- Replace MagicMock fixtures with real Agent/Task instances in
test_async_agent_executor.py so pydantic validation passes
- Guard CacheHandler creation in Crew.set_private_attrs to avoid
replacing an existing handler when the model validator re-runs
during RuntimeState registration
- Move runtime_state.py to state/runtime.py
- Add acheckpoint async method using aiofiles
- Introduce BaseProvider protocol and JsonProvider for pluggable storage
- Add aiofiles dependency to crewai package
- Use PrivateAttr for provider on RootModel
* fix: add tool repository credentials to crewai install
crewai install (uv sync) was failing with 401 Unauthorized when the
project depends on tools from a private package index (e.g. AMP tool
repository). The credentials were already injected for 'crewai run'
and 'crewai tool publish' but were missing from 'crewai install'.
Reads [tool.uv.sources] from pyproject.toml and injects UV_INDEX_*
credentials into the subprocess environment, matching the pattern
already used in run_crew.py.
* refactor: extract duplicated credential-building into utility function
Create build_env_with_all_tool_credentials() in utils.py to consolidate
the ~10-line block that reads [tool.uv.sources] from pyproject.toml and
calls build_env_with_tool_repository_credentials for each index.
This eliminates code duplication across install_crew.py, run_crew.py,
and cli.py, reducing the risk of inconsistent bug fixes.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: add debug logging for credential errors instead of silent swallow
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
* fix: add tool repository credentials to uv build in tool publish
When running 'uv build' during tool publish, the build process now has access
to tool repository credentials. This mirrors the pattern used in run_crew.py,
ensuring private package indexes are properly authenticated during the build.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: add env kwarg to subprocess.run mock assertions in publish tests
The actual code passes env= to subprocess.run but the test assertions
were missing this parameter, causing assertion failures.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
security_context was being injected into tool arguments by
_add_fingerprint_metadata(), causing Pydantic validation errors
(extra_forbidden) on MCP and integration tools with strict schemas.
Move fingerprint data to the `config` parameter that invoke/ainvoke
already accept, keeping it available to consumers without polluting
the tool args namespace.
Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>
- Added telemetry spans for various skill events: discovery, loading, activation, and load failure.
- Introduced telemetry spans for memory events: save, query, and retrieval completion.
- Updated event listener to include new MCP tool execution and connection events with telemetry tracking.
Introduce the A2UI extension for declarative UI generation, including
support for both v0.8 and v0.9 protocol specs. Add A2UI content type
integration in A2A utils, along with schema definitions, catalog models,
and client extension improvements.
Enhance models with explicit defaults, field descriptions, and ConfigDict,
and improve typing and instance state handling across the extension.
Add schema conformance tests and align test structure.
Add and register A2UI documentation, including extension guide and
navigation updates.
* perf: reduce framework overhead for NVIDIA benchmarks
- Lazy initialize event bus thread pool and event loop on first emit()
instead of at import time (~200ms savings)
- Skip trace listener registration (50+ handlers) when tracing disabled
- Skip trace prompt in non-interactive contexts (isatty check) to avoid
20s timeout in CI/Docker/API servers
- Skip flush() when no events were emitted (avoids 30s timeout waste)
- Add _has_pending_events flag to track if any events were emitted
- Add _executor_initialized flag for lazy init double-checked locking
All existing behavior preserved when tracing IS enabled. No public APIs
changed - only conditional guards added.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* fix: address PR review comments — tracing override, executor init order, stdin guard, unused import
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* style: fix ruff formatting in trace_listener.py and utils.py
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: Iris Clawd <iris@crewai.com>
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
lancedb 0.30.1 dropped the win_amd64 wheel, breaking installation on
Windows. Pin to <0.30.1 so uv resolves to a version that still ships
Windows binaries.
* refactor: replace InstanceOf[T] with plain type annotations
InstanceOf[] is a Pydantic validation wrapper that adds runtime
isinstance checks. Plain type annotations are sufficient here since
the models already use arbitrary_types_allowed or the types are
BaseModel subclasses.
* refactor: convert BaseKnowledgeStorage to BaseModel
* fix: update tests for BaseKnowledgeStorage BaseModel conversion
* fix: correct embedder config structure in test
This commit cleans up the class by removing the and methods, which are no longer needed. The changes help streamline the code and improve maintainability.
GPT-5.x models reject the `stop` parameter at the API level with "Unsupported parameter: 'stop' is not supported with this model". This breaks CrewAI executions when routing through LiteLLM (e.g. via
OpenAI-compatible gateways like Asimov), because the LiteLLM fallback path always includes `stop` in the API request params.
The native OpenAI provider was unaffected because it never sends `stop` to the API — it applies stop words client-side via `_apply_stop_words()`. However, when the request goes through LiteLLM (custom endpoints, proxy gateways),
`stop` is sent as an API parameter and GPT-5.x rejects it.
Additionally, the existing retry logic that catches this error only matched the OpenAI API error format ("Unsupported parameter") but missed
LiteLLM's own pre-validation error format ("does not support parameters"), so the self-healing retry never triggered for LiteLLM-routed calls.
* Exporting tool's metadata to AMP - initial work
* Fix payload (nest under `tools` key)
* Remove debug message + code simplification
* Priting out detected tools
* Extract module name
* fix: address PR review feedback for tool metadata extraction
- Use sha256 instead of md5 for module name hashing (lint S324)
- Filter required list to match filtered properties in JSON schema
* fix: Use sha256 instead of md5 for module name hashing (lint S324)
- Add missing mocks to metadata extraction failure test
* style: fix ruff formatting
* fix: resolve mypy type errors in utils.py
* fix: address bot review feedback on tool metadata
- Use `is not None` instead of truthiness check so empty tools list
is sent to the API rather than being silently dropped as None
- Strip __init__ suffix from module path for tools in __init__.py files
- Extend _unwrap_schema to handle function-before, function-wrap, and
definitions wrapper types
* fix: capture env_vars declared with Field(default_factory=...)
When env_vars uses default_factory, pydantic stores a callable in the
schema instead of a static default value. Fall back to calling the
factory when no static default is present.
---------
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
