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https://github.com/meta-llama/llama-stack.git
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0e96279bee
Kill the `builtin::rag` tool group completely since it is no longer targeted. We use the Responses implementation for knowledge_search which uses the `openai_vector_stores` pathway. --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
137 lines
3.2 KiB
YAML
137 lines
3.2 KiB
YAML
version: 2
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image_name: dell
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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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- tool_runtime
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- vector_io
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providers:
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inference:
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- provider_id: tgi0
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provider_type: remote::tgi
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config:
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url: ${env.DEH_URL}
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- provider_id: tgi1
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provider_type: remote::tgi
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config:
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url: ${env.DEH_SAFETY_URL}
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- provider_id: sentence-transformers
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provider_type: inline::sentence-transformers
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vector_io:
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- provider_id: 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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persistence:
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namespace: vector_io::chroma_remote
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backend: kv_default
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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:
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agent_state:
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namespace: agents
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backend: kv_default
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responses:
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table_name: responses
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backend: sql_default
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max_write_queue_size: 10000
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num_writers: 4
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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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kvstore:
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namespace: eval
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backend: kv_default
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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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kvstore:
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namespace: datasetio::huggingface
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backend: kv_default
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- provider_id: localfs
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provider_type: inline::localfs
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config:
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kvstore:
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namespace: datasetio::localfs
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backend: kv_default
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scoring:
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- provider_id: basic
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provider_type: inline::basic
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- provider_id: llm-as-judge
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provider_type: inline::llm-as-judge
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- provider_id: braintrust
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provider_type: inline::braintrust
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config:
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openai_api_key: ${env.OPENAI_API_KEY:=}
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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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storage:
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backends:
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kv_default:
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type: kv_sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/kvstore.db
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sql_default:
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type: sql_sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/dell}/sql_store.db
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stores:
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metadata:
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namespace: registry
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backend: kv_default
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inference:
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table_name: inference_store
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backend: sql_default
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max_write_queue_size: 10000
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num_writers: 4
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conversations:
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table_name: openai_conversations
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backend: sql_default
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registered_resources:
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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: tgi0
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model_type: llm
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- metadata: {}
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model_id: ${env.SAFETY_MODEL}
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provider_id: tgi1
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model_type: llm
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- metadata:
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embedding_dimension: 768
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model_id: nomic-embed-text-v1.5
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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: ${env.SAFETY_MODEL}
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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: brave-search
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server:
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port: 8321
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telemetry:
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enabled: true
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