> For the complete documentation index, see [llms.txt](https://docs.virbe.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.virbe.ai/dashboard-management/conversation-flows/nodes/response-nodes/call-convai.md).

# Call ConvAI

This node allows you **to connect with third-party chatbot platforms,** custom NLP engines, or specialized conversation services when you need capabilities beyond the built-in LLM options.

#### Setting up Conv AI connections:

1. First, make sure you configure the external service connection (in "[Configurations](/dashboard-management/configurations/conversational-engines.md)" section)
2. Set up any required authentication

<figure><img src="/files/FJXEKC737rLUK1vfFjdH" alt=""><figcaption><p>Call Conv AI node</p></figcaption></figure>

#### Common use cases:

* Specialized chatbot integrations
* Custom NLP processing
* Industry-specific AI services
* Legacy system integration
* External recommendation engines


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# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://docs.virbe.ai/dashboard-management/conversation-flows/nodes/response-nodes/call-convai.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.