Matthew Farrellee
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8e678912ec
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feat: add batches API with OpenAI compatibility
Add complete batches API implementation with protocol, providers, and tests:
Core Infrastructure:
- Add batches API protocol using OpenAI Batch types directly
- Add Api.batches enum value and protocol mapping in resolver
- Add OpenAI "batch" file purpose support
- Include proper error handling (ConflictError, ResourceNotFoundError)
Reference Provider:
- Add ReferenceBatchesImpl with full CRUD operations (create, retrieve, cancel, list)
- Implement background batch processing with configurable concurrency
- Add SQLite KVStore backend for persistence
- Support /v1/chat/completions endpoint with request validation
Comprehensive Test Suite:
- Add unit tests for provider implementation with validation
- Add integration tests for end-to-end batch processing workflows
- Add error handling tests for validation, malformed inputs, and edge cases
Configuration:
- Add max_concurrent_batches and max_concurrent_requests_per_batch options
- Add provider documentation with sample configurations
Test with -
```
$ uv run llama stack build --image-type venv --providers inference=YOU_PICK,files=inline::localfs,batches=inline::reference --run &
$ LLAMA_STACK_CONFIG=http://localhost:8321 uv run pytest tests/unit/providers/batches tests/integration/batches --text-model YOU_PICK
```
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2025-08-08 08:08:08 -04:00 |
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