> For the complete documentation index, see [llms.txt](https://docs.flowiseai.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.flowiseai.com/using-flowise/analytics.md).
# Analytic
Learn how to analyze and troubleshoot your chatflows and agentflows
***
Flowise provides step by step tracing for [Agentflow V2](/using-flowise/agentflowv2.md):
Besides, there are also several analytic providers Flowise integrates with:
* [LunaryAI](https://lunary.ai/)
* [Langsmith](https://smith.langchain.com/)
* [Langfuse](https://langfuse.com/)
* [LangWatch](https://langwatch.ai/)
* [Arize](https://arize.com/)
* [Phoenix](https://phoenix.arize.com/)
* [Opik](https://www.comet.com/site/products/opik/)
## Setup
1. At the top right corner of your Chatflow or Agentflow, click **Settings** > **Configuration**
2. Then go to the Analyse Chatflow section
3. You will see a list of providers, along with their configuration fields
4. Fill in the credentials and other configuration details, then turn the provider **ON**. Click Save.
## API
Once the analytic has been turned ON from the UI, you can override or provide additional configuration in the body of the [Prediction API](https://github.com/FlowiseAI/FlowiseDocs/blob/main/en/using-flowise/analytics/api.md#prediction-api):
```json
{
"question": "hi there",
"overrideConfig": {
"analytics": {
"langFuse": {
// langSmith, langFuse, lunary, langWatch, opik
"userId": "user1"
}
}
}
}
```
---
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