List conversations

List all conversations for the authenticated user with pagination support.

GET /api/v1/llm/conversations

Python (SDK)

Python

from mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.llm.conversations.list(after="conv_abc123", limit=20, order="desc", metadata={
        "user_type": "premium",
    }, search="weather forecast")

    # Handle response
    print(res)

200

{
  "object": "list",
  "data": [
    {
      "id": "conv_abc123",
      "object": "conversation",
      "created_at": 1704067200,
      "metadata": {
        "session_id": "sess_abc123",
        "user_type": "premium"
      }
    }
  ],
  "has_more": false,
  "last_id": "conv_abc123"
}

Authorizations

Authorization · string · header · required

Gateway auth: send Authorization: Bearer <mka1-api-key>. For multi-user server-side integrations, you can also send X-On-Behalf-Of: <external-user-id>.

Headers

X-On-Behalf-Of · string

Optional external end-user identifier forwarded by the API gateway.

Query Parameters

after · string

Conversation ID to list conversations after (pagination cursor)

Example:

"conv_abc123"

limit · integer · default: 20

Max number of conversations to return (1-50, default 20)

Required range: 1 <= x <= 50

Example:

20

order · enum<string> · default: asc

Sort order by last updated timestamp: asc (oldest first) or desc (newest first)

Available options: asc, desc

Example:

"desc"

metadata · string object

Filter conversations by metadata key-value pairs (JSON string or object). Only conversations with matching metadata will be returned.

Example:

{ "user_type": "premium" }

search · string

Search query to find conversations by content. Uses full-text search across conversation items.

Example:

"weather forecast"

Response

200 - application/json

OK

object · any · required

data · object[] · required

Array of conversations

Show child attributes

has_more · boolean · required

Whether there are more conversations

last_id · string

ID of the last conversation in the current page