- prefix provider env vars with embeddings_
- rename watson → watsonx in providers
- add deprecation warning and alias for legacy 'watson' key (to be removed in v1.0.0)
- Bump CrewAI version to 0.201.0 in __init__.py
- Update dependency versions in pyproject.toml for crew, flow, and tool templates to require CrewAI 0.201.0
- Remove unnecessary blank line in pyproject.toml
- update imports and include handling for chromadb v1.1.0
- fix mypy and typing_compat issues (required, typeddict, voyageai)
- refine embedderconfig typing and allow base provider instances
- handle mem0 as special case for external memory storage
- bump tools and clean up redundant deps
- introduce baseembeddingsprovider and helper for embedding functions
- add core embedding types and migrate providers, factory, and storage modules
- remove unused type aliases and fix pydantic schema error
- update providers with env var support and related fixes
- Add pydantic-settings>=2.10.1 dependency for configuration management
- Update pydantic to 2.11.9 and python-dotenv to 1.1.1
- Migrate from deprecated tool.uv.dev-dependencies to dependency-groups.dev format
- Remove unnecessary dev dependencies: pillow, cairosvg
- Update all dev tooling to latest versions
- Remove duplicate python-dotenv from dev dependencies
- add batch_size field to baseragconfig (default=100)
- update chromadb/qdrant clients and factories to use batch_size
- extract and filter batch_size from embedder config in knowledgestorage
- fix large csv files exceeding embedder token limits (#3574)
- remove unneeded conditional for type
Co-authored-by: Vini Brasil <vini@hey.com>
- support nested config format with embedderconfig typeddict
- fix parsing for model/model_name compatibility
- add validation, typing_extensions, and improved type hints
- enhance embedding factory with env var injection and provider support
- add tests for openai, azure, and all embedding providers
- misc fixes: test file rename, updated mocking patterns
* fix: Make 'ready' parameter optional in _create_reasoning_plan function
This PR fixes Issue #3466 where the _create_reasoning_plan function was missing
the 'ready' parameter when called by the LLM. The fix makes the 'ready' parameter
optional with a default value of False, which allows the function to be called
with only the 'plan' argument.
Fixes#3466
* Change default value of 'ready' parameter to True
---------
Co-authored-by: João Moura <joaomdmoura@gmail.com>
* chore: update dependencies and versioning for CrewAI
- Bump `crewai-tools` dependency version from `0.71.0` to `0.73.0` in `pyproject.toml`.
- Update CrewAI version from `0.186.1` to `0.193.0` in `__init__.py`.
- Adjust dependency versions in CLI templates for crew, flow, and tool to reflect the new CrewAI version.
This update ensures compatibility with the latest features and improvements in CrewAI.
* remove embedchain mock
* fix: remove last embedchain mocks
* fix: remove langchain_openai from tests
---------
Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com>
* feat(tracing): enhance first-time trace display and auto-open browser
* avoinding line breaking
* set tracing if user enables it
* linted
---------
Co-authored-by: lorenzejay <lorenzejaytech@gmail.com>
* docs: update RagTool references from EmbedChain to CrewAI native RAG
* change ref to qdrant
* docs: update RAGTool to use Qdrant and add embedding_model example
