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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
31 lines
1.2 KiB
Text
31 lines
1.2 KiB
Text
---
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description: "Remote vLLM inference provider for connecting to vLLM servers."
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sidebar_label: Remote - Vllm
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title: remote::vllm
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---
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# remote::vllm
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## Description
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Remote vLLM inference provider for connecting to vLLM servers.
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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 API token |
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| `url` | `str \| None` | No | | The URL for the vLLM model serving endpoint |
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| `max_tokens` | `<class 'int'>` | No | 4096 | Maximum number of tokens to generate. |
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| `tls_verify` | `bool \| str` | No | True | Whether to verify TLS certificates. Can be a boolean or a path to a CA certificate file. |
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## Sample Configuration
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```yaml
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url: ${env.VLLM_URL:=}
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max_tokens: ${env.VLLM_MAX_TOKENS:=4096}
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api_token: ${env.VLLM_API_TOKEN:=fake}
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tls_verify: ${env.VLLM_TLS_VERIFY:=true}
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```
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