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Author SHA1 Message Date
dependabot[bot]
6bd7c28841 chore(libs/deps-dev): bump pytest-cov in /autogpt_platform/autogpt_libs
Bumps [pytest-cov](https://github.com/pytest-dev/pytest-cov) from 6.2.1 to 7.0.0.
- [Changelog](https://github.com/pytest-dev/pytest-cov/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/pytest-dev/pytest-cov/compare/v6.2.1...v7.0.0)

---
updated-dependencies:
- dependency-name: pytest-cov
  dependency-version: 7.0.0
  dependency-type: direct:development
  update-type: version-update:semver-major
...

Signed-off-by: dependabot[bot] <support@github.com>
2026-02-09 20:57:35 +00:00
Reinier van der Leer
6467f6734f debug(backend/chat): Add timing logging to chat stream generation mechanism (#12019)
[SECRT-1912: Investigate & eliminate chat session start
latency](https://linear.app/autogpt/issue/SECRT-1912)

### Changes 🏗️

- Add timing logs to `backend.api.features.chat` in `routes.py`,
`service.py`, and `stream_registry.py`
- Remove unneeded DB join in `create_chat_session`

### Checklist 📋

#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
  - CI checks
2026-02-09 14:05:29 +00:00
Otto
5a30d11416 refactor(copilot): Code cleanup and deduplication (#11950)
## Summary

Code cleanup of the AI Copilot codebase - rebased onto latest dev.

## Changes

### New Files
- `backend/util/validation.py` - UUID validation helpers
- `backend/api/features/chat/tools/helpers.py` - Shared tool utilities

### Credential Matching Consolidation  
- Added shared utilities to `utils.py`
- Refactored `run_block._check_block_credentials()` with discriminator
support
- Extracted `_resolve_discriminated_credentials()` for multi-provider
handling

### Routes Cleanup
- Extracted `_create_stream_generator()` and `SSE_RESPONSE_HEADERS`

### Tool Files Cleanup
- Updated `run_agent.py` and `run_block.py` to use shared helpers

**WIP** - This PR will be updated incrementally.
2026-02-09 13:43:55 +00:00
Bently
1f4105e8f9 fix(frontend): Handle object values in FileInput component (#11948)
Fixes
[#11800](https://github.com/Significant-Gravitas/AutoGPT/issues/11800)

## Problem
The FileInput component crashed with `TypeError: e.startsWith is not a
function` when the value was an object (from external API) instead of a
string.

## Example Input Object
When using the external API
(`/external-api/v1/graphs/{id}/execute/{version}`), file inputs can be
passed as objects:

```json
{
  "node_input": {
    "input_image": {
      "name": "image.jpeg",
      "type": "image/jpeg",
      "size": 131147,
      "data": "/9j/4QAW..."
    }
  }
}
```

## Changes
- Updated `getFileLabelFromValue()` to handle object format: `{ name,
type, size, data }`
- Added type guards for string vs object values
- Graceful fallback for edge cases (null, undefined, empty object)

## Test cases verified
- Object with name: returns filename
- Object with type only: extracts and formats MIME type
- String data URI: parses correctly
- String file path: extracts extension
- Edge cases: returns "File" fallback
2026-02-09 10:25:08 +00:00
Bently
caf9ff34e6 fix(backend): Handle stale RabbitMQ channels on connection drop (#11929)
### Changes 🏗️

Fixes
[**AUTOGPT-SERVER-1TN**](https://autoagpt.sentry.io/issues/?query=AUTOGPT-SERVER-1TN)
(~39K events since Feb 2025) and related connection issues
**6JC/6JD/6JE/6JF** (~6K combined).

#### Problem

When the RabbitMQ TCP connection drops (network blip, server restart,
etc.):

1. `connect_robust` (aio_pika) automatically reconnects the underlying
AMQP connection
2. But `AsyncRabbitMQ._channel` still references the **old dead
channel**
3. `is_ready` checks `not self._channel.is_closed` — but the channel
object doesn't know the transport is gone
4. `publish_message` tries to use the stale channel →
`ChannelInvalidStateError: No active transport in channel`
5. `@func_retry` retries 5 times, but each retry hits the same stale
channel (it passes `is_ready`)

This means every connection drop generates errors until the process is
restarted.

#### Fix

**New `_ensure_channel()` helper** that resets stale channels before
reconnecting, so `connect()` creates a fresh one instead of
short-circuiting on `is_connected`.

**Explicit `ChannelInvalidStateError` handling in `publish_message`:**
1. First attempt uses `_ensure_channel()` (handles normal staleness)
2. If publish throws `ChannelInvalidStateError`, does a full reconnect
(resets both `_channel` and `_connection`) and retries once
3. `@func_retry` provides additional retry resilience on top

**Simplified `get_channel()`** to use the same resilient helper.

**1 file changed, 62 insertions, 24 deletions.**

#### Impact
- Eliminates ~39K `ChannelInvalidStateError` Sentry events
- RabbitMQ operations self-heal after connection drops without process
restart
- Related transport EOF errors (6JC/6JD/6JE/6JF) should also reduce
2026-02-09 10:24:08 +00:00
Nicholas Tindle
e8fc8ee623 fix(backend): filter graph-only blocks from CoPilot's find_block results (#11892)
Filters out blocks that are unsuitable for standalone execution from
CoPilot's block search and execution. These blocks serve graph-specific
purposes and will either fail, hang, or confuse users when run outside
of a graph context.

**Important:** This does NOT affect the Builder UI which uses
`load_all_blocks()` directly.

### Changes 🏗️

- **find_block.py**: Added `EXCLUDED_BLOCK_TYPES` and
`EXCLUDED_BLOCK_IDS` constants, skip excluded blocks in search results
- **run_block.py**: Added execution guard that returns clear error
message for excluded blocks
- **content_handlers.py**: Added filtering to
`BlockHandler.get_missing_items()` and `get_stats()` to prevent indexing
excluded blocks

**Excluded by BlockType:**
| BlockType | Reason |
|-----------|--------|
| `INPUT` | Graph interface definition - data enters via chat, not graph
inputs |
| `OUTPUT` | Graph interface definition - data exits via chat, not graph
outputs |
| `WEBHOOK` | Wait for external events - would hang forever in CoPilot |
| `WEBHOOK_MANUAL` | Same as WEBHOOK |
| `NOTE` | Visual annotation only - no runtime behavior |
| `HUMAN_IN_THE_LOOP` | Pauses for human approval - CoPilot IS
human-in-the-loop |
| `AGENT` | AgentExecutorBlock requires graph context - use `run_agent`
tool instead |

**Excluded by ID:**
| Block | Reason |
|-------|--------|
| `SmartDecisionMakerBlock` | Dynamically discovers downstream blocks
via graph topology |

### Checklist 📋

#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
- [ ] Search for "input" in CoPilot - should NOT return AgentInputBlock
variants
- [ ] Search for "output" in CoPilot - should NOT return
AgentOutputBlock
- [ ] Search for "webhook" in CoPilot - should NOT return trigger blocks
- [ ] Search for "human" in CoPilot - should NOT return
HumanInTheLoopBlock
- [ ] Search for "decision" in CoPilot - should NOT return
SmartDecisionMakerBlock
- [ ] Verify functional blocks still appear (e.g., "email", "http",
"text")
  - [ ] Verify Builder UI still shows ALL blocks (no regression)

#### For configuration changes:
- [x] `.env.default` is updated or already compatible with my changes
- [x] `docker-compose.yml` is updated or already compatible with my
changes
- [x] I have included a list of my configuration changes in the PR
description (under **Changes**)

No configuration changes required.

---

Resolves: [SECRT-1831](https://linear.app/autogpt/issue/SECRT-1831)

🤖 Generated with [Claude Code](https://claude.ai/code)

<!-- CURSOR_SUMMARY -->
---

> [!NOTE]
> **Low Risk**
> Behavior change is limited to CoPilot’s block discovery/execution
guards and is covered by new tests; main risk is inadvertently excluding
a block that should be runnable.
> 
> **Overview**
> CoPilot now **filters out graph-only blocks** from `find_block`
results and prevents them from being executed via `run_block`, returning
a clear error when a user attempts to run an excluded block.
> 
> `find_block` introduces explicit exclusion lists (by `BlockType` and a
specific block ID), over-fetches search results to maintain up to 10
usable matches after filtering, and adds debug logging when results are
reduced. New unit tests cover both the search filtering and the
`run_block` execution guard; a minor cleanup removes an unused `pytest`
import in `execution_queue_test.py`.
> 
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
bc50755dcf. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->

---------

Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: Nicholas Tindle <ntindle@users.noreply.github.com>
Co-authored-by: Otto <otto@agpt.co>
2026-02-09 07:19:43 +00:00
dependabot[bot]
1a16e203b8 chore(deps): Bump actions/setup-node from 4 to 6 (#11213)
Bumps [actions/setup-node](https://github.com/actions/setup-node) from 4
to 6.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/actions/setup-node/releases">actions/setup-node's
releases</a>.</em></p>
<blockquote>
<h2>v6.0.0</h2>
<h2>What's Changed</h2>
<p><strong>Breaking Changes</strong></p>
<ul>
<li>Limit automatic caching to npm, update workflows and documentation
by <a
href="https://github.com/priyagupta108"><code>@​priyagupta108</code></a>
in <a
href="https://redirect.github.com/actions/setup-node/pull/1374">actions/setup-node#1374</a></li>
</ul>
<p><strong>Dependency Upgrades</strong></p>
<ul>
<li>Upgrade ts-jest from 29.1.2 to 29.4.1 and document breaking changes
in v5 by <a
href="https://github.com/dependabot"><code>@​dependabot</code></a>[bot]
in <a
href="https://redirect.github.com/actions/setup-node/pull/1336">#1336</a></li>
<li>Upgrade prettier from 2.8.8 to 3.6.2 by <a
href="https://github.com/dependabot"><code>@​dependabot</code></a>[bot]
in <a
href="https://redirect.github.com/actions/setup-node/pull/1334">#1334</a></li>
<li>Upgrade actions/publish-action from 0.3.0 to 0.4.0 by <a
href="https://github.com/dependabot"><code>@​dependabot</code></a>[bot]
in <a
href="https://redirect.github.com/actions/setup-node/pull/1362">#1362</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/actions/setup-node/compare/v5...v6.0.0">https://github.com/actions/setup-node/compare/v5...v6.0.0</a></p>
<h2>v5.0.0</h2>
<h2>What's Changed</h2>
<h3>Breaking Changes</h3>
<ul>
<li>Enhance caching in setup-node with automatic package manager
detection by <a
href="https://github.com/priya-kinthali"><code>@​priya-kinthali</code></a>
in <a
href="https://redirect.github.com/actions/setup-node/pull/1348">actions/setup-node#1348</a></li>
</ul>
<p>This update, introduces automatic caching when a valid
<code>packageManager</code> field is present in your
<code>package.json</code>. This aims to improve workflow performance and
make dependency management more seamless.
To disable this automatic caching, set <code>package-manager-cache:
false</code></p>
<pre lang="yaml"><code>steps:
- uses: actions/checkout@v5
- uses: actions/setup-node@v5
  with:
    package-manager-cache: false
</code></pre>
<ul>
<li>Upgrade action to use node24 by <a
href="https://github.com/salmanmkc"><code>@​salmanmkc</code></a> in <a
href="https://redirect.github.com/actions/setup-node/pull/1325">actions/setup-node#1325</a></li>
</ul>
<p>Make sure your runner is on version v2.327.1 or later to ensure
compatibility with this release. <a
href="https://github.com/actions/runner/releases/tag/v2.327.1">See
Release Notes</a></p>
<h3>Dependency Upgrades</h3>
<ul>
<li>Upgrade <code>@​octokit/request-error</code> and
<code>@​actions/github</code> by <a
href="https://github.com/dependabot"><code>@​dependabot</code></a>[bot]
in <a
href="https://redirect.github.com/actions/setup-node/pull/1227">actions/setup-node#1227</a></li>
<li>Upgrade uuid from 9.0.1 to 11.1.0 by <a
href="https://github.com/dependabot"><code>@​dependabot</code></a>[bot]
in <a
href="https://redirect.github.com/actions/setup-node/pull/1273">actions/setup-node#1273</a></li>
<li>Upgrade undici from 5.28.5 to 5.29.0 by <a
href="https://github.com/dependabot"><code>@​dependabot</code></a>[bot]
in <a
href="https://redirect.github.com/actions/setup-node/pull/1295">actions/setup-node#1295</a></li>
<li>Upgrade form-data to bring in fix for critical vulnerability by <a
href="https://github.com/gowridurgad"><code>@​gowridurgad</code></a> in
<a
href="https://redirect.github.com/actions/setup-node/pull/1332">actions/setup-node#1332</a></li>
<li>Upgrade actions/checkout from 4 to 5 by <a
href="https://github.com/dependabot"><code>@​dependabot</code></a>[bot]
in <a
href="https://redirect.github.com/actions/setup-node/pull/1345">actions/setup-node#1345</a></li>
</ul>
<h2>New Contributors</h2>
<ul>
<li><a
href="https://github.com/priya-kinthali"><code>@​priya-kinthali</code></a>
made their first contribution in <a
href="https://redirect.github.com/actions/setup-node/pull/1348">actions/setup-node#1348</a></li>
<li><a href="https://github.com/salmanmkc"><code>@​salmanmkc</code></a>
made their first contribution in <a
href="https://redirect.github.com/actions/setup-node/pull/1325">actions/setup-node#1325</a></li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/actions/setup-node/compare/v4...v5.0.0">https://github.com/actions/setup-node/compare/v4...v5.0.0</a></p>
<h2>v4.4.0</h2>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="2028fbc5c2"><code>2028fbc</code></a>
Limit automatic caching to npm, update workflows and documentation (<a
href="https://redirect.github.com/actions/setup-node/issues/1374">#1374</a>)</li>
<li><a
href="13427813f7"><code>1342781</code></a>
Bump actions/publish-action from 0.3.0 to 0.4.0 (<a
href="https://redirect.github.com/actions/setup-node/issues/1362">#1362</a>)</li>
<li><a
href="89d709d423"><code>89d709d</code></a>
Bump prettier from 2.8.8 to 3.6.2 (<a
href="https://redirect.github.com/actions/setup-node/issues/1334">#1334</a>)</li>
<li><a
href="cd2651c462"><code>cd2651c</code></a>
Bump ts-jest from 29.1.2 to 29.4.1 (<a
href="https://redirect.github.com/actions/setup-node/issues/1336">#1336</a>)</li>
<li><a
href="a0853c2454"><code>a0853c2</code></a>
Bump actions/checkout from 4 to 5 (<a
href="https://redirect.github.com/actions/setup-node/issues/1345">#1345</a>)</li>
<li><a
href="b7234cc9fe"><code>b7234cc</code></a>
Upgrade action to use node24 (<a
href="https://redirect.github.com/actions/setup-node/issues/1325">#1325</a>)</li>
<li><a
href="d7a11313b5"><code>d7a1131</code></a>
Enhance caching in setup-node with automatic package manager detection
(<a
href="https://redirect.github.com/actions/setup-node/issues/1348">#1348</a>)</li>
<li><a
href="5e2628c959"><code>5e2628c</code></a>
Bumps form-data (<a
href="https://redirect.github.com/actions/setup-node/issues/1332">#1332</a>)</li>
<li><a
href="65beceff8e"><code>65becef</code></a>
Bump undici from 5.28.5 to 5.29.0 (<a
href="https://redirect.github.com/actions/setup-node/issues/1295">#1295</a>)</li>
<li><a
href="7e24a656e1"><code>7e24a65</code></a>
Bump uuid from 9.0.1 to 11.1.0 (<a
href="https://redirect.github.com/actions/setup-node/issues/1273">#1273</a>)</li>
<li>Additional commits viewable in <a
href="https://github.com/actions/setup-node/compare/v4...v6">compare
view</a></li>
</ul>
</details>
<br />


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---------

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
Co-authored-by: Nick Tindle <nick@ntindle.com>
2026-02-09 07:11:21 +00:00
21 changed files with 1414 additions and 343 deletions

View File

@@ -78,7 +78,7 @@ jobs:
# Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
- name: Set up Node.js
uses: actions/setup-node@v4
uses: actions/setup-node@v6
with:
node-version: "22"

View File

@@ -94,7 +94,7 @@ jobs:
# Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
- name: Set up Node.js
uses: actions/setup-node@v4
uses: actions/setup-node@v6
with:
node-version: "22"

View File

@@ -76,7 +76,7 @@ jobs:
# Frontend Node.js/pnpm setup (mirrors platform-frontend-ci.yml)
- name: Set up Node.js
uses: actions/setup-node@v4
uses: actions/setup-node@v6
with:
node-version: "22"

View File

@@ -42,7 +42,7 @@ jobs:
- 'autogpt_platform/frontend/src/components/**'
- name: Set up Node.js
uses: actions/setup-node@v4
uses: actions/setup-node@v6
with:
node-version: "22.18.0"
@@ -74,7 +74,7 @@ jobs:
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
uses: actions/setup-node@v6
with:
node-version: "22.18.0"
@@ -112,7 +112,7 @@ jobs:
fetch-depth: 0
- name: Set up Node.js
uses: actions/setup-node@v4
uses: actions/setup-node@v6
with:
node-version: "22.18.0"
@@ -153,7 +153,7 @@ jobs:
submodules: recursive
- name: Set up Node.js
uses: actions/setup-node@v4
uses: actions/setup-node@v6
with:
node-version: "22.18.0"
@@ -282,7 +282,7 @@ jobs:
submodules: recursive
- name: Set up Node.js
uses: actions/setup-node@v4
uses: actions/setup-node@v6
with:
node-version: "22.18.0"

View File

@@ -32,7 +32,7 @@ jobs:
uses: actions/checkout@v4
- name: Set up Node.js
uses: actions/setup-node@v4
uses: actions/setup-node@v6
with:
node-version: "22.18.0"
@@ -68,7 +68,7 @@ jobs:
submodules: recursive
- name: Set up Node.js
uses: actions/setup-node@v4
uses: actions/setup-node@v6
with:
node-version: "22.18.0"

View File

@@ -326,100 +326,118 @@ files = [
[[package]]
name = "coverage"
version = "7.10.5"
version = "7.13.4"
description = "Code coverage measurement for Python"
optional = false
python-versions = ">=3.9"
python-versions = ">=3.10"
groups = ["dev"]
files = [
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{file = "coverage-7.10.5-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:bc8e4d99ce82f1710cc3c125adc30fd1487d3cf6c2cd4994d78d68a47b16989a"},
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groups = ["dev"]
files = [
{file = "pytest_cov-6.2.1-py3-none-any.whl", hash = "sha256:f5bc4c23f42f1cdd23c70b1dab1bbaef4fc505ba950d53e0081d0730dd7e86d5"},
{file = "pytest_cov-6.2.1.tar.gz", hash = "sha256:25cc6cc0a5358204b8108ecedc51a9b57b34cc6b8c967cc2c01a4e00d8a67da2"},
{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]
coverage = {version = ">=7.5", extras = ["toml"]}
coverage = {version = ">=7.10.6", extras = ["toml"]}
pluggy = ">=1.2"
pytest = ">=6.2.5"
pytest = ">=7"
[package.extras]
testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
testing = ["process-tests", "pytest-xdist", "virtualenv"]
[[package]]
name = "pytest-mock"
@@ -2893,4 +2911,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.10,<4.0"
content-hash = "b7ac335a86aa44c3d7d2802298818b389a6f1286e3e9b7b0edb2ff06377cecaf"
content-hash = "40eae94995dc0a388fa832ed4af9b6137f28d5b5ced3aaea70d5f91d4d9a179d"

View File

@@ -26,7 +26,7 @@ pyright = "^1.1.408"
pytest = "^8.4.1"
pytest-asyncio = "^1.3.0"
pytest-mock = "^3.15.1"
pytest-cov = "^6.2.1"
pytest-cov = "^7.0.0"
ruff = "^0.15.0"
[build-system]

View File

@@ -45,10 +45,7 @@ async def create_chat_session(
successfulAgentRuns=SafeJson({}),
successfulAgentSchedules=SafeJson({}),
)
return await PrismaChatSession.prisma().create(
data=data,
include={"Messages": True},
)
return await PrismaChatSession.prisma().create(data=data)
async def update_chat_session(

View File

@@ -266,12 +266,38 @@ async def stream_chat_post(
"""
import asyncio
import time
stream_start_time = time.perf_counter()
# Base log metadata (task_id added after creation)
log_meta = {"component": "ChatStream", "session_id": session_id}
if user_id:
log_meta["user_id"] = user_id
logger.info(
f"[TIMING] stream_chat_post STARTED, session={session_id}, "
f"user={user_id}, message_len={len(request.message)}",
extra={"json_fields": log_meta},
)
session = await _validate_and_get_session(session_id, user_id)
logger.info(
f"[TIMING] session validated in {(time.perf_counter() - stream_start_time)*1000:.1f}ms",
extra={
"json_fields": {
**log_meta,
"duration_ms": (time.perf_counter() - stream_start_time) * 1000,
}
},
)
# Create a task in the stream registry for reconnection support
task_id = str(uuid_module.uuid4())
operation_id = str(uuid_module.uuid4())
log_meta["task_id"] = task_id
task_create_start = time.perf_counter()
await stream_registry.create_task(
task_id=task_id,
session_id=session_id,
@@ -280,14 +306,46 @@ async def stream_chat_post(
tool_name="chat",
operation_id=operation_id,
)
logger.info(
f"[TIMING] create_task completed in {(time.perf_counter() - task_create_start)*1000:.1f}ms",
extra={
"json_fields": {
**log_meta,
"duration_ms": (time.perf_counter() - task_create_start) * 1000,
}
},
)
# Background task that runs the AI generation independently of SSE connection
async def run_ai_generation():
import time as time_module
gen_start_time = time_module.perf_counter()
logger.info(
f"[TIMING] run_ai_generation STARTED, task={task_id}, session={session_id}, user={user_id}",
extra={"json_fields": log_meta},
)
first_chunk_time, ttfc = None, None
chunk_count = 0
try:
# Emit a start event with task_id for reconnection
start_chunk = StreamStart(messageId=task_id, taskId=task_id)
await stream_registry.publish_chunk(task_id, start_chunk)
logger.info(
f"[TIMING] StreamStart published at {(time_module.perf_counter() - gen_start_time)*1000:.1f}ms",
extra={
"json_fields": {
**log_meta,
"elapsed_ms": (time_module.perf_counter() - gen_start_time)
* 1000,
}
},
)
logger.info(
"[TIMING] Calling stream_chat_completion",
extra={"json_fields": log_meta},
)
async for chunk in chat_service.stream_chat_completion(
session_id,
request.message,
@@ -296,54 +354,202 @@ async def stream_chat_post(
session=session, # Pass pre-fetched session to avoid double-fetch
context=request.context,
):
chunk_count += 1
if first_chunk_time is None:
first_chunk_time = time_module.perf_counter()
ttfc = first_chunk_time - gen_start_time
logger.info(
f"[TIMING] FIRST AI CHUNK at {ttfc:.2f}s, type={type(chunk).__name__}",
extra={
"json_fields": {
**log_meta,
"chunk_type": type(chunk).__name__,
"time_to_first_chunk_ms": ttfc * 1000,
}
},
)
# Write to Redis (subscribers will receive via XREAD)
await stream_registry.publish_chunk(task_id, chunk)
# Mark task as completed
gen_end_time = time_module.perf_counter()
total_time = (gen_end_time - gen_start_time) * 1000
logger.info(
f"[TIMING] run_ai_generation FINISHED in {total_time/1000:.1f}s; "
f"task={task_id}, session={session_id}, "
f"ttfc={ttfc or -1:.2f}s, n_chunks={chunk_count}",
extra={
"json_fields": {
**log_meta,
"total_time_ms": total_time,
"time_to_first_chunk_ms": (
ttfc * 1000 if ttfc is not None else None
),
"n_chunks": chunk_count,
}
},
)
await stream_registry.mark_task_completed(task_id, "completed")
except Exception as e:
elapsed = time_module.perf_counter() - gen_start_time
logger.error(
f"Error in background AI generation for session {session_id}: {e}"
f"[TIMING] run_ai_generation ERROR after {elapsed:.2f}s: {e}",
extra={
"json_fields": {
**log_meta,
"elapsed_ms": elapsed * 1000,
"error": str(e),
}
},
)
await stream_registry.mark_task_completed(task_id, "failed")
# Start the AI generation in a background task
bg_task = asyncio.create_task(run_ai_generation())
await stream_registry.set_task_asyncio_task(task_id, bg_task)
setup_time = (time.perf_counter() - stream_start_time) * 1000
logger.info(
f"[TIMING] Background task started, setup={setup_time:.1f}ms",
extra={"json_fields": {**log_meta, "setup_time_ms": setup_time}},
)
# SSE endpoint that subscribes to the task's stream
async def event_generator() -> AsyncGenerator[str, None]:
import time as time_module
event_gen_start = time_module.perf_counter()
logger.info(
f"[TIMING] event_generator STARTED, task={task_id}, session={session_id}, "
f"user={user_id}",
extra={"json_fields": log_meta},
)
subscriber_queue = None
first_chunk_yielded = False
chunks_yielded = 0
try:
# Subscribe to the task stream (this replays existing messages + live updates)
subscribe_start = time_module.perf_counter()
logger.info(
"[TIMING] Calling subscribe_to_task",
extra={"json_fields": log_meta},
)
subscriber_queue = await stream_registry.subscribe_to_task(
task_id=task_id,
user_id=user_id,
last_message_id="0-0", # Get all messages from the beginning
)
subscribe_time = (time_module.perf_counter() - subscribe_start) * 1000
logger.info(
f"[TIMING] subscribe_to_task completed in {subscribe_time:.1f}ms, "
f"queue_ok={subscriber_queue is not None}",
extra={
"json_fields": {
**log_meta,
"duration_ms": subscribe_time,
"queue_obtained": subscriber_queue is not None,
}
},
)
if subscriber_queue is None:
logger.info(
"[TIMING] subscriber_queue is None, yielding finish",
extra={"json_fields": log_meta},
)
yield StreamFinish().to_sse()
yield "data: [DONE]\n\n"
return
# Read from the subscriber queue and yield to SSE
logger.info(
"[TIMING] Starting to read from subscriber_queue",
extra={"json_fields": log_meta},
)
while True:
try:
queue_wait_start = time_module.perf_counter()
chunk = await asyncio.wait_for(subscriber_queue.get(), timeout=30.0)
queue_wait_time = (
time_module.perf_counter() - queue_wait_start
) * 1000
chunks_yielded += 1
if not first_chunk_yielded:
first_chunk_yielded = True
elapsed = time_module.perf_counter() - event_gen_start
logger.info(
f"[TIMING] FIRST CHUNK from queue at {elapsed:.2f}s, "
f"type={type(chunk).__name__}, "
f"wait={queue_wait_time:.1f}ms",
extra={
"json_fields": {
**log_meta,
"chunk_type": type(chunk).__name__,
"elapsed_ms": elapsed * 1000,
"queue_wait_ms": queue_wait_time,
}
},
)
elif chunks_yielded % 50 == 0:
logger.info(
f"[TIMING] Chunk #{chunks_yielded}, "
f"type={type(chunk).__name__}",
extra={
"json_fields": {
**log_meta,
"chunk_number": chunks_yielded,
"chunk_type": type(chunk).__name__,
}
},
)
yield chunk.to_sse()
# Check for finish signal
if isinstance(chunk, StreamFinish):
total_time = time_module.perf_counter() - event_gen_start
logger.info(
f"[TIMING] StreamFinish received in {total_time:.2f}s; "
f"n_chunks={chunks_yielded}",
extra={
"json_fields": {
**log_meta,
"chunks_yielded": chunks_yielded,
"total_time_ms": total_time * 1000,
}
},
)
break
except asyncio.TimeoutError:
# Send heartbeat to keep connection alive
logger.info(
f"[TIMING] Heartbeat timeout, chunks_so_far={chunks_yielded}",
extra={
"json_fields": {**log_meta, "chunks_so_far": chunks_yielded}
},
)
yield StreamHeartbeat().to_sse()
except GeneratorExit:
logger.info(
f"[TIMING] GeneratorExit (client disconnected), chunks={chunks_yielded}",
extra={
"json_fields": {
**log_meta,
"chunks_yielded": chunks_yielded,
"reason": "client_disconnect",
}
},
)
pass # Client disconnected - background task continues
except Exception as e:
logger.error(f"Error in SSE stream for task {task_id}: {e}")
elapsed = (time_module.perf_counter() - event_gen_start) * 1000
logger.error(
f"[TIMING] event_generator ERROR after {elapsed:.1f}ms: {e}",
extra={
"json_fields": {**log_meta, "elapsed_ms": elapsed, "error": str(e)}
},
)
finally:
# Unsubscribe when client disconnects or stream ends to prevent resource leak
if subscriber_queue is not None:
@@ -357,6 +563,18 @@ async def stream_chat_post(
exc_info=True,
)
# AI SDK protocol termination - always yield even if unsubscribe fails
total_time = time_module.perf_counter() - event_gen_start
logger.info(
f"[TIMING] event_generator FINISHED in {total_time:.2f}s; "
f"task={task_id}, session={session_id}, n_chunks={chunks_yielded}",
extra={
"json_fields": {
**log_meta,
"total_time_ms": total_time * 1000,
"chunks_yielded": chunks_yielded,
}
},
)
yield "data: [DONE]\n\n"
return StreamingResponse(
@@ -425,7 +643,7 @@ async def stream_chat_get(
"Chat stream completed",
extra={
"session_id": session_id,
"chunk_count": chunk_count,
"n_chunks": chunk_count,
"first_chunk_type": first_chunk_type,
},
)

View File

@@ -371,21 +371,45 @@ async def stream_chat_completion(
ValueError: If max_context_messages is exceeded
"""
completion_start = time.monotonic()
# Build log metadata for structured logging
log_meta = {"component": "ChatService", "session_id": session_id}
if user_id:
log_meta["user_id"] = user_id
logger.info(
f"Streaming chat completion for session {session_id} for message {message} and user id {user_id}. Message is user message: {is_user_message}"
f"[TIMING] stream_chat_completion STARTED, session={session_id}, user={user_id}, "
f"message_len={len(message) if message else 0}, is_user={is_user_message}",
extra={
"json_fields": {
**log_meta,
"message_len": len(message) if message else 0,
"is_user_message": is_user_message,
}
},
)
# Only fetch from Redis if session not provided (initial call)
if session is None:
fetch_start = time.monotonic()
session = await get_chat_session(session_id, user_id)
fetch_time = (time.monotonic() - fetch_start) * 1000
logger.info(
f"Fetched session from Redis: {session.session_id if session else 'None'}, "
f"message_count={len(session.messages) if session else 0}"
f"[TIMING] get_chat_session took {fetch_time:.1f}ms, "
f"n_messages={len(session.messages) if session else 0}",
extra={
"json_fields": {
**log_meta,
"duration_ms": fetch_time,
"n_messages": len(session.messages) if session else 0,
}
},
)
else:
logger.info(
f"Using provided session object: {session.session_id}, "
f"message_count={len(session.messages)}"
f"[TIMING] Using provided session, messages={len(session.messages)}",
extra={"json_fields": {**log_meta, "n_messages": len(session.messages)}},
)
if not session:
@@ -406,17 +430,25 @@ async def stream_chat_completion(
# Track user message in PostHog
if is_user_message:
posthog_start = time.monotonic()
track_user_message(
user_id=user_id,
session_id=session_id,
message_length=len(message),
)
posthog_time = (time.monotonic() - posthog_start) * 1000
logger.info(
f"[TIMING] track_user_message took {posthog_time:.1f}ms",
extra={"json_fields": {**log_meta, "duration_ms": posthog_time}},
)
logger.info(
f"Upserting session: {session.session_id} with user id {session.user_id}, "
f"message_count={len(session.messages)}"
)
upsert_start = time.monotonic()
session = await upsert_chat_session(session)
upsert_time = (time.monotonic() - upsert_start) * 1000
logger.info(
f"[TIMING] upsert_chat_session took {upsert_time:.1f}ms",
extra={"json_fields": {**log_meta, "duration_ms": upsert_time}},
)
assert session, "Session not found"
# Generate title for new sessions on first user message (non-blocking)
@@ -454,7 +486,13 @@ async def stream_chat_completion(
asyncio.create_task(_update_title())
# Build system prompt with business understanding
prompt_start = time.monotonic()
system_prompt, understanding = await _build_system_prompt(user_id)
prompt_time = (time.monotonic() - prompt_start) * 1000
logger.info(
f"[TIMING] _build_system_prompt took {prompt_time:.1f}ms",
extra={"json_fields": {**log_meta, "duration_ms": prompt_time}},
)
# Initialize variables for streaming
assistant_response = ChatMessage(
@@ -483,9 +521,18 @@ async def stream_chat_completion(
text_block_id = str(uuid_module.uuid4())
# Yield message start
setup_time = (time.monotonic() - completion_start) * 1000
logger.info(
f"[TIMING] Setup complete, yielding StreamStart at {setup_time:.1f}ms",
extra={"json_fields": {**log_meta, "setup_time_ms": setup_time}},
)
yield StreamStart(messageId=message_id)
try:
logger.info(
"[TIMING] Calling _stream_chat_chunks",
extra={"json_fields": log_meta},
)
async for chunk in _stream_chat_chunks(
session=session,
tools=tools,
@@ -893,9 +940,21 @@ async def _stream_chat_chunks(
SSE formatted JSON response objects
"""
import time as time_module
stream_chunks_start = time_module.perf_counter()
model = config.model
logger.info("Starting pure chat stream")
# Build log metadata for structured logging
log_meta = {"component": "ChatService", "session_id": session.session_id}
if session.user_id:
log_meta["user_id"] = session.user_id
logger.info(
f"[TIMING] _stream_chat_chunks STARTED, session={session.session_id}, "
f"user={session.user_id}, n_messages={len(session.messages)}",
extra={"json_fields": {**log_meta, "n_messages": len(session.messages)}},
)
messages = session.to_openai_messages()
if system_prompt:
@@ -906,12 +965,18 @@ async def _stream_chat_chunks(
messages = [system_message] + messages
# Apply context window management
context_start = time_module.perf_counter()
context_result = await _manage_context_window(
messages=messages,
model=model,
api_key=config.api_key,
base_url=config.base_url,
)
context_time = (time_module.perf_counter() - context_start) * 1000
logger.info(
f"[TIMING] _manage_context_window took {context_time:.1f}ms",
extra={"json_fields": {**log_meta, "duration_ms": context_time}},
)
if context_result.error:
if "System prompt dropped" in context_result.error:
@@ -946,9 +1011,19 @@ async def _stream_chat_chunks(
while retry_count <= MAX_RETRIES:
try:
elapsed = (time_module.perf_counter() - stream_chunks_start) * 1000
retry_info = (
f" (retry {retry_count}/{MAX_RETRIES})" if retry_count > 0 else ""
)
logger.info(
f"Creating OpenAI chat completion stream..."
f"{f' (retry {retry_count}/{MAX_RETRIES})' if retry_count > 0 else ''}"
f"[TIMING] Creating OpenAI stream at {elapsed:.1f}ms{retry_info}",
extra={
"json_fields": {
**log_meta,
"elapsed_ms": elapsed,
"retry_count": retry_count,
}
},
)
# Build extra_body for OpenRouter tracing and PostHog analytics
@@ -965,6 +1040,7 @@ async def _stream_chat_chunks(
:128
] # OpenRouter limit
api_call_start = time_module.perf_counter()
stream = await client.chat.completions.create(
model=model,
messages=cast(list[ChatCompletionMessageParam], messages),
@@ -974,6 +1050,11 @@ async def _stream_chat_chunks(
stream_options=ChatCompletionStreamOptionsParam(include_usage=True),
extra_body=extra_body,
)
api_init_time = (time_module.perf_counter() - api_call_start) * 1000
logger.info(
f"[TIMING] OpenAI stream object returned in {api_init_time:.1f}ms",
extra={"json_fields": {**log_meta, "duration_ms": api_init_time}},
)
# Variables to accumulate tool calls
tool_calls: list[dict[str, Any]] = []
@@ -984,10 +1065,13 @@ async def _stream_chat_chunks(
# Track if we've started the text block
text_started = False
first_content_chunk = True
chunk_count = 0
# Process the stream
chunk: ChatCompletionChunk
async for chunk in stream:
chunk_count += 1
if chunk.usage:
yield StreamUsage(
promptTokens=chunk.usage.prompt_tokens,
@@ -1010,6 +1094,23 @@ async def _stream_chat_chunks(
if not text_started and text_block_id:
yield StreamTextStart(id=text_block_id)
text_started = True
# Log timing for first content chunk
if first_content_chunk:
first_content_chunk = False
ttfc = (
time_module.perf_counter() - api_call_start
) * 1000
logger.info(
f"[TIMING] FIRST CONTENT CHUNK at {ttfc:.1f}ms "
f"(since API call), n_chunks={chunk_count}",
extra={
"json_fields": {
**log_meta,
"time_to_first_chunk_ms": ttfc,
"n_chunks": chunk_count,
}
},
)
# Stream the text delta
text_response = StreamTextDelta(
id=text_block_id or "",
@@ -1066,7 +1167,21 @@ async def _stream_chat_chunks(
toolName=tool_calls[idx]["function"]["name"],
)
emitted_start_for_idx.add(idx)
logger.info(f"Stream complete. Finish reason: {finish_reason}")
stream_duration = time_module.perf_counter() - api_call_start
logger.info(
f"[TIMING] OpenAI stream COMPLETE, finish_reason={finish_reason}, "
f"duration={stream_duration:.2f}s, "
f"n_chunks={chunk_count}, n_tool_calls={len(tool_calls)}",
extra={
"json_fields": {
**log_meta,
"stream_duration_ms": stream_duration * 1000,
"finish_reason": finish_reason,
"n_chunks": chunk_count,
"n_tool_calls": len(tool_calls),
}
},
)
# Yield all accumulated tool calls after the stream is complete
# This ensures all tool call arguments have been fully received
@@ -1086,6 +1201,12 @@ async def _stream_chat_chunks(
# Re-raise to trigger retry logic in the parent function
raise
total_time = (time_module.perf_counter() - stream_chunks_start) * 1000
logger.info(
f"[TIMING] _stream_chat_chunks COMPLETED in {total_time/1000:.1f}s; "
f"session={session.session_id}, user={session.user_id}",
extra={"json_fields": {**log_meta, "total_time_ms": total_time}},
)
yield StreamFinish()
return
except Exception as e:

View File

@@ -104,6 +104,24 @@ async def create_task(
Returns:
The created ActiveTask instance (metadata only)
"""
import time
start_time = time.perf_counter()
# Build log metadata for structured logging
log_meta = {
"component": "StreamRegistry",
"task_id": task_id,
"session_id": session_id,
}
if user_id:
log_meta["user_id"] = user_id
logger.info(
f"[TIMING] create_task STARTED, task={task_id}, session={session_id}, user={user_id}",
extra={"json_fields": log_meta},
)
task = ActiveTask(
task_id=task_id,
session_id=session_id,
@@ -114,10 +132,18 @@ async def create_task(
)
# Store metadata in Redis
redis_start = time.perf_counter()
redis = await get_redis_async()
redis_time = (time.perf_counter() - redis_start) * 1000
logger.info(
f"[TIMING] get_redis_async took {redis_time:.1f}ms",
extra={"json_fields": {**log_meta, "duration_ms": redis_time}},
)
meta_key = _get_task_meta_key(task_id)
op_key = _get_operation_mapping_key(operation_id)
hset_start = time.perf_counter()
await redis.hset( # type: ignore[misc]
meta_key,
mapping={
@@ -131,12 +157,22 @@ async def create_task(
"created_at": task.created_at.isoformat(),
},
)
hset_time = (time.perf_counter() - hset_start) * 1000
logger.info(
f"[TIMING] redis.hset took {hset_time:.1f}ms",
extra={"json_fields": {**log_meta, "duration_ms": hset_time}},
)
await redis.expire(meta_key, config.stream_ttl)
# Create operation_id -> task_id mapping for webhook lookups
await redis.set(op_key, task_id, ex=config.stream_ttl)
logger.debug(f"Created task {task_id} for session {session_id}")
total_time = (time.perf_counter() - start_time) * 1000
logger.info(
f"[TIMING] create_task COMPLETED in {total_time:.1f}ms; task={task_id}, session={session_id}",
extra={"json_fields": {**log_meta, "total_time_ms": total_time}},
)
return task
@@ -156,26 +192,60 @@ async def publish_chunk(
Returns:
The Redis Stream message ID
"""
import time
start_time = time.perf_counter()
chunk_type = type(chunk).__name__
chunk_json = chunk.model_dump_json()
message_id = "0-0"
# Build log metadata
log_meta = {
"component": "StreamRegistry",
"task_id": task_id,
"chunk_type": chunk_type,
}
try:
redis = await get_redis_async()
stream_key = _get_task_stream_key(task_id)
# Write to Redis Stream for persistence and real-time delivery
xadd_start = time.perf_counter()
raw_id = await redis.xadd(
stream_key,
{"data": chunk_json},
maxlen=config.stream_max_length,
)
xadd_time = (time.perf_counter() - xadd_start) * 1000
message_id = raw_id if isinstance(raw_id, str) else raw_id.decode()
# Set TTL on stream to match task metadata TTL
await redis.expire(stream_key, config.stream_ttl)
total_time = (time.perf_counter() - start_time) * 1000
# Only log timing for significant chunks or slow operations
if (
chunk_type
in ("StreamStart", "StreamFinish", "StreamTextStart", "StreamTextEnd")
or total_time > 50
):
logger.info(
f"[TIMING] publish_chunk {chunk_type} in {total_time:.1f}ms (xadd={xadd_time:.1f}ms)",
extra={
"json_fields": {
**log_meta,
"total_time_ms": total_time,
"xadd_time_ms": xadd_time,
"message_id": message_id,
}
},
)
except Exception as e:
elapsed = (time.perf_counter() - start_time) * 1000
logger.error(
f"Failed to publish chunk for task {task_id}: {e}",
f"[TIMING] Failed to publish chunk {chunk_type} after {elapsed:.1f}ms: {e}",
extra={"json_fields": {**log_meta, "elapsed_ms": elapsed, "error": str(e)}},
exc_info=True,
)
@@ -200,24 +270,61 @@ async def subscribe_to_task(
An asyncio Queue that will receive stream chunks, or None if task not found
or user doesn't have access
"""
import time
start_time = time.perf_counter()
# Build log metadata
log_meta = {"component": "StreamRegistry", "task_id": task_id}
if user_id:
log_meta["user_id"] = user_id
logger.info(
f"[TIMING] subscribe_to_task STARTED, task={task_id}, user={user_id}, last_msg={last_message_id}",
extra={"json_fields": {**log_meta, "last_message_id": last_message_id}},
)
redis_start = time.perf_counter()
redis = await get_redis_async()
meta_key = _get_task_meta_key(task_id)
meta: dict[Any, Any] = await redis.hgetall(meta_key) # type: ignore[misc]
hgetall_time = (time.perf_counter() - redis_start) * 1000
logger.info(
f"[TIMING] Redis hgetall took {hgetall_time:.1f}ms",
extra={"json_fields": {**log_meta, "duration_ms": hgetall_time}},
)
if not meta:
logger.debug(f"Task {task_id} not found in Redis")
elapsed = (time.perf_counter() - start_time) * 1000
logger.info(
f"[TIMING] Task not found in Redis after {elapsed:.1f}ms",
extra={
"json_fields": {
**log_meta,
"elapsed_ms": elapsed,
"reason": "task_not_found",
}
},
)
return None
# Note: Redis client uses decode_responses=True, so keys are strings
task_status = meta.get("status", "")
task_user_id = meta.get("user_id", "") or None
log_meta["session_id"] = meta.get("session_id", "")
# Validate ownership - if task has an owner, requester must match
if task_user_id:
if user_id != task_user_id:
logger.warning(
f"User {user_id} denied access to task {task_id} "
f"owned by {task_user_id}"
f"[TIMING] Access denied: user {user_id} tried to access task owned by {task_user_id}",
extra={
"json_fields": {
**log_meta,
"task_owner": task_user_id,
"reason": "access_denied",
}
},
)
return None
@@ -225,7 +332,19 @@ async def subscribe_to_task(
stream_key = _get_task_stream_key(task_id)
# Step 1: Replay messages from Redis Stream
xread_start = time.perf_counter()
messages = await redis.xread({stream_key: last_message_id}, block=0, count=1000)
xread_time = (time.perf_counter() - xread_start) * 1000
logger.info(
f"[TIMING] Redis xread (replay) took {xread_time:.1f}ms, status={task_status}",
extra={
"json_fields": {
**log_meta,
"duration_ms": xread_time,
"task_status": task_status,
}
},
)
replayed_count = 0
replay_last_id = last_message_id
@@ -244,19 +363,48 @@ async def subscribe_to_task(
except Exception as e:
logger.warning(f"Failed to replay message: {e}")
logger.debug(f"Task {task_id}: replayed {replayed_count} messages")
logger.info(
f"[TIMING] Replayed {replayed_count} messages, last_id={replay_last_id}",
extra={
"json_fields": {
**log_meta,
"n_messages_replayed": replayed_count,
"replay_last_id": replay_last_id,
}
},
)
# Step 2: If task is still running, start stream listener for live updates
if task_status == "running":
logger.info(
"[TIMING] Task still running, starting _stream_listener",
extra={"json_fields": {**log_meta, "task_status": task_status}},
)
listener_task = asyncio.create_task(
_stream_listener(task_id, subscriber_queue, replay_last_id)
_stream_listener(task_id, subscriber_queue, replay_last_id, log_meta)
)
# Track listener task for cleanup on unsubscribe
_listener_tasks[id(subscriber_queue)] = (task_id, listener_task)
else:
# Task is completed/failed - add finish marker
logger.info(
f"[TIMING] Task already {task_status}, adding StreamFinish",
extra={"json_fields": {**log_meta, "task_status": task_status}},
)
await subscriber_queue.put(StreamFinish())
total_time = (time.perf_counter() - start_time) * 1000
logger.info(
f"[TIMING] subscribe_to_task COMPLETED in {total_time:.1f}ms; task={task_id}, "
f"n_messages_replayed={replayed_count}",
extra={
"json_fields": {
**log_meta,
"total_time_ms": total_time,
"n_messages_replayed": replayed_count,
}
},
)
return subscriber_queue
@@ -264,6 +412,7 @@ async def _stream_listener(
task_id: str,
subscriber_queue: asyncio.Queue[StreamBaseResponse],
last_replayed_id: str,
log_meta: dict | None = None,
) -> None:
"""Listen to Redis Stream for new messages using blocking XREAD.
@@ -274,10 +423,27 @@ async def _stream_listener(
task_id: Task ID to listen for
subscriber_queue: Queue to deliver messages to
last_replayed_id: Last message ID from replay (continue from here)
log_meta: Structured logging metadata
"""
import time
start_time = time.perf_counter()
# Use provided log_meta or build minimal one
if log_meta is None:
log_meta = {"component": "StreamRegistry", "task_id": task_id}
logger.info(
f"[TIMING] _stream_listener STARTED, task={task_id}, last_id={last_replayed_id}",
extra={"json_fields": {**log_meta, "last_replayed_id": last_replayed_id}},
)
queue_id = id(subscriber_queue)
# Track the last successfully delivered message ID for recovery hints
last_delivered_id = last_replayed_id
messages_delivered = 0
first_message_time = None
xread_count = 0
try:
redis = await get_redis_async()
@@ -287,9 +453,39 @@ async def _stream_listener(
while True:
# Block for up to 30 seconds waiting for new messages
# This allows periodic checking if task is still running
xread_start = time.perf_counter()
xread_count += 1
messages = await redis.xread(
{stream_key: current_id}, block=30000, count=100
)
xread_time = (time.perf_counter() - xread_start) * 1000
if messages:
msg_count = sum(len(msgs) for _, msgs in messages)
logger.info(
f"[TIMING] xread #{xread_count} returned {msg_count} messages in {xread_time:.1f}ms",
extra={
"json_fields": {
**log_meta,
"xread_count": xread_count,
"n_messages": msg_count,
"duration_ms": xread_time,
}
},
)
elif xread_time > 1000:
# Only log timeouts (30s blocking)
logger.info(
f"[TIMING] xread #{xread_count} timeout after {xread_time:.1f}ms",
extra={
"json_fields": {
**log_meta,
"xread_count": xread_count,
"duration_ms": xread_time,
"reason": "timeout",
}
},
)
if not messages:
# Timeout - check if task is still running
@@ -326,10 +522,30 @@ async def _stream_listener(
)
# Update last delivered ID on successful delivery
last_delivered_id = current_id
messages_delivered += 1
if first_message_time is None:
first_message_time = time.perf_counter()
elapsed = (first_message_time - start_time) * 1000
logger.info(
f"[TIMING] FIRST live message at {elapsed:.1f}ms, type={type(chunk).__name__}",
extra={
"json_fields": {
**log_meta,
"elapsed_ms": elapsed,
"chunk_type": type(chunk).__name__,
}
},
)
except asyncio.TimeoutError:
logger.warning(
f"Subscriber queue full for task {task_id}, "
f"message delivery timed out after {QUEUE_PUT_TIMEOUT}s"
f"[TIMING] Subscriber queue full, delivery timed out after {QUEUE_PUT_TIMEOUT}s",
extra={
"json_fields": {
**log_meta,
"timeout_s": QUEUE_PUT_TIMEOUT,
"reason": "queue_full",
}
},
)
# Send overflow error with recovery info
try:
@@ -351,15 +567,44 @@ async def _stream_listener(
# Stop listening on finish
if isinstance(chunk, StreamFinish):
total_time = (time.perf_counter() - start_time) * 1000
logger.info(
f"[TIMING] StreamFinish received in {total_time/1000:.1f}s; delivered={messages_delivered}",
extra={
"json_fields": {
**log_meta,
"total_time_ms": total_time,
"messages_delivered": messages_delivered,
}
},
)
return
except Exception as e:
logger.warning(f"Error processing stream message: {e}")
logger.warning(
f"Error processing stream message: {e}",
extra={"json_fields": {**log_meta, "error": str(e)}},
)
except asyncio.CancelledError:
logger.debug(f"Stream listener cancelled for task {task_id}")
elapsed = (time.perf_counter() - start_time) * 1000
logger.info(
f"[TIMING] _stream_listener CANCELLED after {elapsed:.1f}ms, delivered={messages_delivered}",
extra={
"json_fields": {
**log_meta,
"elapsed_ms": elapsed,
"messages_delivered": messages_delivered,
"reason": "cancelled",
}
},
)
raise # Re-raise to propagate cancellation
except Exception as e:
logger.error(f"Stream listener error for task {task_id}: {e}")
elapsed = (time.perf_counter() - start_time) * 1000
logger.error(
f"[TIMING] _stream_listener ERROR after {elapsed:.1f}ms: {e}",
extra={"json_fields": {**log_meta, "elapsed_ms": elapsed, "error": str(e)}},
)
# On error, send finish to unblock subscriber
try:
await asyncio.wait_for(
@@ -368,10 +613,24 @@ async def _stream_listener(
)
except (asyncio.TimeoutError, asyncio.QueueFull):
logger.warning(
f"Could not deliver finish event for task {task_id} after error"
"Could not deliver finish event after error",
extra={"json_fields": log_meta},
)
finally:
# Clean up listener task mapping on exit
total_time = (time.perf_counter() - start_time) * 1000
logger.info(
f"[TIMING] _stream_listener FINISHED in {total_time/1000:.1f}s; task={task_id}, "
f"delivered={messages_delivered}, xread_count={xread_count}",
extra={
"json_fields": {
**log_meta,
"total_time_ms": total_time,
"messages_delivered": messages_delivered,
"xread_count": xread_count,
}
},
)
_listener_tasks.pop(queue_id, None)

View File

@@ -13,10 +13,32 @@ from backend.api.features.chat.tools.models import (
NoResultsResponse,
)
from backend.api.features.store.hybrid_search import unified_hybrid_search
from backend.data.block import get_block
from backend.data.block import BlockType, get_block
logger = logging.getLogger(__name__)
_TARGET_RESULTS = 10
# Over-fetch to compensate for post-hoc filtering of graph-only blocks.
# 40 is 2x current removed; speed of query 10 vs 40 is minimial
_OVERFETCH_PAGE_SIZE = 40
# Block types that only work within graphs and cannot run standalone in CoPilot.
COPILOT_EXCLUDED_BLOCK_TYPES = {
BlockType.INPUT, # Graph interface definition - data enters via chat, not graph inputs
BlockType.OUTPUT, # Graph interface definition - data exits via chat, not graph outputs
BlockType.WEBHOOK, # Wait for external events - would hang forever in CoPilot
BlockType.WEBHOOK_MANUAL, # Same as WEBHOOK
BlockType.NOTE, # Visual annotation only - no runtime behavior
BlockType.HUMAN_IN_THE_LOOP, # Pauses for human approval - CoPilot IS human-in-the-loop
BlockType.AGENT, # AgentExecutorBlock requires execution_context - use run_agent tool
}
# Specific block IDs excluded from CoPilot (STANDARD type but still require graph context)
COPILOT_EXCLUDED_BLOCK_IDS = {
# SmartDecisionMakerBlock - dynamically discovers downstream blocks via graph topology
"3b191d9f-356f-482d-8238-ba04b6d18381",
}
class FindBlockTool(BaseTool):
"""Tool for searching available blocks."""
@@ -88,7 +110,7 @@ class FindBlockTool(BaseTool):
query=query,
content_types=[ContentType.BLOCK],
page=1,
page_size=10,
page_size=_OVERFETCH_PAGE_SIZE,
)
if not results:
@@ -108,60 +130,90 @@ class FindBlockTool(BaseTool):
block = get_block(block_id)
# Skip disabled blocks
if block and not block.disabled:
# Get input/output schemas
input_schema = {}
output_schema = {}
try:
input_schema = block.input_schema.jsonschema()
except Exception:
pass
try:
output_schema = block.output_schema.jsonschema()
except Exception:
pass
if not block or block.disabled:
continue
# Get categories from block instance
categories = []
if hasattr(block, "categories") and block.categories:
categories = [cat.value for cat in block.categories]
# Skip blocks excluded from CoPilot (graph-only blocks)
if (
block.block_type in COPILOT_EXCLUDED_BLOCK_TYPES
or block.id in COPILOT_EXCLUDED_BLOCK_IDS
):
continue
# Extract required inputs for easier use
required_inputs: list[BlockInputFieldInfo] = []
if input_schema:
properties = input_schema.get("properties", {})
required_fields = set(input_schema.get("required", []))
# Get credential field names to exclude from required inputs
credentials_fields = set(
block.input_schema.get_credentials_fields().keys()
)
for field_name, field_schema in properties.items():
# Skip credential fields - they're handled separately
if field_name in credentials_fields:
continue
required_inputs.append(
BlockInputFieldInfo(
name=field_name,
type=field_schema.get("type", "string"),
description=field_schema.get("description", ""),
required=field_name in required_fields,
default=field_schema.get("default"),
)
)
blocks.append(
BlockInfoSummary(
id=block_id,
name=block.name,
description=block.description or "",
categories=categories,
input_schema=input_schema,
output_schema=output_schema,
required_inputs=required_inputs,
)
# Get input/output schemas
input_schema = {}
output_schema = {}
try:
input_schema = block.input_schema.jsonschema()
except Exception as e:
logger.debug(
"Failed to generate input schema for block %s: %s",
block_id,
e,
)
try:
output_schema = block.output_schema.jsonschema()
except Exception as e:
logger.debug(
"Failed to generate output schema for block %s: %s",
block_id,
e,
)
# Get categories from block instance
categories = []
if hasattr(block, "categories") and block.categories:
categories = [cat.value for cat in block.categories]
# Extract required inputs for easier use
required_inputs: list[BlockInputFieldInfo] = []
if input_schema:
properties = input_schema.get("properties", {})
required_fields = set(input_schema.get("required", []))
# Get credential field names to exclude from required inputs
credentials_fields = set(
block.input_schema.get_credentials_fields().keys()
)
for field_name, field_schema in properties.items():
# Skip credential fields - they're handled separately
if field_name in credentials_fields:
continue
required_inputs.append(
BlockInputFieldInfo(
name=field_name,
type=field_schema.get("type", "string"),
description=field_schema.get("description", ""),
required=field_name in required_fields,
default=field_schema.get("default"),
)
)
blocks.append(
BlockInfoSummary(
id=block_id,
name=block.name,
description=block.description or "",
categories=categories,
input_schema=input_schema,
output_schema=output_schema,
required_inputs=required_inputs,
)
)
if len(blocks) >= _TARGET_RESULTS:
break
if blocks and len(blocks) < _TARGET_RESULTS:
logger.debug(
"find_block returned %d/%d results for query '%s' "
"(filtered %d excluded/disabled blocks)",
len(blocks),
_TARGET_RESULTS,
query,
len(results) - len(blocks),
)
if not blocks:
return NoResultsResponse(

View File

@@ -0,0 +1,139 @@
"""Tests for block filtering in FindBlockTool."""
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from backend.api.features.chat.tools.find_block import (
COPILOT_EXCLUDED_BLOCK_IDS,
COPILOT_EXCLUDED_BLOCK_TYPES,
FindBlockTool,
)
from backend.api.features.chat.tools.models import BlockListResponse
from backend.data.block import BlockType
from ._test_data import make_session
_TEST_USER_ID = "test-user-find-block"
def make_mock_block(
block_id: str, name: str, block_type: BlockType, disabled: bool = False
):
"""Create a mock block for testing."""
mock = MagicMock()
mock.id = block_id
mock.name = name
mock.description = f"{name} description"
mock.block_type = block_type
mock.disabled = disabled
mock.input_schema = MagicMock()
mock.input_schema.jsonschema.return_value = {"properties": {}, "required": []}
mock.input_schema.get_credentials_fields.return_value = {}
mock.output_schema = MagicMock()
mock.output_schema.jsonschema.return_value = {}
mock.categories = []
return mock
class TestFindBlockFiltering:
"""Tests for block filtering in FindBlockTool."""
def test_excluded_block_types_contains_expected_types(self):
"""Verify COPILOT_EXCLUDED_BLOCK_TYPES contains all graph-only types."""
assert BlockType.INPUT in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.OUTPUT in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.WEBHOOK in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.WEBHOOK_MANUAL in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.NOTE in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.HUMAN_IN_THE_LOOP in COPILOT_EXCLUDED_BLOCK_TYPES
assert BlockType.AGENT in COPILOT_EXCLUDED_BLOCK_TYPES
def test_excluded_block_ids_contains_smart_decision_maker(self):
"""Verify SmartDecisionMakerBlock is in COPILOT_EXCLUDED_BLOCK_IDS."""
assert "3b191d9f-356f-482d-8238-ba04b6d18381" in COPILOT_EXCLUDED_BLOCK_IDS
@pytest.mark.asyncio(loop_scope="session")
async def test_excluded_block_type_filtered_from_results(self):
"""Verify blocks with excluded BlockTypes are filtered from search results."""
session = make_session(user_id=_TEST_USER_ID)
# Mock search returns an INPUT block (excluded) and a STANDARD block (included)
search_results = [
{"content_id": "input-block-id", "score": 0.9},
{"content_id": "standard-block-id", "score": 0.8},
]
input_block = make_mock_block("input-block-id", "Input Block", BlockType.INPUT)
standard_block = make_mock_block(
"standard-block-id", "HTTP Request", BlockType.STANDARD
)
def mock_get_block(block_id):
return {
"input-block-id": input_block,
"standard-block-id": standard_block,
}.get(block_id)
with patch(
"backend.api.features.chat.tools.find_block.unified_hybrid_search",
new_callable=AsyncMock,
return_value=(search_results, 2),
):
with patch(
"backend.api.features.chat.tools.find_block.get_block",
side_effect=mock_get_block,
):
tool = FindBlockTool()
response = await tool._execute(
user_id=_TEST_USER_ID, session=session, query="test"
)
# Should only return the standard block, not the INPUT block
assert isinstance(response, BlockListResponse)
assert len(response.blocks) == 1
assert response.blocks[0].id == "standard-block-id"
@pytest.mark.asyncio(loop_scope="session")
async def test_excluded_block_id_filtered_from_results(self):
"""Verify SmartDecisionMakerBlock is filtered from search results."""
session = make_session(user_id=_TEST_USER_ID)
smart_decision_id = "3b191d9f-356f-482d-8238-ba04b6d18381"
search_results = [
{"content_id": smart_decision_id, "score": 0.9},
{"content_id": "normal-block-id", "score": 0.8},
]
# SmartDecisionMakerBlock has STANDARD type but is excluded by ID
smart_block = make_mock_block(
smart_decision_id, "Smart Decision Maker", BlockType.STANDARD
)
normal_block = make_mock_block(
"normal-block-id", "Normal Block", BlockType.STANDARD
)
def mock_get_block(block_id):
return {
smart_decision_id: smart_block,
"normal-block-id": normal_block,
}.get(block_id)
with patch(
"backend.api.features.chat.tools.find_block.unified_hybrid_search",
new_callable=AsyncMock,
return_value=(search_results, 2),
):
with patch(
"backend.api.features.chat.tools.find_block.get_block",
side_effect=mock_get_block,
):
tool = FindBlockTool()
response = await tool._execute(
user_id=_TEST_USER_ID, session=session, query="decision"
)
# Should only return normal block, not SmartDecisionMakerBlock
assert isinstance(response, BlockListResponse)
assert len(response.blocks) == 1
assert response.blocks[0].id == "normal-block-id"

View File

@@ -0,0 +1,29 @@
"""Shared helpers for chat tools."""
from typing import Any
def get_inputs_from_schema(
input_schema: dict[str, Any],
exclude_fields: set[str] | None = None,
) -> list[dict[str, Any]]:
"""Extract input field info from JSON schema."""
if not isinstance(input_schema, dict):
return []
exclude = exclude_fields or set()
properties = input_schema.get("properties", {})
required = set(input_schema.get("required", []))
return [
{
"name": name,
"title": schema.get("title", name),
"type": schema.get("type", "string"),
"description": schema.get("description", ""),
"required": name in required,
"default": schema.get("default"),
}
for name, schema in properties.items()
if name not in exclude
]

View File

@@ -24,6 +24,7 @@ from backend.util.timezone_utils import (
)
from .base import BaseTool
from .helpers import get_inputs_from_schema
from .models import (
AgentDetails,
AgentDetailsResponse,
@@ -261,7 +262,7 @@ class RunAgentTool(BaseTool):
),
requirements={
"credentials": requirements_creds_list,
"inputs": self._get_inputs_list(graph.input_schema),
"inputs": get_inputs_from_schema(graph.input_schema),
"execution_modes": self._get_execution_modes(graph),
},
),
@@ -369,22 +370,6 @@ class RunAgentTool(BaseTool):
session_id=session_id,
)
def _get_inputs_list(self, input_schema: dict[str, Any]) -> list[dict[str, Any]]:
"""Extract inputs list from schema."""
inputs_list = []
if isinstance(input_schema, dict) and "properties" in input_schema:
for field_name, field_schema in input_schema["properties"].items():
inputs_list.append(
{
"name": field_name,
"title": field_schema.get("title", field_name),
"type": field_schema.get("type", "string"),
"description": field_schema.get("description", ""),
"required": field_name in input_schema.get("required", []),
}
)
return inputs_list
def _get_execution_modes(self, graph: GraphModel) -> list[str]:
"""Get available execution modes for the graph."""
trigger_info = graph.trigger_setup_info
@@ -398,7 +383,7 @@ class RunAgentTool(BaseTool):
suffix: str,
) -> str:
"""Build a message describing available inputs for an agent."""
inputs_list = self._get_inputs_list(graph.input_schema)
inputs_list = get_inputs_from_schema(graph.input_schema)
required_names = [i["name"] for i in inputs_list if i["required"]]
optional_names = [i["name"] for i in inputs_list if not i["required"]]

View File

@@ -8,14 +8,19 @@ from typing import Any
from pydantic_core import PydanticUndefined
from backend.api.features.chat.model import ChatSession
from backend.data.block import get_block
from backend.api.features.chat.tools.find_block import (
COPILOT_EXCLUDED_BLOCK_IDS,
COPILOT_EXCLUDED_BLOCK_TYPES,
)
from backend.data.block import AnyBlockSchema, get_block
from backend.data.execution import ExecutionContext
from backend.data.model import CredentialsMetaInput
from backend.data.model import CredentialsFieldInfo, CredentialsMetaInput
from backend.data.workspace import get_or_create_workspace
from backend.integrations.creds_manager import IntegrationCredentialsManager
from backend.util.exceptions import BlockError
from .base import BaseTool
from .helpers import get_inputs_from_schema
from .models import (
BlockOutputResponse,
ErrorResponse,
@@ -24,7 +29,10 @@ from .models import (
ToolResponseBase,
UserReadiness,
)
from .utils import build_missing_credentials_from_field_info
from .utils import (
build_missing_credentials_from_field_info,
match_credentials_to_requirements,
)
logger = logging.getLogger(__name__)
@@ -73,91 +81,6 @@ class RunBlockTool(BaseTool):
def requires_auth(self) -> bool:
return True
async def _check_block_credentials(
self,
user_id: str,
block: Any,
input_data: dict[str, Any] | None = None,
) -> tuple[dict[str, CredentialsMetaInput], list[CredentialsMetaInput]]:
"""
Check if user has required credentials for a block.
Args:
user_id: User ID
block: Block to check credentials for
input_data: Input data for the block (used to determine provider via discriminator)
Returns:
tuple[matched_credentials, missing_credentials]
"""
matched_credentials: dict[str, CredentialsMetaInput] = {}
missing_credentials: list[CredentialsMetaInput] = []
input_data = input_data or {}
# Get credential field info from block's input schema
credentials_fields_info = block.input_schema.get_credentials_fields_info()
if not credentials_fields_info:
return matched_credentials, missing_credentials
# Get user's available credentials
creds_manager = IntegrationCredentialsManager()
available_creds = await creds_manager.store.get_all_creds(user_id)
for field_name, field_info in credentials_fields_info.items():
effective_field_info = field_info
if field_info.discriminator and field_info.discriminator_mapping:
# Get discriminator from input, falling back to schema default
discriminator_value = input_data.get(field_info.discriminator)
if discriminator_value is None:
field = block.input_schema.model_fields.get(
field_info.discriminator
)
if field and field.default is not PydanticUndefined:
discriminator_value = field.default
if (
discriminator_value
and discriminator_value in field_info.discriminator_mapping
):
effective_field_info = field_info.discriminate(discriminator_value)
logger.debug(
f"Discriminated provider for {field_name}: "
f"{discriminator_value} -> {effective_field_info.provider}"
)
matching_cred = next(
(
cred
for cred in available_creds
if cred.provider in effective_field_info.provider
and cred.type in effective_field_info.supported_types
),
None,
)
if matching_cred:
matched_credentials[field_name] = CredentialsMetaInput(
id=matching_cred.id,
provider=matching_cred.provider, # type: ignore
type=matching_cred.type,
title=matching_cred.title,
)
else:
# Create a placeholder for the missing credential
provider = next(iter(effective_field_info.provider), "unknown")
cred_type = next(iter(effective_field_info.supported_types), "api_key")
missing_credentials.append(
CredentialsMetaInput(
id=field_name,
provider=provider, # type: ignore
type=cred_type, # type: ignore
title=field_name.replace("_", " ").title(),
)
)
return matched_credentials, missing_credentials
async def _execute(
self,
user_id: str | None,
@@ -212,11 +135,24 @@ class RunBlockTool(BaseTool):
session_id=session_id,
)
# Check if block is excluded from CoPilot (graph-only blocks)
if (
block.block_type in COPILOT_EXCLUDED_BLOCK_TYPES
or block.id in COPILOT_EXCLUDED_BLOCK_IDS
):
return ErrorResponse(
message=(
f"Block '{block.name}' cannot be run directly in CoPilot. "
"This block is designed for use within graphs only."
),
session_id=session_id,
)
logger.info(f"Executing block {block.name} ({block_id}) for user {user_id}")
creds_manager = IntegrationCredentialsManager()
matched_credentials, missing_credentials = await self._check_block_credentials(
user_id, block, input_data
matched_credentials, missing_credentials = (
await self._resolve_block_credentials(user_id, block, input_data)
)
if missing_credentials:
@@ -345,29 +281,75 @@ class RunBlockTool(BaseTool):
session_id=session_id,
)
def _get_inputs_list(self, block: Any) -> list[dict[str, Any]]:
async def _resolve_block_credentials(
self,
user_id: str,
block: AnyBlockSchema,
input_data: dict[str, Any] | None = None,
) -> tuple[dict[str, CredentialsMetaInput], list[CredentialsMetaInput]]:
"""
Resolve credentials for a block by matching user's available credentials.
Args:
user_id: User ID
block: Block to resolve credentials for
input_data: Input data for the block (used to determine provider via discriminator)
Returns:
tuple of (matched_credentials, missing_credentials) - matched credentials
are used for block execution, missing ones indicate setup requirements.
"""
input_data = input_data or {}
requirements = self._resolve_discriminated_credentials(block, input_data)
if not requirements:
return {}, []
return await match_credentials_to_requirements(user_id, requirements)
def _get_inputs_list(self, block: AnyBlockSchema) -> list[dict[str, Any]]:
"""Extract non-credential inputs from block schema."""
inputs_list = []
schema = block.input_schema.jsonschema()
properties = schema.get("properties", {})
required_fields = set(schema.get("required", []))
# Get credential field names to exclude
credentials_fields = set(block.input_schema.get_credentials_fields().keys())
return get_inputs_from_schema(schema, exclude_fields=credentials_fields)
for field_name, field_schema in properties.items():
# Skip credential fields
if field_name in credentials_fields:
continue
def _resolve_discriminated_credentials(
self,
block: AnyBlockSchema,
input_data: dict[str, Any],
) -> dict[str, CredentialsFieldInfo]:
"""Resolve credential requirements, applying discriminator logic where needed."""
credentials_fields_info = block.input_schema.get_credentials_fields_info()
if not credentials_fields_info:
return {}
inputs_list.append(
{
"name": field_name,
"title": field_schema.get("title", field_name),
"type": field_schema.get("type", "string"),
"description": field_schema.get("description", ""),
"required": field_name in required_fields,
}
)
resolved: dict[str, CredentialsFieldInfo] = {}
return inputs_list
for field_name, field_info in credentials_fields_info.items():
effective_field_info = field_info
if field_info.discriminator and field_info.discriminator_mapping:
discriminator_value = input_data.get(field_info.discriminator)
if discriminator_value is None:
field = block.input_schema.model_fields.get(
field_info.discriminator
)
if field and field.default is not PydanticUndefined:
discriminator_value = field.default
if (
discriminator_value
and discriminator_value in field_info.discriminator_mapping
):
effective_field_info = field_info.discriminate(discriminator_value)
# For host-scoped credentials, add the discriminator value
# (e.g., URL) so _credential_is_for_host can match it
effective_field_info.discriminator_values.add(discriminator_value)
logger.debug(
f"Discriminated provider for {field_name}: "
f"{discriminator_value} -> {effective_field_info.provider}"
)
resolved[field_name] = effective_field_info
return resolved

View File

@@ -0,0 +1,106 @@
"""Tests for block execution guards in RunBlockTool."""
from unittest.mock import MagicMock, patch
import pytest
from backend.api.features.chat.tools.models import ErrorResponse
from backend.api.features.chat.tools.run_block import RunBlockTool
from backend.data.block import BlockType
from ._test_data import make_session
_TEST_USER_ID = "test-user-run-block"
def make_mock_block(
block_id: str, name: str, block_type: BlockType, disabled: bool = False
):
"""Create a mock block for testing."""
mock = MagicMock()
mock.id = block_id
mock.name = name
mock.block_type = block_type
mock.disabled = disabled
mock.input_schema = MagicMock()
mock.input_schema.jsonschema.return_value = {"properties": {}, "required": []}
mock.input_schema.get_credentials_fields_info.return_value = []
return mock
class TestRunBlockFiltering:
"""Tests for block execution guards in RunBlockTool."""
@pytest.mark.asyncio(loop_scope="session")
async def test_excluded_block_type_returns_error(self):
"""Attempting to execute a block with excluded BlockType returns error."""
session = make_session(user_id=_TEST_USER_ID)
input_block = make_mock_block("input-block-id", "Input Block", BlockType.INPUT)
with patch(
"backend.api.features.chat.tools.run_block.get_block",
return_value=input_block,
):
tool = RunBlockTool()
response = await tool._execute(
user_id=_TEST_USER_ID,
session=session,
block_id="input-block-id",
input_data={},
)
assert isinstance(response, ErrorResponse)
assert "cannot be run directly in CoPilot" in response.message
assert "designed for use within graphs only" in response.message
@pytest.mark.asyncio(loop_scope="session")
async def test_excluded_block_id_returns_error(self):
"""Attempting to execute SmartDecisionMakerBlock returns error."""
session = make_session(user_id=_TEST_USER_ID)
smart_decision_id = "3b191d9f-356f-482d-8238-ba04b6d18381"
smart_block = make_mock_block(
smart_decision_id, "Smart Decision Maker", BlockType.STANDARD
)
with patch(
"backend.api.features.chat.tools.run_block.get_block",
return_value=smart_block,
):
tool = RunBlockTool()
response = await tool._execute(
user_id=_TEST_USER_ID,
session=session,
block_id=smart_decision_id,
input_data={},
)
assert isinstance(response, ErrorResponse)
assert "cannot be run directly in CoPilot" in response.message
@pytest.mark.asyncio(loop_scope="session")
async def test_non_excluded_block_passes_guard(self):
"""Non-excluded blocks pass the filtering guard (may fail later for other reasons)."""
session = make_session(user_id=_TEST_USER_ID)
standard_block = make_mock_block(
"standard-id", "HTTP Request", BlockType.STANDARD
)
with patch(
"backend.api.features.chat.tools.run_block.get_block",
return_value=standard_block,
):
tool = RunBlockTool()
response = await tool._execute(
user_id=_TEST_USER_ID,
session=session,
block_id="standard-id",
input_data={},
)
# Should NOT be an ErrorResponse about CoPilot exclusion
# (may be other errors like missing credentials, but not the exclusion guard)
if isinstance(response, ErrorResponse):
assert "cannot be run directly in CoPilot" not in response.message

View File

@@ -8,6 +8,7 @@ from backend.api.features.library import model as library_model
from backend.api.features.store import db as store_db
from backend.data.graph import GraphModel
from backend.data.model import (
Credentials,
CredentialsFieldInfo,
CredentialsMetaInput,
HostScopedCredentials,
@@ -223,6 +224,99 @@ async def get_or_create_library_agent(
return library_agents[0]
async def match_credentials_to_requirements(
user_id: str,
requirements: dict[str, CredentialsFieldInfo],
) -> tuple[dict[str, CredentialsMetaInput], list[CredentialsMetaInput]]:
"""
Match user's credentials against a dictionary of credential requirements.
This is the core matching logic shared by both graph and block credential matching.
"""
matched: dict[str, CredentialsMetaInput] = {}
missing: list[CredentialsMetaInput] = []
if not requirements:
return matched, missing
available_creds = await get_user_credentials(user_id)
for field_name, field_info in requirements.items():
matching_cred = find_matching_credential(available_creds, field_info)
if matching_cred:
try:
matched[field_name] = create_credential_meta_from_match(matching_cred)
except Exception as e:
logger.error(
f"Failed to create CredentialsMetaInput for field '{field_name}': "
f"provider={matching_cred.provider}, type={matching_cred.type}, "
f"credential_id={matching_cred.id}",
exc_info=True,
)
provider = next(iter(field_info.provider), "unknown")
cred_type = next(iter(field_info.supported_types), "api_key")
missing.append(
CredentialsMetaInput(
id=field_name,
provider=provider, # type: ignore
type=cred_type, # type: ignore
title=f"{field_name} (validation failed: {e})",
)
)
else:
provider = next(iter(field_info.provider), "unknown")
cred_type = next(iter(field_info.supported_types), "api_key")
missing.append(
CredentialsMetaInput(
id=field_name,
provider=provider, # type: ignore
type=cred_type, # type: ignore
title=field_name.replace("_", " ").title(),
)
)
return matched, missing
async def get_user_credentials(user_id: str) -> list[Credentials]:
"""Get all available credentials for a user."""
creds_manager = IntegrationCredentialsManager()
return await creds_manager.store.get_all_creds(user_id)
def find_matching_credential(
available_creds: list[Credentials],
field_info: CredentialsFieldInfo,
) -> Credentials | None:
"""Find a credential that matches the required provider, type, scopes, and host."""
for cred in available_creds:
if cred.provider not in field_info.provider:
continue
if cred.type not in field_info.supported_types:
continue
if cred.type == "oauth2" and not _credential_has_required_scopes(
cred, field_info
):
continue
if cred.type == "host_scoped" and not _credential_is_for_host(cred, field_info):
continue
return cred
return None
def create_credential_meta_from_match(
matching_cred: Credentials,
) -> CredentialsMetaInput:
"""Create a CredentialsMetaInput from a matched credential."""
return CredentialsMetaInput(
id=matching_cred.id,
provider=matching_cred.provider, # type: ignore
type=matching_cred.type,
title=matching_cred.title,
)
async def match_user_credentials_to_graph(
user_id: str,
graph: GraphModel,
@@ -331,8 +425,6 @@ def _credential_has_required_scopes(
# If no scopes are required, any credential matches
if not requirements.required_scopes:
return True
# Check that credential scopes are a superset of required scopes
return set(credential.scopes).issuperset(requirements.required_scopes)

View File

@@ -3,8 +3,6 @@
import queue
import threading
import pytest
from backend.data.execution import ExecutionQueue

View File

@@ -1,3 +1,4 @@
import asyncio
import logging
from abc import ABC, abstractmethod
from enum import Enum
@@ -225,6 +226,10 @@ class SyncRabbitMQ(RabbitMQBase):
class AsyncRabbitMQ(RabbitMQBase):
"""Asynchronous RabbitMQ client"""
def __init__(self, config: RabbitMQConfig):
super().__init__(config)
self._reconnect_lock: asyncio.Lock | None = None
@property
def is_connected(self) -> bool:
return bool(self._connection and not self._connection.is_closed)
@@ -235,7 +240,17 @@ class AsyncRabbitMQ(RabbitMQBase):
@conn_retry("AsyncRabbitMQ", "Acquiring async connection")
async def connect(self):
if self.is_connected:
if self.is_connected and self._channel and not self._channel.is_closed:
return
if (
self.is_connected
and self._connection
and (self._channel is None or self._channel.is_closed)
):
self._channel = await self._connection.channel()
await self._channel.set_qos(prefetch_count=1)
await self.declare_infrastructure()
return
self._connection = await aio_pika.connect_robust(
@@ -291,24 +306,46 @@ class AsyncRabbitMQ(RabbitMQBase):
exchange, routing_key=queue.routing_key or queue.name
)
@func_retry
async def publish_message(
@property
def _lock(self) -> asyncio.Lock:
if self._reconnect_lock is None:
self._reconnect_lock = asyncio.Lock()
return self._reconnect_lock
async def _ensure_channel(self) -> aio_pika.abc.AbstractChannel:
"""Get a valid channel, reconnecting if the current one is stale.
Uses a lock to prevent concurrent reconnection attempts from racing.
"""
if self.is_ready:
return self._channel # type: ignore # is_ready guarantees non-None
async with self._lock:
# Double-check after acquiring lock
if self.is_ready:
return self._channel # type: ignore
self._channel = None
await self.connect()
if self._channel is None:
raise RuntimeError("Channel should be established after connect")
return self._channel
async def _publish_once(
self,
routing_key: str,
message: str,
exchange: Optional[Exchange] = None,
persistent: bool = True,
) -> None:
if not self.is_ready:
await self.connect()
if self._channel is None:
raise RuntimeError("Channel should be established after connect")
channel = await self._ensure_channel()
if exchange:
exchange_obj = await self._channel.get_exchange(exchange.name)
exchange_obj = await channel.get_exchange(exchange.name)
else:
exchange_obj = self._channel.default_exchange
exchange_obj = channel.default_exchange
await exchange_obj.publish(
aio_pika.Message(
@@ -322,9 +359,23 @@ class AsyncRabbitMQ(RabbitMQBase):
routing_key=routing_key,
)
@func_retry
async def publish_message(
self,
routing_key: str,
message: str,
exchange: Optional[Exchange] = None,
persistent: bool = True,
) -> None:
try:
await self._publish_once(routing_key, message, exchange, persistent)
except aio_pika.exceptions.ChannelInvalidStateError:
logger.warning(
"RabbitMQ channel invalid, forcing reconnect and retrying publish"
)
async with self._lock:
self._channel = None
await self._publish_once(routing_key, message, exchange, persistent)
async def get_channel(self) -> aio_pika.abc.AbstractChannel:
if not self.is_ready:
await self.connect()
if self._channel is None:
raise RuntimeError("Channel should be established after connect")
return self._channel
return await self._ensure_channel()

View File

@@ -104,7 +104,31 @@ export function FileInput(props: Props) {
return false;
}
const getFileLabelFromValue = (val: string) => {
const getFileLabelFromValue = (val: unknown): string => {
// Handle object format from external API: { name, type, size, data }
if (val && typeof val === "object") {
const obj = val as Record<string, unknown>;
if (typeof obj.name === "string") {
return getFileLabel(
obj.name,
typeof obj.type === "string" ? obj.type : "",
);
}
if (typeof obj.type === "string") {
const mimeParts = obj.type.split("/");
if (mimeParts.length > 1) {
return `${mimeParts[1].toUpperCase()} file`;
}
return `${obj.type} file`;
}
return "File";
}
// Handle string values (data URIs or file paths)
if (typeof val !== "string") {
return "File";
}
if (val.startsWith("data:")) {
const matches = val.match(/^data:([^;]+);/);
if (matches?.[1]) {