llama-stack-mirror/src/llama_stack/distributions/starter-gpu/run.yaml
Charlie Doern d5cd0eea14
feat!: standardize base_url for inference (#4177)
# What does this PR do?

Completes #3732 by removing runtime URL transformations and requiring
users to provide full URLs in configuration. All providers now use
'base_url' consistently and respect the exact URL provided without
appending paths like /v1 or /openai/v1 at runtime.

BREAKING CHANGE: Users must update configs to include full URL paths
(e.g., http://localhost:11434/v1 instead of http://localhost:11434).

Closes #3732 

## Test Plan

Existing tests should pass even with the URL changes, due to default
URLs being altered.

Add unit test to enforce URL standardization across remote inference
providers (verifies all use 'base_url' field with HttpUrl | None type)

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-11-19 08:44:28 -08:00

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_BEDROCK_API_KEY:=}
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