> For the complete documentation index, see [llms.txt](https://gitbook.com/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://gitbook.com/docs/developers/gitbook-api/api-reference/organizations/provision-an-ai-agent-conversation-in-an-organization.md).

# Provision an AI agent conversation in an organization

Prepares a conversation so the client can connect to it, giving the agent the credentials it acts with. Call this before opening a conversation; connecting to one that was never provisioned yields an agent whose tools all fail. The conversation itself is only recorded once the user sends a first message, so opening the agent and closing it again leaves nothing behind. Safe to call again to refresh an expiring session.

```json
{"openapi":"3.1.0","info":{"title":"GitBook API","version":"0.0.1-beta"},"tags":[{"name":"organizations","description":"The Organizations API provides a robust way to handle the administrative structure of your GitBook workspace. By creating and configuring organizations, you can group multiple users, spaces, and collections, simplifying your permission management and fostering efficient collaboration for teams of any size.\n\n{% openapi-schemas spec=\"gitbook\" schemas=\"Organization\" grouped=\"false\" %}\n    The Organization object\n{% endopenapi-schemas %}\n"}],"servers":[{"url":"{host}/v1","variables":{"host":{"default":"https://api.gitbook.com"}}}],"security":[{"user":[]}],"components":{"securitySchemes":{"user":{"type":"http","scheme":"bearer"}},"parameters":{"organizationId":{"name":"organizationId","in":"path","required":true,"description":"The unique id of the organization","schema":{"$ref":"#/components/schemas/EntityId"}},"conversationId":{"name":"conversationId","in":"path","required":true,"description":"The unique ID of the agent conversation (its client-generated local id, or \"default\" for the default conversation)","schema":{"type":"string"}}},"schemas":{"EntityId":{"type":"string","pattern":"^[a-zA-Z0-9_-]+$","description":"A unique entity identifier"}}},"paths":{"/orgs/{organizationId}/agent/conversations/{conversationId}":{"put":{"operationId":"provisionOrganizationAgentConversation","summary":"Provision an AI agent conversation in an organization","description":"Prepares a conversation so the client can connect to it, giving the agent the credentials it acts with. Call this before opening a conversation; connecting to one that was never provisioned yields an agent whose tools all fail. The conversation itself is only recorded once the user sends a first message, so opening the agent and closing it again leaves nothing behind. Safe to call again to refresh an expiring session.","tags":["organizations","agents"],"parameters":[{"$ref":"#/components/parameters/organizationId"},{"$ref":"#/components/parameters/conversationId"}],"responses":{"204":{"description":"The conversation is ready to be connected to."}}}}}}
```


---

# 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://gitbook.com/docs/developers/gitbook-api/api-reference/organizations/provision-an-ai-agent-conversation-in-an-organization.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.
