Use ref-based guard to skip persistence when sessionId changes before
hydration completes. Replace useCallback with plain function declaration
since the handler is wrapped in an inline arrow function anyway.
- Fix executionStatus.value crash when status is a string not enum
- Update snapshot with new LibraryAgent fields (execution_count, etc.)
- Update test mocks to include include_executions=True parameter
- Fix potential KeyError/AttributeError in agent deduplication by using
.get() with defaults instead of direct dict access
Fixes AUTOGPT-SERVER-7N6 - Some DB records have settings stored as
a JSON string instead of a dict, causing GraphSettings.model_validate
to fail with 'str' object has no attribute 'value'.
- Add RecentExecution model with status, correctness_score, and activity_summary
- Expose recent_executions in LibraryAgent for quality assessment
- Always pass error_details to user-facing messages for better debugging
- Update ExecutionSummary TypedDict for sub-agent composition
- Re-raise DatabaseError in get_library_agent_by_id to not swallow DB failures
- Add error details sanitization to strip sensitive info (paths, URLs, etc.)
- Clean up redundant inline comments in edit_agent.py
The ERROR status filter was too aggressive - a single failed execution
would exclude an agent from sub-agent composition, even if it had many
successful runs. Removed the filter for now.
Future enhancement: Add quality filtering based on execution success rate
or correctness_score (stored in AgentGraphExecution stats) rather than
the binary ERROR status.
Filter out library agents with ERROR status when searching for
sub-agent composition candidates. This prevents recommending broken
or draft agents that have failed executions.
Add configurable include_library parameter (default True) to allow
controlling whether user's library agents are included in the search
results for sub-agent composition.
[SECRT-1842: run_agent tool does not correctly use credentials - agents
fail with insufficient auth
scopes](https://linear.app/autogpt/issue/SECRT-1842)
### Changes 🏗️
- Include scopes in credentials filter in
`backend.api.features.chat.tools.utils.match_user_credentials_to_graph`
### 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 must pass
- It's broken now and a simple change so we'll test in the dev
deployment
## Summary
Remove `claude-3-7-sonnet-20250219` from LLM model definitions ahead of
Anthropic's API retirement, with comprehensive migration and defensive
error handling.
## Background
Anthropic is retiring Claude 3.7 Sonnet (`claude-3-7-sonnet-20250219`)
on **February 19, 2026 at 9:00 AM PT**. This PR removes the model from
the platform and migrates existing users to prevent service
interruptions.
## Changes
### Code Changes
- Remove `CLAUDE_3_7_SONNET` enum member from `LlmModel` in `llm.py`
- Remove corresponding `ModelMetadata` entry
- Remove `CLAUDE_3_7_SONNET` from `StagehandRecommendedLlmModel` enum
- Remove `CLAUDE_3_7_SONNET` from block cost config
- Add `CLAUDE_4_5_SONNET` to `StagehandRecommendedLlmModel` enum
- Update Stagehand block defaults from `CLAUDE_3_7_SONNET` to
`CLAUDE_4_5_SONNET` (staying in Claude family)
- Add defensive error handling in `CredentialsFieldInfo.discriminate()`
for deprecated model values
### Database Migration
- Adds migration `20260126120000_migrate_claude_3_7_to_4_5_sonnet`
- Migrates `AgentNode.constantInput` model references
- Migrates `AgentNodeExecutionInputOutput.data` preset overrides
### Documentation
- Updated `docs/integrations/block-integrations/llm.md` to remove
deprecated model
- Updated `docs/integrations/block-integrations/stagehand/blocks.md` to
remove deprecated model and add Claude 4.5 Sonnet
## Notes
- Agent JSON files in `autogpt_platform/backend/agents/` still reference
this model in their provider mappings. These are auto-generated and
should be regenerated separately.
## Testing
- [ ] Verify LLM block still functions with remaining models
- [ ] Confirm no import errors in affected files
- [ ] Verify migration runs successfully
- [ ] Verify deprecated model gives helpful error message instead of
KeyError
## Summary
Refocuses the chat input textarea after voice transcription finishes,
allowing users to immediately use `spacebar+enter` to record and send
their prompt.
## Changes
- Added `inputId` parameter to `useVoiceRecording` hook
- After transcription completes, the input is automatically focused
- This improves the voice input UX flow
## Testing
1. Click mic button or press spacebar to record voice
2. Record a message and stop
3. After transcription completes, the input should be focused
4. User can now press Enter to send or spacebar to record again
---------
Co-authored-by: Lluis Agusti <hi@llu.lu>
The "View in Library" link was returning 404 because the path was
missing the /agents/ segment. Fixed in both create_agent.py and
edit_agent.py to match the correct route used elsewhere.
- Add null checks for .lower() on agent names that could be None
- Add isinstance guard for non-string step values in extract_search_terms
- Re-raise DatabaseError instead of swallowing it in agent_search
- Remove inline comments per style guidelines
- Add LLM continuation call when background tool execution fails with
exception (previously users saw no explanation for errors)
- Improve validation error messages with more helpful guidance
- Add error_details parameter to include technical context in error
responses when needed
- Update create_agent to pass error details for validation failures
## Summary
Fixes flaky E2E marketplace and library tests that were causing PRs to
be removed from the merge queue.
## Root Cause
1. **Test data was probabilistic** - `e2e_test_data.py` used random
chances (40% approve, then 20-50% feature), which could result in 0
featured agents
2. **Library pagination threshold wrong** - Checked `>= 10`, but page
size is 20
3. **Fixed timeouts** - Used `waitForTimeout(2000)` /
`waitForTimeout(10000)` instead of proper waits
## Changes
### Backend (`e2e_test_data.py`)
- Add guaranteed minimums: 8 featured agents, 5 featured creators, 10
top agents
- First N submissions are deterministically approved and featured
- Increase agents per user from 15 → 25 (for pagination with
page_size=20)
- Fix library agent creation to use constants instead of hardcoded `10`
### Frontend Tests
- `library.spec.ts`: Fix pagination threshold to `PAGE_SIZE` (20)
- `library.page.ts`: Replace 2s timeout with `networkidle` +
`waitForFunction`
- `marketplace.page.ts`: Add `networkidle` wait, 30s waits in
`getFirst*` methods
- `marketplace.spec.ts`: Replace 10s timeout with `waitForFunction`
- `marketplace-creator.spec.ts`: Add `networkidle` + element waits
## Related
- Closes SECRT-1848, SECRT-1849
- Should unblock #11841 and other PRs in merge queue
---------
Co-authored-by: Ubbe <hi@ubbe.dev>
Previously, searching for "flight price drop alert" required that exact
phrase to be in the agent name/description. Now it splits into individual
words and matches agents containing ANY of: flight, price, drop, alert.
This fixes the issue where "flight price tracker" wasn't found when
searching for "flight price drop alert" even though they share keywords.
Added logging to help diagnose library search issues:
- Log the query and user_id when tool is called
- Log the number of results returned from database
When users paste a library URL or agent UUID, the find_library_agent
tool now does direct ID lookup first (both by graph_id and library
agent ID) before falling back to text search.
This fixes the issue where searching by UUID would fail because
it was only doing text matching on agent names/descriptions.
When users paste library URLs (e.g., /library/agents/{id}), the ID is
the LibraryAgent primary key, not the graph_id. The previous code only
looked up by graph_id, causing "agent not found" errors.
Now get_library_agent_by_id() tries both lookup strategies:
1. First by graph_id (AgentGraph primary key)
2. Then by library agent ID (LibraryAgent primary key)
This fixes the issue where users couldn't reference agents by pasting
their library URLs in chat.
When users mention agents by UUID in their goal description, we now:
1. Extract UUID v4 patterns from the search_query text
2. Fetch those agents directly by graph_id
3. Include them in the library_agents list for the LLM
This ensures explicitly referenced agents are always available to the
Agent Generator, even if text search wouldn't find them.
Added:
- extract_uuids_from_text(): extracts UUID v4 patterns from text
- get_library_agent_by_graph_id(): fetches a single agent by graph_id
- Integration in get_all_relevant_agents_for_generation()
- Move store_db, get_graph, get_graph_all_versions imports to top-level
- Catch specific NotFoundError instead of generic Exception
- Cleaner code organization following standard Python conventions
get_agent_as_json claimed to accept both graph IDs and library agent IDs
but only tried direct graph lookup. When a library agent ID was passed,
the function would return None (agent_not_found error).
Now the function:
1. First tries direct graph lookup with the provided ID
2. If not found, resolves the ID as a library agent ID to get the graph_id
3. Then fetches the graph using the resolved graph_id
- Add TypedDict types for agent summaries (LibraryAgentSummary, MarketplaceAgentSummary, DecompositionResult)
- Add extract_search_terms_from_steps() to extract keywords from decomposed instructions
- Add enrich_library_agents_from_steps() for two-phase search after decomposition
- Integrate enrichment into create_agent.py flow
- Add comprehensive tests for new functionality
### Changes 🏗️
- Removed `cd docs && pip install -r requirements.txt` from
`postCreateCmd` in `.branchlet.json`
- Docs dependencies will no longer be auto-installed during branchlet
worktree creation
### Rationale
The docs setup step was adding unnecessary overhead to the worktree
creation process. Developers who need to work on documentation can
manually install the docs requirements when needed.
### 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 branchlet worktree creation still works without the docs
pip install step
#### 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**)
- Add try/except error handling to get_library_agents_for_generation
for graceful degradation (consistent with marketplace search)
- Add null checks when deduplicating agents by name to prevent
AttributeError if agent name is None
- Use actual graph ID from current_agent in edit_agent.py to properly
exclude the agent being edited (agent_id might be a library agent ID)
- Add get_library_agents_for_generation() with search_term support
- Add search_marketplace_agents_for_generation() for marketplace search
- Add get_all_relevant_agents_for_generation() combining both sources
- Update service.py to pass library_agents in all requests
- Update create_agent.py to fetch and pass relevant library agents
- Update edit_agent.py to fetch and pass relevant library agents
- Add tests for library agent fetching and passthrough
## Summary
- Add helper functions in `service.py` to create standardized error
responses with `error_type` classification
- Update service functions to return error dicts instead of `None`,
preserving error details from the Agent Generator microservice
- Update `core.py` to pass through error responses properly
- Update `create_agent.py` to handle error responses with user-friendly
messages based on error type
## Error Types Now Propagated
| Error Type | Description | User Message |
|------------|-------------|--------------|
| `llm_parse_error` | LLM returned unparseable response | "The AI had
trouble understanding this request" |
| `llm_timeout` / `timeout` | Request timed out | "The request took too
long" |
| `llm_rate_limit` / `rate_limit` | Rate limited | "The service is
currently busy" |
| `validation_error` | Agent validation failed | "The generated agent
failed validation" |
| `connection_error` | Could not connect to Agent Generator | Generic
error message |
| `http_error` | HTTP error from Agent Generator | Generic error message
|
| `unknown` | Unclassified error | Generic error message |
## Motivation
This enables better debugging for issues like SECRT-1817 where
decomposition failed due to transient LLM errors but the root cause was
unclear in the logs. Now:
1. Error details from the Agent Generator microservice are preserved
2. Users get more helpful error messages based on error type
3. Debugging is easier with `error_type` in response details
## Related PR
- Agent Generator side:
https://github.com/Significant-Gravitas/AutoGPT-Agent-Generator/pull/102
## Test Plan
- [ ] Test decomposition with various error scenarios (timeout, parse
error)
- [ ] Verify user-friendly messages are shown based on error type
- [ ] Check that error details are logged properly
Split `autogpt_platform/CLAUDE.md` into project-specific files, to make
the scope of the instructions clearer.
Also, some minor improvements:
- Change references to other Markdown files to @file/path.md syntax that
Claude recognizes
- Update ambiguous/incorrect/outdated instructions
- Remove trailing slashes
- Fix broken file path references in other docs (including comments)
## Changes 🏗️https://github.com/user-attachments/assets/d9c12ac0-625c-4b38-8834-e494b5eda9c0
Add a "speech to text" feature in the Chat input fox of Copilot, similar
as what you have in ChatGPT.
## 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 locally and try the speech to text feature as part of the chat
input box
### For configuration changes:
We need to add `OPENAI_API_KEY=` to Vercel ( used in the Front-end )
both in Dev and Prod.
- [x] `.env.default` is updated or already compatible with my changes
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Implements persistent User Workspace storage for CoPilot, enabling
blocks to save and retrieve files across sessions. Files are stored in
session-scoped virtual paths (`/sessions/{session_id}/`).
Fixes SECRT-1833
### Changes 🏗️
**Database & Storage:**
- Add `UserWorkspace` and `UserWorkspaceFile` Prisma models
- Implement `WorkspaceStorageBackend` abstraction (GCS for cloud, local
filesystem for self-hosted)
- Add `workspace_id` and `session_id` fields to `ExecutionContext`
**Backend API:**
- Add REST endpoints: `GET/POST /api/workspace/files`, `GET/DELETE
/api/workspace/files/{id}`, `GET /api/workspace/files/{id}/download`
- Add CoPilot tools: `list_workspace_files`, `read_workspace_file`,
`write_workspace_file`
- Integrate workspace storage into `store_media_file()` - returns
`workspace://file-id` references
**Block Updates:**
- Refactor all file-handling blocks to use unified `ExecutionContext`
parameter
- Update media-generating blocks to persist outputs to workspace
(AIImageGenerator, AIImageCustomizer, FluxKontext, TalkingHead, FAL
video, Bannerbear, etc.)
**Frontend:**
- Render `workspace://` image references in chat via proxy endpoint
- Add "AI cannot see this image" overlay indicator
**CoPilot Context Mapping:**
- Session = Agent (graph_id) = Run (graph_exec_id)
- Files scoped to `/sessions/{session_id}/`
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [ ] I have tested my changes according to the test plan:
- [ ] Create CoPilot session, generate image with AIImageGeneratorBlock
- [ ] Verify image returns `workspace://file-id` (not base64)
- [ ] Verify image renders in chat with visibility indicator
- [ ] Verify workspace files persist across sessions
- [ ] Test list/read/write workspace files via CoPilot tools
- [ ] Test local storage backend for self-hosted deployments
#### 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**)
🤖 Generated with [Claude Code](https://claude.ai/code)
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> **Medium Risk**
> Introduces a new persistent file-storage surface area (DB tables,
storage backends, download API, and chat tools) and rewires
`store_media_file()`/block execution context across many blocks, so
regressions could impact file handling, access control, or storage
costs.
>
> **Overview**
> Adds a **persistent per-user Workspace** (new
`UserWorkspace`/`UserWorkspaceFile` models plus `WorkspaceManager` +
`WorkspaceStorageBackend` with GCS/local implementations) and wires it
into the API via a new `/api/workspace/files/{file_id}/download` route
(including header-sanitized `Content-Disposition`) and shutdown
lifecycle hooks.
>
> Extends `ExecutionContext` to carry execution identity +
`workspace_id`/`session_id`, updates executor tooling to clone
node-specific contexts, and updates `run_block` (CoPilot) to create a
session-scoped workspace and synthetic graph/run/node IDs.
>
> Refactors `store_media_file()` to require `execution_context` +
`return_format` and to support `workspace://` references; migrates many
media/file-handling blocks and related tests to the new API and to
persist generated media as `workspace://...` (or fall back to data URIs
outside CoPilot), and adds CoPilot chat tools for
listing/reading/writing/deleting workspace files with safeguards against
context bloat.
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
6abc70f793. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
## Summary
- Add `InvalidInputError` for validation errors (search term too long,
invalid pagination) - returns 400 instead of 500
- Remove redundant try/catch blocks in library routes - global exception
handlers already handle `ValueError`→400 and `NotFoundError`→404
- Aggregate embedding backfill errors and log once at the end instead of
per content type to prevent Sentry issue spam
## Test plan
- [x] Verify validation errors (search term >100 chars) return 400 Bad
Request
- [x] Verify NotFoundError still returns 404
- [x] Verify embedding errors are logged once at the end with aggregated
counts
Fixes AUTOGPT-SERVER-7K5, BUILDER-6NC
---------
Co-authored-by: Swifty <craigswift13@gmail.com>
Disable automatic onboarding redirects on signup/login while keeping the
checklist/wallet functional. Users now receive $5 (500 credits) on their
first visit to /copilot.
### Changes 🏗️
- **Frontend**: `shouldShowOnboarding()` now returns `false`, disabling
auto-redirects to `/onboarding`
- **Backend**: Added `VISIT_COPILOT` onboarding step with 500 credit
($5) reward
- **Frontend**: Copilot page automatically completes `VISIT_COPILOT`
step on mount
- **Database**: Migration to add `VISIT_COPILOT` to `OnboardingStep`
enum
NOTE: /onboarding/1-welcome -> /library now as shouldShowOnboardin is
always false
Users land directly on `/copilot` after signup/login and receive $5
invisibly (not shown in checklist 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] New user signup (email/password) → lands on `/copilot`, wallet
shows 500 credits
- [x] Verified credits are only granted once (idempotent via onboarding
reward mechanism)
- [x] Existing user login (already granted flag set) → lands on
`/copilot`, no duplicate credits
- [x] Checklist/wallet remains functional
#### For configuration changes:
- [x] `.env.default` is updated or already compatible with my changes
- [x] `docker-compose.yml` is updated or already compatible with my
changes
- [x] I have included a list of my configuration changes in the PR
description (under **Changes**)
No configuration changes required.
---
OPEN-2967
🤖 Generated with [Claude Code](https://claude.ai/code)
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Introduces a new onboarding step and adjusts onboarding flow.
>
> - Adds `VISIT_COPILOT` onboarding step (+500 credits) with DB enum
migration and API/type updates
> - Copilot page auto-completes `VISIT_COPILOT` on mount to grant the
welcome bonus
> - Changes `/onboarding/enabled` to require user context and return
`false` when `CHAT` feature is enabled (skips legacy onboarding)
> - Wallet now refreshes credits on any onboarding `step_completed`
notification; confetti limited to visible tasks
> - Test flows updated to accept redirects to `copilot`/`library` and
verify authenticated state
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
ec5a5a4dfd. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: claude[bot] <41898282+claude[bot]@users.noreply.github.com>
Co-authored-by: Nicholas Tindle <ntindle@users.noreply.github.com>
