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dragos199993 merged 1 commit into from
May 21, 2026
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docs: add cost_quality_tradeoff parameter example to README #51

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18 changes: 18 additions & 0 deletions README.md
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Expand Up @@ -164,6 +164,24 @@ response = client.model_router.select_model(
print(response.providers)
```

#### Fine-grained cost/quality control

For more granular control over the cost-quality tradeoff, use `cost_quality_tradeoff` (0–10 scale):

```python
response = client.model_router.select_model(
llm_providers=[
{"model": "gpt-4o", "provider": "openai"},
{"model": "gpt-4o-mini", "provider": "openai"},
],
messages=[
{"role": "user", "content": "Summarize this article: ..."},
],
cost_quality_tradeoff=5, # 0 = pure quality (default), 10 = cheapest model
)
print(response.providers)
```

### Train Custom Router

For even better performance, you can train a custom router on your own dataset. This allows the router to learn the specific patterns and preferences of your use case:
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