# Conversations

Conversations are automatically created when you use the `/chat` endpoint. Each conversation has a unique ID and maintains chat history for follow-up questions.

***

## List conversations

`GET` `https://api.knowbase.ai/api/v1/conversations`

Returns all conversations with titles and message counts, ordered by most recent.

#### Query parameters

| Name        | Type   | Required | Description                                                                           |
| ----------- | ------ | -------- | ------------------------------------------------------------------------------------- |
| session\_id | string | No       | Filter to one user's conversations only. See [Filter by session](#filter-by-session). |

#### Response (200: OK)

```json
{
  "conversations": [
    {
      "id": "d4e5f6a7-b8c9-0123-def0-1234567890ab",
      "title": "What were the key revenue drivers...",
      "timestamp": "2025-03-15T14:30:00",
      "message_count": 4
    },
    {
      "id": "e5f6a7b8-c9d0-1234-ef01-234567890abc",
      "title": "Summarize the meeting notes",
      "timestamp": "2025-03-14T10:15:00",
      "message_count": 2
    }
  ]
}
```

### Filter by session

If you serve multiple end users under one API account (see [Per-user sessions](/api-reference/chat.md#per-user-sessions)), pass `?session_id=...` to fetch a single user's conversations only:

```
GET /api/v1/conversations?session_id=usr_42
```

The response only includes conversations whose messages were sent with that `session_id`. Use this to render a single user's chat history in your UI.

***

## Get conversation messages

`GET` `https://api.knowbase.ai/api/v1/conversations/{conversation_id}`

Returns all messages in a conversation in chronological order.

#### Response (200: OK)

```json
{
  "messages": [
    {
      "id": "msg-uuid-1",
      "question": "What were the key revenue drivers in Q4?",
      "answer": "Based on the Q4 report, the key revenue drivers were...",
      "sources": [...],
      "timestamp": "2025-03-15T14:30:00"
    },
    {
      "id": "msg-uuid-2",
      "question": "Can you elaborate on the SaaS growth?",
      "answer": "The SaaS subscription revenue grew 23% YoY...",
      "sources": [...],
      "timestamp": "2025-03-15T14:31:00"
    }
  ]
}
```

***

## Delete a conversation

`DELETE` `https://api.knowbase.ai/api/v1/conversations/{conversation_id}`

Permanently deletes a conversation and all its messages.

#### Response (200: OK)

```json
{
  "deleted": 4
}
```

### Example

```python
import requests

TOKEN = "YOUR_API_TOKEN"
BASE = "https://api.knowbase.ai/api/v1"
headers = {"Authorization": f"Bearer {TOKEN}"}

# List conversations
convos = requests.get(f"{BASE}/conversations", headers=headers).json()
for c in convos["conversations"]:
    print(f"{c['title']} ({c['message_count']} messages)")

# Get messages for a conversation
messages = requests.get(
    f"{BASE}/conversations/{convos['conversations'][0]['id']}", headers=headers
).json()
for msg in messages["messages"]:
    print(f"Q: {msg['question']}")
    print(f"A: {msg['answer'][:100]}...\n")
```


---

# 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.knowbase.ai/api-reference/conversations.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.