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fix: updates to traceloop docs
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# Traceloop Tutorial
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import Image from '@theme/IdealImage';
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# Traceloop (OpenLLMetry) - Tracing LLMs with OpenTelemetry
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[Traceloop](https://traceloop.com) is a platform for monitoring and debugging the quality of your LLM outputs.
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It provides you with a way to track the performance of your LLM application; rollout changes with confidence; and debug issues in production.
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## Getting Started
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First, sign up to get an API key on the [Traceloop dashboard](https://app.traceloop.com).
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While Traceloop is still in beta, [ping them](nir@traceloop.com) and mention you're using LiteLLM to get your early access code.
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First, sign up to get an API key on the [Traceloop dashboard](https://app.traceloop.com/settings/api-keys).
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Then, install the Traceloop SDK:
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To get better visualizations on how your code behaves, you may want to annotate specific parts of your LLM chain. See [Traceloop docs on decorators](https://traceloop.com/docs/python-sdk/decorators) for more information.
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Here's an example PR for such integration: https://github.com/Codium-ai/pr-agent/pull/244
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## Exporting traces to other systems (e.g. Datadog, New Relic, and others)
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Since Traceloop DK uses OpenTelemetry to send data, you can easily export your traces to other systems, such as Datadog, New Relic, and others. See [Traceloop docs on exporters](https://traceloop.com/docs/python-sdk/exporters) for more information.
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## Support
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