[pull] main from trustyai-explainability:main#4
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- Changed llama-stack and llama-stack-client dependencies to point to GitHub repositories. - Unified demo notebooks into one, and run.yaml into one as well. - Refactored provider specifications to return a list. - Updated calls to embeddings and completions.
- Updated LlamaStackInlineLLM and LlamaStackRemoteLLM to accept SamplingParams directly. - Removed unused prompt logging and token estimation methods. - Enhanced error handling for completion responses. - Adjusted tests to reflect changes in sampling parameters structure and usage. - Improved integration with Kubeflow by ensuring proper sampling parameters are passed.
…rade pyarrow to >=21.0.0, and add datasets dependency.
….toml and uv.lock
Guide for deploying llama stack with eval provider on openshift && AWS credentials on the LLS CR
…edacted && use SecretStr.
refactor: rename pipelines_token to pipelines_api_token to get logs redacted && use SecretStr.
Update Ragas wrappers to use OpenAI APIs (inference & embeddings)
- Added constants for provider type and IDs in constants.py. - Updated provider.py to check for remote dependencies and conditionally include remote provider specifications. - Refactored inline and remote provider specifications to utilize the new constants for provider type. - Adjusted test cases to use the new inline provider ID constant.
Return providers as list & conditionally enable remote based on installed deps.
ruivieira
approved these changes
Oct 17, 2025
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