From 3fe0f9e97d67a67f4027a92f458cb4842b3db43f Mon Sep 17 00:00:00 2001 From: Eric Zhu Date: Fri, 25 Oct 2024 23:17:06 -0700 Subject: [PATCH] Add AssistantAgent, deprecate CodingAssistantAgent and ToolUseAssistantAgent (#3960) * Add AssistantAgent, deprecate CodingAssistantAgent and ToolUseAssistantAgent * Rename * Add note * Update uv * uf lock * Merge branch 'main' into assistant-agent * Update uv --- .../src/autogen_agentchat/agents/__init__.py | 2 + .../agents/_assistant_agent.py | 140 + .../agents/_coding_assistant_agent.py | 47 +- .../agents/_tool_use_assistant_agent.py | 123 +- .../logging/_console_log_handler.py | 2 +- .../logging/_file_log_handler.py | 2 +- ...stant_agent.py => test_assistant_agent.py} | 10 +- .../tests/test_group_chat.py | 9 +- python/uv.lock | 2553 +++++++++-------- 9 files changed, 1609 insertions(+), 1279 deletions(-) create mode 100644 python/packages/autogen-agentchat/src/autogen_agentchat/agents/_assistant_agent.py rename python/packages/autogen-agentchat/tests/{test_tool_use_assistant_agent.py => test_assistant_agent.py} (90%) diff --git a/python/packages/autogen-agentchat/src/autogen_agentchat/agents/__init__.py b/python/packages/autogen-agentchat/src/autogen_agentchat/agents/__init__.py index 19cdec548..2f3258860 100644 --- a/python/packages/autogen-agentchat/src/autogen_agentchat/agents/__init__.py +++ b/python/packages/autogen-agentchat/src/autogen_agentchat/agents/__init__.py @@ -1,3 +1,4 @@ +from ._assistant_agent import AssistantAgent from ._base_chat_agent import BaseChatAgent from ._code_executor_agent import CodeExecutorAgent from ._coding_assistant_agent import CodingAssistantAgent @@ -5,6 +6,7 @@ from ._tool_use_assistant_agent import ToolUseAssistantAgent __all__ = [ "BaseChatAgent", + "AssistantAgent", "CodeExecutorAgent", "CodingAssistantAgent", "ToolUseAssistantAgent", diff --git a/python/packages/autogen-agentchat/src/autogen_agentchat/agents/_assistant_agent.py b/python/packages/autogen-agentchat/src/autogen_agentchat/agents/_assistant_agent.py new file mode 100644 index 000000000..6523b6d42 --- /dev/null +++ b/python/packages/autogen-agentchat/src/autogen_agentchat/agents/_assistant_agent.py @@ -0,0 +1,140 @@ +import asyncio +import json +import logging +from typing import Any, Awaitable, Callable, List, Sequence + +from autogen_core.base import CancellationToken +from autogen_core.components import FunctionCall +from autogen_core.components.models import ( + AssistantMessage, + ChatCompletionClient, + FunctionExecutionResult, + FunctionExecutionResultMessage, + LLMMessage, + SystemMessage, + UserMessage, +) +from autogen_core.components.tools import FunctionTool, Tool +from pydantic import BaseModel, ConfigDict + +from .. import EVENT_LOGGER_NAME +from ..messages import ( + ChatMessage, + StopMessage, + TextMessage, +) +from ._base_chat_agent import BaseChatAgent + +event_logger = logging.getLogger(EVENT_LOGGER_NAME) + + +class ToolCallEvent(BaseModel): + """A tool call event.""" + + tool_calls: List[FunctionCall] + """The tool call message.""" + + model_config = ConfigDict(arbitrary_types_allowed=True) + + +class ToolCallResultEvent(BaseModel): + """A tool call result event.""" + + tool_call_results: List[FunctionExecutionResult] + """The tool call result message.""" + + model_config = ConfigDict(arbitrary_types_allowed=True) + + +class AssistantAgent(BaseChatAgent): + """An agent that provides assistance with tool use. + + It responds with a StopMessage when 'terminate' is detected in the response. + + Args: + name (str): The name of the agent. + model_client (ChatCompletionClient): The model client to use for inference. + tools (List[Tool | Callable[..., Any] | Callable[..., Awaitable[Any]]] | None, optional): The tools to register with the agent. + description (str, optional): The description of the agent. + system_message (str, optional): The system message for the model. + """ + + def __init__( + self, + name: str, + model_client: ChatCompletionClient, + *, + tools: List[Tool | Callable[..., Any] | Callable[..., Awaitable[Any]]] | None = None, + description: str = "An agent that provides assistance with ability to use tools.", + system_message: str = "You are a helpful AI assistant. Solve tasks using your tools. Reply with 'TERMINATE' when the task has been completed.", + ): + super().__init__(name=name, description=description) + self._model_client = model_client + self._system_messages = [SystemMessage(content=system_message)] + self._tools: List[Tool] = [] + if tools is not None: + for tool in tools: + if isinstance(tool, Tool): + self._tools.append(tool) + elif callable(tool): + if hasattr(tool, "__doc__") and tool.__doc__ is not None: + description = tool.__doc__ + else: + description = "" + self._tools.append(FunctionTool(tool, description=description)) + else: + raise ValueError(f"Unsupported tool type: {type(tool)}") + self._model_context: List[LLMMessage] = [] + + async def on_messages(self, messages: Sequence[ChatMessage], cancellation_token: CancellationToken) -> ChatMessage: + # Add messages to the model context. + for msg in messages: + # TODO: add special handling for handoff messages + self._model_context.append(UserMessage(content=msg.content, source=msg.source)) + + # Generate an inference result based on the current model context. + llm_messages = self._system_messages + self._model_context + result = await self._model_client.create(llm_messages, tools=self._tools, cancellation_token=cancellation_token) + + # Add the response to the model context. + self._model_context.append(AssistantMessage(content=result.content, source=self.name)) + + # Run tool calls until the model produces a string response. + while isinstance(result.content, list) and all(isinstance(item, FunctionCall) for item in result.content): + event_logger.debug(ToolCallEvent(tool_calls=result.content)) + # Execute the tool calls. + results = await asyncio.gather( + *[self._execute_tool_call(call, cancellation_token) for call in result.content] + ) + event_logger.debug(ToolCallResultEvent(tool_call_results=results)) + self._model_context.append(FunctionExecutionResultMessage(content=results)) + # Generate an inference result based on the current model context. + result = await self._model_client.create( + self._model_context, tools=self._tools, cancellation_token=cancellation_token + ) + self._model_context.append(AssistantMessage(content=result.content, source=self.name)) + + assert isinstance(result.content, str) + # Detect stop request. + request_stop = "terminate" in result.content.strip().lower() + if request_stop: + return StopMessage(content=result.content, source=self.name) + + return TextMessage(content=result.content, source=self.name) + + async def _execute_tool_call( + self, tool_call: FunctionCall, cancellation_token: CancellationToken + ) -> FunctionExecutionResult: + """Execute a tool call and return the result.""" + try: + if not self._tools: + raise ValueError("No tools are available.") + tool = next((t for t in self._tools if t.name == tool_call.name), None) + if tool is None: + raise ValueError(f"The tool '{tool_call.name}' is not available.") + arguments = json.loads(tool_call.arguments) + result = await tool.run_json(arguments, cancellation_token) + result_as_str = tool.return_value_as_string(result) + return FunctionExecutionResult(content=result_as_str, call_id=tool_call.id) + except Exception as e: + return FunctionExecutionResult(content=f"Error: {e}", call_id=tool_call.id) diff --git a/python/packages/autogen-agentchat/src/autogen_agentchat/agents/_coding_assistant_agent.py b/python/packages/autogen-agentchat/src/autogen_agentchat/agents/_coding_assistant_agent.py index 070e2d491..d7c5bfa97 100644 --- a/python/packages/autogen-agentchat/src/autogen_agentchat/agents/_coding_assistant_agent.py +++ b/python/packages/autogen-agentchat/src/autogen_agentchat/agents/_coding_assistant_agent.py @@ -1,20 +1,14 @@ -from typing import List, Sequence +import warnings -from autogen_core.base import CancellationToken from autogen_core.components.models import ( - AssistantMessage, ChatCompletionClient, - LLMMessage, - SystemMessage, - UserMessage, ) -from ..messages import ChatMessage, MultiModalMessage, StopMessage, TextMessage -from ._base_chat_agent import BaseChatAgent +from ._assistant_agent import AssistantAgent -class CodingAssistantAgent(BaseChatAgent): - """An agent that provides coding assistance using an LLM model client. +class CodingAssistantAgent(AssistantAgent): + """[DEPRECATED] An agent that provides coding assistance using an LLM model client. It responds with a StopMessage when 'terminate' is detected in the response. """ @@ -37,29 +31,10 @@ If the result indicates there is an error, fix the error and output the code aga When you find an answer, verify the answer carefully. Include verifiable evidence in your response if possible. Reply "TERMINATE" in the end when code has been executed and task is complete.""", ): - super().__init__(name=name, description=description) - self._model_client = model_client - self._system_messages = [SystemMessage(content=system_message)] - self._model_context: List[LLMMessage] = [] - - async def on_messages(self, messages: Sequence[ChatMessage], cancellation_token: CancellationToken) -> ChatMessage: - # Add messages to the model context and detect stopping. - for msg in messages: - if not isinstance(msg, TextMessage | MultiModalMessage | StopMessage): - raise ValueError(f"Unsupported message type: {type(msg)}") - self._model_context.append(UserMessage(content=msg.content, source=msg.source)) - - # Generate an inference result based on the current model context. - llm_messages = self._system_messages + self._model_context - result = await self._model_client.create(llm_messages, cancellation_token=cancellation_token) - assert isinstance(result.content, str) - - # Add the response to the model context. - self._model_context.append(AssistantMessage(content=result.content, source=self.name)) - - # Detect stop request. - request_stop = "terminate" in result.content.strip().lower() - if request_stop: - return StopMessage(content=result.content, source=self.name) - - return TextMessage(content=result.content, source=self.name) + # Deprecation warning. + warnings.warn( + "CodingAssistantAgent is deprecated. Use AssistantAgent instead.", + DeprecationWarning, + stacklevel=2, + ) + super().__init__(name, model_client, description=description, system_message=system_message) diff --git a/python/packages/autogen-agentchat/src/autogen_agentchat/agents/_tool_use_assistant_agent.py b/python/packages/autogen-agentchat/src/autogen_agentchat/agents/_tool_use_assistant_agent.py index fde1a3e49..0f59efb67 100644 --- a/python/packages/autogen-agentchat/src/autogen_agentchat/agents/_tool_use_assistant_agent.py +++ b/python/packages/autogen-agentchat/src/autogen_agentchat/agents/_tool_use_assistant_agent.py @@ -1,53 +1,20 @@ -import asyncio -import json import logging -from typing import Any, Awaitable, Callable, List, Sequence +import warnings +from typing import Any, Awaitable, Callable, List -from autogen_core.base import CancellationToken -from autogen_core.components import FunctionCall from autogen_core.components.models import ( - AssistantMessage, ChatCompletionClient, - FunctionExecutionResult, - FunctionExecutionResultMessage, - LLMMessage, - SystemMessage, - UserMessage, ) -from autogen_core.components.tools import FunctionTool, Tool -from pydantic import BaseModel, ConfigDict +from autogen_core.components.tools import Tool from .. import EVENT_LOGGER_NAME -from ..messages import ( - ChatMessage, - StopMessage, - TextMessage, -) -from ._base_chat_agent import BaseChatAgent +from ._assistant_agent import AssistantAgent event_logger = logging.getLogger(EVENT_LOGGER_NAME) -class ToolCallEvent(BaseModel): - """A tool call event.""" - - tool_calls: List[FunctionCall] - """The tool call message.""" - - model_config = ConfigDict(arbitrary_types_allowed=True) - - -class ToolCallResultEvent(BaseModel): - """A tool call result event.""" - - tool_call_results: List[FunctionExecutionResult] - """The tool call result message.""" - - model_config = ConfigDict(arbitrary_types_allowed=True) - - -class ToolUseAssistantAgent(BaseChatAgent): - """An agent that provides assistance with tool use. +class ToolUseAssistantAgent(AssistantAgent): + """[DEPRECATED] An agent that provides assistance with tool use. It responds with a StopMessage when 'terminate' is detected in the response. @@ -68,72 +35,12 @@ class ToolUseAssistantAgent(BaseChatAgent): description: str = "An agent that provides assistance with ability to use tools.", system_message: str = "You are a helpful AI assistant. Solve tasks using your tools. Reply with 'TERMINATE' when the task has been completed.", ): - super().__init__(name=name, description=description) - self._model_client = model_client - self._system_messages = [SystemMessage(content=system_message)] - self._tools: List[Tool] = [] - for tool in registered_tools: - if isinstance(tool, Tool): - self._tools.append(tool) - elif callable(tool): - if hasattr(tool, "__doc__") and tool.__doc__ is not None: - description = tool.__doc__ - else: - description = "" - self._tools.append(FunctionTool(tool, description=description)) - else: - raise ValueError(f"Unsupported tool type: {type(tool)}") - self._model_context: List[LLMMessage] = [] - - async def on_messages(self, messages: Sequence[ChatMessage], cancellation_token: CancellationToken) -> ChatMessage: - # Add messages to the model context. - for msg in messages: - # TODO: add special handling for handoff messages - self._model_context.append(UserMessage(content=msg.content, source=msg.source)) - - # Generate an inference result based on the current model context. - llm_messages = self._system_messages + self._model_context - result = await self._model_client.create(llm_messages, tools=self._tools, cancellation_token=cancellation_token) - - # Add the response to the model context. - self._model_context.append(AssistantMessage(content=result.content, source=self.name)) - - # Run tool calls until the model produces a string response. - while isinstance(result.content, list) and all(isinstance(item, FunctionCall) for item in result.content): - event_logger.debug(ToolCallEvent(tool_calls=result.content)) - # Execute the tool calls. - results = await asyncio.gather( - *[self._execute_tool_call(call, cancellation_token) for call in result.content] - ) - event_logger.debug(ToolCallResultEvent(tool_call_results=results)) - self._model_context.append(FunctionExecutionResultMessage(content=results)) - # Generate an inference result based on the current model context. - result = await self._model_client.create( - self._model_context, tools=self._tools, cancellation_token=cancellation_token - ) - self._model_context.append(AssistantMessage(content=result.content, source=self.name)) - - assert isinstance(result.content, str) - # Detect stop request. - request_stop = "terminate" in result.content.strip().lower() - if request_stop: - return StopMessage(content=result.content, source=self.name) - - return TextMessage(content=result.content, source=self.name) - - async def _execute_tool_call( - self, tool_call: FunctionCall, cancellation_token: CancellationToken - ) -> FunctionExecutionResult: - """Execute a tool call and return the result.""" - try: - if not self._tools: - raise ValueError("No tools are available.") - tool = next((t for t in self._tools if t.name == tool_call.name), None) - if tool is None: - raise ValueError(f"The tool '{tool_call.name}' is not available.") - arguments = json.loads(tool_call.arguments) - result = await tool.run_json(arguments, cancellation_token) - result_as_str = tool.return_value_as_string(result) - return FunctionExecutionResult(content=result_as_str, call_id=tool_call.id) - except Exception as e: - return FunctionExecutionResult(content=f"Error: {e}", call_id=tool_call.id) + # Deprecation warning. + warnings.warn( + "ToolUseAssistantAgent is deprecated. Use AssistantAgent instead.", + DeprecationWarning, + stacklevel=2, + ) + super().__init__( + name, model_client, tools=registered_tools, description=description, system_message=system_message + ) diff --git a/python/packages/autogen-agentchat/src/autogen_agentchat/logging/_console_log_handler.py b/python/packages/autogen-agentchat/src/autogen_agentchat/logging/_console_log_handler.py index 95200e284..571cc875c 100644 --- a/python/packages/autogen-agentchat/src/autogen_agentchat/logging/_console_log_handler.py +++ b/python/packages/autogen-agentchat/src/autogen_agentchat/logging/_console_log_handler.py @@ -3,7 +3,7 @@ import logging import sys from datetime import datetime -from ..agents._tool_use_assistant_agent import ToolCallEvent, ToolCallResultEvent +from ..agents._assistant_agent import ToolCallEvent, ToolCallResultEvent from ..messages import ChatMessage, StopMessage, TextMessage from ..teams._events import ( GroupChatPublishEvent, diff --git a/python/packages/autogen-agentchat/src/autogen_agentchat/logging/_file_log_handler.py b/python/packages/autogen-agentchat/src/autogen_agentchat/logging/_file_log_handler.py index 24fd09418..9923f313d 100644 --- a/python/packages/autogen-agentchat/src/autogen_agentchat/logging/_file_log_handler.py +++ b/python/packages/autogen-agentchat/src/autogen_agentchat/logging/_file_log_handler.py @@ -4,7 +4,7 @@ from dataclasses import asdict, is_dataclass from datetime import datetime from typing import Any -from ..agents._tool_use_assistant_agent import ToolCallEvent, ToolCallResultEvent +from ..agents._assistant_agent import ToolCallEvent, ToolCallResultEvent from ..teams._events import ( GroupChatPublishEvent, GroupChatSelectSpeakerEvent, diff --git a/python/packages/autogen-agentchat/tests/test_tool_use_assistant_agent.py b/python/packages/autogen-agentchat/tests/test_assistant_agent.py similarity index 90% rename from python/packages/autogen-agentchat/tests/test_tool_use_assistant_agent.py rename to python/packages/autogen-agentchat/tests/test_assistant_agent.py index d5ec31a12..9a243a5a2 100644 --- a/python/packages/autogen-agentchat/tests/test_tool_use_assistant_agent.py +++ b/python/packages/autogen-agentchat/tests/test_assistant_agent.py @@ -3,10 +3,10 @@ import json from typing import Any, AsyncGenerator, List import pytest -from autogen_agentchat.agents import ToolUseAssistantAgent +from autogen_agentchat.agents import AssistantAgent from autogen_agentchat.messages import StopMessage, TextMessage -from autogen_core.components.models import OpenAIChatCompletionClient from autogen_core.components.tools import FunctionTool +from autogen_ext.models import OpenAIChatCompletionClient from openai.resources.chat.completions import AsyncCompletions from openai.types.chat.chat_completion import ChatCompletion, Choice from openai.types.chat.chat_completion_chunk import ChatCompletionChunk @@ -42,7 +42,7 @@ async def _echo_function(input: str) -> str: @pytest.mark.asyncio -async def test_round_robin_group_chat_with_tools(monkeypatch: pytest.MonkeyPatch) -> None: +async def test_run_with_tools(monkeypatch: pytest.MonkeyPatch) -> None: model = "gpt-4o-2024-05-13" chat_completions = [ ChatCompletion( @@ -97,10 +97,10 @@ async def test_round_robin_group_chat_with_tools(monkeypatch: pytest.MonkeyPatch ] mock = _MockChatCompletion(chat_completions) monkeypatch.setattr(AsyncCompletions, "create", mock.mock_create) - tool_use_agent = ToolUseAssistantAgent( + tool_use_agent = AssistantAgent( "tool_use_agent", model_client=OpenAIChatCompletionClient(model=model, api_key=""), - registered_tools=[_pass_function, _fail_function, FunctionTool(_echo_function, description="Echo")], + tools=[_pass_function, _fail_function, FunctionTool(_echo_function, description="Echo")], ) result = await tool_use_agent.run("task") assert len(result.messages) == 3 diff --git a/python/packages/autogen-agentchat/tests/test_group_chat.py b/python/packages/autogen-agentchat/tests/test_group_chat.py index 9f740eb64..3f3c8a3b8 100644 --- a/python/packages/autogen-agentchat/tests/test_group_chat.py +++ b/python/packages/autogen-agentchat/tests/test_group_chat.py @@ -7,10 +7,9 @@ from typing import Any, AsyncGenerator, List, Sequence import pytest from autogen_agentchat import EVENT_LOGGER_NAME from autogen_agentchat.agents import ( + AssistantAgent, BaseChatAgent, CodeExecutorAgent, - CodingAssistantAgent, - ToolUseAssistantAgent, ) from autogen_agentchat.logging import FileLogHandler from autogen_agentchat.messages import ( @@ -131,7 +130,7 @@ async def test_round_robin_group_chat(monkeypatch: pytest.MonkeyPatch) -> None: code_executor_agent = CodeExecutorAgent( "code_executor", code_executor=LocalCommandLineCodeExecutor(work_dir=temp_dir) ) - coding_assistant_agent = CodingAssistantAgent( + coding_assistant_agent = AssistantAgent( "coding_assistant", model_client=OpenAIChatCompletionClient(model=model, api_key="") ) team = RoundRobinGroupChat(participants=[coding_assistant_agent, code_executor_agent]) @@ -211,10 +210,10 @@ async def test_round_robin_group_chat_with_tools(monkeypatch: pytest.MonkeyPatch mock = _MockChatCompletion(chat_completions) monkeypatch.setattr(AsyncCompletions, "create", mock.mock_create) tool = FunctionTool(_pass_function, name="pass", description="pass function") - tool_use_agent = ToolUseAssistantAgent( + tool_use_agent = AssistantAgent( "tool_use_agent", model_client=OpenAIChatCompletionClient(model=model, api_key=""), - registered_tools=[tool], + tools=[tool], ) echo_agent = _EchoAgent("echo_agent", description="echo agent") team = RoundRobinGroupChat(participants=[tool_use_agent, echo_agent]) diff --git a/python/uv.lock b/python/uv.lock index ed20c3784..d1c9d588c 100644 --- a/python/uv.lock +++ b/python/uv.lock @@ -1,27 +1,11 @@ version = 1 requires-python = ">=3.10, <3.13" resolution-markers = [ - "python_full_version < '3.11' and platform_system == 'Darwin'", - 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