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fix (docs): langwatch observability links (#4258)
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lgrammel authored Jan 3, 2025
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## Basic Concepts

- Each message triggering your LLM pipeline as a whole is captured with a [Trace](/concepts#traces).
- A [Trace](/concepts#traces) contains multiple [Spans](/concepts#spans), which are the steps inside your pipeline.
- Each message triggering your LLM pipeline as a whole is captured with a [Trace](https://docs.langwatch.ai/concepts#traces).
- A [Trace](https://docs.langwatch.ai/concepts#traces) contains multiple [Spans](https://docs.langwatch.ai/concepts#spans), which are the steps inside your pipeline.
- A span can be an LLM call, a database query for a RAG retrieval, or a simple function transformation.
- Different types of [Spans](/concepts#spans) capture different parameters.
- [Spans](/concepts#spans) can be nested to capture the pipeline structure.
- [Traces](/concepts#traces) can be grouped together on LangWatch Dashboard by having the same [`thread_id`](/concepts#threads) in their metadata, making the individual messages become part of a conversation.
- It is also recommended to provide the [`user_id`](/concepts#user-id) metadata to track user analytics.
- Different types of [Spans](https://docs.langwatch.ai/concepts#spans) capture different parameters.
- [Spans](https://docs.langwatch.ai/concepts#spans) can be nested to capture the pipeline structure.
- [Traces](https://docs.langwatch.ai/concepts#traces) can be grouped together on LangWatch Dashboard by having the same [`thread_id`](https://docs.langwatch.ai/concepts#threads) in their metadata, making the individual messages become part of a conversation.
- It is also recommended to provide the [`user_id`](https://docs.langwatch.ai/concepts#user-id) metadata to track user analytics.

## Configuration

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For more information and examples, you can read more below:

- [LangWatch documentation](https://langwatch.ai/docs)
- [LangWatch documentation](https://docs.langwatch.ai/)
- [LangWatch GitHub](https://github.com/langwatch/langwatch)

## Support
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