mirror of
https://github.com/meta-llama/llama-stack.git
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59 lines
1.5 KiB
YAML
59 lines
1.5 KiB
YAML
version: '2'
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image_name: remote-vllm
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docker_image: null
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conda_env: remote-vllm
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apis:
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- agents
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- inference
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- memory
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- safety
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- telemetry
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providers:
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inference:
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- provider_id: vllm-inference
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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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memory:
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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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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/remote-vllm}/faiss_store.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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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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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/remote-vllm}/agents_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:llama-stack}
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sinks: ${env.TELEMETRY_SINKS:console,sqlite}
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sqlite_db_path: ${env.SQLITE_DB_PATH:~/.llama/distributions/remote-vllm/trace_store.db}
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metadata_store:
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namespace: null
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/remote-vllm}/registry.db
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models:
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- metadata: {}
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model_id: ${env.INFERENCE_MODEL}
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provider_id: vllm-inference
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provider_model_id: null
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shields: []
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memory_banks: []
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datasets: []
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scoring_fns: []
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eval_tasks: []
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