mirror of
https://github.com/meta-llama/llama-stack.git
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a84e7669f0
- Added new template `dell` and its documentation - Update docs - [minor] uv fix i came across - codegen for all templates Tested with ```bash export INFERENCE_PORT=8181 export DEH_URL=http://0.0.0.0:$INFERENCE_PORT export INFERENCE_MODEL=meta-llama/Llama-3.1-8B-Instruct export CHROMADB_HOST=localhost export CHROMADB_PORT=6601 export CHROMA_URL=[http://$CHROMADB_HOST:$CHROMADB_PORT](about:blank) export CUDA_VISIBLE_DEVICES=0 export LLAMA_STACK_PORT=8321 # build the stack template llama stack build --template=dell # start the TGI inference server podman run --rm -it --network host -v $HOME/.cache/huggingface:/data -e HF_TOKEN=$HF_TOKEN -p $INFERENCE_PORT:$INFERENCE_PORT --gpus $CUDA_VISIBLE_DEVICES [ghcr.io/huggingface/text-generation-inference](http://ghcr.io/huggingface/text-generation-inference) --dtype bfloat16 --usage-stats off --sharded false --cuda-memory-fraction 0.7 --model-id $INFERENCE_MODEL --port $INFERENCE_PORT --hostname 0.0.0.0 # start chroma-db for vector-io ( aka RAG ) podman run --rm -it --network host --name chromadb -v .:/chroma/chroma -e IS_PERSISTENT=TRUE chromadb/chroma:latest --port $CHROMADB_PORT --host $(hostname) # build docker llama stack build --template=dell --image-type=container # run llama stack server ( via docker ) podman run -it \ --network host \ -p $LLAMA_STACK_PORT:$LLAMA_STACK_PORT \ -v ~/.llama:/root/.llama \ # NOTE: mount the llama-stack / llama-model directories if testing local changes -v /home/hjshah/git/llama-stack:/app/llama-stack-source -v /home/hjshah/git/llama-models:/app/llama-models-source \ localhost/distribution-dell:dev \ --port $LLAMA_STACK_PORT \ --env INFERENCE_MODEL=$INFERENCE_MODEL \ --env DEH_URL=$DEH_URL \ --env CHROMA_URL=$CHROMA_URL # test the server cd <PATH_TO_LLAMA_STACK_REPO> LLAMA_STACK_BASE_URL=http://0.0.0.0:$LLAMA_STACK_PORT pytest -s -v tests/client-sdk/agents/test_agents.py ``` --------- Co-authored-by: Hardik Shah <hjshah@fb.com>
109 lines
2.7 KiB
YAML
109 lines
2.7 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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- 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: 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: 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: chromadb
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provider_type: remote::chromadb
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config:
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url: ${env.CHROMA_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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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/dell}/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/dell/trace_store.db}
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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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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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- provider_id: llm-as-judge
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provider_type: inline::llm-as-judge
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config: {}
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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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- provider_id: code-interpreter
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provider_type: inline::code-interpreter
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config: {}
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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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metadata_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:~/.llama/distributions/dell}/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: tgi0
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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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vector_dbs: []
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datasets: []
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scoring_fns: []
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eval_tasks: []
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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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- toolgroup_id: builtin::rag
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provider_id: rag-runtime
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- toolgroup_id: builtin::code_interpreter
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provider_id: code-interpreter
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