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Python

# Copyright (c) Microsoft. All rights reserved.
import logging
from collections.abc import AsyncIterable
from copy import deepcopy
from typing import TYPE_CHECKING, Any, cast
from pydantic import Field
from semantic_kernel.agents import Agent, AgentChat
from semantic_kernel.agents.strategies import (
DefaultTerminationStrategy,
SequentialSelectionStrategy,
)
from semantic_kernel.agents.strategies.selection.selection_strategy import SelectionStrategy
from semantic_kernel.agents.strategies.termination.termination_strategy import TerminationStrategy
from semantic_kernel.contents.chat_message_content import ChatMessageContent
from semantic_kernel.contents.history_reducer.chat_history_reducer import ChatHistoryReducer
from semantic_kernel.contents.utils.author_role import AuthorRole
from semantic_kernel.exceptions.agent_exceptions import AgentChatException
from semantic_kernel.utils.feature_stage_decorator import experimental
if TYPE_CHECKING:
from semantic_kernel.contents.chat_history import ChatHistory
logger: logging.Logger = logging.getLogger(__name__)
@experimental
class AgentGroupChat(AgentChat):
"""An agent chat that supports multi-turn interactions."""
agent_ids: set[str]
agents: list[Agent] = Field(default_factory=list)
is_complete: bool = False
termination_strategy: TerminationStrategy = Field(
default_factory=DefaultTerminationStrategy,
description="The termination strategy to use. The default strategy never terminates and has a max iterations of 5.", # noqa: E501
)
selection_strategy: SelectionStrategy = Field(default_factory=SequentialSelectionStrategy)
def __init__(
self,
agents: list[Agent] | None = None,
termination_strategy: TerminationStrategy | None = None,
selection_strategy: SelectionStrategy | None = None,
chat_history: "ChatHistory | None" = None,
) -> None:
"""Initialize a new instance of AgentGroupChat.
Args:
agents: The agents to add to the group chat.
termination_strategy: The termination strategy to use.
selection_strategy: The selection strategy
chat_history: The chat history.
"""
agent_ids = {agent.id for agent in agents} if agents else set()
if agents is None:
agents = []
args: dict[str, Any] = {
"agents": agents,
"agent_ids": agent_ids,
}
if termination_strategy is not None:
args["termination_strategy"] = termination_strategy
if selection_strategy is not None:
args["selection_strategy"] = selection_strategy
if chat_history is not None:
args["history"] = chat_history
super().__init__(**args)
def add_agent(self, agent: Agent) -> None:
"""Add an agent to the group chat.
Args:
agent: The agent to add.
"""
if agent.id not in self.agent_ids:
self.agent_ids.add(agent.id)
self.agents.append(agent)
async def invoke_single_turn(self, agent: Agent) -> AsyncIterable[ChatMessageContent]:
"""Invoke the agent chat for a single turn.
Args:
agent: The agent to invoke.
Yields:
The chat message.
"""
async for message in self.invoke(agent, is_joining=True):
if message.role == AuthorRole.ASSISTANT:
task = self.termination_strategy.should_terminate(agent, self.history.messages)
self.is_complete = await task
yield message
async def invoke_stream_single_turn(self, agent: Agent) -> AsyncIterable[ChatMessageContent]:
"""Invoke the agent chat for a single turn.
Args:
agent: The agent to invoke.
Yields:
The chat message.
"""
async for message in self.invoke_stream(agent, is_joining=True):
yield message
self.is_complete = await self.termination_strategy.should_terminate(agent, self.history.messages)
async def invoke(self, agent: Agent | None = None, is_joining: bool = True) -> AsyncIterable[ChatMessageContent]:
"""Invoke the agent chat asynchronously.
Handles both group interactions and single agent interactions based on the provided arguments.
Args:
agent: The agent to invoke. If not provided, the method processes all agents in the chat.
is_joining: Controls whether the agent joins the chat. Defaults to True.
Yields:
The chat message.
"""
if agent is not None:
if is_joining:
self.add_agent(agent)
async for message in super().invoke_agent(agent):
if message.role == AuthorRole.ASSISTANT:
task = self.termination_strategy.should_terminate(agent, self.history.messages)
self.is_complete = await task
yield message
return
if not self.agents:
raise AgentChatException("No agents are available")
if self.is_complete:
if not self.termination_strategy.automatic_reset:
raise AgentChatException("Chat is already complete")
self.is_complete = False
for _ in range(self.termination_strategy.maximum_iterations):
try:
selected_agent = await self.selection_strategy.next(self.agents, self.history.messages)
except Exception as ex:
logger.error(f"Failed to select agent: {ex}")
raise AgentChatException("Failed to select agent") from ex
async for message in super().invoke_agent(selected_agent):
if message.role == AuthorRole.ASSISTANT:
task = self.termination_strategy.should_terminate(selected_agent, self.history.messages)
self.is_complete = await task
yield message
if self.is_complete:
break
async def invoke_stream(
self, agent: Agent | None = None, is_joining: bool = True
) -> AsyncIterable[ChatMessageContent]:
"""Invoke the agent chat stream asynchronously.
Handles both group interactions and single agent interactions based on the provided arguments.
Args:
agent: The agent to invoke. If not provided, the method processes all agents in the chat.
is_joining: Controls whether the agent joins the chat. Defaults to True.
Yields:
The chat message.
"""
if agent is not None:
if is_joining:
self.add_agent(agent)
async for message in super().invoke_agent_stream(agent):
if message.role == AuthorRole.ASSISTANT:
task = self.termination_strategy.should_terminate(agent, self.history.messages)
self.is_complete = await task
yield message
return
if not self.agents:
raise AgentChatException("No agents are available")
if self.is_complete:
if not self.termination_strategy.automatic_reset:
raise AgentChatException("Chat is already complete")
self.is_complete = False
for _ in range(self.termination_strategy.maximum_iterations):
try:
selected_agent = await self.selection_strategy.next(self.agents, self.history.messages)
except Exception as ex:
logger.error(f"Failed to select agent: {ex}")
raise AgentChatException("Failed to select agent") from ex
async for message in super().invoke_agent_stream(selected_agent):
yield message
self.is_complete = await self.termination_strategy.should_terminate(selected_agent, self.history.messages)
if self.is_complete:
break
async def reduce_history(self) -> bool:
"""Perform the reduction on the provided history, returning True if reduction occurred."""
if not isinstance(self.history, ChatHistoryReducer):
return False
result = await self.history.reduce()
if result is None:
return False
reducer = cast(ChatHistoryReducer, result)
reduced_history = deepcopy(reducer.messages)
await self.reset()
await self.add_chat_messages(reduced_history)
return True