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client.py
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import asyncio
import logging
from typing import Callable, Awaitable, Type, TypeVar
import pydantic
from .transports import Transport, WebSocketTransport
from .types import (
InvocationMessage,
AgentRuntimeMessageInterface,
CancelMessage,
ErrorMessageInterface,
ResultMessageInterface,
AssistantMessageInterface,
ArtifactUploadRequestMessageInterface,
ArtifactUploadResponseMessageInterface,
OnAssistantMessageCallback,
OnArtifactUploadRequestCallback,
OnErrorMessageCallback,
IsCancelledCallback,
)
from .exceptions import CancelledException
_default_logger = logging.getLogger(__name__)
T = TypeVar("T", bound=ResultMessageInterface)
class RuntimeUseClient:
"""Client for communicating with a runtimeuse agent runtime.
Handles message dispatch, artifact upload handshake, cancellation, and
structured result parsing.
Args:
ws_url: WebSocket URL for the agent runtime. Used to create the default
WebSocketTransport. Ignored when a custom transport is provided.
transport: Optional custom transport implementing the Transport protocol.
When provided, ws_url is not required.
"""
def __init__(
self,
ws_url: str | None = None,
transport: Transport | None = None,
):
if transport is not None:
self._transport = transport
elif ws_url is not None:
self._transport = WebSocketTransport(ws_url)
else:
raise ValueError("Either ws_url or transport must be provided")
async def invoke(
self,
invocation: InvocationMessage,
# this should be response instead?
on_result_message: Callable[[T], Awaitable[None]],
result_message_cls: Type[T],
on_assistant_message: OnAssistantMessageCallback | None = None,
on_artifact_upload_request: OnArtifactUploadRequestCallback | None = None,
on_error_message: OnErrorMessageCallback | None = None,
is_cancelled: IsCancelledCallback | None = None,
timeout: float | None = None,
logger: logging.Logger | None = None,
) -> None:
"""Invoke the agent runtime and process the message stream.
Args:
invocation: The invocation message to send to the agent runtime.
on_result_message: Async callback invoked when a result_message is received.
result_message_cls: The Pydantic model class to use when validating result
messages.
on_assistant_message: Optional async callback invoked when an assistant_message
is received.
on_artifact_upload_request: Optional async callback invoked when an
artifact_upload_request_message is received. Should return an
ArtifactUploadResult; the client will send the
artifact_upload_response_message back to the agent runtime automatically.
on_error_message: Optional async callback invoked when an error_message is
received.
is_cancelled: Optional async callback to check if the invocation should be
cancelled. If provided and returns True, raises CancelledException.
timeout: Optional timeout in seconds. Raises asyncio.TimeoutError if exceeded.
logger: Optional logger instance. Falls back to module-level logger.
"""
if logger is None:
logger = _default_logger
send_queue: asyncio.Queue[dict] = asyncio.Queue()
await send_queue.put(invocation.model_dump(mode="json"))
async with asyncio.timeout(timeout):
async for message in self._transport(send_queue=send_queue):
if is_cancelled is not None and await is_cancelled():
logger.info("Invocation cancelled by caller")
await send_queue.put(
CancelMessage(message_type="cancel_message").model_dump(
mode="json"
)
)
await send_queue.join()
raise CancelledException("Invocation was cancelled")
try:
message_interface = AgentRuntimeMessageInterface.model_validate(
message
)
except pydantic.ValidationError:
logger.error(
f"Received unknown message type from agent runtime: {message}"
)
continue
if message_interface.message_type == "result_message":
result_message_interface = result_message_cls.model_validate(
message
)
logger.info(
f"Received result message from agent runtime: {message}"
)
await on_result_message(result_message_interface)
continue
elif message_interface.message_type == "assistant_message":
if on_assistant_message is not None:
assistant_message_interface = (
AssistantMessageInterface.model_validate(message)
)
await on_assistant_message(assistant_message_interface)
continue
elif message_interface.message_type == "error_message":
if on_error_message is not None:
try:
error_message_interface = (
ErrorMessageInterface.model_validate(message)
)
logger.error(
f"Error from agent runtime: {error_message_interface}",
)
await on_error_message(error_message_interface)
except pydantic.ValidationError:
logger.error(
f"Received unknown error message from agent runtime: {message}",
)
continue
continue
elif (
message_interface.message_type == "artifact_upload_request_message"
):
logger.info(
f"Received artifact upload request message from agent runtime: {message}"
)
if on_artifact_upload_request is not None:
artifact_upload_request_message_interface = (
ArtifactUploadRequestMessageInterface.model_validate(
message
)
)
upload_result = await on_artifact_upload_request(
artifact_upload_request_message_interface
)
artifact_upload_response_message_interface = ArtifactUploadResponseMessageInterface(
message_type="artifact_upload_response_message",
filename=artifact_upload_request_message_interface.filename,
filepath=artifact_upload_request_message_interface.filepath,
presigned_url=upload_result.presigned_url,
content_type=upload_result.content_type,
)
await send_queue.put(
artifact_upload_response_message_interface.model_dump(
mode="json"
)
)
continue
else:
logger.info(
f"Received non-result message from agent runtime: {message}"
)