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# 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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27 lines
1 KiB
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---
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description: "Llama OpenAI-compatible provider for using Llama models with OpenAI API format."
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sidebar_label: Remote - Llama-Openai-Compat
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title: remote::llama-openai-compat
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---
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# remote::llama-openai-compat
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## Description
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Llama OpenAI-compatible provider for using Llama models with OpenAI API format.
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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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| `openai_compat_api_base` | `<class 'str'>` | No | https://api.llama.com/compat/v1/ | The URL for the Llama API server |
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## Sample Configuration
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```yaml
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openai_compat_api_base: https://api.llama.com/compat/v1/
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api_key: ${env.LLAMA_API_KEY}
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```
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