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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 ``` addresses #3066 --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
236 lines
7.4 KiB
YAML
236 lines
7.4 KiB
YAML
version: 2
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image_name: starter
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apis:
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- agents
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- batches
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- datasetio
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- eval
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- files
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- inference
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- post_training
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- safety
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- scoring
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- telemetry
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- tool_runtime
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- vector_io
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providers:
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inference:
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- provider_id: ${env.CEREBRAS_API_KEY:+cerebras}
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provider_type: remote::cerebras
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config:
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base_url: https://api.cerebras.ai
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api_key: ${env.CEREBRAS_API_KEY:=}
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- provider_id: ${env.OLLAMA_URL:+ollama}
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provider_type: remote::ollama
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config:
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url: ${env.OLLAMA_URL:=http://localhost:11434}
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- provider_id: ${env.VLLM_URL:+vllm}
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provider_type: remote::vllm
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config:
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url: ${env.VLLM_URL:=}
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max_tokens: ${env.VLLM_MAX_TOKENS:=4096}
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api_token: ${env.VLLM_API_TOKEN:=fake}
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tls_verify: ${env.VLLM_TLS_VERIFY:=true}
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- provider_id: ${env.TGI_URL:+tgi}
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provider_type: remote::tgi
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config:
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url: ${env.TGI_URL:=}
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- provider_id: fireworks
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provider_type: remote::fireworks
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config:
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url: https://api.fireworks.ai/inference/v1
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api_key: ${env.FIREWORKS_API_KEY:=}
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- provider_id: together
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provider_type: remote::together
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config:
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url: https://api.together.xyz/v1
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api_key: ${env.TOGETHER_API_KEY:=}
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- provider_id: bedrock
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provider_type: remote::bedrock
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- provider_id: ${env.NVIDIA_API_KEY:+nvidia}
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provider_type: remote::nvidia
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config:
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url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com}
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api_key: ${env.NVIDIA_API_KEY:=}
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append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True}
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- provider_id: openai
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provider_type: remote::openai
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config:
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api_key: ${env.OPENAI_API_KEY:=}
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base_url: ${env.OPENAI_BASE_URL:=https://api.openai.com/v1}
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- provider_id: anthropic
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provider_type: remote::anthropic
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config:
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api_key: ${env.ANTHROPIC_API_KEY:=}
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- provider_id: gemini
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provider_type: remote::gemini
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config:
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api_key: ${env.GEMINI_API_KEY:=}
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- provider_id: ${env.VERTEX_AI_PROJECT:+vertexai}
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provider_type: remote::vertexai
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config:
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project: ${env.VERTEX_AI_PROJECT:=}
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location: ${env.VERTEX_AI_LOCATION:=us-central1}
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- provider_id: groq
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provider_type: remote::groq
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config:
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url: https://api.groq.com
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api_key: ${env.GROQ_API_KEY:=}
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- provider_id: sambanova
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provider_type: remote::sambanova
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config:
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url: https://api.sambanova.ai/v1
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api_key: ${env.SAMBANOVA_API_KEY:=}
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- provider_id: sentence-transformers
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provider_type: inline::sentence-transformers
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vector_io:
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- provider_id: faiss
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provider_type: inline::faiss
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config:
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kvstore:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/faiss_store.db
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- provider_id: sqlite-vec
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provider_type: inline::sqlite-vec
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config:
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/sqlite_vec.db
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kvstore:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/sqlite_vec_registry.db
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- provider_id: ${env.MILVUS_URL:+milvus}
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provider_type: inline::milvus
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config:
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db_path: ${env.MILVUS_DB_PATH:=~/.llama/distributions/starter}/milvus.db
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kvstore:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/milvus_registry.db
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- provider_id: ${env.CHROMADB_URL:+chromadb}
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provider_type: remote::chromadb
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config:
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url: ${env.CHROMADB_URL:=}
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kvstore:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter/}/chroma_remote_registry.db
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- provider_id: ${env.PGVECTOR_DB:+pgvector}
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provider_type: remote::pgvector
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config:
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host: ${env.PGVECTOR_HOST:=localhost}
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port: ${env.PGVECTOR_PORT:=5432}
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db: ${env.PGVECTOR_DB:=}
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user: ${env.PGVECTOR_USER:=}
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password: ${env.PGVECTOR_PASSWORD:=}
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kvstore:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/pgvector_registry.db
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files:
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- provider_id: meta-reference-files
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provider_type: inline::localfs
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config:
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storage_dir: ${env.FILES_STORAGE_DIR:=~/.llama/distributions/starter/files}
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metadata_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/files_metadata.db
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safety:
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- provider_id: llama-guard
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provider_type: inline::llama-guard
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config:
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excluded_categories: []
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agents:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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persistence_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/agents_store.db
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responses_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/responses_store.db
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telemetry:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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service_name: "${env.OTEL_SERVICE_NAME:=\u200B}"
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sinks: ${env.TELEMETRY_SINKS:=console,sqlite}
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sqlite_db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/trace_store.db
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otel_exporter_otlp_endpoint: ${env.OTEL_EXPORTER_OTLP_ENDPOINT:=}
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post_training:
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- provider_id: huggingface
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provider_type: inline::huggingface
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config:
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checkpoint_format: huggingface
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distributed_backend: null
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device: cpu
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dpo_output_dir: ~/.llama/distributions/starter/dpo_output
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eval:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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kvstore:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/meta_reference_eval.db
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datasetio:
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- provider_id: huggingface
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provider_type: remote::huggingface
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config:
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kvstore:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/huggingface_datasetio.db
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- provider_id: localfs
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provider_type: inline::localfs
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config:
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kvstore:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/localfs_datasetio.db
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scoring:
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- provider_id: basic
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provider_type: inline::basic
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- provider_id: llm-as-judge
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provider_type: inline::llm-as-judge
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- provider_id: braintrust
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provider_type: inline::braintrust
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config:
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openai_api_key: ${env.OPENAI_API_KEY:=}
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tool_runtime:
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- provider_id: brave-search
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provider_type: remote::brave-search
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config:
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api_key: ${env.BRAVE_SEARCH_API_KEY:=}
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max_results: 3
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- provider_id: tavily-search
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provider_type: remote::tavily-search
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config:
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api_key: ${env.TAVILY_SEARCH_API_KEY:=}
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max_results: 3
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- provider_id: rag-runtime
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provider_type: inline::rag-runtime
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- provider_id: model-context-protocol
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provider_type: remote::model-context-protocol
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batches:
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- provider_id: reference
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provider_type: inline::reference
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config:
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kvstore:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/batches.db
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metadata_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/registry.db
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inference_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter}/inference_store.db
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models: []
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shields:
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- shield_id: llama-guard
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provider_id: ${env.SAFETY_MODEL:+llama-guard}
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provider_shield_id: ${env.SAFETY_MODEL:=}
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vector_dbs: []
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datasets: []
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scoring_fns: []
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benchmarks: []
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tool_groups:
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- toolgroup_id: builtin::websearch
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provider_id: tavily-search
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- toolgroup_id: builtin::rag
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provider_id: rag-runtime
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server:
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port: 8321
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