version: '2' image_name: vllm-gpu docker_image: null conda_env: vllm-gpu apis: - agents - datasetio - eval - inference - memory - safety - scoring - telemetry providers: inference: - provider_id: vllm provider_type: inline::vllm config: model: ${env.INFERENCE_MODEL:Llama3.2-3B-Instruct} tensor_parallel_size: ${env.TENSOR_PARALLEL_SIZE:1} max_tokens: ${env.MAX_TOKENS:4096} enforce_eager: ${env.ENFORCE_EAGER:False} gpu_memory_utilization: ${env.GPU_MEMORY_UTILIZATION:0.7} - provider_id: sentence-transformers provider_type: inline::sentence-transformers config: {} memory: - provider_id: faiss provider_type: inline::faiss config: kvstore: type: sqlite namespace: null db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/vllm-gpu}/faiss_store.db safety: - provider_id: llama-guard provider_type: inline::llama-guard config: {} agents: - provider_id: meta-reference provider_type: inline::meta-reference config: persistence_store: type: sqlite namespace: null db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/vllm-gpu}/agents_store.db telemetry: - provider_id: meta-reference provider_type: inline::meta-reference config: service_name: ${env.OTEL_SERVICE_NAME:llama-stack} sinks: ${env.TELEMETRY_SINKS:console,sqlite} sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/vllm-gpu/trace_store.db} eval: - provider_id: meta-reference provider_type: inline::meta-reference config: {} datasetio: - provider_id: huggingface provider_type: remote::huggingface config: {} - provider_id: localfs provider_type: inline::localfs config: {} scoring: - provider_id: basic provider_type: inline::basic config: {} - provider_id: llm-as-judge provider_type: inline::llm-as-judge config: {} - provider_id: braintrust provider_type: inline::braintrust config: openai_api_key: ${env.OPENAI_API_KEY:} metadata_store: namespace: null type: sqlite db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/vllm-gpu}/registry.db models: - metadata: {} model_id: ${env.INFERENCE_MODEL} provider_id: vllm provider_model_id: null model_type: llm - metadata: embedding_dimension: 384 model_id: all-MiniLM-L6-v2 provider_id: sentence-transformers provider_model_id: null model_type: embedding shields: [] memory_banks: [] datasets: [] scoring_fns: [] eval_tasks: []