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https://github.com/meta-llama/llama-stack.git
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3c43a2f529
# What does this PR do? https://github.com/meta-llama/llama-stack/pull/2490 broke postgres_demo, as the config expected a str but the value was converted to int. This PR: 1. Updates the type of port in sqlstore to be int 2. template generation uses `dict` instead of `StackRunConfig` so as to avoid failing pydantic typechecks. 3. Adds `replace_env_vars` to StackRunConfig instantiation in `configure.py` (not sure why this wasn't needed before). ## Test Plan `llama stack build --template postgres_demo --image-type conda --run`
212 lines
6.5 KiB
YAML
212 lines
6.5 KiB
YAML
version: 2
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image_name: sambanova
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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: sambanova
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provider_type: remote::sambanova
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config:
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url: https://api.sambanova.ai/v1
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api_key: ${env.SAMBANOVA_API_KEY}
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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: 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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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/sambanova}/faiss_store.db
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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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- provider_id: ${env.ENABLE_PGVECTOR:+pgvector}
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provider_type: remote::pgvector
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config:
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host: ${env.PGVECTOR_HOST:=localhost}
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port: ${env.PGVECTOR_PORT:=5432}
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db: ${env.PGVECTOR_DB:=}
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user: ${env.PGVECTOR_USER:=}
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password: ${env.PGVECTOR_PASSWORD:=}
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safety:
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- provider_id: sambanova
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provider_type: remote::sambanova
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config:
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url: https://api.sambanova.ai/v1
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api_key: ${env.SAMBANOVA_API_KEY}
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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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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/sambanova}/agents_store.db
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responses_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/sambanova}/responses_store.db
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telemetry:
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- provider_id: meta-reference
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provider_type: inline::meta-reference
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config:
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service_name: "${env.OTEL_SERVICE_NAME:=\u200B}"
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sinks: ${env.TELEMETRY_SINKS:=console,sqlite}
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sqlite_db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/sambanova}/trace_store.db
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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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- provider_id: wolfram-alpha
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provider_type: remote::wolfram-alpha
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config:
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api_key: ${env.WOLFRAM_ALPHA_API_KEY:=}
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metadata_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/sambanova}/registry.db
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inference_store:
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type: sqlite
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/sambanova}/inference_store.db
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models:
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- metadata: {}
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model_id: sambanova/Meta-Llama-3.1-8B-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-3.1-8B-Instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.1-8B-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-3.1-8B-Instruct
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model_type: llm
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- metadata: {}
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model_id: sambanova/Meta-Llama-3.1-405B-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-3.1-405B-Instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.1-405B-Instruct-FP8
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-3.1-405B-Instruct
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model_type: llm
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- metadata: {}
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model_id: sambanova/Meta-Llama-3.2-1B-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-3.2-1B-Instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.2-1B-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-3.2-1B-Instruct
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model_type: llm
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- metadata: {}
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model_id: sambanova/Meta-Llama-3.2-3B-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-3.2-3B-Instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.2-3B-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-3.2-3B-Instruct
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model_type: llm
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- metadata: {}
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model_id: sambanova/Meta-Llama-3.3-70B-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-3.3-70B-Instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.3-70B-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-3.3-70B-Instruct
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model_type: llm
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- metadata: {}
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model_id: sambanova/Llama-3.2-11B-Vision-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Llama-3.2-11B-Vision-Instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.2-11B-Vision-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Llama-3.2-11B-Vision-Instruct
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model_type: llm
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- metadata: {}
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model_id: sambanova/Llama-3.2-90B-Vision-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Llama-3.2-90B-Vision-Instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-3.2-90B-Vision-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Llama-3.2-90B-Vision-Instruct
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model_type: llm
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- metadata: {}
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model_id: sambanova/Llama-4-Scout-17B-16E-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Llama-4-Scout-17B-16E-Instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-4-Scout-17B-16E-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Llama-4-Scout-17B-16E-Instruct
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model_type: llm
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- metadata: {}
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model_id: sambanova/Llama-4-Maverick-17B-128E-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Llama-4-Maverick-17B-128E-Instruct
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-4-Maverick-17B-128E-Instruct
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provider_id: sambanova
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provider_model_id: sambanova/Llama-4-Maverick-17B-128E-Instruct
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model_type: llm
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- metadata: {}
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model_id: sambanova/Meta-Llama-Guard-3-8B
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-Guard-3-8B
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model_type: llm
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- metadata: {}
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model_id: meta-llama/Llama-Guard-3-8B
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provider_id: sambanova
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provider_model_id: sambanova/Meta-Llama-Guard-3-8B
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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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provider_shield_id: sambanova/Meta-Llama-Guard-3-8B
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- shield_id: sambanova/Meta-Llama-Guard-3-8B
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provider_shield_id: sambanova/Meta-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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- toolgroup_id: builtin::wolfram_alpha
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provider_id: wolfram-alpha
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server:
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port: 8321
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