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28 lines
1,008 B
Markdown
28 lines
1,008 B
Markdown
# Sentry Tutorial
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[Sentry](https://sentry.io/) provides error monitoring for production. LiteLLM can add breadcrumbs and send exceptions to Sentry with this integration
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This works on normal, async and streaming completion calls
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### usage
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```python
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import litellm
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from litellm import completion
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litellm.set_verbose = True
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litellm.input_callback=["sentry"] # adds sentry breadcrumbing
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litellm.failure_callback=["sentry"] # [OPTIONAL] if you want litellm to capture -> send exception to sentry
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import os
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os.environ["SENTRY_API_URL"] = "your-sentry-url"
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os.environ["OPENAI_API_KEY"] = "your-openai-key"
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# set bad key to trigger error
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api_key="bad-key"
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response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hey!"}], stream=True, api_key=api_key)
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print(response)
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```
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[Let us know](https://github.com/BerriAI/litellm/issues/new?assignees=&labels=enhancement&projects=&template=feature_request.yml&title=%5BFeature%5D%3A+) if you need any additional options from Sentry.
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