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Getting Started now has transform utils to show how requests are transformed in litellm

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@@ -524,6 +524,15 @@ try:
except OpenAIError as e:
print(e)
```
### See How LiteLLM Transforms Your Requests
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.
You can try it out now directly on our Demo App!
Go to the [LiteLLM API docs for transform_request](https://litellm-api.up.railway.app/#/llm%20utils/transform_request_utils_transform_request_post)
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.
### Logging Observability - Log LLM Input/Output ([Docs](https://docs.litellm.ai/docs/observability/callbacks))
LiteLLM exposes pre defined callbacks to send data to Lunary, MLflow, Langfuse, Helicone, Promptlayer, Traceloop, Slack