# Local Debugging There's 2 ways to do local debugging - `litellm.set_verbose=True` and by passing in a custom function `completion(...logger_fn=)`. Warning: Make sure to not use `set_verbose` in production. It logs API keys, which might end up in log files. ## Set Verbose This is good for getting print statements for everything litellm is doing. ```python import litellm from litellm import completion litellm.set_verbose=True # 👈 this is the 1-line change you need to make ## set ENV variables os.environ["OPENAI_API_KEY"] = "openai key" os.environ["COHERE_API_KEY"] = "cohere key" messages = [{ "content": "Hello, how are you?","role": "user"}] # openai call response = completion(model="gpt-3.5-turbo", messages=messages) # cohere call response = completion("command-nightly", messages) ``` ## JSON Logs If you need to store the logs as JSON, just set the `litellm.json_logs = True`. We currently just log the raw POST request from litellm as a JSON - [**See Code**]. [Share feedback here](https://github.com/BerriAI/litellm/issues) ## Logger Function But sometimes all you care about is seeing exactly what's getting sent to your api call and what's being returned - e.g. if the api call is failing, why is that happening? what are the exact params being set? In that case, LiteLLM allows you to pass in a custom logging function to see / modify the model call Input/Outputs. **Note**: We expect you to accept a dict object. Your custom function ```python def my_custom_logging_fn(model_call_dict): print(f"model call details: {model_call_dict}") ``` ### Complete Example ```python from litellm import completion def my_custom_logging_fn(model_call_dict): print(f"model call details: {model_call_dict}") ## set ENV variables os.environ["OPENAI_API_KEY"] = "openai key" os.environ["COHERE_API_KEY"] = "cohere key" messages = [{ "content": "Hello, how are you?","role": "user"}] # openai call response = completion(model="gpt-3.5-turbo", messages=messages, logger_fn=my_custom_logging_fn) # cohere call response = completion("command-nightly", messages, logger_fn=my_custom_logging_fn) ``` ## Still Seeing Issues? Text us @ +17708783106 or Join the [Discord](https://discord.com/invite/wuPM9dRgDw). We promise to help you in `lite`ning speed ❤️