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GET
/
conversations
/
{conversation_id}
Python
import os
from datagrid_ai import Datagrid

client = Datagrid(
    api_key=os.environ.get("DATAGRID_API_KEY"),  # This is the default and can be omitted
)
conversation = client.conversations.retrieve(
    "conversation_id",
)
print(conversation.id)
{
  "object": "conversation",
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "name": "<string>",
  "agent_ids": [
    "<string>"
  ],
  "participated_agent_ids": [
    "<string>"
  ]
}

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

​
conversation_id
string
required

The id of the conversation to retrieve.

Response

Retrieved conversation

The conversation object represents a conversation with an AI agent.

​
object
enum<string>
required

The object type, which is always conversation.

Available options:
conversation
​
id
string
required

The conversation identifier, which can be referenced in the API endpoints.

​
created_at
string<date-time>
required

The ISO string for when the conversation was created.

​
updated_at
string<date-time>
required

The ISO string for when the conversation was last updated.

​
name
string

The name of the conversation.

​
agent_ids
string[]

Array of agent IDs currently assigned to this conversation.

​
participated_agent_ids
string[]

Array of agent IDs that have previously responded in this conversation. This list only grows and is never cleared when agents are reassigned.