Merge branch 'main' into patch-1

docs/source/distributions/importing_as_library.md

@@ -13,7 +13,7 @@ llama stack build --template starter --image-type venv
 from llama_stack.distribution.library_client import LlamaStackAsLibraryClient
 
 client = LlamaStackAsLibraryClient(
-    "ollama",
+    "starter",
     # provider_data is optional, but if you need to pass in any provider specific data, you can do so here.
     provider_data={"tavily_search_api_key": os.environ["TAVILY_SEARCH_API_KEY"]},
 )

docs/source/providers/external.md

@@ -12,8 +12,7 @@ To enable external providers, you need to add `module` into your build yaml, all
 an example entry in your build.yaml should look like:
 
 ```
-- provider_id: ramalama
-  provider_type: remote::ramalama
+- provider_type: remote::ramalama
   module: ramalama_stack
 ```
 
@@ -255,8 +254,7 @@ distribution_spec:
   container_image: null
   providers:
     inference:
-    - provider_id: ramalama
-      provider_type: remote::ramalama
+    - provider_type: remote::ramalama
       module: ramalama_stack==0.3.0a0
 image_type: venv
 image_name: null

docs/source/providers/inference/remote_openai.md

@@ -9,11 +9,13 @@ OpenAI inference provider for accessing GPT models and other OpenAI services.
 | Field | Type | Required | Default | Description |
 |-------|------|----------|---------|-------------|
 | `api_key` | `str \| None` | No |  | API key for OpenAI models |
+| `base_url` | `<class 'str'>` | No | https://api.openai.com/v1 | Base URL for OpenAI API |
 
 ## Sample Configuration
 
 ```yaml
 api_key: ${env.OPENAI_API_KEY:=}
+base_url: ${env.OPENAI_BASE_URL:=https://api.openai.com/v1}
 
 ```