| Name |
Type |
Description |
Notes |
| message |
str |
The user's message to the agent |
|
| session_id |
str |
Optional session ID to continue a conversation |
[optional] |
| user_id |
str |
Optional user identifier for session isolation |
[optional] |
| stream |
bool |
Whether to stream the response (SSE) |
[optional] [default to False] |
| var_async |
bool |
Enable async/durable execution mode. When true, returns 202 with pollUrl. Use for long-running agent tasks. |
[optional] [default to False] |
| system |
str |
Optional additional system prompt (appended to agent's configured prompt) |
[optional] |
from quantcdn.models.chat_with_ai_agent_request import ChatWithAIAgentRequest
# TODO update the JSON string below
json = "{}"
# create an instance of ChatWithAIAgentRequest from a JSON string
chat_with_ai_agent_request_instance = ChatWithAIAgentRequest.from_json(json)
# print the JSON string representation of the object
print(ChatWithAIAgentRequest.to_json())
# convert the object into a dict
chat_with_ai_agent_request_dict = chat_with_ai_agent_request_instance.to_dict()
# create an instance of ChatWithAIAgentRequest from a dict
chat_with_ai_agent_request_from_dict = ChatWithAIAgentRequest.from_dict(chat_with_ai_agent_request_dict)
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