mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-03 09:53:45 +00:00
fix: harden storage semantics (#4118)
Fixes issues in the storage system by guaranteeing immediate durability for responses and ensuring background writers stay alive. Three related fixes: * Responses to the OpenAI-compatible API now write directly to Postgres/SQLite inside the request instead of detouring through an async queue that might never drain; this restores the expected read-after-write behavior and removes the "response not found" races reported by users. * The access-control shim was stamping owner_principal/access_attributes as SQL NULL, which Postgres interprets as non-public rows; fixing it to use the empty-string/JSON-null pattern means conversations and responses stored without an authenticated user stay queryable (matching SQLite). * The inference-store queue remains for batching, but its worker tasks now start lazily on the live event loop so server startup doesn't cancel them—writes keep flowing even when the stack is launched via llama stack run. Closes #4115 Added a matrix entry to test our "base" suite against Postgres as the store.
This commit is contained in:
Ashwin Bharambe
parent
56d87f5133
commit
81e44b06ff
27 changed files with 1195 additions and 160 deletions
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@ -0,0 +1,296 @@
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version: 2
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image_name: starter-gpu
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apis:
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- agents
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- batches
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- datasetio
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- eval
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- files
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- inference
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- post_training
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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: ${env.CEREBRAS_API_KEY:+cerebras}
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provider_type: remote::cerebras
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config:
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base_url: https://api.cerebras.ai
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api_key: ${env.CEREBRAS_API_KEY:=}
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- provider_id: ${env.OLLAMA_URL:+ollama}
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provider_type: remote::ollama
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config:
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url: ${env.OLLAMA_URL:=http://localhost:11434}
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- provider_id: ${env.VLLM_URL:+vllm}
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provider_type: remote::vllm
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config:
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url: ${env.VLLM_URL:=}
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max_tokens: ${env.VLLM_MAX_TOKENS:=4096}
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api_token: ${env.VLLM_API_TOKEN:=fake}
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tls_verify: ${env.VLLM_TLS_VERIFY:=true}
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- provider_id: ${env.TGI_URL:+tgi}
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provider_type: remote::tgi
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config:
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url: ${env.TGI_URL:=}
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- provider_id: fireworks
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provider_type: remote::fireworks
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config:
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url: https://api.fireworks.ai/inference/v1
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api_key: ${env.FIREWORKS_API_KEY:=}
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- provider_id: together
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provider_type: remote::together
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config:
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url: https://api.together.xyz/v1
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api_key: ${env.TOGETHER_API_KEY:=}
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- provider_id: bedrock
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provider_type: remote::bedrock
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config:
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api_key: ${env.AWS_BEDROCK_API_KEY:=}
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region_name: ${env.AWS_DEFAULT_REGION:=us-east-2}
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- provider_id: ${env.NVIDIA_API_KEY:+nvidia}
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provider_type: remote::nvidia
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config:
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url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com}
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api_key: ${env.NVIDIA_API_KEY:=}
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append_api_version: ${env.NVIDIA_APPEND_API_VERSION:=True}
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- provider_id: openai
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provider_type: remote::openai
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config:
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api_key: ${env.OPENAI_API_KEY:=}
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base_url: ${env.OPENAI_BASE_URL:=https://api.openai.com/v1}
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- provider_id: anthropic
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provider_type: remote::anthropic
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config:
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api_key: ${env.ANTHROPIC_API_KEY:=}
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- provider_id: gemini
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provider_type: remote::gemini
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config:
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api_key: ${env.GEMINI_API_KEY:=}
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- provider_id: ${env.VERTEX_AI_PROJECT:+vertexai}
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provider_type: remote::vertexai
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config:
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project: ${env.VERTEX_AI_PROJECT:=}
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location: ${env.VERTEX_AI_LOCATION:=us-central1}
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- provider_id: groq
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provider_type: remote::groq
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config:
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url: https://api.groq.com
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api_key: ${env.GROQ_API_KEY:=}
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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: ${env.AZURE_API_KEY:+azure}
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provider_type: remote::azure
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config:
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api_key: ${env.AZURE_API_KEY:=}
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api_base: ${env.AZURE_API_BASE:=}
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api_version: ${env.AZURE_API_VERSION:=}
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api_type: ${env.AZURE_API_TYPE:=}
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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: faiss
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provider_type: inline::faiss
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config:
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persistence:
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namespace: vector_io::faiss
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backend: kv_default
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- provider_id: sqlite-vec
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provider_type: inline::sqlite-vec
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config:
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db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter-gpu}/sqlite_vec.db
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persistence:
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namespace: vector_io::sqlite_vec
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backend: kv_default
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- provider_id: ${env.MILVUS_URL:+milvus}
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provider_type: inline::milvus
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config:
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db_path: ${env.MILVUS_DB_PATH:=~/.llama/distributions/starter-gpu}/milvus.db
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persistence:
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namespace: vector_io::milvus
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backend: kv_default
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- provider_id: ${env.CHROMADB_URL:+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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- provider_id: ${env.PGVECTOR_DB:+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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persistence:
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namespace: vector_io::pgvector
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backend: kv_default
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- provider_id: ${env.QDRANT_URL:+qdrant}
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provider_type: remote::qdrant
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config:
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api_key: ${env.QDRANT_API_KEY:=}
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persistence:
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namespace: vector_io::qdrant_remote
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backend: kv_default
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- provider_id: ${env.WEAVIATE_CLUSTER_URL:+weaviate}
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provider_type: remote::weaviate
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config:
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weaviate_api_key: null
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weaviate_cluster_url: ${env.WEAVIATE_CLUSTER_URL:=localhost:8080}
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persistence:
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namespace: vector_io::weaviate
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backend: kv_default
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files:
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- provider_id: meta-reference-files
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provider_type: inline::localfs
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config:
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storage_dir: ${env.FILES_STORAGE_DIR:=~/.llama/distributions/starter-gpu/files}
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metadata_store:
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table_name: files_metadata
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backend: sql_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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- provider_id: code-scanner
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provider_type: inline::code-scanner
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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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post_training:
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- provider_id: huggingface-gpu
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provider_type: inline::huggingface-gpu
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config:
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checkpoint_format: huggingface
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distributed_backend: null
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device: cpu
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dpo_output_dir: ~/.llama/distributions/starter-gpu/dpo_output
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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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- provider_id: rag-runtime
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provider_type: inline::rag-runtime
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- provider_id: model-context-protocol
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provider_type: remote::model-context-protocol
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batches:
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- provider_id: reference
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provider_type: inline::reference
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config:
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kvstore:
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namespace: batches
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backend: kv_default
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storage:
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backends:
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kv_default:
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type: kv_postgres
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host: ${env.POSTGRES_HOST:=localhost}
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port: ${env.POSTGRES_PORT:=5432}
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db: ${env.POSTGRES_DB:=llamastack}
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user: ${env.POSTGRES_USER:=llamastack}
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password: ${env.POSTGRES_PASSWORD:=llamastack}
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table_name: ${env.POSTGRES_TABLE_NAME:=llamastack_kvstore}
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sql_default:
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type: sql_postgres
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host: ${env.POSTGRES_HOST:=localhost}
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port: ${env.POSTGRES_PORT:=5432}
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db: ${env.POSTGRES_DB:=llamastack}
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user: ${env.POSTGRES_USER:=llamastack}
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password: ${env.POSTGRES_PASSWORD:=llamastack}
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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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prompts:
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namespace: prompts
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backend: kv_default
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registered_resources:
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models: []
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shields:
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- shield_id: llama-guard
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provider_id: ${env.SAFETY_MODEL:+llama-guard}
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provider_shield_id: ${env.SAFETY_MODEL:=}
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- shield_id: code-scanner
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provider_id: ${env.CODE_SCANNER_MODEL:+code-scanner}
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provider_shield_id: ${env.CODE_SCANNER_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: tavily-search
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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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telemetry:
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enabled: true
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vector_stores:
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default_provider_id: faiss
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default_embedding_model:
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provider_id: sentence-transformers
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model_id: nomic-ai/nomic-embed-text-v1.5
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safety:
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default_shield_id: llama-guard
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