This commit fixes the validation error that occurred when using the
google-generativeai embedder provider with a flat configuration format.
Changes:
1. Made the 'config' field optional in GenerativeAiProviderSpec by adding
'total=False' and marking 'provider' as Required, consistent with other
provider specs like VertexAIProviderSpec.
2. Added normalization in the Crew class to automatically convert flat
embedder configs to nested format before validation. This allows users
to use either format:
- Flat: {'provider': 'google-generativeai', 'api_key': '...', 'model_name': '...'}
- Nested: {'provider': 'google-generativeai', 'config': {'api_key': '...', 'model_name': '...'}}
3. Updated the embedder factory to support both flat and nested config
formats by checking for the presence of 'config' key and extracting
config fields accordingly.
4. Added comprehensive tests to verify both formats work correctly:
- Test for flat config format (the issue reported in #3741)
- Test for nested config format (recommended format)
- Test for TypedDict validation
Fixes#3741
Co-Authored-By: João <joao@crewai.com>
- 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)
- 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
- 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
