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# What does this PR do? ## Test Plan
111 lines
3.1 KiB
YAML
111 lines
3.1 KiB
YAML
version: '2'
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image_name: postgres-demo
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apis:
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- agents
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- inference
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- safety
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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: vllm-inference
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provider_type: remote::vllm
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config:
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url: ${env.VLLM_URL:http://localhost:8000/v1}
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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: sentence-transformers
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provider_type: inline::sentence-transformers
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config: {}
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vector_io:
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- provider_id: ${env.ENABLE_CHROMADB+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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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: postgres
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host: ${env.POSTGRES_HOST:localhost}
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port: ${env.POSTGRES_PORT:5432}
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db: ${env.POSTGRES_DB:llamastack}
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user: ${env.POSTGRES_USER:llamastack}
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password: ${env.POSTGRES_PASSWORD:llamastack}
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responses_store:
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type: postgres
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host: ${env.POSTGRES_HOST:localhost}
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port: ${env.POSTGRES_PORT:5432}
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db: ${env.POSTGRES_DB:llamastack}
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user: ${env.POSTGRES_USER:llamastack}
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password: ${env.POSTGRES_PASSWORD:llamastack}
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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:}
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sinks: ${env.TELEMETRY_SINKS:console,otel_trace}
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otel_trace_endpoint: ${env.OTEL_TRACE_ENDPOINT:http://localhost:4318/v1/traces}
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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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config: {}
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- provider_id: model-context-protocol
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provider_type: remote::model-context-protocol
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config: {}
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metadata_store:
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type: postgres
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host: ${env.POSTGRES_HOST:localhost}
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port: ${env.POSTGRES_PORT:5432}
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db: ${env.POSTGRES_DB:llamastack}
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user: ${env.POSTGRES_USER:llamastack}
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password: ${env.POSTGRES_PASSWORD:llamastack}
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table_name: ${env.POSTGRES_TABLE_NAME:llamastack_kvstore}
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inference_store:
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type: postgres
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host: ${env.POSTGRES_HOST:localhost}
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port: ${env.POSTGRES_PORT:5432}
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db: ${env.POSTGRES_DB:llamastack}
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user: ${env.POSTGRES_USER:llamastack}
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password: ${env.POSTGRES_PASSWORD:llamastack}
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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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model_type: llm
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- metadata:
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embedding_dimension: 384
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model_id: all-MiniLM-L6-v2
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provider_id: sentence-transformers
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model_type: embedding
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shields:
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- shield_id: meta-llama/Llama-Guard-3-8B
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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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