MagickMind
PythonModels

Chat (v1)

Reference for magick_mind.models.v1.chat.

magick_mind.models.v1.chat

V1 chat API models.

REST models only. Realtime event models live in magick_mind.realtime.events.

ConfigSchema

class ConfigSchema(BaseModel)

Configuration for chat request.

ChatSendRequest

class ChatSendRequest(BaseModel)

Request to send a chat message to a mindspace.

Example:

request = ChatSendRequest( api_key="sk-...", mindspace_id="mind-123", message="Hello!", enduser_id="user-456", config=ConfigSchema( fast_model_id="gpt-4", smart_model_ids=["gpt-4"], compute_power=50, ), )

ChatSendRequest.serialize_artifact_ids

@field_serializer("artifact_ids")
def serialize_artifact_ids(v: list[str] | None) -> list[str]

API requires this field; default to empty list if not provided.

ChatAck

class ChatAck(BaseModel)

REST acknowledgement payload from the API POST /v1/chat/magickmind.

API ChatSchema: { message_id, content, reply_to }

The message_id is useful for registering reply anchors before the realtime event arrives via Centrifugo.

NOTE: This does NOT contain the AI response text — that arrives via Centrifugo realtime as a WsEvent/ChatMessagePayload.

ChatSendResponse

class ChatSendResponse(BaseModel)

Response from the API POST /v1/chat/magickmind.

This is an acknowledgement only. The actual AI response text arrives via Centrifugo realtime — subscribe via client.realtime and handle WsEvent events with type="chat_message".

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