# Analytic

***

Flowise provides step by step tracing for [Agentflow V2](/using-flowise/agentflowv2.md):

<figure><img src="/files/yckGEQGDRdIowWibNE34" alt=""><figcaption></figcaption></figure>

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**

<figure><img src="/files/SHfE0tY1BkbFufIz9pzc" alt="Screenshot of user clicking in the configuration menu" width="375"><figcaption></figcaption></figure>

2. Then go to the Analyse Chatflow section

<figure><img src="/files/a0iOf2E3JodiexG9o3vv" alt="Screenshot of the Analyse Chatflow section with the different Analytics providers"><figcaption></figcaption></figure>

3. You will see a list of providers, along with their configuration fields

<figure><img src="/files/2I3ooO8i8Bzwcu5YeRgY" alt="Screenshot of an analytics provider with credentials fields expanded"><figcaption></figcaption></figure>

4. Fill in the credentials and other configuration details, then turn the provider **ON**. Click Save.

<figure><img src="/files/vxPSSU4oPD9BJYlkDFih" alt="Screenshot of analytics providers enabled"><figcaption></figcaption></figure>

## 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"
      }
    }
  }
}
```


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.flowiseai.com/using-flowise/analytics.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.