manager_cls.return_value = mock_instance
response = client.get("/files?session_id=sess-123")
assert response.status_code == 200
data = response.json()
assert data["files"] == []
assert data["has_more"] is False
mock_manager_cls.assert_called_once_with(test_user_id, "ws-001", "sess-123")
mock_instance.list_files.assert_called_once_with(
limit=201, offset=0, include_all_sessions=False
)
@patch("backend.api.features.workspace.routes.get_or_create_workspace")
@patch("backend.api.features.workspace.routes.WorkspaceManager")
def test_list_files_null_metadata_coerced_to_empty_dict(
mock_manager_cls, mock_get_workspace
):
"""Route uses `f.metadata or {}` for pre-existing files with null metadata."""
mock_get_workspace.return_value = _make_workspace()
mock_instance = AsyncMock()
mock_instance.list_files.return_value = [_make_file_mock(metadata=None)]
mock_manager_cls.return_value = mock_instance
response = client.get("/files")
assert response.status_code == 200
assert response.json()["files"][0]["metadata"] == {}
# -- upload_file metadata tests --
@patch("backend.api.features.workspace.routes.get_or_create_workspace")
@patch("backend.api.features.workspace.routes.get_workspace_total_size")
@patch("backend.api.features.workspace.routes.scan_content_safe")
@patch("backend.api.features.workspace.routes.WorkspaceManager")
def test_upload_passes_user_upload_origin_metadata(
mock_manager_cls, mock_scan, mock_total_size, mock_get_workspace
):
mock_get_workspace.return_value = _make_workspace()
mock_total_size.return_value = 100
written = _make_file(id="new-file", name="doc.pdf")
mock_instance = AsyncMock()
mock_instance.write_file.return_value = written
mock_manager_cls.return_value = mock_instance
response = client.post(
"/files/upload",
files={"file": ("doc.pdf", b"fake-pdf-content", "application/pdf")},
)
assert response.status_code == 200
mock_instance.write_file.assert_called_once()
call_kwargs = mock_instance.write_file.call_args
assert call_kwargs.kwargs.get("metadata") == {"origin": "user-upload"}
@patch("backend.api.features.workspace.routes.get_or_create_workspace")
@patch("backend.api.features.workspace.routes.get_workspace_total_size")
@patch("backend.api.features.workspace.routes.scan_content_safe")
@patch("backend.api.features.workspace.routes.WorkspaceManager")
def test_upload_returns_409_on_file_conflict(
mock_manager_cls, mock_scan, mock_total_size, mock_get_workspace
):
mock_get_workspace.return_value = _make_workspace()
mock_total_size.return_value = 100
mock_instance = AsyncMock()
mock_instance.write_file.side_effect = ValueError("File already exists at path")
mock_manager_cls.return_value = mock_instance
response = client.post(
"/files/upload",
files={"file": ("dup.txt", b"content", "text/plain")},
)
assert response.status_code == 409
assert "already exists" in response.json()["detail"]
# -- Restored upload/download/delete security + invariant tests --
def _upload(
filename: str = "hello.txt",
content: bytes = b"Hello, world!",
content_type: str = "text/plain",
):
"""Helper to POST a file upload."""
return client.post(
"/files/upload?session_id=sess-1",
files={"file": (filename, io.BytesIO(content), content_type)},
)
# ---- Happy path ----
_MOCK_FILE = WorkspaceFile(
id="file-aaa-bbb",
workspace_id="ws-001",
created_at=datetime(2026, 1, 1, tzinfo=timezone.utc),
updated_at=datetime(2026, 1, 1, tzinfo=timezone.utc),
name="hello.txt",
path="/sessions/sess-1/hello.txt",
mime_type="text/plain",
size_bytes=13,
storage_path="local://hello.txt",
)
def test_upload_happy_path(mocker: pytest_mock.MockFixture):
def test_upload_happy_path(mocker):
mocker.patch(
"backend.api.features.workspace.routes.get_or_create_workspace",
return_value=MOCK_WORKSPACE,
return_value=_make_workspace(),
)
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_total_size",
@@ -82,7 +238,7 @@ def test_upload_happy_path(mocker: pytest_mock.MockFixture):
return_value=None,
)
mock_manager = mocker.MagicMock()
mock_manager.write_file = mocker.AsyncMock(return_value=MOCK_FILE)
mock_manager.write_file = mocker.AsyncMock(return_value=_MOCK_FILE)
mocker.patch(
"backend.api.features.workspace.routes.WorkspaceManager",
return_value=mock_manager,
@@ -96,10 +252,7 @@ def test_upload_happy_path(mocker: pytest_mock.MockFixture):
assert data["size_bytes"] == 13
# ---- Per-file size limit ----
def test_upload_exceeds_max_file_size(mocker: pytest_mock.MockFixture):
def test_upload_exceeds_max_file_size(mocker):
"""Files larger than max_file_size_mb should be rejected with 413."""
cfg = mocker.patch("backend.api.features.workspace.routes.Config")
cfg.return_value.max_file_size_mb = 0 # 0 MB → any content is too big
@@ -109,15 +262,11 @@ def test_upload_exceeds_max_file_size(mocker: pytest_mock.MockFixture):
assert response.status_code == 413
# ---- Storage quota exceeded ----
def test_upload_storage_quota_exceeded(mocker: pytest_mock.MockFixture):
def test_upload_storage_quota_exceeded(mocker):
mocker.patch(
"backend.api.features.workspace.routes.get_or_create_workspace",
return_value=MOCK_WORKSPACE,
return_value=_make_workspace(),
)
# Current usage already at limit
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_total_size",
return_value=500 * 1024 * 1024,
@@ -128,27 +277,22 @@ def test_upload_storage_quota_exceeded(mocker: pytest_mock.MockFixture):
assert "Storage limit exceeded" in response.text
# ---- Post-write quota race (B2) ----
def test_upload_post_write_quota_race(mocker: pytest_mock.MockFixture):
"""If a concurrent upload tips the total over the limit after write,
the file should be soft-deleted and 413 returned."""
def test_upload_post_write_quota_race(mocker):
"""Concurrent upload tipping over limit after write should soft-delete + 413."""
mocker.patch(
"backend.api.features.workspace.routes.get_or_create_workspace",
return_value=MOCK_WORKSPACE,
return_value=_make_workspace(),
)
# Pre-write check passes (under limit), but post-write check fails
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_total_size",
side_effect=[0, 600 * 1024 * 1024], # first call OK, second over limit
side_effect=[0, 600 * 1024 * 1024],
)
mocker.patch(
"backend.api.features.workspace.routes.scan_content_safe",
return_value=None,
)
mock_manager = mocker.MagicMock()
mock_manager.write_file = mocker.AsyncMock(return_value=MOCK_FILE)
mock_manager.write_file = mocker.AsyncMock(return_value=_MOCK_FILE)
mocker.patch(
"backend.api.features.workspace.routes.WorkspaceManager",
return_value=mock_manager,
@@ -160,17 +304,14 @@ def test_upload_post_write_quota_race(mocker: pytest_mock.MockFixture):
response = _upload()
assert response.status_code == 413
mock_delete.assert_called_once_with("file-aaa-bbb", "ws-1")
mock_delete.assert_called_once_with("file-aaa-bbb", "ws-001")
# ---- Any extension accepted (no allowlist) ----
def test_upload_any_extension(mocker: pytest_mock.MockFixture):
def test_upload_any_extension(mocker):
"""Any file extension should be accepted — ClamAV is the security layer."""
mocker.patch(
"backend.api.features.workspace.routes.get_or_create_workspace",
return_value=MOCK_WORKSPACE,
return_value=_make_workspace(),
)
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_total_size",
@@ -181,7 +322,7 @@ def test_upload_any_extension(mocker: pytest_mock.MockFixture):
return_value=None,
)
mock_manager = mocker.MagicMock()
mock_manager.write_file = mocker.AsyncMock(return_value=MOCK_FILE)
mock_manager.write_file = mocker.AsyncMock(return_value=_MOCK_FILE)
mocker.patch(
"backend.api.features.workspace.routes.WorkspaceManager",
return_value=mock_manager,
@@ -191,16 +332,13 @@ def test_upload_any_extension(mocker: pytest_mock.MockFixture):
assert response.status_code == 200
# ---- Virus scan rejection ----
def test_upload_blocked_by_virus_scan(mocker: pytest_mock.MockFixture):
def test_upload_blocked_by_virus_scan(mocker):
"""Files flagged by ClamAV should be rejected and never written to storage."""
from backend.api.features.store.exceptions import VirusDetectedError
mocker.patch(
"backend.api.features.workspace.routes.get_or_create_workspace",
return_value=MOCK_WORKSPACE,
return_value=_make_workspace(),
)
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_total_size",
@@ -211,7 +349,7 @@ def test_upload_blocked_by_virus_scan(mocker: pytest_mock.MockFixture):
side_effect=VirusDetectedError("Eicar-Test-Signature"),
)
mock_manager = mocker.MagicMock()
mock_manager.write_file = mocker.AsyncMock(return_value=MOCK_FILE)
mock_manager.write_file = mocker.AsyncMock(return_value=_MOCK_FILE)
mocker.patch(
"backend.api.features.workspace.routes.WorkspaceManager",
return_value=mock_manager,
@@ -219,18 +357,14 @@ def test_upload_blocked_by_virus_scan(mocker: pytest_mock.MockFixture):
response = _upload(filename="evil.exe", content=b"X5O!P%@AP...")
assert response.status_code == 400
assert "Virus detected" in response.text
mock_manager.write_file.assert_not_called()
# ---- No file extension ----
def test_upload_file_without_extension(mocker: pytest_mock.MockFixture):
def test_upload_file_without_extension(mocker):
"""Files without an extension should be accepted and stored as-is."""
mocker.patch(
"backend.api.features.workspace.routes.get_or_create_workspace",
return_value=MOCK_WORKSPACE,
return_value=_make_workspace(),
)
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_total_size",
@@ -241,7 +375,7 @@ def test_upload_file_without_extension(mocker: pytest_mock.MockFixture):
return_value=None,
)
mock_manager = mocker.MagicMock()
mock_manager.write_file = mocker.AsyncMock(return_value=MOCK_FILE)
mock_manager.write_file = mocker.AsyncMock(return_value=_MOCK_FILE)
mocker.patch(
"backend.api.features.workspace.routes.WorkspaceManager",
return_value=mock_manager,
@@ -257,14 +391,11 @@ def test_upload_file_without_extension(mocker: pytest_mock.MockFixture):
assert mock_manager.write_file.call_args[0][1] == "Makefile"
# ---- Filename sanitization (SF5) ----
def test_upload_strips_path_components(mocker: pytest_mock.MockFixture):
def test_upload_strips_path_components(mocker):
"""Path-traversal filenames should be reduced to their basename."""
mocker.patch(
"backend.api.features.workspace.routes.get_or_create_workspace",
return_value=MOCK_WORKSPACE,
return_value=_make_workspace(),
)
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_total_size",
@@ -275,28 +406,23 @@ def test_upload_strips_path_components(mocker: pytest_mock.MockFixture):
return_value=None,
)
mock_manager = mocker.MagicMock()
mock_manager.write_file = mocker.AsyncMock(return_value=MOCK_FILE)
mock_manager.write_file = mocker.AsyncMock(return_value=_MOCK_FILE)
mocker.patch(
"backend.api.features.workspace.routes.WorkspaceManager",
return_value=mock_manager,
)
# Filename with traversal
_upload(filename="../../etc/passwd.txt")
# write_file should have been called with just the basename
mock_manager.write_file.assert_called_once()
call_args = mock_manager.write_file.call_args
assert call_args[0][1] == "passwd.txt"
# ---- Download ----
def test_download_file_not_found(mocker: pytest_mock.MockFixture):
def test_download_file_not_found(mocker):
mocker.patch(
"backend.api.features.workspace.routes.get_workspace",
return_value=MOCK_WORKSPACE,
return_value=_make_workspace(),
)
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_file",
@@ -307,14 +433,11 @@ def test_download_file_not_found(mocker: pytest_mock.MockFixture):
assert response.status_code == 404
# ---- Delete ----
def test_delete_file_success(mocker: pytest_mock.MockFixture):
def test_delete_file_success(mocker):
"""Deleting an existing file should return {"deleted": true}."""
mocker.patch(
"backend.api.features.workspace.routes.get_workspace",
return_value=MOCK_WORKSPACE,
return_value=_make_workspace(),
)
mock_manager = mocker.MagicMock()
mock_manager.delete_file = mocker.AsyncMock(return_value=True)
@@ -329,11 +452,11 @@ def test_delete_file_success(mocker: pytest_mock.MockFixture):
mock_manager.delete_file.assert_called_once_with("file-aaa-bbb")
def test_delete_file_not_found(mocker: pytest_mock.MockFixture):
def test_delete_file_not_found(mocker):
"""Deleting a non-existent file should return 404."""
mocker.patch(
"backend.api.features.workspace.routes.get_workspace",
return_value=MOCK_WORKSPACE,
return_value=_make_workspace(),
)
mock_manager = mocker.MagicMock()
mock_manager.delete_file = mocker.AsyncMock(return_value=False)
@@ -347,7 +470,7 @@ def test_delete_file_not_found(mocker: pytest_mock.MockFixture):
assert "File not found" in response.text
def test_delete_file_no_workspace(mocker: pytest_mock.MockFixture):
def test_delete_file_no_workspace(mocker):
"""Deleting when user has no workspace should return 404."""
mocker.patch(
"backend.api.features.workspace.routes.get_workspace",
@@ -357,3 +480,341 @@ def test_delete_file_no_workspace(mocker: pytest_mock.MockFixture):
response = client.delete("/files/file-aaa-bbb")
assert response.status_code == 404
assert "Workspace not found" in response.text
def test_upload_write_file_too_large_returns_413(mocker):
"""write_file raises ValueError("File too large: …") → must map to 413."""
mocker.patch(
"backend.api.features.workspace.routes.get_or_create_workspace",
return_value=_make_workspace(),
)
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_total_size",
return_value=0,
)
mocker.patch(
"backend.api.features.workspace.routes.scan_content_safe",
return_value=None,
)
mock_manager = mocker.MagicMock()
mock_manager.write_file = mocker.AsyncMock(
side_effect=ValueError("File too large: 900 bytes exceeds 1MB limit")
)
mocker.patch(
"backend.api.features.workspace.routes.WorkspaceManager",
return_value=mock_manager,
)
response = _upload()
assert response.status_code == 413
assert "File too large" in response.text
def test_upload_write_file_conflict_returns_409(mocker):
"""Non-'File too large' ValueErrors from write_file stay as 409."""
mocker.patch(
"backend.api.features.workspace.routes.get_or_create_workspace",
return_value=_make_workspace(),
)
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_total_size",
return_value=0,
)
mocker.patch(
"backend.api.features.workspace.routes.scan_content_safe",
return_value=None,
)
mock_manager = mocker.MagicMock()
mock_manager.write_file = mocker.AsyncMock(
side_effect=ValueError("File already exists at path: /sessions/x/a.txt")
)
mocker.patch(
"backend.api.features.workspace.routes.WorkspaceManager",
return_value=mock_manager,
)
response = _upload()
assert response.status_code == 409
assert "already exists" in response.text
@patch("backend.api.features.workspace.routes.get_or_create_workspace")
@patch("backend.api.features.workspace.routes.WorkspaceManager")
def test_list_files_has_more_true_when_limit_exceeded(
mock_manager_cls, mock_get_workspace
):
"""The limit+1 fetch trick must flip has_more=True and trim the page."""
mock_get_workspace.return_value = _make_workspace()
# Backend was asked for limit+1=3, and returned exactly 3 items.
files = [
_make_file(id="f1", name="a.txt"),
_make_file(id="f2", name="b.txt"),
_make_file(id="f3", name="c.txt"),
]
mock_instance = AsyncMock()
mock_instance.list_files.return_value = files
mock_manager_cls.return_value = mock_instance
response = client.get("/files?limit=2")
assert response.status_code == 200
data = response.json()
assert data["has_more"] is True
assert len(data["files"]) == 2
assert data["files"][0]["id"] == "f1"
assert data["files"][1]["id"] == "f2"
mock_instance.list_files.assert_called_once_with(
limit=3, offset=0, include_all_sessions=True
)
@patch("backend.api.features.workspace.routes.get_or_create_workspace")
@patch("backend.api.features.workspace.routes.WorkspaceManager")
def test_list_files_has_more_false_when_exactly_page_size(
mock_manager_cls, mock_get_workspace
):
"""Exactly `limit` rows means we're on the last page — has_more=False."""
mock_get_workspace.return_value = _make_workspace()
files = [_make_file(id="f1", name="a.txt"), _make_file(id="f2", name="b.txt")]
mock_instance = AsyncMock()
mock_instance.list_files.return_value = files
mock_manager_cls.return_value = mock_instance
response = client.get("/files?limit=2")
assert response.status_code == 200
data = response.json()
assert data["has_more"] is False
assert len(data["files"]) == 2
@patch("backend.api.features.workspace.routes.get_or_create_workspace")
@patch("backend.api.features.workspace.routes.WorkspaceManager")
def test_list_files_offset_is_echoed_back(mock_manager_cls, mock_get_workspace):
mock_get_workspace.return_value = _make_workspace()
mock_instance = AsyncMock()
mock_instance.list_files.return_value = []
mock_manager_cls.return_value = mock_instance
response = client.get("/files?offset=50&limit=10")
assert response.status_code == 200
assert response.json()["offset"] == 50
mock_instance.list_files.assert_called_once_with(
limit=11, offset=50, include_all_sessions=True
)
# -- _sanitize_filename_for_header tests --
class TestSanitizeFilenameForHeader:
def test_simple_ascii_attachment(self):
from backend.api.features.workspace.routes import _sanitize_filename_for_header
assert _sanitize_filename_for_header("report.pdf") == (
'attachment; filename="report.pdf"'
)
def test_inline_disposition(self):
from backend.api.features.workspace.routes import _sanitize_filename_for_header
assert _sanitize_filename_for_header("image.png", disposition="inline") == (
'inline; filename="image.png"'
)
def test_strips_cr_lf_null(self):
from backend.api.features.workspace.routes import _sanitize_filename_for_header
result = _sanitize_filename_for_header("a\rb\nc\x00d.txt")
assert "\r" not in result
assert "\n" not in result
assert "\x00" not in result
assert 'filename="abcd.txt"' in result
def test_escapes_quotes(self):
from backend.api.features.workspace.routes import _sanitize_filename_for_header
result = _sanitize_filename_for_header('file"name.txt')
assert 'filename="file\\"name.txt"' in result
def test_header_injection_blocked(self):
from backend.api.features.workspace.routes import _sanitize_filename_for_header
result = _sanitize_filename_for_header("evil.txt\r\nX-Injected: true")
# CR/LF stripped — the remaining text is safely inside the quoted value
assert "\r" not in result
assert "\n" not in result
assert result == 'attachment; filename="evil.txtX-Injected: true"'
def test_unicode_uses_rfc5987(self):
from backend.api.features.workspace.routes import _sanitize_filename_for_header
result = _sanitize_filename_for_header("日本語.pdf")
assert "filename*=UTF-8''" in result
assert "attachment" in result
def test_unicode_inline(self):
from backend.api.features.workspace.routes import _sanitize_filename_for_header
result = _sanitize_filename_for_header("图片.png", disposition="inline")
assert result.startswith("inline; filename*=UTF-8''")
def test_empty_filename(self):
from backend.api.features.workspace.routes import _sanitize_filename_for_header
result = _sanitize_filename_for_header("")
assert result == 'attachment; filename=""'
# -- _create_streaming_response tests --
class TestCreateStreamingResponse:
def test_attachment_disposition_by_default(self):
from backend.api.features.workspace.routes import _create_streaming_response
file = _make_file(name="data.bin", mime_type="application/octet-stream")
response = _create_streaming_response(b"binary-data", file)
assert (
response.headers["Content-Disposition"] == 'attachment; filename="data.bin"'
)
assert response.headers["Content-Type"] == "application/octet-stream"
assert response.headers["Content-Length"] == "11"
assert response.body == b"binary-data"
def test_inline_disposition(self):
from backend.api.features.workspace.routes import _create_streaming_response
file = _make_file(name="photo.png", mime_type="image/png")
response = _create_streaming_response(b"\x89PNG", file, inline=True)
assert response.headers["Content-Disposition"] == 'inline; filename="photo.png"'
assert response.headers["Content-Type"] == "image/png"
def test_inline_sanitizes_filename(self):
from backend.api.features.workspace.routes import _create_streaming_response
file = _make_file(name='evil"\r\n.txt', mime_type="text/plain")
response = _create_streaming_response(b"data", file, inline=True)
assert "\r" not in response.headers["Content-Disposition"]
assert "\n" not in response.headers["Content-Disposition"]
assert "inline" in response.headers["Content-Disposition"]
def test_content_length_matches_body(self):
from backend.api.features.workspace.routes import _create_streaming_response
content = b"x" * 1000
file = _make_file(name="big.bin", mime_type="application/octet-stream")
response = _create_streaming_response(content, file)
assert response.headers["Content-Length"] == "1000"
# -- create_file_download_response tests --
class TestCreateFileDownloadResponse:
@pytest.mark.asyncio
async def test_local_storage_returns_streaming_response(self, mocker):
from backend.api.features.workspace.routes import create_file_download_response
mock_storage = AsyncMock()
mock_storage.retrieve.return_value = b"file contents"
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_storage",
return_value=mock_storage,
)
file = _make_file(
storage_path="local://uploads/test.txt",
mime_type="text/plain",
)
response = await create_file_download_response(file)
assert response.status_code == 200
assert response.body == b"file contents"
assert "attachment" in response.headers["Content-Disposition"]
@pytest.mark.asyncio
async def test_local_storage_inline(self, mocker):
from backend.api.features.workspace.routes import create_file_download_response
mock_storage = AsyncMock()
mock_storage.retrieve.return_value = b"\x89PNG"
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_storage",
return_value=mock_storage,
)
file = _make_file(
storage_path="local://uploads/photo.png",
mime_type="image/png",
name="photo.png",
)
response = await create_file_download_response(file, inline=True)
assert "inline" in response.headers["Content-Disposition"]
@pytest.mark.asyncio
async def test_gcs_redirect(self, mocker):
from backend.api.features.workspace.routes import create_file_download_response
mock_storage = AsyncMock()
mock_storage.get_download_url.return_value = (
"https://storage.googleapis.com/signed-url"
)
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_storage",
return_value=mock_storage,
)
file = _make_file(storage_path="gcs://bucket/file.pdf")
response = await create_file_download_response(file)
assert response.status_code == 302
assert (
response.headers["location"] == "https://storage.googleapis.com/signed-url"
)
@pytest.mark.asyncio
async def test_gcs_api_fallback_streams_directly(self, mocker):
from backend.api.features.workspace.routes import create_file_download_response
mock_storage = AsyncMock()
mock_storage.get_download_url.return_value = "/api/fallback"
mock_storage.retrieve.return_value = b"fallback content"
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_storage",
return_value=mock_storage,
)
file = _make_file(storage_path="gcs://bucket/file.txt")
response = await create_file_download_response(file)
assert response.status_code == 200
assert response.body == b"fallback content"
@pytest.mark.asyncio
async def test_gcs_signed_url_failure_falls_back_to_streaming(self, mocker):
from backend.api.features.workspace.routes import create_file_download_response
mock_storage = AsyncMock()
mock_storage.get_download_url.side_effect = RuntimeError("GCS error")
mock_storage.retrieve.return_value = b"streamed"
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_storage",
return_value=mock_storage,
)
file = _make_file(storage_path="gcs://bucket/file.txt")
response = await create_file_download_response(file)
assert response.status_code == 200
assert response.body == b"streamed"
@pytest.mark.asyncio
async def test_gcs_total_failure_raises(self, mocker):
from backend.api.features.workspace.routes import create_file_download_response
mock_storage = AsyncMock()
mock_storage.get_download_url.side_effect = RuntimeError("GCS error")
mock_storage.retrieve.side_effect = RuntimeError("Also failed")
mocker.patch(
"backend.api.features.workspace.routes.get_workspace_storage",
return_value=mock_storage,
)
file = _make_file(storage_path="gcs://bucket/file.txt")
with pytest.raises(RuntimeError, match="Also failed"):
await create_file_download_response(file)

View File

@@ -17,7 +17,9 @@ from fastapi.routing import APIRoute
from prisma.errors import PrismaError
import backend.api.features.admin.credit_admin_routes
import backend.api.features.admin.diagnostics_admin_routes
import backend.api.features.admin.execution_analytics_routes
import backend.api.features.admin.platform_cost_routes
import backend.api.features.admin.rate_limit_admin_routes
import backend.api.features.admin.store_admin_routes
import backend.api.features.builder
@@ -30,6 +32,7 @@ import backend.api.features.library.routes
import backend.api.features.mcp.routes as mcp_routes
import backend.api.features.oauth
import backend.api.features.otto.routes
import backend.api.features.platform_linking.routes
import backend.api.features.postmark.postmark
import backend.api.features.store.model
import backend.api.features.store.routes
@@ -319,6 +322,11 @@ app.include_router(
tags=["v2", "admin"],
prefix="/api/credits",
)
app.include_router(
backend.api.features.admin.diagnostics_admin_routes.router,
tags=["v2", "admin"],
prefix="/api",
)
app.include_router(
backend.api.features.admin.execution_analytics_routes.router,
tags=["v2", "admin"],
@@ -329,6 +337,11 @@ app.include_router(
tags=["v2", "admin"],
prefix="/api/copilot",
)
app.include_router(
backend.api.features.admin.platform_cost_routes.router,
tags=["v2", "admin"],
prefix="/api/admin",
)
app.include_router(
backend.api.features.executions.review.routes.router,
tags=["v2", "executions", "review"],
@@ -366,6 +379,11 @@ app.include_router(
tags=["oauth"],
prefix="/api/oauth",
)
app.include_router(
backend.api.features.platform_linking.routes.router,
tags=["platform-linking"],
prefix="/api/platform-linking",
)
app.mount("/external-api", external_api)

View File

@@ -42,11 +42,13 @@ def main(**kwargs):
from backend.data.db_manager import DatabaseManager
from backend.executor import ExecutionManager, Scheduler
from backend.notifications import NotificationManager
from backend.platform_linking.manager import PlatformLinkingManager
run_processes(
DatabaseManager().set_log_level("warning"),
Scheduler(),
NotificationManager(),
PlatformLinkingManager(),
WebsocketServer(),
AgentServer(),
ExecutionManager(),

View File

@@ -25,6 +25,7 @@ from backend.data.model import (
Credentials,
CredentialsFieldInfo,
CredentialsMetaInput,
NodeExecutionStats,
SchemaField,
is_credentials_field_name,
)
@@ -43,7 +44,7 @@ logger = logging.getLogger(__name__)
if TYPE_CHECKING:
from backend.data.execution import ExecutionContext
from backend.data.model import ContributorDetails, NodeExecutionStats
from backend.data.model import ContributorDetails
from ..data.graph import Link
@@ -167,9 +168,31 @@ class BlockSchema(BaseModel):
return cls.cached_jsonschema
@classmethod
def validate_data(cls, data: BlockInput) -> str | None:
def validate_data(
cls,
data: BlockInput,
exclude_fields: set[str] | None = None,
) -> str | None:
schema = cls.jsonschema()
if exclude_fields:
# Drop the excluded fields from both the properties and the
# ``required`` list so jsonschema doesn't flag them as missing.
# Used by the dry-run path to skip credentials validation while
# still validating the remaining block inputs.
schema = {
**schema,
"properties": {
k: v
for k, v in schema.get("properties", {}).items()
if k not in exclude_fields
},
"required": [
r for r in schema.get("required", []) if r not in exclude_fields
],
}
data = {k: v for k, v in data.items() if k not in exclude_fields}
return json.validate_with_jsonschema(
schema=cls.jsonschema(),
schema=schema,
data={k: v for k, v in data.items() if v is not None},
)
@@ -420,6 +443,19 @@ class BlockWebhookConfig(BlockManualWebhookConfig):
class Block(ABC, Generic[BlockSchemaInputType, BlockSchemaOutputType]):
_optimized_description: ClassVar[str | None] = None
def extra_runtime_cost(self, execution_stats: NodeExecutionStats) -> int:
"""Return extra runtime cost to charge after this block run completes.
Called by the executor after a block finishes with COMPLETED status.
The return value is the number of additional base-cost credits to
charge beyond the single credit already collected by charge_usage
at the start of execution. Defaults to 0 (no extra charges).
Override in blocks (e.g. OrchestratorBlock) that make multiple LLM
calls within one run and should be billed per call.
"""
return 0
def __init__(
self,
id: str = "",
@@ -455,8 +491,6 @@ class Block(ABC, Generic[BlockSchemaInputType, BlockSchemaOutputType]):
disabled: If the block is disabled, it will not be available for execution.
static_output: Whether the output links of the block are static by default.
"""
from backend.data.model import NodeExecutionStats
self.id = id
self.input_schema = input_schema
self.output_schema = output_schema
@@ -474,7 +508,7 @@ class Block(ABC, Generic[BlockSchemaInputType, BlockSchemaOutputType]):
self.is_sensitive_action = is_sensitive_action
# Read from ClassVar set by initialize_blocks()
self.optimized_description: str | None = type(self)._optimized_description
self.execution_stats: "NodeExecutionStats" = NodeExecutionStats()
self.execution_stats: NodeExecutionStats = NodeExecutionStats()
if self.webhook_config:
if isinstance(self.webhook_config, BlockWebhookConfig):
@@ -554,7 +588,7 @@ class Block(ABC, Generic[BlockSchemaInputType, BlockSchemaOutputType]):
return data
raise ValueError(f"{self.name} did not produce any output for {output}")
def merge_stats(self, stats: "NodeExecutionStats") -> "NodeExecutionStats":
def merge_stats(self, stats: NodeExecutionStats) -> NodeExecutionStats:
self.execution_stats += stats
return self.execution_stats
@@ -705,11 +739,16 @@ class Block(ABC, Generic[BlockSchemaInputType, BlockSchemaOutputType]):
# (e.g. AgentExecutorBlock) get proper input validation.
is_dry_run = getattr(kwargs.get("execution_context"), "dry_run", False)
if is_dry_run:
# Credential fields may be absent (LLM-built agents often skip
# wiring them) or nullified earlier in the pipeline. Validate
# the non-credential inputs against a schema with those fields
# excluded — stripping only the data while keeping them in the
# ``required`` list would falsely report ``'credentials' is a
# required property``.
cred_field_names = set(self.input_schema.get_credentials_fields().keys())
non_cred_data = {
k: v for k, v in input_data.items() if k not in cred_field_names
}
if error := self.input_schema.validate_data(non_cred_data):
if error := self.input_schema.validate_data(
input_data, exclude_fields=cred_field_names
):
raise BlockInputError(
message=f"Unable to execute block with invalid input data: {error}",
block_name=self.name,

View File

@@ -207,6 +207,9 @@ class AIConditionBlock(AIBlockBase):
NodeExecutionStats(
input_token_count=response.prompt_tokens,
output_token_count=response.completion_tokens,
cache_read_token_count=response.cache_read_tokens,
cache_creation_token_count=response.cache_creation_tokens,
provider_cost=response.provider_cost,
)
)
self.prompt = response.prompt

View File

@@ -47,7 +47,13 @@ def _make_input(**overrides) -> AIConditionBlock.Input:
return AIConditionBlock.Input(**defaults)
def _mock_llm_response(response_text: str) -> LLMResponse:
def _mock_llm_response(
response_text: str,
*,
cache_read_tokens: int = 0,
cache_creation_tokens: int = 0,
provider_cost: float | None = None,
) -> LLMResponse:
return LLMResponse(
raw_response="",
prompt=[],
@@ -56,6 +62,9 @@ def _mock_llm_response(response_text: str) -> LLMResponse:
prompt_tokens=10,
completion_tokens=5,
reasoning=None,
cache_read_tokens=cache_read_tokens,
cache_creation_tokens=cache_creation_tokens,
provider_cost=provider_cost,
)
@@ -145,3 +154,35 @@ class TestExceptionPropagation:
input_data = _make_input()
with pytest.raises(RuntimeError, match="LLM provider error"):
await _collect_outputs(block, input_data, credentials=TEST_CREDENTIALS)
# ---------------------------------------------------------------------------
# Regression: cache tokens and provider_cost must be propagated to stats
# ---------------------------------------------------------------------------
class TestCacheTokenPropagation:
@pytest.mark.asyncio
async def test_cache_tokens_propagated_to_stats(
self, monkeypatch: pytest.MonkeyPatch
):
"""cache_read_tokens and cache_creation_tokens must be forwarded to
NodeExecutionStats so that usage dashboards count cached tokens."""
block = AIConditionBlock()
async def spy_llm(**kwargs):
return _mock_llm_response(
"true",
cache_read_tokens=7,
cache_creation_tokens=3,
provider_cost=0.0012,
)
monkeypatch.setattr(block, "llm_call", spy_llm)
input_data = _make_input()
await _collect_outputs(block, input_data, credentials=TEST_CREDENTIALS)
assert block.execution_stats.cache_read_token_count == 7
assert block.execution_stats.cache_creation_token_count == 3
assert block.execution_stats.provider_cost == 0.0012

View File

@@ -17,7 +17,7 @@ from backend.blocks.apollo.models import (
PrimaryPhone,
SearchOrganizationsRequest,
)
from backend.data.model import CredentialsField, SchemaField
from backend.data.model import CredentialsField, NodeExecutionStats, SchemaField
class SearchOrganizationsBlock(Block):
@@ -218,6 +218,11 @@ To find IDs, identify the values for organization_id when you call this endpoint
) -> BlockOutput:
query = SearchOrganizationsRequest(**input_data.model_dump())
organizations = await self.search_organizations(query, credentials)
self.merge_stats(
NodeExecutionStats(
provider_cost=float(len(organizations)), provider_cost_type="items"
)
)
for organization in organizations:
yield "organization", organization
yield "organizations", organizations

View File

@@ -21,7 +21,7 @@ from backend.blocks.apollo.models import (
SearchPeopleRequest,
SenorityLevels,
)
from backend.data.model import CredentialsField, SchemaField
from backend.data.model import CredentialsField, NodeExecutionStats, SchemaField
class SearchPeopleBlock(Block):
@@ -366,4 +366,9 @@ class SearchPeopleBlock(Block):
*(enrich_or_fallback(person) for person in people)
)
self.merge_stats(
NodeExecutionStats(
provider_cost=float(len(people)), provider_cost_type="items"
)
)
yield "people", people

View File

@@ -4,6 +4,7 @@ import asyncio
import contextvars
import json
import logging
import uuid
from typing import TYPE_CHECKING, Any
from typing_extensions import TypedDict # Needed for Python <3.12 compatibility
@@ -22,6 +23,7 @@ from backend.copilot.permissions import (
validate_block_identifiers,
)
from backend.data.model import SchemaField
from backend.util.exceptions import BlockExecutionError
if TYPE_CHECKING:
from backend.data.execution import ExecutionContext
@@ -31,6 +33,37 @@ logger = logging.getLogger(__name__)
# Block ID shared between autopilot.py and copilot prompting.py.
AUTOPILOT_BLOCK_ID = "c069dc6b-c3ed-4c12-b6e5-d47361e64ce6"
# Identifiers used when registering an AutoPilotBlock turn with the
# stream registry — distinguishes block-originated turns from sub-session
# or HTTP SSE turns in logs / observability.
_AUTOPILOT_TOOL_CALL_ID = "autopilot_block"
_AUTOPILOT_TOOL_NAME = "autopilot_block"
# Ceiling on how long AutoPilotBlock.execute_copilot will wait for the
# enqueued turn's terminal event. Graph blocks run synchronously from
# the caller's perspective so we wait effectively as long as needed; 6h
# matches the previous abandoned-task cap and is much longer than any
# legitimate AutoPilot turn.
_AUTOPILOT_BLOCK_MAX_WAIT_SECONDS = 6 * 60 * 60 # 6 hours
class SubAgentRecursionError(BlockExecutionError):
"""Raised when the AutoPilot sub-agent nesting depth limit is exceeded.
Inherits :class:`BlockExecutionError` — this is a known, handled
runtime failure at the block level (caller nested AutoPilotBlocks
beyond the configured limit). Surfaces with the block_name /
block_id the block framework expects, instead of being wrapped in
``BlockUnknownError``.
"""
def __init__(self, message: str) -> None:
super().__init__(
message=message,
block_name="AutoPilotBlock",
block_id=AUTOPILOT_BLOCK_ID,
)
class ToolCallEntry(TypedDict):
"""A single tool invocation record from an autopilot execution."""
@@ -263,11 +296,15 @@ class AutoPilotBlock(Block):
user_id: str,
permissions: "CopilotPermissions | None" = None,
) -> tuple[str, list[ToolCallEntry], str, str, TokenUsage]:
"""Invoke the copilot and collect all stream results.
"""Invoke the copilot on the copilot_executor queue and aggregate the
result.
Delegates to :func:`collect_copilot_response` — the shared helper that
consumes ``stream_chat_completion_sdk`` without wrapping it in an
``asyncio.timeout`` (the SDK manages its own heartbeat-based timeouts).
Delegates to :func:`run_copilot_turn_via_queue` — the shared
primitive used by ``run_sub_session`` too — which creates the
stream_registry meta record, enqueues the job, and waits on the
Redis stream for the terminal event. Any available
copilot_executor worker picks up the job, so this call survives
the graph-executor worker dying mid-turn (RabbitMQ redelivers).
Args:
prompt: The user task/instruction.
@@ -280,8 +317,8 @@ class AutoPilotBlock(Block):
Returns:
A tuple of (response_text, tool_calls, history_json, session_id, usage).
"""
from backend.copilot.sdk.collect import (
collect_copilot_response, # avoid circular import
from backend.copilot.sdk.session_waiter import (
run_copilot_turn_via_queue, # avoid circular import
)
tokens = _check_recursion(max_recursion_depth)
@@ -294,14 +331,35 @@ class AutoPilotBlock(Block):
if system_context:
effective_prompt = f"[System Context: {system_context}]\n\n{prompt}"
result = await collect_copilot_response(
outcome, result = await run_copilot_turn_via_queue(
session_id=session_id,
message=effective_prompt,
user_id=user_id,
message=effective_prompt,
# Graph block execution is synchronous from the caller's
# perspective — wait effectively as long as needed. The
# SDK enforces its own idle-based timeout inside the
# stream_registry pipeline.
timeout=_AUTOPILOT_BLOCK_MAX_WAIT_SECONDS,
permissions=effective_permissions,
tool_call_id=_AUTOPILOT_TOOL_CALL_ID,
tool_name=_AUTOPILOT_TOOL_NAME,
)
if outcome == "failed":
raise RuntimeError(
"AutoPilot turn failed — see the session's transcript"
)
if outcome == "running":
raise RuntimeError(
"AutoPilot turn did not complete within "
f"{_AUTOPILOT_BLOCK_MAX_WAIT_SECONDS}s — session "
f"{session_id}"
)
# Build a lightweight conversation summary from streamed data.
# Build a lightweight conversation summary from the aggregated data.
# When ``result.queued`` is True the prompt rode on an already-
# in-flight turn (``run_copilot_turn_via_queue`` queued it and
# waited on the existing turn's stream); the aggregated result
# is still valid, so the same rendering path applies.
turn_messages: list[dict[str, Any]] = [
{"role": "user", "content": effective_prompt},
]
@@ -310,7 +368,7 @@ class AutoPilotBlock(Block):
{
"role": "assistant",
"content": result.response_text,
"tool_calls": result.tool_calls,
"tool_calls": [tc.model_dump() for tc in result.tool_calls],
}
)
else:
@@ -321,11 +379,11 @@ class AutoPilotBlock(Block):
tool_calls: list[ToolCallEntry] = [
{
"tool_call_id": tc["tool_call_id"],
"tool_name": tc["tool_name"],
"input": tc["input"],
"output": tc["output"],
"success": tc["success"],
"tool_call_id": tc.tool_call_id,
"tool_name": tc.tool_name,
"input": tc.input,
"output": tc.output,
"success": tc.success,
}
for tc in result.tool_calls
]
@@ -383,7 +441,8 @@ class AutoPilotBlock(Block):
sid = input_data.session_id
if not sid:
sid = await self.create_session(
execution_context.user_id, dry_run=input_data.dry_run
execution_context.user_id,
dry_run=input_data.dry_run or execution_context.dry_run,
)
# NOTE: No asyncio.timeout() here — the SDK manages its own
@@ -409,8 +468,41 @@ class AutoPilotBlock(Block):
yield "session_id", sid
yield "error", "AutoPilot execution was cancelled."
raise
except SubAgentRecursionError as exc:
# Deliberate block — re-enqueueing would immediately hit the limit
# again, so skip recovery and just surface the error.
yield "session_id", sid
yield "error", str(exc)
except Exception as exc:
yield "session_id", sid
# Recovery enqueue must happen BEFORE yielding "error": the block
# framework (_base.execute) raises BlockExecutionError immediately
# when it sees ("error", ...) and stops consuming the generator,
# so any code after that yield is dead code in production.
effective_prompt = input_data.prompt
if input_data.system_context:
effective_prompt = (
f"[System Context: {input_data.system_context}]\n\n"
f"{input_data.prompt}"
)
try:
await _enqueue_for_recovery(
sid,
execution_context.user_id,
effective_prompt,
input_data.dry_run or execution_context.dry_run,
)
except asyncio.CancelledError:
# Task cancelled during recovery — still yield the error
# so the session_id + error pair is visible before re-raising.
yield "error", str(exc)
raise
except Exception:
logger.warning(
"AutoPilot session %s: recovery enqueue raised unexpectedly",
sid[:12],
exc_info=True,
)
yield "error", str(exc)
@@ -438,13 +530,13 @@ def _check_recursion(
when the caller exits to restore the previous depth.
Raises:
RuntimeError: If the current depth already meets or exceeds the limit.
SubAgentRecursionError: If the current depth already meets or exceeds the limit.
"""
current = _autopilot_recursion_depth.get()
inherited = _autopilot_recursion_limit.get()
limit = max_depth if inherited is None else min(inherited, max_depth)
if current >= limit:
raise RuntimeError(
raise SubAgentRecursionError(
f"AutoPilot recursion depth limit reached ({limit}). "
"The autopilot has called itself too many times."
)
@@ -535,3 +627,51 @@ def _merge_inherited_permissions(
# Return the token so the caller can restore the previous value in finally.
token = _inherited_permissions.set(merged)
return merged, token
# ---------------------------------------------------------------------------
# Recovery helpers
# ---------------------------------------------------------------------------
async def _enqueue_for_recovery(
session_id: str,
user_id: str,
message: str,
dry_run: bool,
) -> None:
"""Re-enqueue an orphaned sub-agent session so a fresh executor picks it up.
When ``execute_copilot`` raises an unexpected exception the sub-agent
session is left with ``last_role=user`` and no active consumer — identical
to the state that caused Toran's reports of silent sub-agents. Publishing
the original prompt back to the copilot queue lets the executor service
resume the session without manual intervention.
Skipped for dry-run sessions (no real consumers listen to the queue for
simulated sessions). Any failure to publish is logged and swallowed so
it never masks the original exception.
"""
if dry_run:
return
try:
from backend.copilot.executor.utils import ( # avoid circular import
enqueue_copilot_turn,
)
await asyncio.wait_for(
enqueue_copilot_turn(
session_id=session_id,
user_id=user_id,
message=message,
turn_id=str(uuid.uuid4()),
),
timeout=10,
)
logger.info("AutoPilot session %s enqueued for recovery", session_id[:12])
except Exception:
logger.warning(
"AutoPilot session %s: failed to enqueue for recovery",
session_id[:12],
exc_info=True,
)

View File

@@ -0,0 +1,712 @@
"""Unit tests for merge_stats cost tracking in individual blocks.
Covers the exa code_context, exa contents, and apollo organization blocks
to verify provider cost is correctly extracted and reported.
"""
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from pydantic import SecretStr
from backend.data.model import APIKeyCredentials, NodeExecutionStats
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
TEST_EXA_CREDENTIALS = APIKeyCredentials(
id="01234567-89ab-cdef-0123-456789abcdef",
provider="exa",
api_key=SecretStr("mock-exa-api-key"),
title="Mock Exa API key",
expires_at=None,
)
TEST_EXA_CREDENTIALS_INPUT = {
"provider": TEST_EXA_CREDENTIALS.provider,
"id": TEST_EXA_CREDENTIALS.id,
"type": TEST_EXA_CREDENTIALS.type,
"title": TEST_EXA_CREDENTIALS.title,
}
# ---------------------------------------------------------------------------
# ExaCodeContextBlock — cost_dollars is a string like "0.005"
# ---------------------------------------------------------------------------
class TestExaCodeContextBlockCostTracking:
@pytest.mark.asyncio
async def test_merge_stats_called_with_float_cost(self):
"""float(cost_dollars) parsed from API string and passed to merge_stats."""
from backend.blocks.exa.code_context import ExaCodeContextBlock
block = ExaCodeContextBlock()
api_response = {
"requestId": "req-1",
"query": "how to use hooks",
"response": "Here are some examples...",
"resultsCount": 3,
"costDollars": "0.005",
"searchTime": 1.2,
"outputTokens": 100,
}
mock_resp = MagicMock()
mock_resp.json.return_value = api_response
accumulated: list[NodeExecutionStats] = []
with (
patch(
"backend.blocks.exa.code_context.Requests.post",
new_callable=AsyncMock,
return_value=mock_resp,
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = ExaCodeContextBlock.Input(
query="how to use hooks",
credentials=TEST_EXA_CREDENTIALS_INPUT, # type: ignore[arg-type]
)
results = []
async for output in block.run(
input_data,
credentials=TEST_EXA_CREDENTIALS,
):
results.append(output)
assert len(accumulated) == 1
assert accumulated[0].provider_cost == pytest.approx(0.005)
@pytest.mark.asyncio
async def test_invalid_cost_dollars_does_not_raise(self):
"""When cost_dollars cannot be parsed as float, merge_stats is not called."""
from backend.blocks.exa.code_context import ExaCodeContextBlock
block = ExaCodeContextBlock()
api_response = {
"requestId": "req-2",
"query": "query",
"response": "response",
"resultsCount": 0,
"costDollars": "N/A",
"searchTime": 0.5,
"outputTokens": 0,
}
mock_resp = MagicMock()
mock_resp.json.return_value = api_response
merge_calls: list[NodeExecutionStats] = []
with (
patch(
"backend.blocks.exa.code_context.Requests.post",
new_callable=AsyncMock,
return_value=mock_resp,
),
patch.object(
block, "merge_stats", side_effect=lambda s: merge_calls.append(s)
),
):
input_data = ExaCodeContextBlock.Input(
query="query",
credentials=TEST_EXA_CREDENTIALS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(
input_data,
credentials=TEST_EXA_CREDENTIALS,
):
pass
assert merge_calls == []
@pytest.mark.asyncio
async def test_zero_cost_is_tracked(self):
"""A zero cost_dollars string '0.0' should still be recorded."""
from backend.blocks.exa.code_context import ExaCodeContextBlock
block = ExaCodeContextBlock()
api_response = {
"requestId": "req-3",
"query": "query",
"response": "...",
"resultsCount": 1,
"costDollars": "0.0",
"searchTime": 0.1,
"outputTokens": 10,
}
mock_resp = MagicMock()
mock_resp.json.return_value = api_response
accumulated: list[NodeExecutionStats] = []
with (
patch(
"backend.blocks.exa.code_context.Requests.post",
new_callable=AsyncMock,
return_value=mock_resp,
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = ExaCodeContextBlock.Input(
query="query",
credentials=TEST_EXA_CREDENTIALS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(
input_data,
credentials=TEST_EXA_CREDENTIALS,
):
pass
assert len(accumulated) == 1
assert accumulated[0].provider_cost == 0.0
# ---------------------------------------------------------------------------
# ExaContentsBlock — response.cost_dollars.total (CostDollars model)
# ---------------------------------------------------------------------------
class TestExaContentsBlockCostTracking:
@pytest.mark.asyncio
async def test_merge_stats_called_with_cost_dollars_total(self):
"""provider_cost equals response.cost_dollars.total when present."""
from backend.blocks.exa.contents import ExaContentsBlock
from backend.blocks.exa.helpers import CostDollars
block = ExaContentsBlock()
cost_dollars = CostDollars(total=0.012)
mock_response = MagicMock()
mock_response.results = []
mock_response.context = None
mock_response.statuses = None
mock_response.cost_dollars = cost_dollars
accumulated: list[NodeExecutionStats] = []
with (
patch(
"backend.blocks.exa.contents.AsyncExa",
return_value=MagicMock(
get_contents=AsyncMock(return_value=mock_response)
),
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = ExaContentsBlock.Input(
urls=["https://example.com"],
credentials=TEST_EXA_CREDENTIALS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(
input_data,
credentials=TEST_EXA_CREDENTIALS,
):
pass
assert len(accumulated) == 1
assert accumulated[0].provider_cost == pytest.approx(0.012)
@pytest.mark.asyncio
async def test_no_merge_stats_when_cost_dollars_absent(self):
"""When response.cost_dollars is None, merge_stats is not called."""
from backend.blocks.exa.contents import ExaContentsBlock
block = ExaContentsBlock()
mock_response = MagicMock()
mock_response.results = []
mock_response.context = None
mock_response.statuses = None
mock_response.cost_dollars = None
accumulated: list[NodeExecutionStats] = []
with (
patch(
"backend.blocks.exa.contents.AsyncExa",
return_value=MagicMock(
get_contents=AsyncMock(return_value=mock_response)
),
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = ExaContentsBlock.Input(
urls=["https://example.com"],
credentials=TEST_EXA_CREDENTIALS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(
input_data,
credentials=TEST_EXA_CREDENTIALS,
):
pass
assert accumulated == []
# ---------------------------------------------------------------------------
# SearchOrganizationsBlock — provider_cost = float(len(organizations))
# ---------------------------------------------------------------------------
class TestSearchOrganizationsBlockCostTracking:
@pytest.mark.asyncio
async def test_merge_stats_called_with_org_count(self):
"""provider_cost == number of returned organizations, type == 'items'."""
from backend.blocks.apollo._auth import TEST_CREDENTIALS as APOLLO_CREDS
from backend.blocks.apollo._auth import (
TEST_CREDENTIALS_INPUT as APOLLO_CREDS_INPUT,
)
from backend.blocks.apollo.models import Organization
from backend.blocks.apollo.organization import SearchOrganizationsBlock
block = SearchOrganizationsBlock()
fake_orgs = [Organization(id=str(i), name=f"Org{i}") for i in range(3)]
accumulated: list[NodeExecutionStats] = []
with (
patch.object(
SearchOrganizationsBlock,
"search_organizations",
new_callable=AsyncMock,
return_value=fake_orgs,
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = SearchOrganizationsBlock.Input(
credentials=APOLLO_CREDS_INPUT, # type: ignore[arg-type]
)
results = []
async for output in block.run(
input_data,
credentials=APOLLO_CREDS,
):
results.append(output)
assert len(accumulated) == 1
assert accumulated[0].provider_cost == pytest.approx(3.0)
assert accumulated[0].provider_cost_type == "items"
@pytest.mark.asyncio
async def test_empty_org_list_tracks_zero(self):
"""An empty organization list results in provider_cost=0.0."""
from backend.blocks.apollo._auth import TEST_CREDENTIALS as APOLLO_CREDS
from backend.blocks.apollo._auth import (
TEST_CREDENTIALS_INPUT as APOLLO_CREDS_INPUT,
)
from backend.blocks.apollo.organization import SearchOrganizationsBlock
block = SearchOrganizationsBlock()
accumulated: list[NodeExecutionStats] = []
with (
patch.object(
SearchOrganizationsBlock,
"search_organizations",
new_callable=AsyncMock,
return_value=[],
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = SearchOrganizationsBlock.Input(
credentials=APOLLO_CREDS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(
input_data,
credentials=APOLLO_CREDS,
):
pass
assert len(accumulated) == 1
assert accumulated[0].provider_cost == 0.0
assert accumulated[0].provider_cost_type == "items"
# ---------------------------------------------------------------------------
# JinaEmbeddingBlock — token count from usage.total_tokens
# ---------------------------------------------------------------------------
class TestJinaEmbeddingBlockCostTracking:
@pytest.mark.asyncio
async def test_merge_stats_called_with_token_count(self):
"""provider token count is recorded when API returns usage.total_tokens."""
from backend.blocks.jina._auth import TEST_CREDENTIALS as JINA_CREDS
from backend.blocks.jina._auth import TEST_CREDENTIALS_INPUT as JINA_CREDS_INPUT
from backend.blocks.jina.embeddings import JinaEmbeddingBlock
block = JinaEmbeddingBlock()
api_response = {
"data": [{"embedding": [0.1, 0.2, 0.3]}],
"usage": {"total_tokens": 42},
}
mock_resp = MagicMock()
mock_resp.json.return_value = api_response
accumulated: list[NodeExecutionStats] = []
with (
patch(
"backend.blocks.jina.embeddings.Requests.post",
new_callable=AsyncMock,
return_value=mock_resp,
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = JinaEmbeddingBlock.Input(
texts=["hello world"],
credentials=JINA_CREDS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(input_data, credentials=JINA_CREDS):
pass
assert len(accumulated) == 1
assert accumulated[0].input_token_count == 42
@pytest.mark.asyncio
async def test_no_merge_stats_when_usage_absent(self):
"""When API response omits usage field, merge_stats is not called."""
from backend.blocks.jina._auth import TEST_CREDENTIALS as JINA_CREDS
from backend.blocks.jina._auth import TEST_CREDENTIALS_INPUT as JINA_CREDS_INPUT
from backend.blocks.jina.embeddings import JinaEmbeddingBlock
block = JinaEmbeddingBlock()
api_response = {
"data": [{"embedding": [0.1, 0.2, 0.3]}],
}
mock_resp = MagicMock()
mock_resp.json.return_value = api_response
accumulated: list[NodeExecutionStats] = []
with (
patch(
"backend.blocks.jina.embeddings.Requests.post",
new_callable=AsyncMock,
return_value=mock_resp,
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = JinaEmbeddingBlock.Input(
texts=["hello"],
credentials=JINA_CREDS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(input_data, credentials=JINA_CREDS):
pass
assert accumulated == []
# ---------------------------------------------------------------------------
# UnrealTextToSpeechBlock — character count from input text length
# ---------------------------------------------------------------------------
class TestUnrealTextToSpeechBlockCostTracking:
@pytest.mark.asyncio
async def test_merge_stats_called_with_character_count(self):
"""provider_cost equals len(text) with type='characters'."""
from backend.blocks.text_to_speech_block import TEST_CREDENTIALS as TTS_CREDS
from backend.blocks.text_to_speech_block import (
TEST_CREDENTIALS_INPUT as TTS_CREDS_INPUT,
)
from backend.blocks.text_to_speech_block import UnrealTextToSpeechBlock
block = UnrealTextToSpeechBlock()
test_text = "Hello, world!"
with (
patch.object(
UnrealTextToSpeechBlock,
"call_unreal_speech_api",
new_callable=AsyncMock,
return_value={"OutputUri": "https://example.com/audio.mp3"},
),
patch.object(block, "merge_stats") as mock_merge,
):
input_data = UnrealTextToSpeechBlock.Input(
text=test_text,
credentials=TTS_CREDS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(input_data, credentials=TTS_CREDS):
pass
mock_merge.assert_called_once()
stats = mock_merge.call_args[0][0]
assert stats.provider_cost == float(len(test_text))
assert stats.provider_cost_type == "characters"
@pytest.mark.asyncio
async def test_empty_text_gives_zero_characters(self):
"""An empty text string results in provider_cost=0.0."""
from backend.blocks.text_to_speech_block import TEST_CREDENTIALS as TTS_CREDS
from backend.blocks.text_to_speech_block import (
TEST_CREDENTIALS_INPUT as TTS_CREDS_INPUT,
)
from backend.blocks.text_to_speech_block import UnrealTextToSpeechBlock
block = UnrealTextToSpeechBlock()
with (
patch.object(
UnrealTextToSpeechBlock,
"call_unreal_speech_api",
new_callable=AsyncMock,
return_value={"OutputUri": "https://example.com/audio.mp3"},
),
patch.object(block, "merge_stats") as mock_merge,
):
input_data = UnrealTextToSpeechBlock.Input(
text="",
credentials=TTS_CREDS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(input_data, credentials=TTS_CREDS):
pass
mock_merge.assert_called_once()
stats = mock_merge.call_args[0][0]
assert stats.provider_cost == 0.0
assert stats.provider_cost_type == "characters"
# ---------------------------------------------------------------------------
# GoogleMapsSearchBlock — item count from search_places results
# ---------------------------------------------------------------------------
class TestGoogleMapsSearchBlockCostTracking:
@pytest.mark.asyncio
async def test_merge_stats_called_with_place_count(self):
"""provider_cost equals number of returned places, type == 'items'."""
from backend.blocks.google_maps import TEST_CREDENTIALS as MAPS_CREDS
from backend.blocks.google_maps import (
TEST_CREDENTIALS_INPUT as MAPS_CREDS_INPUT,
)
from backend.blocks.google_maps import GoogleMapsSearchBlock
block = GoogleMapsSearchBlock()
fake_places = [{"name": f"Place{i}", "address": f"Addr{i}"} for i in range(4)]
accumulated: list[NodeExecutionStats] = []
with (
patch.object(
GoogleMapsSearchBlock,
"search_places",
return_value=fake_places,
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = GoogleMapsSearchBlock.Input(
query="coffee shops",
credentials=MAPS_CREDS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(input_data, credentials=MAPS_CREDS):
pass
assert len(accumulated) == 1
assert accumulated[0].provider_cost == 4.0
assert accumulated[0].provider_cost_type == "items"
@pytest.mark.asyncio
async def test_empty_results_tracks_zero(self):
"""Zero places returned results in provider_cost=0.0."""
from backend.blocks.google_maps import TEST_CREDENTIALS as MAPS_CREDS
from backend.blocks.google_maps import (
TEST_CREDENTIALS_INPUT as MAPS_CREDS_INPUT,
)
from backend.blocks.google_maps import GoogleMapsSearchBlock
block = GoogleMapsSearchBlock()
accumulated: list[NodeExecutionStats] = []
with (
patch.object(
GoogleMapsSearchBlock,
"search_places",
return_value=[],
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = GoogleMapsSearchBlock.Input(
query="nothing here",
credentials=MAPS_CREDS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(input_data, credentials=MAPS_CREDS):
pass
assert len(accumulated) == 1
assert accumulated[0].provider_cost == 0.0
assert accumulated[0].provider_cost_type == "items"
# ---------------------------------------------------------------------------
# SmartLeadAddLeadsBlock — item count from lead_list length
# ---------------------------------------------------------------------------
class TestSmartLeadAddLeadsBlockCostTracking:
@pytest.mark.asyncio
async def test_merge_stats_called_with_lead_count(self):
"""provider_cost equals number of leads uploaded, type == 'items'."""
from backend.blocks.smartlead._auth import TEST_CREDENTIALS as SL_CREDS
from backend.blocks.smartlead._auth import (
TEST_CREDENTIALS_INPUT as SL_CREDS_INPUT,
)
from backend.blocks.smartlead.campaign import AddLeadToCampaignBlock
from backend.blocks.smartlead.models import (
AddLeadsToCampaignResponse,
LeadInput,
)
block = AddLeadToCampaignBlock()
fake_leads = [
LeadInput(first_name="Alice", last_name="A", email="alice@example.com"),
LeadInput(first_name="Bob", last_name="B", email="bob@example.com"),
]
fake_response = AddLeadsToCampaignResponse(
ok=True,
upload_count=2,
total_leads=2,
block_count=0,
duplicate_count=0,
invalid_email_count=0,
invalid_emails=[],
already_added_to_campaign=0,
unsubscribed_leads=[],
is_lead_limit_exhausted=False,
lead_import_stopped_count=0,
bounce_count=0,
)
accumulated: list[NodeExecutionStats] = []
with (
patch.object(
AddLeadToCampaignBlock,
"add_leads_to_campaign",
new_callable=AsyncMock,
return_value=fake_response,
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = AddLeadToCampaignBlock.Input(
campaign_id=123,
lead_list=fake_leads,
credentials=SL_CREDS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(input_data, credentials=SL_CREDS):
pass
assert len(accumulated) == 1
assert accumulated[0].provider_cost == 2.0
assert accumulated[0].provider_cost_type == "items"
# ---------------------------------------------------------------------------
# SearchPeopleBlock — item count from people list length
# ---------------------------------------------------------------------------
class TestSearchPeopleBlockCostTracking:
@pytest.mark.asyncio
async def test_merge_stats_called_with_people_count(self):
"""provider_cost equals number of returned people, type == 'items'."""
from backend.blocks.apollo._auth import TEST_CREDENTIALS as APOLLO_CREDS
from backend.blocks.apollo._auth import (
TEST_CREDENTIALS_INPUT as APOLLO_CREDS_INPUT,
)
from backend.blocks.apollo.models import Contact
from backend.blocks.apollo.people import SearchPeopleBlock
block = SearchPeopleBlock()
fake_people = [Contact(id=str(i), first_name=f"Person{i}") for i in range(5)]
accumulated: list[NodeExecutionStats] = []
with (
patch.object(
SearchPeopleBlock,
"search_people",
new_callable=AsyncMock,
return_value=fake_people,
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = SearchPeopleBlock.Input(
credentials=APOLLO_CREDS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(input_data, credentials=APOLLO_CREDS):
pass
assert len(accumulated) == 1
assert accumulated[0].provider_cost == pytest.approx(5.0)
assert accumulated[0].provider_cost_type == "items"
@pytest.mark.asyncio
async def test_empty_people_list_tracks_zero(self):
"""An empty people list results in provider_cost=0.0."""
from backend.blocks.apollo._auth import TEST_CREDENTIALS as APOLLO_CREDS
from backend.blocks.apollo._auth import (
TEST_CREDENTIALS_INPUT as APOLLO_CREDS_INPUT,
)
from backend.blocks.apollo.people import SearchPeopleBlock
block = SearchPeopleBlock()
accumulated: list[NodeExecutionStats] = []
with (
patch.object(
SearchPeopleBlock,
"search_people",
new_callable=AsyncMock,
return_value=[],
),
patch.object(
block, "merge_stats", side_effect=lambda s: accumulated.append(s)
),
):
input_data = SearchPeopleBlock.Input(
credentials=APOLLO_CREDS_INPUT, # type: ignore[arg-type]
)
async for _ in block.run(input_data, credentials=APOLLO_CREDS):
pass
assert len(accumulated) == 1
assert accumulated[0].provider_cost == 0.0
assert accumulated[0].provider_cost_type == "items"

View File

@@ -9,6 +9,7 @@ from typing import Union
from pydantic import BaseModel
from backend.data.model import NodeExecutionStats
from backend.sdk import (
APIKeyCredentials,
Block,
@@ -116,3 +117,10 @@ class ExaCodeContextBlock(Block):
yield "cost_dollars", context.cost_dollars
yield "search_time", context.search_time
yield "output_tokens", context.output_tokens
# Parse cost_dollars (API returns as string, e.g. "0.005")
try:
cost_usd = float(context.cost_dollars)
self.merge_stats(NodeExecutionStats(provider_cost=cost_usd))
except (ValueError, TypeError):
pass

View File

@@ -4,6 +4,7 @@ from typing import Optional
from exa_py import AsyncExa
from pydantic import BaseModel
from backend.data.model import NodeExecutionStats
from backend.sdk import (
APIKeyCredentials,
Block,
@@ -223,3 +224,6 @@ class ExaContentsBlock(Block):
if response.cost_dollars:
yield "cost_dollars", response.cost_dollars
self.merge_stats(
NodeExecutionStats(provider_cost=response.cost_dollars.total)
)

View File

@@ -0,0 +1,575 @@
"""Tests for cost tracking in Exa blocks.
Covers the cost_dollars → provider_cost → merge_stats path for both
ExaContentsBlock and ExaCodeContextBlock.
"""
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from backend.blocks.exa._test import TEST_CREDENTIALS, TEST_CREDENTIALS_INPUT
from backend.data.model import NodeExecutionStats
class TestExaCodeContextCostTracking:
"""ExaCodeContextBlock parses cost_dollars (string) and calls merge_stats."""
@pytest.mark.asyncio
async def test_valid_cost_string_is_parsed_and_merged(self):
"""A numeric cost string like '0.005' is merged as provider_cost."""
from backend.blocks.exa.code_context import ExaCodeContextBlock
block = ExaCodeContextBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
api_response = {
"requestId": "req-1",
"query": "test query",
"response": "some code",
"resultsCount": 3,
"costDollars": "0.005",
"searchTime": 1.2,
"outputTokens": 100,
}
with patch("backend.blocks.exa.code_context.Requests") as mock_requests_cls:
mock_resp = MagicMock()
mock_resp.json.return_value = api_response
mock_requests_cls.return_value.post = AsyncMock(return_value=mock_resp)
outputs = []
async for key, value in block.run(
block.Input(query="test query", credentials=TEST_CREDENTIALS_INPUT), # type: ignore[arg-type]
credentials=TEST_CREDENTIALS,
):
outputs.append((key, value))
assert any(k == "cost_dollars" for k, _ in outputs)
assert len(merged) == 1
assert merged[0].provider_cost == pytest.approx(0.005)
@pytest.mark.asyncio
async def test_invalid_cost_string_does_not_raise(self):
"""A non-numeric cost_dollars value is swallowed silently."""
from backend.blocks.exa.code_context import ExaCodeContextBlock
block = ExaCodeContextBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
api_response = {
"requestId": "req-2",
"query": "test",
"response": "code",
"resultsCount": 0,
"costDollars": "N/A",
"searchTime": 0.5,
"outputTokens": 0,
}
with patch("backend.blocks.exa.code_context.Requests") as mock_requests_cls:
mock_resp = MagicMock()
mock_resp.json.return_value = api_response
mock_requests_cls.return_value.post = AsyncMock(return_value=mock_resp)
outputs = []
async for key, value in block.run(
block.Input(query="test", credentials=TEST_CREDENTIALS_INPUT), # type: ignore[arg-type]
credentials=TEST_CREDENTIALS,
):
outputs.append((key, value))
# No merge_stats call because float() raised ValueError
assert len(merged) == 0
@pytest.mark.asyncio
async def test_zero_cost_string_is_merged(self):
"""'0.0' is a valid cost — should still be tracked."""
from backend.blocks.exa.code_context import ExaCodeContextBlock
block = ExaCodeContextBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
api_response = {
"requestId": "req-3",
"query": "free query",
"response": "result",
"resultsCount": 1,
"costDollars": "0.0",
"searchTime": 0.1,
"outputTokens": 10,
}
with patch("backend.blocks.exa.code_context.Requests") as mock_requests_cls:
mock_resp = MagicMock()
mock_resp.json.return_value = api_response
mock_requests_cls.return_value.post = AsyncMock(return_value=mock_resp)
async for _ in block.run(
block.Input(query="free query", credentials=TEST_CREDENTIALS_INPUT), # type: ignore[arg-type]
credentials=TEST_CREDENTIALS,
):
pass
assert len(merged) == 1
assert merged[0].provider_cost == pytest.approx(0.0)
class TestExaContentsCostTracking:
"""ExaContentsBlock merges cost_dollars.total as provider_cost."""
@pytest.mark.asyncio
async def test_cost_dollars_total_is_merged(self):
"""When the SDK response includes cost_dollars, its total is merged."""
from backend.blocks.exa.contents import ExaContentsBlock
from backend.blocks.exa.helpers import CostDollars
block = ExaContentsBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
mock_sdk_response = MagicMock()
mock_sdk_response.results = []
mock_sdk_response.context = None
mock_sdk_response.statuses = None
mock_sdk_response.cost_dollars = CostDollars(total=0.012)
with patch("backend.blocks.exa.contents.AsyncExa") as mock_exa_cls:
mock_exa = MagicMock()
mock_exa.get_contents = AsyncMock(return_value=mock_sdk_response)
mock_exa_cls.return_value = mock_exa
async for _ in block.run(
block.Input(urls=["https://example.com"], credentials=TEST_CREDENTIALS_INPUT), # type: ignore[arg-type]
credentials=TEST_CREDENTIALS,
):
pass
assert len(merged) == 1
assert merged[0].provider_cost == pytest.approx(0.012)
@pytest.mark.asyncio
async def test_no_cost_dollars_skips_merge(self):
"""When cost_dollars is absent, merge_stats is not called."""
from backend.blocks.exa.contents import ExaContentsBlock
block = ExaContentsBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
mock_sdk_response = MagicMock()
mock_sdk_response.results = []
mock_sdk_response.context = None
mock_sdk_response.statuses = None
mock_sdk_response.cost_dollars = None
with patch("backend.blocks.exa.contents.AsyncExa") as mock_exa_cls:
mock_exa = MagicMock()
mock_exa.get_contents = AsyncMock(return_value=mock_sdk_response)
mock_exa_cls.return_value = mock_exa
async for _ in block.run(
block.Input(urls=["https://example.com"], credentials=TEST_CREDENTIALS_INPUT), # type: ignore[arg-type]
credentials=TEST_CREDENTIALS,
):
pass
assert len(merged) == 0
@pytest.mark.asyncio
async def test_zero_cost_dollars_is_merged(self):
"""A total of 0.0 (free tier) should still be merged."""
from backend.blocks.exa.contents import ExaContentsBlock
from backend.blocks.exa.helpers import CostDollars
block = ExaContentsBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
mock_sdk_response = MagicMock()
mock_sdk_response.results = []
mock_sdk_response.context = None
mock_sdk_response.statuses = None
mock_sdk_response.cost_dollars = CostDollars(total=0.0)
with patch("backend.blocks.exa.contents.AsyncExa") as mock_exa_cls:
mock_exa = MagicMock()
mock_exa.get_contents = AsyncMock(return_value=mock_sdk_response)
mock_exa_cls.return_value = mock_exa
async for _ in block.run(
block.Input(urls=["https://example.com"], credentials=TEST_CREDENTIALS_INPUT), # type: ignore[arg-type]
credentials=TEST_CREDENTIALS,
):
pass
assert len(merged) == 1
assert merged[0].provider_cost == pytest.approx(0.0)
class TestExaSearchCostTracking:
"""ExaSearchBlock merges cost_dollars.total as provider_cost."""
@pytest.mark.asyncio
async def test_cost_dollars_total_is_merged(self):
"""When the SDK response includes cost_dollars, its total is merged."""
from backend.blocks.exa.helpers import CostDollars
from backend.blocks.exa.search import ExaSearchBlock
block = ExaSearchBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
mock_sdk_response = MagicMock()
mock_sdk_response.results = []
mock_sdk_response.context = None
mock_sdk_response.resolved_search_type = None
mock_sdk_response.cost_dollars = CostDollars(total=0.008)
with patch("backend.blocks.exa.search.AsyncExa") as mock_exa_cls:
mock_exa = MagicMock()
mock_exa.search = AsyncMock(return_value=mock_sdk_response)
mock_exa_cls.return_value = mock_exa
async for _ in block.run(
block.Input(query="test query", credentials=TEST_CREDENTIALS_INPUT), # type: ignore[arg-type]
credentials=TEST_CREDENTIALS,
):
pass
assert len(merged) == 1
assert merged[0].provider_cost == pytest.approx(0.008)
@pytest.mark.asyncio
async def test_no_cost_dollars_skips_merge(self):
"""When cost_dollars is absent, merge_stats is not called."""
from backend.blocks.exa.search import ExaSearchBlock
block = ExaSearchBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
mock_sdk_response = MagicMock()
mock_sdk_response.results = []
mock_sdk_response.context = None
mock_sdk_response.resolved_search_type = None
mock_sdk_response.cost_dollars = None
with patch("backend.blocks.exa.search.AsyncExa") as mock_exa_cls:
mock_exa = MagicMock()
mock_exa.search = AsyncMock(return_value=mock_sdk_response)
mock_exa_cls.return_value = mock_exa
async for _ in block.run(
block.Input(query="test query", credentials=TEST_CREDENTIALS_INPUT), # type: ignore[arg-type]
credentials=TEST_CREDENTIALS,
):
pass
assert len(merged) == 0
class TestExaSimilarCostTracking:
"""ExaFindSimilarBlock merges cost_dollars.total as provider_cost."""
@pytest.mark.asyncio
async def test_cost_dollars_total_is_merged(self):
"""When the SDK response includes cost_dollars, its total is merged."""
from backend.blocks.exa.helpers import CostDollars
from backend.blocks.exa.similar import ExaFindSimilarBlock
block = ExaFindSimilarBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
mock_sdk_response = MagicMock()
mock_sdk_response.results = []
mock_sdk_response.context = None
mock_sdk_response.request_id = "req-1"
mock_sdk_response.cost_dollars = CostDollars(total=0.015)
with patch("backend.blocks.exa.similar.AsyncExa") as mock_exa_cls:
mock_exa = MagicMock()
mock_exa.find_similar = AsyncMock(return_value=mock_sdk_response)
mock_exa_cls.return_value = mock_exa
async for _ in block.run(
block.Input(url="https://example.com", credentials=TEST_CREDENTIALS_INPUT), # type: ignore[arg-type]
credentials=TEST_CREDENTIALS,
):
pass
assert len(merged) == 1
assert merged[0].provider_cost == pytest.approx(0.015)
@pytest.mark.asyncio
async def test_no_cost_dollars_skips_merge(self):
"""When cost_dollars is absent, merge_stats is not called."""
from backend.blocks.exa.similar import ExaFindSimilarBlock
block = ExaFindSimilarBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
mock_sdk_response = MagicMock()
mock_sdk_response.results = []
mock_sdk_response.context = None
mock_sdk_response.request_id = "req-2"
mock_sdk_response.cost_dollars = None
with patch("backend.blocks.exa.similar.AsyncExa") as mock_exa_cls:
mock_exa = MagicMock()
mock_exa.find_similar = AsyncMock(return_value=mock_sdk_response)
mock_exa_cls.return_value = mock_exa
async for _ in block.run(
block.Input(url="https://example.com", credentials=TEST_CREDENTIALS_INPUT), # type: ignore[arg-type]
credentials=TEST_CREDENTIALS,
):
pass
assert len(merged) == 0
# ---------------------------------------------------------------------------
# ExaCreateResearchBlock — cost_dollars from completed poll response
# ---------------------------------------------------------------------------
COMPLETED_RESEARCH_RESPONSE = {
"researchId": "test-research-id",
"status": "completed",
"model": "exa-research",
"instructions": "test instructions",
"createdAt": 1700000000000,
"finishedAt": 1700000060000,
"costDollars": {
"total": 0.05,
"numSearches": 3,
"numPages": 10,
"reasoningTokens": 500,
},
"output": {"content": "Research findings...", "parsed": None},
}
PENDING_RESEARCH_RESPONSE = {
"researchId": "test-research-id",
"status": "pending",
"model": "exa-research",
"instructions": "test instructions",
"createdAt": 1700000000000,
}
class TestExaCreateResearchBlockCostTracking:
"""ExaCreateResearchBlock merges cost from completed poll response."""
@pytest.mark.asyncio
async def test_cost_merged_when_research_completes(self):
"""merge_stats called with provider_cost=total when poll returns completed."""
from backend.blocks.exa.research import ExaCreateResearchBlock
block = ExaCreateResearchBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
create_resp = MagicMock()
create_resp.json.return_value = PENDING_RESEARCH_RESPONSE
poll_resp = MagicMock()
poll_resp.json.return_value = COMPLETED_RESEARCH_RESPONSE
mock_instance = MagicMock()
mock_instance.post = AsyncMock(return_value=create_resp)
mock_instance.get = AsyncMock(return_value=poll_resp)
with (
patch("backend.blocks.exa.research.Requests", return_value=mock_instance),
patch("asyncio.sleep", new=AsyncMock()),
):
async for _ in block.run(
block.Input(
instructions="test instructions",
wait_for_completion=True,
credentials=TEST_CREDENTIALS_INPUT, # type: ignore[arg-type]
),
credentials=TEST_CREDENTIALS,
):
pass
assert len(merged) == 1
assert merged[0].provider_cost == pytest.approx(0.05)
@pytest.mark.asyncio
async def test_no_merge_when_no_cost_dollars(self):
"""When completed response has no costDollars, merge_stats is not called."""
from backend.blocks.exa.research import ExaCreateResearchBlock
block = ExaCreateResearchBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
no_cost_response = {**COMPLETED_RESEARCH_RESPONSE, "costDollars": None}
create_resp = MagicMock()
create_resp.json.return_value = PENDING_RESEARCH_RESPONSE
poll_resp = MagicMock()
poll_resp.json.return_value = no_cost_response
mock_instance = MagicMock()
mock_instance.post = AsyncMock(return_value=create_resp)
mock_instance.get = AsyncMock(return_value=poll_resp)
with (
patch("backend.blocks.exa.research.Requests", return_value=mock_instance),
patch("asyncio.sleep", new=AsyncMock()),
):
async for _ in block.run(
block.Input(
instructions="test instructions",
wait_for_completion=True,
credentials=TEST_CREDENTIALS_INPUT, # type: ignore[arg-type]
),
credentials=TEST_CREDENTIALS,
):
pass
assert merged == []
# ---------------------------------------------------------------------------
# ExaGetResearchBlock — cost_dollars from single GET response
# ---------------------------------------------------------------------------
class TestExaGetResearchBlockCostTracking:
"""ExaGetResearchBlock merges cost when the fetched research has cost_dollars."""
@pytest.mark.asyncio
async def test_cost_merged_from_completed_research(self):
"""merge_stats called with provider_cost=total when research has costDollars."""
from backend.blocks.exa.research import ExaGetResearchBlock
block = ExaGetResearchBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
get_resp = MagicMock()
get_resp.json.return_value = COMPLETED_RESEARCH_RESPONSE
mock_instance = MagicMock()
mock_instance.get = AsyncMock(return_value=get_resp)
with patch("backend.blocks.exa.research.Requests", return_value=mock_instance):
async for _ in block.run(
block.Input(
research_id="test-research-id",
credentials=TEST_CREDENTIALS_INPUT, # type: ignore[arg-type]
),
credentials=TEST_CREDENTIALS,
):
pass
assert len(merged) == 1
assert merged[0].provider_cost == pytest.approx(0.05)
@pytest.mark.asyncio
async def test_no_merge_when_no_cost_dollars(self):
"""When research has no costDollars, merge_stats is not called."""
from backend.blocks.exa.research import ExaGetResearchBlock
block = ExaGetResearchBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
no_cost_response = {**COMPLETED_RESEARCH_RESPONSE, "costDollars": None}
get_resp = MagicMock()
get_resp.json.return_value = no_cost_response
mock_instance = MagicMock()
mock_instance.get = AsyncMock(return_value=get_resp)
with patch("backend.blocks.exa.research.Requests", return_value=mock_instance):
async for _ in block.run(
block.Input(
research_id="test-research-id",
credentials=TEST_CREDENTIALS_INPUT, # type: ignore[arg-type]
),
credentials=TEST_CREDENTIALS,
):
pass
assert merged == []
# ---------------------------------------------------------------------------
# ExaWaitForResearchBlock — cost_dollars from polling response
# ---------------------------------------------------------------------------
class TestExaWaitForResearchBlockCostTracking:
"""ExaWaitForResearchBlock merges cost when the polled research has cost_dollars."""
@pytest.mark.asyncio
async def test_cost_merged_when_research_completes(self):
"""merge_stats called with provider_cost=total once polling returns completed."""
from backend.blocks.exa.research import ExaWaitForResearchBlock
block = ExaWaitForResearchBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
poll_resp = MagicMock()
poll_resp.json.return_value = COMPLETED_RESEARCH_RESPONSE
mock_instance = MagicMock()
mock_instance.get = AsyncMock(return_value=poll_resp)
with (
patch("backend.blocks.exa.research.Requests", return_value=mock_instance),
patch("asyncio.sleep", new=AsyncMock()),
):
async for _ in block.run(
block.Input(
research_id="test-research-id",
credentials=TEST_CREDENTIALS_INPUT, # type: ignore[arg-type]
),
credentials=TEST_CREDENTIALS,
):
pass
assert len(merged) == 1
assert merged[0].provider_cost == pytest.approx(0.05)
@pytest.mark.asyncio
async def test_no_merge_when_no_cost_dollars(self):
"""When completed research has no costDollars, merge_stats is not called."""
from backend.blocks.exa.research import ExaWaitForResearchBlock
block = ExaWaitForResearchBlock()
merged: list[NodeExecutionStats] = []
block.merge_stats = lambda s: merged.append(s) # type: ignore[assignment]
no_cost_response = {**COMPLETED_RESEARCH_RESPONSE, "costDollars": None}
poll_resp = MagicMock()
poll_resp.json.return_value = no_cost_response
mock_instance = MagicMock()
mock_instance.get = AsyncMock(return_value=poll_resp)
with (
patch("backend.blocks.exa.research.Requests", return_value=mock_instance),
patch("asyncio.sleep", new=AsyncMock()),
):
async for _ in block.run(
block.Input(
research_id="test-research-id",
credentials=TEST_CREDENTIALS_INPUT, # type: ignore[arg-type]
),
credentials=TEST_CREDENTIALS,
):
pass
assert merged == []

View File

@@ -12,6 +12,7 @@ from typing import Any, Dict, List, Optional
from pydantic import BaseModel
from backend.data.model import NodeExecutionStats
from backend.sdk import (
APIKeyCredentials,
Block,
@@ -232,6 +233,11 @@ class ExaCreateResearchBlock(Block):
if research.cost_dollars:
yield "cost_total", research.cost_dollars.total
self.merge_stats(
NodeExecutionStats(
provider_cost=research.cost_dollars.total
)
)
return
await asyncio.sleep(check_interval)
@@ -346,6 +352,9 @@ class ExaGetResearchBlock(Block):
yield "cost_searches", research.cost_dollars.num_searches
yield "cost_pages", research.cost_dollars.num_pages
yield "cost_reasoning_tokens", research.cost_dollars.reasoning_tokens
self.merge_stats(
NodeExecutionStats(provider_cost=research.cost_dollars.total)
)
yield "error_message", research.error
@@ -432,6 +441,9 @@ class ExaWaitForResearchBlock(Block):
if research.cost_dollars:
yield "cost_total", research.cost_dollars.total
self.merge_stats(
NodeExecutionStats(provider_cost=research.cost_dollars.total)
)
return

View File

@@ -4,6 +4,7 @@ from typing import Optional
from exa_py import AsyncExa
from backend.data.model import NodeExecutionStats
from backend.sdk import (
APIKeyCredentials,
Block,
@@ -206,3 +207,6 @@ class ExaSearchBlock(Block):
if response.cost_dollars:
yield "cost_dollars", response.cost_dollars
self.merge_stats(
NodeExecutionStats(provider_cost=response.cost_dollars.total)
)

View File

@@ -3,6 +3,7 @@ from typing import Optional
from exa_py import AsyncExa
from backend.data.model import NodeExecutionStats
from backend.sdk import (
APIKeyCredentials,
Block,
@@ -167,3 +168,6 @@ class ExaFindSimilarBlock(Block):
if response.cost_dollars:
yield "cost_dollars", response.cost_dollars
self.merge_stats(
NodeExecutionStats(provider_cost=response.cost_dollars.total)
)

View File

@@ -14,6 +14,7 @@ from backend.data.model import (
APIKeyCredentials,
CredentialsField,
CredentialsMetaInput,
NodeExecutionStats,
SchemaField,
)
from backend.integrations.providers import ProviderName
@@ -117,6 +118,11 @@ class GoogleMapsSearchBlock(Block):
input_data.radius,
input_data.max_results,
)
self.merge_stats(
NodeExecutionStats(
provider_cost=float(len(places)), provider_cost_type="items"
)
)
for place in places:
yield "place", place

View File

@@ -10,7 +10,7 @@ from backend.blocks.jina._auth import (
JinaCredentialsField,
JinaCredentialsInput,
)
from backend.data.model import SchemaField
from backend.data.model import NodeExecutionStats, SchemaField
from backend.util.request import Requests
@@ -45,5 +45,13 @@ class JinaEmbeddingBlock(Block):
}
data = {"input": input_data.texts, "model": input_data.model}
response = await Requests().post(url, headers=headers, json=data)
embeddings = [e["embedding"] for e in response.json()["data"]]
resp_json = response.json()
embeddings = [e["embedding"] for e in resp_json["data"]]
usage = resp_json.get("usage", {})
if usage.get("total_tokens"):
self.merge_stats(
NodeExecutionStats(
input_token_count=usage.get("total_tokens", 0),
)
)
yield "embeddings", embeddings

View File

@@ -1,6 +1,7 @@
# This file contains a lot of prompt block strings that would trigger "line too long"
# flake8: noqa: E501
import logging
import math
import re
import secrets
from abc import ABC
@@ -13,6 +14,7 @@ import ollama
import openai
from anthropic.types import ToolParam
from groq import AsyncGroq
from openai.types.chat import ChatCompletion as OpenAIChatCompletion
from pydantic import BaseModel, SecretStr
from backend.blocks._base import (
@@ -104,7 +106,6 @@ class LlmModelMeta(EnumMeta):
class LlmModel(str, Enum, metaclass=LlmModelMeta):
@classmethod
def _missing_(cls, value: object) -> "LlmModel | None":
"""Handle provider-prefixed model names like 'anthropic/claude-sonnet-4-6'."""
@@ -201,10 +202,25 @@ class LlmModel(str, Enum, metaclass=LlmModelMeta):
GROK_4 = "x-ai/grok-4"
GROK_4_FAST = "x-ai/grok-4-fast"
GROK_4_1_FAST = "x-ai/grok-4.1-fast"
GROK_4_20 = "x-ai/grok-4.20"
GROK_4_20_MULTI_AGENT = "x-ai/grok-4.20-multi-agent"
GROK_CODE_FAST_1 = "x-ai/grok-code-fast-1"
KIMI_K2 = "moonshotai/kimi-k2"
QWEN3_235B_A22B_THINKING = "qwen/qwen3-235b-a22b-thinking-2507"
QWEN3_CODER = "qwen/qwen3-coder"
# Z.ai (Zhipu) models
ZAI_GLM_4_32B = "z-ai/glm-4-32b"
ZAI_GLM_4_5 = "z-ai/glm-4.5"
ZAI_GLM_4_5_AIR = "z-ai/glm-4.5-air"
ZAI_GLM_4_5_AIR_FREE = "z-ai/glm-4.5-air:free"
ZAI_GLM_4_5V = "z-ai/glm-4.5v"
ZAI_GLM_4_6 = "z-ai/glm-4.6"
ZAI_GLM_4_6V = "z-ai/glm-4.6v"
ZAI_GLM_4_7 = "z-ai/glm-4.7"
ZAI_GLM_4_7_FLASH = "z-ai/glm-4.7-flash"
ZAI_GLM_5 = "z-ai/glm-5"
ZAI_GLM_5_TURBO = "z-ai/glm-5-turbo"
ZAI_GLM_5V_TURBO = "z-ai/glm-5v-turbo"
# Llama API models
LLAMA_API_LLAMA_4_SCOUT = "Llama-4-Scout-17B-16E-Instruct-FP8"
LLAMA_API_LLAMA4_MAVERICK = "Llama-4-Maverick-17B-128E-Instruct-FP8"
@@ -612,6 +628,18 @@ MODEL_METADATA = {
LlmModel.GROK_4_1_FAST: ModelMetadata(
"open_router", 2000000, 30000, "Grok 4.1 Fast", "OpenRouter", "xAI", 1
),
LlmModel.GROK_4_20: ModelMetadata(
"open_router", 2000000, 100000, "Grok 4.20", "OpenRouter", "xAI", 3
),
LlmModel.GROK_4_20_MULTI_AGENT: ModelMetadata(
"open_router",
2000000,
100000,
"Grok 4.20 Multi-Agent",
"OpenRouter",
"xAI",
3,
),
LlmModel.GROK_CODE_FAST_1: ModelMetadata(
"open_router", 256000, 10000, "Grok Code Fast 1", "OpenRouter", "xAI", 1
),
@@ -630,6 +658,43 @@ MODEL_METADATA = {
LlmModel.QWEN3_CODER: ModelMetadata(
"open_router", 262144, 262144, "Qwen 3 Coder", "OpenRouter", "Qwen", 3
),
# https://openrouter.ai/models?q=z-ai
LlmModel.ZAI_GLM_4_32B: ModelMetadata(
"open_router", 128000, 128000, "GLM 4 32B", "OpenRouter", "Z.ai", 1
),
LlmModel.ZAI_GLM_4_5: ModelMetadata(
"open_router", 131072, 98304, "GLM 4.5", "OpenRouter", "Z.ai", 2
),
LlmModel.ZAI_GLM_4_5_AIR: ModelMetadata(
"open_router", 131072, 98304, "GLM 4.5 Air", "OpenRouter", "Z.ai", 1
),
LlmModel.ZAI_GLM_4_5_AIR_FREE: ModelMetadata(
"open_router", 131072, 96000, "GLM 4.5 Air (Free)", "OpenRouter", "Z.ai", 1
),
LlmModel.ZAI_GLM_4_5V: ModelMetadata(
"open_router", 65536, 16384, "GLM 4.5V", "OpenRouter", "Z.ai", 2
),
LlmModel.ZAI_GLM_4_6: ModelMetadata(
"open_router", 204800, 204800, "GLM 4.6", "OpenRouter", "Z.ai", 1
),
LlmModel.ZAI_GLM_4_6V: ModelMetadata(
"open_router", 131072, 131072, "GLM 4.6V", "OpenRouter", "Z.ai", 1
),
LlmModel.ZAI_GLM_4_7: ModelMetadata(
"open_router", 202752, 65535, "GLM 4.7", "OpenRouter", "Z.ai", 1
),
LlmModel.ZAI_GLM_4_7_FLASH: ModelMetadata(
"open_router", 202752, 202752, "GLM 4.7 Flash", "OpenRouter", "Z.ai", 1
),
LlmModel.ZAI_GLM_5: ModelMetadata(
"open_router", 80000, 80000, "GLM 5", "OpenRouter", "Z.ai", 2
),
LlmModel.ZAI_GLM_5_TURBO: ModelMetadata(
"open_router", 202752, 131072, "GLM 5 Turbo", "OpenRouter", "Z.ai", 3
),
LlmModel.ZAI_GLM_5V_TURBO: ModelMetadata(
"open_router", 202752, 131072, "GLM 5V Turbo", "OpenRouter", "Z.ai", 3
),
# Llama API models
LlmModel.LLAMA_API_LLAMA_4_SCOUT: ModelMetadata(
"llama_api",
@@ -686,17 +751,20 @@ class LLMResponse(BaseModel):
tool_calls: Optional[List[ToolContentBlock]] | None
prompt_tokens: int
completion_tokens: int
cache_read_tokens: int = 0
cache_creation_tokens: int = 0
reasoning: Optional[str] = None
provider_cost: float | None = None
def convert_openai_tool_fmt_to_anthropic(
openai_tools: list[dict] | None = None,
) -> Iterable[ToolParam] | anthropic.Omit:
) -> Iterable[ToolParam] | anthropic.NotGiven:
"""
Convert OpenAI tool format to Anthropic tool format.
"""
if not openai_tools or len(openai_tools) == 0:
return anthropic.omit
return anthropic.NOT_GIVEN
anthropic_tools = []
for tool in openai_tools:
@@ -721,6 +789,35 @@ def convert_openai_tool_fmt_to_anthropic(
return anthropic_tools
def extract_openrouter_cost(response: OpenAIChatCompletion) -> float | None:
"""Extract OpenRouter's `x-total-cost` header from an OpenAI SDK response.
OpenRouter returns the per-request USD cost in a response header. The
OpenAI SDK exposes the raw httpx response via an undocumented `_response`
attribute. We use try/except AttributeError so that if the SDK ever drops
or renames that attribute, the warning is visible in logs rather than
silently degrading to no cost tracking.
"""
try:
raw_resp = response._response # type: ignore[attr-defined]
except AttributeError:
logger.warning(
"OpenAI SDK response missing _response attribute"
" — OpenRouter cost tracking unavailable"
)
return None
try:
cost_header = raw_resp.headers.get("x-total-cost")
if not cost_header:
return None
cost = float(cost_header)
if not math.isfinite(cost) or cost < 0:
return None
return cost
except (ValueError, TypeError, AttributeError):
return None
def extract_openai_reasoning(response) -> str | None:
"""Extract reasoning from OpenAI-compatible response if available."""
"""Note: This will likely not working since the reasoning is not present in another Response API"""
@@ -803,6 +900,21 @@ async def llm_call(
provider = llm_model.metadata.provider
context_window = llm_model.context_window
# Transparent OpenRouter routing for Anthropic models: when an OpenRouter API key
# is configured, route direct-Anthropic models through OpenRouter instead. This
# gives us the x-total-cost header for free, so provider_cost is always populated
# without manual token-rate arithmetic.
or_key = settings.secrets.open_router_api_key
or_model_id: str | None = None
if provider == "anthropic" and or_key:
provider = "open_router"
credentials = APIKeyCredentials(
provider=ProviderName.OPEN_ROUTER,
title="OpenRouter (auto)",
api_key=SecretStr(or_key),
)
or_model_id = f"anthropic/{llm_model.value}"
if compress_prompt_to_fit:
result = await compress_context(
messages=prompt,
@@ -888,8 +1000,12 @@ async def llm_call(
reasoning=reasoning,
)
elif provider == "anthropic":
an_tools = convert_openai_tool_fmt_to_anthropic(tools)
# Cache tool definitions alongside the system prompt.
# Placing cache_control on the last tool caches all tool schemas as a
# single prefix — reads cost 10% of normal input tokens.
if isinstance(an_tools, list) and an_tools:
an_tools[-1] = {**an_tools[-1], "cache_control": {"type": "ephemeral"}}
system_messages = [p["content"] for p in prompt if p["role"] == "system"]
sysprompt = " ".join(system_messages)
@@ -912,14 +1028,34 @@ async def llm_call(
client = anthropic.AsyncAnthropic(
api_key=credentials.api_key.get_secret_value()
)
resp = await client.messages.create(
# create_kwargs is built as a plain dict so we can conditionally add
# the `system` field only when the prompt is non-empty. Anthropic's
# API rejects empty text blocks (returns HTTP 400), so omitting the
# field is the correct behaviour for whitespace-only prompts.
create_kwargs: dict[str, Any] = dict(
model=llm_model.value,
system=sysprompt,
messages=messages,
max_tokens=max_tokens,
# `an_tools` may be anthropic.NOT_GIVEN when no tools were
# configured. The SDK treats NOT_GIVEN as a sentinel meaning "omit
# this field from the serialized request", so passing it here is
# equivalent to not including the key at all — no `tools` field is
# sent to the API in that case.
tools=an_tools,
timeout=600,
)
if sysprompt.strip():
# Wrap the system prompt in a single cacheable text block.
# The guard intentionally omits `system` for whitespace-only
# prompts — Anthropic rejects empty text blocks with HTTP 400.
create_kwargs["system"] = [
{
"type": "text",
"text": sysprompt,
"cache_control": {"type": "ephemeral"},
}
]
resp = await client.messages.create(**create_kwargs)
if not resp.content:
raise ValueError("No content returned from Anthropic.")
@@ -964,6 +1100,11 @@ async def llm_call(
tool_calls=tool_calls,
prompt_tokens=resp.usage.input_tokens,
completion_tokens=resp.usage.output_tokens,
cache_read_tokens=getattr(resp.usage, "cache_read_input_tokens", None) or 0,
cache_creation_tokens=getattr(
resp.usage, "cache_creation_input_tokens", None
)
or 0,
reasoning=reasoning,
)
elif provider == "groq":
@@ -1032,7 +1173,7 @@ async def llm_call(
"HTTP-Referer": "https://agpt.co",
"X-Title": "AutoGPT",
},
model=llm_model.value,
model=or_model_id or llm_model.value,
messages=prompt, # type: ignore
max_tokens=max_tokens,
tools=tools_param, # type: ignore
@@ -1053,6 +1194,7 @@ async def llm_call(
prompt_tokens=response.usage.prompt_tokens if response.usage else 0,
completion_tokens=response.usage.completion_tokens if response.usage else 0,
reasoning=reasoning,
provider_cost=extract_openrouter_cost(response),
)
elif provider == "llama_api":
tools_param = tools if tools else openai.NOT_GIVEN
@@ -1360,6 +1502,7 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
error_feedback_message = ""
llm_model = input_data.model
total_provider_cost: float | None = None
for retry_count in range(input_data.retry):
logger.debug(f"LLM request: {prompt}")
@@ -1377,12 +1520,19 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
max_tokens=input_data.max_tokens,
)
response_text = llm_response.response
self.merge_stats(
NodeExecutionStats(
input_token_count=llm_response.prompt_tokens,
output_token_count=llm_response.completion_tokens,
)
# Accumulate token counts and provider_cost for every attempt
# (each call costs tokens and USD, regardless of validation outcome).
token_stats = NodeExecutionStats(
input_token_count=llm_response.prompt_tokens,
output_token_count=llm_response.completion_tokens,
cache_read_token_count=llm_response.cache_read_tokens,
cache_creation_token_count=llm_response.cache_creation_tokens,
)
self.merge_stats(token_stats)
if llm_response.provider_cost is not None:
total_provider_cost = (
total_provider_cost or 0.0
) + llm_response.provider_cost
logger.debug(f"LLM attempt-{retry_count} response: {response_text}")
if input_data.expected_format:
@@ -1451,6 +1601,7 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
NodeExecutionStats(
llm_call_count=retry_count + 1,
llm_retry_count=retry_count,
provider_cost=total_provider_cost,
)
)
yield "response", response_obj
@@ -1471,6 +1622,7 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
NodeExecutionStats(
llm_call_count=retry_count + 1,
llm_retry_count=retry_count,
provider_cost=total_provider_cost,
)
)
yield "response", {"response": response_text}
@@ -1502,6 +1654,10 @@ class AIStructuredResponseGeneratorBlock(AIBlockBase):
error_feedback_message = f"Error calling LLM: {e}"
# All retries exhausted or user-error break: persist accumulated cost so
# the executor can still charge/report the spend even on failure.
if total_provider_cost is not None:
self.merge_stats(NodeExecutionStats(provider_cost=total_provider_cost))
raise RuntimeError(error_feedback_message)
def response_format_instructions(

View File

@@ -36,6 +36,7 @@ from backend.data.execution import ExecutionContext
from backend.data.model import NodeExecutionStats, SchemaField
from backend.util import json
from backend.util.clients import get_database_manager_async_client
from backend.util.exceptions import InsufficientBalanceError
from backend.util.prompt import MAIN_OBJECTIVE_PREFIX
from backend.util.security import SENSITIVE_FIELD_NAMES
from backend.util.tool_call_loop import (
@@ -251,8 +252,13 @@ def _convert_raw_response_to_dict(
# Already a dict (from tests or some providers)
return raw_response
elif _is_responses_api_object(raw_response):
# OpenAI Responses API: extract individual output items
items = [json.to_dict(item) for item in raw_response.output]
# OpenAI Responses API: extract individual output items.
# Strip 'status' — it's a response-only field that OpenAI rejects
# when the item is sent back as input on the next API call.
items = [
{k: v for k, v in json.to_dict(item).items() if k != "status"}
for item in raw_response.output
]
return items if items else [{"role": "assistant", "content": ""}]
else:
# Chat Completions / Anthropic return message objects
@@ -359,10 +365,31 @@ def _disambiguate_tool_names(tools: list[dict[str, Any]]) -> None:
class OrchestratorBlock(Block):
"""A block that uses a language model to orchestrate tool calls.
Supports both single-shot and iterative agent mode execution.
**InsufficientBalanceError propagation contract**: ``InsufficientBalanceError``
(IBE) must always re-raise through every ``except`` block in this class.
Swallowing IBE would let the agent loop continue with unpaid work. Every
exception handler that catches ``Exception`` includes an explicit IBE
re-raise carve-out for this reason.
"""
A block that uses a language model to orchestrate tool calls, supporting both
single-shot and iterative agent mode execution.
"""
def extra_runtime_cost(self, execution_stats: NodeExecutionStats) -> int:
"""Charge one extra runtime cost per LLM call beyond the first.
In agent mode each iteration makes one LLM call. The first is already
covered by charge_usage(); this returns the number of additional
credits so the executor can bill the remaining calls post-completion.
SDK-mode exemption: when the block runs via _execute_tools_sdk_mode,
the SDK manages its own conversation loop and only exposes aggregate
usage. We hardcode llm_call_count=1 there (the SDK does not report a
per-turn call count), so this method always returns 0 for SDK-mode
executions. Per-iteration billing does not apply to SDK mode.
"""
return max(0, execution_stats.llm_call_count - 1)
# MCP server name used by the Claude Code SDK execution mode. Keep in sync
# with _create_graph_mcp_server and the MCP_PREFIX derivation in _execute_tools_sdk_mode.
@@ -844,7 +871,10 @@ class OrchestratorBlock(Block):
NodeExecutionStats(
input_token_count=resp.prompt_tokens,
output_token_count=resp.completion_tokens,
cache_read_token_count=resp.cache_read_tokens,
cache_creation_token_count=resp.cache_creation_tokens,
llm_call_count=1,
provider_cost=resp.provider_cost,
)
)
@@ -1069,7 +1099,10 @@ class OrchestratorBlock(Block):
input_data=input_value,
)
assert node_exec_result is not None, "node_exec_result should not be None"
if node_exec_result is None:
raise RuntimeError(
f"upsert_execution_input returned None for node {sink_node_id}"
)
# Create NodeExecutionEntry for execution manager
node_exec_entry = NodeExecutionEntry(
@@ -1104,15 +1137,86 @@ class OrchestratorBlock(Block):
task=node_exec_future,
)
# Execute the node directly since we're in the Orchestrator context
node_exec_future.set_result(
await execution_processor.on_node_execution(
# Execute the node directly since we're in the Orchestrator context.
# Wrap in try/except so the future is always resolved, even on
# error — an unresolved Future would block anything awaiting it.
#
# on_node_execution is decorated with @async_error_logged(swallow=True),
# which catches BaseException and returns None rather than raising.
# Treat a None return as a failure: set_exception so the future
# carries an error state rather than a None result, and return an
# error response so the LLM knows the tool failed.
try:
tool_node_stats = await execution_processor.on_node_execution(
node_exec=node_exec_entry,
node_exec_progress=node_exec_progress,
nodes_input_masks=None,
graph_stats_pair=graph_stats_pair,
)
)
if tool_node_stats is None:
nil_err = RuntimeError(
f"on_node_execution returned None for node {sink_node_id} "
"(error was swallowed by @async_error_logged)"
)
node_exec_future.set_exception(nil_err)
resp = _create_tool_response(
tool_call.id,
"Tool execution returned no result",
responses_api=responses_api,
)
resp["_is_error"] = True
return resp
node_exec_future.set_result(tool_node_stats)
except Exception as exec_err:
node_exec_future.set_exception(exec_err)
raise
# Charge user credits AFTER successful tool execution. Tools
# spawned by the orchestrator bypass the main execution queue
# (where _charge_usage is called), so we must charge here to
# avoid free tool execution. Charging post-completion (vs.
# pre-execution) avoids billing users for failed tool calls.
# Skipped for dry runs.
#
# `error is None` intentionally excludes both Exception and
# BaseException subclasses (e.g. CancelledError) so cancelled
# or terminated tool runs are not billed.
#
# Billing errors (including non-balance exceptions) are kept
# in a separate try/except so they are never silently swallowed
# by the generic tool-error handler below.
if (
not execution_params.execution_context.dry_run
and tool_node_stats.error is None
):
try:
tool_cost, _ = await execution_processor.charge_node_usage(
node_exec_entry,
)
except InsufficientBalanceError:
# IBE must propagate — see OrchestratorBlock class docstring.
# Log the billing failure here so the discarded tool result
# is traceable before the loop aborts.
logger.warning(
"Insufficient balance charging for tool node %s after "
"successful execution; agent loop will be aborted",
sink_node_id,
)
raise
except Exception:
# Non-billing charge failures (DB outage, network, etc.)
# must NOT propagate to the outer except handler because
# the tool itself succeeded. Re-raising would mark the
# tool as failed (_is_error=True), causing the LLM to
# retry side-effectful operations. Log and continue.
logger.exception(
"Unexpected error charging for tool node %s; "
"tool execution was successful",
sink_node_id,
)
tool_cost = 0
if tool_cost > 0:
self.merge_stats(NodeExecutionStats(extra_cost=tool_cost))
# Get outputs from database after execution completes using database manager client
node_outputs = await db_client.get_execution_outputs_by_node_exec_id(
@@ -1125,18 +1229,26 @@ class OrchestratorBlock(Block):
if node_outputs
else "Tool executed successfully"
)
return _create_tool_response(
resp = _create_tool_response(
tool_call.id, tool_response_content, responses_api=responses_api
)
resp["_is_error"] = False
return resp
except InsufficientBalanceError:
# IBE must propagate — see class docstring.
raise
except Exception as e:
logger.warning("Tool execution with manager failed: %s", e)
# Return error response
return _create_tool_response(
logger.warning("Tool execution with manager failed: %s", e, exc_info=True)
# Return a generic error to the LLM — internal exception messages
# may contain server paths, DB details, or infrastructure info.
resp = _create_tool_response(
tool_call.id,
f"Tool execution failed: {e}",
"Tool execution failed due to an internal error",
responses_api=responses_api,
)
resp["_is_error"] = True
return resp
async def _agent_mode_llm_caller(
self,
@@ -1236,13 +1348,16 @@ class OrchestratorBlock(Block):
content = str(raw_content)
else:
content = "Tool executed successfully"
tool_failed = content.startswith("Tool execution failed:")
tool_failed = result.get("_is_error", True)
return ToolCallResult(
tool_call_id=tool_call.id,
tool_name=tool_call.name,
content=content,
is_error=tool_failed,
)
except InsufficientBalanceError:
# IBE must propagate — see class docstring.
raise
except Exception as e:
logger.error("Tool execution failed: %s", e)
return ToolCallResult(
@@ -1362,9 +1477,13 @@ class OrchestratorBlock(Block):
"arguments": tc.arguments,
},
)
except InsufficientBalanceError:
# IBE must propagate — see class docstring.
raise
except Exception as e:
# Catch all errors (validation, network, API) so that the block
# surfaces them as user-visible output instead of crashing.
# Catch all OTHER errors (validation, network, API) so that
# the block surfaces them as user-visible output instead of
# crashing.
yield "error", str(e)
return
@@ -1442,11 +1561,14 @@ class OrchestratorBlock(Block):
text = content
else:
text = json.dumps(content)
tool_failed = text.startswith("Tool execution failed:")
tool_failed = result.get("_is_error", True)
return {
"content": [{"type": "text", "text": text}],
"isError": tool_failed,
}
except InsufficientBalanceError:
# IBE must propagate — see class docstring.
raise
except Exception as e:
logger.error("SDK tool execution failed: %s", e)
return {
@@ -1572,6 +1694,7 @@ class OrchestratorBlock(Block):
conversation: list[dict[str, Any]] = list(prompt) # Start with input prompt
total_prompt_tokens = 0
total_completion_tokens = 0
total_cost_usd: float | None = None
sdk_error: Exception | None = None
try:
@@ -1715,6 +1838,8 @@ class OrchestratorBlock(Block):
total_completion_tokens += getattr(
sdk_msg.usage, "output_tokens", 0
)
if sdk_msg.total_cost_usd is not None:
total_cost_usd = sdk_msg.total_cost_usd
finally:
if pending_task is not None and not pending_task.done():
pending_task.cancel()
@@ -1722,11 +1847,15 @@ class OrchestratorBlock(Block):
await pending_task
except (asyncio.CancelledError, StopAsyncIteration):
pass
except InsufficientBalanceError:
# IBE must propagate — see class docstring. The `finally`
# block below still runs and records partial token usage.
raise
except Exception as e:
# Surface SDK errors as user-visible output instead of crashing,
# consistent with _execute_tools_agent_mode error handling.
# Don't return yet — fall through to merge_stats below so
# partial token usage is always recorded.
# Surface OTHER SDK errors as user-visible output instead
# of crashing, consistent with _execute_tools_agent_mode
# error handling. Don't return yet — fall through to
# merge_stats below so partial token usage is always recorded.
sdk_error = e
finally:
# Always record usage stats, even on error. The SDK may have
@@ -1734,12 +1863,17 @@ class OrchestratorBlock(Block):
# those stats would under-count resource usage.
# llm_call_count=1 is approximate; the SDK manages its own
# multi-turn loop and only exposes aggregate usage.
if total_prompt_tokens > 0 or total_completion_tokens > 0:
if (
total_prompt_tokens > 0
or total_completion_tokens > 0
or total_cost_usd is not None
):
self.merge_stats(
NodeExecutionStats(
input_token_count=total_prompt_tokens,
output_token_count=total_completion_tokens,
llm_call_count=1,
provider_cost=total_cost_usd,
)
)
# Clean up execution-specific working directory.

View File

@@ -98,14 +98,23 @@ class PerplexityBlock(Block):
return _sanitize_perplexity_model(v)
@classmethod
def validate_data(cls, data: BlockInput) -> str | None:
def validate_data(
cls,
data: BlockInput,
exclude_fields: set[str] | None = None,
) -> str | None:
"""Sanitize the model field before JSON schema validation so that
invalid values are replaced with the default instead of raising a
BlockInputError."""
BlockInputError.
Signature matches ``BlockSchema.validate_data`` (including the
optional ``exclude_fields`` kwarg added for dry-run credential
bypass) so Pyright doesn't flag this as an incompatible override.
"""
model_value = data.get("model")
if model_value is not None:
data["model"] = _sanitize_perplexity_model(model_value).value
return super().validate_data(data)
return super().validate_data(data, exclude_fields=exclude_fields)
system_prompt: str = SchemaField(
title="System Prompt",

View File

@@ -23,7 +23,7 @@ from backend.blocks.smartlead.models import (
SaveSequencesResponse,
Sequence,
)
from backend.data.model import CredentialsField, SchemaField
from backend.data.model import CredentialsField, NodeExecutionStats, SchemaField
class CreateCampaignBlock(Block):
@@ -226,6 +226,12 @@ class AddLeadToCampaignBlock(Block):
response = await self.add_leads_to_campaign(
input_data.campaign_id, input_data.lead_list, credentials
)
self.merge_stats(
NodeExecutionStats(
provider_cost=float(len(input_data.lead_list)),
provider_cost_type="items",
)
)
yield "campaign_id", input_data.campaign_id
yield "upload_count", response.upload_count

View File

@@ -1,13 +1,14 @@
"""Tests for AutoPilotBlock: recursion guard, streaming, validation, and error paths."""
import asyncio
from unittest.mock import AsyncMock
from unittest.mock import AsyncMock, patch
import pytest
from backend.blocks.autopilot import (
AUTOPILOT_BLOCK_ID,
AutoPilotBlock,
SubAgentRecursionError,
_autopilot_recursion_depth,
_autopilot_recursion_limit,
_check_recursion,
@@ -57,7 +58,7 @@ class TestCheckRecursion:
try:
t2 = _check_recursion(2)
try:
with pytest.raises(RuntimeError, match="recursion depth limit"):
with pytest.raises(SubAgentRecursionError):
_check_recursion(2)
finally:
_reset_recursion(t2)
@@ -71,7 +72,7 @@ class TestCheckRecursion:
t2 = _check_recursion(10) # inner wants 10, but inherited is 2
try:
# depth is now 2, limit is min(10, 2) = 2 → should raise
with pytest.raises(RuntimeError, match="recursion depth limit"):
with pytest.raises(SubAgentRecursionError):
_check_recursion(10)
finally:
_reset_recursion(t2)
@@ -81,7 +82,7 @@ class TestCheckRecursion:
def test_limit_of_one_blocks_immediately_on_second_call(self):
t1 = _check_recursion(1)
try:
with pytest.raises(RuntimeError):
with pytest.raises(SubAgentRecursionError):
_check_recursion(1)
finally:
_reset_recursion(t1)
@@ -175,6 +176,29 @@ class TestRunValidation:
assert outputs["session_id"] == "sess-cancel"
assert "cancelled" in outputs.get("error", "").lower()
@pytest.mark.asyncio
async def test_dry_run_inherited_from_execution_context(self, block):
"""execution_context.dry_run=True must be OR-ed into create_session dry_run
so that nested AutoPilot sessions simulate even when input_data.dry_run=False.
"""
mock_result = (
"ok",
[],
"[]",
"sess-dry",
{"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0},
)
block.execute_copilot = AsyncMock(return_value=mock_result)
block.create_session = AsyncMock(return_value="sess-dry")
input_data = block.Input(prompt="test", max_recursion_depth=3, dry_run=False)
ctx = _make_context()
ctx.dry_run = True # outer execution is dry_run
async for _ in block.run(input_data, execution_context=ctx):
pass
block.create_session.assert_called_once_with(ctx.user_id, dry_run=True)
@pytest.mark.asyncio
async def test_existing_session_id_skips_create(self, block):
"""When session_id is provided, create_session should not be called."""
@@ -221,3 +245,171 @@ class TestBlockRegistration:
# The field should exist (inherited) but there should be no explicit
# redefinition. We verify by checking the class __annotations__ directly.
assert "error" not in AutoPilotBlock.Output.__annotations__
# ---------------------------------------------------------------------------
# Recovery enqueue integration tests
# ---------------------------------------------------------------------------
class TestRecoveryEnqueue:
"""Tests that run() enqueues orphaned sessions for recovery on failure."""
@pytest.fixture
def block(self):
return AutoPilotBlock()
@pytest.mark.asyncio
async def test_recovery_enqueued_on_transient_exception(self, block):
"""A generic exception should trigger _enqueue_for_recovery."""
block.execute_copilot = AsyncMock(side_effect=RuntimeError("network error"))
block.create_session = AsyncMock(return_value="sess-recover")
input_data = block.Input(prompt="do work", max_recursion_depth=3)
ctx = _make_context()
with patch("backend.blocks.autopilot._enqueue_for_recovery") as mock_enqueue:
mock_enqueue.return_value = None
outputs = {}
async for name, value in block.run(input_data, execution_context=ctx):
outputs[name] = value
assert "network error" in outputs.get("error", "")
mock_enqueue.assert_awaited_once_with(
"sess-recover",
ctx.user_id,
"do work",
False,
)
@pytest.mark.asyncio
async def test_recovery_not_enqueued_for_recursion_limit(self, block):
"""Recursion limit errors are deliberate — no recovery enqueue."""
block.execute_copilot = AsyncMock(
side_effect=SubAgentRecursionError(
"AutoPilot recursion depth limit reached (3). "
"The autopilot has called itself too many times."
)
)
block.create_session = AsyncMock(return_value="sess-rec-limit")
input_data = block.Input(prompt="recurse", max_recursion_depth=3)
ctx = _make_context()
with patch("backend.blocks.autopilot._enqueue_for_recovery") as mock_enqueue:
async for _ in block.run(input_data, execution_context=ctx):
pass
mock_enqueue.assert_not_awaited()
@pytest.mark.asyncio
async def test_recovery_not_enqueued_for_dry_run(self, block):
"""dry_run=True sessions must not be enqueued (no real consumers)."""
block.execute_copilot = AsyncMock(side_effect=RuntimeError("transient"))
block.create_session = AsyncMock(return_value="sess-dry-fail")
input_data = block.Input(prompt="test", max_recursion_depth=3, dry_run=True)
ctx = _make_context()
with patch("backend.blocks.autopilot._enqueue_for_recovery") as mock_enqueue:
mock_enqueue.return_value = None
async for _ in block.run(input_data, execution_context=ctx):
pass
# _enqueue_for_recovery is called with dry_run=True,
# so the inner guard returns early without publishing to the queue.
mock_enqueue.assert_awaited_once()
positional = mock_enqueue.call_args_list[0][0]
assert positional[3] is True # dry_run=True
@pytest.mark.asyncio
async def test_recovery_enqueue_failure_does_not_mask_original_error(self, block):
"""If _enqueue_for_recovery itself raises, the original error is still yielded."""
block.execute_copilot = AsyncMock(side_effect=ValueError("original"))
block.create_session = AsyncMock(return_value="sess-enq-fail")
input_data = block.Input(prompt="hello", max_recursion_depth=3)
ctx = _make_context()
async def _failing_enqueue(*args, **kwargs):
raise OSError("rabbitmq down")
with patch(
"backend.blocks.autopilot._enqueue_for_recovery",
side_effect=_failing_enqueue,
):
outputs = {}
async for name, value in block.run(input_data, execution_context=ctx):
outputs[name] = value
# Original error must still be surfaced despite the enqueue failure
assert outputs.get("error") == "original"
assert outputs.get("session_id") == "sess-enq-fail"
@pytest.mark.asyncio
async def test_recovery_uses_dry_run_from_context(self, block):
"""execution_context.dry_run=True is OR-ed into the dry_run arg."""
block.execute_copilot = AsyncMock(side_effect=RuntimeError("fail"))
block.create_session = AsyncMock(return_value="sess-ctx-dry")
input_data = block.Input(prompt="test", max_recursion_depth=3, dry_run=False)
ctx = _make_context()
ctx.dry_run = True # outer execution is dry_run
with patch("backend.blocks.autopilot._enqueue_for_recovery") as mock_enqueue:
mock_enqueue.return_value = None
async for _ in block.run(input_data, execution_context=ctx):
pass
mock_enqueue.assert_awaited_once()
positional = mock_enqueue.call_args_list[0][0]
assert positional[3] is True # dry_run=True
@pytest.mark.asyncio
async def test_recovery_uses_effective_prompt_with_system_context(self, block):
"""When system_context is set, _enqueue_for_recovery receives the
effective_prompt (system_context prepended) so the dedup check in
maybe_append_user_message passes on replay."""
block.execute_copilot = AsyncMock(side_effect=RuntimeError("e2b timeout"))
block.create_session = AsyncMock(return_value="sess-sys-ctx")
input_data = block.Input(
prompt="do work",
system_context="Be concise.",
max_recursion_depth=3,
)
ctx = _make_context()
with patch("backend.blocks.autopilot._enqueue_for_recovery") as mock_enqueue:
mock_enqueue.return_value = None
async for _ in block.run(input_data, execution_context=ctx):
pass
mock_enqueue.assert_awaited_once()
positional = mock_enqueue.call_args_list[0][0]
assert positional[2] == "[System Context: Be concise.]\n\ndo work"
@pytest.mark.asyncio
async def test_recovery_cancelled_error_still_yields_error(self, block):
"""CancelledError during _enqueue_for_recovery still yields the error output."""
block.execute_copilot = AsyncMock(side_effect=RuntimeError("e2b stall"))
block.create_session = AsyncMock(return_value="sess-cancel")
async def _cancelled_enqueue(*args, **kwargs):
raise asyncio.CancelledError
outputs = {}
with patch(
"backend.blocks.autopilot._enqueue_for_recovery",
side_effect=_cancelled_enqueue,
):
with pytest.raises(asyncio.CancelledError):
async for name, value in block.run(
block.Input(prompt="do work", max_recursion_depth=3),
execution_context=_make_context(),
):
outputs[name] = value
# error must be yielded even when recovery raises CancelledError
assert outputs.get("error") == "e2b stall"
assert outputs.get("session_id") == "sess-cancel"

View File

@@ -46,6 +46,110 @@ class TestLLMStatsTracking:
assert response.completion_tokens == 20
assert response.response == "Test response"
@pytest.mark.asyncio
async def test_llm_call_anthropic_returns_cache_tokens(self):
"""Test that llm_call returns cache read/creation tokens from Anthropic."""
from pydantic import SecretStr
import backend.blocks.llm as llm
from backend.data.model import APIKeyCredentials
anthropic_creds = APIKeyCredentials(
id="test-anthropic-id",
provider="anthropic",
api_key=SecretStr("mock-anthropic-key"),
title="Mock Anthropic key",
expires_at=None,
)
mock_content_block = MagicMock()
mock_content_block.type = "text"
mock_content_block.text = "Test anthropic response"
mock_usage = MagicMock()
mock_usage.input_tokens = 15
mock_usage.output_tokens = 25
mock_usage.cache_read_input_tokens = 100
mock_usage.cache_creation_input_tokens = 50
mock_response = MagicMock()
mock_response.content = [mock_content_block]
mock_response.usage = mock_usage
mock_response.stop_reason = "end_turn"
with (
patch("anthropic.AsyncAnthropic") as mock_anthropic,
patch("backend.blocks.llm.settings") as mock_settings,
):
mock_settings.secrets.open_router_api_key = ""
mock_client = AsyncMock()
mock_anthropic.return_value = mock_client
mock_client.messages.create = AsyncMock(return_value=mock_response)
response = await llm.llm_call(
credentials=anthropic_creds,
llm_model=llm.LlmModel.CLAUDE_3_HAIKU,
prompt=[{"role": "user", "content": "Hello"}],
max_tokens=100,
)
assert isinstance(response, llm.LLMResponse)
assert response.prompt_tokens == 15
assert response.completion_tokens == 25
assert response.cache_read_tokens == 100
assert response.cache_creation_tokens == 50
assert response.response == "Test anthropic response"
@pytest.mark.asyncio
async def test_anthropic_routes_through_openrouter_when_key_present(self):
"""When open_router_api_key is set, Anthropic models route via OpenRouter."""
from pydantic import SecretStr
import backend.blocks.llm as llm
from backend.data.model import APIKeyCredentials
anthropic_creds = APIKeyCredentials(
id="test-anthropic-id",
provider="anthropic",
api_key=SecretStr("mock-anthropic-key"),
title="Mock Anthropic key",
)
mock_choice = MagicMock()
mock_choice.message.content = "routed response"
mock_choice.message.tool_calls = None
mock_usage = MagicMock()
mock_usage.prompt_tokens = 10
mock_usage.completion_tokens = 5
mock_response = MagicMock()
mock_response.choices = [mock_choice]
mock_response.usage = mock_usage
mock_create = AsyncMock(return_value=mock_response)
with (
patch("openai.AsyncOpenAI") as mock_openai,
patch("backend.blocks.llm.settings") as mock_settings,
):
mock_settings.secrets.open_router_api_key = "sk-or-test-key"
mock_client = MagicMock()
mock_openai.return_value = mock_client
mock_client.chat.completions.create = mock_create
await llm.llm_call(
credentials=anthropic_creds,
llm_model=llm.LlmModel.CLAUDE_3_HAIKU,
prompt=[{"role": "user", "content": "Hello"}],
max_tokens=100,
)
# Verify OpenAI client was used (not Anthropic SDK) and model was prefixed
mock_openai.assert_called_once()
call_kwargs = mock_create.call_args.kwargs
assert call_kwargs["model"] == "anthropic/claude-3-haiku-20240307"
@pytest.mark.asyncio
async def test_ai_structured_response_block_tracks_stats(self):
"""Test that AIStructuredResponseGeneratorBlock correctly tracks stats."""
@@ -199,6 +303,139 @@ class TestLLMStatsTracking:
assert block.execution_stats.llm_call_count == 2 # retry_count + 1 = 1 + 1 = 2
assert block.execution_stats.llm_retry_count == 1
@pytest.mark.asyncio
async def test_retry_cost_accumulates_across_attempts(self):
"""provider_cost accumulates across all retry attempts.
Each LLM call incurs a real cost, including failed validation attempts.
The total cost is the sum of all attempts so no billed USD is lost.
"""
import backend.blocks.llm as llm
block = llm.AIStructuredResponseGeneratorBlock()
call_count = 0
async def mock_llm_call(*args, **kwargs):
nonlocal call_count
call_count += 1
if call_count == 1:
# First attempt: fails validation, returns cost $0.01
return llm.LLMResponse(
raw_response="",
prompt=[],
response='<json_output id="test123456">{"wrong": "key"}</json_output>',
tool_calls=None,
prompt_tokens=10,
completion_tokens=5,
reasoning=None,
provider_cost=0.01,
)
# Second attempt: succeeds, returns cost $0.02
return llm.LLMResponse(
raw_response="",
prompt=[],
response='<json_output id="test123456">{"key1": "value1", "key2": "value2"}</json_output>',
tool_calls=None,
prompt_tokens=20,
completion_tokens=10,
reasoning=None,
provider_cost=0.02,
)
block.llm_call = mock_llm_call # type: ignore
input_data = llm.AIStructuredResponseGeneratorBlock.Input(
prompt="Test prompt",
expected_format={"key1": "desc1", "key2": "desc2"},
model=llm.DEFAULT_LLM_MODEL,
credentials=llm.TEST_CREDENTIALS_INPUT, # type: ignore
retry=2,
)
with patch("secrets.token_hex", return_value="test123456"):
async for _ in block.run(input_data, credentials=llm.TEST_CREDENTIALS):
pass
# provider_cost accumulates across all attempts: $0.01 + $0.02 = $0.03
assert block.execution_stats.provider_cost == pytest.approx(0.03)
# Tokens from both attempts accumulate
assert block.execution_stats.input_token_count == 30
assert block.execution_stats.output_token_count == 15
@pytest.mark.asyncio
async def test_cache_tokens_accumulated_in_stats(self):
"""Cache read/creation tokens are tracked per-attempt and accumulated."""
import backend.blocks.llm as llm
block = llm.AIStructuredResponseGeneratorBlock()
async def mock_llm_call(*args, **kwargs):
return llm.LLMResponse(
raw_response="",
prompt=[],
response='<json_output id="tok123456">{"key1": "v1", "key2": "v2"}</json_output>',
tool_calls=None,
prompt_tokens=10,
completion_tokens=5,
cache_read_tokens=20,
cache_creation_tokens=8,
reasoning=None,
provider_cost=0.005,
)
block.llm_call = mock_llm_call # type: ignore
input_data = llm.AIStructuredResponseGeneratorBlock.Input(
prompt="Test prompt",
expected_format={"key1": "desc1", "key2": "desc2"},
model=llm.DEFAULT_LLM_MODEL,
credentials=llm.TEST_CREDENTIALS_INPUT, # type: ignore
retry=1,
)
with patch("secrets.token_hex", return_value="tok123456"):
async for _ in block.run(input_data, credentials=llm.TEST_CREDENTIALS):
pass
assert block.execution_stats.cache_read_token_count == 20
assert block.execution_stats.cache_creation_token_count == 8
@pytest.mark.asyncio
async def test_failure_path_persists_accumulated_cost(self):
"""When all retries are exhausted, accumulated provider_cost is preserved."""
import backend.blocks.llm as llm
block = llm.AIStructuredResponseGeneratorBlock()
async def mock_llm_call(*args, **kwargs):
return llm.LLMResponse(
raw_response="",
prompt=[],
response="not valid json at all",
tool_calls=None,
prompt_tokens=10,
completion_tokens=5,
reasoning=None,
provider_cost=0.01,
)
block.llm_call = mock_llm_call # type: ignore
input_data = llm.AIStructuredResponseGeneratorBlock.Input(
prompt="Test prompt",
expected_format={"key1": "desc1"},
model=llm.DEFAULT_LLM_MODEL,
credentials=llm.TEST_CREDENTIALS_INPUT, # type: ignore
retry=2,
)
with pytest.raises(RuntimeError):
async for _ in block.run(input_data, credentials=llm.TEST_CREDENTIALS):
pass
# Both retry attempts each cost $0.01, total $0.02
assert block.execution_stats.provider_cost == pytest.approx(0.02)
@pytest.mark.asyncio
async def test_ai_text_summarizer_multiple_chunks(self):
"""Test that AITextSummarizerBlock correctly accumulates stats across multiple chunks."""
@@ -987,3 +1224,295 @@ class TestLlmModelMissing:
assert (
llm.LlmModel("extra/google/gemini-2.5-pro") == llm.LlmModel.GEMINI_2_5_PRO
)
class TestExtractOpenRouterCost:
"""Tests for extract_openrouter_cost — the x-total-cost header parser."""
def _mk_response(self, headers: dict | None):
response = MagicMock()
if headers is None:
response._response = None
else:
raw = MagicMock()
raw.headers = headers
response._response = raw
return response
def test_extracts_numeric_cost(self):
response = self._mk_response({"x-total-cost": "0.0042"})
assert llm.extract_openrouter_cost(response) == 0.0042
def test_returns_none_when_header_missing(self):
response = self._mk_response({})
assert llm.extract_openrouter_cost(response) is None
def test_returns_none_when_header_empty_string(self):
response = self._mk_response({"x-total-cost": ""})
assert llm.extract_openrouter_cost(response) is None
def test_returns_none_when_header_non_numeric(self):
response = self._mk_response({"x-total-cost": "not-a-number"})
assert llm.extract_openrouter_cost(response) is None
def test_returns_none_when_no_response_attr(self):
response = MagicMock(spec=[]) # no _response attr
assert llm.extract_openrouter_cost(response) is None
def test_returns_none_when_raw_is_none(self):
response = self._mk_response(None)
assert llm.extract_openrouter_cost(response) is None
def test_returns_none_when_raw_has_no_headers(self):
response = MagicMock()
response._response = MagicMock(spec=[]) # no headers attr
assert llm.extract_openrouter_cost(response) is None
def test_returns_zero_for_zero_cost(self):
"""Zero-cost is a valid value (free tier) and must not become None."""
response = self._mk_response({"x-total-cost": "0"})
assert llm.extract_openrouter_cost(response) == 0.0
def test_returns_none_for_inf(self):
response = self._mk_response({"x-total-cost": "inf"})
assert llm.extract_openrouter_cost(response) is None
def test_returns_none_for_negative_inf(self):
response = self._mk_response({"x-total-cost": "-inf"})
assert llm.extract_openrouter_cost(response) is None
def test_returns_none_for_nan(self):
response = self._mk_response({"x-total-cost": "nan"})
assert llm.extract_openrouter_cost(response) is None
def test_returns_none_for_negative_cost(self):
response = self._mk_response({"x-total-cost": "-0.005"})
assert llm.extract_openrouter_cost(response) is None
class TestAnthropicCacheControl:
"""Verify that llm_call attaches cache_control to the system prompt block
and to the last tool definition when calling the Anthropic API."""
@pytest.fixture(autouse=True)
def disable_openrouter_routing(self):
"""Ensure tests exercise the direct-Anthropic path by suppressing the
OpenRouter API key. Without this, a local .env with OPEN_ROUTER_API_KEY
set would silently reroute all Anthropic calls through OpenRouter,
bypassing the cache_control code under test."""
with patch("backend.blocks.llm.settings") as mock_settings:
mock_settings.secrets.open_router_api_key = ""
yield mock_settings
def _make_anthropic_credentials(self) -> llm.APIKeyCredentials:
from pydantic import SecretStr
return llm.APIKeyCredentials(
id="test-anthropic-id",
provider="anthropic",
api_key=SecretStr("mock-anthropic-key"),
title="Mock Anthropic key",
expires_at=None,
)
@pytest.mark.asyncio
async def test_system_prompt_sent_as_block_with_cache_control(self):
"""The system prompt is wrapped in a structured block with cache_control ephemeral."""
mock_resp = MagicMock()
mock_resp.content = [MagicMock(type="text", text="hello")]
mock_resp.usage = MagicMock(input_tokens=5, output_tokens=3)
captured_kwargs: dict = {}
async def fake_create(**kwargs):
captured_kwargs.update(kwargs)
return mock_resp
mock_client = MagicMock()
mock_client.messages.create = fake_create
credentials = self._make_anthropic_credentials()
with patch("anthropic.AsyncAnthropic", return_value=mock_client):
await llm.llm_call(
credentials=credentials,
llm_model=llm.LlmModel.CLAUDE_4_6_SONNET,
prompt=[
{"role": "system", "content": "You are an assistant."},
{"role": "user", "content": "Hello"},
],
max_tokens=100,
)
system_arg = captured_kwargs.get("system")
assert isinstance(system_arg, list), "system should be a list of blocks"
assert len(system_arg) == 1
block = system_arg[0]
assert block["type"] == "text"
assert block["text"] == "You are an assistant."
assert block.get("cache_control") == {"type": "ephemeral"}
@pytest.mark.asyncio
async def test_last_tool_gets_cache_control(self):
"""cache_control is placed on the last tool in the Anthropic tools list."""
mock_resp = MagicMock()
mock_resp.content = [MagicMock(type="text", text="ok")]
mock_resp.usage = MagicMock(input_tokens=10, output_tokens=5)
captured_kwargs: dict = {}
async def fake_create(**kwargs):
captured_kwargs.update(kwargs)
return mock_resp
mock_client = MagicMock()
mock_client.messages.create = fake_create
credentials = self._make_anthropic_credentials()
tools = [
{
"type": "function",
"function": {
"name": "tool_a",
"description": "First tool",
"parameters": {"type": "object", "properties": {}, "required": []},
},
},
{
"type": "function",
"function": {
"name": "tool_b",
"description": "Second tool",
"parameters": {"type": "object", "properties": {}, "required": []},
},
},
]
with patch("anthropic.AsyncAnthropic", return_value=mock_client):
await llm.llm_call(
credentials=credentials,
llm_model=llm.LlmModel.CLAUDE_4_6_SONNET,
prompt=[
{"role": "system", "content": "System."},
{"role": "user", "content": "Do something"},
],
max_tokens=100,
tools=tools,
)
an_tools = captured_kwargs.get("tools")
assert isinstance(an_tools, list)
assert len(an_tools) == 2
assert (
an_tools[0].get("cache_control") is None
), "Only last tool gets cache_control"
assert an_tools[-1].get("cache_control") == {"type": "ephemeral"}
@pytest.mark.asyncio
async def test_no_tools_no_cache_control_on_tools(self):
"""When there are no tools, the Anthropic call receives anthropic.NOT_GIVEN for tools."""
mock_resp = MagicMock()
mock_resp.content = [MagicMock(type="text", text="ok")]
mock_resp.usage = MagicMock(input_tokens=5, output_tokens=2)
captured_kwargs: dict = {}
async def fake_create(**kwargs):
captured_kwargs.update(kwargs)
return mock_resp
mock_client = MagicMock()
mock_client.messages.create = fake_create
credentials = self._make_anthropic_credentials()
with patch("anthropic.AsyncAnthropic", return_value=mock_client):
await llm.llm_call(
credentials=credentials,
llm_model=llm.LlmModel.CLAUDE_4_6_SONNET,
prompt=[
{"role": "system", "content": "System."},
{"role": "user", "content": "Hello"},
],
max_tokens=100,
tools=None,
)
import anthropic
tools_arg = captured_kwargs.get("tools")
assert (
tools_arg is anthropic.NOT_GIVEN
), "Empty tools should pass anthropic.NOT_GIVEN sentinel"
@pytest.mark.asyncio
async def test_empty_system_prompt_omits_system_key(self):
"""When sysprompt is empty, the 'system' key must not be sent to Anthropic.
Anthropic rejects empty text blocks; the guard in llm_call must ensure
the system argument is omitted entirely when no system messages are present.
"""
mock_resp = MagicMock()
mock_resp.content = [MagicMock(type="text", text="ok")]
mock_resp.usage = MagicMock(input_tokens=3, output_tokens=2)
captured_kwargs: dict = {}
async def fake_create(**kwargs):
captured_kwargs.update(kwargs)
return mock_resp
mock_client = MagicMock()
mock_client.messages.create = fake_create
credentials = self._make_anthropic_credentials()
with patch("anthropic.AsyncAnthropic", return_value=mock_client):
await llm.llm_call(
credentials=credentials,
llm_model=llm.LlmModel.CLAUDE_4_6_SONNET,
prompt=[{"role": "user", "content": "Hi"}],
max_tokens=50,
)
assert (
"system" not in captured_kwargs
), "system must be omitted when sysprompt is empty to avoid Anthropic 400"
@pytest.mark.asyncio
async def test_whitespace_only_system_prompt_omits_system_key(self):
"""Whitespace-only system content is treated as empty and omitted.
The guard in llm_call uses sysprompt.strip() so a prompt consisting of
only whitespace should NOT reach the Anthropic API (it would be rejected
as an empty text block).
"""
mock_resp = MagicMock()
mock_resp.content = [MagicMock(type="text", text="ok")]
mock_resp.usage = MagicMock(input_tokens=3, output_tokens=2)
captured_kwargs: dict = {}
async def fake_create(**kwargs):
captured_kwargs.update(kwargs)
return mock_resp
mock_client = MagicMock()
mock_client.messages.create = fake_create
credentials = self._make_anthropic_credentials()
with patch("anthropic.AsyncAnthropic", return_value=mock_client):
await llm.llm_call(
credentials=credentials,
llm_model=llm.LlmModel.CLAUDE_4_6_SONNET,
prompt=[
{"role": "system", "content": " \n\t "},
{"role": "user", "content": "Hi"},
],
max_tokens=50,
)
assert (
"system" not in captured_kwargs
), "whitespace-only sysprompt must be omitted to avoid Anthropic 400"

View File

@@ -922,6 +922,11 @@ async def test_orchestrator_agent_mode():
mock_execution_processor.on_node_execution = AsyncMock(
return_value=mock_node_stats
)
# Mock charge_node_usage (called after successful tool execution).
# Returns (cost, remaining_balance). Must be AsyncMock because it is
# an async method and is directly awaited in _execute_single_tool_with_manager.
# Use a non-zero cost so the merge_stats branch is exercised.
mock_execution_processor.charge_node_usage = AsyncMock(return_value=(10, 990))
# Mock the get_execution_outputs_by_node_exec_id method
mock_db_client.get_execution_outputs_by_node_exec_id.return_value = {
@@ -967,6 +972,11 @@ async def test_orchestrator_agent_mode():
# Verify tool was executed via execution processor
assert mock_execution_processor.on_node_execution.call_count == 1
# Verify charge_node_usage was actually called for the successful
# tool execution — this guards against regressions where the
# post-execution tool charging is accidentally removed.
assert mock_execution_processor.charge_node_usage.call_count == 1
@pytest.mark.asyncio
async def test_orchestrator_traditional_mode_default():

View File

@@ -306,6 +306,9 @@ async def test_output_yielding_with_dynamic_fields():
mock_response.raw_response = {"role": "assistant", "content": "test"}
mock_response.prompt_tokens = 100
mock_response.completion_tokens = 50
mock_response.cache_read_tokens = 0
mock_response.cache_creation_tokens = 0
mock_response.provider_cost = None
# Mock the LLM call
with patch(
@@ -638,6 +641,14 @@ async def test_validation_errors_dont_pollute_conversation():
mock_execution_processor.on_node_execution.return_value = (
mock_node_stats
)
# Mock charge_node_usage (called after successful tool execution).
# Must be AsyncMock because it is async and is awaited in
# _execute_single_tool_with_manager — a plain MagicMock would
# return a non-awaitable tuple and TypeError out, then be
# silently swallowed by the orchestrator's catch-all.
mock_execution_processor.charge_node_usage = AsyncMock(
return_value=(0, 0)
)
async for output_name, output_value in block.run(
input_data,

View File

@@ -211,6 +211,30 @@ class TestConvertRawResponseToDict:
# A single dict is wrong — there are two distinct items
pytest.fail("Expected a list of output items, got a single dict")
def test_responses_api_strips_status_from_function_call(self):
"""Responses API function_call items have a 'status' field that OpenAI
rejects when sent back as input ('Unknown parameter: input[N].status').
It must be stripped before the item is stored in conversation history."""
resp = _MockResponse(
output=[_MockFunctionCall("my_tool", '{"x": 1}', call_id="call_xyz")]
)
result = _convert_raw_response_to_dict(resp)
assert isinstance(result, list)
for item in result:
assert (
"status" not in item
), f"'status' must be stripped from Responses API items: {item}"
def test_responses_api_strips_status_from_message(self):
"""Responses API message items also carry 'status'; it must be stripped."""
resp = _MockResponse(output=[_MockOutputMessage("Hello")])
result = _convert_raw_response_to_dict(resp)
assert isinstance(result, list)
for item in result:
assert (
"status" not in item
), f"'status' must be stripped from Responses API items: {item}"
# ───────────────────────────────────────────────────────────────────────────
# _get_tool_requests (lines 61-86)
@@ -932,6 +956,12 @@ async def test_agent_mode_conversation_valid_for_responses_api():
ep.execution_stats_lock = threading.Lock()
ns = MagicMock(error=None)
ep.on_node_execution = AsyncMock(return_value=ns)
# Mock charge_node_usage (called after successful tool execution).
# Must be AsyncMock because it is async and is awaited in
# _execute_single_tool_with_manager — a plain MagicMock would return a
# non-awaitable tuple and TypeError out, then be silently swallowed by
# the orchestrator's catch-all.
ep.charge_node_usage = AsyncMock(return_value=(0, 0))
with patch("backend.blocks.llm.llm_call", llm_mock), patch.object(
block, "_create_tool_node_signatures", return_value=tool_sigs

View File

@@ -13,6 +13,7 @@ from backend.data.model import (
APIKeyCredentials,
CredentialsField,
CredentialsMetaInput,
NodeExecutionStats,
SchemaField,
)
from backend.integrations.providers import ProviderName
@@ -104,4 +105,10 @@ class UnrealTextToSpeechBlock(Block):
input_data.text,
input_data.voice_id,
)
self.merge_stats(
NodeExecutionStats(
provider_cost=float(len(input_data.text)),
provider_cost_type="characters",
)
)
yield "mp3_url", api_response["OutputUri"]

View File

@@ -0,0 +1,230 @@
"""Extended-thinking wire support for the baseline (OpenRouter) path.
Anthropic routes on OpenRouter expose extended thinking through
non-OpenAI extension fields that the OpenAI Python SDK doesn't model:
* ``reasoning`` (legacy string) — enabled by ``include_reasoning: true``.
* ``reasoning_content`` — DeepSeek / some OpenRouter routes.
* ``reasoning_details`` — structured list shipped with the unified
``reasoning`` request param.
This module keeps the wire-level concerns in one place:
* :class:`OpenRouterDeltaExtension` validates the extension dict pulled off
``ChoiceDelta.model_extra`` into typed pydantic models — no ``getattr`` +
``isinstance`` duck-typing at the call site.
* :class:`BaselineReasoningEmitter` owns the reasoning block lifecycle for
one streaming round and emits ``StreamReasoning*`` events so the caller
only has to plumb the events into its pending queue.
* :func:`reasoning_extra_body` builds the ``extra_body`` fragment for the
OpenAI client call. Returns ``None`` on non-Anthropic routes.
"""
from __future__ import annotations
import logging
import uuid
from typing import Any
from openai.types.chat.chat_completion_chunk import ChoiceDelta
from pydantic import BaseModel, ConfigDict, Field, ValidationError
from backend.copilot.model import ChatMessage
from backend.copilot.response_model import (
StreamBaseResponse,
StreamReasoningDelta,
StreamReasoningEnd,
StreamReasoningStart,
)
logger = logging.getLogger(__name__)
_VISIBLE_REASONING_TYPES = frozenset({"reasoning.text", "reasoning.summary"})
class ReasoningDetail(BaseModel):
"""One entry in OpenRouter's ``reasoning_details`` list.
OpenRouter ships ``type: "reasoning.text"`` / ``"reasoning.summary"`` /
``"reasoning.encrypted"`` entries. Only the first two carry
user-visible text; encrypted entries are opaque and omitted from the
rendered collapse. Unknown future types are tolerated (``extra="ignore"``)
so an upstream addition doesn't crash the stream — but their ``text`` /
``summary`` fields are NOT surfaced because they may carry provider
metadata rather than user-visible reasoning (see
:attr:`visible_text`).
"""
model_config = ConfigDict(extra="ignore")
type: str | None = None
text: str | None = None
summary: str | None = None
@property
def visible_text(self) -> str:
"""Return the human-readable text for this entry, or ``""``.
Only entries with a recognised reasoning type (``reasoning.text`` /
``reasoning.summary``) surface text; unknown or encrypted types
return an empty string even if they carry a ``text`` /
``summary`` field, to guard against future provider metadata
being rendered as reasoning in the UI. Entries missing a
``type`` are treated as text (pre-``reasoning_details`` OpenRouter
payloads omit the field).
"""
if self.type is not None and self.type not in _VISIBLE_REASONING_TYPES:
return ""
return self.text or self.summary or ""
class OpenRouterDeltaExtension(BaseModel):
"""Non-OpenAI fields OpenRouter adds to streaming deltas.
Instantiate via :meth:`from_delta` which pulls the extension dict off
``ChoiceDelta.model_extra`` (where pydantic v2 stashes fields that
aren't part of the declared schema) and validates it through this
model. That keeps the parser honest — malformed entries surface as
validation errors rather than silent ``None``-coalesce bugs — and
avoids the ``getattr`` + ``isinstance`` duck-typing the earlier inline
extractor relied on.
"""
model_config = ConfigDict(extra="ignore")
reasoning: str | None = None
reasoning_content: str | None = None
reasoning_details: list[ReasoningDetail] = Field(default_factory=list)
@classmethod
def from_delta(cls, delta: ChoiceDelta) -> "OpenRouterDeltaExtension":
"""Build an extension view from ``delta.model_extra``.
Malformed provider payloads (e.g. ``reasoning_details`` shipped as
a string rather than a list) surface as a ``ValidationError`` which
is logged and swallowed — returning an empty extension so the rest
of the stream (valid text / tool calls) keeps flowing. An optional
feature's corrupted wire data must never abort the whole stream.
"""
try:
return cls.model_validate(delta.model_extra or {})
except ValidationError as exc:
logger.warning(
"[Baseline] Dropping malformed OpenRouter reasoning payload: %s",
exc,
)
return cls()
def visible_text(self) -> str:
"""Concatenated reasoning text, pulled from whichever channel is set.
Priority: the legacy ``reasoning`` string, then DeepSeek's
``reasoning_content``, then the concatenation of text-bearing
entries in ``reasoning_details``. Only one channel is set per
provider in practice; the priority order just makes the fallback
deterministic if a provider ever emits multiple.
"""
if self.reasoning:
return self.reasoning
if self.reasoning_content:
return self.reasoning_content
return "".join(d.visible_text for d in self.reasoning_details)
def reasoning_extra_body(model: str, max_thinking_tokens: int) -> dict[str, Any] | None:
"""Build the ``extra_body["reasoning"]`` fragment for the OpenAI client.
Returns ``None`` for non-Anthropic routes (other OpenRouter providers
ignore the field but we skip it anyway to keep the payload minimal)
and for ``max_thinking_tokens <= 0`` (operator kill switch).
"""
# Imported lazily to avoid pulling service.py at module load — service.py
# imports this module, and the lazy import keeps the dependency one-way.
from backend.copilot.baseline.service import _is_anthropic_model
if not _is_anthropic_model(model) or max_thinking_tokens <= 0:
return None
return {"reasoning": {"max_tokens": max_thinking_tokens}}
class BaselineReasoningEmitter:
"""Owns the reasoning block lifecycle for one streaming round.
Two concerns live here, both driven by the same state machine:
1. **Wire events.** The AI SDK v6 wire format pairs every
``reasoning-start`` with a matching ``reasoning-end`` and treats
reasoning / text / tool-use as distinct UI parts that must not
interleave.
2. **Session persistence.** ``ChatMessage(role="reasoning")`` rows in
``session.messages`` are what
``convertChatSessionToUiMessages.ts`` folds into the assistant
bubble as ``{type: "reasoning"}`` UI parts on reload and on
``useHydrateOnStreamEnd`` swaps. Without them the live-streamed
reasoning parts get overwritten by the hydrated (reasoning-less)
message list the moment the stream ends. Mirrors the SDK path's
``acc.reasoning_response`` pattern so both routes render the same
way on reload.
Pass ``session_messages`` to enable persistence; omit for pure
wire-emission (tests, scratch callers). On first reasoning delta a
fresh ``ChatMessage(role="reasoning")`` is appended and mutated
in-place as further deltas arrive; :meth:`close` drops the reference
but leaves the appended row intact.
"""
def __init__(
self,
session_messages: list[ChatMessage] | None = None,
) -> None:
self._block_id: str = str(uuid.uuid4())
self._open: bool = False
self._session_messages = session_messages
self._current_row: ChatMessage | None = None
@property
def is_open(self) -> bool:
return self._open
def on_delta(self, delta: ChoiceDelta) -> list[StreamBaseResponse]:
"""Return events for the reasoning text carried by *delta*.
Empty list when the chunk carries no reasoning payload, so this is
safe to call on every chunk without guarding at the call site.
Persistence (when a session message list is attached) happens in
lockstep with emission so the row's content stays equal to the
concatenated deltas at every delta boundary.
"""
ext = OpenRouterDeltaExtension.from_delta(delta)
text = ext.visible_text()
if not text:
return []
events: list[StreamBaseResponse] = []
if not self._open:
events.append(StreamReasoningStart(id=self._block_id))
self._open = True
if self._session_messages is not None:
self._current_row = ChatMessage(role="reasoning", content="")
self._session_messages.append(self._current_row)
events.append(StreamReasoningDelta(id=self._block_id, delta=text))
if self._current_row is not None:
self._current_row.content = (self._current_row.content or "") + text
return events
def close(self) -> list[StreamBaseResponse]:
"""Emit ``StreamReasoningEnd`` for the open block (if any) and rotate.
Idempotent — returns ``[]`` when no block is open. The id rotation
guarantees the next reasoning block starts with a fresh id rather
than reusing one already closed on the wire. The persisted row is
not removed — it stays in ``session_messages`` as the durable
record of what was reasoned.
"""
if not self._open:
return []
event = StreamReasoningEnd(id=self._block_id)
self._open = False
self._block_id = str(uuid.uuid4())
self._current_row = None
return [event]

View File

@@ -0,0 +1,281 @@
"""Tests for the baseline reasoning extension module.
Covers the typed OpenRouter delta parser, the stateful emitter, and the
``extra_body`` builder. The emitter is tested against real
``ChoiceDelta`` pydantic instances so the ``model_extra`` plumbing the
parser relies on is exercised end-to-end.
"""
from openai.types.chat.chat_completion_chunk import ChoiceDelta
from backend.copilot.baseline.reasoning import (
BaselineReasoningEmitter,
OpenRouterDeltaExtension,
ReasoningDetail,
reasoning_extra_body,
)
from backend.copilot.model import ChatMessage
from backend.copilot.response_model import (
StreamReasoningDelta,
StreamReasoningEnd,
StreamReasoningStart,
)
def _delta(**extra) -> ChoiceDelta:
"""Build a ChoiceDelta with the given extension fields on ``model_extra``."""
return ChoiceDelta.model_validate({"role": "assistant", **extra})
class TestReasoningDetail:
def test_visible_text_prefers_text(self):
d = ReasoningDetail(type="reasoning.text", text="hi", summary="ignored")
assert d.visible_text == "hi"
def test_visible_text_falls_back_to_summary(self):
d = ReasoningDetail(type="reasoning.summary", summary="tldr")
assert d.visible_text == "tldr"
def test_visible_text_empty_for_encrypted(self):
d = ReasoningDetail(type="reasoning.encrypted")
assert d.visible_text == ""
def test_unknown_fields_are_ignored(self):
# OpenRouter may add new fields in future payloads — they shouldn't
# cause validation errors.
d = ReasoningDetail.model_validate(
{"type": "reasoning.future", "text": "x", "signature": "opaque"}
)
assert d.text == "x"
def test_visible_text_empty_for_unknown_type(self):
# Unknown types may carry provider metadata that must not render as
# user-visible reasoning — regardless of whether a text/summary is
# present. Only ``reasoning.text`` / ``reasoning.summary`` surface.
d = ReasoningDetail(type="reasoning.future", text="leaked metadata")
assert d.visible_text == ""
def test_visible_text_surfaces_text_when_type_missing(self):
# Pre-``reasoning_details`` OpenRouter payloads omit ``type`` — treat
# them as text so we don't regress the legacy structured shape.
d = ReasoningDetail(text="plain")
assert d.visible_text == "plain"
class TestOpenRouterDeltaExtension:
def test_from_delta_reads_model_extra(self):
delta = _delta(reasoning="step one")
ext = OpenRouterDeltaExtension.from_delta(delta)
assert ext.reasoning == "step one"
def test_visible_text_legacy_string(self):
ext = OpenRouterDeltaExtension(reasoning="plain text")
assert ext.visible_text() == "plain text"
def test_visible_text_deepseek_alias(self):
ext = OpenRouterDeltaExtension(reasoning_content="alt channel")
assert ext.visible_text() == "alt channel"
def test_visible_text_structured_details_concat(self):
ext = OpenRouterDeltaExtension(
reasoning_details=[
ReasoningDetail(type="reasoning.text", text="hello "),
ReasoningDetail(type="reasoning.text", text="world"),
]
)
assert ext.visible_text() == "hello world"
def test_visible_text_skips_encrypted(self):
ext = OpenRouterDeltaExtension(
reasoning_details=[
ReasoningDetail(type="reasoning.encrypted"),
ReasoningDetail(type="reasoning.text", text="visible"),
]
)
assert ext.visible_text() == "visible"
def test_visible_text_empty_when_all_channels_blank(self):
ext = OpenRouterDeltaExtension()
assert ext.visible_text() == ""
def test_empty_delta_produces_empty_extension(self):
ext = OpenRouterDeltaExtension.from_delta(_delta())
assert ext.reasoning is None
assert ext.reasoning_content is None
assert ext.reasoning_details == []
def test_malformed_reasoning_payload_logged_and_swallowed(self, caplog):
# A malformed payload (e.g. reasoning_details shipped as a string
# rather than a list) must not abort the stream — log it and
# return an empty extension so valid text/tool events keep flowing.
# A plain mock is used here because ``from_delta`` only reads
# ``delta.model_extra`` — avoids reaching into pydantic internals
# (``__pydantic_extra__``) that could be renamed across versions.
from unittest.mock import MagicMock
delta = MagicMock(spec=ChoiceDelta)
delta.model_extra = {"reasoning_details": "not a list"}
with caplog.at_level("WARNING"):
ext = OpenRouterDeltaExtension.from_delta(delta)
assert ext.reasoning_details == []
assert ext.visible_text() == ""
assert any("malformed" in r.message.lower() for r in caplog.records)
def test_unknown_typed_entry_with_text_is_not_surfaced(self):
# Regression: the legacy extractor emitted any entry with a
# ``text`` or ``summary`` field. The typed parser now filters on
# the recognised types so future provider metadata can't leak
# into the reasoning collapse.
ext = OpenRouterDeltaExtension(
reasoning_details=[
ReasoningDetail(type="reasoning.future", text="provider metadata"),
ReasoningDetail(type="reasoning.text", text="real"),
]
)
assert ext.visible_text() == "real"
class TestReasoningExtraBody:
def test_anthropic_route_returns_fragment(self):
assert reasoning_extra_body("anthropic/claude-sonnet-4-6", 4096) == {
"reasoning": {"max_tokens": 4096}
}
def test_direct_claude_model_id_still_matches(self):
assert reasoning_extra_body("claude-3-5-sonnet-20241022", 2048) == {
"reasoning": {"max_tokens": 2048}
}
def test_non_anthropic_route_returns_none(self):
assert reasoning_extra_body("openai/gpt-4o", 4096) is None
assert reasoning_extra_body("google/gemini-2.5-pro", 4096) is None
def test_zero_max_tokens_kill_switch(self):
# Operator kill switch: ``max_thinking_tokens <= 0`` disables the
# ``reasoning`` extra_body fragment even on an Anthropic route.
# Lets us silence reasoning without dropping the SDK path's budget.
assert reasoning_extra_body("anthropic/claude-sonnet-4-6", 0) is None
assert reasoning_extra_body("anthropic/claude-sonnet-4-6", -1) is None
class TestBaselineReasoningEmitter:
def test_first_text_delta_emits_start_then_delta(self):
emitter = BaselineReasoningEmitter()
events = emitter.on_delta(_delta(reasoning="thinking"))
assert len(events) == 2
assert isinstance(events[0], StreamReasoningStart)
assert isinstance(events[1], StreamReasoningDelta)
assert events[0].id == events[1].id
assert events[1].delta == "thinking"
assert emitter.is_open is True
def test_subsequent_deltas_reuse_block_id_without_new_start(self):
emitter = BaselineReasoningEmitter()
first = emitter.on_delta(_delta(reasoning="a"))
second = emitter.on_delta(_delta(reasoning="b"))
assert any(isinstance(e, StreamReasoningStart) for e in first)
assert all(not isinstance(e, StreamReasoningStart) for e in second)
assert len(second) == 1
assert isinstance(second[0], StreamReasoningDelta)
assert first[0].id == second[0].id
def test_empty_delta_emits_nothing(self):
emitter = BaselineReasoningEmitter()
assert emitter.on_delta(_delta(content="hello")) == []
assert emitter.is_open is False
def test_close_emits_end_and_rotates_id(self):
emitter = BaselineReasoningEmitter()
# Capture the block id from the wire event rather than reaching
# into emitter internals — the id on the emitted Start/Delta is
# what the frontend actually receives.
start_events = emitter.on_delta(_delta(reasoning="x"))
first_id = start_events[0].id
events = emitter.close()
assert len(events) == 1
assert isinstance(events[0], StreamReasoningEnd)
assert events[0].id == first_id
assert emitter.is_open is False
# Next reasoning uses a fresh id.
new_events = emitter.on_delta(_delta(reasoning="y"))
assert isinstance(new_events[0], StreamReasoningStart)
assert new_events[0].id != first_id
def test_close_is_idempotent(self):
emitter = BaselineReasoningEmitter()
assert emitter.close() == []
emitter.on_delta(_delta(reasoning="x"))
assert len(emitter.close()) == 1
assert emitter.close() == []
def test_structured_details_round_trip(self):
emitter = BaselineReasoningEmitter()
events = emitter.on_delta(
_delta(
reasoning_details=[
{"type": "reasoning.text", "text": "plan: "},
{"type": "reasoning.summary", "summary": "do the thing"},
]
)
)
deltas = [e for e in events if isinstance(e, StreamReasoningDelta)]
assert len(deltas) == 1
assert deltas[0].delta == "plan: do the thing"
class TestReasoningPersistence:
"""The persistence contract: without ``role="reasoning"`` rows in
session.messages, useHydrateOnStreamEnd overwrites the live-streamed
reasoning parts and the Reasoning collapse vanishes. Every delta
must be reflected in the persisted row the moment it's emitted."""
def test_session_row_appended_on_first_delta(self):
session: list[ChatMessage] = []
emitter = BaselineReasoningEmitter(session)
assert session == []
emitter.on_delta(_delta(reasoning="hi"))
assert len(session) == 1
assert session[0].role == "reasoning"
assert session[0].content == "hi"
def test_subsequent_deltas_mutate_same_row(self):
session: list[ChatMessage] = []
emitter = BaselineReasoningEmitter(session)
emitter.on_delta(_delta(reasoning="part one "))
emitter.on_delta(_delta(reasoning="part two"))
assert len(session) == 1
assert session[0].content == "part one part two"
def test_close_keeps_row_in_session(self):
session: list[ChatMessage] = []
emitter = BaselineReasoningEmitter(session)
emitter.on_delta(_delta(reasoning="thought"))
emitter.close()
assert len(session) == 1
assert session[0].content == "thought"
def test_second_reasoning_block_appends_new_row(self):
session: list[ChatMessage] = []
emitter = BaselineReasoningEmitter(session)
emitter.on_delta(_delta(reasoning="first"))
emitter.close()
emitter.on_delta(_delta(reasoning="second"))
assert len(session) == 2
assert [m.content for m in session] == ["first", "second"]
def test_no_session_means_no_persistence(self):
"""Emitter without attached session list emits wire events only."""
emitter = BaselineReasoningEmitter()
events = emitter.on_delta(_delta(reasoning="pure wire"))
assert len(events) == 2 # start + delta, no crash
# Nothing else to assert — just proves None session is supported.

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"""Integration tests for baseline transcript flow.
Exercises the real helpers in ``baseline/service.py`` that restore,
validate, load, append to, backfill, and upload the CLI session.
Storage is mocked via ``download_transcript`` / ``upload_transcript``
patches; no network access is required.
"""
import json as stdlib_json
from unittest.mock import AsyncMock, patch
import pytest
from backend.copilot.baseline.service import (
_append_gap_to_builder,
_load_prior_transcript,
_record_turn_to_transcript,
_resolve_baseline_model,
_upload_final_transcript,
should_upload_transcript,
)
from backend.copilot.model import ChatMessage
from backend.copilot.service import config
from backend.copilot.transcript import (
STOP_REASON_END_TURN,
STOP_REASON_TOOL_USE,
TranscriptDownload,
)
from backend.copilot.transcript_builder import TranscriptBuilder
from backend.util.tool_call_loop import LLMLoopResponse, LLMToolCall, ToolCallResult
def _make_transcript_content(*roles: str) -> str:
"""Build a minimal valid JSONL transcript from role names."""
lines = []
parent = ""
for i, role in enumerate(roles):
uid = f"uuid-{i}"
entry: dict = {
"type": role,
"uuid": uid,
"parentUuid": parent,
"message": {
"role": role,
"content": [{"type": "text", "text": f"{role} message {i}"}],
},
}
if role == "assistant":
entry["message"]["id"] = f"msg_{i}"
entry["message"]["model"] = "test-model"
entry["message"]["type"] = "message"
entry["message"]["stop_reason"] = STOP_REASON_END_TURN
lines.append(stdlib_json.dumps(entry))
parent = uid
return "\n".join(lines) + "\n"
def _make_session_messages(*roles: str) -> list[ChatMessage]:
"""Build a list of ChatMessage objects matching the given roles."""
return [
ChatMessage(role=r, content=f"{r} message {i}") for i, r in enumerate(roles)
]
class TestResolveBaselineModel:
"""Baseline model resolution honours the per-request tier toggle."""
def test_advanced_tier_selects_advanced_model(self):
assert _resolve_baseline_model("advanced") == config.advanced_model
def test_standard_tier_selects_default_model(self):
assert _resolve_baseline_model("standard") == config.model
def test_none_tier_selects_default_model(self):
"""Baseline users without a tier MUST keep the default (standard)."""
assert _resolve_baseline_model(None) == config.model
def test_standard_and_advanced_models_differ(self):
"""Advanced tier defaults to a different (Opus) model than standard."""
assert config.model != config.advanced_model
class TestLoadPriorTranscript:
"""``_load_prior_transcript`` wraps the CLI session restore + validate + load flow."""
@pytest.mark.asyncio
async def test_loads_fresh_transcript(self):
builder = TranscriptBuilder()
content = _make_transcript_content("user", "assistant")
restore = TranscriptDownload(
content=content.encode("utf-8"), message_count=2, mode="sdk"
)
with patch(
"backend.copilot.baseline.service.download_transcript",
new=AsyncMock(return_value=restore),
):
covers, dl = await _load_prior_transcript(
user_id="user-1",
session_id="session-1",
session_messages=_make_session_messages("user", "assistant", "user"),
transcript_builder=builder,
)
assert covers is True
assert dl is not None
assert dl.message_count == 2
assert builder.entry_count == 2
assert builder.last_entry_type == "assistant"
@pytest.mark.asyncio
async def test_fills_gap_when_transcript_is_behind(self):
"""When transcript covers fewer messages than session, gap is filled from DB."""
builder = TranscriptBuilder()
content = _make_transcript_content("user", "assistant")
# transcript covers 2 messages, session has 4 (plus current user turn = 5)
restore = TranscriptDownload(
content=content.encode("utf-8"), message_count=2, mode="baseline"
)
with patch(
"backend.copilot.baseline.service.download_transcript",
new=AsyncMock(return_value=restore),
):
covers, dl = await _load_prior_transcript(
user_id="user-1",
session_id="session-1",
session_messages=_make_session_messages(
"user", "assistant", "user", "assistant", "user"
),
transcript_builder=builder,
)
assert covers is True
assert dl is not None
# 2 from transcript + 2 gap messages (user+assistant at positions 2,3)
assert builder.entry_count == 4
@pytest.mark.asyncio
async def test_missing_transcript_allows_upload(self):
"""Nothing in GCS → upload is safe; the turn writes the first snapshot."""
builder = TranscriptBuilder()
with patch(
"backend.copilot.baseline.service.download_transcript",
new=AsyncMock(return_value=None),
):
upload_safe, dl = await _load_prior_transcript(
user_id="user-1",
session_id="session-1",
session_messages=_make_session_messages("user", "assistant"),
transcript_builder=builder,
)
assert upload_safe is True
assert dl is None
assert builder.is_empty
@pytest.mark.asyncio
async def test_invalid_transcript_allows_upload(self):
"""Corrupt file in GCS → overwriting with a valid one is better."""
builder = TranscriptBuilder()
restore = TranscriptDownload(
content=b'{"type":"progress","uuid":"a"}\n',
message_count=1,
mode="sdk",
)
with patch(
"backend.copilot.baseline.service.download_transcript",
new=AsyncMock(return_value=restore),
):
upload_safe, dl = await _load_prior_transcript(
user_id="user-1",
session_id="session-1",
session_messages=_make_session_messages("user", "assistant"),
transcript_builder=builder,
)
assert upload_safe is True
assert dl is None
assert builder.is_empty
@pytest.mark.asyncio
async def test_download_exception_returns_false(self):
builder = TranscriptBuilder()
with patch(
"backend.copilot.baseline.service.download_transcript",
new=AsyncMock(side_effect=RuntimeError("boom")),
):
covers, dl = await _load_prior_transcript(
user_id="user-1",
session_id="session-1",
session_messages=_make_session_messages("user", "assistant"),
transcript_builder=builder,
)
assert covers is False
assert dl is None
assert builder.is_empty
@pytest.mark.asyncio
async def test_zero_message_count_not_stale(self):
"""When msg_count is 0 (unknown), gap detection is skipped."""
builder = TranscriptBuilder()
restore = TranscriptDownload(
content=_make_transcript_content("user", "assistant").encode("utf-8"),
message_count=0,
mode="sdk",
)
with patch(
"backend.copilot.baseline.service.download_transcript",
new=AsyncMock(return_value=restore),
):
covers, dl = await _load_prior_transcript(
user_id="user-1",
session_id="session-1",
session_messages=_make_session_messages(*["user"] * 20),
transcript_builder=builder,
)
assert covers is True
assert dl is not None
assert builder.entry_count == 2
class TestUploadFinalTranscript:
"""``_upload_final_transcript`` serialises and calls storage."""
@pytest.mark.asyncio
async def test_uploads_valid_transcript(self):
builder = TranscriptBuilder()
builder.append_user(content="hi")
builder.append_assistant(
content_blocks=[{"type": "text", "text": "hello"}],
model="test-model",
stop_reason=STOP_REASON_END_TURN,
)
upload_mock = AsyncMock(return_value=None)
with patch(
"backend.copilot.baseline.service.upload_transcript",
new=upload_mock,
):
await _upload_final_transcript(
user_id="user-1",
session_id="session-1",
transcript_builder=builder,
session_msg_count=2,
)
upload_mock.assert_awaited_once()
assert upload_mock.await_args is not None
call_kwargs = upload_mock.await_args.kwargs
assert call_kwargs["user_id"] == "user-1"
assert call_kwargs["session_id"] == "session-1"
assert call_kwargs["message_count"] == 2
assert b"hello" in call_kwargs["content"]
@pytest.mark.asyncio
async def test_skips_upload_when_builder_empty(self):
builder = TranscriptBuilder()
upload_mock = AsyncMock(return_value=None)
with patch(
"backend.copilot.baseline.service.upload_transcript",
new=upload_mock,
):
await _upload_final_transcript(
user_id="user-1",
session_id="session-1",
transcript_builder=builder,
session_msg_count=0,
)
upload_mock.assert_not_awaited()
@pytest.mark.asyncio
async def test_swallows_upload_exceptions(self):
"""Upload failures should not propagate (flow continues for the user)."""
builder = TranscriptBuilder()
builder.append_user(content="hi")
builder.append_assistant(
content_blocks=[{"type": "text", "text": "hello"}],
model="test-model",
stop_reason=STOP_REASON_END_TURN,
)
with patch(
"backend.copilot.baseline.service.upload_transcript",
new=AsyncMock(side_effect=RuntimeError("storage unavailable")),
):
# Should not raise.
await _upload_final_transcript(
user_id="user-1",
session_id="session-1",
transcript_builder=builder,
session_msg_count=2,
)
class TestRecordTurnToTranscript:
"""``_record_turn_to_transcript`` translates LLMLoopResponse → transcript."""
def test_records_final_assistant_text(self):
builder = TranscriptBuilder()
builder.append_user(content="hi")
response = LLMLoopResponse(
response_text="hello there",
tool_calls=[],
raw_response=None,
)
_record_turn_to_transcript(
response,
tool_results=None,
transcript_builder=builder,
model="test-model",
)
assert builder.entry_count == 2
assert builder.last_entry_type == "assistant"
jsonl = builder.to_jsonl()
assert "hello there" in jsonl
assert STOP_REASON_END_TURN in jsonl
def test_records_tool_use_then_tool_result(self):
"""Anthropic ordering: assistant(tool_use) → user(tool_result)."""
builder = TranscriptBuilder()
builder.append_user(content="use a tool")
response = LLMLoopResponse(
response_text=None,
tool_calls=[
LLMToolCall(id="call-1", name="echo", arguments='{"text":"hi"}')
],
raw_response=None,
)
tool_results = [
ToolCallResult(tool_call_id="call-1", tool_name="echo", content="hi")
]
_record_turn_to_transcript(
response,
tool_results,
transcript_builder=builder,
model="test-model",
)
# user, assistant(tool_use), user(tool_result) = 3 entries
assert builder.entry_count == 3
jsonl = builder.to_jsonl()
assert STOP_REASON_TOOL_USE in jsonl
assert "tool_use" in jsonl
assert "tool_result" in jsonl
assert "call-1" in jsonl
def test_records_nothing_on_empty_response(self):
builder = TranscriptBuilder()
builder.append_user(content="hi")
response = LLMLoopResponse(
response_text=None,
tool_calls=[],
raw_response=None,
)
_record_turn_to_transcript(
response,
tool_results=None,
transcript_builder=builder,
model="test-model",
)
assert builder.entry_count == 1
def test_malformed_tool_args_dont_crash(self):
"""Bad JSON in tool arguments falls back to {} without raising."""
builder = TranscriptBuilder()
builder.append_user(content="hi")
response = LLMLoopResponse(
response_text=None,
tool_calls=[LLMToolCall(id="call-1", name="echo", arguments="{not-json")],
raw_response=None,
)
tool_results = [
ToolCallResult(tool_call_id="call-1", tool_name="echo", content="ok")
]
_record_turn_to_transcript(
response,
tool_results,
transcript_builder=builder,
model="test-model",
)
assert builder.entry_count == 3
jsonl = builder.to_jsonl()
assert '"input":{}' in jsonl
class TestRoundTrip:
"""End-to-end: load prior → append new turn → upload."""
@pytest.mark.asyncio
async def test_full_round_trip(self):
prior = _make_transcript_content("user", "assistant")
restore = TranscriptDownload(
content=prior.encode("utf-8"), message_count=2, mode="sdk"
)
builder = TranscriptBuilder()
with patch(
"backend.copilot.baseline.service.download_transcript",
new=AsyncMock(return_value=restore),
):
covers, _ = await _load_prior_transcript(
user_id="user-1",
session_id="session-1",
session_messages=_make_session_messages("user", "assistant", "user"),
transcript_builder=builder,
)
assert covers is True
assert builder.entry_count == 2
# New user turn.
builder.append_user(content="new question")
assert builder.entry_count == 3
# New assistant turn.
response = LLMLoopResponse(
response_text="new answer",
tool_calls=[],
raw_response=None,
)
_record_turn_to_transcript(
response,
tool_results=None,
transcript_builder=builder,
model="test-model",
)
assert builder.entry_count == 4
# Upload.
upload_mock = AsyncMock(return_value=None)
with patch(
"backend.copilot.baseline.service.upload_transcript",
new=upload_mock,
):
await _upload_final_transcript(
user_id="user-1",
session_id="session-1",
transcript_builder=builder,
session_msg_count=4,
)
upload_mock.assert_awaited_once()
assert upload_mock.await_args is not None
uploaded = upload_mock.await_args.kwargs["content"]
assert b"new question" in uploaded
assert b"new answer" in uploaded
# Original content preserved in the round trip.
assert b"user message 0" in uploaded
assert b"assistant message 1" in uploaded
@pytest.mark.asyncio
async def test_backfill_append_guard(self):
"""Backfill only runs when the last entry is not already assistant."""
builder = TranscriptBuilder()
builder.append_user(content="hi")
# Simulate the backfill guard from stream_chat_completion_baseline.
assistant_text = "partial text before error"
if builder.last_entry_type != "assistant":
builder.append_assistant(
content_blocks=[{"type": "text", "text": assistant_text}],
model="test-model",
stop_reason=STOP_REASON_END_TURN,
)
assert builder.last_entry_type == "assistant"
assert "partial text before error" in builder.to_jsonl()
# Second invocation: the guard must prevent double-append.
initial_count = builder.entry_count
if builder.last_entry_type != "assistant":
builder.append_assistant(
content_blocks=[{"type": "text", "text": "duplicate"}],
model="test-model",
stop_reason=STOP_REASON_END_TURN,
)
assert builder.entry_count == initial_count
class TestShouldUploadTranscript:
"""``should_upload_transcript`` gates the final upload."""
def test_upload_allowed_for_user_with_coverage(self):
assert should_upload_transcript("user-1", True) is True
def test_upload_skipped_when_no_user(self):
assert should_upload_transcript(None, True) is False
def test_upload_skipped_when_empty_user(self):
assert should_upload_transcript("", True) is False
def test_upload_skipped_without_coverage(self):
"""Partial transcript must never clobber a more complete stored one."""
assert should_upload_transcript("user-1", False) is False
def test_upload_skipped_when_no_user_and_no_coverage(self):
assert should_upload_transcript(None, False) is False
class TestTranscriptLifecycle:
"""End-to-end: restore → validate → build → upload.
Simulates the full transcript lifecycle inside
``stream_chat_completion_baseline`` by mocking the storage layer and
driving each step through the real helpers.
"""
@pytest.mark.asyncio
async def test_full_lifecycle_happy_path(self):
"""Fresh restore, append a turn, upload covers the session."""
builder = TranscriptBuilder()
prior = _make_transcript_content("user", "assistant")
restore = TranscriptDownload(
content=prior.encode("utf-8"), message_count=2, mode="sdk"
)
upload_mock = AsyncMock(return_value=None)
with (
patch(
"backend.copilot.baseline.service.download_transcript",
new=AsyncMock(return_value=restore),
),
patch(
"backend.copilot.baseline.service.upload_transcript",
new=upload_mock,
),
):
# --- 1. Restore & load prior session ---
covers, _ = await _load_prior_transcript(
user_id="user-1",
session_id="session-1",
session_messages=_make_session_messages("user", "assistant", "user"),
transcript_builder=builder,
)
assert covers is True
# --- 2. Append a new user turn + a new assistant response ---
builder.append_user(content="follow-up question")
_record_turn_to_transcript(
LLMLoopResponse(
response_text="follow-up answer",
tool_calls=[],
raw_response=None,
),
tool_results=None,
transcript_builder=builder,
model="test-model",
)
# --- 3. Gate + upload ---
assert (
should_upload_transcript(user_id="user-1", upload_safe=covers) is True
)
await _upload_final_transcript(
user_id="user-1",
session_id="session-1",
transcript_builder=builder,
session_msg_count=4,
)
upload_mock.assert_awaited_once()
assert upload_mock.await_args is not None
uploaded = upload_mock.await_args.kwargs["content"]
assert b"follow-up question" in uploaded
assert b"follow-up answer" in uploaded
# Original prior-turn content preserved.
assert b"user message 0" in uploaded
assert b"assistant message 1" in uploaded
@pytest.mark.asyncio
async def test_lifecycle_stale_download_fills_gap(self):
"""When transcript covers fewer messages, gap is filled rather than rejected."""
builder = TranscriptBuilder()
# session has 5 msgs but stored transcript only covers 2 → gap filled.
stale = TranscriptDownload(
content=_make_transcript_content("user", "assistant").encode("utf-8"),
message_count=2,
mode="baseline",
)
upload_mock = AsyncMock(return_value=None)
with (
patch(
"backend.copilot.baseline.service.download_transcript",
new=AsyncMock(return_value=stale),
),
patch(
"backend.copilot.baseline.service.upload_transcript",
new=upload_mock,
),
):
covers, _ = await _load_prior_transcript(
user_id="user-1",
session_id="session-1",
session_messages=_make_session_messages(
"user", "assistant", "user", "assistant", "user"
),
transcript_builder=builder,
)
assert covers is True
# Gap was filled: 2 from transcript + 2 gap messages
assert builder.entry_count == 4
@pytest.mark.asyncio
async def test_lifecycle_anonymous_user_skips_upload(self):
"""Anonymous (user_id=None) → upload gate must return False."""
builder = TranscriptBuilder()
builder.append_user(content="hi")
builder.append_assistant(
content_blocks=[{"type": "text", "text": "hello"}],
model="test-model",
stop_reason=STOP_REASON_END_TURN,
)
assert should_upload_transcript(user_id=None, upload_safe=True) is False
@pytest.mark.asyncio
async def test_lifecycle_missing_download_still_uploads_new_content(self):
"""No prior session → upload is safe; the turn writes the first snapshot."""
builder = TranscriptBuilder()
upload_mock = AsyncMock(return_value=None)
with (
patch(
"backend.copilot.baseline.service.download_transcript",
new=AsyncMock(return_value=None),
),
patch(
"backend.copilot.baseline.service.upload_transcript",
new=upload_mock,
),
):
upload_safe, dl = await _load_prior_transcript(
user_id="user-1",
session_id="session-1",
session_messages=_make_session_messages("user"),
transcript_builder=builder,
)
# Nothing in GCS → upload is safe so the first baseline turn
# can write the initial transcript snapshot.
assert upload_safe is True
assert dl is None
assert (
should_upload_transcript(user_id="user-1", upload_safe=upload_safe)
is True
)
# ---------------------------------------------------------------------------
# _append_gap_to_builder
# ---------------------------------------------------------------------------
class TestAppendGapToBuilder:
"""``_append_gap_to_builder`` converts ChatMessage objects to TranscriptBuilder entries."""
def test_user_message_appended(self):
builder = TranscriptBuilder()
msgs = [ChatMessage(role="user", content="hello")]
_append_gap_to_builder(msgs, builder)
assert builder.entry_count == 1
assert builder.last_entry_type == "user"
def test_assistant_text_message_appended(self):
builder = TranscriptBuilder()
msgs = [
ChatMessage(role="user", content="q"),
ChatMessage(role="assistant", content="answer"),
]
_append_gap_to_builder(msgs, builder)
assert builder.entry_count == 2
assert builder.last_entry_type == "assistant"
assert "answer" in builder.to_jsonl()
def test_assistant_with_tool_calls_appended(self):
"""Assistant tool_calls are recorded as tool_use blocks in the transcript."""
builder = TranscriptBuilder()
tool_call = {
"id": "tc-1",
"type": "function",
"function": {"name": "my_tool", "arguments": '{"key":"val"}'},
}
msgs = [ChatMessage(role="assistant", content=None, tool_calls=[tool_call])]
_append_gap_to_builder(msgs, builder)
assert builder.entry_count == 1
jsonl = builder.to_jsonl()
assert "tool_use" in jsonl
assert "my_tool" in jsonl
assert "tc-1" in jsonl
def test_assistant_invalid_json_args_uses_empty_dict(self):
"""Malformed JSON in tool_call arguments falls back to {}."""
builder = TranscriptBuilder()
tool_call = {
"id": "tc-bad",
"type": "function",
"function": {"name": "bad_tool", "arguments": "not-json"},
}
msgs = [ChatMessage(role="assistant", content=None, tool_calls=[tool_call])]
_append_gap_to_builder(msgs, builder)
assert builder.entry_count == 1
jsonl = builder.to_jsonl()
assert '"input":{}' in jsonl
def test_assistant_empty_content_and_no_tools_uses_fallback(self):
"""Assistant with no content and no tool_calls gets a fallback empty text block."""
builder = TranscriptBuilder()
msgs = [ChatMessage(role="assistant", content=None)]
_append_gap_to_builder(msgs, builder)
assert builder.entry_count == 1
jsonl = builder.to_jsonl()
assert "text" in jsonl
def test_tool_role_with_tool_call_id_appended(self):
"""Tool result messages are appended when tool_call_id is set."""
builder = TranscriptBuilder()
# Need a preceding assistant tool_use entry
builder.append_user("use tool")
builder.append_assistant(
content_blocks=[
{"type": "tool_use", "id": "tc-1", "name": "my_tool", "input": {}}
]
)
msgs = [ChatMessage(role="tool", tool_call_id="tc-1", content="result")]
_append_gap_to_builder(msgs, builder)
assert builder.entry_count == 3
assert "tool_result" in builder.to_jsonl()
def test_tool_role_without_tool_call_id_skipped(self):
"""Tool messages without tool_call_id are silently skipped."""
builder = TranscriptBuilder()
msgs = [ChatMessage(role="tool", tool_call_id=None, content="orphan")]
_append_gap_to_builder(msgs, builder)
assert builder.entry_count == 0
def test_tool_call_missing_function_key_uses_unknown_name(self):
"""A tool_call dict with no 'function' key uses 'unknown' as the tool name."""
builder = TranscriptBuilder()
# Tool call dict exists but 'function' sub-dict is missing entirely
msgs = [
ChatMessage(role="assistant", content=None, tool_calls=[{"id": "tc-x"}])
]
_append_gap_to_builder(msgs, builder)
assert builder.entry_count == 1
jsonl = builder.to_jsonl()
assert "unknown" in jsonl

View File

@@ -0,0 +1,217 @@
"""Builder-session context helpers — split cacheable system prompt from
the volatile per-turn snapshot so Claude's prompt cache stays warm."""
from __future__ import annotations
import logging
from typing import Any
from backend.copilot.model import ChatSession
from backend.copilot.permissions import CopilotPermissions
from backend.copilot.tools.agent_generator import get_agent_as_json
from backend.copilot.tools.get_agent_building_guide import _load_guide
logger = logging.getLogger(__name__)
BUILDER_CONTEXT_TAG = "builder_context"
BUILDER_SESSION_TAG = "builder_session"
# Tools hidden from builder-bound sessions: ``create_agent`` /
# ``customize_agent`` would mint a new graph (panel is bound to one),
# and ``get_agent_building_guide`` duplicates bytes already in the
# system-prompt suffix. Everything else (find_block, find_agent, …)
# stays available so the LLM can look up ids instead of hallucinating.
BUILDER_BLOCKED_TOOLS: tuple[str, ...] = (
"create_agent",
"customize_agent",
"get_agent_building_guide",
)
def resolve_session_permissions(
session: ChatSession | None,
) -> CopilotPermissions | None:
"""Blacklist :data:`BUILDER_BLOCKED_TOOLS` for builder-bound sessions,
return ``None`` (unrestricted) otherwise."""
if session is None or not session.metadata.builder_graph_id:
return None
return CopilotPermissions(
tools=list(BUILDER_BLOCKED_TOOLS),
tools_exclude=True,
)
# Caps — mirror the frontend ``serializeGraphForChat`` defaults so the
# server-side block stays within a practical token budget for large graphs.
_MAX_NODES = 100
_MAX_LINKS = 200
_FETCH_FAILED_PREFIX = (
f"<{BUILDER_CONTEXT_TAG}>\n"
f"<status>fetch_failed</status>\n"
f"</{BUILDER_CONTEXT_TAG}>\n\n"
)
# Embedded in the cacheable suffix so the LLM picks the right run_agent
# dispatch mode without forcing the user to watch a long-blocking call.
_BUILDER_RUN_AGENT_GUIDANCE = (
"You are operating inside the builder panel, not the standalone "
"copilot page. The builder page already subscribes to agent "
"executions the moment you return an execution_id, so for REAL "
"(non-dry) runs prefer `run_agent(dry_run=False, wait_for_result=0)` "
"— the user will see the run stream in the builder's execution panel "
"in-place and your turn ends immediately with the id. For DRY-RUNS "
"keep `dry_run=True, wait_for_result=120`: blocking is required so "
"you can inspect `execution.node_executions` and report the verdict "
"in the same turn."
)
def _sanitize_for_xml(value: Any) -> str:
"""Escape XML special chars — mirrors ``sanitizeForXml`` in
``BuilderChatPanel/helpers.ts``."""
s = "" if value is None else str(value)
return (
s.replace("&", "&amp;")
.replace("<", "&lt;")
.replace(">", "&gt;")
.replace('"', "&quot;")
.replace("'", "&apos;")
)
def _node_display_name(node: dict[str, Any]) -> str:
"""Prefer the user-set label (``input_default.name`` / ``metadata.title``);
fall back to the block id."""
defaults = node.get("input_default") or {}
metadata = node.get("metadata") or {}
for key in ("name", "title", "label"):
value = defaults.get(key) or metadata.get(key)
if isinstance(value, str) and value.strip():
return value.strip()
block_id = node.get("block_id") or ""
return block_id or "unknown"
def _format_nodes(nodes: list[dict[str, Any]]) -> str:
if not nodes:
return "<nodes>\n</nodes>"
visible = nodes[:_MAX_NODES]
lines = []
for node in visible:
node_id = _sanitize_for_xml(node.get("id") or "")
name = _sanitize_for_xml(_node_display_name(node))
block_id = _sanitize_for_xml(node.get("block_id") or "")
lines.append(f"- {node_id}: {name} ({block_id})")
extra = len(nodes) - len(visible)
if extra > 0:
lines.append(f"({extra} more not shown)")
body = "\n".join(lines)
return f"<nodes>\n{body}\n</nodes>"
def _format_links(
links: list[dict[str, Any]],
nodes: list[dict[str, Any]],
) -> str:
if not links:
return "<links>\n</links>"
name_by_id = {n.get("id"): _node_display_name(n) for n in nodes}
visible = links[:_MAX_LINKS]
lines = []
for link in visible:
src_id = link.get("source_id") or ""
dst_id = link.get("sink_id") or ""
src_name = name_by_id.get(src_id, src_id)
dst_name = name_by_id.get(dst_id, dst_id)
src_out = link.get("source_name") or ""
dst_in = link.get("sink_name") or ""
lines.append(
f"- {_sanitize_for_xml(src_name)}.{_sanitize_for_xml(src_out)} "
f"-> {_sanitize_for_xml(dst_name)}.{_sanitize_for_xml(dst_in)}"
)
extra = len(links) - len(visible)
if extra > 0:
lines.append(f"({extra} more not shown)")
body = "\n".join(lines)
return f"<links>\n{body}\n</links>"
async def build_builder_system_prompt_suffix(session: ChatSession) -> str:
"""Return the cacheable system-prompt suffix for a builder session.
Holds only static content (dispatch guidance + building guide) so the
bytes are identical across turns AND across sessions for different
graphs — the live id/name/version ride on the per-turn prefix.
"""
if not session.metadata.builder_graph_id:
return ""
try:
guide = _load_guide()
except Exception:
logger.exception("[builder_context] Failed to load agent-building guide")
return ""
# The guide is trusted server-side content (read from disk). We do NOT
# escape it — the LLM needs the raw markdown to make sense of block ids,
# code fences, and example JSON.
return (
f"\n\n<{BUILDER_SESSION_TAG}>\n"
f"<run_agent_dispatch_mode>\n"
f"{_BUILDER_RUN_AGENT_GUIDANCE}\n"
f"</run_agent_dispatch_mode>\n"
f"<building_guide>\n{guide}\n</building_guide>\n"
f"</{BUILDER_SESSION_TAG}>"
)
async def build_builder_context_turn_prefix(
session: ChatSession,
user_id: str | None,
) -> str:
"""Return the per-turn ``<builder_context>`` prefix with the live
graph snapshot (id/name/version/nodes/links). ``""`` for non-builder
sessions; fetch-failure marker if the graph cannot be read."""
graph_id = session.metadata.builder_graph_id
if not graph_id:
return ""
try:
agent_json = await get_agent_as_json(graph_id, user_id)
except Exception:
logger.exception(
"[builder_context] Failed to fetch graph %s for session %s",
graph_id,
session.session_id,
)
return _FETCH_FAILED_PREFIX
if not agent_json:
logger.warning(
"[builder_context] Graph %s not found for session %s",
graph_id,
session.session_id,
)
return _FETCH_FAILED_PREFIX
version = _sanitize_for_xml(agent_json.get("version") or "")
raw_name = agent_json.get("name")
graph_name = (
raw_name.strip() if isinstance(raw_name, str) and raw_name.strip() else None
)
nodes = agent_json.get("nodes") or []
links = agent_json.get("links") or []
name_attr = f' name="{_sanitize_for_xml(graph_name)}"' if graph_name else ""
graph_tag = (
f'<graph id="{_sanitize_for_xml(graph_id)}"'
f"{name_attr} "
f'version="{version}" '
f'node_count="{len(nodes)}" '
f'edge_count="{len(links)}"/>'
)
inner = f"{graph_tag}\n{_format_nodes(nodes)}\n{_format_links(links, nodes)}"
return f"<{BUILDER_CONTEXT_TAG}>\n{inner}\n</{BUILDER_CONTEXT_TAG}>\n\n"

View File

@@ -0,0 +1,329 @@
"""Tests for the split builder-context helpers.
Covers both halves of the public API:
- :func:`build_builder_system_prompt_suffix` — session-stable block
appended to the system prompt (contains the guide + graph id/name).
- :func:`build_builder_context_turn_prefix` — per-turn user-message
prefix (contains the live version + node/link snapshot).
"""
from __future__ import annotations
from unittest.mock import AsyncMock, patch
import pytest
from backend.copilot.builder_context import (
BUILDER_CONTEXT_TAG,
BUILDER_SESSION_TAG,
build_builder_context_turn_prefix,
build_builder_system_prompt_suffix,
)
from backend.copilot.model import ChatSession
def _session(
builder_graph_id: str | None,
*,
user_id: str = "test-user",
) -> ChatSession:
"""Minimal ``ChatSession`` with *builder_graph_id* on metadata."""
return ChatSession.new(
user_id,
dry_run=False,
builder_graph_id=builder_graph_id,
)
def _agent_json(
nodes: list[dict] | None = None,
links: list[dict] | None = None,
**overrides,
) -> dict:
base: dict = {
"id": "graph-1",
"name": "My Agent",
"description": "A test agent",
"version": 3,
"is_active": True,
"nodes": nodes if nodes is not None else [],
"links": links if links is not None else [],
}
base.update(overrides)
return base
# ---------------------------------------------------------------------------
# build_builder_system_prompt_suffix
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_system_prompt_suffix_empty_for_non_builder():
session = _session(None)
result = await build_builder_system_prompt_suffix(session)
assert result == ""
@pytest.mark.asyncio
async def test_system_prompt_suffix_contains_only_static_content():
session = _session("graph-1")
with patch(
"backend.copilot.builder_context._load_guide",
return_value="# Guide body",
):
suffix = await build_builder_system_prompt_suffix(session)
assert suffix.startswith("\n\n")
assert f"<{BUILDER_SESSION_TAG}>" in suffix
assert f"</{BUILDER_SESSION_TAG}>" in suffix
assert "<building_guide>" in suffix
assert "# Guide body" in suffix
# Dispatch-mode guidance must appear so the LLM knows to prefer
# wait_for_result=0 for real runs (builder UI subscribes live) and
# wait_for_result=120 for dry-runs (so it can inspect the node trace).
assert "<run_agent_dispatch_mode>" in suffix
assert "wait_for_result=0" in suffix
assert "wait_for_result=120" in suffix
# Regression: dynamic graph id/name must NOT leak into the cacheable
# suffix — they live in the per-turn prefix so renames and cross-graph
# sessions don't invalidate Claude's prompt cache.
assert "graph-1" not in suffix
assert "id=" not in suffix
assert "name=" not in suffix
@pytest.mark.asyncio
async def test_system_prompt_suffix_identical_across_graphs():
"""The suffix must be byte-identical regardless of which graph the
session is bound to — that's what keeps the cacheable prefix warm
across sessions."""
s1 = _session("graph-1")
s2 = _session("graph-2", user_id="different-owner")
with patch(
"backend.copilot.builder_context._load_guide",
return_value="# Guide body",
):
suffix_1 = await build_builder_system_prompt_suffix(s1)
suffix_2 = await build_builder_system_prompt_suffix(s2)
assert suffix_1 == suffix_2
@pytest.mark.asyncio
async def test_system_prompt_suffix_empty_when_guide_load_fails():
"""Guide load failure means we have nothing useful to add — emit an
empty suffix rather than a half-built block."""
session = _session("graph-1")
with patch(
"backend.copilot.builder_context._load_guide",
side_effect=OSError("missing"),
):
suffix = await build_builder_system_prompt_suffix(session)
assert suffix == ""
# ---------------------------------------------------------------------------
# build_builder_context_turn_prefix
# ---------------------------------------------------------------------------
@pytest.mark.asyncio
async def test_turn_prefix_empty_for_non_builder():
session = _session(None)
result = await build_builder_context_turn_prefix(session, "user-1")
assert result == ""
@pytest.mark.asyncio
async def test_turn_prefix_contains_version_nodes_and_links():
session = _session("graph-1")
nodes = [
{
"id": "n1",
"block_id": "block-A",
"input_default": {"name": "Input"},
"metadata": {},
},
{
"id": "n2",
"block_id": "block-B",
"input_default": {},
"metadata": {},
},
]
links = [
{
"source_id": "n1",
"sink_id": "n2",
"source_name": "out",
"sink_name": "in",
}
]
agent = _agent_json(nodes=nodes, links=links)
with patch(
"backend.copilot.builder_context.get_agent_as_json",
new=AsyncMock(return_value=agent),
):
block = await build_builder_context_turn_prefix(session, "user-1")
assert block.startswith(f"<{BUILDER_CONTEXT_TAG}>\n")
assert block.endswith(f"</{BUILDER_CONTEXT_TAG}>\n\n")
assert 'id="graph-1"' in block
assert 'name="My Agent"' in block
assert 'version="3"' in block
assert 'node_count="2"' in block
assert 'edge_count="1"' in block
assert "n1: Input (block-A)" in block
assert "n2: block-B (block-B)" in block
assert "Input.out -> block-B.in" in block
@pytest.mark.asyncio
async def test_turn_prefix_does_not_include_guide():
"""The guide lives in the cacheable system prompt, not in the per-turn
prefix."""
session = _session("graph-1")
with (
patch(
"backend.copilot.builder_context.get_agent_as_json",
new=AsyncMock(return_value=_agent_json()),
),
# Sentinel guide text — if it leaks into the turn prefix the
# assertion below catches it.
patch(
"backend.copilot.builder_context._load_guide",
return_value="SENTINEL_GUIDE_BODY",
),
):
block = await build_builder_context_turn_prefix(session, "user-1")
assert "SENTINEL_GUIDE_BODY" not in block
assert "<building_guide>" not in block
@pytest.mark.asyncio
async def test_turn_prefix_escapes_graph_name():
session = _session("graph-1")
with patch(
"backend.copilot.builder_context.get_agent_as_json",
new=AsyncMock(return_value=_agent_json(name='<script>&"')),
):
block = await build_builder_context_turn_prefix(session, "user-1")
assert 'name="&lt;script&gt;&amp;&quot;"' in block
@pytest.mark.asyncio
async def test_turn_prefix_forwards_user_id_for_ownership():
"""The graph must be fetched with the caller's ``user_id`` so the
ownership check in ``get_graph`` is enforced — we never emit graph
metadata the session user is not entitled to see."""
session = _session("graph-1", user_id="owner-xyz")
agent_json_mock = AsyncMock(return_value=_agent_json())
with patch(
"backend.copilot.builder_context.get_agent_as_json",
new=agent_json_mock,
):
await build_builder_context_turn_prefix(session, "owner-xyz")
agent_json_mock.assert_awaited_once_with("graph-1", "owner-xyz")
@pytest.mark.asyncio
async def test_turn_prefix_fetch_failure_returns_marker():
session = _session("graph-1")
with patch(
"backend.copilot.builder_context.get_agent_as_json",
new=AsyncMock(side_effect=RuntimeError("boom")),
):
block = await build_builder_context_turn_prefix(session, "user-1")
assert block == (
f"<{BUILDER_CONTEXT_TAG}>\n"
"<status>fetch_failed</status>\n"
f"</{BUILDER_CONTEXT_TAG}>\n\n"
)
@pytest.mark.asyncio
async def test_turn_prefix_graph_not_found_returns_marker():
session = _session("graph-1")
with patch(
"backend.copilot.builder_context.get_agent_as_json",
new=AsyncMock(return_value=None),
):
block = await build_builder_context_turn_prefix(session, "user-1")
assert "<status>fetch_failed</status>" in block
@pytest.mark.asyncio
async def test_turn_prefix_node_cap_truncates_with_more_marker():
session = _session("graph-1")
nodes = [
{"id": f"n{i}", "block_id": "b", "input_default": {}, "metadata": {}}
for i in range(150)
]
agent = _agent_json(nodes=nodes)
with patch(
"backend.copilot.builder_context.get_agent_as_json",
new=AsyncMock(return_value=agent),
):
block = await build_builder_context_turn_prefix(session, "user-1")
assert 'node_count="150"' in block
# 50 nodes past the cap of 100.
assert "(50 more not shown)" in block
@pytest.mark.asyncio
async def test_turn_prefix_link_cap_truncates_with_more_marker():
session = _session("graph-1")
nodes = [
{"id": f"n{i}", "block_id": "b", "input_default": {}, "metadata": {}}
for i in range(5)
]
links = [
{
"source_id": "n0",
"sink_id": "n1",
"source_name": "out",
"sink_name": "in",
}
for _ in range(250)
]
agent = _agent_json(nodes=nodes, links=links)
with patch(
"backend.copilot.builder_context.get_agent_as_json",
new=AsyncMock(return_value=agent),
):
block = await build_builder_context_turn_prefix(session, "user-1")
assert 'edge_count="250"' in block
assert "(50 more not shown)" in block
@pytest.mark.asyncio
async def test_turn_prefix_xml_escaping_in_node_names():
session = _session("graph-1")
nodes = [
{
"id": "n1",
"block_id": "b",
"input_default": {"name": 'evil"</builder_context>"'},
"metadata": {},
}
]
agent = _agent_json(nodes=nodes)
with patch(
"backend.copilot.builder_context.get_agent_as_json",
new=AsyncMock(return_value=agent),
):
block = await build_builder_context_turn_prefix(session, "user-1")
# The raw closing tag must never appear inside the block content —
# escaping stops a user-controlled name from breaking out of the block.
assert "&lt;/builder_context&gt;" in block

View File

@@ -8,13 +8,40 @@ from pydantic_settings import BaseSettings
from backend.util.clients import OPENROUTER_BASE_URL
# Per-request routing mode for a single chat turn.
# - 'fast': route to the baseline OpenAI-compatible path with the cheaper model.
# - 'extended_thinking': route to the Claude Agent SDK path with the default
# (opus) model.
# ``None`` means "no override"; the server falls back to the Claude Code
# subscription flag → LaunchDarkly COPILOT_SDK → config.use_claude_agent_sdk.
CopilotMode = Literal["fast", "extended_thinking"]
# Per-request model tier set by the frontend model toggle.
# 'standard' uses ``ChatConfig.model`` (Sonnet by default).
# 'advanced' uses ``ChatConfig.advanced_model`` (Opus by default).
# None means no preference — falls through to LD per-user targeting, then config.
# Using tier names instead of model names keeps the contract model-agnostic.
CopilotLlmModel = Literal["standard", "advanced"]
class ChatConfig(BaseSettings):
"""Configuration for the chat system."""
# OpenAI API Configuration
# Chat model tiers — applied orthogonally to the path (fast=baseline vs
# extended_thinking=SDK). The "fast" vs "extended_thinking" toggle picks
# which code path runs (no reasoning / heavy SDK); "standard" vs
# "advanced" picks the model inside that path.
model: str = Field(
default="anthropic/claude-opus-4.6", description="Default model to use"
default="anthropic/claude-sonnet-4-6",
description="Model used for the 'standard' tier (Sonnet by default). "
"Applies to both baseline (fast) and SDK (extended thinking) paths. "
"Override via CHAT_MODEL env var.",
)
advanced_model: str = Field(
default="anthropic/claude-opus-4-7",
description="Model used for the 'advanced' tier (Opus by default). "
"Applies to both baseline (fast) and SDK (extended thinking) paths. "
"Override via CHAT_ADVANCED_MODEL env var.",
)
title_model: str = Field(
default="openai/gpt-4o-mini",
@@ -74,25 +101,31 @@ class ChatConfig(BaseSettings):
description="Cache TTL in seconds for Langfuse prompt (0 to disable caching)",
)
# Rate limiting — token-based limits per day and per week.
# Per-turn token cost varies with context size: ~10-15K for early turns,
# ~30-50K mid-session, up to ~100K pre-compaction. Average across a
# session with compaction cycles is ~25-35K tokens/turn, so 2.5M daily
# allows ~70-100 turns/day.
# Rate limiting — cost-based limits per day and per week, stored in
# microdollars (1 USD = 1_000_000). The counter tracks the real
# generation cost reported by the provider (OpenRouter ``usage.cost``
# or Claude Agent SDK ``total_cost_usd``), so cache discounts and
# cross-model price differences are already reflected — no token
# weighting or model multiplier is applied on top.
# Checked at the HTTP layer (routes.py) before each turn.
#
# TODO: These are deploy-time constants applied identically to every user.
# If per-user or per-plan limits are needed (e.g., free tier vs paid), these
# must move to the database (e.g., a UserPlan table) and get_usage_status /
# check_rate_limit would look up each user's specific limits instead of
# reading config.daily_token_limit / config.weekly_token_limit.
daily_token_limit: int = Field(
default=2_500_000,
description="Max tokens per day, resets at midnight UTC (0 = unlimited)",
# These are base limits for the FREE tier. Higher tiers (PRO, BUSINESS,
# ENTERPRISE) multiply these by their tier multiplier (see
# rate_limit.TIER_MULTIPLIERS). User tier is stored in the
# User.subscriptionTier DB column and resolved inside
# get_global_rate_limits().
#
# These defaults act as the ceiling when LaunchDarkly is unreachable;
# the live per-tier values come from the COPILOT_*_COST_LIMIT flags.
daily_cost_limit_microdollars: int = Field(
default=1_000_000,
description="Max cost per day in microdollars, resets at midnight UTC "
"(0 = unlimited).",
)
weekly_token_limit: int = Field(
default=12_500_000,
description="Max tokens per week, resets Monday 00:00 UTC (0 = unlimited)",
weekly_cost_limit_microdollars: int = Field(
default=5_000_000,
description="Max cost per week in microdollars, resets Monday 00:00 UTC "
"(0 = unlimited).",
)
# Cost (in credits / cents) to reset the daily rate limit using credits.
@@ -133,6 +166,97 @@ class ChatConfig(BaseSettings):
description="Use --resume for multi-turn conversations instead of "
"history compression. Falls back to compression when unavailable.",
)
claude_agent_fallback_model: str = Field(
default="",
description="Fallback model when the primary model is unavailable (e.g. 529 "
"overloaded). The SDK automatically retries with this cheaper model. "
"Empty string disables the fallback (no --fallback-model flag passed to CLI).",
)
claude_agent_max_turns: int = Field(
default=50,
ge=1,
le=10000,
description="Maximum number of agentic turns (tool-use loops) per query. "
"Prevents runaway tool loops from burning budget. "
"Changed from 1000 to 50 in SDK 0.1.58 upgrade — override via "
"CHAT_CLAUDE_AGENT_MAX_TURNS env var if your workflows need more.",
)
claude_agent_max_budget_usd: float = Field(
default=10.0,
ge=0.01,
le=1000.0,
description="Maximum spend in USD per SDK query. The CLI attempts "
"to wrap up gracefully when this budget is reached. "
"Set to $10 to allow most tasks to complete (p50=$5.37, p75=$13.07). "
"Override via CHAT_CLAUDE_AGENT_MAX_BUDGET_USD env var.",
)
claude_agent_max_thinking_tokens: int = Field(
default=8192,
ge=0,
le=128000,
description="Maximum thinking/reasoning tokens per LLM call. Applies "
"to both the Claude Agent SDK path (as ``max_thinking_tokens``) and "
"the baseline OpenRouter path (as ``extra_body.reasoning.max_tokens`` "
"on Anthropic routes). Extended thinking on Opus can generate 50k+ "
"tokens at $75/M — capping this is the single biggest cost lever. "
"8192 is sufficient for most tasks; increase for complex reasoning. "
"Set to 0 to disable extended thinking on both paths (kill switch): "
"baseline skips the ``reasoning`` extra_body; SDK omits the "
"``max_thinking_tokens`` kwarg so the CLI falls back to model default "
"(which, without the flag, leaves extended thinking off).",
)
claude_agent_thinking_effort: Literal["low", "medium", "high", "max"] | None = (
Field(
default=None,
description="Thinking effort level: 'low', 'medium', 'high', 'max', or None. "
"Only applies to models with extended thinking (Opus). "
"Sonnet doesn't have extended thinking — setting effort on Sonnet "
"can cause <internal_reasoning> tag leaks. "
"None = let the model decide. Override via CHAT_CLAUDE_AGENT_THINKING_EFFORT.",
)
)
claude_agent_max_transient_retries: int = Field(
default=3,
ge=0,
le=10,
description="Maximum number of retries for transient API errors "
"(429, 5xx, ECONNRESET) before surfacing the error to the user.",
)
claude_agent_cross_user_prompt_cache: bool = Field(
default=True,
description="Enable cross-user prompt caching via SystemPromptPreset. "
"The Claude Code default prompt becomes a cacheable prefix shared "
"across all users, and our custom prompt is appended after it. "
"Dynamic sections (working dir, git status, auto-memory) are excluded "
"from the prefix. Set to False to fall back to passing the system "
"prompt as a raw string.",
)
baseline_prompt_cache_ttl: str = Field(
default="1h",
description="TTL for the ephemeral prompt-cache markers on the baseline "
"OpenRouter path. Anthropic supports only `5m` (default, 1.25x input "
"price for the write) or `1h` (2x input price for the write). 1h is "
"strictly cheaper overall when the static prefix gets >7 reads per "
"write-window; since the system prompt + tools array is identical "
"across all users in our workspace, 1h is the default so cross-user "
"reads amortise the higher write cost. Anthropic has no longer "
"(24h, permanent) TTL option — see "
"https://platform.claude.com/docs/en/build-with-claude/prompt-caching.",
)
claude_agent_cli_path: str | None = Field(
default=None,
description="Optional explicit path to a Claude Code CLI binary. "
"When set, the SDK uses this binary instead of the version bundled "
"with the installed `claude-agent-sdk` package — letting us pin "
"the Python SDK and the CLI independently. Critical for keeping "
"OpenRouter compatibility while still picking up newer SDK API "
"features (the bundled CLI version in 0.1.46+ is broken against "
"OpenRouter — see PR #12294 and "
"anthropics/claude-agent-sdk-python#789). Falls back to the "
"bundled binary when unset. Reads from `CHAT_CLAUDE_AGENT_CLI_PATH` "
"or the unprefixed `CLAUDE_AGENT_CLI_PATH` environment variable "
"(same pattern as `api_key` / `base_url`).",
)
use_openrouter: bool = Field(
default=True,
description="Enable routing API calls through the OpenRouter proxy. "
@@ -255,6 +379,40 @@ class ChatConfig(BaseSettings):
v = OPENROUTER_BASE_URL
return v
@field_validator("claude_agent_cli_path", mode="before")
@classmethod
def get_claude_agent_cli_path(cls, v):
"""Resolve the Claude Code CLI override path from environment.
Accepts either the Pydantic-prefixed ``CHAT_CLAUDE_AGENT_CLI_PATH``
or the unprefixed ``CLAUDE_AGENT_CLI_PATH`` (matching the same
fallback pattern used by ``api_key`` / ``base_url``). Keeping the
unprefixed form working is important because the field is
primarily an operator escape hatch set via container/host env,
and the unprefixed name is what the PR description, the field
docstrings, and the reproduction test in
``cli_openrouter_compat_test.py`` refer to.
"""
if not v:
v = os.getenv("CHAT_CLAUDE_AGENT_CLI_PATH")
if not v:
v = os.getenv("CLAUDE_AGENT_CLI_PATH")
if v:
if not os.path.exists(v):
raise ValueError(
f"claude_agent_cli_path '{v}' does not exist. "
"Check the path or unset CLAUDE_AGENT_CLI_PATH to use "
"the bundled CLI."
)
if not os.path.isfile(v):
raise ValueError(f"claude_agent_cli_path '{v}' is not a regular file.")
if not os.access(v, os.X_OK):
raise ValueError(
f"claude_agent_cli_path '{v}' exists but is not executable. "
"Check file permissions."
)
return v
# Prompt paths for different contexts
PROMPT_PATHS: dict[str, str] = {
"default": "prompts/chat_system.md",

View File

@@ -17,6 +17,8 @@ _ENV_VARS_TO_CLEAR = (
"CHAT_BASE_URL",
"OPENROUTER_BASE_URL",
"OPENAI_BASE_URL",
"CHAT_CLAUDE_AGENT_CLI_PATH",
"CLAUDE_AGENT_CLI_PATH",
)
@@ -87,3 +89,78 @@ class TestE2BActive:
"""e2b_active is False when use_e2b_sandbox=False regardless of key."""
cfg = ChatConfig(use_e2b_sandbox=False, e2b_api_key="test-key")
assert cfg.e2b_active is False
class TestClaudeAgentCliPathEnvFallback:
"""``claude_agent_cli_path`` accepts both the Pydantic-prefixed
``CHAT_CLAUDE_AGENT_CLI_PATH`` env var and the unprefixed
``CLAUDE_AGENT_CLI_PATH`` form (mirrors ``api_key`` / ``base_url``).
"""
def test_prefixed_env_var_is_picked_up(
self, monkeypatch: pytest.MonkeyPatch, tmp_path
) -> None:
fake_cli = tmp_path / "fake-claude"
fake_cli.write_text("#!/bin/sh\n")
fake_cli.chmod(0o755)
monkeypatch.setenv("CHAT_CLAUDE_AGENT_CLI_PATH", str(fake_cli))
cfg = ChatConfig()
assert cfg.claude_agent_cli_path == str(fake_cli)
def test_unprefixed_env_var_is_picked_up(
self, monkeypatch: pytest.MonkeyPatch, tmp_path
) -> None:
fake_cli = tmp_path / "fake-claude"
fake_cli.write_text("#!/bin/sh\n")
fake_cli.chmod(0o755)
monkeypatch.setenv("CLAUDE_AGENT_CLI_PATH", str(fake_cli))
cfg = ChatConfig()
assert cfg.claude_agent_cli_path == str(fake_cli)
def test_prefixed_wins_over_unprefixed(
self, monkeypatch: pytest.MonkeyPatch, tmp_path
) -> None:
prefixed_cli = tmp_path / "fake-claude-prefixed"
prefixed_cli.write_text("#!/bin/sh\n")
prefixed_cli.chmod(0o755)
unprefixed_cli = tmp_path / "fake-claude-unprefixed"
unprefixed_cli.write_text("#!/bin/sh\n")
unprefixed_cli.chmod(0o755)
monkeypatch.setenv("CHAT_CLAUDE_AGENT_CLI_PATH", str(prefixed_cli))
monkeypatch.setenv("CLAUDE_AGENT_CLI_PATH", str(unprefixed_cli))
cfg = ChatConfig()
assert cfg.claude_agent_cli_path == str(prefixed_cli)
def test_no_env_var_defaults_to_none(self, monkeypatch: pytest.MonkeyPatch) -> None:
cfg = ChatConfig()
assert cfg.claude_agent_cli_path is None
def test_nonexistent_path_raises_validation_error(
self, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Non-existent CLI path must be rejected at config time, not at
runtime when subprocess.run fails with an opaque OS error."""
monkeypatch.setenv(
"CLAUDE_AGENT_CLI_PATH", "/opt/nonexistent/claude-cli-binary"
)
with pytest.raises(Exception, match="does not exist"):
ChatConfig()
def test_non_executable_path_raises_validation_error(
self, monkeypatch: pytest.MonkeyPatch, tmp_path
) -> None:
"""Path that exists but is not executable must be rejected."""
non_exec = tmp_path / "claude-not-executable"
non_exec.write_text("#!/bin/sh\n")
non_exec.chmod(0o644) # readable but not executable
monkeypatch.setenv("CLAUDE_AGENT_CLI_PATH", str(non_exec))
with pytest.raises(Exception, match="not executable"):
ChatConfig()
def test_directory_path_raises_validation_error(
self, monkeypatch: pytest.MonkeyPatch, tmp_path
) -> None:
"""Path pointing to a directory must be rejected."""
monkeypatch.setenv("CLAUDE_AGENT_CLI_PATH", str(tmp_path))
with pytest.raises(Exception, match="not a regular file"):
ChatConfig()

View File

@@ -9,6 +9,11 @@ COPILOT_RETRYABLE_ERROR_PREFIX = (
)
COPILOT_SYSTEM_PREFIX = "[__COPILOT_SYSTEM_e3b0__]" # Renders as system info message
# Canonical marker appended as an assistant ChatMessage when the SDK stream
# ends without a ResultMessage (user hit Stop). Checked by exact equality
# at turn start so the next turn's --resume transcript doesn't carry it.
STOPPED_BY_USER_MARKER = f"{COPILOT_SYSTEM_PREFIX} Execution stopped by user"
# Prefix for all synthetic IDs generated by CoPilot block execution.
# Used to distinguish CoPilot-generated records from real graph execution records
# in PendingHumanReview and other tables.
@@ -27,6 +32,24 @@ COMPACTION_DONE_MSG = "Earlier messages were summarized to fit within context li
COMPACTION_TOOL_NAME = "context_compaction"
# ---------------------------------------------------------------------------
# Tool / stream timing budget
# ---------------------------------------------------------------------------
# Max seconds any single MCP tool call may block the stream before returning
# a "still running" handle. Shared by run_agent (wait_for_result),
# view_agent_output (wait_if_running), run_sub_session (wait_for_result),
# get_sub_session_result (wait_if_running), and run_block (hard cap).
#
# Chosen so the stream idle timeout (2× this) always has headroom — a tool
# that returns right at the cap can't race the idle watchdog.
MAX_TOOL_WAIT_SECONDS = 5 * 60 # 5 minutes
# Idle-stream watchdog: abort the SDK stream if no meaningful event arrives
# for this long. Derived from MAX_TOOL_WAIT_SECONDS so the invariant
# "no tool blocks >= idle_timeout" holds by construction.
STREAM_IDLE_TIMEOUT_SECONDS = MAX_TOOL_WAIT_SECONDS * 2 # 10 minutes
def is_copilot_synthetic_id(id_value: str) -> bool:
"""Check if an ID is a CoPilot synthetic ID (not from a real graph execution)."""
return id_value.startswith(COPILOT_SYNTHETIC_ID_PREFIX)
@@ -44,15 +67,36 @@ def parse_node_id_from_exec_id(node_exec_id: str) -> str:
# Transient Anthropic API error detection
# ---------------------------------------------------------------------------
# Patterns in error text that indicate a transient Anthropic API error
# (ECONNRESET / dropped TCP connection) which is retryable.
# which is retryable. Covers:
# - Connection-level: ECONNRESET, dropped TCP connections
# - HTTP 429: rate-limit / too-many-requests
# - HTTP 5xx: server errors
#
# Prefer specific status-code patterns over natural-language phrases
# (e.g. "overloaded", "bad gateway") — those phrases can appear in
# application-level SDK messages and would trigger spurious retries.
_TRANSIENT_ERROR_PATTERNS = (
# Connection-level
"socket connection was closed unexpectedly",
"ECONNRESET",
"connection was forcibly closed",
"network socket disconnected",
# 429 rate-limit patterns
"rate limit",
"rate_limit",
"too many requests",
"status code 429",
# 5xx server error patterns (status-code-specific to avoid false positives)
"status code 529",
"status code 500",
"status code 502",
"status code 503",
"status code 504",
)
FRIENDLY_TRANSIENT_MSG = "Anthropic connection interrupted — please retry"
FRIENDLY_TRANSIENT_MSG = (
"Anthropic connection interrupted after repeated attempts — please try again later"
)
def is_transient_api_error(error_text: str) -> bool:

View File

@@ -23,7 +23,7 @@ if TYPE_CHECKING:
# Allowed base directory for the Read tool. Public so service.py can use it
# for sweep operations without depending on a private implementation detail.
# Respects CLAUDE_CONFIG_DIR env var, consistent with transcript.py's
# _projects_base() function.
# projects_base() function.
_config_dir = os.environ.get("CLAUDE_CONFIG_DIR") or os.path.expanduser("~/.claude")
SDK_PROJECTS_DIR = os.path.realpath(os.path.join(_config_dir, "projects"))
@@ -116,6 +116,47 @@ def is_within_allowed_dirs(path: str) -> bool:
return False
def is_sdk_tool_path(path: str) -> bool:
"""Return True if *path* is an SDK-internal tool-results or tool-outputs path.
These paths exist on the host filesystem (not in the E2B sandbox) and are
created by the Claude Agent SDK itself. In E2B mode, only these paths should
be read from the host; all other paths should be read from the sandbox.
This is a strict subset of ``is_allowed_local_path`` — it intentionally
excludes ``sdk_cwd`` paths because those are the agent's working directory,
which in E2B mode is the sandbox, not the host.
"""
if not path:
return False
if path.startswith("~"):
resolved = os.path.realpath(os.path.expanduser(path))
elif not os.path.isabs(path):
# Relative paths cannot resolve to an absolute SDK-internal path
return False
else:
resolved = os.path.realpath(path)
encoded = _current_project_dir.get("")
if not encoded:
return False
project_dir = os.path.realpath(os.path.join(SDK_PROJECTS_DIR, encoded))
if not project_dir.startswith(SDK_PROJECTS_DIR + os.sep):
return False
if not resolved.startswith(project_dir + os.sep):
return False
relative = resolved[len(project_dir) + 1 :]
parts = relative.split(os.sep)
return (
len(parts) >= 3
and _UUID_RE.match(parts[0]) is not None
and parts[1] in ("tool-results", "tool-outputs")
)
def resolve_sandbox_path(path: str) -> str:
"""Normalise *path* to an absolute sandbox path under an allowed directory.

View File

@@ -10,10 +10,13 @@ from prisma.models import ChatMessage as PrismaChatMessage
from prisma.models import ChatSession as PrismaChatSession
from prisma.types import (
ChatMessageCreateInput,
ChatMessageWhereInput,
ChatSessionCreateInput,
ChatSessionUpdateInput,
ChatSessionWhereInput,
FindManyChatMessageArgsFromChatSession,
)
from pydantic import BaseModel
from backend.data import db
from backend.util.json import SafeJson, sanitize_string
@@ -23,11 +26,23 @@ from .model import (
ChatSession,
ChatSessionInfo,
ChatSessionMetadata,
invalidate_session_cache,
cache_chat_session,
)
from .model import get_chat_session as get_chat_session_cached
logger = logging.getLogger(__name__)
_BOUNDARY_SCAN_LIMIT = 10
class PaginatedMessages(BaseModel):
"""Result of a paginated message query."""
messages: list[ChatMessage]
has_more: bool
oldest_sequence: int | None
session: ChatSessionInfo
async def get_chat_session(session_id: str) -> ChatSession | None:
"""Get a chat session by ID from the database."""
@@ -38,6 +53,182 @@ async def get_chat_session(session_id: str) -> ChatSession | None:
return ChatSession.from_db(session) if session else None
async def get_chat_session_metadata(session_id: str) -> ChatSessionInfo | None:
"""Get chat session metadata (without messages) for ownership validation."""
session = await PrismaChatSession.prisma().find_unique(
where={"id": session_id},
)
return ChatSessionInfo.from_db(session) if session else None
async def get_chat_messages_paginated(
session_id: str,
limit: int = 50,
before_sequence: int | None = None,
user_id: str | None = None,
) -> PaginatedMessages | None:
"""Get paginated messages for a session, newest first.
Verifies session existence (and ownership when ``user_id`` is provided)
in parallel with the message query. Returns ``None`` when the session
is not found or does not belong to the user.
After fetching, a visibility guarantee ensures the page contains at least
one user or assistant message. If the entire page is tool messages (which
are hidden in the UI), it expands backward until a visible message is found
so the chat never appears blank.
"""
# Build session-existence / ownership check
session_where: ChatSessionWhereInput = {"id": session_id}
if user_id is not None:
session_where["userId"] = user_id
# Build message include — fetch paginated messages in the same query
msg_include: FindManyChatMessageArgsFromChatSession = {
"order_by": {"sequence": "desc"},
"take": limit + 1,
}
if before_sequence is not None:
msg_include["where"] = {"sequence": {"lt": before_sequence}}
# Single query: session existence/ownership + paginated messages
session = await PrismaChatSession.prisma().find_first(
where=session_where,
include={"Messages": msg_include},
)
if session is None:
return None
session_info = ChatSessionInfo.from_db(session)
results = list(session.Messages) if session.Messages else []
has_more = len(results) > limit
results = results[:limit]
# Reverse to ascending order
results.reverse()
# Tool-call boundary fix: if the oldest message is a tool message,
# expand backward to include the preceding assistant message that
# owns the tool_calls, so convertChatSessionMessagesToUiMessages
# can pair them correctly.
if results and results[0].role == "tool":
results, has_more = await _expand_tool_boundary(
session_id, results, has_more, user_id
)
# Visibility guarantee: if the entire page has no user/assistant messages
# (all tool messages), the chat would appear blank. Expand backward
# until we find at least one visible message.
if results and not any(m.role in ("user", "assistant") for m in results):
results, has_more = await _expand_for_visibility(
session_id, results, has_more, user_id
)
messages = [ChatMessage.from_db(m) for m in results]
oldest_sequence = messages[0].sequence if messages else None
return PaginatedMessages(
messages=messages,
has_more=has_more,
oldest_sequence=oldest_sequence,
session=session_info,
)
async def _expand_tool_boundary(
session_id: str,
results: list[Any],
has_more: bool,
user_id: str | None,
) -> tuple[list[Any], bool]:
"""Expand backward from the oldest message to include the owning assistant
message when the page starts mid-tool-group."""
boundary_where: ChatMessageWhereInput = {
"sessionId": session_id,
"sequence": {"lt": results[0].sequence},
}
if user_id is not None:
boundary_where["Session"] = {"is": {"userId": user_id}}
extra = await PrismaChatMessage.prisma().find_many(
where=boundary_where,
order={"sequence": "desc"},
take=_BOUNDARY_SCAN_LIMIT,
)
# Find the first non-tool message (should be the assistant)
boundary_msgs = []
found_owner = False
for msg in extra:
boundary_msgs.append(msg)
if msg.role != "tool":
found_owner = True
break
boundary_msgs.reverse()
if not found_owner:
logger.warning(
"Boundary expansion did not find owning assistant message "
"for session=%s before sequence=%s (%d msgs scanned)",
session_id,
results[0].sequence,
len(extra),
)
if boundary_msgs:
results = boundary_msgs + results
has_more = boundary_msgs[0].sequence > 0
return results, has_more
_VISIBILITY_EXPAND_LIMIT = 200
async def _expand_for_visibility(
session_id: str,
results: list[Any],
has_more: bool,
user_id: str | None,
) -> tuple[list[Any], bool]:
"""Expand backward until the page contains at least one user or assistant
message, so the chat is never blank."""
expand_where: ChatMessageWhereInput = {
"sessionId": session_id,
"sequence": {"lt": results[0].sequence},
}
if user_id is not None:
expand_where["Session"] = {"is": {"userId": user_id}}
extra = await PrismaChatMessage.prisma().find_many(
where=expand_where,
order={"sequence": "desc"},
take=_VISIBILITY_EXPAND_LIMIT,
)
if not extra:
return results, has_more
# Collect messages until we find a visible one (user/assistant)
prepend = []
found_visible = False
for msg in extra:
prepend.append(msg)
if msg.role in ("user", "assistant"):
found_visible = True
break
if not found_visible:
logger.warning(
"Visibility expansion did not find any user/assistant message "
"for session=%s before sequence=%s (%d msgs scanned)",
session_id,
results[0].sequence,
len(extra),
)
prepend.reverse()
if prepend:
results = prepend + results
has_more = prepend[0].sequence > 0
return results, has_more
async def create_chat_session(
session_id: str,
user_id: str,
@@ -377,11 +568,64 @@ async def update_tool_message_content(
return False
async def update_message_content_by_sequence(
session_id: str,
sequence: int,
new_content: str,
) -> bool:
"""Update the content of a specific message by its sequence number.
Used to persist content modifications (e.g. user-context prefix injection)
to a message that was already saved to the DB.
Authorization note: session_id is a high-entropy UUID generated at session
creation time. Callers (inject_user_context) only receive a session_id
after the service layer has already validated that the requesting user owns
the session, so a userId join is not required here.
Args:
session_id: The chat session ID.
sequence: The 0-based sequence number of the message to update.
new_content: The new content to set.
Returns:
True if a message was updated, False otherwise.
"""
try:
result = await PrismaChatMessage.prisma().update_many(
where={"sessionId": session_id, "sequence": sequence},
data={"content": sanitize_string(new_content)},
)
if result == 0:
logger.warning(
f"No message found to update for session {session_id}, sequence {sequence}"
)
return False
if result > 1:
# Defence-in-depth: (sessionId, sequence) is expected to identify
# at most one message. If we ever hit this branch it indicates a
# data integrity issue (non-unique sequence numbers within a
# session) that silently corrupted multiple rows.
logger.error(
f"update_message_content_by_sequence touched {result} rows "
f"for session {session_id}, sequence {sequence} — expected 1"
)
return True
except Exception as e:
logger.error(
f"Failed to update message for session {session_id}, sequence {sequence}: {e}"
)
return False
async def set_turn_duration(session_id: str, duration_ms: int) -> None:
"""Set durationMs on the last assistant message in a session.
Also invalidates the Redis session cache so the next GET returns
the updated duration.
Updates the Redis cache in-place instead of invalidating it.
Invalidation would delete the key, creating a window where concurrent
``get_chat_session`` calls re-populate the cache from DB — potentially
with stale data if the DB write from the previous turn hasn't propagated.
This race caused duplicate user messages on the next turn.
"""
last_msg = await PrismaChatMessage.prisma().find_first(
where={"sessionId": session_id, "role": "assistant"},
@@ -392,5 +636,13 @@ async def set_turn_duration(session_id: str, duration_ms: int) -> None:
where={"id": last_msg.id},
data={"durationMs": duration_ms},
)
# Invalidate cache so the session is re-fetched from DB with durationMs
await invalidate_session_cache(session_id)
# Update cache in-place rather than invalidating to avoid a
# race window where the empty cache gets re-populated with
# stale data by a concurrent get_chat_session call.
session = await get_chat_session_cached(session_id)
if session and session.messages:
for msg in reversed(session.messages):
if msg.role == "assistant":
msg.duration_ms = duration_ms
break
await cache_chat_session(session)

View File

@@ -0,0 +1,610 @@
"""Unit tests for copilot.db — paginated message queries."""
from __future__ import annotations
from datetime import UTC, datetime
from typing import Any
from unittest.mock import AsyncMock, patch
import pytest
from prisma.models import ChatMessage as PrismaChatMessage
from prisma.models import ChatSession as PrismaChatSession
from backend.copilot.db import (
PaginatedMessages,
get_chat_messages_paginated,
set_turn_duration,
update_message_content_by_sequence,
)
from backend.copilot.model import ChatMessage as CopilotChatMessage
from backend.copilot.model import ChatSession, get_chat_session, upsert_chat_session
def _make_msg(
sequence: int,
role: str = "assistant",
content: str | None = "hello",
tool_calls: Any = None,
) -> PrismaChatMessage:
"""Build a minimal PrismaChatMessage for testing."""
return PrismaChatMessage(
id=f"msg-{sequence}",
createdAt=datetime.now(UTC),
sessionId="sess-1",
role=role,
content=content,
sequence=sequence,
toolCalls=tool_calls,
name=None,
toolCallId=None,
refusal=None,
functionCall=None,
)
def _make_session(
session_id: str = "sess-1",
user_id: str = "user-1",
messages: list[PrismaChatMessage] | None = None,
) -> PrismaChatSession:
"""Build a minimal PrismaChatSession for testing."""
now = datetime.now(UTC)
session = PrismaChatSession.model_construct(
id=session_id,
createdAt=now,
updatedAt=now,
userId=user_id,
credentials={},
successfulAgentRuns={},
successfulAgentSchedules={},
totalPromptTokens=0,
totalCompletionTokens=0,
title=None,
metadata={},
Messages=messages or [],
)
return session
SESSION_ID = "sess-1"
@pytest.fixture()
def mock_db():
"""Patch ChatSession.prisma().find_first and ChatMessage.prisma().find_many.
find_first is used for the main query (session + included messages).
find_many is used only for boundary expansion queries.
"""
with (
patch.object(PrismaChatSession, "prisma") as mock_session_prisma,
patch.object(PrismaChatMessage, "prisma") as mock_msg_prisma,
):
find_first = AsyncMock()
mock_session_prisma.return_value.find_first = find_first
find_many = AsyncMock(return_value=[])
mock_msg_prisma.return_value.find_many = find_many
yield find_first, find_many
# ---------- Basic pagination ----------
@pytest.mark.asyncio
async def test_basic_page_returns_messages_ascending(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""Messages are returned in ascending sequence order."""
find_first, _ = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(3), _make_msg(2), _make_msg(1)],
)
page = await get_chat_messages_paginated(SESSION_ID, limit=5)
assert isinstance(page, PaginatedMessages)
assert [m.sequence for m in page.messages] == [1, 2, 3]
assert page.has_more is False
assert page.oldest_sequence == 1
@pytest.mark.asyncio
async def test_has_more_when_results_exceed_limit(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""has_more is True when DB returns more than limit items."""
find_first, _ = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(3), _make_msg(2), _make_msg(1)],
)
page = await get_chat_messages_paginated(SESSION_ID, limit=2)
assert page is not None
assert page.has_more is True
assert len(page.messages) == 2
assert [m.sequence for m in page.messages] == [2, 3]
@pytest.mark.asyncio
async def test_empty_session_returns_no_messages(
mock_db: tuple[AsyncMock, AsyncMock],
):
find_first, _ = mock_db
find_first.return_value = _make_session(messages=[])
page = await get_chat_messages_paginated(SESSION_ID, limit=50)
assert page is not None
assert page.messages == []
assert page.has_more is False
assert page.oldest_sequence is None
@pytest.mark.asyncio
async def test_before_sequence_filters_correctly(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""before_sequence is passed as a where filter inside the Messages include."""
find_first, _ = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(2), _make_msg(1)],
)
await get_chat_messages_paginated(SESSION_ID, limit=50, before_sequence=5)
call_kwargs = find_first.call_args
include = call_kwargs.kwargs.get("include") or call_kwargs[1].get("include")
assert include["Messages"]["where"] == {"sequence": {"lt": 5}}
@pytest.mark.asyncio
async def test_no_where_on_messages_without_before_sequence(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""Without before_sequence, the Messages include has no where clause."""
find_first, _ = mock_db
find_first.return_value = _make_session(messages=[_make_msg(1)])
await get_chat_messages_paginated(SESSION_ID, limit=50)
call_kwargs = find_first.call_args
include = call_kwargs.kwargs.get("include") or call_kwargs[1].get("include")
assert "where" not in include["Messages"]
# ---------- Visibility guarantee ----------
@pytest.mark.asyncio
async def test_visibility_expands_when_all_tool_messages(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""When the entire page is tool messages, expand backward to find
at least one visible (user/assistant) message so the chat isn't blank."""
find_first, find_many = mock_db
# Newest 3 messages are all tool messages (DESC → reversed to ASC)
find_first.return_value = _make_session(
messages=[
_make_msg(12, role="tool"),
_make_msg(11, role="tool"),
_make_msg(10, role="tool"),
],
)
# Boundary expansion finds the owning assistant first (boundary fix),
# then visibility expansion finds a user message further back
find_many.side_effect = [
# First call: boundary fix (oldest msg is tool → find owner)
[_make_msg(9, role="tool"), _make_msg(8, role="tool")],
# Second call: visibility expansion (still all tool → find visible)
[_make_msg(7, role="tool"), _make_msg(6, role="assistant")],
]
page = await get_chat_messages_paginated(SESSION_ID, limit=3)
assert page is not None
# Should include the expanded messages + original tool messages
roles = [m.role for m in page.messages]
assert "assistant" in roles or "user" in roles
assert page.has_more is True
@pytest.mark.asyncio
async def test_no_visibility_expansion_when_visible_messages_present(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""No visibility expansion needed when page already has visible messages."""
find_first, find_many = mock_db
# Page has an assistant message among tool messages
find_first.return_value = _make_session(
messages=[
_make_msg(5, role="tool"),
_make_msg(4, role="assistant"),
_make_msg(3, role="user"),
],
)
page = await get_chat_messages_paginated(SESSION_ID, limit=3)
assert page is not None
# Boundary expansion might fire (oldest is tool), but NOT visibility
assert [m.sequence for m in page.messages][0] <= 3
@pytest.mark.asyncio
async def test_visibility_no_expansion_when_no_earlier_messages(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""When the page is all tool messages but there are no earlier messages
in the DB, visibility expansion returns early without changes."""
find_first, find_many = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(1, role="tool"), _make_msg(0, role="tool")],
)
# Boundary expansion: no earlier messages
# Visibility expansion: no earlier messages
find_many.side_effect = [[], []]
page = await get_chat_messages_paginated(SESSION_ID, limit=2)
assert page is not None
assert all(m.role == "tool" for m in page.messages)
@pytest.mark.asyncio
async def test_visibility_expansion_reaches_seq_zero(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""When visibility expansion finds a visible message at sequence 0,
has_more should be False."""
find_first, find_many = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(5, role="tool"), _make_msg(4, role="tool")],
)
find_many.side_effect = [
# Boundary expansion
[_make_msg(3, role="tool")],
# Visibility expansion — finds user at seq 0
[
_make_msg(2, role="tool"),
_make_msg(1, role="tool"),
_make_msg(0, role="user"),
],
]
page = await get_chat_messages_paginated(SESSION_ID, limit=2)
assert page is not None
assert page.messages[0].role == "user"
assert page.messages[0].sequence == 0
assert page.has_more is False
@pytest.mark.asyncio
async def test_visibility_expansion_with_user_id(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""Visibility expansion passes user_id filter to the boundary query."""
find_first, find_many = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(10, role="tool")],
)
find_many.side_effect = [
# Boundary expansion
[_make_msg(9, role="tool")],
# Visibility expansion
[_make_msg(8, role="assistant")],
]
await get_chat_messages_paginated(SESSION_ID, limit=1, user_id="user-abc")
# Both find_many calls should include the user_id session filter
for call in find_many.call_args_list:
where = call.kwargs.get("where") or call[1].get("where")
assert "Session" in where
assert where["Session"] == {"is": {"userId": "user-abc"}}
@pytest.mark.asyncio
async def test_user_id_filter_applied_to_session_where(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""user_id adds a userId filter to the session-level where clause."""
find_first, _ = mock_db
find_first.return_value = _make_session(messages=[_make_msg(1)])
await get_chat_messages_paginated(SESSION_ID, limit=50, user_id="user-abc")
call_kwargs = find_first.call_args
where = call_kwargs.kwargs.get("where") or call_kwargs[1].get("where")
assert where["userId"] == "user-abc"
@pytest.mark.asyncio
async def test_session_not_found_returns_none(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""Returns None when session doesn't exist or user doesn't own it."""
find_first, _ = mock_db
find_first.return_value = None
page = await get_chat_messages_paginated(SESSION_ID, limit=50)
assert page is None
@pytest.mark.asyncio
async def test_session_info_included_in_result(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""PaginatedMessages includes session metadata."""
find_first, _ = mock_db
find_first.return_value = _make_session(messages=[_make_msg(1)])
page = await get_chat_messages_paginated(SESSION_ID, limit=50)
assert page is not None
assert page.session.session_id == SESSION_ID
# ---------- Backward boundary expansion ----------
@pytest.mark.asyncio
async def test_boundary_expansion_includes_assistant(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""When page starts with a tool message, expand backward to include
the owning assistant message."""
find_first, find_many = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(5, role="tool"), _make_msg(4, role="tool")],
)
find_many.return_value = [_make_msg(3, role="assistant")]
page = await get_chat_messages_paginated(SESSION_ID, limit=5)
assert page is not None
assert [m.sequence for m in page.messages] == [3, 4, 5]
assert page.messages[0].role == "assistant"
assert page.oldest_sequence == 3
@pytest.mark.asyncio
async def test_boundary_expansion_includes_multiple_tool_msgs(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""Boundary expansion scans past consecutive tool messages to find
the owning assistant."""
find_first, find_many = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(7, role="tool")],
)
find_many.return_value = [
_make_msg(6, role="tool"),
_make_msg(5, role="tool"),
_make_msg(4, role="assistant"),
]
page = await get_chat_messages_paginated(SESSION_ID, limit=5)
assert page is not None
assert [m.sequence for m in page.messages] == [4, 5, 6, 7]
assert page.messages[0].role == "assistant"
@pytest.mark.asyncio
async def test_boundary_expansion_sets_has_more_when_not_at_start(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""After boundary expansion, has_more=True if expanded msgs aren't at seq 0."""
find_first, find_many = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(3, role="tool")],
)
find_many.return_value = [_make_msg(2, role="assistant")]
page = await get_chat_messages_paginated(SESSION_ID, limit=5)
assert page is not None
assert page.has_more is True
@pytest.mark.asyncio
async def test_boundary_expansion_no_has_more_at_conversation_start(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""has_more stays False when boundary expansion reaches seq 0."""
find_first, find_many = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(1, role="tool")],
)
find_many.return_value = [_make_msg(0, role="assistant")]
page = await get_chat_messages_paginated(SESSION_ID, limit=5)
assert page is not None
assert page.has_more is False
assert page.oldest_sequence == 0
@pytest.mark.asyncio
async def test_no_boundary_expansion_when_first_msg_not_tool(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""No boundary expansion when the first message is not a tool message."""
find_first, find_many = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(3, role="user"), _make_msg(2, role="assistant")],
)
page = await get_chat_messages_paginated(SESSION_ID, limit=5)
assert page is not None
assert find_many.call_count == 0
assert [m.sequence for m in page.messages] == [2, 3]
@pytest.mark.asyncio
async def test_boundary_expansion_warns_when_no_owner_found(
mock_db: tuple[AsyncMock, AsyncMock],
):
"""When boundary scan doesn't find a non-tool message, a warning is logged
and the boundary messages are still included."""
find_first, find_many = mock_db
find_first.return_value = _make_session(
messages=[_make_msg(10, role="tool")],
)
find_many.return_value = [_make_msg(i, role="tool") for i in range(9, -1, -1)]
with patch("backend.copilot.db.logger") as mock_logger:
page = await get_chat_messages_paginated(SESSION_ID, limit=5)
# Two warnings: boundary expansion + visibility expansion (all tool msgs)
assert mock_logger.warning.call_count == 2
assert page is not None
assert page.messages[0].role == "tool"
assert len(page.messages) > 1
# ---------- Turn duration (integration tests) ----------
@pytest.mark.asyncio(loop_scope="session")
async def test_set_turn_duration_updates_cache_in_place(setup_test_user, test_user_id):
"""set_turn_duration patches the cached session without invalidation.
Verifies that after calling set_turn_duration the Redis-cached session
reflects the updated durationMs on the last assistant message, without
the cache having been deleted and re-populated (which could race with
concurrent get_chat_session calls).
"""
session = ChatSession.new(user_id=test_user_id, dry_run=False)
session.messages = [
CopilotChatMessage(role="user", content="hello"),
CopilotChatMessage(role="assistant", content="hi there"),
]
session = await upsert_chat_session(session)
# Ensure the session is in cache
cached = await get_chat_session(session.session_id, test_user_id)
assert cached is not None
assert cached.messages[-1].duration_ms is None
# Update turn duration — should patch cache in-place
await set_turn_duration(session.session_id, 1234)
# Read from cache (not DB) — the cache should already have the update
updated = await get_chat_session(session.session_id, test_user_id)
assert updated is not None
assistant_msgs = [m for m in updated.messages if m.role == "assistant"]
assert len(assistant_msgs) == 1
assert assistant_msgs[0].duration_ms == 1234
@pytest.mark.asyncio(loop_scope="session")
async def test_set_turn_duration_no_assistant_message(setup_test_user, test_user_id):
"""set_turn_duration is a no-op when there are no assistant messages."""
session = ChatSession.new(user_id=test_user_id, dry_run=False)
session.messages = [
CopilotChatMessage(role="user", content="hello"),
]
session = await upsert_chat_session(session)
# Should not raise
await set_turn_duration(session.session_id, 5678)
cached = await get_chat_session(session.session_id, test_user_id)
assert cached is not None
# User message should not have durationMs
assert cached.messages[0].duration_ms is None
# ---------- update_message_content_by_sequence ----------
@pytest.mark.asyncio
async def test_update_message_content_by_sequence_success():
"""Returns True when update_many reports exactly one row updated."""
with (
patch.object(PrismaChatMessage, "prisma") as mock_prisma,
patch("backend.copilot.db.sanitize_string", side_effect=lambda x: x),
):
mock_prisma.return_value.update_many = AsyncMock(return_value=1)
result = await update_message_content_by_sequence("sess-1", 0, "new content")
assert result is True
mock_prisma.return_value.update_many.assert_called_once_with(
where={"sessionId": "sess-1", "sequence": 0},
data={"content": "new content"},
)
@pytest.mark.asyncio
async def test_update_message_content_by_sequence_not_found():
"""Returns False and logs a warning when no rows are updated."""
with (
patch.object(PrismaChatMessage, "prisma") as mock_prisma,
patch("backend.copilot.db.logger") as mock_logger,
):
mock_prisma.return_value.update_many = AsyncMock(return_value=0)
result = await update_message_content_by_sequence("sess-1", 99, "content")
assert result is False
mock_logger.warning.assert_called_once()
@pytest.mark.asyncio
async def test_update_message_content_by_sequence_db_error():
"""Returns False and logs an error when the DB raises an exception."""
with (
patch.object(PrismaChatMessage, "prisma") as mock_prisma,
patch("backend.copilot.db.logger") as mock_logger,
):
mock_prisma.return_value.update_many = AsyncMock(
side_effect=RuntimeError("db error")
)
result = await update_message_content_by_sequence("sess-1", 0, "content")
assert result is False
mock_logger.error.assert_called_once()
@pytest.mark.asyncio
async def test_update_message_content_by_sequence_multi_row_logs_error():
"""Returns True but logs an error when update_many touches more than one row."""
with (
patch.object(PrismaChatMessage, "prisma") as mock_prisma,
patch("backend.copilot.db.logger") as mock_logger,
):
mock_prisma.return_value.update_many = AsyncMock(return_value=2)
result = await update_message_content_by_sequence("sess-1", 0, "content")
assert result is True
mock_logger.error.assert_called_once()
@pytest.mark.asyncio
async def test_update_message_content_by_sequence_sanitizes_content():
"""Verifies sanitize_string is applied to content before the DB write."""
with (
patch.object(PrismaChatMessage, "prisma") as mock_prisma,
patch(
"backend.copilot.db.sanitize_string", return_value="sanitized"
) as mock_sanitize,
):
mock_prisma.return_value.update_many = AsyncMock(return_value=1)
await update_message_content_by_sequence("sess-1", 0, "raw content")
mock_sanitize.assert_called_once_with("raw content")
mock_prisma.return_value.update_many.assert_called_once_with(
where={"sessionId": "sess-1", "sequence": 0},
data={"content": "sanitized"},
)

View File

@@ -34,6 +34,7 @@ from .utils import (
CancelCoPilotEvent,
CoPilotExecutionEntry,
create_copilot_queue_config,
get_session_lock_key,
)
logger = TruncatedLogger(logging.getLogger(__name__), prefix="[CoPilotExecutor]")
@@ -366,7 +367,7 @@ class CoPilotExecutor(AppProcess):
# Try to acquire cluster-wide lock
cluster_lock = ClusterLock(
redis=redis.get_redis(),
key=f"copilot:session:{session_id}:lock",
key=get_session_lock_key(session_id),
owner_id=self.executor_id,
timeout=settings.config.cluster_lock_timeout,
)

View File

@@ -13,7 +13,7 @@ import time
from backend.copilot import stream_registry
from backend.copilot.baseline import stream_chat_completion_baseline
from backend.copilot.config import ChatConfig
from backend.copilot.config import ChatConfig, CopilotMode
from backend.copilot.response_model import StreamError
from backend.copilot.sdk import service as sdk_service
from backend.copilot.sdk.dummy import stream_chat_completion_dummy
@@ -30,6 +30,57 @@ from .utils import CoPilotExecutionEntry, CoPilotLogMetadata
logger = TruncatedLogger(logging.getLogger(__name__), prefix="[CoPilotExecutor]")
# ============ Mode Routing ============ #
async def resolve_effective_mode(
mode: CopilotMode | None,
user_id: str | None,
) -> CopilotMode | None:
"""Strip ``mode`` when the user is not entitled to the toggle.
The UI gates the mode toggle behind ``CHAT_MODE_OPTION``; the
processor enforces the same gate server-side so an authenticated
user cannot bypass the flag by crafting a request directly.
"""
if mode is None:
return None
allowed = await is_feature_enabled(
Flag.CHAT_MODE_OPTION,
user_id or "anonymous",
default=False,
)
if not allowed:
logger.info(f"Ignoring mode={mode} — CHAT_MODE_OPTION is disabled for user")
return None
return mode
async def resolve_use_sdk_for_mode(
mode: CopilotMode | None,
user_id: str | None,
*,
use_claude_code_subscription: bool,
config_default: bool,
) -> bool:
"""Pick the SDK vs baseline path for a single turn.
Per-request ``mode`` wins whenever it is set (after the
``CHAT_MODE_OPTION`` gate has been applied upstream). Otherwise
falls back to the Claude Code subscription override, then the
``COPILOT_SDK`` LaunchDarkly flag, then the config default.
"""
if mode == "fast":
return False
if mode == "extended_thinking":
return True
return use_claude_code_subscription or await is_feature_enabled(
Flag.COPILOT_SDK,
user_id or "anonymous",
default=config_default,
)
# ============ Module Entry Points ============ #
# Thread-local storage for processor instances
@@ -100,8 +151,8 @@ class CoPilotProcessor:
This method is called once per worker thread to set up the async event
loop and initialize any required resources.
Database is accessed only through DatabaseManager, so we don't need to connect
to Prisma directly.
DB operations route through DatabaseManagerAsyncClient (RPC) via the
db_accessors pattern — no direct Prisma connection is needed here.
"""
configure_logging()
set_service_name("CoPilotExecutor")
@@ -118,18 +169,36 @@ class CoPilotProcessor:
# Pre-warm the bundled CLI binary so the OS page-caches the ~185 MB
# executable. First spawn pays ~1.2 s; subsequent spawns ~0.65 s.
self._prewarm_cli()
# Read cli_path directly from env here so _prewarm_cli does not have
# to construct a ChatConfig() (which can raise and abort the worker).
# Priority: CHAT_CLAUDE_AGENT_CLI_PATH (prefixed) first, then
# CLAUDE_AGENT_CLI_PATH (unprefixed) — matches config.py's validator
# order so both paths resolve to the same binary.
cli_path = os.getenv("CHAT_CLAUDE_AGENT_CLI_PATH") or os.getenv(
"CLAUDE_AGENT_CLI_PATH"
)
self._prewarm_cli(cli_path=cli_path or None)
logger.info(f"[CoPilotExecutor] Worker {self.tid} started")
def _prewarm_cli(self) -> None:
"""Run the bundled CLI binary once to warm OS page caches."""
try:
from claude_agent_sdk._internal.transport.subprocess_cli import (
SubprocessCLITransport,
)
def _prewarm_cli(self, cli_path: str | None = None) -> None:
"""Run the Claude Code CLI binary once to warm OS page caches.
cli_path = SubprocessCLITransport._find_bundled_cli(None) # type: ignore[arg-type]
Accepts an explicit ``cli_path`` so the caller can pass the value
already resolved at startup rather than constructing a full
``ChatConfig()`` here (which reads env vars, runs validators, and
can raise — aborting the worker prewarm silently). Falls back to
the ``CLAUDE_AGENT_CLI_PATH`` / ``CHAT_CLAUDE_AGENT_CLI_PATH`` env
vars (same precedence as ``ChatConfig``), and then to the SDK's
bundled binary when neither is set.
"""
try:
if not cli_path:
from claude_agent_sdk._internal.transport.subprocess_cli import (
SubprocessCLITransport,
)
cli_path = SubprocessCLITransport._find_bundled_cli(None) # type: ignore[arg-type]
if cli_path:
result = subprocess.run(
[cli_path, "-v"],
@@ -153,6 +222,10 @@ class CoPilotProcessor:
Shuts down the workspace storage instance that belongs to this
worker's event loop, ensuring ``aiohttp.ClientSession.close()``
runs on the same loop that created the session.
Sub-AutoPilots are enqueued on the copilot_execution queue, so
rolling deploys survive via RabbitMQ redelivery — no bespoke
shutdown notifier needed.
"""
coro = shutdown_workspace_storage()
try:
@@ -250,25 +323,32 @@ class CoPilotProcessor:
if config.test_mode:
stream_fn = stream_chat_completion_dummy
log.warning("Using DUMMY service (CHAT_TEST_MODE=true)")
effective_mode = None
else:
use_sdk = (
config.use_claude_code_subscription
or await is_feature_enabled(
Flag.COPILOT_SDK,
entry.user_id or "anonymous",
default=config.use_claude_agent_sdk,
)
# Enforce server-side feature-flag gate so unauthorised
# users cannot force a mode by crafting the request.
effective_mode = await resolve_effective_mode(entry.mode, entry.user_id)
use_sdk = await resolve_use_sdk_for_mode(
effective_mode,
entry.user_id,
use_claude_code_subscription=config.use_claude_code_subscription,
config_default=config.use_claude_agent_sdk,
)
stream_fn = (
sdk_service.stream_chat_completion_sdk
if use_sdk
else stream_chat_completion_baseline
)
log.info(f"Using {'SDK' if use_sdk else 'baseline'} service")
log.info(
f"Using {'SDK' if use_sdk else 'baseline'} service "
f"(mode={effective_mode or 'default'})"
)
# Stream chat completion and publish chunks to Redis.
# stream_and_publish wraps the raw stream with registry
# publishing (shared with collect_copilot_response).
# publishing so subscribers on the session Redis stream
# (e.g. wait_for_session_result, SSE clients) receive the
# same events as they are produced.
raw_stream = stream_fn(
session_id=entry.session_id,
message=entry.message if entry.message else None,
@@ -276,27 +356,39 @@ class CoPilotProcessor:
user_id=entry.user_id,
context=entry.context,
file_ids=entry.file_ids,
mode=effective_mode,
model=entry.model,
permissions=entry.permissions,
request_arrival_at=entry.request_arrival_at,
)
async for chunk in stream_registry.stream_and_publish(
published_stream = stream_registry.stream_and_publish(
session_id=entry.session_id,
turn_id=entry.turn_id,
stream=raw_stream,
):
if cancel.is_set():
log.info("Cancel requested, breaking stream")
break
)
# Explicit aclose() on early exit: ``async for … break`` does
# not close the generator, so GeneratorExit would never reach
# stream_chat_completion_sdk, leaving its stream lock held
# until GC eventually runs.
try:
async for chunk in published_stream:
if cancel.is_set():
log.info("Cancel requested, breaking stream")
break
# Capture StreamError so mark_session_completed receives
# the error message (stream_and_publish yields but does
# not publish StreamError — that's done by mark_session_completed).
if isinstance(chunk, StreamError):
error_msg = chunk.errorText
break
# Capture StreamError so mark_session_completed receives
# the error message (stream_and_publish yields but does
# not publish StreamError — that's done by mark_session_completed).
if isinstance(chunk, StreamError):
error_msg = chunk.errorText
break
current_time = time.monotonic()
if current_time - last_refresh >= refresh_interval:
cluster_lock.refresh()
last_refresh = current_time
current_time = time.monotonic()
if current_time - last_refresh >= refresh_interval:
cluster_lock.refresh()
last_refresh = current_time
finally:
await published_stream.aclose()
# Stream loop completed
if cancel.is_set():

View File

@@ -0,0 +1,277 @@
"""Unit tests for CoPilot mode routing logic in the processor.
Tests cover the mode→service mapping:
- 'fast' → baseline service
- 'extended_thinking' → SDK service
- None → feature flag / config fallback
as well as the ``CHAT_MODE_OPTION`` server-side gate. The tests import
the real production helpers from ``processor.py`` so the routing logic
has meaningful coverage.
"""
import logging
import threading
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from backend.copilot.executor.processor import (
CoPilotProcessor,
resolve_effective_mode,
resolve_use_sdk_for_mode,
)
from backend.copilot.executor.utils import CoPilotExecutionEntry, CoPilotLogMetadata
class TestResolveUseSdkForMode:
"""Tests for the per-request mode routing logic."""
@pytest.mark.asyncio
async def test_fast_mode_uses_baseline(self):
"""mode='fast' always routes to baseline, regardless of flags."""
with patch(
"backend.copilot.executor.processor.is_feature_enabled",
new=AsyncMock(return_value=True),
):
assert (
await resolve_use_sdk_for_mode(
"fast",
"user-1",
use_claude_code_subscription=True,
config_default=True,
)
is False
)
@pytest.mark.asyncio
async def test_extended_thinking_uses_sdk(self):
"""mode='extended_thinking' always routes to SDK, regardless of flags."""
with patch(
"backend.copilot.executor.processor.is_feature_enabled",
new=AsyncMock(return_value=False),
):
assert (
await resolve_use_sdk_for_mode(
"extended_thinking",
"user-1",
use_claude_code_subscription=False,
config_default=False,
)
is True
)
@pytest.mark.asyncio
async def test_none_mode_uses_subscription_override(self):
"""mode=None with claude_code_subscription=True routes to SDK."""
with patch(
"backend.copilot.executor.processor.is_feature_enabled",
new=AsyncMock(return_value=False),
):
assert (
await resolve_use_sdk_for_mode(
None,
"user-1",
use_claude_code_subscription=True,
config_default=False,
)
is True
)
@pytest.mark.asyncio
async def test_none_mode_uses_feature_flag(self):
"""mode=None with feature flag enabled routes to SDK."""
with patch(
"backend.copilot.executor.processor.is_feature_enabled",
new=AsyncMock(return_value=True),
) as flag_mock:
assert (
await resolve_use_sdk_for_mode(
None,
"user-1",
use_claude_code_subscription=False,
config_default=False,
)
is True
)
flag_mock.assert_awaited_once()
@pytest.mark.asyncio
async def test_none_mode_uses_config_default(self):
"""mode=None falls back to config.use_claude_agent_sdk."""
# When LaunchDarkly returns the default (True), we expect SDK routing.
with patch(
"backend.copilot.executor.processor.is_feature_enabled",
new=AsyncMock(return_value=True),
):
assert (
await resolve_use_sdk_for_mode(
None,
"user-1",
use_claude_code_subscription=False,
config_default=True,
)
is True
)
@pytest.mark.asyncio
async def test_none_mode_all_disabled(self):
"""mode=None with all flags off routes to baseline."""
with patch(
"backend.copilot.executor.processor.is_feature_enabled",
new=AsyncMock(return_value=False),
):
assert (
await resolve_use_sdk_for_mode(
None,
"user-1",
use_claude_code_subscription=False,
config_default=False,
)
is False
)
class TestResolveEffectiveMode:
"""Tests for the CHAT_MODE_OPTION server-side gate."""
@pytest.mark.asyncio
async def test_none_mode_passes_through(self):
"""mode=None is returned as-is without a flag check."""
with patch(
"backend.copilot.executor.processor.is_feature_enabled",
new=AsyncMock(return_value=False),
) as flag_mock:
assert await resolve_effective_mode(None, "user-1") is None
flag_mock.assert_not_awaited()
@pytest.mark.asyncio
async def test_mode_stripped_when_flag_disabled(self):
"""When CHAT_MODE_OPTION is off, mode is dropped to None."""
with patch(
"backend.copilot.executor.processor.is_feature_enabled",
new=AsyncMock(return_value=False),
):
assert await resolve_effective_mode("fast", "user-1") is None
assert await resolve_effective_mode("extended_thinking", "user-1") is None
@pytest.mark.asyncio
async def test_mode_preserved_when_flag_enabled(self):
"""When CHAT_MODE_OPTION is on, the user-selected mode is preserved."""
with patch(
"backend.copilot.executor.processor.is_feature_enabled",
new=AsyncMock(return_value=True),
):
assert await resolve_effective_mode("fast", "user-1") == "fast"
assert (
await resolve_effective_mode("extended_thinking", "user-1")
== "extended_thinking"
)
@pytest.mark.asyncio
async def test_anonymous_user_with_mode(self):
"""Anonymous users (user_id=None) still pass through the gate."""
with patch(
"backend.copilot.executor.processor.is_feature_enabled",
new=AsyncMock(return_value=False),
) as flag_mock:
assert await resolve_effective_mode("fast", None) is None
flag_mock.assert_awaited_once()
# ---------------------------------------------------------------------------
# _execute_async aclose propagation
# ---------------------------------------------------------------------------
class _TrackedStream:
"""Minimal async-generator stand-in that records whether ``aclose``
was called, so tests can verify the processor forces explicit cleanup
of the published stream on every exit path (normal + break on cancel)."""
def __init__(self, events: list):
self._events = events
self.aclose_called = False
def __aiter__(self):
return self
async def __anext__(self):
if not self._events:
raise StopAsyncIteration
return self._events.pop(0)
async def aclose(self) -> None:
self.aclose_called = True
def _make_entry() -> CoPilotExecutionEntry:
return CoPilotExecutionEntry(
session_id="sess-1",
turn_id="turn-1",
user_id="user-1",
message="hi",
is_user_message=True,
request_arrival_at=0.0,
)
def _make_log() -> CoPilotLogMetadata:
return CoPilotLogMetadata(logger=logging.getLogger("test-copilot"))
class TestExecuteAsyncAclose:
"""``_execute_async`` must call ``aclose`` on the published stream both
when the loop exits naturally and when ``cancel`` is set mid-stream —
otherwise ``stream_chat_completion_sdk`` stays suspended and keeps
holding the per-session Redis lock until GC."""
def _patches(self, published_stream: _TrackedStream):
"""Shared mock context: patches every dependency ``_execute_async``
touches so the aclose path is the only behaviour under test."""
return [
patch(
"backend.copilot.executor.processor.ChatConfig",
return_value=MagicMock(test_mode=True, use_claude_agent_sdk=True),
),
patch(
"backend.copilot.executor.processor.stream_chat_completion_dummy",
return_value=MagicMock(),
),
patch(
"backend.copilot.executor.processor.stream_registry.stream_and_publish",
return_value=published_stream,
),
patch(
"backend.copilot.executor.processor.stream_registry.mark_session_completed",
new=AsyncMock(),
),
]
@pytest.mark.asyncio
async def test_normal_exit_calls_aclose(self) -> None:
published = _TrackedStream(events=[MagicMock(), MagicMock()])
proc = CoPilotProcessor()
cancel = threading.Event()
cluster_lock = MagicMock()
patches = self._patches(published)
with patches[0], patches[1], patches[2], patches[3]:
await proc._execute_async(_make_entry(), cancel, cluster_lock, _make_log())
assert published.aclose_called is True
@pytest.mark.asyncio
async def test_cancel_break_calls_aclose(self) -> None:
events = [MagicMock()] # first chunk delivered, then cancel fires
published = _TrackedStream(events=events)
proc = CoPilotProcessor()
cancel = threading.Event()
cancel.set() # pre-set so the loop breaks on the first chunk
cluster_lock = MagicMock()
patches = self._patches(published)
with patches[0], patches[1], patches[2], patches[3]:
await proc._execute_async(_make_entry(), cancel, cluster_lock, _make_log())
assert published.aclose_called is True

View File

@@ -9,6 +9,8 @@ import logging
from pydantic import BaseModel
from backend.copilot.config import CopilotLlmModel, CopilotMode
from backend.copilot.permissions import CopilotPermissions
from backend.data.rabbitmq import Exchange, ExchangeType, Queue, RabbitMQConfig
from backend.util.logging import TruncatedLogger, is_structured_logging_enabled
@@ -80,6 +82,12 @@ COPILOT_CANCEL_EXCHANGE = Exchange(
)
COPILOT_CANCEL_QUEUE_NAME = "copilot_cancel_queue"
def get_session_lock_key(session_id: str) -> str:
"""Redis key for the per-session cluster lock held by the executing pod."""
return f"copilot:session:{session_id}:lock"
# CoPilot operations can include extended thinking and agent generation
# which may take 30+ minutes to complete
COPILOT_CONSUMER_TIMEOUT_SECONDS = 60 * 60 # 1 hour
@@ -156,6 +164,26 @@ class CoPilotExecutionEntry(BaseModel):
file_ids: list[str] | None = None
"""Workspace file IDs attached to the user's message"""
mode: CopilotMode | None = None
"""Autopilot mode override: 'fast' or 'extended_thinking'. None = server default."""
model: CopilotLlmModel | None = None
"""Per-request model tier: 'standard' or 'advanced'. None = server default."""
permissions: CopilotPermissions | None = None
"""Capability filter inherited from a parent run (e.g. ``run_sub_session``
forwards its parent's permissions so the sub can't escalate). ``None``
means the worker applies no filter."""
request_arrival_at: float = 0.0
"""Unix-epoch seconds (server clock) when the originating HTTP
``/stream`` request arrived. The executor's turn-start drain uses
this to decide whether each pending message was typed BEFORE or AFTER
the turn's ``current`` message, and orders the combined user bubble
chronologically. Defaults to ``0.0`` for backward compatibility with
queue messages written before this field existed (they sort as "all
pending before current" — the pre-fix behaviour)."""
class CancelCoPilotEvent(BaseModel):
"""Event to cancel a CoPilot operation."""
@@ -175,6 +203,10 @@ async def enqueue_copilot_turn(
is_user_message: bool = True,
context: dict[str, str] | None = None,
file_ids: list[str] | None = None,
mode: CopilotMode | None = None,
model: CopilotLlmModel | None = None,
permissions: CopilotPermissions | None = None,
request_arrival_at: float = 0.0,
) -> None:
"""Enqueue a CoPilot task for processing by the executor service.
@@ -186,6 +218,10 @@ async def enqueue_copilot_turn(
is_user_message: Whether the message is from the user (vs system/assistant)
context: Optional context for the message (e.g., {url: str, content: str})
file_ids: Optional workspace file IDs attached to the user's message
mode: Autopilot mode override ('fast' or 'extended_thinking'). None = server default.
model: Per-request model tier ('standard' or 'advanced'). None = server default.
permissions: Capability filter inherited from a parent run (sub-AutoPilot).
None = no filter.
"""
from backend.util.clients import get_async_copilot_queue
@@ -197,6 +233,10 @@ async def enqueue_copilot_turn(
is_user_message=is_user_message,
context=context,
file_ids=file_ids,
mode=mode,
model=model,
permissions=permissions,
request_arrival_at=request_arrival_at,
)
queue_client = await get_async_copilot_queue()

View File

@@ -0,0 +1,123 @@
"""Tests for CoPilot executor utils (queue config, message models, logging)."""
from backend.copilot.executor.utils import (
COPILOT_EXECUTION_EXCHANGE,
COPILOT_EXECUTION_QUEUE_NAME,
COPILOT_EXECUTION_ROUTING_KEY,
CancelCoPilotEvent,
CoPilotExecutionEntry,
CoPilotLogMetadata,
create_copilot_queue_config,
)
class TestCoPilotExecutionEntry:
def test_basic_fields(self):
entry = CoPilotExecutionEntry(
session_id="s1",
user_id="u1",
message="hello",
)
assert entry.session_id == "s1"
assert entry.user_id == "u1"
assert entry.message == "hello"
assert entry.is_user_message is True
assert entry.mode is None
assert entry.context is None
assert entry.file_ids is None
def test_mode_field(self):
entry = CoPilotExecutionEntry(
session_id="s1",
user_id="u1",
message="test",
mode="fast",
)
assert entry.mode == "fast"
entry2 = CoPilotExecutionEntry(
session_id="s1",
user_id="u1",
message="test",
mode="extended_thinking",
)
assert entry2.mode == "extended_thinking"
def test_optional_fields(self):
entry = CoPilotExecutionEntry(
session_id="s1",
user_id="u1",
message="test",
turn_id="t1",
context={"url": "https://example.com"},
file_ids=["f1", "f2"],
is_user_message=False,
)
assert entry.turn_id == "t1"
assert entry.context == {"url": "https://example.com"}
assert entry.file_ids == ["f1", "f2"]
assert entry.is_user_message is False
def test_serialization_roundtrip(self):
entry = CoPilotExecutionEntry(
session_id="s1",
user_id="u1",
message="hello",
mode="fast",
)
json_str = entry.model_dump_json()
restored = CoPilotExecutionEntry.model_validate_json(json_str)
assert restored == entry
class TestCancelCoPilotEvent:
def test_basic(self):
event = CancelCoPilotEvent(session_id="s1")
assert event.session_id == "s1"
def test_serialization(self):
event = CancelCoPilotEvent(session_id="s1")
restored = CancelCoPilotEvent.model_validate_json(event.model_dump_json())
assert restored.session_id == "s1"
class TestCreateCopilotQueueConfig:
def test_returns_valid_config(self):
config = create_copilot_queue_config()
assert len(config.exchanges) == 2
assert len(config.queues) == 2
def test_execution_queue_properties(self):
config = create_copilot_queue_config()
exec_queue = next(
q for q in config.queues if q.name == COPILOT_EXECUTION_QUEUE_NAME
)
assert exec_queue.durable is True
assert exec_queue.exchange == COPILOT_EXECUTION_EXCHANGE
assert exec_queue.routing_key == COPILOT_EXECUTION_ROUTING_KEY
def test_cancel_queue_uses_fanout(self):
config = create_copilot_queue_config()
cancel_queue = next(
q for q in config.queues if q.name != COPILOT_EXECUTION_QUEUE_NAME
)
assert cancel_queue.exchange is not None
assert cancel_queue.exchange.type.value == "fanout"
class TestCoPilotLogMetadata:
def test_creates_logger_with_metadata(self):
import logging
base_logger = logging.getLogger("test")
log = CoPilotLogMetadata(base_logger, session_id="s1", user_id="u1")
assert log is not None
def test_filters_none_values(self):
import logging
base_logger = logging.getLogger("test")
log = CoPilotLogMetadata(
base_logger, session_id="s1", user_id=None, turn_id="t1"
)
assert log is not None

View File

@@ -0,0 +1,197 @@
# Graphiti Memory
This directory contains the Graphiti-backed memory integration for CoPilot.
This file is developer documentation only — it is NOT injected into LLM prompts.
Runtime prompt instructions live in `prompting.py:get_graphiti_supplement()`.
## Scope
- Keep Graphiti and FalkorDB-specific logic in this package.
- Prefer changes here over scattering Graphiti behavior across unrelated copilot modules.
## Debugging
- Use raw FalkorDB queries to inspect stored nodes, episodes, and `RELATES_TO` facts before changing retrieval behavior.
- Distinguish user-provided facts, assistant-generated findings, and provenance/meta entities when evaluating memory quality.
## Design Intent
- Preserve per-user isolation through `group_id`-scoped databases and clients.
- Be careful about memory pollution from assistant/tool phrasing; extraction quality matters as much as ingestion success.
- Keep warm-context and tool-driven recall resilient: failures should degrade gracefully rather than break chat execution.
## Query Cookbook
Run everything from `autogpt_platform/backend` and use `poetry run ...`.
Get the `group_id` for a user:
```bash
poetry run python - <<'PY'
from backend.copilot.graphiti.client import derive_group_id
print(derive_group_id("883cc9da-fe37-4863-839b-acba022bf3ef"))
PY
```
Inspect graph counts:
```bash
poetry run python - <<'PY'
import asyncio
from backend.copilot.graphiti.client import derive_group_id
from backend.copilot.graphiti.config import graphiti_config
from backend.copilot.graphiti.falkordb_driver import AutoGPTFalkorDriver
USER_ID = "883cc9da-fe37-4863-839b-acba022bf3ef"
GROUP_ID = derive_group_id(USER_ID)
QUERIES = {
"entities": "MATCH (n:Entity) RETURN count(n) AS count",
"episodes": "MATCH (n:Episodic) RETURN count(n) AS count",
"communities": "MATCH (n:Community) RETURN count(n) AS count",
"relates_to_edges": "MATCH ()-[e:RELATES_TO]->() RETURN count(e) AS count",
}
async def run():
driver = AutoGPTFalkorDriver(
host=graphiti_config.falkordb_host,
port=graphiti_config.falkordb_port,
password=graphiti_config.falkordb_password or None,
database=GROUP_ID,
)
try:
for name, query in QUERIES.items():
records, _, _ = await driver.execute_query(query)
print(name, records[0]["count"])
finally:
await driver.close()
asyncio.run(run())
PY
```
List entities or relation-name counts:
```bash
poetry run python - <<'PY'
import asyncio
from backend.copilot.graphiti.client import derive_group_id
from backend.copilot.graphiti.config import graphiti_config
from backend.copilot.graphiti.falkordb_driver import AutoGPTFalkorDriver
USER_ID = "883cc9da-fe37-4863-839b-acba022bf3ef"
GROUP_ID = derive_group_id(USER_ID)
async def run():
driver = AutoGPTFalkorDriver(
host=graphiti_config.falkordb_host,
port=graphiti_config.falkordb_port,
password=graphiti_config.falkordb_password or None,
database=GROUP_ID,
)
try:
records, _, _ = await driver.execute_query(
"MATCH (n:Entity) RETURN n.name AS name, n.summary AS summary ORDER BY n.name"
)
print("## entities")
for row in records:
print(row)
records, _, _ = await driver.execute_query(
"""
MATCH ()-[e:RELATES_TO]->()
RETURN e.name AS relation, count(e) AS count
ORDER BY count DESC, relation
"""
)
print("\\n## relation_counts")
for row in records:
print(row)
finally:
await driver.close()
asyncio.run(run())
PY
```
Inspect facts around one node:
```bash
poetry run python - <<'PY'
import asyncio
from backend.copilot.graphiti.client import derive_group_id
from backend.copilot.graphiti.config import graphiti_config
from backend.copilot.graphiti.falkordb_driver import AutoGPTFalkorDriver
USER_ID = "883cc9da-fe37-4863-839b-acba022bf3ef"
GROUP_ID = derive_group_id(USER_ID)
TARGET = "sarah"
async def run():
driver = AutoGPTFalkorDriver(
host=graphiti_config.falkordb_host,
port=graphiti_config.falkordb_port,
password=graphiti_config.falkordb_password or None,
database=GROUP_ID,
)
try:
records, _, _ = await driver.execute_query(
"""
MATCH (a)-[e:RELATES_TO]->(b)
WHERE (exists(a.name) AND toLower(a.name) = $target)
OR (exists(b.name) AND toLower(b.name) = $target)
RETURN a.name AS source, e.name AS relation, e.fact AS fact, b.name AS target
ORDER BY e.created_at
""",
target=TARGET,
)
for row in records:
print(row)
finally:
await driver.close()
asyncio.run(run())
PY
```
Inspect all chat messages for a user:
```bash
poetry run python - <<'PY'
import asyncio
from prisma import Prisma
USER_ID = "883cc9da-fe37-4863-839b-acba022bf3ef"
async def run():
db = Prisma()
await db.connect()
try:
rows = await db.query_raw(
'''
select cm."sessionId" as session_id,
cm.sequence,
cm.role,
left(cm.content, 260) as content,
cm."createdAt" as created_at
from "ChatMessage" cm
join "ChatSession" cs on cs.id = cm."sessionId"
where cs."userId" = $1
order by cm."createdAt", cm.sequence
''',
USER_ID,
)
for row in rows:
print(row)
finally:
await db.disconnect()
asyncio.run(run())
PY
```
Notes:
- `RELATES_TO` edges hold semantic facts. Inspect `e.name` and `e.fact`.
- `MENTIONS` edges are provenance from episodes to extracted nodes.
- Prefer directed queries `->` when checking for duplicates; undirected matches double-count mirrored edges.

View File

@@ -0,0 +1 @@
@AGENTS.md

View File

@@ -0,0 +1 @@
"""Graphiti temporal knowledge graph memory for AutoPilot."""

View File

@@ -0,0 +1,43 @@
"""Shared attribute-resolution helpers for Graphiti edge/episode objects.
graphiti-core edge and episode objects have varying attribute names across
versions. These helpers centralise the fallback chains so there's one place
to update when upstream changes an attribute name.
"""
def extract_fact(edge) -> str:
"""Extract the human-readable fact from an edge object."""
return getattr(edge, "fact", None) or getattr(edge, "name", "") or ""
def extract_temporal_validity(edge) -> tuple[str, str]:
"""Return ``(valid_from, valid_to)`` for an edge."""
valid_from = getattr(edge, "valid_at", None) or "unknown"
valid_to = getattr(edge, "invalid_at", None) or "present"
return str(valid_from), str(valid_to)
def extract_episode_body_raw(episode) -> str:
"""Extract the full body text from an episode object (no truncation).
Use this when the body needs to be parsed as JSON (e.g. scope filtering
on MemoryEnvelope payloads). For display purposes, use
``extract_episode_body()`` which truncates.
"""
return str(
getattr(episode, "content", None)
or getattr(episode, "body", None)
or getattr(episode, "episode_body", None)
or ""
)
def extract_episode_body(episode, max_len: int = 500) -> str:
"""Extract the body text from an episode object, truncated to *max_len*."""
return extract_episode_body_raw(episode)[:max_len]
def extract_episode_timestamp(episode) -> str:
"""Extract the created_at timestamp from an episode object."""
return str(getattr(episode, "created_at", None) or "")

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@@ -0,0 +1,90 @@
"""Tests for shared attribute-resolution helpers."""
from types import SimpleNamespace
from backend.copilot.graphiti._format import (
extract_episode_body,
extract_episode_timestamp,
extract_fact,
extract_temporal_validity,
)
def test_extract_fact_prefers_fact_attribute() -> None:
edge = SimpleNamespace(fact="user likes python", name="preference")
assert extract_fact(edge) == "user likes python"
def test_extract_fact_falls_back_to_name() -> None:
edge = SimpleNamespace(name="preference")
assert extract_fact(edge) == "preference"
def test_extract_fact_handles_none_fact() -> None:
edge = SimpleNamespace(fact=None, name="fallback")
assert extract_fact(edge) == "fallback"
def test_extract_fact_handles_missing_both() -> None:
edge = SimpleNamespace()
assert extract_fact(edge) == ""
def test_extract_temporal_validity_with_values() -> None:
edge = SimpleNamespace(valid_at="2025-01-01", invalid_at="2025-12-31")
assert extract_temporal_validity(edge) == ("2025-01-01", "2025-12-31")
def test_extract_temporal_validity_defaults() -> None:
edge = SimpleNamespace()
assert extract_temporal_validity(edge) == ("unknown", "present")
def test_extract_temporal_validity_none_values() -> None:
edge = SimpleNamespace(valid_at=None, invalid_at=None)
assert extract_temporal_validity(edge) == ("unknown", "present")
def test_extract_episode_body_prefers_content() -> None:
ep = SimpleNamespace(content="hello world", body="alt", episode_body="alt2")
assert extract_episode_body(ep) == "hello world"
def test_extract_episode_body_falls_back_to_body() -> None:
ep = SimpleNamespace(body="fallback body")
assert extract_episode_body(ep) == "fallback body"
def test_extract_episode_body_falls_back_to_episode_body() -> None:
ep = SimpleNamespace(episode_body="last resort")
assert extract_episode_body(ep) == "last resort"
def test_extract_episode_body_handles_none_all() -> None:
ep = SimpleNamespace(content=None, body=None, episode_body=None)
assert extract_episode_body(ep) == ""
def test_extract_episode_body_truncates() -> None:
ep = SimpleNamespace(content="x" * 1000)
assert len(extract_episode_body(ep)) == 500
def test_extract_episode_body_custom_max_len() -> None:
ep = SimpleNamespace(content="x" * 100)
assert len(extract_episode_body(ep, max_len=10)) == 10
def test_extract_episode_timestamp_with_value() -> None:
ep = SimpleNamespace(created_at="2025-01-01T00:00:00Z")
assert extract_episode_timestamp(ep) == "2025-01-01T00:00:00Z"
def test_extract_episode_timestamp_missing() -> None:
ep = SimpleNamespace()
assert extract_episode_timestamp(ep) == ""
def test_extract_episode_timestamp_none() -> None:
ep = SimpleNamespace(created_at=None)
assert extract_episode_timestamp(ep) == ""

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"""Graphiti client management with per-group_id isolation and LRU caching."""
import asyncio
import logging
import re
import weakref
from cachetools import TTLCache
from .config import graphiti_config
logger = logging.getLogger(__name__)
_GROUP_ID_PATTERN = re.compile(r"^[a-zA-Z0-9_-]+$")
_MAX_GROUP_ID_LEN = 128
# Graphiti clients wrap redis.asyncio connections whose internal Futures are
# pinned to the event loop they were first used on. The CoPilot executor runs
# one asyncio loop per worker thread, so a process-wide client cache would
# hand a loop-1-bound connection to a task running on loop 2 → RuntimeError
# "got Future attached to a different loop". Scope the cache (and its lock)
# per running loop so each loop gets its own clients.
class _LoopState:
__slots__ = ("cache", "lock")
def __init__(self) -> None:
self.cache: TTLCache = _EvictingTTLCache(
maxsize=graphiti_config.client_cache_maxsize,
ttl=graphiti_config.client_cache_ttl,
)
self.lock = asyncio.Lock()
_loop_state: "weakref.WeakKeyDictionary[asyncio.AbstractEventLoop, _LoopState]" = (
weakref.WeakKeyDictionary()
)
def _get_loop_state() -> _LoopState:
loop = asyncio.get_running_loop()
state = _loop_state.get(loop)
if state is None:
state = _LoopState()
_loop_state[loop] = state
return state
def derive_group_id(user_id: str) -> str:
"""Derive a deterministic, injection-safe group_id from a user_id.
Strips to ``[a-zA-Z0-9_-]``, enforces max length, and prefixes with
``user_``. Raises if sanitization changed the input.
"""
if not user_id:
raise ValueError("user_id must be non-empty to derive group_id")
safe_id = re.sub(r"[^a-zA-Z0-9_-]", "", user_id)[:_MAX_GROUP_ID_LEN]
if not safe_id:
raise ValueError(
f"user_id '{user_id[:32]}...' yields empty group_id after sanitization"
)
if safe_id != user_id:
raise ValueError(
f"user_id contains invalid characters for group_id derivation "
f"(original length={len(user_id)}, sanitized='{safe_id[:32]}'). "
f"Only [a-zA-Z0-9_-] are allowed."
)
group_id = f"user_{safe_id}"
if not _GROUP_ID_PATTERN.match(group_id):
raise ValueError(f"Generated group_id '{group_id}' fails validation")
return group_id
def _close_client_driver(client) -> None:
"""Best-effort close of a Graphiti client's graph driver.
Called on cache eviction (TTL expiry or manual pop) to prevent
leaked FalkorDB connections. Runs the async ``driver.close()``
in a fire-and-forget task if an event loop is running, otherwise
logs and moves on.
"""
driver = getattr(client, "graph_driver", None) or getattr(client, "driver", None)
if driver is None or not hasattr(driver, "close"):
return
try:
loop = asyncio.get_running_loop()
loop.create_task(driver.close())
except RuntimeError:
logger.debug("No running event loop — skipping driver.close() on eviction")
class _EvictingTTLCache(TTLCache):
"""TTLCache that closes Graphiti drivers on TTL expiry and capacity eviction.
Overrides ``expire()`` (not ``__delitem__``) per cachetools maintainer
guidance — ``expire()`` is the only hook that fires for TTL-expired items
since the internal expiry path uses ``Cache.__delitem__`` directly,
bypassing subclass overrides. ``popitem()`` handles capacity eviction.
See https://github.com/tkem/cachetools/issues/205.
"""
def expire(self, time=None):
expired = super().expire(time)
for _key, client in expired:
_close_client_driver(client)
return expired
def popitem(self):
key, client = super().popitem()
_close_client_driver(client)
return key, client
def _get_cache() -> TTLCache:
"""Return the client cache for the current running event loop."""
return _get_loop_state().cache
async def get_graphiti_client(group_id: str):
"""Return a Graphiti client scoped to the given group_id.
Each group_id gets its own ``Graphiti`` instance to prevent the
``self.driver`` mutation race condition when different groups are
accessed concurrently. Instances are cached with a TTL to bound
memory usage.
Returns a ``graphiti_core.Graphiti`` instance.
"""
from graphiti_core import Graphiti
from graphiti_core.embedder import OpenAIEmbedder, OpenAIEmbedderConfig
from graphiti_core.llm_client import LLMConfig, OpenAIClient
from .falkordb_driver import AutoGPTFalkorDriver
state = _get_loop_state()
cache = state.cache
async with state.lock:
if group_id in cache:
return cache[group_id]
llm_config = LLMConfig(
api_key=graphiti_config.resolve_llm_api_key(),
model=graphiti_config.llm_model,
small_model=graphiti_config.llm_model, # avoid gpt-4.1-nano dedup hallucination (#760)
base_url=graphiti_config.resolve_llm_base_url(),
)
llm_client = OpenAIClient(config=llm_config)
embedder_config = OpenAIEmbedderConfig(
api_key=graphiti_config.resolve_embedder_api_key(),
embedding_model=graphiti_config.embedder_model,
base_url=graphiti_config.resolve_embedder_base_url(),
)
embedder = OpenAIEmbedder(config=embedder_config)
graph_driver = AutoGPTFalkorDriver(
host=graphiti_config.falkordb_host,
port=graphiti_config.falkordb_port,
password=graphiti_config.falkordb_password or None,
database=group_id,
)
client = Graphiti(
llm_client=llm_client,
embedder=embedder,
graph_driver=graph_driver,
max_coroutines=graphiti_config.semaphore_limit,
)
cache[group_id] = client
return client
async def evict_client(group_id: str) -> None:
"""Remove a cached client and close its driver connection."""
cache = _get_cache()
# pop() may return None for expired or missing keys.
# _EvictingTTLCache.expire() handles TTL-expired cleanup separately.
client = cache.pop(group_id, None)
if client is not None:
driver = getattr(client, "graph_driver", None) or getattr(
client, "driver", None
)
if driver and hasattr(driver, "close"):
try:
await driver.close()
except Exception:
logger.debug("Failed to close driver for %s", group_id, exc_info=True)

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