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add WatsonX inference adapter
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87
llama_stack/templates/watsonx/run.yaml
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87
llama_stack/templates/watsonx/run.yaml
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version: '2'
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image_name: watsonx
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apis:
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- agents
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- datasetio
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- eval
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- inference
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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: watsonx
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provider_type: remote::watsonx
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config:
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url: ${env.WATSONX_BASE_URL:https://us-south.ml.cloud.ibm.com}
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api_key: ${env.WATSONX_API_KEY:}
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project_id: ${env.WATSONX_PROJECT_ID:}
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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/llamastack-watsonx}/agents_store.db
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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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namespace: null
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/llamastack-watsonx}/faiss_store.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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- provider_id: localfs
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provider_type: inline::localfs
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config: {}
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scoring:
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- provider_id: basic
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provider_type: inline::basic
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config: {}
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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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post_training:
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- provider_id: torchtune
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provider_type: inline::torchtune
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config: {}
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tool_runtime:
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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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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/llamastack-watsonx/trace_store.db}
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metadata_store: null
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models:
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- metadata: {}
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model_id: meta-llama/llama-3-3-70b-instruct
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provider_id: watsonx
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provider_model_id: meta-llama/llama-3-3-70b-instruct
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model_type: llm
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shields: []
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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::rag
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provider_id: rag-runtime
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server:
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port: 8321
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