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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
30 lines
1.2 KiB
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30 lines
1.2 KiB
Text
---
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description: "IBM WatsonX inference provider for accessing AI models on IBM's WatsonX platform."
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sidebar_label: Remote - Watsonx
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title: remote::watsonx
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---
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# remote::watsonx
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## Description
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IBM WatsonX inference provider for accessing AI models on IBM's WatsonX 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_key` | `pydantic.types.SecretStr \| None` | No | | Authentication credential for the provider |
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| `url` | `<class 'str'>` | No | https://us-south.ml.cloud.ibm.com | A base url for accessing the watsonx.ai |
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| `project_id` | `str \| None` | No | | The watsonx.ai project ID |
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| `timeout` | `<class 'int'>` | No | 60 | Timeout for the HTTP requests |
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## Sample Configuration
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```yaml
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url: ${env.WATSONX_BASE_URL:=https://us-south.ml.cloud.ibm.com}
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api_key: ${env.WATSONX_API_KEY:=}
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project_id: ${env.WATSONX_PROJECT_ID:=}
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```
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