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liteLLM provides `input_callbacks`, `success_callbacks` and `failure_callbacks`, making it easy for you to send data to a particular provider depending on the status of your responses.
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:::tip
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**New to LiteLLM Callbacks?** Check out our comprehensive [Callback Management Guide](./callback_management.md) to understand when to use different callback hooks like `async_log_success_event` vs `async_post_call_success_hook`.
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**New to LiteLLM Callbacks?**
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- For proxy/server logging and observability, see the [Proxy Logging Guide](https://docs.litellm.ai/docs/proxy/logging).
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- To write your own callback logic, see the [Custom Callbacks Guide](https://docs.litellm.ai/docs/observability/custom_callback).
This is **not** an extensive list. Please check the dropdown for all logging integrations.
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### Related Cookbooks
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Try out our cookbooks for code snippets and interactive demos:
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-[Langfuse Callback Example (Colab)](https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/logging_observability/LiteLLM_Langfuse.ipynb)
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-[Lunary Callback Example (Colab)](https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/logging_observability/LiteLLM_Lunary.ipynb)
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-[Arize Callback Example (Colab)](https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/logging_observability/LiteLLM_Arize.ipynb)
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-[Proxy + Langfuse Callback Example (Colab)](https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/logging_observability/LiteLLM_Proxy_Langfuse.ipynb)
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-[PromptLayer Callback Example (Colab)](https://colab.research.google.com/github/BerriAI/litellm/blob/main/cookbook/LiteLLM_PromptLayer.ipynb)
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