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A bunch of miscellaneous cleanup focusing on tests, but ended up speeding up starter distro substantially. - Pulled llama stack client init for tests into `pytest_sessionstart` so it does not clobber output - Profiling of that told me where we were doing lots of heavy imports for starter, so lazied them - starter now starts 20seconds+ faster on my Mac - A few other smallish refactors for `compat_client`
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remote::hf::endpoint
Description
HuggingFace Inference Endpoints provider for dedicated model serving.
Configuration
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
endpoint_name |
<class 'str'> |
No | The name of the Hugging Face Inference Endpoint in the format of '{namespace}/{endpoint_name}' (e.g. 'my-cool-org/meta-llama-3-1-8b-instruct-rce'). Namespace is optional and will default to the user account if not provided. | |
api_token |
pydantic.types.SecretStr | None |
No | Your Hugging Face user access token (will default to locally saved token if not provided) |
Sample Configuration
endpoint_name: ${env.INFERENCE_ENDPOINT_NAME}
api_token: ${env.HF_API_TOKEN}