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12 Commits

Author SHA1 Message Date
Otto (AGPT)
e9afd9fa01 fix: cast OnboardingStep enum to text in funnel view
The completedSteps column is a platform."OnboardingStep" enum array.
UNNEST produces enum values that can't be compared directly to text
from the VALUES clause. Adding ::text cast fixes the type mismatch.
2026-03-13 11:55:37 +00:00
Zamil Majdy
ddb4f6e9de fix(analytics): address second batch of PR review comments
- user_onboarding_funnel: build complete 22-step grid with VALUES CTE
  so zero-completion steps are always present, fixing LAG comparisons
  against wrong predecessors; update docs to reflect all 22 steps
- users_activities: use COUNT(DISTINCT "id") for agent_count to avoid
  counting multiple version rows per graph; add COALESCE(..., 0) for
  agent_count, unique_agent_runs, agent_runs; update docs column list
  to include node_execution_incomplete and node_execution_review
- generate_views: update Step 3 comment to clarify NOLOGIN role needs
  WITH LOGIN PASSWORD not just WITH PASSWORD; add fail-fast validation
  for unknown --only view names with helpful error message
2026-03-12 00:47:55 +07:00
Zamil Majdy
f585d97928 fix(analytics): move new status columns to end of users_activities SELECT
CREATE OR REPLACE VIEW requires existing columns to stay in position.
Moving node_execution_incomplete and node_execution_review after
is_active_after_7d so the replacement doesn't shift existing columns.
2026-03-12 00:01:40 +07:00
Zamil Majdy
7d39234fdd fix(analytics): address PR review comments
- user_block_spending: use ->> instead of -> for JSONB field extraction
  before casting to int (avoids runtime cast errors)
- generate_views: create analytics_readonly as NOLOGIN to avoid a
  usable role with a known default password
- generate_views: percent-encode DB credentials in the URI builder so
  passwords with reserved chars (@, :, /) connect correctly
- graph_execution: remove WHERE filter on sensitive_action_safe_mode
  before DISTINCT ON so the latest LibraryAgent version always wins
  (fixes possibly_ai being sticky once any version had the flag set)
- retention_agent: use DISTINCT ON ordered by version DESC instead of
  MAX(name) so renamed agents resolve to their latest name
- retention_login_daily: add 90-day cohort_start filter to first_login
  CTE so the view matches its documented window
- user_onboarding_funnel: map the 8 missing OnboardingStep enum values
  (VISIT_COPILOT, RE_RUN_AGENT, SCHEDULE_AGENT, RUN_AGENTS, RUN_3_DAYS,
  TRIGGER_WEBHOOK, RUN_14_DAYS, RUN_AGENTS_100) to step_order 15-22
- users_activities: use updatedAt instead of createdAt for
  last_agent_save_time; add node_execution_incomplete and
  node_execution_review status columns
2026-03-11 23:48:42 +07:00
Zamil Majdy
6e9d4c4333 perf(analytics): fix fan-out in users_activities view
The original CTEs drove all joins from user_logins, causing a
O(users × executions × node_executions) fan-out that made the view
too heavy for Supabase to serve. Rewrote each CTE to aggregate its
own source table directly by userId, then LEFT JOIN the aggregates
in the final SELECT.
2026-03-11 23:39:14 +07:00
Zamil Majdy
8aad333a45 refactor(analytics): move generate_views.py to backend, add poetry run analytics-setup/analytics-views scripts 2026-03-11 16:23:29 +07:00
Zamil Majdy
856f0d980d fix(analytics): restrict analytics_readonly to analytics schema only via security_invoker=false views 2026-03-11 16:16:03 +07:00
Zamil Majdy
3c3aadd361 docs(analytics): add step-by-step quick start to generate_views.py docstring 2026-03-11 16:12:22 +07:00
Zamil Majdy
e87a693fdd feat(analytics): auto-load DB creds from backend/.env as fallback 2026-03-11 16:10:31 +07:00
Zamil Majdy
fe265c10d4 refactor(analytics): generate setup.sql via --setup flag, gitignore it 2026-03-11 16:01:52 +07:00
Zamil Majdy
5d00a94693 chore(analytics): remove auto-generated files, gitignore views.sql 2026-03-11 16:00:48 +07:00
Zamil Majdy
6e1605994d feat(analytics): add documented SQL views with generation script
Introduces an analytics/ layer that wraps production Postgres data in
safe, read-only views exposed under the analytics schema.

- 14 documented query files in queries/ (one per Looker data source)
  covering auth activities, user activity, execution metrics, onboarding
  funnel, and cohort retention (login + execution, weekly + daily)
- setup.sql — one-time schema creation and role/grant setup for the
  analytics_readonly role (auth, platform, analytics schemas)
- generate_views.py — reads queries/*.sql and applies
  CREATE OR REPLACE VIEW analytics.<name> to the database;
  supports --dry-run, --only, and --db-url flags
- views.sql — pre-generated combined reference output
- README.md — full setup, deployment, and integration guide

Looker, PostHog Data Warehouse, and Supabase MCP (for Otto) all
connect to the same analytics.* views instead of raw tables.
2026-03-11 15:36:27 +07:00
3768 changed files with 843747 additions and 289300 deletions

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../.claude/skills

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{
"permissions": {
"allowedTools": [
"Read", "Grep", "Glob",
"Bash(ls:*)", "Bash(cat:*)", "Bash(grep:*)", "Bash(find:*)",
"Bash(git status:*)", "Bash(git diff:*)", "Bash(git log:*)", "Bash(git worktree:*)",
"Bash(tmux:*)", "Bash(sleep:*)", "Bash(branchlet:*)"
]
}
}

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---
name: backend-check
description: Run the full backend formatting, linting, and test suite. Ensures code quality before commits and PRs. TRIGGER when backend Python code has been modified and needs validation.
user-invocable: true
metadata:
author: autogpt-team
version: "1.0.0"
---
# Backend Check
## Steps
1. **Format**: `poetry run format` — runs formatting AND linting. NEVER run ruff/black/isort individually
2. **Fix** any remaining errors manually, re-run until clean
3. **Test**: `poetry run test` (runs DB setup + pytest). For specific files: `poetry run pytest -s -vvv <test_files>`
4. **Snapshots** (if needed): `poetry run pytest path/to/test.py --snapshot-update` — review with `git diff`

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---
name: code-style
description: Python code style preferences for the AutoGPT backend. Apply when writing or reviewing Python code. TRIGGER when writing new Python code, reviewing PRs, or refactoring backend code.
user-invocable: false
metadata:
author: autogpt-team
version: "1.0.0"
---
# Code Style
## Imports
- **Top-level only** — no local/inner imports. Move all imports to the top of the file.
## Typing
- **No duck typing** — avoid `hasattr`, `getattr`, `isinstance` for type dispatch. Use proper typed interfaces, unions, or protocols.
- **Pydantic models** over dataclass, namedtuple, or raw dict for structured data.
- **No linter suppressors** — avoid `# type: ignore`, `# noqa`, `# pyright: ignore` etc. 99% of the time the right fix is fixing the type/code, not silencing the tool.
## Code Structure
- **List comprehensions** over manual loop-and-append.
- **Early return** — guard clauses first, avoid deep nesting.
- **Flatten inline** — prefer short, concise expressions. Reduce `if/else` chains with direct returns or ternaries when readable.
- **Modular functions** — break complex logic into small, focused functions rather than long blocks with nested conditionals.
## Review Checklist
Before finishing, always ask:
- Can any function be split into smaller pieces?
- Is there unnecessary nesting that an early return would eliminate?
- Can any loop be a comprehension?
- Is there a simpler way to express this logic?

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---
name: frontend-check
description: Run the full frontend formatting, linting, and type checking suite. Ensures code quality before commits and PRs. TRIGGER when frontend TypeScript/React code has been modified and needs validation.
user-invocable: true
metadata:
author: autogpt-team
version: "1.0.0"
---
# Frontend Check
## Steps (in order)
1. **Format**: `pnpm format` — NEVER run individual formatters
2. **Lint**: `pnpm lint` — fix errors, re-run until clean
3. **Types**: `pnpm types` — if it keeps failing after multiple attempts, stop and ask the user

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---
name: new-block
description: Create a new backend block following the Block SDK Guide. Guides through provider configuration, schema definition, authentication, and testing. TRIGGER when user asks to create a new block, add a new integration, or build a new node for the graph editor.
user-invocable: true
metadata:
author: autogpt-team
version: "1.0.0"
---
# New Block Creation
Read `docs/platform/block-sdk-guide.md` first for the full guide.
## Steps
1. **Provider config** (if external service): create `_config.py` with `ProviderBuilder`
2. **Block file** in `backend/blocks/` (from `autogpt_platform/backend/`):
- Generate a UUID once with `uuid.uuid4()`, then **hard-code that string** as `id` (IDs must be stable across imports)
- `Input(BlockSchema)` and `Output(BlockSchema)` classes
- `async def run` that `yield`s output fields
3. **Files**: use `store_media_file()` with `"for_block_output"` for outputs
4. **Test**: `poetry run pytest 'backend/blocks/test/test_block.py::test_available_blocks[MyBlock]' -xvs`
5. **Format**: `poetry run format`
## Rules
- Analyze interfaces: do inputs/outputs connect well with other blocks in a graph?
- Use top-level imports, avoid duck typing
- Always use `for_block_output` for block outputs

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---
name: open-pr
description: Open a pull request with proper PR template, test coverage, and review workflow. Guides agents through creating a PR that follows repo conventions, ensures existing behaviors aren't broken, covers new behaviors with tests, and handles review via bot when local testing isn't possible. TRIGGER when user asks to "open a PR", "create a PR", "make a PR", "submit a PR", "open pull request", "push and create PR", or any variation of opening/submitting a pull request.
user-invocable: true
args: "[base-branch] — optional target branch (defaults to dev)."
metadata:
author: autogpt-team
version: "1.0.0"
---
# Open a Pull Request
## Step 1: Pre-flight checks
Before opening the PR:
1. Ensure all changes are committed
2. Ensure the branch is pushed to the remote (`git push -u origin <branch>`)
3. Run linters/formatters across the whole repo (not just changed files) and commit any fixes
## Step 2: Test coverage
**This is critical.** Before opening the PR, verify:
### Existing behavior is not broken
- Identify which modules/components your changes touch
- Run the existing test suites for those areas
- If tests fail, fix them before opening the PR — do not open a PR with known regressions
### New behavior has test coverage
- Every new feature, endpoint, or behavior change needs tests
- If you added a new block, add tests for that block
- If you changed API behavior, add or update API tests
- If you changed frontend behavior, verify it doesn't break existing flows
If you cannot run the full test suite locally, note which tests you ran and which you couldn't in the test plan.
## Step 3: Create the PR using the repo template
Read the canonical PR template at `.github/PULL_REQUEST_TEMPLATE.md` and use it **verbatim** as your PR body:
1. Read the template: `cat .github/PULL_REQUEST_TEMPLATE.md`
2. Preserve the exact section titles and formatting, including:
- `### Why / What / How`
- `### Changes 🏗️`
- `### Checklist 📋`
3. Replace HTML comment prompts (`<!-- ... -->`) with actual content; do not leave them in
4. **Do not pre-check boxes** — leave all checkboxes as `- [ ]` until each step is actually completed
5. Do not alter the template structure, rename sections, or remove any checklist items
**PR title must use conventional commit format** (e.g., `feat(backend): add new block`, `fix(frontend): resolve routing bug`, `dx(skills): update PR workflow`). See CLAUDE.md for the full list of scopes.
Use `gh pr create` with the base branch (defaults to `dev` if no `[base-branch]` was provided). Use `--body-file` to avoid shell interpretation of backticks and special characters:
```bash
BASE_BRANCH="${BASE_BRANCH:-dev}"
PR_BODY=$(mktemp)
cat > "$PR_BODY" << 'PREOF'
<filled-in template from .github/PULL_REQUEST_TEMPLATE.md>
PREOF
gh pr create --base "$BASE_BRANCH" --title "<type>(scope): short description" --body-file "$PR_BODY"
rm "$PR_BODY"
```
## Step 4: Review workflow
### If you have a workspace that allows testing (docker, running backend, etc.)
- Run `/pr-test` to do E2E manual testing of the PR using docker compose, agent-browser, and API calls. This is the most thorough way to validate your changes before review.
- After testing, run `/pr-review` to self-review the PR for correctness, security, code quality, and testing gaps before requesting human review.
### If you do NOT have a workspace that allows testing
This is common for agents running in worktrees without a full stack. In this case:
1. Run `/pr-review` locally to catch obvious issues before pushing
2. **Comment `/review` on the PR** after creating it to trigger the review bot
3. **Poll for the review** rather than blindly waiting — check for new review comments every 30 seconds using `gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/reviews --paginate` and the GraphQL inline threads query. The bot typically responds within 30 minutes, but polling lets the agent react as soon as it arrives.
4. Do NOT proceed or merge until the bot review comes back
5. Address any issues the bot raises — use `/pr-address` which has a full polling loop with CI + comment tracking
```bash
# After creating the PR:
PR_NUMBER=$(gh pr view --json number -q .number)
gh pr comment "$PR_NUMBER" --body "/review"
# Then use /pr-address to poll for and address the review when it arrives
```
## Step 5: Address review feedback
Once the review bot or human reviewers leave comments:
- Run `/pr-address` to address review comments. It will loop until CI is green and all comments are resolved.
- Do not merge without human approval.
## Related skills
| Skill | When to use |
|---|---|
| `/pr-test` | E2E testing with docker compose, agent-browser, API calls — use when you have a running workspace |
| `/pr-review` | Review for correctness, security, code quality — use before requesting human review |
| `/pr-address` | Address reviewer comments and loop until CI green — use after reviews come in |
## Step 6: Post-creation
After the PR is created and review is triggered:
- Share the PR URL with the user
- If waiting on the review bot, let the user know the expected wait time (~30 min)
- Do not merge without human approval

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---
name: openapi-regen
description: Regenerate the OpenAPI spec and frontend API client. Starts the backend REST server, fetches the spec, and regenerates the typed frontend hooks. TRIGGER when API routes change, new endpoints are added, or frontend API types are stale.
user-invocable: true
metadata:
author: autogpt-team
version: "1.0.0"
---
# OpenAPI Spec Regeneration
## Steps
1. **Run end-to-end** in a single shell block (so `REST_PID` persists):
```bash
cd autogpt_platform/backend && poetry run rest &
REST_PID=$!
WAIT=0; until curl -sf http://localhost:8006/health > /dev/null 2>&1; do sleep 1; WAIT=$((WAIT+1)); [ $WAIT -ge 60 ] && echo "Timed out" && kill $REST_PID && exit 1; done
cd ../frontend && pnpm generate:api:force
kill $REST_PID
pnpm types && pnpm lint && pnpm format
```
## Rules
- Always use `pnpm generate:api:force` (not `pnpm generate:api`)
- Don't manually edit files in `src/app/api/__generated__/`
- Generated hooks follow: `use{Method}{Version}{OperationName}`

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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.

View File

@@ -1,43 +0,0 @@
#!/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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@@ -1,85 +0,0 @@
#!/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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@@ -1,24 +0,0 @@
#!/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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@@ -1,40 +0,0 @@
#!/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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@@ -1,257 +0,0 @@
#!/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"

View File

@@ -1,32 +0,0 @@
#!/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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@@ -1,215 +0,0 @@
#!/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

View File

@@ -1,129 +0,0 @@
#!/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"

View File

@@ -1,43 +0,0 @@
#!/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)

View File

@@ -1,180 +0,0 @@
#!/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

@@ -1,495 +0,0 @@
---
name: pr-address
description: Address PR review comments and loop until CI green and all comments resolved. TRIGGER when user asks to address comments, fix PR feedback, respond to reviewers, or babysit/monitor a PR.
user-invocable: true
argument-hint: "[PR number or URL] — if omitted, finds PR for current branch."
metadata:
author: autogpt-team
version: "1.0.0"
---
# PR Address
## Find the PR
```bash
gh pr list --head $(git branch --show-current) --repo Significant-Gravitas/AutoGPT
gh pr view {N}
```
## Read the PR description
Understand the **Why / What / How** before addressing comments — you need context to make good fixes:
```bash
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)
> ⚠️ **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 { 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]}]'
```
**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:
- **Overall state**: look for `CHANGES_REQUESTED` or `APPROVED` reviews.
- **Actionable feedback**: non-empty bodies only. Empty-body reviews are thread-resolution events — they indicate progress but have no feedback to act on.
**Where each reviewer posts:**
- `autogpt-reviewer` — posts detailed structured reviews ("Blockers", "Should Fix", "Nice to Have") as **top-level reviews**. Not present on every PR. Address ALL items.
- `sentry[bot]` — posts bug predictions as **inline threads**. Fix real bugs, explain false positives.
- `coderabbitai[bot]` — posts summaries as **top-level reviews** AND actionable items as **inline threads**. Address actionable items.
- Human reviewers — can post in any source. Address ALL non-empty feedback.
### 3. PR conversation comments — REST
```bash
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
**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 [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 $(gh pr view --json baseRefName --jq '.baseRefName')...HEAD`
2. For each uncovered file — extract inline logic to `helpers.ts`/`helpers.py` and test those (highest ROI). Colocate tests as `*_test.py` (backend) or `__tests__/*.test.ts` (frontend).
3. Run coverage locally to verify, commit, push.
## Format and commit
After fixing, format the changed code:
- **Backend** (from `autogpt_platform/backend/`): `poetry run format`
- **Frontend** (from `autogpt_platform/frontend/`): `pnpm format && pnpm lint && pnpm types`
If API routes changed, regenerate the frontend client:
```bash
cd autogpt_platform/backend && poetry run rest &
REST_PID=$!
trap "kill $REST_PID 2>/dev/null" EXIT
WAIT=0; until curl -sf http://localhost:8006/health > /dev/null 2>&1; do sleep 1; WAIT=$((WAIT+1)); [ $WAIT -ge 60 ] && echo "Timed out" && exit 1; done
cd ../frontend && pnpm generate:api:force
kill $REST_PID 2>/dev/null; trap - EXIT
```
Never manually edit files in `src/app/api/__generated__/`.
Then commit and **push immediately** — never batch commits without pushing. Each fix should be visible on GitHub right away so CI can start and reviewers can see progress.
**Never push empty commits** (`git commit --allow-empty`) to re-trigger CI or bot checks. When a check fails, investigate the root cause (unchecked PR checklist, unaddressed review comments, code issues) and fix those directly. Empty commits add noise to git history.
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
address comments → format → commit → push
→ wait for CI (while addressing new comments) → fix failures → push
→ re-check comments after CI settles
→ repeat until: all comments addressed AND CI green AND no new comments arriving
```
### Polling for CI + new comments
After pushing, poll for **both** CI status and new comments in a single loop. Do not use `gh pr checks --watch` — it blocks the tool and prevents reacting to new comments while CI is running.
> **Note:** `gh pr checks --watch --fail-fast` is tempting but it blocks the entire Bash tool call, meaning the agent cannot check for or address new comments until CI fully completes. Always poll manually instead.
**Polling loop — repeat every 30 seconds:**
1. Check CI status:
```bash
gh pr checks {N} --repo Significant-Gravitas/AutoGPT --json bucket,name,link
```
Parse the results: if every check has `bucket` of `"pass"` or `"skipping"`, CI is green. If any has `"fail"`, CI has failed. Otherwise CI is still pending.
2. Check for merge conflicts:
```bash
gh pr view {N} --repo Significant-Gravitas/AutoGPT --json mergeable --jq '.mergeable'
```
If the result is `"CONFLICTING"`, the PR has a merge conflict — see "Resolving merge conflicts" below. If `"UNKNOWN"`, GitHub is still computing mergeability — wait and re-check next poll.
3. Check for new/changed comments (all three sources):
**Inline threads** — re-run the GraphQL query from "Fetch comments". For each unresolved thread, record `{thread_id, last_comment_databaseId}` as your baseline. On each poll, action is needed if:
- A new thread `id` appears that wasn't in the baseline (new thread), OR
- An existing thread's `last_comment_databaseId` has changed (new reply on existing thread)
**Conversation comments:**
```bash
gh api repos/Significant-Gravitas/AutoGPT/issues/{N}/comments --paginate
```
Compare total count and newest `id` against baseline. Filter to non-empty, non-bot, non-author-update messages.
**Top-level reviews:**
```bash
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/reviews --paginate
```
Watch for new non-empty reviews (`CHANGES_REQUESTED` or `COMMENTED` with body). Compare total count and newest `id` against baseline.
4. **React in this precedence order (first match wins):**
| What happened | Action |
|---|---|
| Merge conflict detected | See "Resolving merge conflicts" below. |
| Mergeability is `UNKNOWN` | GitHub is still computing mergeability. Sleep 30 seconds, then restart polling from the top. |
| New comments detected | Address them (fix → commit → push → reply). After pushing, re-fetch all comments to update your baseline, then restart this polling loop from the top (new commits invalidate CI status). |
| CI failed (bucket == "fail") | Get failed check links: `gh pr checks {N} --repo Significant-Gravitas/AutoGPT --json bucket,link --jq '.[] \| select(.bucket == "fail") \| .link'`. Extract run ID from link (format: `.../actions/runs/<run-id>/job/...`), read logs with `gh run view <run-id> --repo Significant-Gravitas/AutoGPT --log-failed`. Fix → commit → push → restart polling. |
| CI green + no new comments | **Do not exit immediately.** Bots (coderabbitai, sentry) often post reviews shortly after CI settles. Continue polling for **2 more cycles (60s)** after CI goes green. Only exit after 2 consecutive green+quiet polls. |
| CI pending + no new comments | Sleep 30 seconds, then poll again. |
**The loop ends when:** CI fully green + all comments addressed + **2 consecutive polls with no new comments after CI settled.**
### Resolving merge conflicts
1. Identify the PR's target branch and remote:
```bash
gh pr view {N} --repo Significant-Gravitas/AutoGPT --json baseRefName --jq '.baseRefName'
git remote -v # find the remote pointing to Significant-Gravitas/AutoGPT (typically 'upstream' in forks, 'origin' for direct contributors)
```
2. Pull the latest base branch with a 3-way merge:
```bash
git pull {base-remote} {base-branch} --no-rebase
```
3. Resolve conflicting files, then verify no conflict markers remain:
```bash
if grep -R -n -E '^(<<<<<<<|=======|>>>>>>>)' <conflicted-files>; then
echo "Unresolved conflict markers found — resolve before proceeding."
exit 1
fi
```
4. Stage and push:
```bash
git add <conflicted-files>
git commit -m "Resolve merge conflicts with {base-branch}"
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

@@ -0,0 +1,31 @@
---
name: pr-create
description: Create a pull request for the current branch. TRIGGER when user asks to create a PR, open a pull request, push changes for review, or submit work for merging.
user-invocable: true
metadata:
author: autogpt-team
version: "1.0.0"
---
# Create Pull Request
## Steps
1. **Check for existing PR**: `gh pr view --json url -q .url 2>/dev/null` — if a PR already exists, output its URL and stop
2. **Understand changes**: `git status`, `git diff dev...HEAD`, `git log dev..HEAD --oneline`
3. **Read PR template**: `.github/PULL_REQUEST_TEMPLATE.md`
4. **Draft PR title**: Use conventional commits format (see CLAUDE.md for types and scopes)
5. **Fill out PR template** as the body — be thorough in the Changes section
6. **Format first** (if relevant changes exist):
- Backend: `cd autogpt_platform/backend && poetry run format`
- Frontend: `cd autogpt_platform/frontend && pnpm format`
- Fix any lint errors, then commit formatting changes before pushing
7. **Push**: `git push -u origin HEAD`
8. **Create PR**: `gh pr create --base dev`
9. **Output** the PR URL
## Rules
- Always target `dev` branch
- Do NOT run tests — CI will handle that
- Use the PR template from `.github/PULL_REQUEST_TEMPLATE.md`

View File

@@ -1,245 +0,0 @@
---
name: pr-polish
description: Alternate /pr-review and /pr-address on a PR until the PR is truly mergeable — no new review findings, zero unresolved inline threads, zero unaddressed top-level reviews or issue comments, all CI checks green, and two consecutive quiet polls after CI settles. Use when the user wants a PR polished to merge-ready without setting a fixed number of rounds.
user-invocable: true
argument-hint: "[PR number or URL] — if omitted, finds PR for current branch."
metadata:
author: autogpt-team
version: "1.0.0"
---
# PR Polish
**Goal.** Drive a PR to merge-ready by alternating `/pr-review` and `/pr-address` until **all** of the following hold:
1. The most recent `/pr-review` produces **zero new findings** (no new inline comments, no new top-level reviews with a non-empty body).
2. Every inline review thread reachable via GraphQL reports `isResolved: true`.
3. Every non-bot, non-author top-level review has been acknowledged (replied-to) OR resolved via a thread it spawned.
4. Every non-bot, non-author issue comment has been acknowledged (replied-to).
5. Every CI check is `conclusion: "success"` or `"skipped"` / `"neutral"` — none `"failure"` or still pending.
6. **Two consecutive post-CI polls** (≥60s apart) stay clean — no new threads, no new non-empty reviews, no new issue comments. Bots (coderabbitai, sentry, autogpt-reviewer) frequently post late after CI settles; a single green snapshot is not sufficient.
**Do not stop at a fixed number of rounds.** If round N introduces new comments, round N+1 is required. Cap at `_MAX_ROUNDS = 10` as a safety valve, but expect 25 in practice.
## TodoWrite
Before starting, write two todos so the user can see the loop progression:
- `Round {current}: /pr-review + /pr-address on PR #{N}` — current iteration.
- `Final polish polling: 2 consecutive clean polls, CI green, 0 unresolved` — runs after the last non-empty review round.
Update the `current` round counter at the start of each iteration; mark `completed` only when the round's address step finishes (all new threads addressed + resolved).
## Find the PR
```bash
ARG_PR="${ARG:-}"
# Normalize URL → numeric ID if the skill arg is a pull-request URL.
if [[ "$ARG_PR" =~ ^https?://github\.com/[^/]+/[^/]+/pull/([0-9]+) ]]; then
ARG_PR="${BASH_REMATCH[1]}"
fi
PR="${ARG_PR:-$(gh pr list --head "$(git branch --show-current)" --repo Significant-Gravitas/AutoGPT --json number --jq '.[0].number')}"
if [ -z "$PR" ] || [ "$PR" = "null" ]; then
echo "No PR found for current branch. Provide a PR number or URL as the skill arg."
exit 1
fi
echo "Polishing PR #$PR"
```
## The outer loop
```text
round = 0
while round < _MAX_ROUNDS:
round += 1
baseline = snapshot_state(PR) # see "Snapshotting state" below
invoke_skill("pr-review", PR) # posts findings as inline comments / top-level review
findings = diff_state(PR, baseline)
if findings.total == 0:
break # no new findings → go to polish polling
invoke_skill("pr-address", PR) # resolves every unresolved thread + CI failure
# Post-loop: polish polling (see below).
polish_polling(PR)
```
### Snapshotting state
Before each `/pr-review`, capture a baseline so the diff after the review reflects **only** what the review just added (not pre-existing threads):
```bash
# Inline threads — total count + latest databaseId per thread
gh api graphql -f query="
{
repository(owner: \"Significant-Gravitas\", name: \"AutoGPT\") {
pullRequest(number: ${PR}) {
reviewThreads(first: 100) {
totalCount
nodes {
id
isResolved
comments(last: 1) { nodes { databaseId } }
}
}
}
}
}" > /tmp/baseline_threads.json
# Top-level reviews — count + latest id per non-empty review
gh api "repos/Significant-Gravitas/AutoGPT/pulls/${PR}/reviews" --paginate \
--jq '[.[] | select((.body // "") != "") | {id, user: .user.login, state, submitted_at}]' \
> /tmp/baseline_reviews.json
# Issue comments — count + latest id per non-bot, non-author comment.
# Bots are filtered by User.type == "Bot" (GitHub sets this for app/bot
# accounts like coderabbitai, github-actions, sentry-io). The author is
# filtered by comparing login to the PR author — export it so jq can see it.
AUTHOR=$(gh api "repos/Significant-Gravitas/AutoGPT/pulls/${PR}" --jq '.user.login')
gh api "repos/Significant-Gravitas/AutoGPT/issues/${PR}/comments" --paginate \
--jq --arg author "$AUTHOR" \
'[.[] | select(.user.type != "Bot" and .user.login != $author)
| {id, user: .user.login, created_at}]' \
> /tmp/baseline_issue_comments.json
```
### Diffing after a review
After `/pr-review` runs, any of these counting as "new findings" means another address round is needed:
- New inline thread `id` not in the baseline.
- An existing thread whose latest comment `databaseId` is higher than the baseline's (new reply on an old thread).
- A new top-level review `id` with a non-empty body.
- A new issue comment `id` from a non-bot, non-author user.
If any of the four buckets is non-empty → not done; invoke `/pr-address` and loop.
## Polish polling
Once `/pr-review` produces zero new findings, do **not** exit yet. Bots (coderabbitai, sentry, autogpt-reviewer) commonly post late reviews after CI settles — 3090 seconds after the final push. Poll at 60-second intervals:
```text
NON_SUCCESS_TERMINAL = {"failure", "cancelled", "timed_out", "action_required", "startup_failure"}
clean_polls = 0
required_clean = 2
while clean_polls < required_clean:
# 1. CI gate — any terminal non-success conclusion (not just "failure")
# must trigger /pr-address. "success", "skipped", "neutral" are clean;
# anything else (including cancelled, timed_out, action_required) is a
# blocker that won't self-resolve.
ci = fetch_check_runs(PR)
if any ci.conclusion in NON_SUCCESS_TERMINAL:
invoke_skill("pr-address", PR) # address failures + any new comments
baseline = snapshot_state(PR) # reset — push during address invalidates old baseline
clean_polls = 0
continue
if any ci.conclusion is None (still in_progress):
sleep 60; continue # wait without counting this as clean
# 2. Comment / thread gate
threads = fetch_unresolved_threads(PR)
new_issue_comments = diff_against_baseline(issue_comments)
new_reviews = diff_against_baseline(reviews)
if threads or new_issue_comments or new_reviews:
invoke_skill("pr-address", PR)
baseline = snapshot_state(PR) # reset — the address loop just dealt with these,
# otherwise they stay "new" relative to the old baseline forever
clean_polls = 0
continue
# 3. Mergeability gate
mergeable = gh api repos/.../pulls/${PR} --jq '.mergeable'
if mergeable == false (CONFLICTING):
resolve_conflicts(PR) # see pr-address skill
clean_polls = 0
continue
if mergeable is null (UNKNOWN):
sleep 60; continue
clean_polls += 1
sleep 60
```
Only after `clean_polls == 2` do you report `ORCHESTRATOR:DONE`.
### Why 2 clean polls, not 1
A single green snapshot can be misleading — the final CI check often completes ~30s before a bot posts its delayed review. One quiet cycle does not prove the PR is stable; two consecutive cycles with no new threads, reviews, or issue comments arriving gives high confidence nothing else is incoming.
### Why checking every source each poll
`/pr-address` polling inside a single round already re-checks its own comments, but `/pr-polish` sits a level above and must also catch:
- New top-level reviews (autogpt-reviewer sometimes posts structured feedback only after several CI green cycles).
- Issue comments from human reviewers (not caught by inline thread polling).
- Sentry bug predictions that land on new line numbers post-push.
- Merge conflicts introduced by a race between your push and a merge to `dev`.
## Invocation pattern
Delegate to existing skills with the `Skill` tool; do not re-implement the review or address logic inline. This keeps the polish loop focused on orchestration and lets the child skills evolve independently.
```python
Skill(skill="pr-review", args=pr_url)
Skill(skill="pr-address", args=pr_url)
```
After each child invocation, re-query GitHub state directly — never trust a summary for the stop condition. The orchestrator's `ORCHESTRATOR:DONE` is verified against actual GraphQL / REST responses per the rules in `pr-address`'s "Verify actual count before outputting ORCHESTRATOR:DONE" section.
### **Auto-continue: do NOT end your response between child skills**
`/pr-polish` is a single orchestration task — one invocation drives the PR all the way to merge-ready. When a child `Skill()` call returns control to you:
- Do NOT summarize and stop.
- Do NOT wait for user confirmation to continue.
- Immediately, in the same response, perform the next loop step: state diff → decide next action → next `Skill()` call or polling sleep.
The child skill returning is a **loop iteration boundary**, not a conversation turn boundary. You are expected to keep going until one of the exit conditions in the opening section is met (2 consecutive clean polls, `_MAX_ROUNDS` hit, or an unrecoverable error).
If the user needs to approve a risky action mid-loop (e.g., a force-push or a destructive git operation), pause there — but not at the routine "round N finished, round N+1 needed" boundary. Those are silent transitions.
## GitHub rate limits
This skill issues many GraphQL calls (one review-thread query per outer iteration plus per-poll queries inside polish polling). Expect the GraphQL budget to be tight on large PRs. When `gh api rate_limit --jq .resources.graphql.remaining` drops below ~200, back off:
- Fall back to REST for reads (flat `/pulls/{N}/comments`, `/pulls/{N}/reviews`, `/issues/{N}/comments`) per the `pr-address` skill's GraphQL-fallback section.
- Queue thread resolutions (GraphQL-only) until the budget resets; keep making progress on fixes + REST replies meanwhile.
- `sleep 5` between any batch of ≥20 writes to avoid secondary rate limits.
## Safety valves
- `_MAX_ROUNDS = 10` — if review+address rounds exceed this, stop and escalate to the user with a summary of what's still unresolved. A PR that cannot converge in 10 rounds has systemic issues that need human judgment.
- After each commit, run `poetry run format` / `pnpm format && pnpm lint && pnpm types` per the target codebase's conventions. A failing format check is CI `failure` that will never self-resolve.
- Every `/pr-review` round checks for **duplicate** concerns first (via `pr-review`'s own "Fetch existing review comments" step) so the loop does not re-post the same finding that a prior round already resolved.
## Reporting
When the skill finishes (either via two clean polls or hitting `_MAX_ROUNDS`), produce a compact summary:
```
PR #{N} polish complete ({rounds_completed} rounds):
- {X} inline threads opened and resolved
- {Y} CI failures fixed
- {Z} new commits pushed
Final state: CI green, {total} threads all resolved, mergeable.
```
If exiting via `_MAX_ROUNDS`, flag explicitly:
```
PR #{N} polish stopped at {_MAX_ROUNDS} rounds — NOT merge-ready:
- {N} threads still unresolved: {titles}
- CI status: {summary}
Needs human review.
```
## When to use this skill
Use when the user says any of:
- "polish this PR"
- "keep reviewing and addressing until it's mergeable"
- "loop /pr-review + /pr-address until done"
- "make sure the PR is actually merge-ready"
Do **not** use when:
- User wants just one review pass (→ `/pr-review`).
- User wants to address already-posted comments without further self-review (→ `/pr-address`).
- A fixed round count is explicitly requested (e.g., "do 3 rounds") — honour the count instead of converging.

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@@ -1,86 +1,51 @@
---
name: pr-review
description: Review a PR for correctness, security, code quality, and testing issues. TRIGGER when user asks to review a PR, check PR quality, or give feedback on a PR.
description: Address all open PR review comments systematically. Fetches comments, addresses each one, reacts +1/-1, and replies when clarification is needed. Keeps iterating until all comments are addressed and CI is green. TRIGGER when user shares a PR URL, asks to address review comments, fix PR feedback, or respond to reviewer comments.
user-invocable: true
args: "[PR number or URL] — if omitted, finds PR for current branch."
metadata:
author: autogpt-team
version: "1.0.0"
---
# PR Review
# PR Review Comment Workflow
## Find the PR
## Steps
```bash
gh pr list --head $(git branch --show-current) --repo Significant-Gravitas/AutoGPT
gh pr view {N}
```
1. **Find PR**: `gh pr list --head $(git branch --show-current) --repo Significant-Gravitas/AutoGPT`
2. **Fetch comments** (all three sources):
- `gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/reviews` (top-level reviews)
- `gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments` (inline review comments)
- `gh api repos/Significant-Gravitas/AutoGPT/issues/{N}/comments` (PR conversation comments)
3. **Skip** comments already reacted to by PR author
4. **For each unreacted comment**:
- Read referenced code, make the fix (or reply if you disagree/need info)
- **Inline review comments** (`pulls/{N}/comments`):
- React: `gh api repos/.../pulls/comments/{ID}/reactions -f content="+1"` (or `-1`)
- Reply: `gh api repos/.../pulls/{N}/comments/{ID}/replies -f body="..."`
- **PR conversation comments** (`issues/{N}/comments`):
- React: `gh api repos/.../issues/comments/{ID}/reactions -f content="+1"` (or `-1`)
- No threaded replies — post a new issue comment if needed
- **Top-level reviews**: no reaction API — address in code, reply via issue comment if needed
5. **Include autogpt-reviewer bot fixes** too
6. **Format**: `cd autogpt_platform/backend && poetry run format`, `cd autogpt_platform/frontend && pnpm format`
7. **Commit & push**
8. **Re-fetch comments** immediately — address any new unreacted ones before waiting on CI
9. **Stay productive while CI runs** — don't idle. In priority order:
- Run any pending local tests (`poetry run pytest`, e2e, etc.) and fix failures
- Address any remaining comments
- Only poll `gh pr checks {N}` as the last resort when there's truly nothing left to do
10. **If CI fails** — fix, go back to step 6
11. **Re-fetch comments again** after CI is green — address anything that appeared while CI was running
12. **Done** only when: all comments reacted AND CI is green.
## Read the PR description
## CRITICAL: Do Not Stop
Before reading code, understand the **why**, **what**, and **how** from the PR description:
**Loop is: address → format → commit → push → re-check comments → run local tests → wait CI → re-check comments → repeat.**
```bash
gh pr view {N} --json body --jq '.body'
```
Never idle. If CI is running and you have nothing to address, run local tests. Waiting on CI is the last resort.
Every PR should have a Why / What / How structure. If any of these are missing, note it as feedback.
## Rules
## Read the diff
```bash
gh pr diff {N}
```
## Fetch existing review comments
Before posting anything, fetch existing inline comments to avoid duplicates:
```bash
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments --paginate
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/reviews
```
## What to check
**Description quality:** Does the PR description cover Why (motivation/problem), What (summary of changes), and How (approach/implementation details)? If any are missing, request them — you can't judge the approach without understanding the problem and intent.
**Correctness:** logic errors, off-by-one, missing edge cases, race conditions (TOCTOU in file access, credit charging), error handling gaps, async correctness (missing `await`, unclosed resources).
**Security:** input validation at boundaries, no injection (command, XSS, SQL), secrets not logged, file paths sanitized (`os.path.basename()` in error messages).
**Code quality:** apply rules from backend/frontend CLAUDE.md files.
**Architecture:** DRY, single responsibility, modular functions. `Security()` vs `Depends()` for FastAPI auth. `data:` for SSE events, `: comment` for heartbeats. `transaction=True` for Redis pipelines.
**Testing:** edge cases covered, colocated `*_test.py` (backend) / `__tests__/` (frontend), mocks target where symbol is **used** not defined, `AsyncMock` for async.
## Output format
Every comment **must** be prefixed with `🤖` and a criticality badge:
| Tier | Badge | Meaning |
|---|---|---|
| Blocker | `🔴 **Blocker**` | Must fix before merge |
| Should Fix | `🟠 **Should Fix**` | Important improvement |
| Nice to Have | `🟡 **Nice to Have**` | Minor suggestion |
| Nit | `🔵 **Nit**` | Style / wording |
Example: `🤖 🔴 **Blocker**: Missing error handling for X — suggest wrapping in try/except.`
## Post inline comments
For each finding, post an inline comment on the PR (do not just write a local report):
```bash
# Get the latest commit SHA for the PR
COMMIT_SHA=$(gh api repos/Significant-Gravitas/AutoGPT/pulls/{N} --jq '.head.sha')
# Post an inline comment on a specific file/line
gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments \
-f body="🤖 🔴 **Blocker**: <description>" \
-f commit_id="$COMMIT_SHA" \
-f path="<file path>" \
-F line=<line number>
```
- One todo per comment
- For inline review comments: reply on existing threads. For PR conversation comments: post a new issue comment (API doesn't support threaded replies)
- React to every comment: +1 addressed, -1 disagreed (with explanation)

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---
name: setup-repo
description: Initialize a worktree-based repo layout for parallel development. Creates a main worktree, a reviews worktree for PR reviews, and N numbered work branches. Handles .env creation, dependency installation, and branchlet config. TRIGGER when user asks to set up the repo from scratch, initialize worktrees, bootstrap their dev environment, "setup repo", "setup worktrees", "initialize dev environment", "set up branches", or when a freshly cloned repo has no sibling worktrees.
user-invocable: true
args: "No arguments — interactive setup via prompts."
metadata:
author: autogpt-team
version: "1.0.0"
---
# Repository Setup
This skill sets up a worktree-based development layout from a freshly cloned repo. It creates:
- A **main** worktree (the primary checkout)
- A **reviews** worktree (for PR reviews)
- **N work branches** (branch1..branchN) for parallel development
## Step 1: Identify the repo
Determine the repo root and parent directory:
```bash
ROOT=$(git rev-parse --show-toplevel)
REPO_NAME=$(basename "$ROOT")
PARENT=$(dirname "$ROOT")
```
Detect if the repo is already inside a worktree layout by counting sibling worktrees (not just checking the directory name, which could be anything):
```bash
# Count worktrees that are siblings (live under $PARENT but aren't $ROOT itself)
SIBLING_COUNT=$(git worktree list --porcelain 2>/dev/null | grep "^worktree " | grep -c "$PARENT/" || true)
if [ "$SIBLING_COUNT" -gt 1 ]; then
echo "INFO: Existing worktree layout detected at $PARENT ($SIBLING_COUNT worktrees)"
# Use $ROOT as-is; skip renaming/restructuring
else
echo "INFO: Fresh clone detected, proceeding with setup"
fi
```
## Step 2: Ask the user questions
Use AskUserQuestion to gather setup preferences:
1. **How many parallel work branches do you need?** (Options: 4, 8, 16, or custom)
- These become `branch1` through `branchN`
2. **Which branch should be the base?** (Options: origin/master, origin/dev, or custom)
- All work branches and reviews will start from this
## Step 3: Fetch and set up branches
```bash
cd "$ROOT"
git fetch origin
# Create the reviews branch from base (skip if already exists)
if git show-ref --verify --quiet refs/heads/reviews; then
echo "INFO: Branch 'reviews' already exists, skipping"
else
git branch reviews <base-branch>
fi
# Create numbered work branches from base (skip if already exists)
for i in $(seq 1 "$COUNT"); do
if git show-ref --verify --quiet "refs/heads/branch$i"; then
echo "INFO: Branch 'branch$i' already exists, skipping"
else
git branch "branch$i" <base-branch>
fi
done
```
## Step 4: Create worktrees
Create worktrees as siblings to the main checkout:
```bash
if [ -d "$PARENT/reviews" ]; then
echo "INFO: Worktree '$PARENT/reviews' already exists, skipping"
else
git worktree add "$PARENT/reviews" reviews
fi
for i in $(seq 1 "$COUNT"); do
if [ -d "$PARENT/branch$i" ]; then
echo "INFO: Worktree '$PARENT/branch$i' already exists, skipping"
else
git worktree add "$PARENT/branch$i" "branch$i"
fi
done
```
## Step 5: Set up environment files
**Do NOT assume .env files exist.** For each worktree (including main if needed):
1. Check if `.env` exists in the source worktree for each path
2. If `.env` exists, copy it
3. If only `.env.default` or `.env.example` exists, copy that as `.env`
4. If neither exists, warn the user and list which env files are missing
Env file locations to check (same as the `/worktree` skill — keep these in sync):
- `autogpt_platform/.env`
- `autogpt_platform/backend/.env`
- `autogpt_platform/frontend/.env`
> **Note:** This env copying logic intentionally mirrors the `/worktree` skill's approach. If you update the path list or fallback logic here, update `/worktree` as well.
```bash
SOURCE="$ROOT"
WORKTREES="reviews"
for i in $(seq 1 "$COUNT"); do WORKTREES="$WORKTREES branch$i"; done
FOUND_ANY_ENV=0
for wt in $WORKTREES; do
TARGET="$PARENT/$wt"
for envpath in autogpt_platform autogpt_platform/backend autogpt_platform/frontend; do
if [ -f "$SOURCE/$envpath/.env" ]; then
FOUND_ANY_ENV=1
cp "$SOURCE/$envpath/.env" "$TARGET/$envpath/.env"
elif [ -f "$SOURCE/$envpath/.env.default" ]; then
FOUND_ANY_ENV=1
cp "$SOURCE/$envpath/.env.default" "$TARGET/$envpath/.env"
echo "NOTE: $wt/$envpath/.env was created from .env.default — you may need to edit it"
elif [ -f "$SOURCE/$envpath/.env.example" ]; then
FOUND_ANY_ENV=1
cp "$SOURCE/$envpath/.env.example" "$TARGET/$envpath/.env"
echo "NOTE: $wt/$envpath/.env was created from .env.example — you may need to edit it"
else
echo "WARNING: No .env, .env.default, or .env.example found at $SOURCE/$envpath/"
fi
done
done
if [ "$FOUND_ANY_ENV" -eq 0 ]; then
echo "WARNING: No environment files or templates were found in the source worktree."
# Use AskUserQuestion to confirm: "Continue setup without env files?"
# If the user declines, stop here and let them set up .env files first.
fi
```
## Step 6: Copy branchlet config
Copy `.branchlet.json` from main to each worktree so branchlet can manage sub-worktrees:
```bash
if [ -f "$ROOT/.branchlet.json" ]; then
for wt in $WORKTREES; do
cp "$ROOT/.branchlet.json" "$PARENT/$wt/.branchlet.json"
done
fi
```
## Step 7: Install dependencies
Install deps in all worktrees. Run these sequentially per worktree:
```bash
for wt in $WORKTREES; do
TARGET="$PARENT/$wt"
echo "=== Installing deps for $wt ==="
(cd "$TARGET/autogpt_platform/autogpt_libs" && poetry install) &&
(cd "$TARGET/autogpt_platform/backend" && poetry install && poetry run prisma generate) &&
(cd "$TARGET/autogpt_platform/frontend" && pnpm install) &&
echo "=== Done: $wt ===" ||
echo "=== FAILED: $wt ==="
done
```
This is slow. Run in background if possible and notify when complete.
## Step 8: Verify and report
After setup, verify and report to the user:
```bash
git worktree list
```
Summarize:
- Number of worktrees created
- Which env files were copied vs created from defaults vs missing
- Any warnings or errors encountered
## Final directory layout
```
parent/
main/ # Primary checkout (already exists)
reviews/ # PR review worktree
branch1/ # Work branch 1
branch2/ # Work branch 2
...
branchN/ # Work branch N
```

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@@ -0,0 +1,45 @@
---
name: worktree-setup
description: Set up a new git worktree for parallel development. Creates the worktree, copies .env files, installs dependencies, generates Prisma client, and optionally starts the app (with port conflict resolution) or runs tests. TRIGGER when user asks to set up a worktree, work on a branch in isolation, or needs a separate environment for a branch or PR.
user-invocable: true
metadata:
author: autogpt-team
version: "1.0.0"
---
# Worktree Setup
## Preferred: Use Branchlet
The repo has a `.branchlet.json` config — it handles env file copying, dependency installation, and Prisma generation automatically.
```bash
npm install -g branchlet # install once
branchlet create -n <name> -s <source-branch> -b <new-branch>
branchlet list --json # list all worktrees
```
## Manual Fallback
If branchlet isn't available:
1. `git worktree add ../<RepoName><N> <branch-name>`
2. Copy `.env` files: `backend/.env`, `frontend/.env`, `autogpt_platform/.env`, `db/docker/.env`
3. Install deps:
- `cd autogpt_platform/backend && poetry install && poetry run prisma generate`
- `cd autogpt_platform/frontend && pnpm install`
## Running the App
Free ports first — backend uses: 8001, 8002, 8003, 8005, 8006, 8007, 8008.
```bash
for port in 8001 8002 8003 8005 8006 8007 8008; do
lsof -ti :$port | xargs kill -9 2>/dev/null || true
done
cd <worktree>/autogpt_platform/backend && poetry run app
```
## CoPilot Testing Gotcha
SDK mode spawns a Claude subprocess — **won't work inside Claude Code**. Set `CHAT_USE_CLAUDE_AGENT_SDK=false` in `backend/.env` to use baseline mode.

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@@ -1,85 +0,0 @@
---
name: worktree
description: Set up a new git worktree for parallel development. Creates the worktree, copies .env files, installs dependencies, and generates Prisma client. TRIGGER when user asks to set up a worktree, work on a branch in isolation, or needs a separate environment for a branch or PR.
user-invocable: true
args: "[name] — optional worktree name (e.g., 'AutoGPT7'). If omitted, uses next available AutoGPT<N>."
metadata:
author: autogpt-team
version: "3.0.0"
---
# Worktree Setup
## Create the worktree
Derive paths from the git toplevel. If a name is provided as argument, use it. Otherwise, check `git worktree list` and pick the next `AutoGPT<N>`.
```bash
ROOT=$(git rev-parse --show-toplevel)
PARENT=$(dirname "$ROOT")
# From an existing branch
git worktree add "$PARENT/<NAME>" <branch-name>
# From a new branch off dev
git worktree add -b <new-branch> "$PARENT/<NAME>" dev
```
## Copy environment files
Copy `.env` from the root worktree. Falls back to `.env.default` if `.env` doesn't exist.
```bash
ROOT=$(git rev-parse --show-toplevel)
TARGET="$(dirname "$ROOT")/<NAME>"
for envpath in autogpt_platform/backend autogpt_platform/frontend autogpt_platform; do
if [ -f "$ROOT/$envpath/.env" ]; then
cp "$ROOT/$envpath/.env" "$TARGET/$envpath/.env"
elif [ -f "$ROOT/$envpath/.env.default" ]; then
cp "$ROOT/$envpath/.env.default" "$TARGET/$envpath/.env"
fi
done
```
## Install dependencies
```bash
TARGET="$(dirname "$(git rev-parse --show-toplevel)")/<NAME>"
cd "$TARGET/autogpt_platform/autogpt_libs" && poetry install
cd "$TARGET/autogpt_platform/backend" && poetry install && poetry run prisma generate
cd "$TARGET/autogpt_platform/frontend" && pnpm install
```
Replace `<NAME>` with the actual worktree name (e.g., `AutoGPT7`).
## Running the app (optional)
Backend uses ports: 8001, 8002, 8003, 8005, 8006, 8007, 8008. Free them first if needed:
```bash
TARGET="$(dirname "$(git rev-parse --show-toplevel)")/<NAME>"
for port in 8001 8002 8003 8005 8006 8007 8008; do
lsof -ti :$port | xargs kill -9 2>/dev/null || true
done
cd "$TARGET/autogpt_platform/backend" && poetry run app
```
## CoPilot testing
SDK mode spawns a Claude subprocess — won't work inside Claude Code. Set `CHAT_USE_CLAUDE_AGENT_SDK=false` in `backend/.env` to use baseline mode.
## Cleanup
```bash
# Replace <NAME> with the actual worktree name (e.g., AutoGPT7)
git worktree remove "$(dirname "$(git rev-parse --show-toplevel)")/<NAME>"
```
## Alternative: Branchlet (optional)
If [branchlet](https://www.npmjs.com/package/branchlet) is installed:
```bash
branchlet create -n <name> -s <source-branch> -b <new-branch>
```

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@@ -1,225 +0,0 @@
---
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

@@ -1,12 +1,8 @@
### Why / What / How
<!-- Why: Why does this PR exist? What problem does it solve, or what's broken/missing without it? -->
<!-- What: What does this PR change? Summarize the changes at a high level. -->
<!-- How: How does it work? Describe the approach, key implementation details, or architecture decisions. -->
<!-- Clearly explain the need for these changes: -->
### Changes 🏗️
<!-- List the key changes. Keep it higher level than the diff but specific enough to highlight what's new/modified. -->
<!-- Concisely describe all of the changes made in this pull request: -->
### Checklist 📋

View File

@@ -6,19 +6,11 @@ on:
paths:
- '.github/workflows/classic-autogpt-ci.yml'
- 'classic/original_autogpt/**'
- 'classic/direct_benchmark/**'
- 'classic/forge/**'
- 'classic/pyproject.toml'
- 'classic/poetry.lock'
pull_request:
branches: [ master, dev, release-* ]
paths:
- '.github/workflows/classic-autogpt-ci.yml'
- 'classic/original_autogpt/**'
- 'classic/direct_benchmark/**'
- 'classic/forge/**'
- 'classic/pyproject.toml'
- 'classic/poetry.lock'
concurrency:
group: ${{ format('classic-autogpt-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
@@ -27,22 +19,47 @@ concurrency:
defaults:
run:
shell: bash
working-directory: classic
working-directory: classic/original_autogpt
jobs:
test:
permissions:
contents: read
timeout-minutes: 30
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ["3.10"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
steps:
- name: Start MinIO service
# Quite slow on macOS (2~4 minutes to set up Docker)
# - name: Set up Docker (macOS)
# if: runner.os == 'macOS'
# uses: crazy-max/ghaction-setup-docker@v3
- name: Start MinIO service (Linux)
if: runner.os == 'Linux'
working-directory: '.'
run: |
docker pull minio/minio:edge-cicd
docker run -d -p 9000:9000 minio/minio:edge-cicd
- name: Start MinIO service (macOS)
if: runner.os == 'macOS'
working-directory: ${{ runner.temp }}
run: |
brew install minio/stable/minio
mkdir data
minio server ./data &
# No MinIO on Windows:
# - Windows doesn't support running Linux Docker containers
# - It doesn't seem possible to start background processes on Windows. They are
# killed after the step returns.
# See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
- name: Checkout repository
uses: actions/checkout@v4
with:
@@ -54,23 +71,41 @@ jobs:
git config --global user.name "Auto-GPT-Bot"
git config --global user.email "github-bot@agpt.co"
- name: Set up Python 3.12
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: "3.12"
python-version: ${{ matrix.python-version }}
- id: get_date
name: Get date
run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('classic/poetry.lock') }}
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('classic/original_autogpt/poetry.lock') }}
- name: Install Poetry
run: curl -sSL https://install.python-poetry.org | python3 -
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
@@ -81,13 +116,12 @@ jobs:
--cov=autogpt --cov-branch --cov-report term-missing --cov-report xml \
--numprocesses=logical --durations=10 \
--junitxml=junit.xml -o junit_family=legacy \
original_autogpt/tests/unit original_autogpt/tests/integration
tests/unit tests/integration
env:
CI: true
PLAIN_OUTPUT: True
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
S3_ENDPOINT_URL: http://127.0.0.1:9000
S3_ENDPOINT_URL: ${{ runner.os != 'Windows' && 'http://127.0.0.1:9000' || '' }}
AWS_ACCESS_KEY_ID: minioadmin
AWS_SECRET_ACCESS_KEY: minioadmin
@@ -101,11 +135,11 @@ jobs:
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: autogpt-agent
flags: autogpt-agent,${{ runner.os }}
- name: Upload logs to artifact
if: always()
uses: actions/upload-artifact@v4
with:
name: test-logs
path: classic/logs/
path: classic/original_autogpt/logs/

View File

@@ -148,7 +148,7 @@ jobs:
--entrypoint poetry ${{ env.IMAGE_NAME }} run \
pytest -v --cov=autogpt --cov-branch --cov-report term-missing \
--numprocesses=4 --durations=10 \
original_autogpt/tests/unit original_autogpt/tests/integration 2>&1 | tee test_output.txt
tests/unit tests/integration 2>&1 | tee test_output.txt
test_failure=${PIPESTATUS[0]}

View File

@@ -10,9 +10,10 @@ on:
- '.github/workflows/classic-autogpts-ci.yml'
- 'classic/original_autogpt/**'
- 'classic/forge/**'
- 'classic/direct_benchmark/**'
- 'classic/pyproject.toml'
- 'classic/poetry.lock'
- 'classic/benchmark/**'
- 'classic/run'
- 'classic/cli.py'
- 'classic/setup.py'
- '!**/*.md'
pull_request:
branches: [ master, dev, release-* ]
@@ -20,9 +21,10 @@ on:
- '.github/workflows/classic-autogpts-ci.yml'
- 'classic/original_autogpt/**'
- 'classic/forge/**'
- 'classic/direct_benchmark/**'
- 'classic/pyproject.toml'
- 'classic/poetry.lock'
- 'classic/benchmark/**'
- 'classic/run'
- 'classic/cli.py'
- 'classic/setup.py'
- '!**/*.md'
defaults:
@@ -33,9 +35,13 @@ defaults:
jobs:
serve-agent-protocol:
runs-on: ubuntu-latest
strategy:
matrix:
agent-name: [ original_autogpt ]
fail-fast: false
timeout-minutes: 20
env:
min-python-version: '3.12'
min-python-version: '3.10'
steps:
- name: Checkout repository
uses: actions/checkout@v4
@@ -49,22 +55,22 @@ jobs:
python-version: ${{ env.min-python-version }}
- name: Install Poetry
working-directory: ./classic/${{ matrix.agent-name }}/
run: |
curl -sSL https://install.python-poetry.org | python -
- name: Install dependencies
run: poetry install
- name: Run smoke tests with direct-benchmark
- name: Run regression tests
run: |
poetry run direct-benchmark run \
--strategies one_shot \
--models claude \
--tests ReadFile,WriteFile \
--json
./run agent start ${{ matrix.agent-name }}
cd ${{ matrix.agent-name }}
poetry run agbenchmark --mock --test=BasicRetrieval --test=Battleship --test=WebArenaTask_0
poetry run agbenchmark --test=WriteFile
env:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
AGENT_NAME: ${{ matrix.agent-name }}
REQUESTS_CA_BUNDLE: /etc/ssl/certs/ca-certificates.crt
NONINTERACTIVE_MODE: "true"
CI: true
HELICONE_CACHE_ENABLED: false
HELICONE_PROPERTY_AGENT: ${{ matrix.agent-name }}
REPORTS_FOLDER: ${{ format('../../reports/{0}', matrix.agent-name) }}
TELEMETRY_ENVIRONMENT: autogpt-ci
TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}

View File

@@ -1,24 +1,18 @@
name: Classic - Direct Benchmark CI
name: Classic - AGBenchmark CI
on:
push:
branches: [ master, dev, ci-test* ]
paths:
- 'classic/direct_benchmark/**'
- 'classic/original_autogpt/**'
- 'classic/forge/**'
- 'classic/benchmark/**'
- '!classic/benchmark/reports/**'
- .github/workflows/classic-benchmark-ci.yml
- 'classic/pyproject.toml'
- 'classic/poetry.lock'
pull_request:
branches: [ master, dev, release-* ]
paths:
- 'classic/direct_benchmark/**'
- 'classic/original_autogpt/**'
- 'classic/forge/**'
- 'classic/benchmark/**'
- '!classic/benchmark/reports/**'
- .github/workflows/classic-benchmark-ci.yml
- 'classic/pyproject.toml'
- 'classic/poetry.lock'
concurrency:
group: ${{ format('benchmark-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
@@ -29,16 +23,23 @@ defaults:
shell: bash
env:
min-python-version: '3.12'
min-python-version: '3.10'
jobs:
benchmark-tests:
runs-on: ubuntu-latest
test:
permissions:
contents: read
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
python-version: ["3.10"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
defaults:
run:
shell: bash
working-directory: classic
working-directory: classic/benchmark
steps:
- name: Checkout repository
uses: actions/checkout@v4
@@ -46,88 +47,71 @@ jobs:
fetch-depth: 0
submodules: true
- name: Set up Python ${{ env.min-python-version }}
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ env.min-python-version }}
python-version: ${{ matrix.python-version }}
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('classic/poetry.lock') }}
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('classic/benchmark/poetry.lock') }}
- name: Install Poetry
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
- name: Install dependencies
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
- name: Run basic benchmark tests
- name: Run pytest with coverage
run: |
echo "Testing ReadFile challenge with one_shot strategy..."
poetry run direct-benchmark run \
--fresh \
--strategies one_shot \
--models claude \
--tests ReadFile \
--json
echo "Testing WriteFile challenge..."
poetry run direct-benchmark run \
--fresh \
--strategies one_shot \
--models claude \
--tests WriteFile \
--json
poetry run pytest -vv \
--cov=agbenchmark --cov-branch --cov-report term-missing --cov-report xml \
--durations=10 \
--junitxml=junit.xml -o junit_family=legacy \
tests
env:
CI: true
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
NONINTERACTIVE_MODE: "true"
- name: Test category filtering
run: |
echo "Testing coding category..."
poetry run direct-benchmark run \
--fresh \
--strategies one_shot \
--models claude \
--categories coding \
--tests ReadFile,WriteFile \
--json
env:
CI: true
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
NONINTERACTIVE_MODE: "true"
- name: Upload test results to Codecov
if: ${{ !cancelled() }} # Run even if tests fail
uses: codecov/test-results-action@v1
with:
token: ${{ secrets.CODECOV_TOKEN }}
- name: Test multiple strategies
run: |
echo "Testing multiple strategies..."
poetry run direct-benchmark run \
--fresh \
--strategies one_shot,plan_execute \
--models claude \
--tests ReadFile \
--parallel 2 \
--json
env:
CI: true
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
NONINTERACTIVE_MODE: "true"
- name: Upload coverage reports to Codecov
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: agbenchmark,${{ runner.os }}
# Run regression tests on maintain challenges
regression-tests:
self-test-with-agent:
runs-on: ubuntu-latest
timeout-minutes: 45
if: github.ref == 'refs/heads/master' || github.ref == 'refs/heads/dev'
defaults:
run:
shell: bash
working-directory: classic
strategy:
matrix:
agent-name: [forge]
fail-fast: false
timeout-minutes: 20
steps:
- name: Checkout repository
uses: actions/checkout@v4
@@ -140,31 +124,53 @@ jobs:
with:
python-version: ${{ env.min-python-version }}
- name: Set up Python dependency cache
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('classic/poetry.lock') }}
- name: Install Poetry
run: |
curl -sSL https://install.python-poetry.org | python3 -
- name: Install dependencies
run: poetry install
curl -sSL https://install.python-poetry.org | python -
- name: Run regression tests
working-directory: classic
run: |
echo "Running regression tests (previously beaten challenges)..."
poetry run direct-benchmark run \
--fresh \
--strategies one_shot \
--models claude \
--maintain \
--parallel 4 \
--json
./run agent start ${{ matrix.agent-name }}
cd ${{ matrix.agent-name }}
set +e # Ignore non-zero exit codes and continue execution
echo "Running the following command: poetry run agbenchmark --maintain --mock"
poetry run agbenchmark --maintain --mock
EXIT_CODE=$?
set -e # Stop ignoring non-zero exit codes
# Check if the exit code was 5, and if so, exit with 0 instead
if [ $EXIT_CODE -eq 5 ]; then
echo "regression_tests.json is empty."
fi
echo "Running the following command: poetry run agbenchmark --mock"
poetry run agbenchmark --mock
echo "Running the following command: poetry run agbenchmark --mock --category=data"
poetry run agbenchmark --mock --category=data
echo "Running the following command: poetry run agbenchmark --mock --category=coding"
poetry run agbenchmark --mock --category=coding
# echo "Running the following command: poetry run agbenchmark --test=WriteFile"
# poetry run agbenchmark --test=WriteFile
cd ../benchmark
poetry install
echo "Adding the BUILD_SKILL_TREE environment variable. This will attempt to add new elements in the skill tree. If new elements are added, the CI fails because they should have been pushed"
export BUILD_SKILL_TREE=true
# poetry run agbenchmark --mock
# CHANGED=$(git diff --name-only | grep -E '(agbenchmark/challenges)|(../classic/frontend/assets)') || echo "No diffs"
# if [ ! -z "$CHANGED" ]; then
# echo "There are unstaged changes please run agbenchmark and commit those changes since they are needed."
# echo "$CHANGED"
# exit 1
# else
# echo "No unstaged changes."
# fi
env:
CI: true
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
NONINTERACTIVE_MODE: "true"
TELEMETRY_ENVIRONMENT: autogpt-benchmark-ci
TELEMETRY_OPT_IN: ${{ github.ref_name == 'master' }}

View File

@@ -6,15 +6,13 @@ on:
paths:
- '.github/workflows/classic-forge-ci.yml'
- 'classic/forge/**'
- 'classic/pyproject.toml'
- 'classic/poetry.lock'
- '!classic/forge/tests/vcr_cassettes'
pull_request:
branches: [ master, dev, release-* ]
paths:
- '.github/workflows/classic-forge-ci.yml'
- 'classic/forge/**'
- 'classic/pyproject.toml'
- 'classic/poetry.lock'
- '!classic/forge/tests/vcr_cassettes'
concurrency:
group: ${{ format('forge-ci-{0}', github.head_ref && format('{0}-{1}', github.event_name, github.event.pull_request.number) || github.sha) }}
@@ -23,60 +21,131 @@ concurrency:
defaults:
run:
shell: bash
working-directory: classic
working-directory: classic/forge
jobs:
test:
permissions:
contents: read
timeout-minutes: 30
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version: ["3.10"]
platform-os: [ubuntu, macos, macos-arm64, windows]
runs-on: ${{ matrix.platform-os != 'macos-arm64' && format('{0}-latest', matrix.platform-os) || 'macos-14' }}
steps:
- name: Start MinIO service
# Quite slow on macOS (2~4 minutes to set up Docker)
# - name: Set up Docker (macOS)
# if: runner.os == 'macOS'
# uses: crazy-max/ghaction-setup-docker@v3
- name: Start MinIO service (Linux)
if: runner.os == 'Linux'
working-directory: '.'
run: |
docker pull minio/minio:edge-cicd
docker run -d -p 9000:9000 minio/minio:edge-cicd
- name: Start MinIO service (macOS)
if: runner.os == 'macOS'
working-directory: ${{ runner.temp }}
run: |
brew install minio/stable/minio
mkdir data
minio server ./data &
# No MinIO on Windows:
# - Windows doesn't support running Linux Docker containers
# - It doesn't seem possible to start background processes on Windows. They are
# killed after the step returns.
# See: https://github.com/actions/runner/issues/598#issuecomment-2011890429
- name: Checkout repository
uses: actions/checkout@v4
with:
fetch-depth: 0
submodules: true
- name: Set up Python 3.12
- name: Checkout cassettes
if: ${{ startsWith(github.event_name, 'pull_request') }}
env:
PR_BASE: ${{ github.event.pull_request.base.ref }}
PR_BRANCH: ${{ github.event.pull_request.head.ref }}
PR_AUTHOR: ${{ github.event.pull_request.user.login }}
run: |
cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
cassette_base_branch="${PR_BASE}"
cd tests/vcr_cassettes
if ! git ls-remote --exit-code --heads origin $cassette_base_branch ; then
cassette_base_branch="master"
fi
if git ls-remote --exit-code --heads origin $cassette_branch ; then
git fetch origin $cassette_branch
git fetch origin $cassette_base_branch
git checkout $cassette_branch
# Pick non-conflicting cassette updates from the base branch
git merge --no-commit --strategy-option=ours origin/$cassette_base_branch
echo "Using cassettes from mirror branch '$cassette_branch'," \
"synced to upstream branch '$cassette_base_branch'."
else
git checkout -b $cassette_branch
echo "Branch '$cassette_branch' does not exist in cassette submodule." \
"Using cassettes from '$cassette_base_branch'."
fi
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: "3.12"
python-version: ${{ matrix.python-version }}
- name: Set up Python dependency cache
# On Windows, unpacking cached dependencies takes longer than just installing them
if: runner.os != 'Windows'
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('classic/poetry.lock') }}
path: ${{ runner.os == 'macOS' && '~/Library/Caches/pypoetry' || '~/.cache/pypoetry' }}
key: poetry-${{ runner.os }}-${{ hashFiles('classic/forge/poetry.lock') }}
- name: Install Poetry
run: curl -sSL https://install.python-poetry.org | python3 -
- name: Install Poetry (Unix)
if: runner.os != 'Windows'
run: |
curl -sSL https://install.python-poetry.org | python3 -
if [ "${{ runner.os }}" = "macOS" ]; then
PATH="$HOME/.local/bin:$PATH"
echo "$HOME/.local/bin" >> $GITHUB_PATH
fi
- name: Install Poetry (Windows)
if: runner.os == 'Windows'
shell: pwsh
run: |
(Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | python -
$env:PATH += ";$env:APPDATA\Python\Scripts"
echo "$env:APPDATA\Python\Scripts" >> $env:GITHUB_PATH
- name: Install Python dependencies
run: poetry install
- name: Install Playwright browsers
run: poetry run playwright install chromium
- name: Run pytest with coverage
run: |
poetry run pytest -vv \
--cov=forge --cov-branch --cov-report term-missing --cov-report xml \
--durations=10 \
--junitxml=junit.xml -o junit_family=legacy \
forge/forge forge/tests
forge
env:
CI: true
PLAIN_OUTPUT: True
# API keys - tests that need these will skip if not available
# Secrets are not available to fork PRs (GitHub security feature)
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
S3_ENDPOINT_URL: http://127.0.0.1:9000
S3_ENDPOINT_URL: ${{ runner.os != 'Windows' && 'http://127.0.0.1:9000' || '' }}
AWS_ACCESS_KEY_ID: minioadmin
AWS_SECRET_ACCESS_KEY: minioadmin
@@ -90,11 +159,85 @@ jobs:
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: forge
flags: forge,${{ runner.os }}
- id: setup_git_auth
name: Set up git token authentication
# Cassettes may be pushed even when tests fail
if: success() || failure()
run: |
config_key="http.${{ github.server_url }}/.extraheader"
if [ "${{ runner.os }}" = 'macOS' ]; then
base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64)
else
base64_pat=$(echo -n "pat:${{ secrets.PAT_REVIEW }}" | base64 -w0)
fi
git config "$config_key" \
"Authorization: Basic $base64_pat"
cd tests/vcr_cassettes
git config "$config_key" \
"Authorization: Basic $base64_pat"
echo "config_key=$config_key" >> $GITHUB_OUTPUT
- id: push_cassettes
name: Push updated cassettes
# For pull requests, push updated cassettes even when tests fail
if: github.event_name == 'push' || (! github.event.pull_request.head.repo.fork && (success() || failure()))
env:
PR_BRANCH: ${{ github.event.pull_request.head.ref }}
PR_AUTHOR: ${{ github.event.pull_request.user.login }}
run: |
if [ "${{ startsWith(github.event_name, 'pull_request') }}" = "true" ]; then
is_pull_request=true
cassette_branch="${PR_AUTHOR}-${PR_BRANCH}"
else
cassette_branch="${{ github.ref_name }}"
fi
cd tests/vcr_cassettes
# Commit & push changes to cassettes if any
if ! git diff --quiet; then
git add .
git commit -m "Auto-update cassettes"
git push origin HEAD:$cassette_branch
if [ ! $is_pull_request ]; then
cd ../..
git add tests/vcr_cassettes
git commit -m "Update cassette submodule"
git push origin HEAD:$cassette_branch
fi
echo "updated=true" >> $GITHUB_OUTPUT
else
echo "updated=false" >> $GITHUB_OUTPUT
echo "No cassette changes to commit"
fi
- name: Post Set up git token auth
if: steps.setup_git_auth.outcome == 'success'
run: |
git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
git submodule foreach git config --unset-all '${{ steps.setup_git_auth.outputs.config_key }}'
- name: Apply "behaviour change" label and comment on PR
if: ${{ startsWith(github.event_name, 'pull_request') }}
run: |
PR_NUMBER="${{ github.event.pull_request.number }}"
TOKEN="${{ secrets.PAT_REVIEW }}"
REPO="${{ github.repository }}"
if [[ "${{ steps.push_cassettes.outputs.updated }}" == "true" ]]; then
echo "Adding label and comment..."
echo $TOKEN | gh auth login --with-token
gh issue edit $PR_NUMBER --add-label "behaviour change"
gh issue comment $PR_NUMBER --body "You changed AutoGPT's behaviour on ${{ runner.os }}. The cassettes have been updated and will be merged to the submodule when this Pull Request gets merged."
fi
- name: Upload logs to artifact
if: always()
uses: actions/upload-artifact@v4
with:
name: test-logs
path: classic/logs/
path: classic/forge/logs/

View File

@@ -0,0 +1,60 @@
name: Classic - Frontend CI/CD
on:
push:
branches:
- master
- dev
- 'ci-test*' # This will match any branch that starts with "ci-test"
paths:
- 'classic/frontend/**'
- '.github/workflows/classic-frontend-ci.yml'
pull_request:
paths:
- 'classic/frontend/**'
- '.github/workflows/classic-frontend-ci.yml'
jobs:
build:
permissions:
contents: write
pull-requests: write
runs-on: ubuntu-latest
env:
BUILD_BRANCH: ${{ format('classic-frontend-build/{0}', github.ref_name) }}
steps:
- name: Checkout Repo
uses: actions/checkout@v4
- name: Setup Flutter
uses: subosito/flutter-action@v2
with:
flutter-version: '3.13.2'
- name: Build Flutter to Web
run: |
cd classic/frontend
flutter build web --base-href /app/
# - name: Commit and Push to ${{ env.BUILD_BRANCH }}
# if: github.event_name == 'push'
# run: |
# git config --local user.email "action@github.com"
# git config --local user.name "GitHub Action"
# git add classic/frontend/build/web
# git checkout -B ${{ env.BUILD_BRANCH }}
# git commit -m "Update frontend build to ${GITHUB_SHA:0:7}" -a
# git push -f origin ${{ env.BUILD_BRANCH }}
- name: Create PR ${{ env.BUILD_BRANCH }} -> ${{ github.ref_name }}
if: github.event_name == 'push'
uses: peter-evans/create-pull-request@v8
with:
add-paths: classic/frontend/build/web
base: ${{ github.ref_name }}
branch: ${{ env.BUILD_BRANCH }}
delete-branch: true
title: "Update frontend build in `${{ github.ref_name }}`"
body: "This PR updates the frontend build based on commit ${{ github.sha }}."
commit-message: "Update frontend build based on commit ${{ github.sha }}"

View File

@@ -7,9 +7,7 @@ on:
- '.github/workflows/classic-python-checks-ci.yml'
- 'classic/original_autogpt/**'
- 'classic/forge/**'
- 'classic/direct_benchmark/**'
- 'classic/pyproject.toml'
- 'classic/poetry.lock'
- 'classic/benchmark/**'
- '**.py'
- '!classic/forge/tests/vcr_cassettes'
pull_request:
@@ -18,9 +16,7 @@ on:
- '.github/workflows/classic-python-checks-ci.yml'
- 'classic/original_autogpt/**'
- 'classic/forge/**'
- 'classic/direct_benchmark/**'
- 'classic/pyproject.toml'
- 'classic/poetry.lock'
- 'classic/benchmark/**'
- '**.py'
- '!classic/forge/tests/vcr_cassettes'
@@ -31,13 +27,44 @@ concurrency:
defaults:
run:
shell: bash
working-directory: classic
jobs:
get-changed-parts:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v4
- id: changes-in
name: Determine affected subprojects
uses: dorny/paths-filter@v3
with:
filters: |
original_autogpt:
- classic/original_autogpt/autogpt/**
- classic/original_autogpt/tests/**
- classic/original_autogpt/poetry.lock
forge:
- classic/forge/forge/**
- classic/forge/tests/**
- classic/forge/poetry.lock
benchmark:
- classic/benchmark/agbenchmark/**
- classic/benchmark/tests/**
- classic/benchmark/poetry.lock
outputs:
changed-parts: ${{ steps.changes-in.outputs.changes }}
lint:
needs: get-changed-parts
runs-on: ubuntu-latest
env:
min-python-version: "3.12"
min-python-version: "3.10"
strategy:
matrix:
sub-package: ${{ fromJson(needs.get-changed-parts.outputs.changed-parts) }}
fail-fast: false
steps:
- name: Checkout repository
@@ -54,31 +81,42 @@ jobs:
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: ${{ runner.os }}-poetry-${{ hashFiles('classic/poetry.lock') }}
key: ${{ runner.os }}-poetry-${{ hashFiles(format('{0}/poetry.lock', matrix.sub-package)) }}
- name: Install Poetry
run: curl -sSL https://install.python-poetry.org | python3 -
# Install dependencies
- name: Install Python dependencies
run: poetry install
run: poetry -C classic/${{ matrix.sub-package }} install
# Lint
- name: Lint (isort)
run: poetry run isort --check .
working-directory: classic/${{ matrix.sub-package }}
- name: Lint (Black)
if: success() || failure()
run: poetry run black --check .
working-directory: classic/${{ matrix.sub-package }}
- name: Lint (Flake8)
if: success() || failure()
run: poetry run flake8 .
working-directory: classic/${{ matrix.sub-package }}
types:
needs: get-changed-parts
runs-on: ubuntu-latest
env:
min-python-version: "3.12"
min-python-version: "3.10"
strategy:
matrix:
sub-package: ${{ fromJson(needs.get-changed-parts.outputs.changed-parts) }}
fail-fast: false
steps:
- name: Checkout repository
@@ -95,16 +133,19 @@ jobs:
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: ${{ runner.os }}-poetry-${{ hashFiles('classic/poetry.lock') }}
key: ${{ runner.os }}-poetry-${{ hashFiles(format('{0}/poetry.lock', matrix.sub-package)) }}
- name: Install Poetry
run: curl -sSL https://install.python-poetry.org | python3 -
# Install dependencies
- name: Install Python dependencies
run: poetry install
run: poetry -C classic/${{ matrix.sub-package }} install
# Typecheck
- name: Typecheck
if: success() || failure()
run: poetry run pyright
working-directory: classic/${{ matrix.sub-package }}

View File

@@ -5,14 +5,12 @@ on:
branches: [master, dev, ci-test*]
paths:
- ".github/workflows/platform-backend-ci.yml"
- ".github/workflows/scripts/get_package_version_from_lockfile.py"
- "autogpt_platform/backend/**"
- "autogpt_platform/autogpt_libs/**"
pull_request:
branches: [master, dev, release-*]
paths:
- ".github/workflows/platform-backend-ci.yml"
- ".github/workflows/scripts/get_package_version_from_lockfile.py"
- "autogpt_platform/backend/**"
- "autogpt_platform/autogpt_libs/**"
merge_group:
@@ -27,91 +25,10 @@ defaults:
working-directory: autogpt_platform/backend
jobs:
lint:
permissions:
contents: read
timeout-minutes: 10
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v6
- name: Set up Python 3.12
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Set up Python dependency cache
uses: actions/cache@v5
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-py3.12-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
- name: Install Poetry
run: |
HEAD_POETRY_VERSION=$(python ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
echo "Using Poetry version ${HEAD_POETRY_VERSION}"
curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
- name: Install Python dependencies
run: poetry install
- name: Run Linters
run: poetry run lint --skip-pyright
env:
CI: true
PLAIN_OUTPUT: True
type-check:
permissions:
contents: read
timeout-minutes: 10
strategy:
fail-fast: false
matrix:
python-version: ["3.11", "3.12", "3.13"]
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
with:
python-version: ${{ matrix.python-version }}
- name: Set up Python dependency cache
uses: actions/cache@v5
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-py${{ matrix.python-version }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
- name: Install Poetry
run: |
HEAD_POETRY_VERSION=$(python ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
echo "Using Poetry version ${HEAD_POETRY_VERSION}"
curl -sSL https://install.python-poetry.org | POETRY_VERSION=$HEAD_POETRY_VERSION python3 -
- name: Install Python dependencies
run: poetry install
- name: Generate Prisma Client
run: poetry run prisma generate && poetry run gen-prisma-stub
- name: Run Pyright
run: poetry run pyright --pythonversion ${{ matrix.python-version }}
env:
CI: true
PLAIN_OUTPUT: True
test:
permissions:
contents: read
timeout-minutes: 15
timeout-minutes: 30
strategy:
fail-fast: false
matrix:
@@ -119,12 +36,10 @@ jobs:
runs-on: ubuntu-latest
services:
# Redis is provisioned as a real 3-shard cluster below via docker
# run (see the "Start Redis Cluster" step). GHA services can't
# override the image CMD or stand up multi-container clusters, so
# that setup is inlined — it mirrors the topology of the local dev
# compose stack (autogpt_platform/docker-compose.platform.yml) and
# prod helm chart.
redis:
image: redis:latest
ports:
- 6379:6379
rabbitmq:
image: rabbitmq:4.1.4
ports:
@@ -168,68 +83,6 @@ jobs:
with:
python-version: ${{ matrix.python-version }}
- name: Start Redis Cluster (3 shards)
run: |
# 3-master Redis Cluster matching the local compose stack
# (autogpt_platform/docker-compose.platform.yml) and prod. Each
# shard runs in its own container on a dedicated bridge network,
# announces its compose-style hostname for intra-network clients,
# and publishes 1700N on the GHA host so tests can reach every
# shard via localhost. The backend's ``_address_remap`` rewrites
# every CLUSTER SLOTS reply to localhost:<announced-port>, which
# picks the right published port per shard.
#
# Not reusing docker-compose.platform.yml directly because compose
# validates the full file even when only some services are ``up``,
# and that file references services (db/kong/...) defined in a
# sibling compose file — pulling both in would needlessly couple
# CI to the full local-dev stack.
docker network create redis-cluster-ci
for i in 0 1 2; do
port=$((17000 + i))
bus=$((27000 + i))
docker run -d --name redis-$i --network redis-cluster-ci \
--network-alias redis-$i \
-p $port:$port \
redis:7 \
redis-server --port $port \
--cluster-enabled yes \
--cluster-config-file nodes.conf \
--cluster-node-timeout 5000 \
--cluster-require-full-coverage no \
--cluster-announce-hostname redis-$i \
--cluster-announce-port $port \
--cluster-announce-bus-port $bus \
--cluster-preferred-endpoint-type hostname
done
# Wait for each shard to accept commands.
for i in 0 1 2; do
port=$((17000 + i))
for _ in $(seq 1 30); do
docker exec redis-$i redis-cli -p $port ping 2>/dev/null | grep -q PONG && break
sleep 1
done
done
# Form the cluster from an init container on the same network so
# --cluster-preferred-endpoint-type hostname resolves redis-0/1/2.
docker run --rm --network redis-cluster-ci redis:7 \
redis-cli --cluster create \
redis-0:17000 redis-1:17001 redis-2:17002 \
--cluster-replicas 0 --cluster-yes
# Confirm convergence.
for _ in $(seq 1 30); do
state=$(docker exec redis-0 redis-cli -p 17000 cluster info | awk -F: '/^cluster_state:/ {print $2}' | tr -d '[:cntrl:]')
if [ "$state" = "ok" ]; then
echo "Redis Cluster ready (3 shards, state=ok)"
docker exec redis-0 redis-cli -p 17000 cluster nodes
exit 0
fi
sleep 1
done
echo "Redis Cluster failed to reach ok state" >&2
docker exec redis-0 redis-cli -p 17000 cluster info >&2 || true
exit 1
- name: Setup Supabase
uses: supabase/setup-cli@v1
with:
@@ -243,9 +96,9 @@ jobs:
uses: actions/cache@v5
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-py${{ matrix.python-version }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
- name: Install Poetry
- name: Install Poetry (Unix)
run: |
# Extract Poetry version from backend/poetry.lock
HEAD_POETRY_VERSION=$(python ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
@@ -303,22 +156,22 @@ jobs:
echo "Waiting for ClamAV daemon to start..."
max_attempts=60
attempt=0
until nc -z localhost 3310 || [ $attempt -eq $max_attempts ]; do
echo "ClamAV is unavailable - sleeping (attempt $((attempt+1))/$max_attempts)"
sleep 5
attempt=$((attempt+1))
done
if [ $attempt -eq $max_attempts ]; then
echo "ClamAV failed to start after $((max_attempts*5)) seconds"
echo "Checking ClamAV service logs..."
docker logs $(docker ps -q --filter "ancestor=clamav/clamav-debian:latest") 2>&1 | tail -50 || echo "No ClamAV container found"
exit 1
fi
echo "ClamAV is ready!"
# Verify ClamAV is responsive
echo "Testing ClamAV connection..."
timeout 10 bash -c 'echo "PING" | nc localhost 3310' || {
@@ -333,15 +186,18 @@ jobs:
DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
DIRECT_URL: ${{ steps.supabase.outputs.DB_URL }}
- id: lint
name: Run Linter
run: poetry run lint
- name: Run pytest with coverage
run: |
if [[ "${{ runner.debug }}" == "1" ]]; then
poetry run pytest -s -vv -o log_cli=true -o log_cli_level=DEBUG \
--cov=backend --cov-branch --cov-report term-missing --cov-report xml
poetry run pytest -s -vv -o log_cli=true -o log_cli_level=DEBUG
else
poetry run pytest -s -vv \
--cov=backend --cov-branch --cov-report term-missing --cov-report xml
poetry run pytest -s -vv
fi
if: success() || (failure() && steps.lint.outcome == 'failure')
env:
LOG_LEVEL: ${{ runner.debug && 'DEBUG' || 'INFO' }}
DATABASE_URL: ${{ steps.supabase.outputs.DB_URL }}
@@ -350,21 +206,8 @@ jobs:
SUPABASE_SERVICE_ROLE_KEY: ${{ steps.supabase.outputs.SERVICE_ROLE_KEY }}
JWT_VERIFY_KEY: ${{ steps.supabase.outputs.JWT_SECRET }}
REDIS_HOST: "localhost"
REDIS_PORT: "17000"
REDIS_PORT: "6379"
ENCRYPTION_KEY: "dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw=" # DO NOT USE IN PRODUCTION!!
# Opt-in: lets backend/data/e2e_redis_restart_test.py spin up its
# own isolated 3-shard cluster (ports 2711027112) and exercise
# ``docker restart <shard>`` mid-stream. Off locally so a
# contributor's ``poetry run test`` doesn't pay the ~15s cost.
E2E_RESTART_ISOLATED: "1"
- name: Upload coverage reports to Codecov
if: ${{ !cancelled() }}
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: platform-backend
files: ./autogpt_platform/backend/coverage.xml
env:
CI: true
@@ -379,3 +222,9 @@ jobs:
# the backend service, docker composes, and examples
RABBITMQ_DEFAULT_USER: "rabbitmq_user_default"
RABBITMQ_DEFAULT_PASS: "k0VMxyIJF9S35f3x2uaw5IWAl6Y536O7"
# - name: Upload coverage reports to Codecov
# uses: codecov/codecov-action@v4
# with:
# token: ${{ secrets.CODECOV_TOKEN }}
# flags: backend,${{ runner.os }}

View File

@@ -120,6 +120,175 @@ jobs:
token: ${{ secrets.GITHUB_TOKEN }}
exitOnceUploaded: true
e2e_test:
name: end-to-end tests
runs-on: big-boi
steps:
- name: Checkout repository
uses: actions/checkout@v6
with:
submodules: recursive
- name: Set up Platform - Copy default supabase .env
run: |
cp ../.env.default ../.env
- name: Set up Platform - Copy backend .env and set OpenAI API key
run: |
cp ../backend/.env.default ../backend/.env
echo "OPENAI_INTERNAL_API_KEY=${{ secrets.OPENAI_API_KEY }}" >> ../backend/.env
env:
# Used by E2E test data script to generate embeddings for approved store agents
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
- name: Set up Platform - Set up Docker Buildx
uses: docker/setup-buildx-action@v3
with:
driver: docker-container
driver-opts: network=host
- name: Set up Platform - Expose GHA cache to docker buildx CLI
uses: crazy-max/ghaction-github-runtime@v4
- name: Set up Platform - Build Docker images (with cache)
working-directory: autogpt_platform
run: |
pip install pyyaml
# Resolve extends and generate a flat compose file that bake can understand
docker compose -f docker-compose.yml config > docker-compose.resolved.yml
# Add cache configuration to the resolved compose file
python ../.github/workflows/scripts/docker-ci-fix-compose-build-cache.py \
--source docker-compose.resolved.yml \
--cache-from "type=gha" \
--cache-to "type=gha,mode=max" \
--backend-hash "${{ hashFiles('autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/poetry.lock', 'autogpt_platform/backend/backend') }}" \
--frontend-hash "${{ hashFiles('autogpt_platform/frontend/Dockerfile', 'autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/src') }}" \
--git-ref "${{ 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
- name: Set up tests - Cache E2E test data
id: e2e-data-cache
uses: actions/cache@v5
with:
path: /tmp/e2e_test_data.sql
key: e2e-test-data-${{ hashFiles('autogpt_platform/backend/test/e2e_test_data.py', 'autogpt_platform/backend/migrations/**', '.github/workflows/platform-frontend-ci.yml') }}
- name: Set up Platform - Start Supabase DB + Auth
run: |
docker compose -f ../docker-compose.resolved.yml up -d db auth --no-build
echo "Waiting for database to be ready..."
timeout 60 sh -c 'until docker compose -f ../docker-compose.resolved.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done'
echo "Waiting for auth service to be ready..."
timeout 60 sh -c 'until docker compose -f ../docker-compose.resolved.yml exec -T db psql -U postgres -d postgres -c "SELECT 1 FROM auth.users LIMIT 1" 2>/dev/null; do sleep 2; done' || echo "Auth schema check timeout, continuing..."
- name: Set up Platform - Run migrations
run: |
echo "Running migrations..."
docker compose -f ../docker-compose.resolved.yml run --rm migrate
echo "✅ Migrations completed"
env:
NEXT_PUBLIC_PW_TEST: true
- name: Set up tests - Load cached E2E test data
if: steps.e2e-data-cache.outputs.cache-hit == 'true'
run: |
echo "✅ Found cached E2E test data, restoring..."
{
echo "SET session_replication_role = 'replica';"
cat /tmp/e2e_test_data.sql
echo "SET session_replication_role = 'origin';"
} | docker compose -f ../docker-compose.resolved.yml exec -T db psql -U postgres -d postgres -b
# Refresh materialized views after restore
docker compose -f ../docker-compose.resolved.yml exec -T db \
psql -U postgres -d postgres -b -c "SET search_path TO platform; SELECT refresh_store_materialized_views();" || true
echo "✅ E2E test data restored from cache"
- name: Set up Platform - Start (all other services)
run: |
docker compose -f ../docker-compose.resolved.yml up -d --no-build
echo "Waiting for rest_server to be ready..."
timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
env:
NEXT_PUBLIC_PW_TEST: true
- name: Set up tests - Create E2E test data
if: steps.e2e-data-cache.outputs.cache-hit != 'true'
run: |
echo "Creating E2E test data..."
docker cp ../backend/test/e2e_test_data.py $(docker compose -f ../docker-compose.resolved.yml ps -q rest_server):/tmp/e2e_test_data.py
docker compose -f ../docker-compose.resolved.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python /tmp/e2e_test_data.py" || {
echo "❌ E2E test data creation failed!"
docker compose -f ../docker-compose.resolved.yml logs --tail=50 rest_server
exit 1
}
# Dump auth.users + platform schema for cache (two separate dumps)
echo "Dumping database for cache..."
{
docker compose -f ../docker-compose.resolved.yml exec -T db \
pg_dump -U postgres --data-only --column-inserts \
--table='auth.users' postgres
docker compose -f ../docker-compose.resolved.yml exec -T db \
pg_dump -U postgres --data-only --column-inserts \
--schema=platform \
--exclude-table='platform._prisma_migrations' \
--exclude-table='platform.apscheduler_jobs' \
--exclude-table='platform.apscheduler_jobs_batched_notifications' \
postgres
} > /tmp/e2e_test_data.sql
echo "✅ Database dump created for caching ($(wc -l < /tmp/e2e_test_data.sql) lines)"
- name: Set up tests - Enable corepack
run: corepack enable
- name: Set up tests - Set up Node
uses: actions/setup-node@v6
with:
node-version: "22.18.0"
cache: "pnpm"
cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
- 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
continue-on-error: false
- name: Upload Playwright report
if: always()
uses: actions/upload-artifact@v4
with:
name: playwright-report
path: playwright-report
if-no-files-found: ignore
retention-days: 3
- name: Upload Playwright test results
if: always()
uses: actions/upload-artifact@v4
with:
name: playwright-test-results
path: test-results
if-no-files-found: ignore
retention-days: 3
- name: Print Final Docker Compose logs
if: always()
run: docker compose -f ../docker-compose.resolved.yml logs
integration_test:
runs-on: ubuntu-latest
needs: setup
@@ -148,11 +317,3 @@ jobs:
- name: Run Integration Tests
run: pnpm test:unit
- name: Upload coverage reports to Codecov
if: ${{ !cancelled() }}
uses: codecov/codecov-action@v5
with:
token: ${{ secrets.CODECOV_TOKEN }}
flags: platform-frontend
files: ./autogpt_platform/frontend/coverage/cobertura-coverage.xml

View File

@@ -1,18 +1,14 @@
name: AutoGPT Platform - Full-stack CI
name: AutoGPT Platform - Frontend CI
on:
push:
branches: [master, dev]
paths:
- ".github/workflows/platform-fullstack-ci.yml"
- ".github/workflows/scripts/docker-ci-fix-compose-build-cache.py"
- ".github/workflows/scripts/get_package_version_from_lockfile.py"
- "autogpt_platform/**"
pull_request:
paths:
- ".github/workflows/platform-fullstack-ci.yml"
- ".github/workflows/scripts/docker-ci-fix-compose-build-cache.py"
- ".github/workflows/scripts/get_package_version_from_lockfile.py"
- "autogpt_platform/**"
merge_group:
@@ -28,28 +24,42 @@ defaults:
jobs:
setup:
runs-on: ubuntu-latest
outputs:
cache-key: ${{ steps.cache-key.outputs.key }}
steps:
- name: Checkout repository
uses: actions/checkout@v6
- name: Enable corepack
run: corepack enable
- name: Set up Node
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: "22.18.0"
cache: "pnpm"
cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
- name: Install dependencies to populate cache
- name: Enable corepack
run: corepack enable
- name: Generate cache key
id: cache-key
run: echo "key=${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}" >> $GITHUB_OUTPUT
- name: Cache dependencies
uses: actions/cache@v5
with:
path: ~/.pnpm-store
key: ${{ steps.cache-key.outputs.key }}
restore-keys: |
${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml') }}
${{ runner.os }}-pnpm-
- name: Install dependencies
run: pnpm install --frozen-lockfile
check-api-types:
name: check API types
runs-on: ubuntu-latest
types:
runs-on: big-boi
needs: setup
strategy:
fail-fast: false
steps:
- name: Checkout repository
@@ -57,288 +67,70 @@ jobs:
with:
submodules: recursive
# ------------------------ Backend setup ------------------------
- name: Set up Backend - Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.12"
- name: Set up Backend - Install Poetry
working-directory: autogpt_platform/backend
run: |
POETRY_VERSION=$(python ../../.github/workflows/scripts/get_package_version_from_lockfile.py poetry)
echo "Installing Poetry version ${POETRY_VERSION}"
curl -sSL https://install.python-poetry.org | POETRY_VERSION=$POETRY_VERSION python3 -
- name: Set up Backend - Set up dependency cache
uses: actions/cache@v5
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
- name: Set up Backend - Install dependencies
working-directory: autogpt_platform/backend
run: poetry install
- name: Set up Backend - Generate Prisma client
working-directory: autogpt_platform/backend
run: poetry run prisma generate && poetry run gen-prisma-stub
- name: Set up Frontend - Export OpenAPI schema from Backend
working-directory: autogpt_platform/backend
run: poetry run export-api-schema --output ../frontend/src/app/api/openapi.json
# ------------------------ Frontend setup ------------------------
- name: Set up Frontend - Enable corepack
run: corepack enable
- name: Set up Frontend - Set up Node
- name: Set up Node.js
uses: actions/setup-node@v6
with:
node-version: "22.18.0"
cache: "pnpm"
cache-dependency-path: autogpt_platform/frontend/pnpm-lock.yaml
- name: Set up Frontend - Install dependencies
- name: Enable corepack
run: corepack enable
- name: Copy default supabase .env
run: |
cp ../.env.default ../.env
- name: Copy backend .env
run: |
cp ../backend/.env.default ../backend/.env
- name: Run docker compose
run: |
docker compose -f ../docker-compose.yml --profile local up -d deps_backend
- name: Restore dependencies cache
uses: actions/cache@v5
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}
restore-keys: |
${{ runner.os }}-pnpm-
- name: Install dependencies
run: pnpm install --frozen-lockfile
- name: Set up Frontend - Format OpenAPI schema
id: format-schema
run: pnpm prettier --write ./src/app/api/openapi.json
- name: Setup .env
run: cp .env.default .env
- name: Wait for services to be ready
run: |
echo "Waiting for rest_server to be ready..."
timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
echo "Waiting for database to be ready..."
timeout 60 sh -c 'until docker compose -f ../docker-compose.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done' || echo "Database ready check timeout, continuing..."
- name: Generate API queries
run: pnpm generate:api:force
- name: Check for API schema changes
run: |
if ! git diff --exit-code src/app/api/openapi.json; then
echo "❌ API schema changes detected in src/app/api/openapi.json"
echo ""
echo "The openapi.json file has been modified after exporting the API schema."
echo "The openapi.json file has been modified after running 'pnpm generate:api-all'."
echo "This usually means changes have been made in the BE endpoints without updating the Frontend."
echo "The API schema is now out of sync with the Front-end queries."
echo ""
echo "To fix this:"
echo "\nIn the backend directory:"
echo "1. Run 'poetry run export-api-schema --output ../frontend/src/app/api/openapi.json'"
echo "\nIn the frontend directory:"
echo "2. Run 'pnpm prettier --write src/app/api/openapi.json'"
echo "3. Run 'pnpm generate:api'"
echo "4. Run 'pnpm types'"
echo "5. Fix any TypeScript errors that may have been introduced"
echo "6. Commit and push your changes"
echo "1. Pull the backend 'docker compose pull && docker compose up -d --build --force-recreate'"
echo "2. Run 'pnpm generate:api' locally"
echo "3. Run 'pnpm types' locally"
echo "4. Fix any TypeScript errors that may have been introduced"
echo "5. Commit and push your changes"
echo ""
exit 1
else
echo "✅ No API schema changes detected"
fi
- name: Set up Frontend - Generate API client
id: generate-api-client
run: pnpm orval --config ./orval.config.ts
# Continue with type generation & check even if there are schema changes
if: success() || (steps.format-schema.outcome == 'success')
- name: Check for TypeScript errors
- name: Run Typescript checks
run: pnpm types
if: success() || (steps.generate-api-client.outcome == 'success')
e2e_test:
name: end-to-end tests
runs-on: big-boi
steps:
- name: Checkout repository
uses: actions/checkout@v6
with:
submodules: recursive
- name: Set up Platform - Copy default supabase .env
run: |
cp ../.env.default ../.env
- name: Set up Platform - Copy backend .env and set OpenAI API key
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: ${{ secrets.OPENAI_API_KEY }}
- name: Set up Platform - Set up Docker Buildx
uses: docker/setup-buildx-action@v3
with:
driver: docker-container
driver-opts: network=host
- name: Set up Platform - Expose GHA cache to docker buildx CLI
uses: crazy-max/ghaction-github-runtime@v4
- name: Set up Platform - Build Docker images (with cache)
working-directory: autogpt_platform
run: |
pip install pyyaml
# Resolve extends and generate a flat compose file that bake can understand
export NEXT_PUBLIC_SOURCEMAPS NEXT_PUBLIC_PW_TEST
docker compose -f docker-compose.yml config > docker-compose.resolved.yml
# Ensure NEXT_PUBLIC_SOURCEMAPS is in resolved compose
# (docker compose config on some versions drops this arg)
if ! grep -q "NEXT_PUBLIC_SOURCEMAPS" docker-compose.resolved.yml; then
echo "Injecting NEXT_PUBLIC_SOURCEMAPS into resolved compose (docker compose config dropped it)"
sed -i '/NEXT_PUBLIC_PW_TEST/a\ NEXT_PUBLIC_SOURCEMAPS: "true"' docker-compose.resolved.yml
fi
# Add cache configuration to the resolved compose file
python ../.github/workflows/scripts/docker-ci-fix-compose-build-cache.py \
--source docker-compose.resolved.yml \
--cache-from "type=gha" \
--cache-to "type=gha,mode=max" \
--backend-hash "${{ hashFiles('autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/poetry.lock', 'autogpt_platform/backend/backend/**') }}" \
--frontend-hash "${{ hashFiles('autogpt_platform/frontend/Dockerfile', 'autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/src/**') }}-sourcemaps" \
--git-ref "${{ 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
uses: actions/cache@v5
with:
path: /tmp/e2e_test_data.sql
key: e2e-test-data-${{ hashFiles('autogpt_platform/backend/test/e2e_test_data.py', 'autogpt_platform/backend/migrations/**', '.github/workflows/platform-fullstack-ci.yml') }}
- name: Set up Platform - Start Supabase DB + Auth
run: |
docker compose -f ../docker-compose.resolved.yml up -d db auth --no-build
echo "Waiting for database to be ready..."
timeout 60 sh -c 'until docker compose -f ../docker-compose.resolved.yml exec -T db pg_isready -U postgres 2>/dev/null; do sleep 2; done'
echo "Waiting for auth service to be ready..."
timeout 60 sh -c 'until docker compose -f ../docker-compose.resolved.yml exec -T db psql -U postgres -d postgres -c "SELECT 1 FROM auth.users LIMIT 1" 2>/dev/null; do sleep 2; done' || echo "Auth schema check timeout, continuing..."
- name: Set up Platform - Run migrations
run: |
echo "Running migrations..."
docker compose -f ../docker-compose.resolved.yml run --rm migrate
echo "✅ Migrations completed"
env:
NEXT_PUBLIC_PW_TEST: true
- name: Set up tests - Load cached E2E test data
if: steps.e2e-data-cache.outputs.cache-hit == 'true'
run: |
echo "✅ Found cached E2E test data, restoring..."
{
echo "SET session_replication_role = 'replica';"
cat /tmp/e2e_test_data.sql
echo "SET session_replication_role = 'origin';"
} | docker compose -f ../docker-compose.resolved.yml exec -T db psql -U postgres -d postgres -b
# Refresh materialized views after restore
docker compose -f ../docker-compose.resolved.yml exec -T db \
psql -U postgres -d postgres -b -c "SET search_path TO platform; SELECT refresh_store_materialized_views();" || true
echo "✅ E2E test data restored from cache"
- name: Set up Platform - Start (all other services)
run: |
docker compose -f ../docker-compose.resolved.yml up -d --no-build
echo "Waiting for rest_server to be ready..."
timeout 60 sh -c 'until curl -f http://localhost:8006/health 2>/dev/null; do sleep 2; done' || echo "Rest server health check timeout, continuing..."
env:
NEXT_PUBLIC_PW_TEST: true
- name: Set up tests - Create E2E test data
if: steps.e2e-data-cache.outputs.cache-hit != 'true'
run: |
echo "Creating E2E test data..."
docker cp ../backend/test/e2e_test_data.py $(docker compose -f ../docker-compose.resolved.yml ps -q rest_server):/tmp/e2e_test_data.py
docker compose -f ../docker-compose.resolved.yml exec -T rest_server sh -c "cd /app/autogpt_platform && python /tmp/e2e_test_data.py" || {
echo "❌ E2E test data creation failed!"
docker compose -f ../docker-compose.resolved.yml logs --tail=50 rest_server
exit 1
}
# Dump auth.users + platform schema for cache (two separate dumps)
echo "Dumping database for cache..."
{
docker compose -f ../docker-compose.resolved.yml exec -T db \
pg_dump -U postgres --data-only --column-inserts \
--table='auth.users' postgres
docker compose -f ../docker-compose.resolved.yml exec -T db \
pg_dump -U postgres --data-only --column-inserts \
--schema=platform \
--exclude-table='platform._prisma_migrations' \
--exclude-table='platform.apscheduler_jobs' \
--exclude-table='platform.apscheduler_jobs_batched_notifications' \
postgres
} > /tmp/e2e_test_data.sql
echo "✅ Database dump created for caching ($(wc -l < /tmp/e2e_test_data.sql) lines)"
- name: Set up tests - Enable corepack
run: corepack enable
- name: Set up tests - Set up Node
uses: actions/setup-node@v6
with:
node-version: "22.18.0"
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 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
with:
name: playwright-report
path: autogpt_platform/frontend/playwright-report
if-no-files-found: ignore
retention-days: 3
- name: Upload Playwright test results
if: always()
uses: actions/upload-artifact@v4
with:
name: playwright-test-results
path: autogpt_platform/frontend/test-results
if-no-files-found: ignore
retention-days: 3
- name: Print Final Docker Compose logs
if: always()
run: docker compose -f ../docker-compose.resolved.yml logs

17
.gitignore vendored
View File

@@ -3,7 +3,6 @@
classic/original_autogpt/keys.py
classic/original_autogpt/*.json
auto_gpt_workspace/*
.autogpt/
*.mpeg
.env
# Root .env files
@@ -17,7 +16,6 @@ log-ingestion.txt
/logs
*.log
*.mp3
!autogpt_platform/frontend/public/notification.mp3
mem.sqlite3
venvAutoGPT
@@ -161,10 +159,6 @@ CURRENT_BULLETIN.md
# AgBenchmark
classic/benchmark/agbenchmark/reports/
classic/reports/
classic/direct_benchmark/reports/
classic/.benchmark_workspaces/
classic/direct_benchmark/.benchmark_workspaces/
# Nodejs
package-lock.json
@@ -183,20 +177,9 @@ autogpt_platform/backend/settings.py
*.ign.*
.test-contents
**/.claude/settings.local.json
.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/
# Playwright MCP / local browser-testing artifacts
.playwright-mcp/
copilot-session-switch-qa/

View File

@@ -1,36 +0,0 @@
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''',
]

3
.gitmodules vendored Normal file
View File

@@ -0,0 +1,3 @@
[submodule "classic/forge/tests/vcr_cassettes"]
path = classic/forge/tests/vcr_cassettes
url = https://github.com/Significant-Gravitas/Auto-GPT-test-cassettes

View File

@@ -23,15 +23,9 @@ 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|\.env\.(default|example|template))$
- repo: https://github.com/gitleaks/gitleaks
rev: v8.24.3
hooks:
- id: gitleaks
name: Detect secrets (gitleaks)
exclude: pnpm-lock\.yaml$
stages: [pre-push]
- repo: local
# For proper type checking, all dependencies need to be up-to-date.
@@ -90,16 +84,51 @@ repos:
stages: [pre-commit, post-checkout]
- id: poetry-install
name: Check & Install dependencies - Classic
alias: poetry-install-classic
name: Check & Install dependencies - Classic - AutoGPT
alias: poetry-install-classic-autogpt
entry: >
bash -c '
if [ -n "$PRE_COMMIT_FROM_REF" ]; then
git diff --name-only "$PRE_COMMIT_FROM_REF" "$PRE_COMMIT_TO_REF"
else
git diff --cached --name-only
fi | grep -qE "^classic/poetry\.lock$" || exit 0;
poetry -C classic install
fi | grep -qE "^classic/(original_autogpt|forge)/poetry\.lock$" || exit 0;
poetry -C classic/original_autogpt install
'
# include forge source (since it's a path dependency)
always_run: true
language: system
pass_filenames: false
stages: [pre-commit, post-checkout]
- id: poetry-install
name: Check & Install dependencies - Classic - Forge
alias: poetry-install-classic-forge
entry: >
bash -c '
if [ -n "$PRE_COMMIT_FROM_REF" ]; then
git diff --name-only "$PRE_COMMIT_FROM_REF" "$PRE_COMMIT_TO_REF"
else
git diff --cached --name-only
fi | grep -qE "^classic/forge/poetry\.lock$" || exit 0;
poetry -C classic/forge install
'
always_run: true
language: system
pass_filenames: false
stages: [pre-commit, post-checkout]
- id: poetry-install
name: Check & Install dependencies - Classic - Benchmark
alias: poetry-install-classic-benchmark
entry: >
bash -c '
if [ -n "$PRE_COMMIT_FROM_REF" ]; then
git diff --name-only "$PRE_COMMIT_FROM_REF" "$PRE_COMMIT_TO_REF"
else
git diff --cached --name-only
fi | grep -qE "^classic/benchmark/poetry\.lock$" || exit 0;
poetry -C classic/benchmark install
'
always_run: true
language: system
@@ -194,10 +223,26 @@ repos:
language: system
- id: isort
name: Lint (isort) - Classic
alias: isort-classic
entry: bash -c 'cd classic && poetry run isort $(echo "$@" | sed "s|classic/||g")' --
files: ^classic/(original_autogpt|forge|direct_benchmark)/
name: Lint (isort) - Classic - AutoGPT
alias: isort-classic-autogpt
entry: poetry -P classic/original_autogpt run isort -p autogpt
files: ^classic/original_autogpt/
types: [file, python]
language: system
- id: isort
name: Lint (isort) - Classic - Forge
alias: isort-classic-forge
entry: poetry -P classic/forge run isort -p forge
files: ^classic/forge/
types: [file, python]
language: system
- id: isort
name: Lint (isort) - Classic - Benchmark
alias: isort-classic-benchmark
entry: poetry -P classic/benchmark run isort -p agbenchmark
files: ^classic/benchmark/
types: [file, python]
language: system
@@ -211,13 +256,26 @@ repos:
- repo: https://github.com/PyCQA/flake8
rev: 7.0.0
# Use consolidated flake8 config at classic/.flake8
# To have flake8 load the config of the individual subprojects, we have to call
# them separately.
hooks:
- id: flake8
name: Lint (Flake8) - Classic
alias: flake8-classic
files: ^classic/(original_autogpt|forge|direct_benchmark)/
args: [--config=classic/.flake8]
name: Lint (Flake8) - Classic - AutoGPT
alias: flake8-classic-autogpt
files: ^classic/original_autogpt/(autogpt|scripts|tests)/
args: [--config=classic/original_autogpt/.flake8]
- id: flake8
name: Lint (Flake8) - Classic - Forge
alias: flake8-classic-forge
files: ^classic/forge/(forge|tests)/
args: [--config=classic/forge/.flake8]
- id: flake8
name: Lint (Flake8) - Classic - Benchmark
alias: flake8-classic-benchmark
files: ^classic/benchmark/(agbenchmark|tests)/((?!reports).)*[/.]
args: [--config=classic/benchmark/.flake8]
- repo: local
hooks:
@@ -253,10 +311,29 @@ repos:
pass_filenames: false
- id: pyright
name: Typecheck - Classic
alias: pyright-classic
entry: poetry -C classic run pyright
files: ^classic/(original_autogpt|forge|direct_benchmark)/.*\.py$|^classic/poetry\.lock$
name: Typecheck - Classic - AutoGPT
alias: pyright-classic-autogpt
entry: poetry -C classic/original_autogpt run pyright
# include forge source (since it's a path dependency) but exclude *_test.py files:
files: ^(classic/original_autogpt/((autogpt|scripts|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
types: [file]
language: system
pass_filenames: false
- id: pyright
name: Typecheck - Classic - Forge
alias: pyright-classic-forge
entry: poetry -C classic/forge run pyright
files: ^classic/forge/(forge/|poetry\.lock$)
types: [file]
language: system
pass_filenames: false
- id: pyright
name: Typecheck - Classic - Benchmark
alias: pyright-classic-benchmark
entry: poetry -C classic/benchmark run pyright
files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
types: [file]
language: system
pass_filenames: false
@@ -283,9 +360,26 @@ repos:
# pass_filenames: false
# - id: pytest
# name: Run tests - Classic (excl. slow tests)
# alias: pytest-classic
# entry: bash -c 'cd classic && poetry run pytest -m "not slow"'
# files: ^classic/(original_autogpt|forge|direct_benchmark)/
# name: Run tests - Classic - AutoGPT (excl. slow tests)
# alias: pytest-classic-autogpt
# entry: bash -c 'cd classic/original_autogpt && poetry run pytest --cov=autogpt -m "not slow" tests/unit tests/integration'
# # include forge source (since it's a path dependency) but exclude *_test.py files:
# files: ^(classic/original_autogpt/((autogpt|tests)/|poetry\.lock$)|classic/forge/(forge/.*(?<!_test)\.py|poetry\.lock)$)
# language: system
# pass_filenames: false
# - id: pytest
# name: Run tests - Classic - Forge (excl. slow tests)
# alias: pytest-classic-forge
# entry: bash -c 'cd classic/forge && poetry run pytest --cov=forge -m "not slow"'
# files: ^classic/forge/(forge/|tests/|poetry\.lock$)
# language: system
# pass_filenames: false
# - id: pytest
# name: Run tests - Classic - Benchmark
# alias: pytest-classic-benchmark
# entry: bash -c 'cd classic/benchmark && poetry run pytest --cov=benchmark'
# files: ^classic/benchmark/(agbenchmark/|tests/|poetry\.lock$)
# language: system
# pass_filenames: false

View File

@@ -1,471 +0,0 @@
{
"version": "1.5.0",
"plugins_used": [
{
"name": "ArtifactoryDetector"
},
{
"name": "AWSKeyDetector"
},
{
"name": "AzureStorageKeyDetector"
},
{
"name": "Base64HighEntropyString",
"limit": 4.5
},
{
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@@ -1,6 +1,6 @@
# AutoGPT Platform Contribution Guide
This guide provides context for coding agents when updating the **autogpt_platform** folder.
This guide provides context for Codex when updating the **autogpt_platform** folder.
## Directory overview
@@ -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**: 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`
5. **Testing**: Add Storybook stories for new components, Playwright for E2E
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
@@ -47,9 +47,7 @@ See `/frontend/CONTRIBUTING.md` for complete patterns. Quick reference:
## Testing
- Backend: `poetry run test` (runs pytest with a docker based postgres + prisma).
- 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.
- Frontend: `pnpm test` or `pnpm test-ui` for Playwright tests. See `docs/content/platform/contributing/tests.md` for tips.
Always run the relevant linters and tests before committing.
Use conventional commit messages for all commits (e.g. `feat(backend): add API`).

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

View File

@@ -83,13 +83,13 @@ The AutoGPT frontend is where users interact with our powerful AI automation pla
**Agent Builder:** For those who want to customize, our intuitive, low-code interface allows you to design and configure your own AI agents.
**Workflow Management:** Build, modify, and optimize your automation workflows with ease. You build your agent by connecting blocks, where each block performs a single action.
**Workflow Management:** Build, modify, and optimize your automation workflows with ease. You build your agent by connecting blocks, where each block performs a single action.
**Deployment Controls:** Manage the lifecycle of your agents, from testing to production.
**Ready-to-Use Agents:** Don't want to build? Simply select from our library of pre-configured agents and put them to work immediately.
**Agent Interaction:** Whether you've built your own or are using pre-configured agents, easily run and interact with them through our user-friendly interface.
**Agent Interaction:** Whether you've built your own or are using pre-configured agents, easily run and interact with them through our user-friendly interface.
**Monitoring and Analytics:** Keep track of your agents' performance and gain insights to continually improve your automation processes.

View File

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

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@@ -1,120 +0,0 @@
# AutoGPT Platform
This file provides guidance to coding agents when working with code in this repository.
## Repository Overview
AutoGPT Platform is a monorepo containing:
- **Backend** (`backend`): Python FastAPI server with async support
- **Frontend** (`frontend`): Next.js React application
- **Shared Libraries** (`autogpt_libs`): Common Python utilities
## Component Documentation
- **Backend**: See @backend/AGENTS.md for backend-specific commands, architecture, and development tasks
- **Frontend**: See @frontend/AGENTS.md for frontend-specific commands, architecture, and development patterns
## Key Concepts
1. **Agent Graphs**: Workflow definitions stored as JSON, executed by the backend
2. **Blocks**: Reusable components in `backend/backend/blocks/` that perform specific tasks
3. **Integrations**: OAuth and API connections stored per user
4. **Store**: Marketplace for sharing agent templates
5. **Virus Scanning**: ClamAV integration for file upload security
### Environment Configuration
#### Configuration Files
- **Backend**: `backend/.env.default` (defaults) → `backend/.env` (user overrides)
- **Frontend**: `frontend/.env.default` (defaults) → `frontend/.env` (user overrides)
- **Platform**: `.env.default` (Supabase/shared defaults) → `.env` (user overrides)
#### Docker Environment Loading Order
1. `.env.default` files provide base configuration (tracked in git)
2. `.env` files provide user-specific overrides (gitignored)
3. Docker Compose `environment:` sections provide service-specific overrides
4. Shell environment variables have highest precedence
#### Key Points
- All services use hardcoded defaults in docker-compose files (no `${VARIABLE}` substitutions)
- The `env_file` directive loads variables INTO containers at runtime
- Backend/Frontend services use YAML anchors for consistent configuration
- Supabase services (`db/docker/docker-compose.yml`) follow the same pattern
### Branching Strategy
- **`dev`** is the main development branch. All PRs should target `dev`.
- **`master`** is the production branch. Only used for production releases.
### Creating Pull Requests
- Create the PR against the `dev` branch of the repository.
- **Split PRs by concern** — each PR should have a single clear purpose. For example, "usage tracking" and "credit charging" should be separate PRs even if related. Combining multiple concerns makes it harder for reviewers to understand what belongs to what.
- Ensure the branch name is descriptive (e.g., `feature/add-new-block`)
- Use conventional commit messages (see below)
- **Structure the PR description with Why / What / How** — Why: the motivation (what problem it solves, what's broken/missing without it); What: high-level summary of changes; How: approach, key implementation details, or architecture decisions. Reviewers need all three to judge whether the approach fits the problem.
- Fill out the .github/PULL_REQUEST_TEMPLATE.md template as the PR description
- Always use `--body-file` to pass PR body — avoids shell interpretation of backticks and special characters:
```bash
PR_BODY=$(mktemp)
cat > "$PR_BODY" << 'PREOF'
## Summary
- use `backticks` freely here
PREOF
gh pr create --title "..." --body-file "$PR_BODY" --base dev
rm "$PR_BODY"
```
- Run the github pre-commit hooks to ensure code quality.
### Test-Driven Development (TDD)
When fixing a bug or adding a feature, follow a test-first approach:
1. **Write a failing test first** — create a test that reproduces the bug or validates the new behavior, marked with `@pytest.mark.xfail` (backend) or `.fixme` (Playwright). Run it to confirm it fails for the right reason.
2. **Implement the fix/feature** — write the minimal code to make the test pass.
3. **Remove the xfail marker** — once the test passes, remove the `xfail`/`.fixme` annotation and run the full test suite to confirm nothing else broke.
This ensures every change is covered by a test and that the test actually validates the intended behavior.
### Reviewing/Revising Pull Requests
Use `/pr-review` to review a PR or `/pr-address` to address comments.
When fetching comments manually:
- `gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/reviews --paginate` — top-level reviews
- `gh api repos/Significant-Gravitas/AutoGPT/pulls/{N}/comments --paginate` — inline review comments (always paginate to avoid missing comments beyond page 1)
- `gh api repos/Significant-Gravitas/AutoGPT/issues/{N}/comments` — PR conversation comments
### Conventional Commits
Use this format for commit messages and Pull Request titles:
**Conventional Commit Types:**
- `feat`: Introduces a new feature to the codebase
- `fix`: Patches a bug in the codebase
- `refactor`: Code change that neither fixes a bug nor adds a feature; also applies to removing features
- `ci`: Changes to CI configuration
- `docs`: Documentation-only changes
- `dx`: Improvements to the developer experience
**Recommended Base Scopes:**
- `platform`: Changes affecting both frontend and backend
- `frontend`
- `backend`
- `infra`
- `blocks`: Modifications/additions of individual blocks
**Subscope Examples:**
- `backend/executor`
- `backend/db`
- `frontend/builder` (includes changes to the block UI component)
- `infra/prod`
Use these scopes and subscopes for clarity and consistency in commit messages.

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@@ -1 +1,95 @@
@AGENTS.md
# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Repository Overview
AutoGPT Platform is a monorepo containing:
- **Backend** (`backend`): Python FastAPI server with async support
- **Frontend** (`frontend`): Next.js React application
- **Shared Libraries** (`autogpt_libs`): Common Python utilities
## Component Documentation
- **Backend**: See @backend/CLAUDE.md for backend-specific commands, architecture, and development tasks
- **Frontend**: See @frontend/CLAUDE.md for frontend-specific commands, architecture, and development patterns
## Key Concepts
1. **Agent Graphs**: Workflow definitions stored as JSON, executed by the backend
2. **Blocks**: Reusable components in `backend/backend/blocks/` that perform specific tasks
3. **Integrations**: OAuth and API connections stored per user
4. **Store**: Marketplace for sharing agent templates
5. **Virus Scanning**: ClamAV integration for file upload security
### Environment Configuration
#### Configuration Files
- **Backend**: `backend/.env.default` (defaults) → `backend/.env` (user overrides)
- **Frontend**: `frontend/.env.default` (defaults) → `frontend/.env` (user overrides)
- **Platform**: `.env.default` (Supabase/shared defaults) → `.env` (user overrides)
#### Docker Environment Loading Order
1. `.env.default` files provide base configuration (tracked in git)
2. `.env` files provide user-specific overrides (gitignored)
3. Docker Compose `environment:` sections provide service-specific overrides
4. Shell environment variables have highest precedence
#### Key Points
- All services use hardcoded defaults in docker-compose files (no `${VARIABLE}` substitutions)
- The `env_file` directive loads variables INTO containers at runtime
- Backend/Frontend services use YAML anchors for consistent configuration
- Supabase services (`db/docker/docker-compose.yml`) follow the same pattern
### Branching Strategy
- **`dev`** is the main development branch. All PRs should target `dev`.
- **`master`** is the production branch. Only used for production releases.
### Creating Pull Requests
- Create the PR against the `dev` branch of the repository.
- Ensure the branch name is descriptive (e.g., `feature/add-new-block`)
- Use conventional commit messages (see below)
- Fill out the .github/PULL_REQUEST_TEMPLATE.md template as the PR description
- Run the github pre-commit hooks to ensure code quality.
### Reviewing/Revising Pull Requests
- When the user runs /pr-comments or tries to fetch them, also run gh api /repos/Significant-Gravitas/AutoGPT/pulls/[issuenum]/reviews to get the reviews
- Use gh api /repos/Significant-Gravitas/AutoGPT/pulls/[issuenum]/reviews/[review_id]/comments to get the review contents
- Use gh api /repos/Significant-Gravitas/AutoGPT/issues/9924/comments to get the pr specific comments
### Conventional Commits
Use this format for commit messages and Pull Request titles:
**Conventional Commit Types:**
- `feat`: Introduces a new feature to the codebase
- `fix`: Patches a bug in the codebase
- `refactor`: Code change that neither fixes a bug nor adds a feature; also applies to removing features
- `ci`: Changes to CI configuration
- `docs`: Documentation-only changes
- `dx`: Improvements to the developer experience
**Recommended Base Scopes:**
- `platform`: Changes affecting both frontend and backend
- `frontend`
- `backend`
- `infra`
- `blocks`: Modifications/additions of individual blocks
**Subscope Examples:**
- `backend/executor`
- `backend/db`
- `frontend/builder` (includes changes to the block UI component)
- `infra/prod`
Use these scopes and subscopes for clarity and consistency in commit messages.

View File

@@ -1,100 +0,0 @@
-- =============================================================
-- 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

@@ -0,0 +1,33 @@
from typing import Optional
from pydantic import Field
from pydantic_settings import BaseSettings, SettingsConfigDict
class RateLimitSettings(BaseSettings):
redis_host: str = Field(
default="redis://localhost:6379",
description="Redis host",
validation_alias="REDIS_HOST",
)
redis_port: str = Field(
default="6379", description="Redis port", validation_alias="REDIS_PORT"
)
redis_password: Optional[str] = Field(
default=None,
description="Redis password",
validation_alias="REDIS_PASSWORD",
)
requests_per_minute: int = Field(
default=60,
description="Maximum number of requests allowed per minute per API key",
validation_alias="RATE_LIMIT_REQUESTS_PER_MINUTE",
)
model_config = SettingsConfigDict(case_sensitive=True, extra="ignore")
RATE_LIMIT_SETTINGS = RateLimitSettings()

View File

@@ -0,0 +1,51 @@
import time
from typing import Tuple
from redis import Redis
from .config import RATE_LIMIT_SETTINGS
class RateLimiter:
def __init__(
self,
redis_host: str = RATE_LIMIT_SETTINGS.redis_host,
redis_port: str = RATE_LIMIT_SETTINGS.redis_port,
redis_password: str | None = RATE_LIMIT_SETTINGS.redis_password,
requests_per_minute: int = RATE_LIMIT_SETTINGS.requests_per_minute,
):
self.redis = Redis(
host=redis_host,
port=int(redis_port),
password=redis_password,
decode_responses=True,
)
self.window = 60
self.max_requests = requests_per_minute
async def check_rate_limit(self, api_key_id: str) -> Tuple[bool, int, int]:
"""
Check if request is within rate limits.
Args:
api_key_id: The API key identifier to check
Returns:
Tuple of (is_allowed, remaining_requests, reset_time)
"""
now = time.time()
window_start = now - self.window
key = f"ratelimit:{api_key_id}:1min"
pipe = self.redis.pipeline()
pipe.zremrangebyscore(key, 0, window_start)
pipe.zadd(key, {str(now): now})
pipe.zcount(key, window_start, now)
pipe.expire(key, self.window)
_, _, request_count, _ = pipe.execute()
remaining = max(0, self.max_requests - request_count)
reset_time = int(now + self.window)
return request_count <= self.max_requests, remaining, reset_time

View File

@@ -0,0 +1,32 @@
from fastapi import HTTPException, Request
from starlette.middleware.base import RequestResponseEndpoint
from .limiter import RateLimiter
async def rate_limit_middleware(request: Request, call_next: RequestResponseEndpoint):
"""FastAPI middleware for rate limiting API requests."""
limiter = RateLimiter()
if not request.url.path.startswith("/api"):
return await call_next(request)
api_key = request.headers.get("Authorization")
if not api_key:
return await call_next(request)
api_key = api_key.replace("Bearer ", "")
is_allowed, remaining, reset_time = await limiter.check_rate_limit(api_key)
if not is_allowed:
raise HTTPException(
status_code=429, detail="Rate limit exceeded. Please try again later."
)
response = await call_next(request)
response.headers["X-RateLimit-Limit"] = str(limiter.max_requests)
response.headers["X-RateLimit-Remaining"] = str(remaining)
response.headers["X-RateLimit-Reset"] = str(reset_time)
return response

View File

@@ -59,8 +59,6 @@ class OAuthState(BaseModel):
code_verifier: Optional[str] = None
scopes: list[str]
"""Unix timestamp (seconds) indicating when this OAuth state expires"""
credential_id: Optional[str] = None
"""If set, this OAuth flow upgrades an existing credential's scopes."""
class UserMetadata(BaseModel):

View File

@@ -1,16 +1,13 @@
import asyncio
from contextlib import asynccontextmanager
from typing import TYPE_CHECKING, Any, Union
from typing import TYPE_CHECKING, Any
from expiringdict import ExpiringDict
if TYPE_CHECKING:
from redis.asyncio import Redis as AsyncRedis
from redis.asyncio.cluster import RedisCluster as AsyncRedisCluster
from redis.asyncio.lock import Lock as AsyncRedisLock
AsyncRedisLike = Union[AsyncRedis, AsyncRedisCluster]
class AsyncRedisKeyedMutex:
"""
@@ -20,7 +17,7 @@ class AsyncRedisKeyedMutex:
in case the key is not unlocked for a specified duration, to prevent memory leaks.
"""
def __init__(self, redis: "AsyncRedisLike", timeout: int | None = 60):
def __init__(self, redis: "AsyncRedis", timeout: int | None = 60):
self.redis = redis
self.timeout = timeout
self.locks: dict[Any, "AsyncRedisLock"] = ExpiringDict(

View File

@@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand.
# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
[[package]]
name = "annotated-doc"
@@ -67,7 +67,7 @@ description = "Backport of asyncio.Runner, a context manager that controls event
optional = false
python-versions = "<3.11,>=3.8"
groups = ["dev"]
markers = "python_version == \"3.10\""
markers = "python_version < \"3.11\""
files = [
{file = "backports_asyncio_runner-1.2.0-py3-none-any.whl", hash = "sha256:0da0a936a8aeb554eccb426dc55af3ba63bcdc69fa1a600b5bb305413a4477b5"},
{file = "backports_asyncio_runner-1.2.0.tar.gz", hash = "sha256:a5aa7b2b7d8f8bfcaa2b57313f70792df84e32a2a746f585213373f900b42162"},
@@ -541,7 +541,7 @@ description = "Backport of PEP 654 (exception groups)"
optional = false
python-versions = ">=3.7"
groups = ["main", "dev"]
markers = "python_version == \"3.10\""
markers = "python_version < \"3.11\""
files = [
{file = "exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10"},
{file = "exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88"},
@@ -2181,14 +2181,14 @@ testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
[[package]]
name = "pytest-cov"
version = "7.1.0"
version = "7.0.0"
description = "Pytest plugin for measuring coverage."
optional = false
python-versions = ">=3.9"
groups = ["dev"]
files = [
{file = "pytest_cov-7.1.0-py3-none-any.whl", hash = "sha256:a0461110b7865f9a271aa1b51e516c9a95de9d696734a2f71e3e78f46e1d4678"},
{file = "pytest_cov-7.1.0.tar.gz", hash = "sha256:30674f2b5f6351aa09702a9c8c364f6a01c27aae0c1366ae8016160d1efc56b2"},
{file = "pytest_cov-7.0.0-py3-none-any.whl", hash = "sha256:3b8e9558b16cc1479da72058bdecf8073661c7f57f7d3c5f22a1c23507f2d861"},
{file = "pytest_cov-7.0.0.tar.gz", hash = "sha256:33c97eda2e049a0c5298e91f519302a1334c26ac65c1a483d6206fd458361af1"},
]
[package.dependencies]
@@ -2342,30 +2342,30 @@ pyasn1 = ">=0.1.3"
[[package]]
name = "ruff"
version = "0.15.7"
version = "0.15.0"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
groups = ["dev"]
files = [
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[[package]]
@@ -2564,7 +2564,7 @@ description = "A lil' TOML parser"
optional = false
python-versions = ">=3.8"
groups = ["dev"]
markers = "python_version == \"3.10\""
markers = "python_version < \"3.11\""
files = [
{file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
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@@ -2912,4 +2912,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.10,<4.0"
content-hash = "e0936a065565550afed18f6298b7e04e814b44100def7049f1a0d68662624a39"
content-hash = "9619cae908ad38fa2c48016a58bcf4241f6f5793aa0e6cc140276e91c433cbbb"

View File

@@ -26,8 +26,8 @@ pyright = "^1.1.408"
pytest = "^8.4.1"
pytest-asyncio = "^1.3.0"
pytest-mock = "^3.15.1"
pytest-cov = "^7.1.0"
ruff = "^0.15.7"
pytest-cov = "^7.0.0"
ruff = "^0.15.0"
[build-system]
requires = ["poetry-core"]

View File

@@ -37,23 +37,6 @@ JWT_VERIFY_KEY=your-super-secret-jwt-token-with-at-least-32-characters-long
ENCRYPTION_KEY=dvziYgz0KSK8FENhju0ZYi8-fRTfAdlz6YLhdB_jhNw=
UNSUBSCRIBE_SECRET_KEY=HlP8ivStJjmbf6NKi78m_3FnOogut0t5ckzjsIqeaio=
# Web Push (VAPID) — generate with: poetry run python -c "
# from py_vapid import Vapid; import base64
# from cryptography.hazmat.primitives.serialization import Encoding, PublicFormat
# v = Vapid(); v.generate_keys()
# raw_priv = v.private_key.private_numbers().private_value.to_bytes(32, 'big')
# print('VAPID_PRIVATE_KEY=' + base64.urlsafe_b64encode(raw_priv).rstrip(b'=').decode())
# raw_pub = v.public_key.public_bytes(Encoding.X962, PublicFormat.UncompressedPoint)
# print('VAPID_PUBLIC_KEY=' + base64.urlsafe_b64encode(raw_pub).rstrip(b'=').decode())
# "
# Dev-only keypair below — DO NOT use in staging/production. Regenerate
# your own with the snippet above before any non-local deployment.
VAPID_PRIVATE_KEY=17hBPdSdn6TR_yAgQxA0TjTcvRj3Lf6znHnASZ4rOKc
VAPID_PUBLIC_KEY=BBg49iVTWthVbRYphwmZNvZyiSJDqtSO4nmLxDzLKe3Oo9jbtu0Usa14xX4HQQNLUeiEfzD42zWSlrvY1PR12bs
# Per RFC 8292 push services use this in 410 Gone reports; set to a real
# mailbox in production. Defaults to a placeholder for local dev.
VAPID_CLAIM_EMAIL=mailto:dev@example.com
## ===== IMPORTANT OPTIONAL CONFIGURATION ===== ##
# Platform URLs (set these for webhooks and OAuth to work)
PLATFORM_BASE_URL=http://localhost:8000
@@ -75,17 +58,6 @@ 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
@@ -196,13 +168,6 @@ MEM0_API_KEY=
OPENWEATHERMAP_API_KEY=
GOOGLE_MAPS_API_KEY=
# Platform Bot Linking
PLATFORM_LINK_BASE_URL=http://localhost:3000/link
# CoPilot chat-platform bridge (Discord/Telegram/Slack)
# Uses FRONTEND_BASE_URL (above) for link confirmation pages.
AUTOPILOT_BOT_DISCORD_TOKEN=
# Communication Services
DISCORD_BOT_TOKEN=
MEDIUM_API_KEY=
@@ -213,7 +178,6 @@ SMTP_USERNAME=
SMTP_PASSWORD=
# Business & Marketing Tools
AGENTMAIL_API_KEY=
APOLLO_API_KEY=
ENRICHLAYER_API_KEY=
AYRSHARE_API_KEY=

View File

@@ -1,227 +0,0 @@
# Backend
This file provides guidance to coding agents when working with the backend.
## Essential Commands
To run something with Python package dependencies you MUST use `poetry run ...`.
```bash
# Install dependencies
poetry install
# Run database migrations
poetry run prisma migrate dev
# Start all services (database, redis, rabbitmq, clamav)
docker compose up -d
# Run the backend as a whole
poetry run app
# Run tests
poetry run test
# Run specific test
poetry run pytest path/to/test_file.py::test_function_name
# Run block tests (tests that validate all blocks work correctly)
poetry run pytest backend/blocks/test/test_block.py -xvs
# Run tests for a specific block (e.g., GetCurrentTimeBlock)
poetry run pytest 'backend/blocks/test/test_block.py::test_available_blocks[GetCurrentTimeBlock]' -xvs
# Lint and format
# prefer format if you want to just "fix" it and only get the errors that can't be autofixed
poetry run format # Black + isort
poetry run lint # ruff
```
More details can be found in @TESTING.md
### Creating/Updating Snapshots
When you first write a test or when the expected output changes:
```bash
poetry run pytest path/to/test.py --snapshot-update
```
⚠️ **Important**: Always review snapshot changes before committing! Use `git diff` to verify the changes are expected.
## Architecture
- **API Layer**: FastAPI with REST and WebSocket endpoints
- **Database**: PostgreSQL with Prisma ORM, includes pgvector for embeddings
- **Queue System**: RabbitMQ for async task processing
- **Execution Engine**: Separate executor service processes agent workflows
- **Authentication**: JWT-based with Supabase integration
- **Security**: Cache protection middleware prevents sensitive data caching in browsers/proxies
## Code Style
- **Top-level imports only** — no local/inner imports (lazy imports only for heavy optional deps like `openpyxl`)
- **Absolute imports** — use `from backend.module import ...` for cross-package imports. Single-dot relative (`from .sibling import ...`) is acceptable for sibling modules within the same package (e.g., blocks). Avoid double-dot relative imports (`from ..parent import ...`) — use the absolute path instead
- **No duck typing** — no `hasattr`/`getattr`/`isinstance` for type dispatch; use typed interfaces/unions/protocols
- **Pydantic models** over dataclass/namedtuple/dict for structured data
- **No linter suppressors** — no `# type: ignore`, `# noqa`, `# pyright: ignore`; fix the type/code
- **List comprehensions** over manual loop-and-append
- **Early return** — guard clauses first, avoid deep nesting
- **f-strings vs printf syntax in log statements** — Use `%s` for deferred interpolation in `debug` statements, f-strings elsewhere for readability: `logger.debug("Processing %s items", count)`, `logger.info(f"Processing {count} items")`
- **Sanitize error paths** — `os.path.basename()` in error messages to avoid leaking directory structure
- **TOCTOU awareness** — avoid check-then-act patterns for file access and credit charging
- **`Security()` vs `Depends()`** — use `Security()` for auth deps to get proper OpenAPI security spec
- **Redis pipelines** — `transaction=True` for atomicity on multi-step operations
- **`max(0, value)` guards** — for computed values that should never be negative
- **SSE protocol** — `data:` lines for frontend-parsed events (must match Zod schema), `: comment` lines for heartbeats/status
- **File length** — keep files under ~300 lines; if a file grows beyond this, split by responsibility (e.g. extract helpers, models, or a sub-module into a new file). Never keep appending to a long file.
- **Function length** — keep functions under ~40 lines; extract named helpers when a function grows longer. Long functions are a sign of mixed concerns, not complexity.
- **Top-down ordering** — define the main/public function or class first, then the helpers it uses below. A reader should encounter high-level logic before implementation details.
## Testing Approach
- Uses pytest with snapshot testing for API responses
- Test files are colocated with source files (`*_test.py`)
- Mock at boundaries — mock where the symbol is **used**, not where it's **defined**
- After refactoring, update mock targets to match new module paths
- Use `AsyncMock` for async functions (`from unittest.mock import AsyncMock`)
### Test-Driven Development (TDD)
When fixing a bug or adding a feature, write the test **before** the implementation:
```python
# 1. Write a failing test marked xfail
@pytest.mark.xfail(reason="Bug #1234: widget crashes on empty input")
def test_widget_handles_empty_input():
result = widget.process("")
assert result == Widget.EMPTY_RESULT
# 2. Run it — confirm it fails (XFAIL)
# poetry run pytest path/to/test.py::test_widget_handles_empty_input -xvs
# 3. Implement the fix
# 4. Remove xfail, run again — confirm it passes
def test_widget_handles_empty_input():
result = widget.process("")
assert result == Widget.EMPTY_RESULT
```
This catches regressions and proves the fix actually works. **Every bug fix should include a test that would have caught it.**
## Database Schema
Key models (defined in `schema.prisma`):
- `User`: Authentication and profile data
- `AgentGraph`: Workflow definitions with version control
- `AgentGraphExecution`: Execution history and results
- `AgentNode`: Individual nodes in a workflow
- `StoreListing`: Marketplace listings for sharing agents
## Environment Configuration
- **Backend**: `.env.default` (defaults) → `.env` (user overrides)
## Common Development Tasks
### Adding a new block
Follow the comprehensive [Block SDK Guide](@../../docs/platform/block-sdk-guide.md) which covers:
- Provider configuration with `ProviderBuilder`
- Block schema definition
- Authentication (API keys, OAuth, webhooks)
- Testing and validation
- File organization
Quick steps:
1. Create new file in `backend/blocks/`
2. Configure provider using `ProviderBuilder` in `_config.py`
3. Inherit from `Block` base class
4. Define input/output schemas using `BlockSchema`
5. Implement async `run` method
6. Generate unique block ID using `uuid.uuid4()`
7. Test with `poetry run pytest backend/blocks/test/test_block.py`
Note: when making many new blocks analyze the interfaces for each of these blocks and picture if they would go well together in a graph-based editor or would they struggle to connect productively?
ex: do the inputs and outputs tie well together?
If you get any pushback or hit complex block conditions check the new_blocks guide in the docs.
#### Handling files in blocks with `store_media_file()`
When blocks need to work with files (images, videos, documents), use `store_media_file()` from `backend.util.file`. The `return_format` parameter determines what you get back:
| Format | Use When | Returns |
|--------|----------|---------|
| `"for_local_processing"` | Processing with local tools (ffmpeg, MoviePy, PIL) | Local file path (e.g., `"image.png"`) |
| `"for_external_api"` | Sending content to external APIs (Replicate, OpenAI) | Data URI (e.g., `"data:image/png;base64,..."`) |
| `"for_block_output"` | Returning output from your block | Smart: `workspace://` in CoPilot, data URI in graphs |
**Examples:**
```python
# INPUT: Need to process file locally with ffmpeg
local_path = await store_media_file(
file=input_data.video,
execution_context=execution_context,
return_format="for_local_processing",
)
# local_path = "video.mp4" - use with Path/ffmpeg/etc
# INPUT: Need to send to external API like Replicate
image_b64 = await store_media_file(
file=input_data.image,
execution_context=execution_context,
return_format="for_external_api",
)
# image_b64 = "data:image/png;base64,iVBORw0..." - send to API
# OUTPUT: Returning result from block
result_url = await store_media_file(
file=generated_image_url,
execution_context=execution_context,
return_format="for_block_output",
)
yield "image_url", result_url
# In CoPilot: result_url = "workspace://abc123"
# In graphs: result_url = "data:image/png;base64,..."
```
**Key points:**
- `for_block_output` is the ONLY format that auto-adapts to execution context
- Always use `for_block_output` for block outputs unless you have a specific reason not to
- Never hardcode workspace checks - let `for_block_output` handle it
### Modifying the API
1. Update route in `backend/api/features/`
2. Add/update Pydantic models in same directory
3. Write tests alongside the route file
4. Run `poetry run test` to verify
## Workspace & Media Files
**Read [Workspace & Media Architecture](../../docs/platform/workspace-media-architecture.md) when:**
- Working on CoPilot file upload/download features
- Building blocks that handle `MediaFileType` inputs/outputs
- Modifying `WorkspaceManager` or `store_media_file()`
- Debugging file persistence or virus scanning issues
Covers: `WorkspaceManager` (persistent storage with session scoping), `store_media_file()` (media normalization pipeline), and responsibility boundaries for virus scanning and persistence.
## Security Implementation
### Cache Protection Middleware
- Located in `backend/api/middleware/security.py`
- Default behavior: Disables caching for ALL endpoints with `Cache-Control: no-store, no-cache, must-revalidate, private`
- Uses an allow list approach - only explicitly permitted paths can be cached
- Cacheable paths include: static assets (`static/*`, `_next/static/*`), health checks, public store pages, documentation
- Prevents sensitive data (auth tokens, API keys, user data) from being cached by browsers/proxies
- To allow caching for a new endpoint, add it to `CACHEABLE_PATHS` in the middleware
- Applied to both main API server and external API applications

View File

@@ -1 +1,170 @@
@AGENTS.md
# CLAUDE.md - Backend
This file provides guidance to Claude Code when working with the backend.
## Essential Commands
To run something with Python package dependencies you MUST use `poetry run ...`.
```bash
# Install dependencies
poetry install
# Run database migrations
poetry run prisma migrate dev
# Start all services (database, redis, rabbitmq, clamav)
docker compose up -d
# Run the backend as a whole
poetry run app
# Run tests
poetry run test
# Run specific test
poetry run pytest path/to/test_file.py::test_function_name
# Run block tests (tests that validate all blocks work correctly)
poetry run pytest backend/blocks/test/test_block.py -xvs
# Run tests for a specific block (e.g., GetCurrentTimeBlock)
poetry run pytest 'backend/blocks/test/test_block.py::test_available_blocks[GetCurrentTimeBlock]' -xvs
# Lint and format
# prefer format if you want to just "fix" it and only get the errors that can't be autofixed
poetry run format # Black + isort
poetry run lint # ruff
```
More details can be found in @TESTING.md
### Creating/Updating Snapshots
When you first write a test or when the expected output changes:
```bash
poetry run pytest path/to/test.py --snapshot-update
```
⚠️ **Important**: Always review snapshot changes before committing! Use `git diff` to verify the changes are expected.
## Architecture
- **API Layer**: FastAPI with REST and WebSocket endpoints
- **Database**: PostgreSQL with Prisma ORM, includes pgvector for embeddings
- **Queue System**: RabbitMQ for async task processing
- **Execution Engine**: Separate executor service processes agent workflows
- **Authentication**: JWT-based with Supabase integration
- **Security**: Cache protection middleware prevents sensitive data caching in browsers/proxies
## Testing Approach
- Uses pytest with snapshot testing for API responses
- Test files are colocated with source files (`*_test.py`)
## Database Schema
Key models (defined in `schema.prisma`):
- `User`: Authentication and profile data
- `AgentGraph`: Workflow definitions with version control
- `AgentGraphExecution`: Execution history and results
- `AgentNode`: Individual nodes in a workflow
- `StoreListing`: Marketplace listings for sharing agents
## Environment Configuration
- **Backend**: `.env.default` (defaults) → `.env` (user overrides)
## Common Development Tasks
### Adding a new block
Follow the comprehensive [Block SDK Guide](@../../docs/content/platform/block-sdk-guide.md) which covers:
- Provider configuration with `ProviderBuilder`
- Block schema definition
- Authentication (API keys, OAuth, webhooks)
- Testing and validation
- File organization
Quick steps:
1. Create new file in `backend/blocks/`
2. Configure provider using `ProviderBuilder` in `_config.py`
3. Inherit from `Block` base class
4. Define input/output schemas using `BlockSchema`
5. Implement async `run` method
6. Generate unique block ID using `uuid.uuid4()`
7. Test with `poetry run pytest backend/blocks/test/test_block.py`
Note: when making many new blocks analyze the interfaces for each of these blocks and picture if they would go well together in a graph-based editor or would they struggle to connect productively?
ex: do the inputs and outputs tie well together?
If you get any pushback or hit complex block conditions check the new_blocks guide in the docs.
#### Handling files in blocks with `store_media_file()`
When blocks need to work with files (images, videos, documents), use `store_media_file()` from `backend.util.file`. The `return_format` parameter determines what you get back:
| Format | Use When | Returns |
|--------|----------|---------|
| `"for_local_processing"` | Processing with local tools (ffmpeg, MoviePy, PIL) | Local file path (e.g., `"image.png"`) |
| `"for_external_api"` | Sending content to external APIs (Replicate, OpenAI) | Data URI (e.g., `"data:image/png;base64,..."`) |
| `"for_block_output"` | Returning output from your block | Smart: `workspace://` in CoPilot, data URI in graphs |
**Examples:**
```python
# INPUT: Need to process file locally with ffmpeg
local_path = await store_media_file(
file=input_data.video,
execution_context=execution_context,
return_format="for_local_processing",
)
# local_path = "video.mp4" - use with Path/ffmpeg/etc
# INPUT: Need to send to external API like Replicate
image_b64 = await store_media_file(
file=input_data.image,
execution_context=execution_context,
return_format="for_external_api",
)
# image_b64 = "data:image/png;base64,iVBORw0..." - send to API
# OUTPUT: Returning result from block
result_url = await store_media_file(
file=generated_image_url,
execution_context=execution_context,
return_format="for_block_output",
)
yield "image_url", result_url
# In CoPilot: result_url = "workspace://abc123"
# In graphs: result_url = "data:image/png;base64,..."
```
**Key points:**
- `for_block_output` is the ONLY format that auto-adapts to execution context
- Always use `for_block_output` for block outputs unless you have a specific reason not to
- Never hardcode workspace checks - let `for_block_output` handle it
### Modifying the API
1. Update route in `backend/api/features/`
2. Add/update Pydantic models in same directory
3. Write tests alongside the route file
4. Run `poetry run test` to verify
## Security Implementation
### Cache Protection Middleware
- Located in `backend/api/middleware/security.py`
- Default behavior: Disables caching for ALL endpoints with `Cache-Control: no-store, no-cache, must-revalidate, private`
- Uses an allow list approach - only explicitly permitted paths can be cached
- Cacheable paths include: static assets (`static/*`, `_next/static/*`), health checks, public store pages, documentation
- Prevents sensitive data (auth tokens, API keys, user data) from being cached by browsers/proxies
- To allow caching for a new endpoint, add it to `CACHEABLE_PATHS` in the middleware
- Applied to both main API server and external API applications

View File

@@ -50,7 +50,7 @@ RUN poetry install --no-ansi --no-root
# Generate Prisma client
COPY autogpt_platform/backend/schema.prisma ./
COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/partial_types.py
COPY autogpt_platform/backend/scripts/gen_prisma_types_stub.py ./scripts/
COPY autogpt_platform/backend/gen_prisma_types_stub.py ./
RUN poetry run prisma generate && poetry run gen-prisma-stub
# =============================== DB MIGRATOR =============================== #
@@ -82,7 +82,7 @@ RUN pip3 install prisma>=0.15.0 --break-system-packages
COPY autogpt_platform/backend/schema.prisma ./
COPY autogpt_platform/backend/backend/data/partial_types.py ./backend/data/partial_types.py
COPY autogpt_platform/backend/scripts/gen_prisma_types_stub.py ./scripts/
COPY autogpt_platform/backend/gen_prisma_types_stub.py ./
COPY autogpt_platform/backend/migrations ./migrations
# ============================== BACKEND SERVER ============================== #
@@ -121,21 +121,19 @@ RUN ln -s ../lib/node_modules/npm/bin/npm-cli.js /usr/bin/npm \
&& ln -s ../lib/node_modules/npm/bin/npx-cli.js /usr/bin/npx
COPY --from=builder /root/.cache/prisma-python/binaries /root/.cache/prisma-python/binaries
# Install agent-browser (Copilot browser tool) using the system chromium package.
# Chrome for Testing (the binary agent-browser downloads via `agent-browser install`)
# has no ARM64 builds, so we use the distro-packaged chromium instead — verified to
# work with agent-browser via Docker tests on arm64; amd64 is validated in CI.
# Note: system chromium tracks the Debian package schedule rather than a pinned
# Chrome for Testing release. If agent-browser requires a specific Chrome version,
# verify compatibility against the chromium package version in the base image.
RUN apt-get update \
&& apt-get install -y --no-install-recommends chromium fonts-liberation \
# Install agent-browser (Copilot browser tool) + Chromium runtime dependencies.
# These are the runtime libraries Chromium/Playwright needs on Debian 13 (trixie).
RUN apt-get update && apt-get install -y --no-install-recommends \
libnss3 libnspr4 libatk1.0-0 libatk-bridge2.0-0 libcups2 libdrm2 \
libdbus-1-3 libxkbcommon0 libatspi2.0-0t64 libxcomposite1 libxdamage1 \
libxfixes3 libxrandr2 libgbm1 libasound2t64 libpango-1.0-0 libcairo2 \
libx11-6 libx11-xcb1 libxcb1 libxext6 libglib2.0-0t64 \
fonts-liberation libfontconfig1 \
&& rm -rf /var/lib/apt/lists/* \
&& npm install -g agent-browser \
&& agent-browser install \
&& rm -rf /tmp/* /root/.npm
ENV AGENT_BROWSER_EXECUTABLE_PATH=/usr/bin/chromium
WORKDIR /app/autogpt_platform/backend
# Copy only the .venv from builder (not the entire /app directory)

View File

@@ -1,166 +0,0 @@
{
"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

@@ -1,44 +1,14 @@
import asyncio
import json
import logging
import time
from typing import Awaitable, Callable, Dict, Optional, Set
from typing import Dict, Set
from fastapi import WebSocket, WebSocketDisconnect
from redis.asyncio import Redis as AsyncRedis
from redis.asyncio.client import PubSub as AsyncPubSub
from redis.exceptions import MovedError, RedisError, ResponseError
from starlette.websockets import WebSocketState
from fastapi import WebSocket
from backend.api.model import WSMessage, WSMethod
from backend.data import redis_client as redis
from backend.data.event_bus import _assert_no_wildcard
from backend.api.model import NotificationPayload, WSMessage, WSMethod
from backend.data.execution import (
ExecutionEventType,
exec_channel,
get_graph_execution_meta,
graph_all_channel,
GraphExecutionEvent,
NodeExecutionEvent,
)
from backend.data.notification_bus import NotificationEvent
from backend.util.settings import Settings
logger = logging.getLogger(__name__)
_settings = Settings()
def _is_ws_close_race(exc: BaseException, websocket: WebSocket) -> bool:
"""A SPUBLISH→WS send racing with WS close — benign, drop quietly."""
if isinstance(exc, WebSocketDisconnect):
return True
if (
getattr(websocket, "application_state", None) == WebSocketState.DISCONNECTED
or getattr(websocket, "client_state", None) == WebSocketState.DISCONNECTED
):
return True
if isinstance(exc, RuntimeError) and "close message has been sent" in str(exc):
return True
return False
_EVENT_TYPE_TO_METHOD_MAP: dict[ExecutionEventType, WSMethod] = {
ExecutionEventType.GRAPH_EXEC_UPDATE: WSMethod.GRAPH_EXECUTION_EVENT,
@@ -46,379 +16,128 @@ _EVENT_TYPE_TO_METHOD_MAP: dict[ExecutionEventType, WSMethod] = {
}
def event_bus_channel(channel_key: str) -> str:
"""Prefix a channel key with the execution event bus name."""
return f"{_settings.config.execution_event_bus_name}/{channel_key}"
def _notification_bus_channel(user_id: str) -> str:
"""Return the full sharded channel name for a user's notifications."""
return f"{_settings.config.notification_event_bus_name}/{user_id}"
MessageHandler = Callable[[Optional[bytes | str]], Awaitable[None]]
def _is_moved_error(exc: BaseException) -> bool:
"""A MOVED redirect — slot migration mid-stream; pump should reconnect."""
if isinstance(exc, MovedError):
return True
if isinstance(exc, ResponseError) and str(exc).startswith("MOVED "):
return True
return False
# Reconnect tunables for shard-failover during pubsub.listen().
_PUMP_RECONNECT_DEADLINE_S = 60.0
_PUMP_RECONNECT_BACKOFF_INITIAL_S = 0.5
_PUMP_RECONNECT_BACKOFF_MAX_S = 8.0
class _Subscription:
"""One SSUBSCRIBE lifecycle bound to a WebSocket, pinned to the owning shard."""
def __init__(self, full_channel: str) -> None:
_assert_no_wildcard(full_channel)
self.full_channel = full_channel
self._client: AsyncRedis | None = None
self._pubsub: AsyncPubSub | None = None
self._task: asyncio.Task | None = None
async def start(self, on_message: MessageHandler) -> None:
await self._open_pubsub()
self._task = asyncio.create_task(self._pump(on_message))
async def _open_pubsub(self) -> None:
"""(Re)establish the sharded pubsub connection + SSUBSCRIBE."""
self._client = await redis.connect_sharded_pubsub_async(self.full_channel)
self._pubsub = self._client.pubsub()
await self._pubsub.execute_command("SSUBSCRIBE", self.full_channel)
# redis-py 6.x async PubSub.listen() exits when ``channels`` is
# empty; raw SSUBSCRIBE doesn't populate it, so do it ourselves.
self._pubsub.channels[self.full_channel] = None # type: ignore[index]
async def _close_pubsub_quietly(self) -> None:
"""Best-effort teardown before reconnect — never raises."""
if self._pubsub is not None:
try:
await self._pubsub.aclose()
except Exception:
pass
self._pubsub = None
if self._client is not None:
try:
await self._client.aclose()
except Exception:
pass
self._client = None
async def _pump(self, on_message: MessageHandler) -> None:
if self._pubsub is None:
return
backoff = _PUMP_RECONNECT_BACKOFF_INITIAL_S
deadline = time.monotonic() + _PUMP_RECONNECT_DEADLINE_S
while True:
pubsub = self._pubsub
if pubsub is None:
return
needs_reconnect = False
try:
async for message in pubsub.listen():
msg_type = message.get("type")
# Server-pushed sunsubscribe: slot ownership changed and
# Redis revoked our SSUBSCRIBE without dropping the TCP.
# Treat as a reconnect trigger so we re-resolve the shard.
if msg_type == "sunsubscribe":
needs_reconnect = True
break
if msg_type not in ("smessage", "message", "pmessage"):
continue
# Successful read resets the reconnect budget.
backoff = _PUMP_RECONNECT_BACKOFF_INITIAL_S
deadline = time.monotonic() + _PUMP_RECONNECT_DEADLINE_S
try:
await on_message(message.get("data"))
except Exception:
logger.exception(
"Websocket message-handler failed for channel %s",
self.full_channel,
)
if not needs_reconnect:
# listen() exited cleanly (channels emptied) — pump is done.
return
except asyncio.CancelledError:
raise
except (ConnectionError, RedisError) as exc:
if isinstance(exc, ResponseError) and not _is_moved_error(exc):
logger.exception(
"Pubsub pump crashed on non-retryable ResponseError for %s",
self.full_channel,
)
return
if time.monotonic() > deadline:
logger.exception(
"Pubsub pump giving up after reconnect deadline for %s",
self.full_channel,
)
return
logger.warning(
"Pubsub pump reconnecting for %s after %s: %s",
self.full_channel,
type(exc).__name__,
exc,
)
except Exception:
logger.exception("Pubsub pump crashed for %s", self.full_channel)
return
# Either a retryable error was raised, or the server pushed a
# sunsubscribe — close the stale pubsub and reopen against the
# (possibly migrated) shard.
await self._close_pubsub_quietly()
await asyncio.sleep(backoff)
backoff = min(backoff * 2, _PUMP_RECONNECT_BACKOFF_MAX_S)
try:
await self._open_pubsub()
except (ConnectionError, RedisError) as reopen_exc:
logger.warning(
"Pubsub pump reopen failed for %s: %s",
self.full_channel,
reopen_exc,
)
# Loop again — deadline check will eventually exit.
continue
async def stop(self) -> None:
if self._task is not None:
self._task.cancel()
try:
await self._task
except (asyncio.CancelledError, Exception):
pass
self._task = None
if self._pubsub is not None:
try:
await self._pubsub.execute_command("SUNSUBSCRIBE", self.full_channel)
except Exception:
logger.warning(
"SUNSUBSCRIBE failed for %s", self.full_channel, exc_info=True
)
try:
await self._pubsub.aclose()
except Exception:
pass
self._pubsub = None
if self._client is not None:
try:
await self._client.aclose()
except Exception:
pass
self._client = None
class ConnectionManager:
def __init__(self):
self.active_connections: Set[WebSocket] = set()
# channel_key → sockets subscribed (public channel keys, not raw Redis channels)
self.subscriptions: Dict[str, Set[WebSocket]] = {}
# websocket → {channel_key: _Subscription}
self._ws_subs: Dict[WebSocket, Dict[str, _Subscription]] = {}
# websocket → notification subscription
self._ws_notifications: Dict[WebSocket, _Subscription] = {}
self.user_connections: Dict[str, Set[WebSocket]] = {}
async def connect_socket(self, websocket: WebSocket, *, user_id: str):
await websocket.accept()
self.active_connections.add(websocket)
self._ws_subs.setdefault(websocket, {})
await self._start_notification_subscription(websocket, user_id=user_id)
if user_id not in self.user_connections:
self.user_connections[user_id] = set()
self.user_connections[user_id].add(websocket)
async def disconnect_socket(self, websocket: WebSocket, *, user_id: str):
def disconnect_socket(self, websocket: WebSocket, *, user_id: str):
self.active_connections.discard(websocket)
# Stop SSUBSCRIBE pumps before dropping bookkeeping to avoid leaks.
subs = self._ws_subs.pop(websocket, {})
for sub in subs.values():
await sub.stop()
notif_sub = self._ws_notifications.pop(websocket, None)
if notif_sub is not None:
await notif_sub.stop()
for channel_key, subscribers in list(self.subscriptions.items()):
for subscribers in self.subscriptions.values():
subscribers.discard(websocket)
if not subscribers:
self.subscriptions.pop(channel_key, None)
user_conns = self.user_connections.get(user_id)
if user_conns is not None:
user_conns.discard(websocket)
if not user_conns:
self.user_connections.pop(user_id, None)
async def subscribe_graph_exec(
self, *, user_id: str, graph_exec_id: str, websocket: WebSocket
) -> str:
# Hash-tagged channel needs graph_id; resolve once per subscribe.
meta = await get_graph_execution_meta(user_id, graph_exec_id)
if meta is None:
raise ValueError(
f"graph_exec #{graph_exec_id} not found for user #{user_id}"
)
channel_key = graph_exec_channel_key(user_id, graph_exec_id=graph_exec_id)
full_channel = event_bus_channel(
exec_channel(user_id, meta.graph_id, graph_exec_id)
return await self._subscribe(
_graph_exec_channel_key(user_id, graph_exec_id=graph_exec_id), websocket
)
await self._open_subscription(websocket, channel_key, full_channel)
return channel_key
async def subscribe_graph_execs(
self, *, user_id: str, graph_id: str, websocket: WebSocket
) -> str:
channel_key = _graph_execs_channel_key(user_id, graph_id=graph_id)
full_channel = event_bus_channel(graph_all_channel(user_id, graph_id))
await self._open_subscription(websocket, channel_key, full_channel)
return channel_key
return await self._subscribe(
_graph_execs_channel_key(user_id, graph_id=graph_id), websocket
)
async def unsubscribe_graph_exec(
self, *, user_id: str, graph_exec_id: str, websocket: WebSocket
) -> str | None:
channel_key = graph_exec_channel_key(user_id, graph_exec_id=graph_exec_id)
return await self._close_subscription(websocket, channel_key)
return await self._unsubscribe(
_graph_exec_channel_key(user_id, graph_exec_id=graph_exec_id), websocket
)
async def unsubscribe_graph_execs(
self, *, user_id: str, graph_id: str, websocket: WebSocket
) -> str | None:
channel_key = _graph_execs_channel_key(user_id, graph_id=graph_id)
return await self._close_subscription(websocket, channel_key)
return await self._unsubscribe(
_graph_execs_channel_key(user_id, graph_id=graph_id), websocket
)
async def _open_subscription(
self, websocket: WebSocket, channel_key: str, full_channel: str
) -> None:
self.subscriptions.setdefault(channel_key, set()).add(websocket)
per_ws = self._ws_subs.setdefault(websocket, {})
if channel_key in per_ws:
return
sub = _Subscription(full_channel)
async def send_execution_update(
self, exec_event: GraphExecutionEvent | NodeExecutionEvent
) -> int:
graph_exec_id = (
exec_event.id
if isinstance(exec_event, GraphExecutionEvent)
else exec_event.graph_exec_id
)
async def on_message(data: Optional[bytes | str]) -> None:
await self._forward_exec_event(websocket, channel_key, data)
n_sent = 0
await sub.start(on_message)
per_ws[channel_key] = sub
async def _close_subscription(
self, websocket: WebSocket, channel_key: str
) -> str | None:
subscribers = self.subscriptions.get(channel_key)
if subscribers is None:
return None
subscribers.discard(websocket)
if not subscribers:
self.subscriptions.pop(channel_key, None)
per_ws = self._ws_subs.get(websocket)
if per_ws and channel_key in per_ws:
sub = per_ws.pop(channel_key)
await sub.stop()
return channel_key
async def _forward_exec_event(
self,
websocket: WebSocket,
channel_key: str,
raw_payload: Optional[bytes | str],
) -> None:
if raw_payload is None:
return
# Unwrap the `_EventPayloadWrapper` envelope, then re-wrap as a WS message.
try:
wrapper = (
raw_payload.decode()
if isinstance(raw_payload, (bytes, bytearray))
else raw_payload
channels: set[str] = {
# Send update to listeners for this graph execution
_graph_exec_channel_key(exec_event.user_id, graph_exec_id=graph_exec_id)
}
if isinstance(exec_event, GraphExecutionEvent):
# Send update to listeners for all executions of this graph
channels.add(
_graph_execs_channel_key(
exec_event.user_id, graph_id=exec_event.graph_id
)
)
except Exception:
logger.warning(
"Failed to decode pubsub payload on %s", channel_key, exc_info=True
)
return
try:
parsed = json.loads(wrapper)
event_data = parsed.get("payload")
if not isinstance(event_data, dict):
return
event_type = event_data.get("event_type")
method = _EVENT_TYPE_TO_METHOD_MAP.get(ExecutionEventType(event_type))
if method is None:
return
for channel in channels.intersection(self.subscriptions.keys()):
message = WSMessage(
method=method,
channel=channel_key,
data=event_data,
method=_EVENT_TYPE_TO_METHOD_MAP[exec_event.event_type],
channel=channel,
data=exec_event.model_dump(),
).model_dump_json()
await websocket.send_text(message)
except Exception as e:
if _is_ws_close_race(e, websocket):
logger.debug("Dropped exec event on closed WS for %s", channel_key)
return
logger.exception("Failed to forward exec event on %s", channel_key)
for connection in self.subscriptions[channel]:
await connection.send_text(message)
n_sent += 1
async def _start_notification_subscription(
self, websocket: WebSocket, *, user_id: str
) -> None:
full_channel = _notification_bus_channel(user_id)
sub = _Subscription(full_channel)
return n_sent
async def on_message(data: Optional[bytes | str]) -> None:
await self._forward_notification(websocket, user_id, data)
try:
await sub.start(on_message)
except Exception:
logger.exception(
"Failed to open notification SSUBSCRIBE for user=%s", user_id
)
return
self._ws_notifications[websocket] = sub
async def _forward_notification(
self,
websocket: WebSocket,
user_id: str,
raw_payload: Optional[bytes | str],
) -> None:
if raw_payload is None:
return
try:
wrapper_json = (
raw_payload.decode()
if isinstance(raw_payload, (bytes, bytearray))
else raw_payload
)
parsed = json.loads(wrapper_json)
inner = parsed.get("payload") if isinstance(parsed, dict) else None
if not isinstance(inner, dict):
return
event = NotificationEvent.model_validate(inner)
except Exception:
logger.warning(
"Failed to parse notification payload for user=%s",
user_id,
exc_info=True,
)
return
# Defense in depth against cross-user payloads.
if event.user_id != user_id:
return
async def send_notification(
self, *, user_id: str, payload: NotificationPayload
) -> int:
"""Send a notification to all websocket connections belonging to a user."""
message = WSMessage(
method=WSMethod.NOTIFICATION,
data=event.payload.model_dump(),
data=payload.model_dump(),
).model_dump_json()
try:
await websocket.send_text(message)
except Exception as e:
if _is_ws_close_race(e, websocket):
logger.debug("Dropped notification on closed WS for user=%s", user_id)
return
logger.warning(
"Failed to deliver notification to WS for user=%s",
user_id,
exc_info=True,
)
connections = tuple(self.user_connections.get(user_id, set()))
if not connections:
return 0
await asyncio.gather(
*(connection.send_text(message) for connection in connections),
return_exceptions=True,
)
return len(connections)
async def _subscribe(self, channel_key: str, websocket: WebSocket) -> str:
if channel_key not in self.subscriptions:
self.subscriptions[channel_key] = set()
self.subscriptions[channel_key].add(websocket)
return channel_key
async def _unsubscribe(self, channel_key: str, websocket: WebSocket) -> str | None:
if channel_key in self.subscriptions:
self.subscriptions[channel_key].discard(websocket)
if not self.subscriptions[channel_key]:
del self.subscriptions[channel_key]
return channel_key
return None
def graph_exec_channel_key(user_id: str, *, graph_exec_id: str) -> str:
def _graph_exec_channel_key(user_id: str, *, graph_exec_id: str) -> str:
return f"{user_id}|graph_exec#{graph_exec_id}"

View File

@@ -1,386 +0,0 @@
"""ConnectionManager integration over the live 3-shard Redis cluster:
SSUBSCRIBE → SPUBLISH → WebSocket forwarding with no Redis mocks. Skips
when the cluster is unreachable."""
import asyncio
import json
from datetime import datetime, timezone
from unittest.mock import AsyncMock
from uuid import uuid4
import pytest
from fastapi import WebSocket
import backend.data.redis_client as redis_client
from backend.api.conn_manager import (
ConnectionManager,
_graph_execs_channel_key,
event_bus_channel,
graph_exec_channel_key,
)
from backend.api.model import WSMethod
from backend.data.execution import (
ExecutionStatus,
GraphExecutionEvent,
GraphExecutionMeta,
NodeExecutionEvent,
exec_channel,
graph_all_channel,
)
def _has_live_cluster() -> bool:
try:
c = redis_client.connect()
except Exception: # noqa: BLE001 — any connect failure → skip
return False
try:
c.close()
except Exception:
pass
return True
pytestmark = pytest.mark.skipif(
not _has_live_cluster(),
reason="local redis cluster not reachable; skip conn_manager integration",
)
def _meta(user_id: str, graph_id: str, graph_exec_id: str) -> GraphExecutionMeta:
"""Build a minimal GraphExecutionMeta for ``subscribe_graph_exec`` to use."""
return GraphExecutionMeta(
id=graph_exec_id,
user_id=user_id,
graph_id=graph_id,
graph_version=1,
inputs=None,
credential_inputs=None,
nodes_input_masks=None,
preset_id=None,
status=ExecutionStatus.RUNNING,
started_at=datetime.now(tz=timezone.utc),
ended_at=None,
stats=GraphExecutionMeta.Stats(),
)
def _node_event_payload(
*, user_id: str, graph_id: str, graph_exec_id: str, marker: str
) -> bytes:
"""Wire-format a NodeExecutionEvent the way RedisExecutionEventBus would."""
inner = NodeExecutionEvent(
user_id=user_id,
graph_id=graph_id,
graph_version=1,
graph_exec_id=graph_exec_id,
node_exec_id=f"node-exec-{marker}",
node_id="node-1",
block_id="block-1",
status=ExecutionStatus.COMPLETED,
input_data={"in": marker},
output_data={"out": [marker]},
add_time=datetime.now(tz=timezone.utc),
queue_time=None,
start_time=datetime.now(tz=timezone.utc),
end_time=datetime.now(tz=timezone.utc),
).model_dump(mode="json")
return json.dumps({"payload": inner}).encode()
def _graph_event_payload(
*, user_id: str, graph_id: str, graph_exec_id: str, marker: str
) -> bytes:
inner = GraphExecutionEvent(
id=graph_exec_id,
user_id=user_id,
graph_id=graph_id,
graph_version=1,
preset_id=None,
status=ExecutionStatus.COMPLETED,
started_at=datetime.now(tz=timezone.utc),
ended_at=datetime.now(tz=timezone.utc),
stats=GraphExecutionEvent.Stats(
cost=0,
duration=1.0,
node_exec_time=0.5,
node_exec_count=1,
),
inputs={"x": marker},
credential_inputs=None,
nodes_input_masks=None,
outputs={"y": [marker]},
).model_dump(mode="json")
return json.dumps({"payload": inner}).encode()
async def _wait_until(predicate, timeout: float = 5.0, interval: float = 0.05) -> bool:
"""Poll ``predicate()`` until truthy or timeout — used to wait for pubsub."""
deadline = asyncio.get_event_loop().time() + timeout
while asyncio.get_event_loop().time() < deadline:
if predicate():
return True
await asyncio.sleep(interval)
return False
@pytest.mark.asyncio
async def test_two_clients_get_independent_ssubscribes_on_right_shards(
monkeypatch,
) -> None:
"""Two WS clients on different graph_exec_ids each receive ONLY their
own publish, even when the channels land on different shards."""
user_id = "user-conn-int-1"
graph_a = f"graph-a-{uuid4().hex[:8]}"
graph_b = f"graph-b-{uuid4().hex[:8]}"
exec_a = f"exec-a-{uuid4().hex[:8]}"
exec_b = f"exec-b-{uuid4().hex[:8]}"
# Stub Prisma lookup so tests don't need a DB.
async def _fake_meta(_uid, gex_id):
return _meta(user_id, graph_a if gex_id == exec_a else graph_b, gex_id)
monkeypatch.setattr("backend.api.conn_manager.get_graph_execution_meta", _fake_meta)
cm = ConnectionManager()
ws_a: AsyncMock = AsyncMock(spec=WebSocket)
ws_b: AsyncMock = AsyncMock(spec=WebSocket)
sent_a: list[str] = []
sent_b: list[str] = []
ws_a.send_text = AsyncMock(side_effect=lambda m: sent_a.append(m))
ws_b.send_text = AsyncMock(side_effect=lambda m: sent_b.append(m))
redis_client.get_redis.cache_clear()
cluster = redis_client.get_redis()
try:
await cm.subscribe_graph_exec(
user_id=user_id, graph_exec_id=exec_a, websocket=ws_a
)
await cm.subscribe_graph_exec(
user_id=user_id, graph_exec_id=exec_b, websocket=ws_b
)
# Let SSUBSCRIBE settle on each shard.
await asyncio.sleep(0.2)
# Publish to each per-exec channel.
chan_a = event_bus_channel(exec_channel(user_id, graph_a, exec_a))
chan_b = event_bus_channel(exec_channel(user_id, graph_b, exec_b))
cluster.spublish(
chan_a,
_node_event_payload(
user_id=user_id,
graph_id=graph_a,
graph_exec_id=exec_a,
marker="A",
).decode(),
)
cluster.spublish(
chan_b,
_node_event_payload(
user_id=user_id,
graph_id=graph_b,
graph_exec_id=exec_b,
marker="B",
).decode(),
)
delivered = await _wait_until(lambda: sent_a and sent_b, timeout=5.0)
assert delivered, f"timeout: sent_a={sent_a!r} sent_b={sent_b!r}"
msg_a = json.loads(sent_a[0])
msg_b = json.loads(sent_b[0])
assert msg_a["channel"] == graph_exec_channel_key(user_id, graph_exec_id=exec_a)
assert msg_b["channel"] == graph_exec_channel_key(user_id, graph_exec_id=exec_b)
assert msg_a["data"]["graph_exec_id"] == exec_a
assert msg_b["data"]["graph_exec_id"] == exec_b
# No cross-talk: each socket got exactly one message.
assert len(sent_a) == 1 and len(sent_b) == 1
finally:
await cm.disconnect_socket(ws_a, user_id=user_id)
await cm.disconnect_socket(ws_b, user_id=user_id)
redis_client.disconnect()
@pytest.mark.asyncio
async def test_aggregate_channel_receives_per_exec_publishes(monkeypatch) -> None:
"""A subscriber on the ``graph_execs`` aggregate channel must receive the
GraphExecutionEvent published to the ``/all`` channel — even though
per-exec events go to a different channel."""
user_id = "user-conn-int-2"
graph_id = f"graph-{uuid4().hex[:8]}"
exec_id = f"exec-{uuid4().hex[:8]}"
async def _fake_meta(_uid, gex_id):
return _meta(user_id, graph_id, gex_id)
monkeypatch.setattr("backend.api.conn_manager.get_graph_execution_meta", _fake_meta)
cm = ConnectionManager()
ws_agg: AsyncMock = AsyncMock(spec=WebSocket)
ws_per: AsyncMock = AsyncMock(spec=WebSocket)
sent_agg: list[str] = []
sent_per: list[str] = []
ws_agg.send_text = AsyncMock(side_effect=lambda m: sent_agg.append(m))
ws_per.send_text = AsyncMock(side_effect=lambda m: sent_per.append(m))
redis_client.get_redis.cache_clear()
cluster = redis_client.get_redis()
try:
await cm.subscribe_graph_execs(
user_id=user_id, graph_id=graph_id, websocket=ws_agg
)
await cm.subscribe_graph_exec(
user_id=user_id, graph_exec_id=exec_id, websocket=ws_per
)
await asyncio.sleep(0.2)
# The eventbus publishes the same event to both channels — replicate.
chan_per = event_bus_channel(exec_channel(user_id, graph_id, exec_id))
chan_all = event_bus_channel(graph_all_channel(user_id, graph_id))
payload = _graph_event_payload(
user_id=user_id,
graph_id=graph_id,
graph_exec_id=exec_id,
marker="agg",
).decode()
cluster.spublish(chan_per, payload)
cluster.spublish(chan_all, payload)
delivered = await _wait_until(lambda: sent_agg and sent_per, timeout=5.0)
assert delivered, f"sent_agg={sent_agg!r} sent_per={sent_per!r}"
agg_msg = json.loads(sent_agg[0])
per_msg = json.loads(sent_per[0])
# Aggregate subscriber's channel key is the per-graph executions key.
assert agg_msg["channel"] == _graph_execs_channel_key(
user_id, graph_id=graph_id
)
assert per_msg["channel"] == graph_exec_channel_key(
user_id, graph_exec_id=exec_id
)
assert agg_msg["method"] == WSMethod.GRAPH_EXECUTION_EVENT.value
finally:
await cm.disconnect_socket(ws_agg, user_id=user_id)
await cm.disconnect_socket(ws_per, user_id=user_id)
redis_client.disconnect()
@pytest.mark.asyncio
async def test_disconnect_unsubscribes_and_drops_future_publishes(monkeypatch) -> None:
"""After ``disconnect_socket`` runs, a subsequent SPUBLISH must NOT reach
the dead websocket — exercises the SUNSUBSCRIBE + bookkeeping cleanup."""
user_id = "user-conn-int-3"
graph_id = f"graph-{uuid4().hex[:8]}"
exec_id = f"exec-{uuid4().hex[:8]}"
async def _fake_meta(_uid, gex_id):
return _meta(user_id, graph_id, gex_id)
monkeypatch.setattr("backend.api.conn_manager.get_graph_execution_meta", _fake_meta)
cm = ConnectionManager()
ws: AsyncMock = AsyncMock(spec=WebSocket)
sent: list[str] = []
ws.send_text = AsyncMock(side_effect=lambda m: sent.append(m))
redis_client.get_redis.cache_clear()
cluster = redis_client.get_redis()
chan = event_bus_channel(exec_channel(user_id, graph_id, exec_id))
payload = _node_event_payload(
user_id=user_id, graph_id=graph_id, graph_exec_id=exec_id, marker="live"
).decode()
try:
await cm.subscribe_graph_exec(
user_id=user_id, graph_exec_id=exec_id, websocket=ws
)
await asyncio.sleep(0.15)
# First publish — must reach the socket.
cluster.spublish(chan, payload)
delivered = await _wait_until(lambda: bool(sent), timeout=5.0)
assert delivered
assert len(sent) == 1
# Disconnect → SUNSUBSCRIBE + bookkeeping cleared.
await cm.disconnect_socket(ws, user_id=user_id)
# Pump cancellation may drain in-flight messages; wait for it.
await asyncio.sleep(0.2)
# Channel bookkeeping must be gone.
assert (
graph_exec_channel_key(user_id, graph_exec_id=exec_id)
not in cm.subscriptions
)
assert ws not in cm._ws_subs
# Second publish — must NOT reach the (already-disconnected) socket.
cluster.spublish(
chan,
_node_event_payload(
user_id=user_id,
graph_id=graph_id,
graph_exec_id=exec_id,
marker="post-disconnect",
).decode(),
)
await asyncio.sleep(0.5)
# Still only the one pre-disconnect message.
assert len(sent) == 1
finally:
redis_client.disconnect()
@pytest.mark.asyncio
async def test_slow_consumer_receives_all_events_without_loss(monkeypatch) -> None:
"""Burst-publish many SPUBLISHes; assert every one reaches the subscriber
in order — guards against drops/reorderings in the pubsub pump."""
user_id = "user-conn-int-4"
graph_id = f"graph-{uuid4().hex[:8]}"
exec_id = f"exec-{uuid4().hex[:8]}"
n_events = 100
async def _fake_meta(_uid, gex_id):
return _meta(user_id, graph_id, gex_id)
monkeypatch.setattr("backend.api.conn_manager.get_graph_execution_meta", _fake_meta)
cm = ConnectionManager()
ws: AsyncMock = AsyncMock(spec=WebSocket)
sent: list[str] = []
ws.send_text = AsyncMock(side_effect=lambda m: sent.append(m))
redis_client.get_redis.cache_clear()
cluster = redis_client.get_redis()
chan = event_bus_channel(exec_channel(user_id, graph_id, exec_id))
try:
await cm.subscribe_graph_exec(
user_id=user_id, graph_exec_id=exec_id, websocket=ws
)
await asyncio.sleep(0.2)
# Burst-publish n_events without yielding to the pump.
for i in range(n_events):
cluster.spublish(
chan,
_node_event_payload(
user_id=user_id,
graph_id=graph_id,
graph_exec_id=exec_id,
marker=f"m{i}",
).decode(),
)
delivered = await _wait_until(
lambda: len(sent) >= n_events, timeout=15.0, interval=0.1
)
assert delivered, f"only delivered {len(sent)}/{n_events}"
# Validate ordering — Redis pub/sub is FIFO per channel.
markers = [json.loads(m)["data"]["input_data"]["in"] for m in sent[:n_events]]
assert markers == [f"m{i}" for i in range(n_events)]
finally:
await cm.disconnect_socket(ws, user_id=user_id)
redis_client.disconnect()

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View File

@@ -18,22 +18,14 @@ from pydantic import BaseModel, Field, SecretStr
from backend.api.external.middleware import require_permission
from backend.api.features.integrations.models import get_all_provider_names
from backend.api.features.integrations.router import (
CredentialsMetaResponse,
to_meta_response,
)
from backend.data.auth.base import APIAuthorizationInfo
from backend.data.model import (
APIKeyCredentials,
Credentials,
CredentialsType,
HostScopedCredentials,
OAuth2Credentials,
UserPasswordCredentials,
is_sdk_default,
)
from backend.integrations.credentials_store import (
is_system_credential,
provider_matches,
)
from backend.integrations.creds_manager import IntegrationCredentialsManager
from backend.integrations.oauth import CREDENTIALS_BY_PROVIDER, HANDLERS_BY_NAME
@@ -99,6 +91,18 @@ class OAuthCompleteResponse(BaseModel):
)
class CredentialSummary(BaseModel):
"""Summary of a credential without sensitive data."""
id: str
provider: str
type: CredentialsType
title: Optional[str] = None
scopes: Optional[list[str]] = None
username: Optional[str] = None
host: Optional[str] = None
class ProviderInfo(BaseModel):
"""Information about an integration provider."""
@@ -469,12 +473,12 @@ async def complete_oauth(
)
@integrations_router.get("/credentials", response_model=list[CredentialsMetaResponse])
@integrations_router.get("/credentials", response_model=list[CredentialSummary])
async def list_credentials(
auth: APIAuthorizationInfo = Security(
require_permission(APIKeyPermission.READ_INTEGRATIONS)
),
) -> list[CredentialsMetaResponse]:
) -> list[CredentialSummary]:
"""
List all credentials for the authenticated user.
@@ -482,19 +486,28 @@ async def list_credentials(
"""
credentials = await creds_manager.store.get_all_creds(auth.user_id)
return [
to_meta_response(cred) for cred in credentials if not is_sdk_default(cred.id)
CredentialSummary(
id=cred.id,
provider=cred.provider,
type=cred.type,
title=cred.title,
scopes=cred.scopes if isinstance(cred, OAuth2Credentials) else None,
username=cred.username if isinstance(cred, OAuth2Credentials) else None,
host=cred.host if isinstance(cred, HostScopedCredentials) else None,
)
for cred in credentials
]
@integrations_router.get(
"/{provider}/credentials", response_model=list[CredentialsMetaResponse]
"/{provider}/credentials", response_model=list[CredentialSummary]
)
async def list_credentials_by_provider(
provider: Annotated[str, Path(title="The provider to list credentials for")],
auth: APIAuthorizationInfo = Security(
require_permission(APIKeyPermission.READ_INTEGRATIONS)
),
) -> list[CredentialsMetaResponse]:
) -> list[CredentialSummary]:
"""
List credentials for a specific provider.
"""
@@ -502,7 +515,16 @@ async def list_credentials_by_provider(
auth.user_id, provider
)
return [
to_meta_response(cred) for cred in credentials if not is_sdk_default(cred.id)
CredentialSummary(
id=cred.id,
provider=cred.provider,
type=cred.type,
title=cred.title,
scopes=cred.scopes if isinstance(cred, OAuth2Credentials) else None,
username=cred.username if isinstance(cred, OAuth2Credentials) else None,
host=cred.host if isinstance(cred, HostScopedCredentials) else None,
)
for cred in credentials
]
@@ -575,11 +597,11 @@ async def create_credential(
# Store credentials
try:
await creds_manager.create(auth.user_id, credentials)
except Exception:
logger.exception("Failed to store credentials")
except Exception as e:
logger.error(f"Failed to store credentials: {e}")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to store credentials",
detail=f"Failed to store credentials: {str(e)}",
)
logger.info(f"Created {request.type} credentials for provider {provider}")
@@ -617,23 +639,15 @@ async def delete_credential(
use the main API's delete endpoint which handles webhook cleanup and
token revocation.
"""
if is_sdk_default(cred_id):
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
)
if is_system_credential(cred_id):
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="System-managed credentials cannot be deleted",
)
creds = await creds_manager.store.get_creds_by_id(auth.user_id, cred_id)
if not creds:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
)
if not provider_matches(creds.provider, provider):
if creds.provider != provider:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
status_code=status.HTTP_404_NOT_FOUND,
detail="Credentials do not match the specified provider",
)
await creds_manager.delete(auth.user_id, cred_id)

View File

@@ -72,7 +72,7 @@ class RunAgentRequest(BaseModel):
def _create_ephemeral_session(user_id: str) -> ChatSession:
"""Create an ephemeral session for stateless API requests."""
return ChatSession.new(user_id, dry_run=False)
return ChatSession.new(user_id)
@tools_router.post(

View File

@@ -1,932 +0,0 @@
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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@@ -1,889 +0,0 @@
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

@@ -14,70 +14,3 @@ 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

@@ -1,141 +0,0 @@
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

@@ -1,291 +0,0 @@
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

@@ -1,263 +0,0 @@
"""Admin endpoints for checking and resetting user CoPilot rate limit usage."""
import logging
from typing import Optional
from autogpt_libs.auth import get_user_id, requires_admin_user
from fastapi import APIRouter, Body, HTTPException, Security
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, search_users
logger = logging.getLogger(__name__)
config = ChatConfig()
router = APIRouter(
prefix="/admin",
tags=["copilot", "admin"],
dependencies=[Security(requires_admin_user)],
)
class UserRateLimitResponse(BaseModel):
user_id: str
user_email: Optional[str] = None
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(
user_id: Optional[str], email: Optional[str]
) -> tuple[str, Optional[str]]:
"""Resolve a user_id and email from the provided parameters.
Returns (user_id, email). Accepts either user_id or email; at least one
must be provided. When both are provided, ``email`` takes precedence.
"""
if email:
user = await get_user_by_email(email)
if not user:
raise HTTPException(
status_code=404, detail="No user found with the provided email."
)
return user.id, email
if not user_id:
raise HTTPException(
status_code=400,
detail="Either user_id or email query parameter is required.",
)
# We have a user_id; try to look up their email for display purposes.
# This is non-critical -- a failure should not block the response.
try:
resolved_email = await get_user_email_by_id(user_id)
except Exception:
logger.warning("Failed to resolve email for user %s", user_id, exc_info=True)
resolved_email = None
return user_id, resolved_email
@router.get(
"/rate_limit",
response_model=UserRateLimitResponse,
summary="Get User Rate Limit",
)
async def get_user_rate_limit(
user_id: Optional[str] = None,
email: Optional[str] = None,
admin_user_id: str = Security(get_user_id),
) -> UserRateLimitResponse:
"""Get a user's current usage and effective rate limits. Admin-only.
Accepts either ``user_id`` or ``email`` as a query parameter.
When ``email`` is provided the user is looked up by email first.
"""
resolved_id, resolved_email = await _resolve_user_id(user_id, email)
logger.info("Admin %s checking rate limit for user %s", admin_user_id, resolved_id)
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, tier=tier)
return UserRateLimitResponse(
user_id=resolved_id,
user_email=resolved_email,
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.post(
"/rate_limit/reset",
response_model=UserRateLimitResponse,
summary="Reset User Rate Limit Usage",
)
async def reset_user_rate_limit(
user_id: str = Body(embed=True),
reset_weekly: bool = Body(False, embed=True),
admin_user_id: str = Security(get_user_id),
) -> UserRateLimitResponse:
"""Reset a user's daily usage counter (and optionally weekly). Admin-only."""
logger.info(
"Admin %s resetting rate limit for user %s (reset_weekly=%s)",
admin_user_id,
user_id,
reset_weekly,
)
try:
await reset_user_usage(user_id, reset_weekly=reset_weekly)
except Exception as e:
logger.exception("Failed to reset user usage")
raise HTTPException(status_code=500, detail="Failed to reset usage") from e
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, tier=tier)
try:
resolved_email = await get_user_email_by_id(user_id)
except Exception:
logger.warning("Failed to resolve email for user %s", user_id, exc_info=True)
resolved_email = None
return UserRateLimitResponse(
user_id=user_id,
user_email=resolved_email,
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

@@ -1,566 +0,0 @@
import json
from types import SimpleNamespace
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 pytest_snapshot.plugin import Snapshot
from backend.copilot.rate_limit import CoPilotUsageStatus, SubscriptionTier, UsageWindow
from .rate_limit_admin_routes import router as rate_limit_admin_router
app = fastapi.FastAPI()
app.include_router(rate_limit_admin_router)
client = fastapi.testclient.TestClient(app)
_MOCK_MODULE = "backend.api.features.admin.rate_limit_admin_routes"
_TARGET_EMAIL = "target@example.com"
@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 _mock_usage_status(
daily_used: int = 500_000, weekly_used: int = 3_000_000
) -> CoPilotUsageStatus:
from datetime import UTC, datetime, timedelta
now = datetime.now(UTC)
return CoPilotUsageStatus(
daily=UsageWindow(
used=daily_used, limit=2_500_000, resets_at=now + timedelta(hours=6)
),
weekly=UsageWindow(
used=weekly_used, limit=12_500_000, resets_at=now + timedelta(days=3)
),
)
def _patch_rate_limit_deps(
mocker: pytest_mock.MockerFixture,
target_user_id: str,
daily_used: int = 500_000,
weekly_used: int = 3_000_000,
):
"""Patch the common rate-limit + user-lookup dependencies."""
mocker.patch(
f"{_MOCK_MODULE}.get_global_rate_limits",
new_callable=AsyncMock,
return_value=(2_500_000, 12_500_000, SubscriptionTier.BASIC),
)
mocker.patch(
f"{_MOCK_MODULE}.get_usage_status",
new_callable=AsyncMock,
return_value=_mock_usage_status(daily_used=daily_used, weekly_used=weekly_used),
)
mocker.patch(
f"{_MOCK_MODULE}.get_user_email_by_id",
new_callable=AsyncMock,
return_value=_TARGET_EMAIL,
)
def test_get_rate_limit(
mocker: pytest_mock.MockerFixture,
configured_snapshot: Snapshot,
target_user_id: str,
) -> None:
"""Test getting rate limit and usage for a user."""
_patch_rate_limit_deps(mocker, target_user_id)
response = client.get("/admin/rate_limit", params={"user_id": target_user_id})
assert response.status_code == 200
data = response.json()
assert data["user_id"] == target_user_id
assert data["user_email"] == _TARGET_EMAIL
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"] == "BASIC"
configured_snapshot.assert_match(
json.dumps(data, indent=2, sort_keys=True) + "\n",
"get_rate_limit",
)
def test_get_rate_limit_by_email(
mocker: pytest_mock.MockerFixture,
target_user_id: str,
) -> None:
"""Test looking up rate limits via email instead of user_id."""
_patch_rate_limit_deps(mocker, target_user_id)
mock_user = SimpleNamespace(id=target_user_id, email=_TARGET_EMAIL)
mocker.patch(
f"{_MOCK_MODULE}.get_user_by_email",
new_callable=AsyncMock,
return_value=mock_user,
)
response = client.get("/admin/rate_limit", params={"email": _TARGET_EMAIL})
assert response.status_code == 200
data = response.json()
assert data["user_id"] == target_user_id
assert data["user_email"] == _TARGET_EMAIL
assert data["daily_cost_limit_microdollars"] == 2_500_000
def test_get_rate_limit_by_email_not_found(
mocker: pytest_mock.MockerFixture,
) -> None:
"""Test that looking up a non-existent email returns 404."""
mocker.patch(
f"{_MOCK_MODULE}.get_user_by_email",
new_callable=AsyncMock,
return_value=None,
)
response = client.get("/admin/rate_limit", params={"email": "nobody@example.com"})
assert response.status_code == 404
def test_get_rate_limit_no_params() -> None:
"""Test that omitting both user_id and email returns 400."""
response = client.get("/admin/rate_limit")
assert response.status_code == 400
def test_reset_user_usage_daily_only(
mocker: pytest_mock.MockerFixture,
configured_snapshot: Snapshot,
target_user_id: str,
) -> None:
"""Test resetting only daily usage (default behaviour)."""
mock_reset = mocker.patch(
f"{_MOCK_MODULE}.reset_user_usage",
new_callable=AsyncMock,
)
_patch_rate_limit_deps(mocker, target_user_id, daily_used=0, weekly_used=3_000_000)
response = client.post(
"/admin/rate_limit/reset",
json={"user_id": target_user_id},
)
assert response.status_code == 200
data = response.json()
assert data["daily_cost_used_microdollars"] == 0
# Weekly is untouched
assert data["weekly_cost_used_microdollars"] == 3_000_000
assert data["tier"] == "BASIC"
mock_reset.assert_awaited_once_with(target_user_id, reset_weekly=False)
configured_snapshot.assert_match(
json.dumps(data, indent=2, sort_keys=True) + "\n",
"reset_user_usage_daily_only",
)
def test_reset_user_usage_daily_and_weekly(
mocker: pytest_mock.MockerFixture,
configured_snapshot: Snapshot,
target_user_id: str,
) -> None:
"""Test resetting both daily and weekly usage."""
mock_reset = mocker.patch(
f"{_MOCK_MODULE}.reset_user_usage",
new_callable=AsyncMock,
)
_patch_rate_limit_deps(mocker, target_user_id, daily_used=0, weekly_used=0)
response = client.post(
"/admin/rate_limit/reset",
json={"user_id": target_user_id, "reset_weekly": True},
)
assert response.status_code == 200
data = response.json()
assert data["daily_cost_used_microdollars"] == 0
assert data["weekly_cost_used_microdollars"] == 0
assert data["tier"] == "BASIC"
mock_reset.assert_awaited_once_with(target_user_id, reset_weekly=True)
configured_snapshot.assert_match(
json.dumps(data, indent=2, sort_keys=True) + "\n",
"reset_user_usage_daily_and_weekly",
)
def test_reset_user_usage_redis_failure(
mocker: pytest_mock.MockerFixture,
target_user_id: str,
) -> None:
"""Test that Redis failure on reset returns 500."""
mocker.patch(
f"{_MOCK_MODULE}.reset_user_usage",
new_callable=AsyncMock,
side_effect=Exception("Redis connection refused"),
)
response = client.post(
"/admin/rate_limit/reset",
json={"user_id": target_user_id},
)
assert response.status_code == 500
def test_get_rate_limit_email_lookup_failure(
mocker: pytest_mock.MockerFixture,
target_user_id: str,
) -> None:
"""Test that failing to resolve a user email degrades gracefully."""
mocker.patch(
f"{_MOCK_MODULE}.get_global_rate_limits",
new_callable=AsyncMock,
return_value=(2_500_000, 12_500_000, SubscriptionTier.BASIC),
)
mocker.patch(
f"{_MOCK_MODULE}.get_usage_status",
new_callable=AsyncMock,
return_value=_mock_usage_status(),
)
mocker.patch(
f"{_MOCK_MODULE}.get_user_email_by_id",
new_callable=AsyncMock,
side_effect=Exception("DB connection lost"),
)
response = client.get("/admin/rate_limit", params={"user_id": target_user_id})
assert response.status_code == 200
data = response.json()
assert data["user_id"] == target_user_id
assert data["user_email"] is None
def test_admin_endpoints_require_admin_role(mock_jwt_user) -> None:
"""Test that rate limit admin endpoints require admin role."""
app.dependency_overrides[get_jwt_payload] = mock_jwt_user["get_jwt_payload"]
response = client.get("/admin/rate_limit", params={"user_id": "test"})
assert response.status_code == 403
response = client.post(
"/admin/rate_limit/reset",
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.BASIC,
)
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 BASIC."""
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": "BASIC"},
)
assert response.status_code == 200
data = response.json()
assert data["user_id"] == target_user_id
assert data["tier"] == "BASIC"
mock_set.assert_awaited_once_with(target_user_id, SubscriptionTier.BASIC)
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.BASIC,
)
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

@@ -7,8 +7,6 @@ import fastapi
import fastapi.responses
import prisma.enums
import backend.api.features.library.db as library_db
import backend.api.features.library.model as library_model
import backend.api.features.store.cache as store_cache
import backend.api.features.store.db as store_db
import backend.api.features.store.model as store_model
@@ -134,40 +132,3 @@ async def admin_download_agent_file(
return fastapi.responses.FileResponse(
tmp_file.name, filename=file_name, media_type="application/json"
)
@router.get(
"/submissions/{store_listing_version_id}/preview",
summary="Admin Preview Submission Listing",
)
async def admin_preview_submission(
store_listing_version_id: str,
) -> store_model.StoreAgentDetails:
"""
Preview a marketplace submission as it would appear on the listing page.
Bypasses the APPROVED-only StoreAgent view so admins can preview pending
submissions before approving.
"""
return await store_db.get_store_agent_details_as_admin(store_listing_version_id)
@router.post(
"/submissions/{store_listing_version_id}/add-to-library",
summary="Admin Add Pending Agent to Library",
status_code=201,
)
async def admin_add_agent_to_library(
store_listing_version_id: str,
user_id: str = fastapi.Security(autogpt_libs.auth.get_user_id),
) -> library_model.LibraryAgent:
"""
Add a pending marketplace agent to the admin's library for review.
Uses admin-level access to bypass marketplace APPROVED-only checks.
The builder can load the graph because get_graph() checks library
membership as a fallback: "you added it, you keep it."
"""
return await library_db.add_store_agent_to_library_as_admin(
store_listing_version_id=store_listing_version_id,
user_id=user_id,
)

View File

@@ -1,335 +0,0 @@
"""Tests for admin store routes and the bypass logic they depend on.
Tests are organized by what they protect:
- SECRT-2162: get_graph_as_admin bypasses ownership/marketplace checks
- SECRT-2167 security: admin endpoints reject non-admin users
- SECRT-2167 bypass: preview queries StoreListingVersion (not StoreAgent view),
and add-to-library uses get_graph_as_admin (not get_graph)
"""
from datetime import datetime, timezone
from unittest.mock import AsyncMock, MagicMock, patch
import fastapi
import fastapi.responses
import fastapi.testclient
import pytest
import pytest_mock
from autogpt_libs.auth.jwt_utils import get_jwt_payload
from backend.data.graph import get_graph_as_admin
from backend.util.exceptions import NotFoundError
from .store_admin_routes import router as store_admin_router
# Shared constants
ADMIN_USER_ID = "admin-user-id"
CREATOR_USER_ID = "other-creator-id"
GRAPH_ID = "test-graph-id"
GRAPH_VERSION = 3
SLV_ID = "test-store-listing-version-id"
def _make_mock_graph(user_id: str = CREATOR_USER_ID) -> MagicMock:
graph = MagicMock()
graph.userId = user_id
graph.id = GRAPH_ID
graph.version = GRAPH_VERSION
graph.Nodes = []
return graph
# ---- SECRT-2162: get_graph_as_admin bypasses ownership checks ---- #
@pytest.mark.asyncio
async def test_admin_can_access_pending_agent_not_owned() -> None:
"""get_graph_as_admin must return a graph even when the admin doesn't own
it and it's not APPROVED in the marketplace."""
mock_graph = _make_mock_graph()
mock_graph_model = MagicMock(name="GraphModel")
with (
patch("backend.data.graph.AgentGraph.prisma") as mock_prisma,
patch(
"backend.data.graph.GraphModel.from_db",
return_value=mock_graph_model,
),
):
mock_prisma.return_value.find_first = AsyncMock(return_value=mock_graph)
result = await get_graph_as_admin(
graph_id=GRAPH_ID,
version=GRAPH_VERSION,
user_id=ADMIN_USER_ID,
for_export=False,
)
assert result is mock_graph_model
@pytest.mark.asyncio
async def test_admin_download_pending_agent_with_subagents() -> None:
"""get_graph_as_admin with for_export=True must call get_sub_graphs
and pass sub_graphs to GraphModel.from_db."""
mock_graph = _make_mock_graph()
mock_sub_graph = MagicMock(name="SubGraph")
mock_graph_model = MagicMock(name="GraphModel")
with (
patch("backend.data.graph.AgentGraph.prisma") as mock_prisma,
patch(
"backend.data.graph.get_sub_graphs",
new_callable=AsyncMock,
return_value=[mock_sub_graph],
) as mock_get_sub,
patch(
"backend.data.graph.GraphModel.from_db",
return_value=mock_graph_model,
) as mock_from_db,
):
mock_prisma.return_value.find_first = AsyncMock(return_value=mock_graph)
result = await get_graph_as_admin(
graph_id=GRAPH_ID,
version=GRAPH_VERSION,
user_id=ADMIN_USER_ID,
for_export=True,
)
assert result is mock_graph_model
mock_get_sub.assert_awaited_once_with(mock_graph)
mock_from_db.assert_called_once_with(
graph=mock_graph,
sub_graphs=[mock_sub_graph],
for_export=True,
)
# ---- SECRT-2167 security: admin endpoints reject non-admin users ---- #
app = fastapi.FastAPI()
app.include_router(store_admin_router)
@app.exception_handler(NotFoundError)
async def _not_found_handler(
request: fastapi.Request, exc: NotFoundError
) -> fastapi.responses.JSONResponse:
return fastapi.responses.JSONResponse(status_code=404, content={"detail": str(exc)})
client = fastapi.testclient.TestClient(app)
@pytest.fixture(autouse=True)
def setup_app_admin_auth(mock_jwt_admin):
"""Setup admin auth overrides for all route tests in this module."""
app.dependency_overrides[get_jwt_payload] = mock_jwt_admin["get_jwt_payload"]
yield
app.dependency_overrides.clear()
def test_preview_requires_admin(mock_jwt_user) -> None:
"""Non-admin users must get 403 on the preview endpoint."""
app.dependency_overrides[get_jwt_payload] = mock_jwt_user["get_jwt_payload"]
response = client.get(f"/admin/submissions/{SLV_ID}/preview")
assert response.status_code == 403
def test_add_to_library_requires_admin(mock_jwt_user) -> None:
"""Non-admin users must get 403 on the add-to-library endpoint."""
app.dependency_overrides[get_jwt_payload] = mock_jwt_user["get_jwt_payload"]
response = client.post(f"/admin/submissions/{SLV_ID}/add-to-library")
assert response.status_code == 403
def test_preview_nonexistent_submission(
mocker: pytest_mock.MockerFixture,
) -> None:
"""Preview of a nonexistent submission returns 404."""
mocker.patch(
"backend.api.features.admin.store_admin_routes.store_db"
".get_store_agent_details_as_admin",
side_effect=NotFoundError("not found"),
)
response = client.get(f"/admin/submissions/{SLV_ID}/preview")
assert response.status_code == 404
# ---- SECRT-2167 bypass: verify the right data sources are used ---- #
@pytest.mark.asyncio
async def test_preview_queries_store_listing_version_not_store_agent() -> None:
"""get_store_agent_details_as_admin must query StoreListingVersion
directly (not the APPROVED-only StoreAgent view). This is THE test that
prevents the bypass from being accidentally reverted."""
from backend.api.features.store.db import get_store_agent_details_as_admin
mock_slv = MagicMock()
mock_slv.id = SLV_ID
mock_slv.name = "Test Agent"
mock_slv.subHeading = "Short desc"
mock_slv.description = "Long desc"
mock_slv.videoUrl = None
mock_slv.agentOutputDemoUrl = None
mock_slv.imageUrls = ["https://example.com/img.png"]
mock_slv.instructions = None
mock_slv.categories = ["productivity"]
mock_slv.version = 1
mock_slv.agentGraphId = GRAPH_ID
mock_slv.agentGraphVersion = GRAPH_VERSION
mock_slv.updatedAt = datetime(2026, 3, 24, tzinfo=timezone.utc)
mock_slv.recommendedScheduleCron = "0 9 * * *"
mock_listing = MagicMock()
mock_listing.id = "listing-id"
mock_listing.slug = "test-agent"
mock_listing.activeVersionId = SLV_ID
mock_listing.hasApprovedVersion = False
mock_listing.CreatorProfile = MagicMock(username="creator", avatarUrl="")
mock_slv.StoreListing = mock_listing
with (
patch(
"backend.api.features.store.db.prisma.models" ".StoreListingVersion.prisma",
) as mock_slv_prisma,
patch(
"backend.api.features.store.db.prisma.models.StoreAgent.prisma",
) as mock_store_agent_prisma,
):
mock_slv_prisma.return_value.find_unique = AsyncMock(return_value=mock_slv)
result = await get_store_agent_details_as_admin(SLV_ID)
# Verify it queried StoreListingVersion (not the APPROVED-only StoreAgent)
mock_slv_prisma.return_value.find_unique.assert_awaited_once()
await_args = mock_slv_prisma.return_value.find_unique.await_args
assert await_args is not None
assert await_args.kwargs["where"] == {"id": SLV_ID}
# Verify the APPROVED-only StoreAgent view was NOT touched
mock_store_agent_prisma.assert_not_called()
# Verify the result has the right data
assert result.agent_name == "Test Agent"
assert result.agent_image == ["https://example.com/img.png"]
assert result.has_approved_version is False
assert result.runs == 0
assert result.rating == 0.0
@pytest.mark.asyncio
async def test_resolve_graph_admin_uses_get_graph_as_admin() -> None:
"""resolve_graph_for_library(admin=True) must call get_graph_as_admin,
not get_graph. This is THE test that prevents the add-to-library bypass
from being accidentally reverted."""
from backend.api.features.library._add_to_library import resolve_graph_for_library
mock_slv = MagicMock()
mock_slv.AgentGraph = MagicMock(id=GRAPH_ID, version=GRAPH_VERSION)
mock_graph_model = MagicMock(name="GraphModel")
with (
patch(
"backend.api.features.library._add_to_library.prisma.models"
".StoreListingVersion.prisma",
) as mock_prisma,
patch(
"backend.api.features.library._add_to_library.graph_db"
".get_graph_as_admin",
new_callable=AsyncMock,
return_value=mock_graph_model,
) as mock_admin,
patch(
"backend.api.features.library._add_to_library.graph_db.get_graph",
new_callable=AsyncMock,
) as mock_regular,
):
mock_prisma.return_value.find_unique = AsyncMock(return_value=mock_slv)
result = await resolve_graph_for_library(SLV_ID, ADMIN_USER_ID, admin=True)
assert result is mock_graph_model
mock_admin.assert_awaited_once_with(
graph_id=GRAPH_ID, version=GRAPH_VERSION, user_id=ADMIN_USER_ID
)
mock_regular.assert_not_awaited()
@pytest.mark.asyncio
async def test_resolve_graph_regular_uses_get_graph() -> None:
"""resolve_graph_for_library(admin=False) must call get_graph,
not get_graph_as_admin. Ensures the non-admin path is preserved."""
from backend.api.features.library._add_to_library import resolve_graph_for_library
mock_slv = MagicMock()
mock_slv.AgentGraph = MagicMock(id=GRAPH_ID, version=GRAPH_VERSION)
mock_graph_model = MagicMock(name="GraphModel")
with (
patch(
"backend.api.features.library._add_to_library.prisma.models"
".StoreListingVersion.prisma",
) as mock_prisma,
patch(
"backend.api.features.library._add_to_library.graph_db"
".get_graph_as_admin",
new_callable=AsyncMock,
) as mock_admin,
patch(
"backend.api.features.library._add_to_library.graph_db.get_graph",
new_callable=AsyncMock,
return_value=mock_graph_model,
) as mock_regular,
):
mock_prisma.return_value.find_unique = AsyncMock(return_value=mock_slv)
result = await resolve_graph_for_library(SLV_ID, "regular-user-id", admin=False)
assert result is mock_graph_model
mock_regular.assert_awaited_once_with(
graph_id=GRAPH_ID, version=GRAPH_VERSION, user_id="regular-user-id"
)
mock_admin.assert_not_awaited()
# ---- Library membership grants graph access (product decision) ---- #
@pytest.mark.asyncio
async def test_library_member_can_view_pending_agent_in_builder() -> None:
"""After adding a pending agent to their library, the user should be
able to load the graph in the builder via get_graph()."""
mock_graph = _make_mock_graph()
mock_graph_model = MagicMock(name="GraphModel")
mock_library_agent = MagicMock()
mock_library_agent.AgentGraph = mock_graph
with (
patch("backend.data.graph.AgentGraph.prisma") as mock_ag_prisma,
patch(
"backend.data.graph.StoreListingVersion.prisma",
) as mock_slv_prisma,
patch("backend.data.graph.LibraryAgent.prisma") as mock_lib_prisma,
patch(
"backend.data.graph.GraphModel.from_db",
return_value=mock_graph_model,
),
):
mock_ag_prisma.return_value.find_first = AsyncMock(return_value=None)
mock_slv_prisma.return_value.find_first = AsyncMock(return_value=None)
mock_lib_prisma.return_value.find_first = AsyncMock(
return_value=mock_library_agent
)
from backend.data.graph import get_graph
result = await get_graph(
graph_id=GRAPH_ID,
version=GRAPH_VERSION,
user_id=ADMIN_USER_ID,
)
assert result is mock_graph_model, "Library membership should grant graph access"

View File

@@ -4,12 +4,14 @@ from difflib import SequenceMatcher
from typing import Any, Sequence, get_args, get_origin
import prisma
from prisma.enums import ContentType
from prisma.models import mv_suggested_blocks
import backend.api.features.library.db as library_db
import backend.api.features.library.model as library_model
import backend.api.features.store.db as store_db
import backend.api.features.store.model as store_model
from backend.api.features.store.hybrid_search import unified_hybrid_search
from backend.blocks import load_all_blocks
from backend.blocks._base import (
AnyBlockSchema,
@@ -22,7 +24,6 @@ from backend.blocks.llm import LlmModel
from backend.integrations.providers import ProviderName
from backend.util.cache import cached
from backend.util.models import Pagination
from backend.util.text import split_camelcase
from .model import (
BlockCategoryResponse,
@@ -270,7 +271,7 @@ async def _build_cached_search_results(
# Use hybrid search when query is present, otherwise list all blocks
if (include_blocks or include_integrations) and normalized_query:
block_results, block_total, integration_total = await _text_search_blocks(
block_results, block_total, integration_total = await _hybrid_search_blocks(
query=search_query,
include_blocks=include_blocks,
include_integrations=include_integrations,
@@ -382,75 +383,117 @@ def _collect_block_results(
return results, block_count, integration_count
async def _text_search_blocks(
async def _hybrid_search_blocks(
*,
query: str,
include_blocks: bool,
include_integrations: bool,
) -> tuple[list[_ScoredItem], int, int]:
"""
Search blocks using in-memory text matching over the block registry.
Search blocks using hybrid search with builder-specific filtering.
All blocks are already loaded in memory, so this is fast and reliable
regardless of whether OpenAI embeddings are available.
Uses unified_hybrid_search for semantic + lexical search, then applies
post-filtering for block/integration types and scoring adjustments.
Scoring:
- Base: text relevance via _score_primary_fields, plus BLOCK_SCORE_BOOST
- Base: hybrid relevance score (0-1) scaled to 0-100, plus BLOCK_SCORE_BOOST
to prioritize blocks over marketplace agents in combined results
- +30 for exact name match, +15 for prefix name match
- +20 if the block has an LlmModel field and the query matches an LLM model name
Args:
query: The search query string
include_blocks: Whether to include regular blocks
include_integrations: Whether to include integration blocks
Returns:
Tuple of (scored_items, block_count, integration_count)
"""
results: list[_ScoredItem] = []
block_count = 0
integration_count = 0
if not include_blocks and not include_integrations:
return results, 0, 0
return results, block_count, integration_count
normalized_query = query.strip().lower()
all_results, _, _ = _collect_block_results(
include_blocks=include_blocks,
include_integrations=include_integrations,
# Fetch more results to account for post-filtering
search_results, _ = await unified_hybrid_search(
query=query,
content_types=[ContentType.BLOCK],
page=1,
page_size=150,
min_score=0.10,
)
# Load all blocks for getting BlockInfo
all_blocks = load_all_blocks()
for item in all_results:
block_info = item.item
assert isinstance(block_info, BlockInfo)
name = split_camelcase(block_info.name).lower()
for result in search_results:
block_id = result["content_id"]
# Build rich description including input field descriptions,
# matching the searchable text that the embedding pipeline uses
desc_parts = [block_info.description or ""]
block_cls = all_blocks.get(block_info.id)
if block_cls is not None:
block: AnyBlockSchema = block_cls()
desc_parts += [
f"{f}: {info.description}"
for f, info in block.input_schema.model_fields.items()
if info.description
]
description = " ".join(desc_parts).lower()
# Skip excluded blocks
if block_id in EXCLUDED_BLOCK_IDS:
continue
score = _score_primary_fields(name, description, normalized_query)
metadata = result.get("metadata", {})
hybrid_score = result.get("relevance", 0.0)
# Get the actual block class
if block_id not in all_blocks:
continue
block_cls = all_blocks[block_id]
block: AnyBlockSchema = block_cls()
if block.disabled:
continue
# Check block/integration filter using metadata
is_integration = metadata.get("is_integration", False)
if is_integration and not include_integrations:
continue
if not is_integration and not include_blocks:
continue
# Get block info
block_info = block.get_info()
# Calculate final score: scale hybrid score and add builder-specific bonuses
# Hybrid scores are 0-1, builder scores were 0-200+
# Add BLOCK_SCORE_BOOST to prioritize blocks over marketplace agents
final_score = hybrid_score * 100 + BLOCK_SCORE_BOOST
# Add LLM model match bonus
if block_cls is not None and _matches_llm_model(
block_cls().input_schema, normalized_query
):
score += 20
has_llm_field = metadata.get("has_llm_model_field", False)
if has_llm_field and _matches_llm_model(block.input_schema, normalized_query):
final_score += 20
if score >= MIN_SCORE_FOR_FILTERED_RESULTS:
results.append(
_ScoredItem(
item=block_info,
filter_type=item.filter_type,
score=score + BLOCK_SCORE_BOOST,
sort_key=name,
)
# Add exact/prefix match bonus for deterministic tie-breaking
name = block_info.name.lower()
if name == normalized_query:
final_score += 30
elif name.startswith(normalized_query):
final_score += 15
# Track counts
filter_type: FilterType = "integrations" if is_integration else "blocks"
if is_integration:
integration_count += 1
else:
block_count += 1
results.append(
_ScoredItem(
item=block_info,
filter_type=filter_type,
score=final_score,
sort_key=name,
)
)
block_count = sum(1 for r in results if r.filter_type == "blocks")
integration_count = sum(1 for r in results if r.filter_type == "integrations")
return results, block_count, integration_count

File diff suppressed because it is too large Load Diff

View File

@@ -1,13 +0,0 @@
"""Override session-scoped fixtures so unit tests run without the server."""
import pytest
@pytest.fixture(scope="session")
def server():
yield None
@pytest.fixture(scope="session", autouse=True)
def graph_cleanup():
yield

View File

@@ -7,7 +7,6 @@ allowing frontend code generators like Orval to create corresponding TypeScript
from pydantic import BaseModel, Field
from backend.data.model import CredentialsType
from backend.integrations.providers import ProviderName
from backend.sdk.registry import AutoRegistry
@@ -48,57 +47,6 @@ class ProviderNamesResponse(BaseModel):
)
class ProviderMetadata(BaseModel):
"""Display metadata for a provider, shown in the settings integrations UI."""
name: str = Field(description="Provider slug (e.g. ``github``)")
description: str | None = Field(
default=None,
description=(
"One-line human-readable summary of what the provider does. "
"Declared via ``ProviderBuilder.with_description(...)`` in the "
"provider's ``_config.py``. ``None`` if not set."
),
)
supported_auth_types: list[CredentialsType] = Field(
default_factory=list,
description=(
"Credential types this provider accepts. Drives which connection "
"tabs the settings UI renders for the provider. Empty list means "
"no auth types declared."
),
)
def get_supported_auth_types(name: str) -> list[CredentialsType]:
"""Return the provider's supported credential types from :class:`AutoRegistry`.
Populated by :meth:`ProviderBuilder.with_supported_auth_types` (or by
``with_oauth`` / ``with_api_key`` / ``with_user_password`` when the provider
uses the full builder chain). Returns an empty list for providers with no
auth types declared.
"""
provider = AutoRegistry.get_provider(name)
if provider is None:
return []
return sorted(provider.supported_auth_types)
def get_provider_description(name: str) -> str | None:
"""Return the provider's description from :class:`AutoRegistry`.
Descriptions are declared via ``ProviderBuilder.with_description(...)`` in
the provider's ``_config.py`` (SDK path) or in
``blocks/_static_provider_configs.py`` (for providers that don't yet have
their own directory). Returns ``None`` for providers with no registered
description.
"""
provider = AutoRegistry.get_provider(name)
if provider is None:
return None
return provider.description
class ProviderConstants(BaseModel):
"""
Model that exposes all provider names as a constant in the OpenAPI schema.

View File

@@ -14,7 +14,7 @@ from fastapi import (
Security,
status,
)
from pydantic import BaseModel, Field, model_validator
from pydantic import BaseModel, Field, SecretStr, model_validator
from starlette.status import HTTP_500_INTERNAL_SERVER_ERROR, HTTP_502_BAD_GATEWAY
from backend.api.features.library.db import set_preset_webhook, update_preset
@@ -29,32 +29,21 @@ from backend.data.integrations import (
wait_for_webhook_event,
)
from backend.data.model import (
APIKeyCredentials,
Credentials,
CredentialsType,
HostScopedCredentials,
OAuth2Credentials,
is_sdk_default,
UserIntegrations,
)
from backend.data.onboarding import OnboardingStep, complete_onboarding_step
from backend.data.user import get_user_integrations
from backend.executor.utils import add_graph_execution
from backend.integrations.ayrshare import AyrshareClient, SocialPlatform
from backend.integrations.credentials_store import (
is_system_credential,
provider_matches,
)
from backend.integrations.credentials_store import provider_matches
from backend.integrations.creds_manager import (
IntegrationCredentialsManager,
create_mcp_oauth_handler,
)
from backend.integrations.managed_credentials import (
ensure_managed_credential,
ensure_managed_credentials,
)
from backend.integrations.managed_providers.ayrshare import AyrshareManagedProvider
from backend.integrations.managed_providers.ayrshare import (
settings_available as ayrshare_settings_available,
)
from backend.integrations.oauth import CREDENTIALS_BY_PROVIDER, HANDLERS_BY_NAME
from backend.integrations.providers import ProviderName
from backend.integrations.webhooks import get_webhook_manager
@@ -66,14 +55,7 @@ from backend.util.exceptions import (
)
from backend.util.settings import Settings
from .models import (
ProviderConstants,
ProviderMetadata,
ProviderNamesResponse,
get_all_provider_names,
get_provider_description,
get_supported_auth_types,
)
from .models import ProviderConstants, ProviderNamesResponse, get_all_provider_names
if TYPE_CHECKING:
from backend.integrations.oauth import BaseOAuthHandler
@@ -100,23 +82,14 @@ async def login(
scopes: Annotated[
str, Query(title="Comma-separated list of authorization scopes")
] = "",
credential_id: Annotated[
str | None,
Query(title="ID of existing credential to upgrade scopes for"),
] = None,
) -> LoginResponse:
handler = _get_provider_oauth_handler(request, provider)
requested_scopes = scopes.split(",") if scopes else []
if credential_id:
requested_scopes = await _prepare_scope_upgrade(
user_id, provider, credential_id, requested_scopes
)
# Generate and store a secure random state token along with the scopes
state_token, code_challenge = await creds_manager.store.store_state_token(
user_id, provider, requested_scopes, credential_id=credential_id
user_id, provider, requested_scopes
)
login_url = handler.get_login_url(
requested_scopes, state_token, code_challenge=code_challenge
@@ -136,7 +109,6 @@ class CredentialsMetaResponse(BaseModel):
default=None,
description="Host pattern for host-scoped or MCP server URL for MCP credentials",
)
is_managed: bool = False
@model_validator(mode="before")
@classmethod
@@ -166,19 +138,6 @@ class CredentialsMetaResponse(BaseModel):
return None
def to_meta_response(cred: Credentials) -> CredentialsMetaResponse:
return CredentialsMetaResponse(
id=cred.id,
provider=cred.provider,
type=cred.type,
title=cred.title,
scopes=cred.scopes if isinstance(cred, OAuth2Credentials) else None,
username=cred.username if isinstance(cred, OAuth2Credentials) else None,
host=CredentialsMetaResponse.get_host(cred),
is_managed=cred.is_managed,
)
@router.post("/{provider}/callback", summary="Exchange OAuth code for tokens")
async def callback(
provider: Annotated[
@@ -238,54 +197,41 @@ async def callback(
)
# TODO: Allow specifying `title` to set on `credentials`
credentials = await _merge_or_create_credential(
user_id, provider, credentials, valid_state.credential_id
)
await creds_manager.create(user_id, credentials)
logger.debug(
f"Successfully processed OAuth callback for user {user_id} "
f"and provider {provider.value}"
)
return to_meta_response(credentials)
# Bound the first-time sweep so a slow upstream (e.g. Ayrshare) can't hang
# the credential-list endpoint. On timeout we still kick off a fire-and-
# forget sweep so provisioning eventually completes; the user just won't
# see the managed cred until the next refresh.
_MANAGED_PROVISION_TIMEOUT_S = 10.0
async def _ensure_managed_credentials_bounded(user_id: str) -> None:
try:
await asyncio.wait_for(
ensure_managed_credentials(user_id, creds_manager.store),
timeout=_MANAGED_PROVISION_TIMEOUT_S,
)
except asyncio.TimeoutError:
logger.warning(
"Managed credential sweep exceeded %.1fs for user=%s; "
"continuing without it — provisioning will complete in background",
_MANAGED_PROVISION_TIMEOUT_S,
user_id,
)
asyncio.create_task(ensure_managed_credentials(user_id, creds_manager.store))
return CredentialsMetaResponse(
id=credentials.id,
provider=credentials.provider,
type=credentials.type,
title=credentials.title,
scopes=credentials.scopes,
username=credentials.username,
host=(CredentialsMetaResponse.get_host(credentials)),
)
@router.get("/credentials", summary="List Credentials")
async def list_credentials(
user_id: Annotated[str, Security(get_user_id)],
) -> list[CredentialsMetaResponse]:
# Block on provisioning so managed credentials appear on the first load
# instead of after a refresh, but with a timeout so a slow upstream
# can't hang the endpoint. `_provisioned_users` short-circuits on
# repeat calls.
await _ensure_managed_credentials_bounded(user_id)
credentials = await creds_manager.store.get_all_creds(user_id)
return [
to_meta_response(cred) for cred in credentials if not is_sdk_default(cred.id)
CredentialsMetaResponse(
id=cred.id,
provider=cred.provider,
type=cred.type,
title=cred.title,
scopes=cred.scopes if isinstance(cred, OAuth2Credentials) else None,
username=cred.username if isinstance(cred, OAuth2Credentials) else None,
host=CredentialsMetaResponse.get_host(cred),
)
for cred in credentials
]
@@ -296,11 +242,19 @@ async def list_credentials_by_provider(
],
user_id: Annotated[str, Security(get_user_id)],
) -> list[CredentialsMetaResponse]:
await _ensure_managed_credentials_bounded(user_id)
credentials = await creds_manager.store.get_creds_by_provider(user_id, provider)
return [
to_meta_response(cred) for cred in credentials if not is_sdk_default(cred.id)
CredentialsMetaResponse(
id=cred.id,
provider=cred.provider,
type=cred.type,
title=cred.title,
scopes=cred.scopes if isinstance(cred, OAuth2Credentials) else None,
username=cred.username if isinstance(cred, OAuth2Credentials) else None,
host=CredentialsMetaResponse.get_host(cred),
)
for cred in credentials
]
@@ -313,130 +267,18 @@ async def get_credential(
],
cred_id: Annotated[str, Path(title="The ID of the credentials to retrieve")],
user_id: Annotated[str, Security(get_user_id)],
) -> CredentialsMetaResponse:
if is_sdk_default(cred_id):
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
)
) -> Credentials:
credential = await creds_manager.get(user_id, cred_id)
if not credential:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
)
if not provider_matches(credential.provider, provider):
if credential.provider != provider:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
status_code=status.HTTP_404_NOT_FOUND,
detail="Credentials do not match the specified provider",
)
return to_meta_response(credential)
class PickerTokenResponse(BaseModel):
"""Short-lived OAuth access token shipped to the browser for rendering a
provider-hosted picker UI (e.g. Google Drive Picker). Deliberately narrow:
only the fields the client needs to initialize the picker widget. Issued
from the user's own stored credential so ownership and scope gating are
enforced by the credential lookup."""
access_token: str = Field(
description="OAuth access token suitable for the picker SDK call."
)
access_token_expires_at: int | None = Field(
default=None,
description="Unix timestamp at which the access token expires, if known.",
)
# Allowlist of (provider, scopes) tuples that may mint picker tokens. Only
# Drive-picker-capable scopes qualify so a caller can't use this endpoint to
# extract a GitHub / other-provider OAuth token for unrelated purposes. If a
# future provider integrates a hosted picker that needs a raw access token,
# add its specific picker-relevant scopes here.
_PICKER_TOKEN_ALLOWED_SCOPES: dict[ProviderName, frozenset[str]] = {
ProviderName.GOOGLE: frozenset(
[
"https://www.googleapis.com/auth/drive.file",
"https://www.googleapis.com/auth/drive.readonly",
"https://www.googleapis.com/auth/drive",
]
),
}
@router.post(
"/{provider}/credentials/{cred_id}/picker-token",
summary="Issue a short-lived access token for a provider-hosted picker",
operation_id="postV1GetPickerToken",
)
async def get_picker_token(
provider: Annotated[
ProviderName, Path(title="The provider that owns the credentials")
],
cred_id: Annotated[
str, Path(title="The ID of the OAuth2 credentials to mint a token from")
],
user_id: Annotated[str, Security(get_user_id)],
) -> PickerTokenResponse:
"""Return the raw access token for an OAuth2 credential so the frontend
can initialize a provider-hosted picker (e.g. Google Drive Picker).
`GET /{provider}/credentials/{cred_id}` deliberately strips secrets (see
`CredentialsMetaResponse` + `TestGetCredentialReturnsMetaOnly` in
`router_test.py`). That hardening broke the Drive picker, which needs the
raw access token to call `google.picker.Builder.setOAuthToken(...)`. This
endpoint carves a narrow, explicit hole: the caller must own the
credential, it must be OAuth2, and the endpoint returns only the access
token + its expiry — nothing else about the credential. SDK-default
credentials are excluded for the same reason as `get_credential`.
"""
if is_sdk_default(cred_id):
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
)
credential = await creds_manager.get(user_id, cred_id)
if not credential:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
)
if not provider_matches(credential.provider, provider):
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
)
if not isinstance(credential, OAuth2Credentials):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Picker tokens are only available for OAuth2 credentials",
)
if not credential.access_token:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Credential has no access token; reconnect the account",
)
# Gate on provider+scope: only credentials that actually grant access to
# a provider-hosted picker flow may mint a token through this endpoint.
# Prevents using this path to extract bearer tokens for unrelated OAuth
# integrations (e.g. GitHub) that happen to be stored under the same user.
allowed_scopes = _PICKER_TOKEN_ALLOWED_SCOPES.get(provider)
if not allowed_scopes:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=(f"Picker tokens are not available for provider '{provider.value}'"),
)
cred_scopes = set(credential.scopes or [])
if cred_scopes.isdisjoint(allowed_scopes):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail=(
"Credential does not grant any scope eligible for the picker. "
"Reconnect with the appropriate scope."
),
)
return PickerTokenResponse(
access_token=credential.access_token.get_secret_value(),
access_token_expires_at=credential.access_token_expires_at,
)
return credential
@router.post("/{provider}/credentials", status_code=201, summary="Create Credentials")
@@ -446,22 +288,16 @@ async def create_credentials(
ProviderName, Path(title="The provider to create credentials for")
],
credentials: Credentials,
) -> CredentialsMetaResponse:
if is_sdk_default(credentials.id):
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="Cannot create credentials with a reserved ID",
)
) -> Credentials:
credentials.provider = provider
try:
await creds_manager.create(user_id, credentials)
except Exception:
logger.exception("Failed to store credentials")
except Exception as e:
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
detail="Failed to store credentials",
detail=f"Failed to store credentials: {str(e)}",
)
return to_meta_response(credentials)
return credentials
class CredentialsDeletionResponse(BaseModel):
@@ -496,29 +332,15 @@ async def delete_credentials(
bool, Query(title="Whether to proceed if any linked webhooks are still in use")
] = False,
) -> CredentialsDeletionResponse | CredentialsDeletionNeedsConfirmationResponse:
if is_sdk_default(cred_id):
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
)
if is_system_credential(cred_id):
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="System-managed credentials cannot be deleted",
)
creds = await creds_manager.store.get_creds_by_id(user_id, cred_id)
if not creds:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND, detail="Credentials not found"
)
if not provider_matches(creds.provider, provider):
if creds.provider != provider:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Credentials not found",
)
if creds.is_managed:
raise HTTPException(
status_code=status.HTTP_403_FORBIDDEN,
detail="AutoGPT-managed credentials cannot be deleted",
detail="Credentials do not match the specified provider",
)
try:
@@ -732,186 +554,6 @@ async def _execute_webhook_preset_trigger(
# Continue processing - webhook should be resilient to individual failures
# -------------------- INCREMENTAL AUTH HELPERS -------------------- #
async def _prepare_scope_upgrade(
user_id: str,
provider: ProviderName,
credential_id: str,
requested_scopes: list[str],
) -> list[str]:
"""Validate an existing credential for scope upgrade and compute scopes.
For providers without native incremental auth (e.g. GitHub), returns the
union of existing + requested scopes. For providers that handle merging
server-side (e.g. Google with ``include_granted_scopes``), returns the
requested scopes unchanged.
Raises HTTPException on validation failure.
"""
# Platform-owned system credentials must never be upgraded — scope
# changes here would leak across every user that shares them.
if is_system_credential(credential_id):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="System credentials cannot be upgraded",
)
existing = await creds_manager.store.get_creds_by_id(user_id, credential_id)
if not existing:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="Credential to upgrade not found",
)
if not isinstance(existing, OAuth2Credentials):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Only OAuth2 credentials can be upgraded",
)
if not provider_matches(existing.provider, provider.value):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Credential provider does not match the requested provider",
)
if existing.is_managed:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Managed credentials cannot be upgraded",
)
# Google handles scope merging via include_granted_scopes; others need
# the union of existing + new scopes in the login URL.
if provider != ProviderName.GOOGLE:
requested_scopes = list(set(requested_scopes) | set(existing.scopes))
return requested_scopes
async def _merge_or_create_credential(
user_id: str,
provider: ProviderName,
credentials: OAuth2Credentials,
credential_id: str | None,
) -> OAuth2Credentials:
"""Either upgrade an existing credential or create a new one.
When *credential_id* is set (explicit upgrade), merges scopes and updates
the existing credential. Otherwise, checks for an implicit merge (same
provider + username) before falling back to creating a new credential.
"""
if credential_id:
return await _upgrade_existing_credential(user_id, credential_id, credentials)
# Implicit merge: check for existing credential with same provider+username.
# Skip managed/system credentials and require a non-None username on both
# sides so we never accidentally merge unrelated credentials.
if credentials.username is None:
await creds_manager.create(user_id, credentials)
return credentials
existing_creds = await creds_manager.store.get_creds_by_provider(user_id, provider)
matching = next(
(
c
for c in existing_creds
if isinstance(c, OAuth2Credentials)
and not c.is_managed
and not is_system_credential(c.id)
and c.username is not None
and c.username == credentials.username
),
None,
)
if matching:
# Only merge into the existing credential when the new token
# already covers every scope we're about to advertise on it.
# Without this guard we'd overwrite ``matching.access_token`` with
# a narrower token while storing a wider ``scopes`` list — the
# record would claim authorizations the token does not grant, and
# blocks using the lost scopes would fail with opaque 401/403s
# until the user hits re-auth. On a narrowing login, keep the
# two credentials separate instead.
if set(credentials.scopes).issuperset(set(matching.scopes)):
return await _upgrade_existing_credential(user_id, matching.id, credentials)
await creds_manager.create(user_id, credentials)
return credentials
async def _upgrade_existing_credential(
user_id: str,
existing_cred_id: str,
new_credentials: OAuth2Credentials,
) -> OAuth2Credentials:
"""Merge scopes from *new_credentials* into an existing credential."""
# Defense-in-depth: re-check system and provider invariants right before
# the write. The login-time check in `_prepare_scope_upgrade` can go stale
# by the time the callback runs, and the implicit-merge path bypasses
# login-time validation entirely, so every write-path must enforce these
# on its own.
if is_system_credential(existing_cred_id):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="System credentials cannot be upgraded",
)
existing = await creds_manager.store.get_creds_by_id(user_id, existing_cred_id)
if not existing or not isinstance(existing, OAuth2Credentials):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Credential to upgrade not found",
)
if existing.is_managed:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Managed credentials cannot be upgraded",
)
if not provider_matches(existing.provider, new_credentials.provider):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Credential provider does not match the requested provider",
)
if (
existing.username
and new_credentials.username
and existing.username != new_credentials.username
):
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Username mismatch: authenticated as a different user",
)
# Operate on a copy so the caller's ``new_credentials`` object is not
# mutated out from under them. Every caller today immediately discards
# or replaces its reference, but the implicit-merge path in
# ``_merge_or_create_credential`` reads ``credentials.scopes`` before
# calling into us — a future reader after the call would otherwise
# silently see the overwritten values.
merged = new_credentials.model_copy(deep=True)
merged.id = existing.id
merged.title = existing.title
merged.scopes = list(set(existing.scopes) | set(new_credentials.scopes))
merged.metadata = {
**(existing.metadata or {}),
**(new_credentials.metadata or {}),
}
# Preserve the existing refresh_token and username if the incremental
# response doesn't carry them. Providers like Google only return a
# refresh_token on first authorization — dropping it here would orphan
# the credential on the next access-token expiry, forcing the user to
# re-auth from scratch. Username is similarly sticky: if we've already
# resolved it for this credential, keep it rather than silently
# blanking it on an incremental upgrade.
if not merged.refresh_token and existing.refresh_token:
merged.refresh_token = existing.refresh_token
merged.refresh_token_expires_at = existing.refresh_token_expires_at
if not merged.username and existing.username:
merged.username = existing.username
await creds_manager.update(user_id, merged)
return merged
# --------------------------- UTILITIES ---------------------------- #
@@ -1122,21 +764,12 @@ def _get_provider_oauth_handler(
async def get_ayrshare_sso_url(
user_id: Annotated[str, Security(get_user_id)],
) -> AyrshareSSOResponse:
"""Generate a JWT SSO URL so the user can link their social accounts.
The per-user Ayrshare profile key is provisioned and persisted as a
standard ``is_managed=True`` credential by
:class:`~backend.integrations.managed_providers.ayrshare.AyrshareManagedProvider`.
This endpoint only signs a short-lived JWT pointing at the Ayrshare-
hosted social-linking page; all profile lifecycle logic lives with the
managed provider.
"""
if not ayrshare_settings_available():
raise HTTPException(
status_code=HTTP_500_INTERNAL_SERVER_ERROR,
detail="Ayrshare integration is not configured",
)
Generate an SSO URL for Ayrshare social media integration.
Returns:
dict: Contains the SSO URL for Ayrshare integration
"""
try:
client = AyrshareClient()
except MissingConfigError:
@@ -1145,63 +778,66 @@ async def get_ayrshare_sso_url(
detail="Ayrshare integration is not configured",
)
# On-demand provisioning: AyrshareManagedProvider opts out of the
# credentials sweep (profile quota is per-user subscription-bound). This
# endpoint is the only trigger that provisions a profile — one Ayrshare
# profile per user who actually opens the connect flow, not one per
# every authenticated user.
provisioned = await ensure_managed_credential(
user_id, creds_manager.store, AyrshareManagedProvider()
)
if not provisioned:
raise HTTPException(
status_code=HTTP_502_BAD_GATEWAY,
detail="Failed to provision Ayrshare profile",
)
# Ayrshare profile key is stored in the credentials store
# It is generated when creating a new profile, if there is no profile key,
# we create a new profile and store the profile key in the credentials store
ayrshare_creds = [
c
for c in await creds_manager.store.get_creds_by_provider(user_id, "ayrshare")
if c.is_managed and isinstance(c, APIKeyCredentials)
]
if not ayrshare_creds:
logger.error(
"Ayrshare credential provisioning did not produce a credential "
"for user %s",
user_id,
)
raise HTTPException(
status_code=HTTP_502_BAD_GATEWAY,
detail="Failed to provision Ayrshare profile",
)
profile_key_str = ayrshare_creds[0].api_key.get_secret_value()
user_integrations: UserIntegrations = await get_user_integrations(user_id)
profile_key = user_integrations.managed_credentials.ayrshare_profile_key
if not profile_key:
logger.debug(f"Creating new Ayrshare profile for user {user_id}")
try:
profile = await client.create_profile(
title=f"User {user_id}", messaging_active=True
)
profile_key = profile.profileKey
await creds_manager.store.set_ayrshare_profile_key(user_id, profile_key)
except Exception as e:
logger.error(f"Error creating Ayrshare profile for user {user_id}: {e}")
raise HTTPException(
status_code=HTTP_502_BAD_GATEWAY,
detail="Failed to create Ayrshare profile",
)
else:
logger.debug(f"Using existing Ayrshare profile for user {user_id}")
profile_key_str = (
profile_key.get_secret_value()
if isinstance(profile_key, SecretStr)
else str(profile_key)
)
private_key = settings.secrets.ayrshare_jwt_key
# Ayrshare JWT max lifetime is 2880 minutes (48 h).
# Ayrshare JWT expiry is 2880 minutes (48 hours)
max_expiry_minutes = 2880
try:
logger.debug(f"Generating Ayrshare JWT for user {user_id}")
jwt_response = await client.generate_jwt(
private_key=private_key,
profile_key=profile_key_str,
# `allowed_social` is the set of networks the Ayrshare-hosted
# social-linking page will *offer* the user to connect. Blocks
# exist for more platforms than are listed here; the list is
# deliberately narrower so the rollout can verify each network
# end-to-end before widening the user-visible surface. Keep
# in sync with tested platforms — extend as each is verified
# against the block + Ayrshare's network-specific quirks.
allowed_social=[
# NOTE: We are enabling platforms one at a time
# to speed up the development process
# SocialPlatform.FACEBOOK,
SocialPlatform.TWITTER,
SocialPlatform.LINKEDIN,
SocialPlatform.INSTAGRAM,
SocialPlatform.YOUTUBE,
# SocialPlatform.REDDIT,
# SocialPlatform.TELEGRAM,
# SocialPlatform.GOOGLE_MY_BUSINESS,
# SocialPlatform.PINTEREST,
SocialPlatform.TIKTOK,
# SocialPlatform.BLUESKY,
# SocialPlatform.SNAPCHAT,
# SocialPlatform.THREADS,
],
expires_in=max_expiry_minutes,
verify=True,
)
except Exception as exc:
logger.error("Error generating Ayrshare JWT for user %s: %s", user_id, exc)
except Exception as e:
logger.error(f"Error generating Ayrshare JWT for user {user_id}: {e}")
raise HTTPException(
status_code=HTTP_502_BAD_GATEWAY, detail="Failed to generate JWT"
)
@@ -1211,37 +847,20 @@ async def get_ayrshare_sso_url(
# === PROVIDER DISCOVERY ENDPOINTS ===
@router.get("/providers", response_model=List[ProviderMetadata])
async def list_providers() -> List[ProviderMetadata]:
@router.get("/providers", response_model=List[str])
async def list_providers() -> List[str]:
"""
Get metadata for every available provider.
Get a list of all available provider names.
Returns both statically defined providers (from ``ProviderName`` enum) and
dynamically registered providers (from SDK decorators). Each entry includes
a ``description`` declared via ``ProviderBuilder.with_description(...)`` in
the provider's ``_config.py``.
Returns both statically defined providers (from ProviderName enum)
and dynamically registered providers (from SDK decorators).
Note: The complete list of provider names is also available as a constant
in the generated TypeScript client via PROVIDER_NAMES.
"""
# Ensure all block modules (and therefore every provider's _config.py) are
# imported before we read from AutoRegistry. Cached on first call.
try:
from backend.blocks import load_all_blocks
load_all_blocks()
except Exception as e:
logger.warning(f"Failed to load blocks for provider metadata: {e}")
# Get all providers at runtime
all_providers = get_all_provider_names()
return [
ProviderMetadata(
name=name,
description=get_provider_description(name),
supported_auth_types=get_supported_auth_types(name),
)
for name in all_providers
]
return all_providers
@router.get("/providers/system", response_model=List[str])

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@@ -1,748 +0,0 @@
"""Tests for credentials API security: no secret leakage, SDK defaults filtered."""
from contextlib import asynccontextmanager
from unittest.mock import AsyncMock, MagicMock, patch
import fastapi
import fastapi.testclient
import pytest
from pydantic import SecretStr
from backend.api.features.integrations.router import router
from backend.data.model import (
APIKeyCredentials,
HostScopedCredentials,
OAuth2Credentials,
UserPasswordCredentials,
)
app = fastapi.FastAPI()
app.include_router(router)
client = fastapi.testclient.TestClient(app)
TEST_USER_ID = "test-user-id"
def _make_api_key_cred(cred_id: str = "cred-123", provider: str = "openai"):
return APIKeyCredentials(
id=cred_id,
provider=provider,
title="My API Key",
api_key=SecretStr("sk-secret-key-value"),
)
def _make_oauth2_cred(cred_id: str = "cred-456", provider: str = "github"):
return OAuth2Credentials(
id=cred_id,
provider=provider,
title="My OAuth",
access_token=SecretStr("ghp_secret_token"),
refresh_token=SecretStr("ghp_refresh_secret"),
scopes=["repo", "user"],
username="testuser",
)
def _make_user_password_cred(cred_id: str = "cred-789", provider: str = "openai"):
return UserPasswordCredentials(
id=cred_id,
provider=provider,
title="My Login",
username=SecretStr("admin"),
password=SecretStr("s3cret-pass"),
)
def _make_host_scoped_cred(cred_id: str = "cred-host", provider: str = "openai"):
return HostScopedCredentials(
id=cred_id,
provider=provider,
title="Host Cred",
host="https://api.example.com",
headers={"Authorization": SecretStr("Bearer top-secret")},
)
def _make_sdk_default_cred(provider: str = "openai"):
return APIKeyCredentials(
id=f"{provider}-default",
provider=provider,
title=f"{provider} (default)",
api_key=SecretStr("sk-platform-secret-key"),
)
@pytest.fixture(autouse=True)
def setup_auth(mock_jwt_user):
from autogpt_libs.auth.jwt_utils import get_jwt_payload
app.dependency_overrides[get_jwt_payload] = mock_jwt_user["get_jwt_payload"]
yield
app.dependency_overrides.clear()
class TestGetCredentialReturnsMetaOnly:
"""GET /{provider}/credentials/{cred_id} must not return secrets."""
def test_api_key_credential_no_secret(self):
cred = _make_api_key_cred()
with (
patch.object(router, "dependencies", []),
patch("backend.api.features.integrations.router.creds_manager") as mock_mgr,
):
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.get("/openai/credentials/cred-123")
assert resp.status_code == 200
data = resp.json()
assert data["id"] == "cred-123"
assert data["provider"] == "openai"
assert data["type"] == "api_key"
assert "api_key" not in data
assert "sk-secret-key-value" not in str(data)
def test_oauth2_credential_no_secret(self):
cred = _make_oauth2_cred()
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.get("/github/credentials/cred-456")
assert resp.status_code == 200
data = resp.json()
assert data["id"] == "cred-456"
assert data["scopes"] == ["repo", "user"]
assert data["username"] == "testuser"
assert "access_token" not in data
assert "refresh_token" not in data
assert "ghp_" not in str(data)
def test_user_password_credential_no_secret(self):
cred = _make_user_password_cred()
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.get("/openai/credentials/cred-789")
assert resp.status_code == 200
data = resp.json()
assert data["id"] == "cred-789"
assert "password" not in data
assert "username" not in data or data["username"] is None
assert "s3cret-pass" not in str(data)
assert "admin" not in str(data)
def test_host_scoped_credential_no_secret(self):
cred = _make_host_scoped_cred()
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.get("/openai/credentials/cred-host")
assert resp.status_code == 200
data = resp.json()
assert data["id"] == "cred-host"
assert data["host"] == "https://api.example.com"
assert "headers" not in data
assert "top-secret" not in str(data)
def test_get_credential_wrong_provider_returns_404(self):
"""Provider mismatch should return generic 404, not leak credential existence."""
cred = _make_api_key_cred(provider="openai")
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.get("/github/credentials/cred-123")
assert resp.status_code == 404
assert resp.json()["detail"] == "Credentials not found"
def test_list_credentials_no_secrets(self):
"""List endpoint must not leak secrets in any credential."""
creds = [_make_api_key_cred(), _make_oauth2_cred()]
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.store.get_all_creds = AsyncMock(return_value=creds)
resp = client.get("/credentials")
assert resp.status_code == 200
raw = str(resp.json())
assert "sk-secret-key-value" not in raw
assert "ghp_secret_token" not in raw
assert "ghp_refresh_secret" not in raw
class TestSdkDefaultCredentialsNotAccessible:
"""SDK default credentials (ID ending in '-default') must be hidden."""
def test_get_sdk_default_returns_404(self):
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock()
resp = client.get("/openai/credentials/openai-default")
assert resp.status_code == 404
mock_mgr.get.assert_not_called()
def test_list_credentials_excludes_sdk_defaults(self):
user_cred = _make_api_key_cred()
sdk_cred = _make_sdk_default_cred("openai")
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.store.get_all_creds = AsyncMock(return_value=[user_cred, sdk_cred])
resp = client.get("/credentials")
assert resp.status_code == 200
data = resp.json()
ids = [c["id"] for c in data]
assert "cred-123" in ids
assert "openai-default" not in ids
def test_list_by_provider_excludes_sdk_defaults(self):
user_cred = _make_api_key_cred()
sdk_cred = _make_sdk_default_cred("openai")
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.store.get_creds_by_provider = AsyncMock(
return_value=[user_cred, sdk_cred]
)
resp = client.get("/openai/credentials")
assert resp.status_code == 200
data = resp.json()
ids = [c["id"] for c in data]
assert "cred-123" in ids
assert "openai-default" not in ids
def test_delete_sdk_default_returns_404(self):
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.store.get_creds_by_id = AsyncMock()
resp = client.request("DELETE", "/openai/credentials/openai-default")
assert resp.status_code == 404
mock_mgr.store.get_creds_by_id.assert_not_called()
class TestCreateCredentialNoSecretInResponse:
"""POST /{provider}/credentials must not return secrets."""
def test_create_api_key_no_secret_in_response(self):
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.create = AsyncMock()
resp = client.post(
"/openai/credentials",
json={
"id": "new-cred",
"provider": "openai",
"type": "api_key",
"title": "New Key",
"api_key": "sk-newsecret",
},
)
assert resp.status_code == 201
data = resp.json()
assert data["id"] == "new-cred"
assert "api_key" not in data
assert "sk-newsecret" not in str(data)
def test_create_with_sdk_default_id_rejected(self):
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.create = AsyncMock()
resp = client.post(
"/openai/credentials",
json={
"id": "openai-default",
"provider": "openai",
"type": "api_key",
"title": "Sneaky",
"api_key": "sk-evil",
},
)
assert resp.status_code == 403
mock_mgr.create.assert_not_called()
class TestManagedCredentials:
"""AutoGPT-managed credentials cannot be deleted by users."""
def test_delete_is_managed_returns_403(self):
cred = APIKeyCredentials(
id="managed-cred-1",
provider="agent_mail",
title="AgentMail (managed by AutoGPT)",
api_key=SecretStr("sk-managed-key"),
is_managed=True,
)
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.store.get_creds_by_id = AsyncMock(return_value=cred)
resp = client.request("DELETE", "/agent_mail/credentials/managed-cred-1")
assert resp.status_code == 403
assert "AutoGPT-managed" in resp.json()["detail"]
def test_list_credentials_includes_is_managed_field(self):
managed = APIKeyCredentials(
id="managed-1",
provider="agent_mail",
title="AgentMail (managed)",
api_key=SecretStr("sk-key"),
is_managed=True,
)
regular = APIKeyCredentials(
id="regular-1",
provider="openai",
title="My Key",
api_key=SecretStr("sk-key"),
)
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.store.get_all_creds = AsyncMock(return_value=[managed, regular])
resp = client.get("/credentials")
assert resp.status_code == 200
data = resp.json()
managed_cred = next(c for c in data if c["id"] == "managed-1")
regular_cred = next(c for c in data if c["id"] == "regular-1")
assert managed_cred["is_managed"] is True
assert regular_cred["is_managed"] is False
# ---------------------------------------------------------------------------
# Managed credential provisioning infrastructure
# ---------------------------------------------------------------------------
def _make_managed_cred(
provider: str = "agent_mail", pod_id: str = "pod-abc"
) -> APIKeyCredentials:
return APIKeyCredentials(
id="managed-auto",
provider=provider,
title="AgentMail (managed by AutoGPT)",
api_key=SecretStr("sk-pod-key"),
is_managed=True,
metadata={"pod_id": pod_id},
)
def _make_store_mock(**kwargs) -> MagicMock:
"""Create a store mock with a working async ``locks()`` context manager."""
@asynccontextmanager
async def _noop_locked(key):
yield
locks_obj = MagicMock()
locks_obj.locked = _noop_locked
store = MagicMock(**kwargs)
store.locks = AsyncMock(return_value=locks_obj)
return store
class TestEnsureManagedCredentials:
"""Unit tests for the ensure/cleanup helpers in managed_credentials.py."""
@pytest.mark.asyncio
async def test_provisions_when_missing(self):
"""Provider.provision() is called when no managed credential exists."""
from backend.integrations.managed_credentials import (
_PROVIDERS,
_provisioned_users,
ensure_managed_credentials,
)
cred = _make_managed_cred()
provider = MagicMock()
provider.provider_name = "test_provider"
provider.is_available = AsyncMock(return_value=True)
provider.provision = AsyncMock(return_value=cred)
store = _make_store_mock()
store.has_managed_credential = AsyncMock(return_value=False)
store.add_managed_credential = AsyncMock()
saved = dict(_PROVIDERS)
_PROVIDERS.clear()
_PROVIDERS["test_provider"] = provider
_provisioned_users.pop("user-1", None)
try:
await ensure_managed_credentials("user-1", store)
finally:
_PROVIDERS.clear()
_PROVIDERS.update(saved)
_provisioned_users.pop("user-1", None)
provider.provision.assert_awaited_once_with("user-1", store)
store.add_managed_credential.assert_awaited_once_with("user-1", cred)
@pytest.mark.asyncio
async def test_skips_when_already_exists(self):
"""Provider.provision() is NOT called when managed credential exists."""
from backend.integrations.managed_credentials import (
_PROVIDERS,
_provisioned_users,
ensure_managed_credentials,
)
provider = MagicMock()
provider.provider_name = "test_provider"
provider.is_available = AsyncMock(return_value=True)
provider.provision = AsyncMock()
store = _make_store_mock()
store.has_managed_credential = AsyncMock(return_value=True)
saved = dict(_PROVIDERS)
_PROVIDERS.clear()
_PROVIDERS["test_provider"] = provider
_provisioned_users.pop("user-1", None)
try:
await ensure_managed_credentials("user-1", store)
finally:
_PROVIDERS.clear()
_PROVIDERS.update(saved)
_provisioned_users.pop("user-1", None)
provider.provision.assert_not_awaited()
@pytest.mark.asyncio
async def test_skips_when_unavailable(self):
"""Provider.provision() is NOT called when provider is not available."""
from backend.integrations.managed_credentials import (
_PROVIDERS,
_provisioned_users,
ensure_managed_credentials,
)
provider = MagicMock()
provider.provider_name = "test_provider"
provider.is_available = AsyncMock(return_value=False)
provider.provision = AsyncMock()
store = _make_store_mock()
store.has_managed_credential = AsyncMock()
saved = dict(_PROVIDERS)
_PROVIDERS.clear()
_PROVIDERS["test_provider"] = provider
_provisioned_users.pop("user-1", None)
try:
await ensure_managed_credentials("user-1", store)
finally:
_PROVIDERS.clear()
_PROVIDERS.update(saved)
_provisioned_users.pop("user-1", None)
provider.provision.assert_not_awaited()
store.has_managed_credential.assert_not_awaited()
@pytest.mark.asyncio
async def test_provision_failure_does_not_propagate(self):
"""A failed provision is logged but does not raise."""
from backend.integrations.managed_credentials import (
_PROVIDERS,
_provisioned_users,
ensure_managed_credentials,
)
provider = MagicMock()
provider.provider_name = "test_provider"
provider.is_available = AsyncMock(return_value=True)
provider.provision = AsyncMock(side_effect=RuntimeError("boom"))
store = _make_store_mock()
store.has_managed_credential = AsyncMock(return_value=False)
saved = dict(_PROVIDERS)
_PROVIDERS.clear()
_PROVIDERS["test_provider"] = provider
_provisioned_users.pop("user-1", None)
try:
await ensure_managed_credentials("user-1", store)
finally:
_PROVIDERS.clear()
_PROVIDERS.update(saved)
_provisioned_users.pop("user-1", None)
# No exception raised — provisioning failure is swallowed.
class TestCleanupManagedCredentials:
"""Unit tests for cleanup_managed_credentials."""
@pytest.mark.asyncio
async def test_calls_deprovision_for_managed_creds(self):
from backend.integrations.managed_credentials import (
_PROVIDERS,
cleanup_managed_credentials,
)
cred = _make_managed_cred()
provider = MagicMock()
provider.provider_name = "agent_mail"
provider.deprovision = AsyncMock()
store = MagicMock()
store.get_all_creds = AsyncMock(return_value=[cred])
saved = dict(_PROVIDERS)
_PROVIDERS.clear()
_PROVIDERS["agent_mail"] = provider
try:
await cleanup_managed_credentials("user-1", store)
finally:
_PROVIDERS.clear()
_PROVIDERS.update(saved)
provider.deprovision.assert_awaited_once_with("user-1", cred)
@pytest.mark.asyncio
async def test_skips_non_managed_creds(self):
from backend.integrations.managed_credentials import (
_PROVIDERS,
cleanup_managed_credentials,
)
regular = _make_api_key_cred()
provider = MagicMock()
provider.provider_name = "openai"
provider.deprovision = AsyncMock()
store = MagicMock()
store.get_all_creds = AsyncMock(return_value=[regular])
saved = dict(_PROVIDERS)
_PROVIDERS.clear()
_PROVIDERS["openai"] = provider
try:
await cleanup_managed_credentials("user-1", store)
finally:
_PROVIDERS.clear()
_PROVIDERS.update(saved)
provider.deprovision.assert_not_awaited()
@pytest.mark.asyncio
async def test_deprovision_failure_does_not_propagate(self):
from backend.integrations.managed_credentials import (
_PROVIDERS,
cleanup_managed_credentials,
)
cred = _make_managed_cred()
provider = MagicMock()
provider.provider_name = "agent_mail"
provider.deprovision = AsyncMock(side_effect=RuntimeError("boom"))
store = MagicMock()
store.get_all_creds = AsyncMock(return_value=[cred])
saved = dict(_PROVIDERS)
_PROVIDERS.clear()
_PROVIDERS["agent_mail"] = provider
try:
await cleanup_managed_credentials("user-1", store)
finally:
_PROVIDERS.clear()
_PROVIDERS.update(saved)
# No exception raised — cleanup failure is swallowed.
class TestGetPickerToken:
"""POST /{provider}/credentials/{cred_id}/picker-token must:
1. Return the access token for OAuth2 creds the caller owns.
2. 404 for non-owned, non-existent, or wrong-provider creds.
3. 400 for non-OAuth2 creds (API key, host-scoped, user/password).
4. 404 for SDK default creds (same hardening as get_credential).
5. Preserve the `TestGetCredentialReturnsMetaOnly` contract — the
existing meta-only endpoint must still strip secrets even after
this picker-token endpoint exists."""
def test_oauth2_owner_gets_access_token(self):
# Use a Google cred with a drive.file scope — only picker-eligible
# (provider, scope) pairs can mint a token. GitHub-style creds are
# explicitly rejected; see `test_non_picker_provider_rejected_as_400`.
cred = _make_oauth2_cred(
cred_id="cred-gdrive",
provider="google",
)
cred.scopes = ["https://www.googleapis.com/auth/drive.file"]
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.post("/google/credentials/cred-gdrive/picker-token")
assert resp.status_code == 200
data = resp.json()
# The whole point of this endpoint: the access token IS returned here.
assert data["access_token"] == "ghp_secret_token"
# Only the two declared fields come back — nothing else leaks.
assert set(data.keys()) <= {"access_token", "access_token_expires_at"}
def test_non_picker_provider_rejected_as_400(self):
"""Provider allowlist: even with a valid OAuth2 credential, a
non-picker provider (GitHub, etc.) cannot mint a picker token.
Stops this endpoint from being used as a generic bearer-token
extraction path for any stored OAuth cred under the same user."""
cred = _make_oauth2_cred(provider="github")
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.post("/github/credentials/cred-456/picker-token")
assert resp.status_code == 400
assert "not available for provider" in resp.json()["detail"]
assert "ghp_secret_token" not in str(resp.json())
def test_google_oauth_without_drive_scope_rejected(self):
"""Scope allowlist: a Google OAuth2 cred that only carries non-picker
scopes (e.g. gmail.readonly, calendar) cannot mint a picker token.
Forces the frontend to reconnect with a Drive scope before the
picker is available."""
cred = _make_oauth2_cred(provider="google")
cred.scopes = [
"https://www.googleapis.com/auth/gmail.readonly",
"https://www.googleapis.com/auth/calendar",
]
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.post("/google/credentials/cred-456/picker-token")
assert resp.status_code == 400
assert "picker" in resp.json()["detail"].lower()
def test_api_key_credential_rejected_as_400(self):
cred = _make_api_key_cred()
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.post("/openai/credentials/cred-123/picker-token")
assert resp.status_code == 400
# API keys must not silently fall through to a 200 response of some
# other shape — the client should see a clear shape rejection.
body = str(resp.json())
assert "sk-secret-key-value" not in body
def test_user_password_credential_rejected_as_400(self):
cred = _make_user_password_cred()
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.post("/openai/credentials/cred-789/picker-token")
assert resp.status_code == 400
body = str(resp.json())
assert "s3cret-pass" not in body
assert "admin" not in body
def test_host_scoped_credential_rejected_as_400(self):
cred = _make_host_scoped_cred()
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.post("/openai/credentials/cred-host/picker-token")
assert resp.status_code == 400
assert "top-secret" not in str(resp.json())
def test_missing_credential_returns_404(self):
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=None)
resp = client.post("/github/credentials/nonexistent/picker-token")
assert resp.status_code == 404
assert resp.json()["detail"] == "Credentials not found"
def test_wrong_provider_returns_404(self):
"""Symmetric with get_credential: provider mismatch is a generic
404, not a 400, so we don't leak existence of a credential the
caller doesn't own on that provider."""
cred = _make_oauth2_cred(provider="github")
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.post("/google/credentials/cred-456/picker-token")
assert resp.status_code == 404
assert resp.json()["detail"] == "Credentials not found"
def test_sdk_default_returns_404(self):
"""SDK defaults are invisible to the user-facing API — picker-token
must not mint a token for them either."""
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock()
resp = client.post("/openai/credentials/openai-default/picker-token")
assert resp.status_code == 404
mock_mgr.get.assert_not_called()
def test_oauth2_without_access_token_returns_400(self):
"""A stored OAuth2 cred whose access_token is missing can't satisfy
a picker init. Surface a clear reconnect instruction rather than
returning an empty string."""
cred = _make_oauth2_cred()
# Simulate a cred that lost its access token
object.__setattr__(cred, "access_token", None)
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.post("/github/credentials/cred-456/picker-token")
assert resp.status_code == 400
assert "reconnect" in resp.json()["detail"].lower()
def test_meta_only_endpoint_still_strips_access_token(self):
"""Regression guard for the coexistence contract: the new
picker-token endpoint must NOT accidentally leak the token through
the meta-only GET endpoint. TestGetCredentialReturnsMetaOnly
covers this more broadly; this is a fast sanity check co-located
with the new endpoint's tests."""
cred = _make_oauth2_cred()
with patch(
"backend.api.features.integrations.router.creds_manager"
) as mock_mgr:
mock_mgr.get = AsyncMock(return_value=cred)
resp = client.get("/github/credentials/cred-456")
assert resp.status_code == 200
body = resp.json()
assert "access_token" not in body
assert "refresh_token" not in body
assert "ghp_secret_token" not in str(body)

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@@ -1,122 +0,0 @@
"""Shared logic for adding store agents to a user's library.
Both `add_store_agent_to_library` and `add_store_agent_to_library_as_admin`
delegate to these helpers so the duplication-prone create/restore/dedup
logic lives in exactly one place.
"""
import logging
import prisma.errors
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
from backend.util.json import SafeJson
logger = logging.getLogger(__name__)
async def resolve_graph_for_library(
store_listing_version_id: str,
user_id: str,
*,
admin: bool,
) -> GraphModel:
"""Look up a StoreListingVersion and resolve its graph.
When ``admin=True``, uses ``get_graph_as_admin`` to bypass the marketplace
APPROVED-only check. Otherwise uses the regular ``get_graph``.
"""
slv = await prisma.models.StoreListingVersion.prisma().find_unique(
where={"id": store_listing_version_id}, include={"AgentGraph": True}
)
if not slv or not slv.AgentGraph:
raise NotFoundError(
f"Store listing version {store_listing_version_id} not found or invalid"
)
ag = slv.AgentGraph
if admin:
graph_model = await graph_db.get_graph_as_admin(
graph_id=ag.id, version=ag.version, user_id=user_id
)
else:
graph_model = await graph_db.get_graph(
graph_id=ag.id, version=ag.version, user_id=user_id
)
if not graph_model:
raise NotFoundError(f"Graph #{ag.id} v{ag.version} not found or accessible")
return graph_model
async def add_graph_to_library(
store_listing_version_id: str,
graph_model: GraphModel,
user_id: str,
) -> library_model.LibraryAgent:
"""Check existing / restore soft-deleted / create new LibraryAgent.
Uses a create-then-catch-UniqueViolationError-then-update pattern on
the (userId, agentGraphId, agentGraphVersion) composite unique constraint.
This is more robust than ``upsert`` because Prisma's upsert atomicity
guarantees are not well-documented for all versions.
"""
settings_json = SafeJson(GraphSettings.from_graph(graph_model).model_dump())
_include = library_agent_include(
user_id, include_nodes=False, include_executions=False
)
try:
added_agent = await prisma.models.LibraryAgent.prisma().create(
data={
"User": {"connect": {"id": user_id}},
"AgentGraph": {
"connect": {
"graphVersionId": {
"id": graph_model.id,
"version": graph_model.version,
}
}
},
"isCreatedByUser": False,
"useGraphIsActiveVersion": False,
"settings": settings_json,
},
include=_include,
)
except prisma.errors.UniqueViolationError:
# Already exists — update to restore if previously soft-deleted/archived
added_agent = await prisma.models.LibraryAgent.prisma().update(
where={
"userId_agentGraphId_agentGraphVersion": {
"userId": user_id,
"agentGraphId": graph_model.id,
"agentGraphVersion": graph_model.version,
}
},
data={
"isDeleted": False,
"isArchived": False,
"settings": settings_json,
},
include=_include,
)
if added_agent is None:
raise NotFoundError(
f"LibraryAgent for graph #{graph_model.id} "
f"v{graph_model.version} not found after UniqueViolationError"
)
logger.debug(
f"Added graph #{graph_model.id} v{graph_model.version} "
f"for store listing version #{store_listing_version_id} "
f"to library for user #{user_id}"
)
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

@@ -1,88 +0,0 @@
from unittest.mock import AsyncMock, MagicMock, patch
import prisma.errors
import pytest
from ._add_to_library import add_graph_to_library
@pytest.mark.asyncio
async def test_add_graph_to_library_create_new_agent() -> None:
"""When no matching LibraryAgent exists, create inserts a new one."""
graph_model = MagicMock(id="graph-id", version=2, nodes=[])
created_agent = MagicMock(name="CreatedLibraryAgent")
converted_agent = MagicMock(name="ConvertedLibraryAgent")
with (
patch(
"backend.api.features.library._add_to_library.prisma.models.LibraryAgent.prisma"
) as mock_prisma,
patch(
"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, schedule_info={})
# Verify create was called with correct data
create_call = mock_prisma.return_value.create.call_args
create_data = create_call.kwargs["data"]
assert create_data["User"] == {"connect": {"id": "user-id"}}
assert create_data["AgentGraph"] == {
"connect": {"graphVersionId": {"id": "graph-id", "version": 2}}
}
assert create_data["isCreatedByUser"] is False
assert create_data["useGraphIsActiveVersion"] is False
@pytest.mark.asyncio
async def test_add_graph_to_library_unique_violation_updates_existing() -> None:
"""UniqueViolationError on create falls back to update."""
graph_model = MagicMock(id="graph-id", version=2, nodes=[])
updated_agent = MagicMock(name="UpdatedLibraryAgent")
converted_agent = MagicMock(name="ConvertedLibraryAgent")
with (
patch(
"backend.api.features.library._add_to_library.prisma.models.LibraryAgent.prisma"
) as mock_prisma,
patch(
"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(
MagicMock(), message="unique constraint"
)
)
mock_prisma.return_value.update = AsyncMock(return_value=updated_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(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"] == {
"userId_agentGraphId_agentGraphVersion": {
"userId": "user-id",
"agentGraphId": "graph-id",
"agentGraphVersion": 2,
}
}
update_data = update_call.kwargs["data"]
assert update_data["isDeleted"] is False
assert update_data["isArchived"] is False

View File

@@ -1,7 +1,6 @@
import asyncio
import itertools
import logging
from datetime import datetime, timezone
from typing import Literal, Optional
import fastapi
@@ -44,65 +43,6 @@ 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,
@@ -197,22 +137,12 @@ 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,
execution_count_override=execution_counts.get(agent.agentGraphId),
schedule_info=schedule_info,
)
library_agent = library_model.LibraryAgent.from_db(agent)
valid_library_agents.append(library_agent)
except Exception as e:
# Skip this agent if there was an error
@@ -284,22 +214,12 @@ 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,
execution_count_override=execution_counts.get(agent.agentGraphId),
schedule_info=schedule_info,
)
library_agent = library_model.LibraryAgent.from_db(agent)
valid_library_agents.append(library_agent)
except Exception as e:
# Skip this agent if there was an error
@@ -365,12 +285,6 @@ 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=(
@@ -380,7 +294,6 @@ async def get_library_agent(id: str, user_id: str) -> library_model.LibraryAgent
),
store_listing=store_listing,
profile=profile,
schedule_info=schedule_info,
)
@@ -416,25 +329,19 @@ async def get_library_agent_by_store_version_id(
},
include=library_agent_include(user_id),
)
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)
return library_model.LibraryAgent.from_db(agent) if agent else None
async def get_library_agent_by_graph_id(
user_id: str,
graph_id: str,
graph_version: Optional[int] = None,
include_archived: bool = False,
) -> library_model.LibraryAgent | None:
filter: prisma.types.LibraryAgentWhereInput = {
"agentGraphId": graph_id,
"userId": user_id,
"isDeleted": False,
}
if not include_archived:
filter["isArchived"] = False
if graph_version is not None:
filter["agentGraphVersion"] = graph_version
@@ -448,10 +355,7 @@ 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)
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
)
return library_model.LibraryAgent.from_db(agent, sub_graphs=sub_graphs)
async def add_generated_agent_image(
@@ -529,58 +433,32 @@ async def create_library_agent(
async with transaction() as tx:
library_agents = await asyncio.gather(
*(
prisma.models.LibraryAgent.prisma(tx).upsert(
where={
"userId_agentGraphId_agentGraphVersion": {
"userId": user_id,
"agentGraphId": graph_entry.id,
"agentGraphVersion": graph_entry.version,
}
},
data={
"create": prisma.types.LibraryAgentCreateInput(
isCreatedByUser=(user_id == graph.user_id),
useGraphIsActiveVersion=True,
User={"connect": {"id": user_id}},
AgentGraph={
"connect": {
"graphVersionId": {
"id": graph_entry.id,
"version": graph_entry.version,
}
prisma.models.LibraryAgent.prisma(tx).create(
data=prisma.types.LibraryAgentCreateInput(
isCreatedByUser=(user_id == user_id),
useGraphIsActiveVersion=True,
User={"connect": {"id": user_id}},
AgentGraph={
"connect": {
"graphVersionId": {
"id": graph_entry.id,
"version": graph_entry.version,
}
},
settings=SafeJson(
GraphSettings.from_graph(
graph_entry,
hitl_safe_mode=hitl_safe_mode,
sensitive_action_safe_mode=sensitive_action_safe_mode,
).model_dump()
),
**(
{"Folder": {"connect": {"id": folder_id}}}
if folder_id and graph_entry is graph
else {}
),
),
"update": {
"isDeleted": False,
"isArchived": False,
"useGraphIsActiveVersion": True,
"settings": SafeJson(
GraphSettings.from_graph(
graph_entry,
hitl_safe_mode=hitl_safe_mode,
sensitive_action_safe_mode=sensitive_action_safe_mode,
).model_dump()
),
**(
{"Folder": {"connect": {"id": folder_id}}}
if folder_id and graph_entry is graph
else {}
),
}
},
},
settings=SafeJson(
GraphSettings.from_graph(
graph_entry,
hitl_safe_mode=hitl_safe_mode,
sensitive_action_safe_mode=sensitive_action_safe_mode,
).model_dump()
),
**(
{"Folder": {"connect": {"id": folder_id}}}
if folder_id and graph_entry is graph
else {}
),
),
include=library_agent_include(
user_id, include_nodes=False, include_executions=False
),
@@ -593,11 +471,7 @@ 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))
schedule_info = await _fetch_schedule_info(user_id)
return [
library_model.LibraryAgent.from_db(agent, schedule_info=schedule_info)
for agent in library_agents
]
return [library_model.LibraryAgent.from_db(agent) for agent in library_agents]
async def update_agent_version_in_library(
@@ -659,8 +533,7 @@ async def update_agent_version_in_library(
f"Failed to update library agent for {agent_graph_id} v{agent_graph_version}"
)
schedule_info = await _fetch_schedule_info(user_id, graph_id=agent_graph_id)
return library_model.LibraryAgent.from_db(lib, schedule_info=schedule_info)
return library_model.LibraryAgent.from_db(lib)
async def create_graph_in_library(
@@ -709,9 +582,7 @@ async def update_graph_in_library(
created_graph = await graph_db.create_graph(graph_model, user_id)
library_agent = await get_library_agent_by_graph_id(
user_id, created_graph.id, include_archived=True
)
library_agent = await get_library_agent_by_graph_id(user_id, created_graph.id)
if not library_agent:
raise NotFoundError(f"Library agent not found for graph {created_graph.id}")
@@ -743,7 +614,6 @@ 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(
@@ -948,38 +818,92 @@ async def delete_library_agent_by_graph_id(graph_id: str, user_id: str) -> None:
async def add_store_agent_to_library(
store_listing_version_id: str, user_id: str
) -> library_model.LibraryAgent:
"""Adds a marketplace agent to the users library.
See also: `add_store_agent_to_library_as_admin()` which uses
`get_graph_as_admin` to bypass marketplace status checks for admin review.
"""
from ._add_to_library import add_graph_to_library, resolve_graph_for_library
Adds an agent from a store listing version to the user's library if they don't already have it.
Args:
store_listing_version_id: The ID of the store listing version containing the agent.
user_id: The users library to which the agent is being added.
Returns:
The newly created LibraryAgent if successfully added, the existing corresponding one if any.
Raises:
NotFoundError: If the store listing or associated agent is not found.
DatabaseError: If there's an issue creating the LibraryAgent record.
"""
logger.debug(
f"Adding agent from store listing version #{store_listing_version_id} "
f"to library for user #{user_id}"
)
graph_model = await resolve_graph_for_library(
store_listing_version_id, user_id, admin=False
)
return await add_graph_to_library(store_listing_version_id, graph_model, user_id)
async def add_store_agent_to_library_as_admin(
store_listing_version_id: str, user_id: str
) -> library_model.LibraryAgent:
"""Admin variant that uses `get_graph_as_admin` to bypass marketplace
APPROVED-only checks, allowing admins to add pending agents for review."""
from ._add_to_library import add_graph_to_library, resolve_graph_for_library
logger.warning(
f"ADMIN adding agent from store listing version "
f"#{store_listing_version_id} to library for user #{user_id}"
store_listing_version = (
await prisma.models.StoreListingVersion.prisma().find_unique(
where={"id": store_listing_version_id}, include={"AgentGraph": True}
)
)
graph_model = await resolve_graph_for_library(
store_listing_version_id, user_id, admin=True
if not store_listing_version or not store_listing_version.AgentGraph:
logger.warning(f"Store listing version not found: {store_listing_version_id}")
raise NotFoundError(
f"Store listing version {store_listing_version_id} not found or invalid"
)
graph = store_listing_version.AgentGraph
# Convert to GraphModel to check for HITL blocks
graph_model = await graph_db.get_graph(
graph_id=graph.id,
version=graph.version,
user_id=user_id,
include_subgraphs=False,
)
return await add_graph_to_library(store_listing_version_id, graph_model, user_id)
if not graph_model:
raise NotFoundError(
f"Graph #{graph.id} v{graph.version} not found or accessible"
)
# Check if user already has this agent (non-deleted)
if existing := await get_library_agent_by_graph_id(
user_id, graph.id, graph.version
):
return existing
# Check for soft-deleted version and restore it
deleted_agent = await prisma.models.LibraryAgent.prisma().find_unique(
where={
"userId_agentGraphId_agentGraphVersion": {
"userId": user_id,
"agentGraphId": graph.id,
"agentGraphVersion": graph.version,
}
},
)
if deleted_agent and deleted_agent.isDeleted:
return await update_library_agent(deleted_agent.id, user_id, is_deleted=False)
# Create LibraryAgent entry
added_agent = await prisma.models.LibraryAgent.prisma().create(
data={
"User": {"connect": {"id": user_id}},
"AgentGraph": {
"connect": {
"graphVersionId": {"id": graph.id, "version": graph.version}
}
},
"isCreatedByUser": False,
"useGraphIsActiveVersion": False,
"settings": SafeJson(GraphSettings.from_graph(graph_model).model_dump()),
},
include=library_agent_include(
user_id, include_nodes=False, include_executions=False
),
)
logger.debug(
f"Added graph #{graph.id} v{graph.version}"
f"for store listing version #{store_listing_version.id} "
f"to library for user #{user_id}"
)
return library_model.LibraryAgent.from_db(added_agent)
##############################################
@@ -1566,11 +1490,7 @@ async def bulk_move_agents_to_folder(
),
)
schedule_info = await _fetch_schedule_info(user_id)
return [
library_model.LibraryAgent.from_db(agent, schedule_info=schedule_info)
for agent in agents
]
return [library_model.LibraryAgent.from_db(agent) for agent in agents]
def collect_tree_ids(
@@ -1804,7 +1724,7 @@ async def create_preset_from_graph_execution(
raise NotFoundError(
f"Graph #{graph_execution.graph_id} not found or accessible"
)
elif len(graph.regular_credentials_inputs) > 0:
elif len(graph.aggregate_credentials_inputs()) > 0:
raise ValueError(
f"Graph execution #{graph_exec_id} can't be turned into a preset "
"because it was run before this feature existed "

View File

@@ -1,6 +1,4 @@
from contextlib import asynccontextmanager
from datetime import datetime
from unittest.mock import AsyncMock, MagicMock, patch
import prisma.enums
import prisma.models
@@ -65,11 +63,6 @@ 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")
@@ -92,6 +85,10 @@ async def test_get_library_agents(mocker):
async def test_add_agent_to_library(mocker):
await connect()
# Mock the transaction context
mock_transaction = mocker.patch("backend.api.features.library.db.transaction")
mock_transaction.return_value.__aenter__ = mocker.AsyncMock(return_value=None)
mock_transaction.return_value.__aexit__ = mocker.AsyncMock(return_value=None)
# Mock data
mock_store_listing_data = prisma.models.StoreListingVersion(
id="version123",
@@ -146,18 +143,15 @@ async def test_add_agent_to_library(mocker):
)
mock_library_agent = mocker.patch("prisma.models.LibraryAgent.prisma")
mock_library_agent.return_value.find_first = mocker.AsyncMock(return_value=None)
mock_library_agent.return_value.find_unique = mocker.AsyncMock(return_value=None)
mock_library_agent.return_value.create = mocker.AsyncMock(
return_value=mock_library_agent_data
)
# Mock graph_db.get_graph function that's called in resolve_graph_for_library
# (lives in _add_to_library.py after refactor, not db.py)
mock_graph_db = mocker.patch(
"backend.api.features.library._add_to_library.graph_db"
)
# Mock graph_db.get_graph function that's called to check for HITL blocks
mock_graph_db = mocker.patch("backend.api.features.library.db.graph_db")
mock_graph_model = mocker.Mock()
mock_graph_model.id = "agent1"
mock_graph_model.version = 1
mock_graph_model.nodes = (
[]
) # Empty list so _has_human_in_the_loop_blocks returns False
@@ -176,27 +170,37 @@ async def test_add_agent_to_library(mocker):
mock_store_listing_version.return_value.find_unique.assert_called_once_with(
where={"id": "version123"}, include={"AgentGraph": True}
)
mock_library_agent.return_value.find_unique.assert_called_once_with(
where={
"userId_agentGraphId_agentGraphVersion": {
"userId": "test-user",
"agentGraphId": "agent1",
"agentGraphVersion": 1,
}
},
)
# Check that create was called with the expected data including settings
create_call_args = mock_library_agent.return_value.create.call_args
assert create_call_args is not None
# Verify the create data structure
create_data = create_call_args.kwargs["data"]
expected_create = {
# Verify the main structure
expected_data = {
"User": {"connect": {"id": "test-user"}},
"AgentGraph": {"connect": {"graphVersionId": {"id": "agent1", "version": 1}}},
"isCreatedByUser": False,
"useGraphIsActiveVersion": False,
}
for key, value in expected_create.items():
assert create_data[key] == value
actual_data = create_call_args[1]["data"]
# Check that all expected fields are present
for key, value in expected_data.items():
assert actual_data[key] == value
# Check that settings field is present and is a SafeJson object
assert "settings" in create_data
assert hasattr(create_data["settings"], "__class__") # Should be a SafeJson object
assert "settings" in actual_data
assert hasattr(actual_data["settings"], "__class__") # Should be a SafeJson object
# Check include parameter
assert create_call_args.kwargs["include"] == library_agent_include(
assert create_call_args[1]["include"] == library_agent_include(
"test-user", include_nodes=False, include_executions=False
)
@@ -220,274 +224,3 @@ async def test_add_agent_to_library_not_found(mocker):
mock_store_listing_version.return_value.find_unique.assert_called_once_with(
where={"id": "version123"}, include={"AgentGraph": True}
)
@pytest.mark.asyncio
async def test_get_library_agent_by_graph_id_excludes_archived(mocker):
mock_library_agent = mocker.patch("prisma.models.LibraryAgent.prisma")
mock_library_agent.return_value.find_first = mocker.AsyncMock(return_value=None)
result = await db.get_library_agent_by_graph_id("test-user", "agent1", 7)
assert result is None
mock_library_agent.return_value.find_first.assert_called_once()
where = mock_library_agent.return_value.find_first.call_args.kwargs["where"]
assert where == {
"agentGraphId": "agent1",
"userId": "test-user",
"isDeleted": False,
"isArchived": False,
"agentGraphVersion": 7,
}
@pytest.mark.asyncio
async def test_get_library_agent_by_graph_id_can_include_archived(mocker):
mock_library_agent = mocker.patch("prisma.models.LibraryAgent.prisma")
mock_library_agent.return_value.find_first = mocker.AsyncMock(return_value=None)
result = await db.get_library_agent_by_graph_id(
"test-user",
"agent1",
7,
include_archived=True,
)
assert result is None
mock_library_agent.return_value.find_first.assert_called_once()
where = mock_library_agent.return_value.find_first.call_args.kwargs["where"]
assert where == {
"agentGraphId": "agent1",
"userId": "test-user",
"isDeleted": False,
"agentGraphVersion": 7,
}
@pytest.mark.asyncio
async def test_update_graph_in_library_allows_archived_library_agent(mocker):
graph = mocker.Mock(id="graph-id")
existing_version = mocker.Mock(version=1, is_active=True)
graph_model = mocker.Mock()
created_graph = mocker.Mock(id="graph-id", version=2, is_active=False)
current_library_agent = mocker.Mock()
updated_library_agent = mocker.Mock()
mocker.patch(
"backend.api.features.library.db.graph_db.get_graph_all_versions",
new=mocker.AsyncMock(return_value=[existing_version]),
)
mocker.patch(
"backend.api.features.library.db.graph_db.make_graph_model",
return_value=graph_model,
)
mocker.patch(
"backend.api.features.library.db.graph_db.create_graph",
new=mocker.AsyncMock(return_value=created_graph),
)
mock_get_library_agent = mocker.patch(
"backend.api.features.library.db.get_library_agent_by_graph_id",
new=mocker.AsyncMock(return_value=current_library_agent),
)
mock_update_library_agent = mocker.patch(
"backend.api.features.library.db.update_library_agent_version_and_settings",
new=mocker.AsyncMock(return_value=updated_library_agent),
)
result_graph, result_library_agent = await db.update_graph_in_library(
graph,
"test-user",
)
assert result_graph is created_graph
assert result_library_agent is updated_library_agent
assert graph.version == 2
graph_model.reassign_ids.assert_called_once_with(
user_id="test-user", reassign_graph_id=False
)
mock_get_library_agent.assert_awaited_once_with(
"test-user",
"graph-id",
include_archived=True,
)
mock_update_library_agent.assert_awaited_once_with("test-user", created_graph)
@pytest.mark.asyncio
async def test_create_library_agent_uses_upsert():
"""create_library_agent should use upsert (not create) to handle duplicates."""
mock_graph = MagicMock()
mock_graph.id = "graph-1"
mock_graph.version = 1
mock_graph.user_id = "user-1"
mock_graph.nodes = []
mock_graph.sub_graphs = []
mock_upserted = MagicMock(name="UpsertedLibraryAgent")
@asynccontextmanager
async def fake_tx():
yield None
with (
patch("backend.api.features.library.db.transaction", fake_tx),
patch("prisma.models.LibraryAgent.prisma") as mock_prisma,
patch(
"backend.api.features.library.db.add_generated_agent_image",
new=AsyncMock(),
),
patch(
"backend.api.features.library.model.LibraryAgent.from_db",
return_value=MagicMock(),
),
):
mock_prisma.return_value.upsert = AsyncMock(return_value=mock_upserted)
result = await db.create_library_agent(mock_graph, "user-1")
assert len(result) == 1
upsert_call = mock_prisma.return_value.upsert.call_args
assert upsert_call is not None
# Verify the upsert where clause uses the composite unique key
where = upsert_call.kwargs["where"]
assert "userId_agentGraphId_agentGraphVersion" in where
# Verify the upsert data has both create and update branches
data = upsert_call.kwargs["data"]
assert "create" in data
assert "update" in data
# 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

@@ -165,6 +165,7 @@ class LibraryAgent(pydantic.BaseModel):
id: str
graph_id: str
graph_version: int
owner_user_id: str
image_url: str | None
@@ -205,23 +206,13 @@ class LibraryAgent(pydantic.BaseModel):
default_factory=list,
description="List of recent executions with status, score, and summary",
)
can_access_graph: bool = pydantic.Field(
description="Indicates whether the same user owns the corresponding graph"
)
can_access_graph: bool
is_latest_version: bool
is_favorite: bool
folder_id: str | None = None
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
@@ -231,8 +222,6 @@ 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
@@ -268,14 +257,10 @@ class LibraryAgent(pydantic.BaseModel):
status = status_result.status
new_output = status_result.new_output
execution_count = (
execution_count_override
if execution_count_override is not None
else len(executions)
)
execution_count = len(executions)
success_rate: float | None = None
avg_correctness_score: float | None = None
if executions and execution_count > 0:
if execution_count > 0:
success_count = sum(
1
for e in executions
@@ -339,6 +324,7 @@ class LibraryAgent(pydantic.BaseModel):
id=agent.id,
graph_id=agent.agentGraphId,
graph_version=agent.agentGraphVersion,
owner_user_id=agent.userId,
image_url=agent.imageUrl,
creator_name=creator_name,
creator_image_url=creator_image_url,
@@ -368,10 +354,6 @@ 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

@@ -1,66 +1,11 @@
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

@@ -42,6 +42,7 @@ async def test_get_library_agents_success(
id="test-agent-1",
graph_id="test-agent-1",
graph_version=1,
owner_user_id=test_user_id,
name="Test Agent 1",
description="Test Description 1",
image_url=None,
@@ -66,6 +67,7 @@ async def test_get_library_agents_success(
id="test-agent-2",
graph_id="test-agent-2",
graph_version=1,
owner_user_id=test_user_id,
name="Test Agent 2",
description="Test Description 2",
image_url=None,
@@ -129,6 +131,7 @@ async def test_get_favorite_library_agents_success(
id="test-agent-1",
graph_id="test-agent-1",
graph_version=1,
owner_user_id=test_user_id,
name="Favorite Agent 1",
description="Test Favorite Description 1",
image_url=None,
@@ -181,6 +184,7 @@ def test_add_agent_to_library_success(
id="test-library-agent-id",
graph_id="test-agent-1",
graph_version=1,
owner_user_id=test_user_id,
name="Test Agent 1",
description="Test Description 1",
image_url=None,

View File

@@ -12,7 +12,6 @@ Tests cover:
5. Complete OAuth flow end-to-end
"""
import asyncio
import base64
import hashlib
import secrets
@@ -59,27 +58,14 @@ async def test_user(server, test_user_id: str):
yield test_user_id
# Cleanup - delete in correct order due to foreign key constraints.
# Wrap in try/except because the event loop or Prisma engine may already
# be closed during session teardown on Python 3.12+.
try:
await asyncio.gather(
PrismaOAuthAccessToken.prisma().delete_many(where={"userId": test_user_id}),
PrismaOAuthRefreshToken.prisma().delete_many(
where={"userId": test_user_id}
),
PrismaOAuthAuthorizationCode.prisma().delete_many(
where={"userId": test_user_id}
),
)
await asyncio.gather(
PrismaOAuthApplication.prisma().delete_many(
where={"ownerId": test_user_id}
),
PrismaUser.prisma().delete(where={"id": test_user_id}),
)
except RuntimeError:
pass
# Cleanup - delete in correct order due to foreign key constraints
await PrismaOAuthAccessToken.prisma().delete_many(where={"userId": test_user_id})
await PrismaOAuthRefreshToken.prisma().delete_many(where={"userId": test_user_id})
await PrismaOAuthAuthorizationCode.prisma().delete_many(
where={"userId": test_user_id}
)
await PrismaOAuthApplication.prisma().delete_many(where={"ownerId": test_user_id})
await PrismaUser.prisma().delete(where={"id": test_user_id})
@pytest_asyncio.fixture

View File

@@ -1,61 +0,0 @@
from unittest.mock import AsyncMock
import fastapi
import fastapi.testclient
import pytest
from backend.api.features.v1 import v1_router
app = fastapi.FastAPI()
app.include_router(v1_router)
client = fastapi.testclient.TestClient(app)
@pytest.fixture(autouse=True)
def setup_app_auth(mock_jwt_user):
from autogpt_libs.auth.jwt_utils import get_jwt_payload
app.dependency_overrides[get_jwt_payload] = mock_jwt_user["get_jwt_payload"]
yield
app.dependency_overrides.clear()
def test_onboarding_profile_success(mocker):
mock_extract = mocker.patch(
"backend.api.features.v1.extract_business_understanding",
new_callable=AsyncMock,
)
mock_upsert = mocker.patch(
"backend.api.features.v1.upsert_business_understanding",
new_callable=AsyncMock,
)
from backend.data.understanding import BusinessUnderstandingInput
mock_extract.return_value = BusinessUnderstandingInput.model_construct(
user_name="John",
user_role="Founder/CEO",
pain_points=["Finding leads"],
suggested_prompts={"Learn": ["How do I automate lead gen?"]},
)
mock_upsert.return_value = AsyncMock()
response = client.post(
"/onboarding/profile",
json={
"user_name": "John",
"user_role": "Founder/CEO",
"pain_points": ["Finding leads", "Email & outreach"],
},
)
assert response.status_code == 200
mock_extract.assert_awaited_once()
mock_upsert.assert_awaited_once()
def test_onboarding_profile_missing_fields():
response = client.post(
"/onboarding/profile",
json={"user_name": "John"},
)
assert response.status_code == 422

View File

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

View File

@@ -1,158 +0,0 @@
"""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

@@ -1,264 +0,0 @@
"""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

@@ -1,20 +0,0 @@
import pydantic
class PushSubscriptionKeys(pydantic.BaseModel):
p256dh: str = pydantic.Field(min_length=1, max_length=512)
auth: str = pydantic.Field(min_length=1, max_length=512)
class PushSubscribeRequest(pydantic.BaseModel):
endpoint: str = pydantic.Field(min_length=1, max_length=2048)
keys: PushSubscriptionKeys
user_agent: str | None = pydantic.Field(default=None, max_length=512)
class PushUnsubscribeRequest(pydantic.BaseModel):
endpoint: str = pydantic.Field(min_length=1, max_length=2048)
class VapidPublicKeyResponse(pydantic.BaseModel):
public_key: str

View File

@@ -1,64 +0,0 @@
from typing import Annotated
from autogpt_libs.auth import get_user_id, requires_user
from fastapi import APIRouter, HTTPException, Security
from starlette.status import HTTP_204_NO_CONTENT, HTTP_400_BAD_REQUEST
from backend.api.features.push.model import (
PushSubscribeRequest,
PushUnsubscribeRequest,
VapidPublicKeyResponse,
)
from backend.data.push_subscription import (
delete_push_subscription,
upsert_push_subscription,
validate_push_endpoint,
)
from backend.util.settings import Settings
router = APIRouter()
_settings = Settings()
@router.get(
"/vapid-key",
summary="Get VAPID public key for push subscription",
)
async def get_vapid_public_key() -> VapidPublicKeyResponse:
return VapidPublicKeyResponse(public_key=_settings.secrets.vapid_public_key)
@router.post(
"/subscribe",
summary="Register a push subscription for the current user",
status_code=HTTP_204_NO_CONTENT,
dependencies=[Security(requires_user)],
)
async def subscribe_push(
user_id: Annotated[str, Security(get_user_id)],
body: PushSubscribeRequest,
) -> None:
try:
await validate_push_endpoint(body.endpoint)
await upsert_push_subscription(
user_id=user_id,
endpoint=body.endpoint,
p256dh=body.keys.p256dh,
auth=body.keys.auth,
user_agent=body.user_agent,
)
except ValueError as e:
raise HTTPException(status_code=HTTP_400_BAD_REQUEST, detail=str(e))
@router.post(
"/unsubscribe",
summary="Remove a push subscription",
status_code=HTTP_204_NO_CONTENT,
dependencies=[Security(requires_user)],
)
async def unsubscribe_push(
user_id: Annotated[str, Security(get_user_id)],
body: PushUnsubscribeRequest,
) -> None:
await delete_push_subscription(user_id, body.endpoint)

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