202 lines
7.8 KiB
Python
202 lines
7.8 KiB
Python
import json
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import sys
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from collections import OrderedDict
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from collections.abc import Callable, Coroutine
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from dataclasses import dataclass
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if sys.version_info >= (3, 11):
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from typing import Self
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else:
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from typing_extensions import Self
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from typing import Annotated, Any
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from pydantic import Field
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from ... import FunctionTool, llm
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from ...llm.tool_context import ToolError, ToolFlag, function_tool
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from ...types import NOT_GIVEN, NotGivenOr
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from ...voice.agent import AgentTask
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@dataclass
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class _FactoryInfo:
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task_factory: Callable[[], AgentTask]
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id: str
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description: str
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@dataclass
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class TaskGroupResult:
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task_results: dict[str, Any]
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@dataclass
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class TaskCompletedEvent:
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agent_task: AgentTask
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task_id: str
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result: Any
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class _OutOfScopeError(ToolError):
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def __init__(self, target_task_ids: list) -> None:
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self.target_task_ids = target_task_ids
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class TaskGroup(AgentTask[TaskGroupResult]):
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def __init__(
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self,
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*,
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summarize_chat_ctx: bool = True,
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return_exceptions: bool = False,
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chat_ctx: NotGivenOr[llm.ChatContext] = NOT_GIVEN,
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on_task_completed: Callable[[TaskCompletedEvent], Coroutine[None, None, None]]
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| None = None,
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):
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"""TaskGroup orchestrates a sequence of multiple AgentTasks. It also allows for users to regress to previous tasks if requested.
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Args:
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summarize_chat_ctx (bool): Whether or not to summarize the interactions within the TaskGroup into one message and merge the context. Defaults to True.
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return_exceptions (bool): Whether or not to directly propagate an error. When set to True, the exception is added to the results dictionary and the sequence continues. Defaults to False.
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on_task_completed (Callable[]): A callable that executes upon each task completion. The callback takes in a single argument of a TaskCompletedEvent.
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"""
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super().__init__(
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instructions="*empty*", chat_ctx=chat_ctx, llm=NOT_GIVEN
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) # the LLM is set as NOT_GIVEN to allow session reusage if supported
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self._summarize_chat_ctx = summarize_chat_ctx
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self._return_exceptions = return_exceptions
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self._visited_tasks = set[str]()
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self._registered_factories: OrderedDict[str, _FactoryInfo] = OrderedDict()
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self._task_completed_callback = on_task_completed
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def add(
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self,
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task_factory: Callable[[], AgentTask],
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*,
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id: str,
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description: str,
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) -> Self:
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"""Adds an AgentTask to the TaskGroup.
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Args:
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task_factory (Callable): A callable that returns a task instance
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id (str): An identifier for the task used to access results
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description (str): A description that helps the LLM understand when to regress to this task
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"""
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self._registered_factories[id] = _FactoryInfo(
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task_factory=task_factory, id=id, description=description
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)
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return self
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async def on_enter(self) -> None:
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task_stack = list(self._registered_factories.keys())
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task_results: dict[str, Any] = {}
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while len(task_stack) > 0:
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task_id = task_stack.pop(0)
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factory_info = self._registered_factories[task_id]
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self._current_task = factory_info.task_factory()
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shared_chat_ctx = self.chat_ctx.copy()
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await self._current_task.update_chat_ctx(shared_chat_ctx)
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if out_of_scope_tool := self._build_out_of_scope_tool(active_task_id=task_id):
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current_tools = self._current_task.tools
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current_tools.append(out_of_scope_tool)
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await self._current_task.update_tools(current_tools)
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try:
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self._visited_tasks.add(task_id)
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res = await self._current_task
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# AgentTask handoff merges omit function calls. Re-merge the completed
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# task context so task-group summarization can incorporate tool results.
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self._chat_ctx.merge(
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self._current_task.chat_ctx.copy(),
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exclude_instructions=True,
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)
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task_results[task_id] = res
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if self._task_completed_callback is not None:
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await self._task_completed_callback(
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TaskCompletedEvent(
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agent_task=self._current_task, task_id=task_id, result=res
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)
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)
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except _OutOfScopeError as e:
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task_stack.insert(0, task_id)
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for task_id in reversed(e.target_task_ids):
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task_stack.insert(0, task_id)
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continue
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except Exception as e:
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if self._return_exceptions:
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task_results[task_id] = e
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continue
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else:
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self.complete(e)
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return
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if self._summarize_chat_ctx:
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try:
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assert isinstance(self.session.llm, llm.LLM), (
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"llm must be a LLM instance to summarize the chat_ctx"
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)
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# when a task is done, the chat_ctx is going to be merged with the "caller" chat_ctx
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# enabling summarization will result on only one ChatMessage added.
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# keep every item to allow summarization to be more action-aware.
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summarized_chat_ctx = await self.chat_ctx.copy(
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exclude_instructions=False,
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exclude_handoff=False,
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exclude_config_update=False,
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exclude_empty_message=False,
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exclude_function_call=False,
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)._summarize(llm_v=self.session.llm, keep_last_turns=0)
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await self.update_chat_ctx(summarized_chat_ctx)
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except Exception as e:
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self.complete(e)
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return
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self.complete(TaskGroupResult(task_results=task_results))
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def _build_out_of_scope_tool(self, *, active_task_id: str) -> FunctionTool | None:
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if not self._visited_tasks:
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return None
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# Only allow to regress to already visited tasks
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task_ids = self._visited_tasks.copy()
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task_ids.discard(active_task_id)
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task_repr = {
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f.id: f.description for f in self._registered_factories.values() if f.id in task_ids
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}
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description = (
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"Call to regress to other tasks according to what the user requested to modify, return the corresponding task ids. "
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'For example, if the user wants to change their email and there is a task with id "email_task" with a description of "Collect the user\'s email", return the id ("get_email_task").'
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"If the user requests to regress to multiple tasks, such as changing their phone number and email, return both task ids in the order they were requested."
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f"The following are the IDs and their corresponding task description. {json.dumps(task_repr)}"
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)
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@function_tool(description=description, flags=ToolFlag.IGNORE_ON_ENTER)
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async def out_of_scope(
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task_ids: Annotated[
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list[str],
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Field(
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description="The IDs of the tasks requested",
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json_schema_extra={"items": {"type": "string", "enum": list(task_ids)}},
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),
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],
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) -> None:
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for task_id in task_ids:
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if task_id not in self._registered_factories or task_id not in self._visited_tasks:
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raise ToolError(f"unable to regress, invalid task id {task_id}")
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if not self._current_task.done():
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self._current_task.complete(_OutOfScopeError(target_task_ids=task_ids))
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return out_of_scope
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