llama-stack-mirror/src/llama_stack/distributions/starter-gpu/run.yaml
Ken Dreyer dc4665af17
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feat!: change bedrock bearer token env variable to match AWS docs & boto3 convention (#4152)
Rename `AWS_BEDROCK_API_KEY` to `AWS_BEARER_TOKEN_BEDROCK` to align with
the naming convention used in AWS Bedrock documentation and the AWS web
console UI. This reduces confusion when developers compare LLS docs with
AWS docs.

Closes #4147
2025-11-21 09:48:05 -05:00

286 lines
8.3 KiB
YAML

version: 2
image_name: starter-gpu
apis:
- agents
- batches
- datasetio
- eval
- files
- inference
- post_training
- safety
- scoring
- tool_runtime
- vector_io
providers:
inference:
- provider_id: ${env.CEREBRAS_API_KEY:+cerebras}
provider_type: remote::cerebras
config:
base_url: https://api.cerebras.ai/v1
api_key: ${env.CEREBRAS_API_KEY:=}
- provider_id: ${env.OLLAMA_URL:+ollama}
provider_type: remote::ollama
config:
base_url: ${env.OLLAMA_URL:=http://localhost:11434/v1}
- provider_id: ${env.VLLM_URL:+vllm}
provider_type: remote::vllm
config:
base_url: ${env.VLLM_URL:=}
max_tokens: ${env.VLLM_MAX_TOKENS:=4096}
api_token: ${env.VLLM_API_TOKEN:=fake}
tls_verify: ${env.VLLM_TLS_VERIFY:=true}
- provider_id: ${env.TGI_URL:+tgi}
provider_type: remote::tgi
config:
base_url: ${env.TGI_URL:=}
- provider_id: fireworks
provider_type: remote::fireworks
config:
base_url: https://api.fireworks.ai/inference/v1
api_key: ${env.FIREWORKS_API_KEY:=}
- provider_id: together
provider_type: remote::together
config:
base_url: https://api.together.xyz/v1
api_key: ${env.TOGETHER_API_KEY:=}
- provider_id: bedrock
provider_type: remote::bedrock
config:
api_key: ${env.AWS_BEARER_TOKEN_BEDROCK:=}
region_name: ${env.AWS_DEFAULT_REGION:=us-east-2}
- provider_id: ${env.NVIDIA_API_KEY:+nvidia}
provider_type: remote::nvidia
config:
base_url: ${env.NVIDIA_BASE_URL:=https://integrate.api.nvidia.com/v1}
api_key: ${env.NVIDIA_API_KEY:=}
- provider_id: openai
provider_type: remote::openai
config:
api_key: ${env.OPENAI_API_KEY:=}
base_url: ${env.OPENAI_BASE_URL:=https://api.openai.com/v1}
- provider_id: anthropic
provider_type: remote::anthropic
config:
api_key: ${env.ANTHROPIC_API_KEY:=}
- provider_id: gemini
provider_type: remote::gemini
config:
api_key: ${env.GEMINI_API_KEY:=}
- provider_id: ${env.VERTEX_AI_PROJECT:+vertexai}
provider_type: remote::vertexai
config:
project: ${env.VERTEX_AI_PROJECT:=}
location: ${env.VERTEX_AI_LOCATION:=us-central1}
- provider_id: groq
provider_type: remote::groq
config:
base_url: https://api.groq.com/openai/v1
api_key: ${env.GROQ_API_KEY:=}
- provider_id: sambanova
provider_type: remote::sambanova
config:
base_url: https://api.sambanova.ai/v1
api_key: ${env.SAMBANOVA_API_KEY:=}
- provider_id: ${env.AZURE_API_KEY:+azure}
provider_type: remote::azure
config:
api_key: ${env.AZURE_API_KEY:=}
base_url: ${env.AZURE_API_BASE:=}
api_version: ${env.AZURE_API_VERSION:=}
api_type: ${env.AZURE_API_TYPE:=}
- provider_id: sentence-transformers
provider_type: inline::sentence-transformers
vector_io:
- provider_id: faiss
provider_type: inline::faiss
config:
persistence:
namespace: vector_io::faiss
backend: kv_default
- provider_id: sqlite-vec
provider_type: inline::sqlite-vec
config:
db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter-gpu}/sqlite_vec.db
persistence:
namespace: vector_io::sqlite_vec
backend: kv_default
- provider_id: ${env.MILVUS_URL:+milvus}
provider_type: inline::milvus
config:
db_path: ${env.MILVUS_DB_PATH:=~/.llama/distributions/starter-gpu}/milvus.db
persistence:
namespace: vector_io::milvus
backend: kv_default
- provider_id: ${env.CHROMADB_URL:+chromadb}
provider_type: remote::chromadb
config:
url: ${env.CHROMADB_URL:=}
persistence:
namespace: vector_io::chroma_remote
backend: kv_default
- provider_id: ${env.PGVECTOR_DB:+pgvector}
provider_type: remote::pgvector
config:
host: ${env.PGVECTOR_HOST:=localhost}
port: ${env.PGVECTOR_PORT:=5432}
db: ${env.PGVECTOR_DB:=}
user: ${env.PGVECTOR_USER:=}
password: ${env.PGVECTOR_PASSWORD:=}
persistence:
namespace: vector_io::pgvector
backend: kv_default
- provider_id: ${env.QDRANT_URL:+qdrant}
provider_type: remote::qdrant
config:
api_key: ${env.QDRANT_API_KEY:=}
persistence:
namespace: vector_io::qdrant_remote
backend: kv_default
- provider_id: ${env.WEAVIATE_CLUSTER_URL:+weaviate}
provider_type: remote::weaviate
config:
weaviate_api_key: null
weaviate_cluster_url: ${env.WEAVIATE_CLUSTER_URL:=localhost:8080}
persistence:
namespace: vector_io::weaviate
backend: kv_default
files:
- provider_id: meta-reference-files
provider_type: inline::localfs
config:
storage_dir: ${env.FILES_STORAGE_DIR:=~/.llama/distributions/starter-gpu/files}
metadata_store:
table_name: files_metadata
backend: sql_default
safety:
- provider_id: llama-guard
provider_type: inline::llama-guard
config:
excluded_categories: []
- provider_id: code-scanner
provider_type: inline::code-scanner
agents:
- provider_id: meta-reference
provider_type: inline::meta-reference
config:
persistence:
agent_state:
namespace: agents
backend: kv_default
responses:
table_name: responses
backend: sql_default
max_write_queue_size: 10000
num_writers: 4
post_training:
- provider_id: huggingface-gpu
provider_type: inline::huggingface-gpu
config:
checkpoint_format: huggingface
distributed_backend: null
device: cpu
dpo_output_dir: ~/.llama/distributions/starter-gpu/dpo_output
eval:
- provider_id: meta-reference
provider_type: inline::meta-reference
config:
kvstore:
namespace: eval
backend: kv_default
datasetio:
- provider_id: huggingface
provider_type: remote::huggingface
config:
kvstore:
namespace: datasetio::huggingface
backend: kv_default
- provider_id: localfs
provider_type: inline::localfs
config:
kvstore:
namespace: datasetio::localfs
backend: kv_default
scoring:
- provider_id: basic
provider_type: inline::basic
- provider_id: llm-as-judge
provider_type: inline::llm-as-judge
- provider_id: braintrust
provider_type: inline::braintrust
config:
openai_api_key: ${env.OPENAI_API_KEY:=}
tool_runtime:
- provider_id: brave-search
provider_type: remote::brave-search
config:
api_key: ${env.BRAVE_SEARCH_API_KEY:=}
max_results: 3
- provider_id: tavily-search
provider_type: remote::tavily-search
config:
api_key: ${env.TAVILY_SEARCH_API_KEY:=}
max_results: 3
- provider_id: rag-runtime
provider_type: inline::rag-runtime
- provider_id: model-context-protocol
provider_type: remote::model-context-protocol
batches:
- provider_id: reference
provider_type: inline::reference
config:
kvstore:
namespace: batches
backend: kv_default
storage:
backends:
kv_default:
type: kv_sqlite
db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter-gpu}/kvstore.db
sql_default:
type: sql_sqlite
db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/starter-gpu}/sql_store.db
stores:
metadata:
namespace: registry
backend: kv_default
inference:
table_name: inference_store
backend: sql_default
max_write_queue_size: 10000
num_writers: 4
conversations:
table_name: openai_conversations
backend: sql_default
prompts:
namespace: prompts
backend: kv_default
registered_resources:
models: []
shields:
- shield_id: llama-guard
provider_id: ${env.SAFETY_MODEL:+llama-guard}
provider_shield_id: ${env.SAFETY_MODEL:=}
- shield_id: code-scanner
provider_id: ${env.CODE_SCANNER_MODEL:+code-scanner}
provider_shield_id: ${env.CODE_SCANNER_MODEL:=}
vector_dbs: []
datasets: []
scoring_fns: []
benchmarks: []
tool_groups:
- toolgroup_id: builtin::websearch
provider_id: tavily-search
- toolgroup_id: builtin::rag
provider_id: rag-runtime
server:
port: 8321
telemetry:
enabled: true
vector_stores:
default_provider_id: faiss
default_embedding_model:
provider_id: sentence-transformers
model_id: nomic-ai/nomic-embed-text-v1.5
safety:
default_shield_id: llama-guard