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0066d986c5
# What does this PR do? use SecretStr for OpenAIMixin providers - RemoteInferenceProviderConfig now has auth_credential: SecretStr - the default alias is api_key (most common name) - some providers override to use api_token (RunPod, vLLM, Databricks) - some providers exclude it (Ollama, TGI, Vertex AI) addresses #3517 ## Test Plan ci w/ new tests
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972 B
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27 lines
972 B
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---
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description: "Databricks inference provider for running models on Databricks' unified analytics platform."
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sidebar_label: Remote - Databricks
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title: remote::databricks
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---
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# remote::databricks
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## Description
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Databricks inference provider for running models on Databricks' unified analytics platform.
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## Configuration
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| Field | Type | Required | Default | Description |
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|-------|------|----------|---------|-------------|
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| `allowed_models` | `list[str \| None` | No | | List of models that should be registered with the model registry. If None, all models are allowed. |
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| `refresh_models` | `<class 'bool'>` | No | False | Whether to refresh models periodically from the provider |
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| `api_token` | `pydantic.types.SecretStr \| None` | No | | The Databricks API token |
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| `url` | `str \| None` | No | | The URL for the Databricks model serving endpoint |
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## Sample Configuration
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```yaml
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url: ${env.DATABRICKS_HOST:=}
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api_token: ${env.DATABRICKS_TOKEN:=}
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```
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