The generated API functions return discriminated union types (success |
error). Add status checks to narrow the type before accessing
success-specific fields, and convert null to undefined for
CredentialsMetaResponse compatibility.
Replace manual BackendAPI.mcpDiscoverTools, mcpOAuthLogin, and
mcpOAuthCallback methods with Orval-generated functions from
__generated__/endpoints/mcp/mcp.ts. Remove manual MCPTool and
MCPDiscoverToolsResponse types from types.ts in favor of generated
MCPToolResponse and DiscoverToolsResponse models.
- Remove legacy-builder changes: revert BlocksControl.tsx, CustomNode.tsx,
and Flow.tsx to dev state
- Move MCPToolDialog.tsx from legacy-builder/ to components/ and update
import path in NewControlPanel/NewBlockMenu/Block.tsx
- Revert out-of-scope CredentialsSelect auto-defaulting behavior
- Remove `as any` cast in CredentialsInput.tsx display name
Resolve conflict in backend/data/block.py caused by the circular
import refactor (113e87a23) that moved Block classes to
backend/blocks/_base.py. Added MCP_TOOL enum member to BlockType in
its new location and updated mcp/block.py imports accordingly.
### Changes 🏗️
Removed the default expiration date for API keys in the credentials
modal. Previously, API keys were set to expire the next day by default,
but now the expiration date field starts empty, allowing users to
explicitly choose whether they want to set an expiration date.
### 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:
- [x] Open the API key credentials modal and verify the expiration date
field is empty by default
- [x] Test creating an API key with and without an expiration date
- [x] Verify both scenarios work correctly
<!-- greptile_comment -->
<h2>Greptile Overview</h2>
<details><summary><h3>Greptile Summary</h3></summary>
Removed the default expiration date for API key credentials in the
credentials modal. Previously, API keys were automatically set to expire
the next day at midnight. Now the expiration date field starts empty,
allowing users to explicitly choose whether to set an expiration.
- Removed `getDefaultExpirationDate()` helper function that calculated
tomorrow's date
- Changed default `expiresAt` value from calculated date to empty string
- Backend already supports optional expiration (`expires_at?: number`),
so no backend changes needed
- Form submission correctly handles empty expiration by passing
`undefined` to the API
</details>
<details><summary><h3>Confidence Score: 5/5</h3></summary>
- This PR is safe to merge with minimal risk
- The changes are straightforward and well-contained. The refactor
removes a helper function and changes a default value. The backend API
already supports optional expiration dates, and the form submission
logic correctly handles empty values by passing undefined. The change
improves UX by not forcing a default expiration date on users.
- No files require special attention
</details>
<!-- greptile_other_comments_section -->
<!-- /greptile_comment -->
## Summary
Removes the `min-h-screen` class from `ConversationContent` in
ChatMessagesContainer, which was causing fixed height layout issues in
the CoPilot chat interface.
## Changes
- Removed `min-h-screen` from ConversationContent className
## Linear
Fixes [SECRT-1944](https://linear.app/autogpt/issue/SECRT-1944)
<!-- greptile_comment -->
<h2>Greptile Overview</h2>
<details><summary><h3>Greptile Summary</h3></summary>
Removes the `min-h-screen` (100vh) class from `ConversationContent` that
was causing the chat message container to enforce a minimum viewport
height. The parent container already handles height constraints with
`h-full min-h-0` and flexbox layout, so the fixed minimum height was
creating layout conflicts. The component now properly grows within its
flex container using `flex-1`.
</details>
<details><summary><h3>Confidence Score: 5/5</h3></summary>
- This PR is safe to merge with minimal risk
- The change removes a single problematic CSS class that was causing
fixed height layout issues. The parent container already handles height
constraints properly with flexbox, and removing min-h-screen allows the
component to size correctly within its flex parent. This is a targeted,
low-risk bug fix with no logic changes.
- No files require special attention
</details>
<!-- greptile_other_comments_section -->
<!-- /greptile_comment -->
I'm getting circular import issues because there is a lot of
cross-importing between `backend.data`, `backend.blocks`, and other
modules. This change reduces block-related cross-imports and thus risk
of breaking circular imports.
### Changes 🏗️
- Strip down `backend.data.block`
- Move `Block` base class and related class/enum defs to
`backend.blocks._base`
- Move `is_block_auth_configured` to `backend.blocks._utils`
- Move `get_blocks()`, `get_io_block_ids()` etc. to `backend.blocks`
(`__init__.py`)
- Update imports everywhere
- Remove unused and poorly typed `Block.create()`
- Change usages from `block_cls.create()` to `block_cls()`
- Improve typing of `load_all_blocks` and `get_blocks`
- Move cross-import of `backend.api.features.library.model` from
`backend/data/__init__.py` to `backend/data/integrations.py`
- Remove deprecated attribute `NodeModel.webhook`
- Re-generate OpenAPI spec and fix frontend usage
- Eliminate module-level `backend.blocks` import from `blocks/agent.py`
- Eliminate module-level `backend.data.execution` and
`backend.executor.manager` imports from `blocks/helpers/review.py`
- Replace `BlockInput` with `GraphInput` for graph inputs
### 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 static type-checking + tests should be sufficient for this
(#12081)
### Changes 🏗️
This PR completes the migration from the legacy builder to the new Flow
editor by removing all legacy code and feature flags.
**Removed:**
- Old builder view toggle functionality (`BuilderViewTabs.tsx`)
- Legacy debug panel (`RightSidebar.tsx`)
- Feature flags: `NEW_FLOW_EDITOR` and `BUILDER_VIEW_SWITCH`
- `useBuilderView` hook and related view-switching logic
**Updated:**
- Simplified `build/page.tsx` to always render the new Flow editor
- Added CSS styling (`flow.css`) to properly render Phosphor icons in
React Flow handles
**Tests:**
- Skipped e2e test suite in `build.spec.ts` (legacy builder tests)
- Follow-up PR (#12082) will add new e2e tests for the Flow editor
### 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:
- [x] Create a new flow and verify it loads correctly
- [x] Add nodes and connections to verify basic functionality works
- [x] Verify that node handles render correctly with the new CSS
- [x] Check that the UI is clean without the old debug panel or view
toggles
#### 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
## Summary
- When the copilot model responds with both text content AND a
long-running tool call (e.g., `create_agent`), the streaming code
created two separate consecutive assistant messages — one with text, one
with `tool_calls`. This caused Anthropic's API to reject with
`"unexpected tool_use_id found in tool_result blocks"` because the
`tool_result` couldn't find a matching `tool_use` in the immediately
preceding assistant message.
- Added a defensive merge of consecutive assistant messages in
`to_openai_messages()` (fixes existing corrupt sessions too)
- Fixed `_yield_tool_call` to add tool_calls to the existing
current-turn assistant message instead of creating a new one
- Changed `accumulated_tool_calls` assignment to use `extend` to prevent
overwriting tool_calls added by long-running tool flow
## Test plan
- [x] All 23 chat feature tests pass (`backend/api/features/chat/`)
- [x] All 44 prompt utility tests pass (`backend/util/prompt_test.py`)
- [x] All pre-commit hooks pass (ruff, isort, black, pyright)
- [ ] Manual test: create an agent via copilot, then ask a follow-up
question — should no longer get 400 error
<!-- greptile_comment -->
<h2>Greptile Overview</h2>
<details><summary><h3>Greptile Summary</h3></summary>
Fixes a critical bug where long-running tool calls (like `create_agent`)
caused Anthropic API 400 errors due to split assistant messages. The fix
ensures tool calls are added to the existing assistant message instead
of creating new ones, and adds a defensive merge function to repair any
existing corrupt sessions.
**Key changes:**
- Added `_merge_consecutive_assistant_messages()` to defensively merge
split assistant messages in `to_openai_messages()`
- Modified `_yield_tool_call()` to append tool calls to the current-turn
assistant message instead of creating a new one
- Changed `accumulated_tool_calls` from assignment to `extend` to
preserve tool calls already added by long-running tool flow
**Impact:** Resolves the issue where users received 400 errors after
creating agents via copilot and asking follow-up questions.
</details>
<details><summary><h3>Confidence Score: 4/5</h3></summary>
- Safe to merge with minor verification recommended
- The changes are well-targeted and solve a real API compatibility
issue. The logic is sound: searching backwards for the current assistant
message is correct, and using `extend` instead of assignment prevents
overwriting. The defensive merge in `to_openai_messages()` also fixes
existing corrupt sessions. All existing tests pass according to the PR
description.
- No files require special attention - changes are localized and
defensive
</details>
<details><summary><h3>Sequence Diagram</h3></summary>
```mermaid
sequenceDiagram
participant User
participant StreamAPI as stream_chat_completion
participant Chunks as _stream_chat_chunks
participant ToolCall as _yield_tool_call
participant Session as ChatSession
User->>StreamAPI: Send message
StreamAPI->>Chunks: Stream chat chunks
alt Text + Long-running tool call
Chunks->>StreamAPI: Text delta (content)
StreamAPI->>Session: Append assistant message with content
Chunks->>ToolCall: Tool call detected
Note over ToolCall: OLD: Created new assistant message<br/>NEW: Appends to existing assistant
ToolCall->>Session: Search backwards for current assistant
ToolCall->>Session: Append tool_call to existing message
ToolCall->>Session: Add pending tool result
end
StreamAPI->>StreamAPI: Merge accumulated_tool_calls
Note over StreamAPI: Use extend (not assign)<br/>to preserve existing tool_calls
StreamAPI->>Session: to_openai_messages()
Session->>Session: _merge_consecutive_assistant_messages()
Note over Session: Defensive: Merges any split<br/>assistant messages
Session-->>StreamAPI: Merged messages
StreamAPI->>User: Return response
```
</details>
<!-- greptile_other_comments_section -->
<!-- /greptile_comment -->
## Problem
The agent builder (LLM) misinterprets the HumanInTheLoop block outputs.
It thinks `approved_data` and `rejected_data` will yield status strings
like "APPROVED" or "REJECTED" instead of understanding that the actual
input data passes through.
This leads to unnecessary complexity - the agent builder adds comparison
blocks to check for status strings that don't exist.
## Solution
Enriched the block docstring and all input/output field descriptions to
make it explicit that:
1. The output is the actual data itself, not a status string
2. The routing is determined by which output pin fires
3. How to use the block correctly (connect downstream blocks to
appropriate output pins)
## Changes
- Updated block docstring with clear "How it works" and "Example usage"
sections
- Enhanced `data` input description to explain data flow
- Enhanced `name` input description for reviewer context
- Enhanced `approved_data` output to explicitly state it's NOT a status
string
- Enhanced `rejected_data` output to explicitly state it's NOT a status
string
- Enhanced `review_message` output for clarity
## Testing
Documentation-only change to schema descriptions. No functional changes.
Fixes SECRT-1930
<!-- greptile_comment -->
<h2>Greptile Overview</h2>
<details><summary><h3>Greptile Summary</h3></summary>
Enhanced documentation for the `HumanInTheLoopBlock` to clarify how
output pins work. The key improvement explicitly states that output pins
(`approved_data` and `rejected_data`) yield the actual input data, not
status strings like "APPROVED" or "REJECTED". This prevents the agent
builder (LLM) from misinterpreting the block's behavior and adding
unnecessary comparison blocks.
**Key changes:**
- Added "How it works" and "Example usage" sections to the block
docstring
- Clarified that routing is determined by which output pin fires, not by
comparing output values
- Enhanced all input/output field descriptions with explicit data flow
explanations
- Emphasized that downstream blocks should be connected to the
appropriate output pin based on desired workflow path
This is a documentation-only change with no functional modifications to
the code logic.
</details>
<details><summary><h3>Confidence Score: 5/5</h3></summary>
- This PR is safe to merge with no risk
- Documentation-only change that accurately reflects the existing code
behavior. No functional changes, no runtime impact, and the enhanced
descriptions correctly explain how the block outputs work based on
verification of the implementation code.
- No files require special attention
</details>
<!-- greptile_other_comments_section -->
<!-- /greptile_comment -->
Co-authored-by: Zamil Majdy <zamil.majdy@agpt.co>
## Changes 🏗️
<img width="800" height="621" alt="Screenshot 2026-02-11 at 19 32 39"
src="https://github.com/user-attachments/assets/e97be1a7-972e-4ae0-8dfa-6ade63cf287b"
/>
When the BE API has an error, prevent it from leaking into the stream
and instead handle it gracefully via toast.
## 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:
- [x] Run the app locally and trust the changes
<!-- greptile_comment -->
<h2>Greptile Overview</h2>
<details><summary><h3>Greptile Summary</h3></summary>
This PR fixes an issue where backend API stream errors were leaking into
the chat prompt instead of being handled gracefully. The fix involves
both backend and frontend changes to ensure error events conform to the
AI SDK's strict schema.
**Key Changes:**
- **Backend (`response_model.py`)**: Added custom `to_sse()` method for
`StreamError` that only emits `type` and `errorText` fields, stripping
extra fields like `code` and `details` that cause AI SDK validation
failures
- **Backend (`prompt.py`)**: Added validation step after context
compression to remove orphaned tool responses without matching tool
calls, preventing "unexpected tool_use_id" API errors
- **Frontend (`route.ts`)**: Implemented SSE stream normalization with
`normalizeSSEStream()` and `normalizeSSEEvent()` functions to strip
non-conforming fields from error events before they reach the AI SDK
- **Frontend (`ChatMessagesContainer.tsx`)**: Added toast notifications
for errors and improved error display UI with deduplication logic
The changes ensure a clean separation between internal error metadata
(useful for logging/debugging) and the strict schema required by the AI
SDK on the frontend.
</details>
<details><summary><h3>Confidence Score: 4/5</h3></summary>
- This PR is safe to merge with low risk
- The changes are well-structured and address a specific bug with proper
error handling. The dual-layer approach (backend filtering in `to_sse()`
+ frontend normalization) provides defense-in-depth. However, the lack
of automated tests for the new error normalization logic and the
potential for edge cases in SSE parsing prevent a perfect score.
- Pay close attention to
`autogpt_platform/frontend/src/app/api/chat/sessions/[sessionId]/stream/route.ts`
- the SSE normalization logic should be tested with various error
scenarios
</details>
<details><summary><h3>Sequence Diagram</h3></summary>
```mermaid
sequenceDiagram
participant User
participant Frontend as ChatMessagesContainer
participant Proxy as /api/chat/.../stream
participant Backend as Backend API
participant AISDK as AI SDK
User->>Frontend: Send message
Frontend->>Proxy: POST with message
Proxy->>Backend: Forward request with auth
Backend->>Backend: Process message
alt Success Path
Backend->>Proxy: SSE stream (text-delta, etc.)
Proxy->>Proxy: normalizeSSEStream (pass through)
Proxy->>AISDK: Forward SSE events
AISDK->>Frontend: Update messages
Frontend->>User: Display response
else Error Path
Backend->>Backend: StreamError.to_sse()
Note over Backend: Only emit {type, errorText}
Backend->>Proxy: SSE error event
Proxy->>Proxy: normalizeSSEEvent()
Note over Proxy: Strip extra fields (code, details)
Proxy->>AISDK: {type: "error", errorText: "..."}
AISDK->>Frontend: error state updated
Frontend->>Frontend: Toast notification (deduplicated)
Frontend->>User: Show error UI + toast
end
```
</details>
<!-- greptile_other_comments_section -->
<!-- /greptile_comment -->
---------
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Co-authored-by: Otto-AGPT <otto@agpt.co>
### Changes 🏗️
Added `min-w-0` class to the ContentCard component in the ToolAccordion
to prevent content overflow issues. This CSS fix ensures that the card
properly respects its container width constraints and allows text
truncation to work correctly when content is too wide.
### 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:
- [x] Verified that tool content displays correctly in the accordion
- [x] Confirmed that long content properly truncates instead of
overflowing
- [x] Tested with various screen sizes to ensure responsive behavior
#### 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
<!-- greptile_comment -->
<h2>Greptile Overview</h2>
<details><summary><h3>Greptile Summary</h3></summary>
Added `min-w-0` class to `ContentCard` component to fix text truncation
overflow in grid layouts. This is a standard CSS fix that allows grid
items to shrink below their content size, enabling `truncate` classes on
child elements (`ContentCardTitle`, `ContentCardSubtitle`) to work
correctly. The fix follows the same pattern already used in
`ContentCardHeader` (line 54) and `ToolAccordion` (line 54).
</details>
<details><summary><h3>Confidence Score: 5/5</h3></summary>
- Safe to merge with no risk
- Single-line CSS fix that addresses a well-known flexbox/grid layout
issue. The change follows existing patterns in the codebase and is
thoroughly tested. No logic changes, no breaking changes, no side
effects.
- No files require special attention
</details>
<!-- greptile_other_comments_section -->
<!-- /greptile_comment -->
## Summary
Blocks marked `disabled=True` (like BlockInstallationBlock) were not
being checked during graph validation, allowing them to be used via
direct API calls despite being hidden from the UI.
This adds a security check in `_validate_graph_get_errors()` to reject
any graph containing disabled blocks.
## Security Advisory
GHSA-4crw-9p35-9x54
## Linear
SECRT-1927
## Changes
- Added `block.disabled` check in graph validation (6 lines)
## Testing
- Graphs with disabled blocks → rejected with clear error message
- Graphs with valid blocks → unchanged behavior
<!-- greptile_comment -->
<h2>Greptile Overview</h2>
<details><summary><h3>Greptile Summary</h3></summary>
Adds critical security validation to prevent execution of disabled
blocks (like `BlockInstallationBlock`) via direct API calls. The fix
validates that `block.disabled` is `False` during graph validation in
`_validate_graph_get_errors()` on line 747-750, ensuring disabled blocks
are rejected before graph creation or execution. This closes a
vulnerability where blocks marked disabled in the UI could still be used
through API endpoints.
</details>
<details><summary><h3>Confidence Score: 5/5</h3></summary>
- This PR is safe to merge and addresses a critical security
vulnerability
- The fix is minimal (6 lines), correctly placed in the validation flow,
includes clear security context (GHSA reference), and follows existing
validation patterns. The check is positioned after block existence
validation and before input validation, ensuring disabled blocks are
caught early in both graph creation and execution paths.
- No files require special attention
</details>
<!-- greptile_other_comments_section -->
<!-- /greptile_comment -->
---------
Co-authored-by: Nicholas Tindle <nicholas.tindle@agpt.co>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Let credential lookup errors propagate in discover_tools endpoint
instead of silently catching all exceptions. Upgrade block.py
auto-lookup logging from debug to warning. Update tests to mock
creds_manager so they don't hit the database.
Add MCP_TOOL to backend BlockType enum and frontend BlockUIType enum,
matching the existing pattern used by AGENT blocks. Replace all
SpecialBlockID.MCP_TOOL type-checks with uiType-based checks.
When a configured credential is deleted, set input_data to None (consistent
with the "no credentials" path at line 279) instead of the field's raw
default value ({}), which would fail CredentialsMetaInput validation.
Replace fastapi.testclient.TestClient with httpx.AsyncClient + ASGITransport.
TestClient creates a new anyio blocking portal per request. When 11+ portals
are created and destroyed in a session that also has pytest-asyncio session-scoped
async fixtures, the session event loop gets corrupted, causing
"RuntimeError: Event loop is closed" in subsequent async tests.
AsyncClient with ASGITransport runs the ASGI app directly in the current
event loop without creating blocking portals.
Drop the broad `except Exception` catch-and-reraise-as-HTTPException
blocks. Keep only the meaningful error handlers (HTTPClientError for
401/403, MCPClientError for 502). Unhandled exceptions now propagate
naturally to FastAPI's default 500 handler.
The MCP conftest.py with pytest hooks (pytest_addoption,
pytest_collection_modifyitems) was disrupting pytest-asyncio's session
event loop lifecycle, causing the SpinTestServer to be torn down before
session-scoped oauth tests could run.
Replace the conftest-based e2e gating with a simple pytestmark skipif
in the test file itself.
The entire merged input_data dict (containing server_url, credentials,
selected_tool, etc.) was being assigned to tool_arguments instead of
just the tool_arguments sub-dict. This would cause validation failures
or MCP server rejections.
### Changes
- Removed `defaultExpanded` prop from `ToolAccordion` in CreateAgent,
EditAgent, RunAgent, and RunBlock components to streamline the code and
improve readability.
### Impact
- This refactor enhances maintainability by reducing complexity in the
component structure while preserving existing functionality.
### Changes 🏗️
- Removed conditional expansion logic from all tool components
- Simplified ToolAccordion implementation across all affected components
### 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:
- [x] Create and run agents with various tools to verify accordion
behavior works correctly
- [x] Verify that UI components expand and collapse as expected
- [x] Test with different output types to ensure proper rendering
---------
Co-authored-by: Ubbe <hi@ubbe.dev>
Co-authored-by: Lluis Agusti <hi@llu.lu>
The MCP conftest.py was overriding session-scoped `server` and
`graph_cleanup` fixtures with no-op versions. Having two session-scoped
fixtures with the same name at different directory levels caused
pytest-asyncio event loop conflicts, making all oauth_test.py tests
fail with "Event loop is closed".
Since these fixtures are session-scoped and shared across the entire
test run, the override was unnecessary — the SpinTestServer is already
created for other tests.
Also adds defensive `access_token` key validation in MCP OAuth token
exchange and refresh to prevent KeyError on malformed responses.
## Summary
Enables Anthropic's extended thinking feature for Claude models in
CoPilot via OpenRouter. This keeps the model's chain-of-thought
reasoning internal rather than outputting it to users.
## Problem
The CoPilot prompt was designed for a thinking agent (with
`<internal_reasoning>` tags), but extended thinking wasn't enabled on
the API side. This caused the model to output its reasoning as regular
text, leaking internal analysis to users.
## Solution
Added thinking configuration to the OpenRouter `extra_body` for
Anthropic models:
```python
extra_body["provider"] = {
"anthropic": {
"thinking": {
"type": "enabled",
"budget_tokens": config.thinking_budget_tokens,
}
}
}
```
## Configuration
New settings in `ChatConfig`:
| Setting | Default | Description |
|---------|---------|-------------|
| `thinking_enabled` | `True` | Enable extended thinking for Claude
models |
| `thinking_budget_tokens` | `10000` | Token budget for thinking
(1000-100000) |
## Changes
- `config.py`: Added `thinking_enabled` and `thinking_budget_tokens`
settings
- `service.py`: Added thinking config to all 3 places where `extra_body`
is built for LLM calls
## Testing
- Verify CoPilot responses no longer include internal reasoning text
- Check that Claude's extended thinking is working (should see thinking
tokens in usage)
- Confirm non-Anthropic models are unaffected
## Related
Discussion:
https://discord.com/channels/1126875755960336515/1126875756925046928/1470779843552612607
---------
Co-authored-by: Swifty <craigswift13@gmail.com>
These "is the user authenticated, and should they be?" checks should not
be spread across the codebase, it's complex enough as it is. :')
- Follow-up to #12050
### Changes 🏗️
- Revert "fix(frontend): copilot redirect logout (#12050)"
- Add `/copilot` to `PROTECTED_PAGES` in `@/lib/supabase/helpers`
### 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:
- [x] Trivial change, we know this works for other pages
The MCP conftest's sync server/graph_cleanup fixtures must match the
parent conftest's async pytest_asyncio fixtures to avoid disrupting
the session event loop management, which caused "Event loop is closed"
errors in oauth_test.py tests.
The server and graph_cleanup fixtures in conftest.py require explicit
pytest_asyncio.fixture(loop_scope="session") to properly manage the
session event loop. Using plain pytest.fixture causes "Event loop is
closed" errors in all oauth_test.py tests.
Restores session-scoped fixtures and pytest_asyncio decorators that were
accidentally changed, causing "RuntimeError: Event loop is closed" in
test_authorize_creates_code_in_database. Also regenerates openapi.json.
Bumps the production-dependencies group in /autogpt_platform/backend
with 2 updates: [fastapi](https://github.com/fastapi/fastapi) and
[langfuse](https://github.com/langfuse/langfuse).
Updates `fastapi` from 0.128.5 to 0.128.6
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/fastapi/fastapi/releases">fastapi's
releases</a>.</em></p>
<blockquote>
<h2>0.128.6</h2>
<h3>Fixes</h3>
<ul>
<li>🐛 Fix <code>on_startup</code> and <code>on_shutdown</code>
parameters of <code>APIRouter</code>. PR <a
href="https://redirect.github.com/fastapi/fastapi/pull/14873">#14873</a>
by <a
href="https://github.com/YuriiMotov"><code>@YuriiMotov</code></a>.</li>
</ul>
<h3>Translations</h3>
<ul>
<li>🌐 Update translations for zh (update-outdated). PR <a
href="https://redirect.github.com/fastapi/fastapi/pull/14843">#14843</a>
by <a
href="https://github.com/tiangolo"><code>@tiangolo</code></a>.</li>
</ul>
<h3>Internal</h3>
<ul>
<li>✅ Fix parameterized tests with snapshots. PR <a
href="https://redirect.github.com/fastapi/fastapi/pull/14875">#14875</a>
by <a
href="https://github.com/YuriiMotov"><code>@YuriiMotov</code></a>.</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="fbca586c1d"><code>fbca586</code></a>
📝 Update release notes</li>
<li><a
href="4e879799dd"><code>4e87979</code></a>
📝 Update release notes</li>
<li><a
href="0a4033aeee"><code>0a4033a</code></a>
🔖 Release version 0.128.6</li>
<li><a
href="ed2512a5ec"><code>ed2512a</code></a>
🐛 Fix <code>on_startup</code> and <code>on_shutdown</code> parameters of
<code>APIRouter</code> (<a
href="https://redirect.github.com/fastapi/fastapi/issues/14873">#14873</a>)</li>
<li><a
href="0c0f6332e2"><code>0c0f633</code></a>
📝 Update release notes</li>
<li><a
href="227cb85a03"><code>227cb85</code></a>
✅ Fix parameterized tests with snapshots (<a
href="https://redirect.github.com/fastapi/fastapi/issues/14875">#14875</a>)</li>
<li><a
href="cd31576d57"><code>cd31576</code></a>
📝 Update release notes</li>
<li><a
href="376e108580"><code>376e108</code></a>
🌐 Update translations for zh (update-outdated) (<a
href="https://redirect.github.com/fastapi/fastapi/issues/14843">#14843</a>)</li>
<li>See full diff in <a
href="https://github.com/fastapi/fastapi/compare/0.128.5...0.128.6">compare
view</a></li>
</ul>
</details>
<br />
Updates `langfuse` from 3.13.0 to 3.14.1
<details>
<summary>Commits</summary>
<ul>
<li>See full diff in <a
href="https://github.com/langfuse/langfuse/commits">compare
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## Changes 🏗️
Redirect to `/login` if the user is not authenticated and tries to
access `/copilot`
### 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:
- [x] Run the app locally and tested
### Changes 🏗️
- Added AI SDK integration for chat streaming with proper message
handling
- Implemented custom to_sse method in StreamToolOutputAvailable to
exclude non-spec fields
- Modified stream_chat_completion to reuse message IDs for tool call
continuations
- Created new Copilot 2.0 UI with AI SDK React components
- Added streamdown and related packages for markdown rendering
- Built reusable conversation and message components for the chat
interface
- Added support for tool output display in the chat UI
### 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:
- [x] Start a new chat session and verify streaming works correctly
- [x] Test tool calls and verify they display properly in the UI
- [x] Verify message continuations don't create duplicate messages
- [x] Test markdown rendering with code blocks and other formatting
- [x] Verify the UI is responsive and scrolls correctly
#### 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**)
---------
Co-authored-by: Lluis Agusti <hi@llu.lu>
Co-authored-by: Ubbe <hi@ubbe.dev>
When a credential is deleted but the node still references its ID,
CredentialsSelect now treats the stale ID as unselected and falls
back to the first available credential instead of showing the raw ID.
MCP credentials use per-server dynamic OAuth handlers, not a static
handler registered in HANDLERS_BY_NAME. The delete endpoint now
creates a dynamic handler from credential metadata for token
revocation instead of failing with "Provider 'mcp' does not support
OAuth".
