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docs: add Tuning Engines OpenAI-compatible example #12447

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17 changes: 17 additions & 0 deletions docs/customize/model-providers/top-level/openai.mdx
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Expand Up @@ -61,6 +61,7 @@ OpenAI API compatible providers include
- [vLLM](https://docs.vllm.ai/en/latest/serving/openai_compatible_server.html)
- [BerriAI/litellm](https://github.com/BerriAI/litellm)
- [Tetrate Agent Router Service](https://router.tetrate.ai)
- [Tuning Engines](https://tuningengines.com)

If you are using an OpenAI API compatible providers, you can change the `apiBase` like this:

Expand Down Expand Up @@ -96,6 +97,22 @@ If you are using an OpenAI API compatible providers, you can change the `apiBase
</Tab>
</Tabs>

For Tuning Engines, use the hosted OpenAI-compatible endpoint and an inference
key from your workspace:

```yaml title="config.yaml"
name: My Config
version: 0.0.1
schema: v1

models:
- name: Tuning Engines
provider: openai
model: <YOUR_MODEL_ALIAS>
apiBase: https://api.tuningengines.com/v1
apiKey: <YOUR_TUNING_ENGINES_INFERENCE_KEY>
```

### How to Force Legacy Completions Endpoint Usage

To force usage of `completions` instead of `chat/completions` endpoint you can set:
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