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Getting Started now has transform utils to show how requests are transformed in litellm
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docs/my-website/docs/index.md

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@@ -524,6 +524,15 @@ try:
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except OpenAIError as e:
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print(e)
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```
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### See How LiteLLM Transforms Your Requests
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Want to understand how LiteLLM parses and normalizes your LLM API requests? Use the `/utils/transform_request` endpoint to see exactly how your request is transformed internally.
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You can try it out now directly on our Demo App!
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Go to the [LiteLLM API docs for transform_request](https://litellm-api.up.railway.app/#/llm%20utils/transform_request_utils_transform_request_post)
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LiteLLM will show you the normalized, provider-agnostic version of your request. This is useful for debugging, learning, and understanding how LiteLLM handles different providers and options.
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### Logging Observability - Log LLM Input/Output ([Docs](https://docs.litellm.ai/docs/observability/callbacks))
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LiteLLM exposes pre defined callbacks to send data to Lunary, MLflow, Langfuse, Helicone, Promptlayer, Traceloop, Slack

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