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The starter distribution now comes with all the required packages to support persistent stores—like the agent store, metadata, and inference—using PostgreSQL. We’ve added a new run YAML file, run-with-postgres-store.yaml, to make this setup easy. The file is included in the container image, so users can simply override the entrypoint to use the Postgres-specific config. The documentation has been updated with instructions on how to do that. Closes: #2619 Signed-off-by: Sébastien Han <seb@redhat.com>
61 lines
1.4 KiB
YAML
61 lines
1.4 KiB
YAML
version: 2
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distribution_spec:
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description: Quick start template for running Llama Stack with several popular providers
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providers:
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inference:
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- remote::cerebras
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- remote::ollama
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- remote::vllm
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- remote::tgi
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- remote::hf::serverless
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- remote::hf::endpoint
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- remote::fireworks
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- remote::together
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- remote::bedrock
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- remote::databricks
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- remote::nvidia
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- remote::runpod
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- remote::openai
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- remote::anthropic
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- remote::gemini
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- remote::groq
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- remote::llama-openai-compat
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- remote::sambanova
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- remote::passthrough
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- inline::sentence-transformers
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vector_io:
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- inline::faiss
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- inline::sqlite-vec
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- inline::milvus
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- remote::chromadb
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- remote::pgvector
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files:
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- inline::localfs
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safety:
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- inline::llama-guard
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agents:
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- inline::meta-reference
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telemetry:
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- inline::meta-reference
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post_training:
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- inline::huggingface
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eval:
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- inline::meta-reference
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datasetio:
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- remote::huggingface
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- inline::localfs
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scoring:
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- inline::basic
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- inline::llm-as-judge
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- inline::braintrust
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tool_runtime:
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- remote::brave-search
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- remote::tavily-search
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- inline::rag-runtime
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- remote::model-context-protocol
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image_type: conda
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additional_pip_packages:
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- aiosqlite
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- asyncpg
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- psycopg2-binary
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- sqlalchemy[asyncio]
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