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5 Commits

Author SHA1 Message Date
Otto
435738f2f9 refactor: address Pwuts review feedback
- Remove unused error_response() and format_inputs_as_markdown() from helpers.py
- Remove _get_inputs_list() wrapper from run_agent.py, use get_inputs_from_schema directly
- Fix type annotations: get_user_credentials, find_matching_credential, create_credential_meta_from_match
- Remove check_scopes parameter - always check scopes (original missing check was broken behavior)
- Reorder _credential_has_required_scopes to be defined before find_matching_credential
2026-02-08 16:43:21 +00:00
Otto
10ebaf5104 fix: enable scope checking for block credentials (consistency with graphs)
Previously run_block didn't check OAuth2 scopes while run_agent did.
Now both use the same scope-checking logic for credential matching.
2026-02-08 16:42:58 +00:00
Otto
59e58d5e9b fix: preserve original credential matching behavior
- Add check_scopes parameter to find_matching_credential and
  match_credentials_to_requirements (default True)
- run_block uses check_scopes=False to preserve original behavior
  (original run_block did not verify OAuth2 scopes)
- Add isinstance check to get_inputs_from_schema for safety
  (original returned [] if input_schema wasn't a dict)
2026-02-08 16:42:58 +00:00
Otto
f458adf2a5 chore: remove docstrings and use sorted() for deterministic UUID ordering 2026-02-08 16:42:53 +00:00
Otto
1613e41cab refactor(copilot): code cleanup - extract shared helpers and reduce duplication
- Create tools/helpers.py with shared utilities (get_inputs_from_schema)
- Add shared credential matching utilities to utils.py
- Refactor run_block to use shared matching with discriminator support
- Update run_agent.py to use shared helpers
- Add validation.py with UUID helpers

Note: routes.py streaming refactor dropped - dev has new stream registry implementation
2026-02-08 16:42:50 +00:00
31 changed files with 669 additions and 1305 deletions

View File

@@ -49,7 +49,7 @@ jobs:
- name: Create PR ${{ env.BUILD_BRANCH }} -> ${{ github.ref_name }}
if: github.event_name == 'push'
uses: peter-evans/create-pull-request@v8
uses: peter-evans/create-pull-request@v7
with:
add-paths: classic/frontend/build/web
base: ${{ github.ref_name }}

View File

@@ -42,7 +42,7 @@ jobs:
- name: Get CI failure details
id: failure_details
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
const run = await github.rest.actions.getWorkflowRun({

View File

@@ -41,7 +41,7 @@ jobs:
python-version: "3.11" # Use standard version matching CI
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
@@ -91,7 +91,7 @@ jobs:
echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
- name: Cache frontend dependencies
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
@@ -124,7 +124,7 @@ jobs:
# Phase 1: Cache and load Docker images for faster setup
- name: Set up Docker image cache
id: docker-cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/docker-cache
# Use a versioned key for cache invalidation when image list changes
@@ -309,7 +309,6 @@ jobs:
uses: anthropics/claude-code-action@v1
with:
claude_code_oauth_token: ${{ secrets.CLAUDE_CODE_OAUTH_TOKEN }}
allowed_bots: "dependabot[bot]"
claude_args: |
--allowedTools "Bash(npm:*),Bash(pnpm:*),Bash(poetry:*),Bash(git:*),Edit,Replace,NotebookEditCell,mcp__github_inline_comment__create_inline_comment,Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*)"
prompt: |

View File

@@ -57,7 +57,7 @@ jobs:
python-version: "3.11" # Use standard version matching CI
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
@@ -107,7 +107,7 @@ jobs:
echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
- name: Cache frontend dependencies
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
@@ -140,7 +140,7 @@ jobs:
# Phase 1: Cache and load Docker images for faster setup
- name: Set up Docker image cache
id: docker-cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/docker-cache
# Use a versioned key for cache invalidation when image list changes

View File

@@ -39,7 +39,7 @@ jobs:
python-version: "3.11" # Use standard version matching CI
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}
@@ -89,7 +89,7 @@ jobs:
echo "PNPM_HOME=$HOME/.pnpm-store" >> $GITHUB_ENV
- name: Cache frontend dependencies
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ runner.os }}-pnpm-${{ hashFiles('autogpt_platform/frontend/pnpm-lock.yaml', 'autogpt_platform/frontend/package.json') }}
@@ -132,7 +132,7 @@ jobs:
# Phase 1: Cache and load Docker images for faster setup
- name: Set up Docker image cache
id: docker-cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/docker-cache
# Use a versioned key for cache invalidation when image list changes

View File

@@ -33,7 +33,7 @@ jobs:
python-version: "3.11"
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}

View File

@@ -33,7 +33,7 @@ jobs:
python-version: "3.11"
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}

View File

@@ -38,7 +38,7 @@ jobs:
python-version: "3.11"
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}

View File

@@ -88,7 +88,7 @@ jobs:
run: echo "date=$(date +'%Y-%m-%d')" >> $GITHUB_OUTPUT
- name: Set up Python dependency cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.cache/pypoetry
key: poetry-${{ runner.os }}-${{ hashFiles('autogpt_platform/backend/poetry.lock') }}

View File

@@ -17,7 +17,7 @@ jobs:
- name: Check comment permissions and deployment status
id: check_status
if: github.event_name == 'issue_comment' && github.event.issue.pull_request
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
const commentBody = context.payload.comment.body.trim();
@@ -55,7 +55,7 @@ jobs:
- name: Post permission denied comment
if: steps.check_status.outputs.permission_denied == 'true'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
await github.rest.issues.createComment({
@@ -68,7 +68,7 @@ jobs:
- name: Get PR details for deployment
id: pr_details
if: steps.check_status.outputs.should_deploy == 'true' || steps.check_status.outputs.should_undeploy == 'true'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
const pr = await github.rest.pulls.get({
@@ -98,7 +98,7 @@ jobs:
- name: Post deploy success comment
if: steps.check_status.outputs.should_deploy == 'true'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
await github.rest.issues.createComment({
@@ -126,7 +126,7 @@ jobs:
- name: Post undeploy success comment
if: steps.check_status.outputs.should_undeploy == 'true'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
await github.rest.issues.createComment({
@@ -139,7 +139,7 @@ jobs:
- name: Check deployment status on PR close
id: check_pr_close
if: github.event_name == 'pull_request' && github.event.action == 'closed'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
const comments = await github.rest.issues.listComments({
@@ -187,7 +187,7 @@ jobs:
github.event_name == 'pull_request' &&
github.event.action == 'closed' &&
steps.check_pr_close.outputs.should_undeploy == 'true'
uses: actions/github-script@v8
uses: actions/github-script@v7
with:
script: |
await github.rest.issues.createComment({

View File

@@ -54,7 +54,7 @@ jobs:
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
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ steps.cache-key.outputs.key }}
@@ -82,7 +82,7 @@ jobs:
run: corepack enable
- name: Restore dependencies cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}
@@ -120,7 +120,7 @@ jobs:
run: corepack enable
- name: Restore dependencies cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}
@@ -176,7 +176,7 @@ jobs:
uses: docker/setup-buildx-action@v3
- name: Cache Docker layers
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: /tmp/.buildx-cache
key: ${{ runner.os }}-buildx-frontend-test-${{ hashFiles('autogpt_platform/docker-compose.yml', 'autogpt_platform/backend/Dockerfile', 'autogpt_platform/backend/pyproject.toml', 'autogpt_platform/backend/poetry.lock') }}
@@ -231,7 +231,7 @@ jobs:
fi
- name: Restore dependencies cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}
@@ -290,7 +290,7 @@ jobs:
run: corepack enable
- name: Restore dependencies cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}

View File

@@ -44,7 +44,7 @@ jobs:
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
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ steps.cache-key.outputs.key }}
@@ -88,7 +88,7 @@ jobs:
docker compose -f ../docker-compose.yml --profile local --profile deps_backend up -d
- name: Restore dependencies cache
uses: actions/cache@v5
uses: actions/cache@v4
with:
path: ~/.pnpm-store
key: ${{ needs.setup.outputs.cache-key }}

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"},
@@ -99,101 +99,84 @@ files = [
[[package]]
name = "cffi"
version = "2.0.0"
version = "1.17.1"
description = "Foreign Function Interface for Python calling C code."
optional = false
python-versions = ">=3.9"
python-versions = ">=3.8"
groups = ["main"]
markers = "platform_python_implementation != \"PyPy\""
files = [
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typing-extensions = {version = ">=4.13.2", markers = "python_full_version < \"3.11.0\""}
cffi = {version = ">=1.14", markers = "platform_python_implementation != \"PyPy\""}
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docs = ["sphinx (>=5.3.0)", "sphinx-inline-tabs ; python_full_version >= \"3.8.0\"", "sphinx-rtd-theme (>=3.0.0) ; python_full_version >= \"3.8.0\""]
docstest = ["pyenchant (>=3)", "readme-renderer (>=30.0)", "sphinxcontrib-spelling (>=7.3.1)"]
nox = ["nox[uv] (>=2024.4.15)"]
pep8test = ["check-sdist", "click (>=8.0.1)", "mypy (>=1.14)", "ruff (>=0.11.11)"]
nox = ["nox (>=2024.4.15)", "nox[uv] (>=2024.3.2) ; python_full_version >= \"3.8.0\""]
pep8test = ["check-sdist ; python_full_version >= \"3.8.0\"", "click (>=8.0.1)", "mypy (>=1.4)", "ruff (>=0.3.6)"]
sdist = ["build (>=1.0.0)"]
ssh = ["bcrypt (>=3.1.5)"]
test = ["certifi (>=2024)", "cryptography-vectors (==46.0.4)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
test = ["certifi (>=2024)", "cryptography-vectors (==45.0.6)", "pretend (>=0.7)", "pytest (>=7.4.0)", "pytest-benchmark (>=4.0)", "pytest-cov (>=2.10.1)", "pytest-xdist (>=3.5.0)"]
test-randomorder = ["pytest-randomly"]
[[package]]
@@ -523,7 +493,7 @@ 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 = [
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@@ -1680,7 +1650,7 @@ description = "C parser in Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
markers = "platform_python_implementation != \"PyPy\" and implementation_name != \"PyPy\""
markers = "platform_python_implementation != \"PyPy\""
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@@ -2002,14 +1972,14 @@ files = [
[[package]]
name = "pyright"
version = "1.1.408"
version = "1.1.404"
description = "Command line wrapper for pyright"
optional = false
python-versions = ">=3.7"
groups = ["dev"]
files = [
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[package.dependencies]
@@ -2141,20 +2111,19 @@ dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "requests
[[package]]
name = "pytest-asyncio"
version = "1.3.0"
version = "1.1.0"
description = "Pytest support for asyncio"
optional = false
python-versions = ">=3.10"
python-versions = ">=3.9"
groups = ["dev"]
files = [
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[package.dependencies]
backports-asyncio-runner = {version = ">=1.1,<2", markers = "python_version < \"3.11\""}
pytest = ">=8.2,<10"
typing-extensions = {version = ">=4.12", markers = "python_version < \"3.13\""}
pytest = ">=8.2,<9"
[package.extras]
docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1)"]
@@ -2182,14 +2151,14 @@ testing = ["fields", "hunter", "process-tests", "pytest-xdist", "virtualenv"]
[[package]]
name = "pytest-mock"
version = "3.15.1"
version = "3.14.1"
description = "Thin-wrapper around the mock package for easier use with pytest"
optional = false
python-versions = ">=3.9"
python-versions = ">=3.8"
groups = ["dev"]
files = [
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[package.dependencies]
@@ -2323,30 +2292,31 @@ pyasn1 = ">=0.1.3"
[[package]]
name = "ruff"
version = "0.15.0"
version = "0.12.11"
description = "An extremely fast Python linter and code formatter, written in Rust."
optional = false
python-versions = ">=3.7"
groups = ["dev"]
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[[package]]
@@ -2545,7 +2515,7 @@ description = "A lil' TOML parser"
optional = false
python-versions = ">=3.8"
groups = ["dev"]
markers = "python_version == \"3.10\""
markers = "python_version < \"3.11\""
files = [
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@@ -2893,4 +2863,4 @@ type = ["pytest-mypy"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.10,<4.0"
content-hash = "b7ac335a86aa44c3d7d2802298818b389a6f1286e3e9b7b0edb2ff06377cecaf"
content-hash = "5f15a9c9381c9a374f3d18e087c23b1f1ba8cce192d6f67463a3e3a7a18fee44"

View File

@@ -9,7 +9,7 @@ packages = [{ include = "autogpt_libs" }]
[tool.poetry.dependencies]
python = ">=3.10,<4.0"
colorama = "^0.4.6"
cryptography = "^46.0"
cryptography = "^45.0"
expiringdict = "^1.2.2"
fastapi = "^0.128.0"
google-cloud-logging = "^3.13.0"
@@ -22,12 +22,12 @@ supabase = "^2.27.2"
uvicorn = "^0.40.0"
[tool.poetry.group.dev.dependencies]
pyright = "^1.1.408"
pyright = "^1.1.404"
pytest = "^8.4.1"
pytest-asyncio = "^1.3.0"
pytest-mock = "^3.15.1"
pytest-asyncio = "^1.1.0"
pytest-mock = "^3.14.1"
pytest-cov = "^6.2.1"
ruff = "^0.15.0"
ruff = "^0.12.11"
[build-system]
requires = ["poetry-core"]

View File

@@ -1,26 +1,29 @@
"""Chat API routes for chat session management and streaming via SSE."""
import logging
import uuid as uuid_module
from collections.abc import AsyncGenerator
from typing import Annotated
from autogpt_libs import auth
from fastapi import APIRouter, Depends, Header, HTTPException, Query, Security
from fastapi import APIRouter, Depends, Query, Security
from fastapi.responses import StreamingResponse
from pydantic import BaseModel
from backend.util.exceptions import NotFoundError
from . import service as chat_service
from . import stream_registry
from .completion_handler import process_operation_failure, process_operation_success
from .config import ChatConfig
from .model import ChatSession, create_chat_session, get_chat_session, get_user_sessions
from .response_model import StreamFinish, StreamHeartbeat, StreamStart
config = ChatConfig()
SSE_RESPONSE_HEADERS = {
"Cache-Control": "no-cache",
"Connection": "keep-alive",
"X-Accel-Buffering": "no",
"x-vercel-ai-ui-message-stream": "v1",
}
logger = logging.getLogger(__name__)
@@ -36,6 +39,48 @@ async def _validate_and_get_session(
return session
async def _create_stream_generator(
session_id: str,
message: str,
user_id: str | None,
session: ChatSession,
is_user_message: bool = True,
context: dict[str, str] | None = None,
) -> AsyncGenerator[str, None]:
"""Create SSE event generator for chat streaming."""
chunk_count = 0
first_chunk_type: str | None = None
async for chunk in chat_service.stream_chat_completion(
session_id,
message,
is_user_message=is_user_message,
user_id=user_id,
session=session,
context=context,
):
if chunk_count < 3:
logger.info(
"Chat stream chunk",
extra={
"session_id": session_id,
"chunk_type": str(chunk.type),
},
)
if not first_chunk_type:
first_chunk_type = str(chunk.type)
chunk_count += 1
yield chunk.to_sse()
logger.info(
"Chat stream completed",
extra={
"session_id": session_id,
"chunk_count": chunk_count,
"first_chunk_type": first_chunk_type,
},
)
yield "data: [DONE]\n\n"
router = APIRouter(
tags=["chat"],
)
@@ -59,15 +104,6 @@ class CreateSessionResponse(BaseModel):
user_id: str | None
class ActiveStreamInfo(BaseModel):
"""Information about an active stream for reconnection."""
task_id: str
last_message_id: str # Redis Stream message ID for resumption
operation_id: str # Operation ID for completion tracking
tool_name: str # Name of the tool being executed
class SessionDetailResponse(BaseModel):
"""Response model providing complete details for a chat session, including messages."""
@@ -76,7 +112,6 @@ class SessionDetailResponse(BaseModel):
updated_at: str
user_id: str | None
messages: list[dict]
active_stream: ActiveStreamInfo | None = None # Present if stream is still active
class SessionSummaryResponse(BaseModel):
@@ -95,14 +130,6 @@ class ListSessionsResponse(BaseModel):
total: int
class OperationCompleteRequest(BaseModel):
"""Request model for external completion webhook."""
success: bool
result: dict | str | None = None
error: str | None = None
# ========== Routes ==========
@@ -188,14 +215,13 @@ async def get_session(
Retrieve the details of a specific chat session.
Looks up a chat session by ID for the given user (if authenticated) and returns all session data including messages.
If there's an active stream for this session, returns the task_id for reconnection.
Args:
session_id: The unique identifier for the desired chat session.
user_id: The optional authenticated user ID, or None for anonymous access.
Returns:
SessionDetailResponse: Details for the requested session, including active_stream info if applicable.
SessionDetailResponse: Details for the requested session, or None if not found.
"""
session = await get_chat_session(session_id, user_id)
@@ -203,28 +229,11 @@ async def get_session(
raise NotFoundError(f"Session {session_id} not found.")
messages = [message.model_dump() for message in session.messages]
# Check if there's an active stream for this session
active_stream_info = None
active_task, last_message_id = await stream_registry.get_active_task_for_session(
session_id, user_id
logger.info(
f"Returning session {session_id}: "
f"message_count={len(messages)}, "
f"roles={[m.get('role') for m in messages]}"
)
if active_task:
# Filter out the in-progress assistant message from the session response.
# The client will receive the complete assistant response through the SSE
# stream replay instead, preventing duplicate content.
if messages and messages[-1].get("role") == "assistant":
messages = messages[:-1]
# Use "0-0" as last_message_id to replay the stream from the beginning.
# Since we filtered out the cached assistant message, the client needs
# the full stream to reconstruct the response.
active_stream_info = ActiveStreamInfo(
task_id=active_task.task_id,
last_message_id="0-0",
operation_id=active_task.operation_id,
tool_name=active_task.tool_name,
)
return SessionDetailResponse(
id=session.session_id,
@@ -232,7 +241,6 @@ async def get_session(
updated_at=session.updated_at.isoformat(),
user_id=session.user_id or None,
messages=messages,
active_stream=active_stream_info,
)
@@ -252,122 +260,27 @@ async def stream_chat_post(
- Tool call UI elements (if invoked)
- Tool execution results
The AI generation runs in a background task that continues even if the client disconnects.
All chunks are written to Redis for reconnection support. If the client disconnects,
they can reconnect using GET /tasks/{task_id}/stream to resume from where they left off.
Args:
session_id: The chat session identifier to associate with the streamed messages.
request: Request body containing message, is_user_message, and optional context.
user_id: Optional authenticated user ID.
Returns:
StreamingResponse: SSE-formatted response chunks. First chunk is a "start" event
containing the task_id for reconnection.
StreamingResponse: SSE-formatted response chunks.
"""
import asyncio
session = await _validate_and_get_session(session_id, user_id)
# Create a task in the stream registry for reconnection support
task_id = str(uuid_module.uuid4())
operation_id = str(uuid_module.uuid4())
await stream_registry.create_task(
task_id=task_id,
session_id=session_id,
user_id=user_id,
tool_call_id="chat_stream", # Not a tool call, but needed for the model
tool_name="chat",
operation_id=operation_id,
)
# Background task that runs the AI generation independently of SSE connection
async def run_ai_generation():
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)
async for chunk in chat_service.stream_chat_completion(
session_id,
request.message,
is_user_message=request.is_user_message,
user_id=user_id,
session=session, # Pass pre-fetched session to avoid double-fetch
context=request.context,
):
# Write to Redis (subscribers will receive via XREAD)
await stream_registry.publish_chunk(task_id, chunk)
# Mark task as completed
await stream_registry.mark_task_completed(task_id, "completed")
except Exception as e:
logger.error(
f"Error in background AI generation for session {session_id}: {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)
# SSE endpoint that subscribes to the task's stream
async def event_generator() -> AsyncGenerator[str, None]:
subscriber_queue = None
try:
# Subscribe to the task stream (this replays existing messages + live updates)
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
)
if subscriber_queue is None:
yield StreamFinish().to_sse()
yield "data: [DONE]\n\n"
return
# Read from the subscriber queue and yield to SSE
while True:
try:
chunk = await asyncio.wait_for(subscriber_queue.get(), timeout=30.0)
yield chunk.to_sse()
# Check for finish signal
if isinstance(chunk, StreamFinish):
break
except asyncio.TimeoutError:
# Send heartbeat to keep connection alive
yield StreamHeartbeat().to_sse()
except GeneratorExit:
pass # Client disconnected - background task continues
except Exception as e:
logger.error(f"Error in SSE stream for task {task_id}: {e}")
finally:
# Unsubscribe when client disconnects or stream ends to prevent resource leak
if subscriber_queue is not None:
try:
await stream_registry.unsubscribe_from_task(
task_id, subscriber_queue
)
except Exception as unsub_err:
logger.error(
f"Error unsubscribing from task {task_id}: {unsub_err}",
exc_info=True,
)
# AI SDK protocol termination - always yield even if unsubscribe fails
yield "data: [DONE]\n\n"
return StreamingResponse(
event_generator(),
_create_stream_generator(
session_id=session_id,
message=request.message,
user_id=user_id,
session=session,
is_user_message=request.is_user_message,
context=request.context,
),
media_type="text/event-stream",
headers={
"Cache-Control": "no-cache",
"Connection": "keep-alive",
"X-Accel-Buffering": "no", # Disable nginx buffering
"x-vercel-ai-ui-message-stream": "v1", # AI SDK protocol header
},
headers=SSE_RESPONSE_HEADERS,
)
@@ -399,48 +312,16 @@ async def stream_chat_get(
"""
session = await _validate_and_get_session(session_id, user_id)
async def event_generator() -> AsyncGenerator[str, None]:
chunk_count = 0
first_chunk_type: str | None = None
async for chunk in chat_service.stream_chat_completion(
session_id,
message,
is_user_message=is_user_message,
user_id=user_id,
session=session, # Pass pre-fetched session to avoid double-fetch
):
if chunk_count < 3:
logger.info(
"Chat stream chunk",
extra={
"session_id": session_id,
"chunk_type": str(chunk.type),
},
)
if not first_chunk_type:
first_chunk_type = str(chunk.type)
chunk_count += 1
yield chunk.to_sse()
logger.info(
"Chat stream completed",
extra={
"session_id": session_id,
"chunk_count": chunk_count,
"first_chunk_type": first_chunk_type,
},
)
# AI SDK protocol termination
yield "data: [DONE]\n\n"
return StreamingResponse(
event_generator(),
_create_stream_generator(
session_id=session_id,
message=message,
user_id=user_id,
session=session,
is_user_message=is_user_message,
),
media_type="text/event-stream",
headers={
"Cache-Control": "no-cache",
"Connection": "keep-alive",
"X-Accel-Buffering": "no", # Disable nginx buffering
"x-vercel-ai-ui-message-stream": "v1", # AI SDK protocol header
},
headers=SSE_RESPONSE_HEADERS,
)
@@ -470,251 +351,6 @@ async def session_assign_user(
return {"status": "ok"}
# ========== Task Streaming (SSE Reconnection) ==========
@router.get(
"/tasks/{task_id}/stream",
)
async def stream_task(
task_id: str,
user_id: str | None = Depends(auth.get_user_id),
last_message_id: str = Query(
default="0-0",
description="Last Redis Stream message ID received (e.g., '1706540123456-0'). Use '0-0' for full replay.",
),
):
"""
Reconnect to a long-running task's SSE stream.
When a long-running operation (like agent generation) starts, the client
receives a task_id. If the connection drops, the client can reconnect
using this endpoint to resume receiving updates.
Args:
task_id: The task ID from the operation_started response.
user_id: Authenticated user ID for ownership validation.
last_message_id: Last Redis Stream message ID received ("0-0" for full replay).
Returns:
StreamingResponse: SSE-formatted response chunks starting after last_message_id.
Raises:
HTTPException: 404 if task not found, 410 if task expired, 403 if access denied.
"""
# Check task existence and expiry before subscribing
task, error_code = await stream_registry.get_task_with_expiry_info(task_id)
if error_code == "TASK_EXPIRED":
raise HTTPException(
status_code=410,
detail={
"code": "TASK_EXPIRED",
"message": "This operation has expired. Please try again.",
},
)
if error_code == "TASK_NOT_FOUND":
raise HTTPException(
status_code=404,
detail={
"code": "TASK_NOT_FOUND",
"message": f"Task {task_id} not found.",
},
)
# Validate ownership if task has an owner
if task and task.user_id and user_id != task.user_id:
raise HTTPException(
status_code=403,
detail={
"code": "ACCESS_DENIED",
"message": "You do not have access to this task.",
},
)
# Get subscriber queue from stream registry
subscriber_queue = await stream_registry.subscribe_to_task(
task_id=task_id,
user_id=user_id,
last_message_id=last_message_id,
)
if subscriber_queue is None:
raise HTTPException(
status_code=404,
detail={
"code": "TASK_NOT_FOUND",
"message": f"Task {task_id} not found or access denied.",
},
)
async def event_generator() -> AsyncGenerator[str, None]:
import asyncio
heartbeat_interval = 15.0 # Send heartbeat every 15 seconds
try:
while True:
try:
# Wait for next chunk with timeout for heartbeats
chunk = await asyncio.wait_for(
subscriber_queue.get(), timeout=heartbeat_interval
)
yield chunk.to_sse()
# Check for finish signal
if isinstance(chunk, StreamFinish):
break
except asyncio.TimeoutError:
# Send heartbeat to keep connection alive
yield StreamHeartbeat().to_sse()
except Exception as e:
logger.error(f"Error in task stream {task_id}: {e}", exc_info=True)
finally:
# Unsubscribe when client disconnects or stream ends
try:
await stream_registry.unsubscribe_from_task(task_id, subscriber_queue)
except Exception as unsub_err:
logger.error(
f"Error unsubscribing from task {task_id}: {unsub_err}",
exc_info=True,
)
# AI SDK protocol termination - always yield even if unsubscribe fails
yield "data: [DONE]\n\n"
return StreamingResponse(
event_generator(),
media_type="text/event-stream",
headers={
"Cache-Control": "no-cache",
"Connection": "keep-alive",
"X-Accel-Buffering": "no",
"x-vercel-ai-ui-message-stream": "v1",
},
)
@router.get(
"/tasks/{task_id}",
)
async def get_task_status(
task_id: str,
user_id: str | None = Depends(auth.get_user_id),
) -> dict:
"""
Get the status of a long-running task.
Args:
task_id: The task ID to check.
user_id: Authenticated user ID for ownership validation.
Returns:
dict: Task status including task_id, status, tool_name, and operation_id.
Raises:
NotFoundError: If task_id is not found or user doesn't have access.
"""
task = await stream_registry.get_task(task_id)
if task is None:
raise NotFoundError(f"Task {task_id} not found.")
# Validate ownership - if task has an owner, requester must match
if task.user_id and user_id != task.user_id:
raise NotFoundError(f"Task {task_id} not found.")
return {
"task_id": task.task_id,
"session_id": task.session_id,
"status": task.status,
"tool_name": task.tool_name,
"operation_id": task.operation_id,
"created_at": task.created_at.isoformat(),
}
# ========== External Completion Webhook ==========
@router.post(
"/operations/{operation_id}/complete",
status_code=200,
)
async def complete_operation(
operation_id: str,
request: OperationCompleteRequest,
x_api_key: str | None = Header(default=None),
) -> dict:
"""
External completion webhook for long-running operations.
Called by Agent Generator (or other services) when an operation completes.
This triggers the stream registry to publish completion and continue LLM generation.
Args:
operation_id: The operation ID to complete.
request: Completion payload with success status and result/error.
x_api_key: Internal API key for authentication.
Returns:
dict: Status of the completion.
Raises:
HTTPException: If API key is invalid or operation not found.
"""
# Validate internal API key - reject if not configured or invalid
if not config.internal_api_key:
logger.error(
"Operation complete webhook rejected: CHAT_INTERNAL_API_KEY not configured"
)
raise HTTPException(
status_code=503,
detail="Webhook not available: internal API key not configured",
)
if x_api_key != config.internal_api_key:
raise HTTPException(status_code=401, detail="Invalid API key")
# Find task by operation_id
task = await stream_registry.find_task_by_operation_id(operation_id)
if task is None:
raise HTTPException(
status_code=404,
detail=f"Operation {operation_id} not found",
)
logger.info(
f"Received completion webhook for operation {operation_id} "
f"(task_id={task.task_id}, success={request.success})"
)
if request.success:
await process_operation_success(task, request.result)
else:
await process_operation_failure(task, request.error)
return {"status": "ok", "task_id": task.task_id}
# ========== Configuration ==========
@router.get("/config/ttl", status_code=200)
async def get_ttl_config() -> dict:
"""
Get the stream TTL configuration.
Returns the Time-To-Live settings for chat streams, which determines
how long clients can reconnect to an active stream.
Returns:
dict: TTL configuration with seconds and milliseconds values.
"""
return {
"stream_ttl_seconds": config.stream_ttl,
"stream_ttl_ms": config.stream_ttl * 1000,
}
# ========== Health Check ==========

View File

@@ -1090,7 +1090,6 @@ async def _stream_chat_chunks(
return
except Exception as e:
last_error = e
if _is_retryable_error(e) and retry_count < MAX_RETRIES:
retry_count += 1
# Calculate delay with exponential backoff
@@ -1106,26 +1105,12 @@ async def _stream_chat_chunks(
continue # Retry the stream
else:
# Non-retryable error or max retries exceeded
_log_api_error(
error=e,
session_id=session.session_id if session else None,
message_count=len(messages) if messages else None,
model=model,
retry_count=retry_count,
logger.error(
f"Error in stream (not retrying): {e!s}",
exc_info=True,
)
error_code = None
error_text = str(e)
error_details = _extract_api_error_details(e)
if error_details.get("response_body"):
body = error_details["response_body"]
if isinstance(body, dict):
err = body.get("error")
if isinstance(err, dict) and err.get("message"):
error_text = err["message"]
elif body.get("message"):
error_text = body["message"]
if _is_region_blocked_error(e):
error_code = "MODEL_NOT_AVAILABLE_REGION"
error_text = (
@@ -1142,12 +1127,9 @@ async def _stream_chat_chunks(
# If we exit the retry loop without returning, it means we exhausted retries
if last_error:
_log_api_error(
error=last_error,
session_id=session.session_id if session else None,
message_count=len(messages) if messages else None,
model=model,
retry_count=MAX_RETRIES,
logger.error(
f"Max retries ({MAX_RETRIES}) exceeded. Last error: {last_error!s}",
exc_info=True,
)
yield StreamError(errorText=f"Max retries exceeded: {last_error!s}")
yield StreamFinish()
@@ -1719,7 +1701,6 @@ async def _generate_llm_continuation(
break # Success, exit retry loop
except Exception as e:
last_error = e
if _is_retryable_error(e) and retry_count < MAX_RETRIES:
retry_count += 1
delay = min(
@@ -1733,23 +1714,17 @@ async def _generate_llm_continuation(
await asyncio.sleep(delay)
continue
else:
# Non-retryable error - log details and exit gracefully
_log_api_error(
error=e,
session_id=session_id,
message_count=len(messages) if messages else None,
model=config.model,
retry_count=retry_count,
# Non-retryable error - log and exit gracefully
logger.error(
f"Non-retryable error in LLM continuation: {e!s}",
exc_info=True,
)
return
if last_error:
_log_api_error(
error=last_error,
session_id=session_id,
message_count=len(messages) if messages else None,
model=config.model,
retry_count=MAX_RETRIES,
logger.error(
f"Max retries ({MAX_RETRIES}) exceeded for LLM continuation. "
f"Last error: {last_error!s}"
)
return
@@ -1789,89 +1764,6 @@ async def _generate_llm_continuation(
logger.error(f"Failed to generate LLM continuation: {e}", exc_info=True)
def _log_api_error(
error: Exception,
session_id: str | None = None,
message_count: int | None = None,
model: str | None = None,
retry_count: int = 0,
) -> None:
"""Log detailed API error information for debugging."""
details = _extract_api_error_details(error)
details["session_id"] = session_id
details["message_count"] = message_count
details["model"] = model
details["retry_count"] = retry_count
if isinstance(error, RateLimitError):
logger.warning(f"Rate limit error: {details}")
elif isinstance(error, APIConnectionError):
logger.warning(f"API connection error: {details}")
elif isinstance(error, APIStatusError) and error.status_code >= 500:
logger.error(f"API server error (5xx): {details}")
else:
logger.error(f"API error: {details}")
def _extract_api_error_details(error: Exception) -> dict[str, Any]:
"""Extract detailed information from OpenAI/OpenRouter API errors."""
error_msg = str(error)
details: dict[str, Any] = {
"error_type": type(error).__name__,
"error_message": error_msg[:500] + "..." if len(error_msg) > 500 else error_msg,
}
if hasattr(error, "code"):
details["code"] = getattr(error, "code", None)
if hasattr(error, "param"):
details["param"] = getattr(error, "param", None)
if isinstance(error, APIStatusError):
details["status_code"] = error.status_code
details["request_id"] = getattr(error, "request_id", None)
if hasattr(error, "body") and error.body:
details["response_body"] = _sanitize_error_body(error.body)
if hasattr(error, "response") and error.response:
headers = error.response.headers
details["openrouter_provider"] = headers.get("x-openrouter-provider")
details["openrouter_model"] = headers.get("x-openrouter-model")
details["retry_after"] = headers.get("retry-after")
details["rate_limit_remaining"] = headers.get("x-ratelimit-remaining")
return details
def _sanitize_error_body(
body: Any, max_length: int = 2000
) -> dict[str, Any] | str | None:
"""Extract only safe fields from error response body to avoid logging sensitive data."""
if not isinstance(body, dict):
# Non-dict bodies (e.g., HTML error pages) - return truncated string
if body is not None:
body_str = str(body)
if len(body_str) > max_length:
return body_str[:max_length] + "...[truncated]"
return body_str
return None
safe_fields = ("message", "type", "code", "param", "error")
sanitized: dict[str, Any] = {}
for field in safe_fields:
if field in body:
value = body[field]
if field == "error" and isinstance(value, dict):
sanitized[field] = _sanitize_error_body(value, max_length)
elif isinstance(value, str) and len(value) > max_length:
sanitized[field] = value[:max_length] + "...[truncated]"
else:
sanitized[field] = value
return sanitized if sanitized else None
async def _generate_llm_continuation_with_streaming(
session_id: str,
user_id: str | None,

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

@@ -10,12 +10,13 @@ from pydantic_core import PydanticUndefined
from backend.api.features.chat.model import ChatSession
from backend.data.block import 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 +25,10 @@ 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__)
@@ -73,41 +77,22 @@ class RunBlockTool(BaseTool):
def requires_auth(self) -> bool:
return True
async def _check_block_credentials(
def _resolve_discriminated_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
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 matched_credentials, missing_credentials
return {}
# Get user's available credentials
creds_manager = IntegrationCredentialsManager()
available_creds = await creds_manager.store.get_all_creds(user_id)
resolved: dict[str, CredentialsFieldInfo] = {}
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(
@@ -126,37 +111,34 @@ class RunBlockTool(BaseTool):
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,
)
resolved[field_name] = effective_field_info
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 resolved
return matched_credentials, missing_credentials
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]
"""
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)
async def _execute(
self,
@@ -347,27 +329,6 @@ class RunBlockTool(BaseTool):
def _get_inputs_list(self, block: Any) -> 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())
for field_name, field_schema in properties.items():
# Skip credential fields
if field_name in credentials_fields:
continue
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,
}
)
return inputs_list
return get_inputs_from_schema(schema, exclude_fields=credentials_fields)

View File

@@ -223,6 +223,103 @@ async def get_or_create_library_agent(
return library_agents[0]
async def get_user_credentials(user_id: str) -> list:
"""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,
field_info: CredentialsFieldInfo,
check_scopes: bool = True,
):
"""Find a credential that matches the required provider, type, and optionally scopes."""
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 check_scopes and not _credential_has_required_scopes(cred, field_info):
continue
return cred
return None
def create_credential_meta_from_match(matching_cred) -> 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_credentials_to_requirements(
user_id: str,
requirements: dict[str, CredentialsFieldInfo],
check_scopes: bool = True,
) -> 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.
Args:
user_id: User ID to fetch credentials for
requirements: Dict mapping field names to CredentialsFieldInfo
check_scopes: Whether to verify OAuth2 scopes match requirements (default True).
Set to False to preserve original run_block behavior which didn't check scopes.
"""
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, check_scopes=check_scopes
)
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 match_user_credentials_to_graph(
user_id: str,
graph: GraphModel,

View File

@@ -531,12 +531,12 @@ class LLMResponse(BaseModel):
def convert_openai_tool_fmt_to_anthropic(
openai_tools: list[dict] | None = None,
) -> Iterable[ToolParam] | anthropic.Omit:
) -> Iterable[ToolParam] | anthropic.NotGiven:
"""
Convert OpenAI tool format to Anthropic tool format.
"""
if not openai_tools or len(openai_tools) == 0:
return anthropic.omit
return anthropic.NOT_GIVEN
anthropic_tools = []
for tool in openai_tools:

View File

@@ -1,8 +1,9 @@
import logging
import queue
from collections import defaultdict
from datetime import datetime, timedelta, timezone
from enum import Enum
from multiprocessing import Manager
from queue import Empty
from typing import (
TYPE_CHECKING,
Annotated,
@@ -1199,16 +1200,12 @@ class NodeExecutionEntry(BaseModel):
class ExecutionQueue(Generic[T]):
"""
Thread-safe queue for managing node execution within a single graph execution.
Note: Uses queue.Queue (not multiprocessing.Queue) since all access is from
threads within the same process. If migrating back to ProcessPoolExecutor,
replace with multiprocessing.Manager().Queue() for cross-process safety.
Queue for managing the execution of agents.
This will be shared between different processes
"""
def __init__(self):
# Thread-safe queue (not multiprocessing) — see class docstring
self.queue: queue.Queue[T] = queue.Queue()
self.queue = Manager().Queue()
def add(self, execution: T) -> T:
self.queue.put(execution)
@@ -1223,7 +1220,7 @@ class ExecutionQueue(Generic[T]):
def get_or_none(self) -> T | None:
try:
return self.queue.get_nowait()
except queue.Empty:
except Empty:
return None

View File

@@ -1,58 +0,0 @@
"""Tests for ExecutionQueue thread-safety."""
import queue
import threading
from backend.data.execution import ExecutionQueue
def test_execution_queue_uses_stdlib_queue():
"""Verify ExecutionQueue uses queue.Queue (not multiprocessing)."""
q = ExecutionQueue()
assert isinstance(q.queue, queue.Queue)
def test_basic_operations():
"""Test add, get, empty, and get_or_none."""
q = ExecutionQueue()
assert q.empty() is True
assert q.get_or_none() is None
result = q.add("item1")
assert result == "item1"
assert q.empty() is False
item = q.get()
assert item == "item1"
assert q.empty() is True
def test_thread_safety():
"""Test concurrent access from multiple threads."""
q = ExecutionQueue()
results = []
num_items = 100
def producer():
for i in range(num_items):
q.add(f"item_{i}")
def consumer():
count = 0
while count < num_items:
item = q.get_or_none()
if item is not None:
results.append(item)
count += 1
producer_thread = threading.Thread(target=producer)
consumer_thread = threading.Thread(target=consumer)
producer_thread.start()
consumer_thread.start()
producer_thread.join(timeout=5)
consumer_thread.join(timeout=5)
assert len(results) == num_items

View File

@@ -342,14 +342,6 @@ async def store_media_file(
if not target_path.is_file():
raise ValueError(f"Local file does not exist: {target_path}")
# Virus scan the local file before any further processing
local_content = target_path.read_bytes()
if len(local_content) > MAX_FILE_SIZE_BYTES:
raise ValueError(
f"File too large: {len(local_content)} bytes > {MAX_FILE_SIZE_BYTES} bytes"
)
await scan_content_safe(local_content, filename=sanitized_file)
# Return based on requested format
if return_format == "for_local_processing":
# Use when processing files locally with tools like ffmpeg, MoviePy, PIL

View File

@@ -247,100 +247,3 @@ class TestFileCloudIntegration:
execution_context=make_test_context(graph_exec_id=graph_exec_id),
return_format="for_local_processing",
)
@pytest.mark.asyncio
async def test_store_media_file_local_path_scanned(self):
"""Test that local file paths are scanned for viruses."""
graph_exec_id = "test-exec-123"
local_file = "test_video.mp4"
file_content = b"fake video content"
with patch(
"backend.util.file.get_cloud_storage_handler"
) as mock_handler_getter, patch(
"backend.util.file.scan_content_safe"
) as mock_scan, patch(
"backend.util.file.Path"
) as mock_path_class:
# Mock cloud storage handler - not a cloud path
mock_handler = MagicMock()
mock_handler.is_cloud_path.return_value = False
mock_handler_getter.return_value = mock_handler
# Mock virus scanner
mock_scan.return_value = None
# Mock file system operations
mock_base_path = MagicMock()
mock_target_path = MagicMock()
mock_resolved_path = MagicMock()
mock_path_class.return_value = mock_base_path
mock_base_path.mkdir = MagicMock()
mock_base_path.__truediv__ = MagicMock(return_value=mock_target_path)
mock_target_path.resolve.return_value = mock_resolved_path
mock_resolved_path.is_relative_to.return_value = True
mock_resolved_path.is_file.return_value = True
mock_resolved_path.read_bytes.return_value = file_content
mock_resolved_path.relative_to.return_value = Path(local_file)
mock_resolved_path.name = local_file
result = await store_media_file(
file=MediaFileType(local_file),
execution_context=make_test_context(graph_exec_id=graph_exec_id),
return_format="for_local_processing",
)
# Verify virus scan was called for local file
mock_scan.assert_called_once_with(file_content, filename=local_file)
# Result should be the relative path
assert str(result) == local_file
@pytest.mark.asyncio
async def test_store_media_file_local_path_virus_detected(self):
"""Test that infected local files raise VirusDetectedError."""
from backend.api.features.store.exceptions import VirusDetectedError
graph_exec_id = "test-exec-123"
local_file = "infected.exe"
file_content = b"malicious content"
with patch(
"backend.util.file.get_cloud_storage_handler"
) as mock_handler_getter, patch(
"backend.util.file.scan_content_safe"
) as mock_scan, patch(
"backend.util.file.Path"
) as mock_path_class:
# Mock cloud storage handler - not a cloud path
mock_handler = MagicMock()
mock_handler.is_cloud_path.return_value = False
mock_handler_getter.return_value = mock_handler
# Mock virus scanner to detect virus
mock_scan.side_effect = VirusDetectedError(
"EICAR-Test-File", "File rejected due to virus detection"
)
# Mock file system operations
mock_base_path = MagicMock()
mock_target_path = MagicMock()
mock_resolved_path = MagicMock()
mock_path_class.return_value = mock_base_path
mock_base_path.mkdir = MagicMock()
mock_base_path.__truediv__ = MagicMock(return_value=mock_target_path)
mock_target_path.resolve.return_value = mock_resolved_path
mock_resolved_path.is_relative_to.return_value = True
mock_resolved_path.is_file.return_value = True
mock_resolved_path.read_bytes.return_value = file_content
with pytest.raises(VirusDetectedError):
await store_media_file(
file=MediaFileType(local_file),
execution_context=make_test_context(graph_exec_id=graph_exec_id),
return_format="for_local_processing",
)

View File

@@ -0,0 +1,16 @@
"""Validation utilities."""
import re
_UUID_V4_PATTERN = re.compile(
r"[a-f0-9]{8}-[a-f0-9]{4}-4[a-f0-9]{3}-[89ab][a-f0-9]{3}-[a-f0-9]{12}",
re.IGNORECASE,
)
def is_uuid_v4(text: str) -> bool:
return bool(_UUID_V4_PATTERN.fullmatch(text.strip()))
def extract_uuids(text: str) -> list[str]:
return sorted({m.lower() for m in _UUID_V4_PATTERN.findall(text)})

View File

@@ -269,20 +269,19 @@ files = [
[[package]]
name = "anthropic"
version = "0.79.0"
version = "0.59.0"
description = "The official Python library for the anthropic API"
optional = false
python-versions = ">=3.9"
python-versions = ">=3.8"
groups = ["main"]
files = [
{file = "anthropic-0.79.0-py3-none-any.whl", hash = "sha256:04cbd473b6bbda4ca2e41dd670fe2f829a911530f01697d0a1e37321eb75f3cf"},
{file = "anthropic-0.79.0.tar.gz", hash = "sha256:8707aafb3b1176ed6c13e2b1c9fb3efddce90d17aee5d8b83a86c70dcdcca871"},
{file = "anthropic-0.59.0-py3-none-any.whl", hash = "sha256:cbc8b3dccef66ad6435c4fa1d317e5ebb092399a4b88b33a09dc4bf3944c3183"},
{file = "anthropic-0.59.0.tar.gz", hash = "sha256:d710d1ef0547ebbb64b03f219e44ba078e83fc83752b96a9b22e9726b523fd8f"},
]
[package.dependencies]
anyio = ">=3.5.0,<5"
distro = ">=1.7.0,<2"
docstring-parser = ">=0.15,<1"
httpx = ">=0.25.0,<1"
jiter = ">=0.4.0,<1"
pydantic = ">=1.9.0,<3"
@@ -290,7 +289,7 @@ sniffio = "*"
typing-extensions = ">=4.10,<5"
[package.extras]
aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.9)"]
aiohttp = ["aiohttp", "httpx-aiohttp (>=0.1.8)"]
bedrock = ["boto3 (>=1.28.57)", "botocore (>=1.31.57)"]
vertex = ["google-auth[requests] (>=2,<3)"]
@@ -439,7 +438,7 @@ develop = true
[package.dependencies]
colorama = "^0.4.6"
cryptography = "^46.0"
cryptography = "^45.0"
expiringdict = "^1.2.2"
fastapi = "^0.128.0"
google-cloud-logging = "^3.13.0"
@@ -971,75 +970,62 @@ pytz = ">2021.1"
[[package]]
name = "cryptography"
version = "46.0.4"
version = "45.0.7"
description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
optional = false
python-versions = "!=3.9.0,!=3.9.1,>=3.8"
python-versions = "!=3.9.0,!=3.9.1,>=3.7"
groups = ["main"]
files = [
{file = "cryptography-46.0.4-cp311-abi3-macosx_10_9_universal2.whl", hash = "sha256:281526e865ed4166009e235afadf3a4c4cba6056f99336a99efba65336fd5485"},
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{file = "cryptography-46.0.4-cp311-abi3-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:47bcd19517e6389132f76e2d5303ded6cf3f78903da2158a671be8de024f4cd0"},
{file = "cryptography-46.0.4-cp311-abi3-manylinux_2_28_aarch64.whl", hash = "sha256:01df4f50f314fbe7009f54046e908d1754f19d0c6d3070df1e6268c5a4af09fa"},
{file = "cryptography-46.0.4-cp311-abi3-manylinux_2_28_ppc64le.whl", hash = "sha256:5aa3e463596b0087b3da0dbe2b2487e9fc261d25da85754e30e3b40637d61f81"},
{file = "cryptography-46.0.4-cp311-abi3-manylinux_2_28_x86_64.whl", hash = "sha256:0a9ad24359fee86f131836a9ac3bffc9329e956624a2d379b613f8f8abaf5255"},
{file = "cryptography-46.0.4-cp311-abi3-manylinux_2_31_armv7l.whl", hash = "sha256:dc1272e25ef673efe72f2096e92ae39dea1a1a450dd44918b15351f72c5a168e"},
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{file = "cryptography-46.0.4-cp311-abi3-win_amd64.whl", hash = "sha256:6225d3ebe26a55dbc8ead5ad1265c0403552a63336499564675b29eb3184c09b"},
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]
[package.dependencies]
@@ -8440,4 +8382,4 @@ cffi = ["cffi (>=1.17,<2.0) ; platform_python_implementation != \"PyPy\" and pyt
[metadata]
lock-version = "2.1"
python-versions = ">=3.10,<3.14"
content-hash = "14686ee0e2dc446a75d0db145b08dc410dc31c357e25085bb0f9b0174711c4b1"
content-hash = "40b2c87c3c86bd10214bd30ad291cead75da5060ab894105025ee4c0a3b3828e"

View File

@@ -12,16 +12,16 @@ python = ">=3.10,<3.14"
aio-pika = "^9.5.5"
aiohttp = "^3.10.0"
aiodns = "^3.5.0"
anthropic = "^0.79.0"
anthropic = "^0.59.0"
apscheduler = "^3.11.1"
autogpt-libs = { path = "../autogpt_libs", develop = true }
bleach = { extras = ["css"], version = "^6.2.0" }
click = "^8.2.0"
cryptography = "^46.0"
cryptography = "^45.0"
discord-py = "^2.5.2"
e2b-code-interpreter = "^1.5.2"
elevenlabs = "^1.50.0"
fastapi = "^0.128.5"
fastapi = "^0.128.0"
feedparser = "^6.0.11"
flake8 = "^7.3.0"
google-api-python-client = "^2.177.0"
@@ -38,7 +38,7 @@ langfuse = "^3.11.0"
launchdarkly-server-sdk = "^9.14.1"
mem0ai = "^0.1.115"
moviepy = "^2.1.2"
ollama = "^0.6.1"
ollama = "^0.5.1"
openai = "^1.97.1"
orjson = "^3.10.0"
pika = "^1.3.2"
@@ -48,7 +48,7 @@ postmarker = "^1.0"
praw = "~7.8.1"
prisma = "^0.15.0"
rank-bm25 = "^0.2.2"
prometheus-client = "^0.24.1"
prometheus-client = "^0.22.1"
prometheus-fastapi-instrumentator = "^7.0.0"
psutil = "^7.0.0"
psycopg2-binary = "^2.9.10"
@@ -57,7 +57,7 @@ pydantic-settings = "^2.12.0"
pytest = "^8.4.1"
pytest-asyncio = "^1.1.0"
python-dotenv = "^1.1.1"
python-multipart = "^0.0.22"
python-multipart = "^0.0.20"
redis = "^6.2.0"
regex = "^2025.9.18"
replicate = "^1.0.6"
@@ -65,8 +65,8 @@ sentry-sdk = {extras = ["anthropic", "fastapi", "launchdarkly", "openai", "sqlal
sqlalchemy = "^2.0.40"
strenum = "^0.4.9"
stripe = "^11.5.0"
supabase = "2.27.3"
tenacity = "^9.1.4"
supabase = "2.27.2"
tenacity = "^9.1.2"
todoist-api-python = "^2.1.7"
tweepy = "^4.16.0"
uvicorn = { extras = ["standard"], version = "^0.40.0" }
@@ -77,7 +77,7 @@ zerobouncesdk = "^1.1.2"
# NOTE: please insert new dependencies in their alphabetical location
pytest-snapshot = "^0.9.0"
aiofiles = "^24.1.0"
tiktoken = "^0.12.0"
tiktoken = "^0.9.0"
aioclamd = "^1.0.0"
setuptools = "^80.9.0"
gcloud-aio-storage = "^9.5.0"
@@ -95,13 +95,13 @@ black = "^24.10.0"
faker = "^38.2.0"
httpx = "^0.28.1"
isort = "^5.13.2"
poethepoet = "^0.41.0"
poethepoet = "^0.37.0"
pre-commit = "^4.4.0"
pyright = "^1.1.407"
pytest-mock = "^3.15.1"
pytest-watcher = "^0.6.3"
pytest-watcher = "^0.4.2"
requests = "^2.32.5"
ruff = "^0.15.0"
ruff = "^0.14.5"
# NOTE: please insert new dependencies in their alphabetical location
[build-system]

View File

@@ -102,7 +102,7 @@
"react-markdown": "9.0.3",
"react-modal": "3.16.3",
"react-shepherd": "6.1.9",
"react-window": "2.2.0",
"react-window": "1.8.11",
"recharts": "3.3.0",
"rehype-autolink-headings": "7.1.0",
"rehype-highlight": "7.0.2",
@@ -140,7 +140,7 @@
"@types/react": "18.3.17",
"@types/react-dom": "18.3.5",
"@types/react-modal": "3.16.3",
"@types/react-window": "2.0.0",
"@types/react-window": "1.8.8",
"@vitejs/plugin-react": "5.1.2",
"axe-playwright": "2.2.2",
"chromatic": "13.3.3",

View File

@@ -228,8 +228,8 @@ importers:
specifier: 6.1.9
version: 6.1.9(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(typescript@5.9.3)
react-window:
specifier: 2.2.0
version: 2.2.0(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
specifier: 1.8.11
version: 1.8.11(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
recharts:
specifier: 3.3.0
version: 3.3.0(@types/react@18.3.17)(react-dom@18.3.1(react@18.3.1))(react-is@18.3.1)(react@18.3.1)(redux@5.0.1)
@@ -337,8 +337,8 @@ importers:
specifier: 3.16.3
version: 3.16.3
'@types/react-window':
specifier: 2.0.0
version: 2.0.0(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
specifier: 1.8.8
version: 1.8.8
'@vitejs/plugin-react':
specifier: 5.1.2
version: 5.1.2(vite@7.3.1(@types/node@24.10.0)(jiti@2.6.1)(terser@5.44.1)(yaml@2.8.2))
@@ -3469,9 +3469,8 @@ packages:
'@types/react-modal@3.16.3':
resolution: {integrity: sha512-xXuGavyEGaFQDgBv4UVm8/ZsG+qxeQ7f77yNrW3n+1J6XAstUy5rYHeIHPh1KzsGc6IkCIdu6lQ2xWzu1jBTLg==}
'@types/react-window@2.0.0':
resolution: {integrity: sha512-E8hMDtImEpMk1SjswSvqoSmYvk7GEtyVaTa/GJV++FdDNuMVVEzpAClyJ0nqeKYBrMkGiyH6M1+rPLM0Nu1exQ==}
deprecated: This is a stub types definition. react-window provides its own type definitions, so you do not need this installed.
'@types/react-window@1.8.8':
resolution: {integrity: sha512-8Ls660bHR1AUA2kuRvVG9D/4XpRC6wjAaPT9dil7Ckc76eP9TKWZwwmgfq8Q1LANX3QNDnoU4Zp48A3w+zK69Q==}
'@types/react@18.3.17':
resolution: {integrity: sha512-opAQ5no6LqJNo9TqnxBKsgnkIYHozW9KSTlFVoSUJYh1Fl/sswkEoqIugRSm7tbh6pABtYjGAjW+GOS23j8qbw==}
@@ -5977,6 +5976,9 @@ packages:
resolution: {integrity: sha512-UERzLsxzllchadvbPs5aolHh65ISpKpM+ccLbOJ8/vvpBKmAWf+la7dXFy7Mr0ySHbdHrFv5kGFCUHHe6GFEmw==}
engines: {node: '>= 4.0.0'}
memoize-one@5.2.1:
resolution: {integrity: sha512-zYiwtZUcYyXKo/np96AGZAckk+FWWsUdJ3cHGGmld7+AhvcWmQyGCYUh1hc4Q/pkOhb65dQR/pqCyK0cOaHz4Q==}
merge-stream@2.0.0:
resolution: {integrity: sha512-abv/qOcuPfk3URPfDzmZU1LKmuw8kT+0nIHvKrKgFrwifol/doWcdA4ZqsWQ8ENrFKkd67Mfpo/LovbIUsbt3w==}
@@ -6889,11 +6891,12 @@ packages:
'@types/react':
optional: true
react-window@2.2.0:
resolution: {integrity: sha512-Y2L7yonHq6K1pQA2P98wT5QdIsEcjBTB7T8o6Mub12hH9eYppXoYu6vgClmcjlh3zfNcW2UrXiJJJqDxUY7GVw==}
react-window@1.8.11:
resolution: {integrity: sha512-+SRbUVT2scadgFSWx+R1P754xHPEqvcfSfVX10QYg6POOz+WNgkN48pS+BtZNIMGiL1HYrSEiCkwsMS15QogEQ==}
engines: {node: '>8.0.0'}
peerDependencies:
react: ^18.0.0 || ^19.0.0
react-dom: ^18.0.0 || ^19.0.0
react: ^15.0.0 || ^16.0.0 || ^17.0.0 || ^18.0.0 || ^19.0.0
react-dom: ^15.0.0 || ^16.0.0 || ^17.0.0 || ^18.0.0 || ^19.0.0
react@18.3.1:
resolution: {integrity: sha512-wS+hAgJShR0KhEvPJArfuPVN1+Hz1t0Y6n5jLrGQbkb4urgPE/0Rve+1kMB1v/oWgHgm4WIcV+i7F2pTVj+2iQ==}
@@ -11600,12 +11603,9 @@ snapshots:
dependencies:
'@types/react': 18.3.17
'@types/react-window@2.0.0(react-dom@18.3.1(react@18.3.1))(react@18.3.1)':
'@types/react-window@1.8.8':
dependencies:
react-window: 2.2.0(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
transitivePeerDependencies:
- react
- react-dom
'@types/react': 18.3.17
'@types/react@18.3.17':
dependencies:
@@ -14545,6 +14545,8 @@ snapshots:
dependencies:
fs-monkey: 1.1.0
memoize-one@5.2.1: {}
merge-stream@2.0.0: {}
merge2@1.4.1: {}
@@ -15590,8 +15592,10 @@ snapshots:
optionalDependencies:
'@types/react': 18.3.17
react-window@2.2.0(react-dom@18.3.1(react@18.3.1))(react@18.3.1):
react-window@1.8.11(react-dom@18.3.1(react@18.3.1))(react@18.3.1):
dependencies:
'@babel/runtime': 7.28.4
memoize-one: 5.2.1
react: 18.3.1
react-dom: 18.3.1(react@18.3.1)

View File

@@ -4,7 +4,7 @@ import { Button } from "@/components/atoms/Button/Button";
import { Input } from "@/components/atoms/Input/Input";
import { Text } from "@/components/atoms/Text/Text";
import { Bell, MagnifyingGlass, X } from "@phosphor-icons/react";
import { List, type RowComponentProps } from "react-window";
import { FixedSizeList as List } from "react-window";
import { AgentExecutionWithInfo } from "../../helpers";
import { ActivityItem } from "../ActivityItem";
import styles from "./styles.module.css";
@@ -19,16 +19,14 @@ interface Props {
recentFailures: AgentExecutionWithInfo[];
}
interface ActivityRowProps {
executions: AgentExecutionWithInfo[];
interface VirtualizedItemProps {
index: number;
style: React.CSSProperties;
data: AgentExecutionWithInfo[];
}
function VirtualizedActivityItem({
index,
style,
executions,
}: RowComponentProps<ActivityRowProps>) {
const execution = executions[index];
function VirtualizedActivityItem({ index, style, data }: VirtualizedItemProps) {
const execution = data[index];
return (
<div style={style}>
<ActivityItem execution={execution} />
@@ -131,13 +129,14 @@ export function ActivityDropdown({
>
{filteredExecutions.length > 0 ? (
<List
defaultHeight={listHeight}
rowCount={filteredExecutions.length}
rowHeight={itemHeight}
rowProps={{ executions: filteredExecutions }}
rowComponent={VirtualizedActivityItem}
style={{ width: 320, height: listHeight }}
/>
height={listHeight}
width={320} // Match dropdown width (w-80 = 20rem = 320px)
itemCount={filteredExecutions.length}
itemSize={itemHeight}
itemData={filteredExecutions}
>
{VirtualizedActivityItem}
</List>
) : (
<div className="flex h-full flex-col items-center justify-center gap-5 pb-8 pt-6">
<div className="mx-auto inline-flex flex-col items-center justify-center rounded-full bg-bgLightGrey p-6">