ai-station/.venv/lib/python3.12/site-packages/mcp/client/experimental/tasks.py

225 lines
6.9 KiB
Python

"""
Experimental client-side task support.
This module provides client methods for interacting with MCP tasks.
WARNING: These APIs are experimental and may change without notice.
Example:
# Call a tool as a task
result = await session.experimental.call_tool_as_task("tool_name", {"arg": "value"})
task_id = result.task.taskId
# Get task status
status = await session.experimental.get_task(task_id)
# Get task result when complete
if status.status == "completed":
result = await session.experimental.get_task_result(task_id, CallToolResult)
# List all tasks
tasks = await session.experimental.list_tasks()
# Cancel a task
await session.experimental.cancel_task(task_id)
"""
from collections.abc import AsyncIterator
from typing import TYPE_CHECKING, Any, TypeVar
import mcp.types as types
from mcp.shared.experimental.tasks.polling import poll_until_terminal
if TYPE_CHECKING:
from mcp.client.session import ClientSession
ResultT = TypeVar("ResultT", bound=types.Result)
class ExperimentalClientFeatures:
"""
Experimental client features for tasks and other experimental APIs.
WARNING: These APIs are experimental and may change without notice.
Access via session.experimental:
status = await session.experimental.get_task(task_id)
"""
def __init__(self, session: "ClientSession") -> None:
self._session = session
async def call_tool_as_task(
self,
name: str,
arguments: dict[str, Any] | None = None,
*,
ttl: int = 60000,
meta: dict[str, Any] | None = None,
) -> types.CreateTaskResult:
"""Call a tool as a task, returning a CreateTaskResult for polling.
This is a convenience method for calling tools that support task execution.
The server will return a task reference instead of the immediate result,
which can then be polled via `get_task()` and retrieved via `get_task_result()`.
Args:
name: The tool name
arguments: Tool arguments
ttl: Task time-to-live in milliseconds (default: 60000 = 1 minute)
meta: Optional metadata to include in the request
Returns:
CreateTaskResult containing the task reference
Example:
# Create task
result = await session.experimental.call_tool_as_task(
"long_running_tool", {"input": "data"}
)
task_id = result.task.taskId
# Poll for completion
while True:
status = await session.experimental.get_task(task_id)
if status.status == "completed":
break
await asyncio.sleep(0.5)
# Get result
final = await session.experimental.get_task_result(task_id, CallToolResult)
"""
_meta: types.RequestParams.Meta | None = None
if meta is not None:
_meta = types.RequestParams.Meta(**meta)
return await self._session.send_request(
types.ClientRequest(
types.CallToolRequest(
params=types.CallToolRequestParams(
name=name,
arguments=arguments,
task=types.TaskMetadata(ttl=ttl),
_meta=_meta,
),
)
),
types.CreateTaskResult,
)
async def get_task(self, task_id: str) -> types.GetTaskResult:
"""
Get the current status of a task.
Args:
task_id: The task identifier
Returns:
GetTaskResult containing the task status and metadata
"""
return await self._session.send_request(
types.ClientRequest(
types.GetTaskRequest(
params=types.GetTaskRequestParams(taskId=task_id),
)
),
types.GetTaskResult,
)
async def get_task_result(
self,
task_id: str,
result_type: type[ResultT],
) -> ResultT:
"""
Get the result of a completed task.
The result type depends on the original request type:
- tools/call tasks return CallToolResult
- Other request types return their corresponding result type
Args:
task_id: The task identifier
result_type: The expected result type (e.g., CallToolResult)
Returns:
The task result, validated against result_type
"""
return await self._session.send_request(
types.ClientRequest(
types.GetTaskPayloadRequest(
params=types.GetTaskPayloadRequestParams(taskId=task_id),
)
),
result_type,
)
async def list_tasks(
self,
cursor: str | None = None,
) -> types.ListTasksResult:
"""
List all tasks.
Args:
cursor: Optional pagination cursor
Returns:
ListTasksResult containing tasks and optional next cursor
"""
params = types.PaginatedRequestParams(cursor=cursor) if cursor else None
return await self._session.send_request(
types.ClientRequest(
types.ListTasksRequest(params=params),
),
types.ListTasksResult,
)
async def cancel_task(self, task_id: str) -> types.CancelTaskResult:
"""
Cancel a running task.
Args:
task_id: The task identifier
Returns:
CancelTaskResult with the updated task state
"""
return await self._session.send_request(
types.ClientRequest(
types.CancelTaskRequest(
params=types.CancelTaskRequestParams(taskId=task_id),
)
),
types.CancelTaskResult,
)
async def poll_task(self, task_id: str) -> AsyncIterator[types.GetTaskResult]:
"""
Poll a task until it reaches a terminal status.
Yields GetTaskResult for each poll, allowing the caller to react to
status changes (e.g., handle input_required). Exits when task reaches
a terminal status (completed, failed, cancelled).
Respects the pollInterval hint from the server.
Args:
task_id: The task identifier
Yields:
GetTaskResult for each poll
Example:
async for status in session.experimental.poll_task(task_id):
print(f"Status: {status.status}")
if status.status == "input_required":
# Handle elicitation request via tasks/result
pass
# Task is now terminal, get the result
result = await session.experimental.get_task_result(task_id, CallToolResult)
"""
async for status in poll_until_terminal(self.get_task, task_id):
yield status