version: 2
distribution_spec:
  description: Use Meta Reference for running LLM inference
  providers:
    inference:
    - provider_id: meta-reference
      provider_type: inline::meta-reference
    vector_io:
    - provider_id: faiss
      provider_type: inline::faiss
    - provider_id: chromadb
      provider_type: remote::chromadb
    - provider_id: pgvector
      provider_type: remote::pgvector
    safety:
    - provider_id: llama-guard
      provider_type: inline::llama-guard
    agents:
    - provider_id: meta-reference
      provider_type: inline::meta-reference
    telemetry:
    - provider_id: meta-reference
      provider_type: inline::meta-reference
    eval:
    - provider_id: meta-reference
      provider_type: inline::meta-reference
    datasetio:
    - provider_id: huggingface
      provider_type: remote::huggingface
    - provider_id: localfs
      provider_type: inline::localfs
    scoring:
    - provider_id: basic
      provider_type: inline::basic
    - provider_id: llm-as-judge
      provider_type: inline::llm-as-judge
    - provider_id: braintrust
      provider_type: inline::braintrust
    tool_runtime:
    - provider_id: brave-search
      provider_type: remote::brave-search
    - provider_id: tavily-search
      provider_type: remote::tavily-search
    - provider_id: rag-runtime
      provider_type: inline::rag-runtime
    - provider_id: model-context-protocol
      provider_type: remote::model-context-protocol
image_type: conda
image_name: meta-reference-gpu
additional_pip_packages:
- aiosqlite
- sqlalchemy[asyncio]