Add model caching and secrets passphrase to CI workflows#560
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CI test jobs were downloading ONNX/GGUF models anonymously from the Hugging Face Hub on every run, which hits anonymous IP rate limits on shared GitHub runners (downloads denied). - Pass WORKGLOW_SECRETS_PASSPHRASE to the model-downloading vitest jobs (hft, nodellama; rag already had it) so the test preload decrypts the on-disk credential store and hydrates HF_TOKEN into process.env. transformers.js authenticates Hub downloads when HF_TOKEN is set, raising the rate limit against the account. - Cache the repo-root ./models directory (where the test cache dir is configured) per job so models are not re-fetched on every run.
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Summary
This PR improves CI/CD efficiency and security by adding caching for Hugging Face model downloads and injecting the secrets passphrase environment variable into test workflows.
Key Changes
Model caching: Added
actions/cache@v4steps to three test jobs (RAG, HuggingFace Transformers, and LlamaCpp provider tests) to cache downloaded models in themodels/directory. Each job uses a unique cache key (hf-models-rag-,hf-models-hft-,hf-models-nodellama-) scoped by OS and keyed on sample file changes.Secrets passphrase injection: Added
WORKGLOW_SECRETS_PASSPHRASEenvironment variable (from GitHub secrets) to the HuggingFace Transformers and LlamaCpp provider test jobs, enabling decryption of encrypted credentials during test execution.Encrypted credentials: Added encrypted HuggingFace token credential file (
.secrets/credentials/26f1356ad1fd23bad72f47e1cafd32b3886e57b1701ac6fbaaf4f2aa0ba2bb8a.json) for use in tests requiring HuggingFace API access.Implementation Details
hashFiles('packages/test/src/samples/**')to invalidate when test samples changehttps://claude.ai/code/session_013CxVhBFku7dJvm7Bwucn1z