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Refactor autogen ext agents namespace (#4582)
* move magentic and openai assistant agents * add import error messages * add api docs ref files * fix magentic rst path * fix openai rst fname * fix magentic rst title * Add module * rm * fix some minor issues --------- Co-authored-by: Leonardo Pinheiro <lpinheiro@microsoft.com> Co-authored-by: Eric Zhu <ekzhu@users.noreply.github.com>
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@ -39,6 +39,8 @@ python/autogen_core.logging
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:hidden:
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:caption: AutoGen Extensions
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python/autogen_ext.agents.magentic_one
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python/autogen_ext.agents.openai
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python/autogen_ext.agents.web_surfer
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python/autogen_ext.agents.file_surfer
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python/autogen_ext.agents.video_surfer
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@ -0,0 +1,8 @@
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autogen\_ext.agents.magentic\_one
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=================================
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.. automodule:: autogen_ext.agents.magentic_one
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:members:
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:undoc-members:
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:show-inheritance:
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@ -0,0 +1,8 @@
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autogen\_ext.agents.openai
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================================
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.. automodule:: autogen_ext.agents.openai
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:members:
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:undoc-members:
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:show-inheritance:
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@ -1,4 +0,0 @@
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from ._magentic_one_coder_agent import MagenticOneCoderAgent
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from ._openai_assistant_agent import OpenAIAssistantAgent
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__all__ = ["OpenAIAssistantAgent", "MagenticOneCoderAgent"]
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@ -0,0 +1,10 @@
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try:
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from ._magentic_one_coder_agent import MagenticOneCoderAgent
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except ImportError as e:
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raise ImportError(
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"Dependencies for MagenticOneCoderAgent not found. "
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"Please install autogen-ext with the 'magentic-one' extra: "
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"pip install 'autogen-ext[magentic-one]'"
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) from e
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__all__ = ["MagenticOneCoderAgent"]
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@ -0,0 +1,10 @@
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try:
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from ._openai_assistant_agent import OpenAIAssistantAgent
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except ImportError as e:
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raise ImportError(
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"Dependencies for OpenAIAssistantAgent not found. "
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"Please install autogen-ext with the 'openai' extra: "
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"pip install 'autogen-ext[openai]'"
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) from e
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__all__ = ["OpenAIAssistantAgent"]
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@ -39,6 +39,7 @@ from autogen_core.components.tools import FunctionTool, Tool
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_has_openai_dependencies: bool = True
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try:
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import aiofiles
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from openai import NOT_GIVEN
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from openai.resources.beta.threads import AsyncMessages, AsyncRuns, AsyncThreads
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from openai.types.beta.code_interpreter_tool_param import CodeInterpreterToolParam
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@ -50,6 +51,7 @@ except ImportError:
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if TYPE_CHECKING:
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import aiofiles
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from openai import NOT_GIVEN, AsyncClient, NotGiven
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from openai.pagination import AsyncCursorPage
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from openai.resources.beta.threads import AsyncMessages, AsyncRuns, AsyncThreads
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@ -98,27 +100,26 @@ class OpenAIAssistantAgent(BaseChatAgent):
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"""An agent implementation that uses the OpenAI Assistant API to generate responses.
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This agent leverages the OpenAI Assistant API to create AI assistants with capabilities like:
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- Code interpretation and execution
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- File handling and search
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- Custom function calling
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- Multi-turn conversations
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The agent maintains a thread of conversation and can use various tools including:
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- Code interpreter: For executing code and working with files
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- File search: For searching through uploaded documents
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- Custom functions: For extending capabilities with user-defined tools
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* Code interpretation and execution
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* File handling and search
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* Custom function calling
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* Multi-turn conversations
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.. note::
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The agent maintains a thread of conversation and can use various tools including
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The agent deletes all messages in the thread when :meth:`on_reset` is called.
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* Code interpreter: For executing code and working with files
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* File search: For searching through uploaded documents
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* Custom functions: For extending capabilities with user-defined tools
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Key Features:
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- Supports multiple file formats including code, documents, images
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- Can handle up to 128 tools per assistant
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- Maintains conversation context in threads
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- Supports file uploads for code interpreter and search
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- Vector store integration for efficient file search
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- Automatic file parsing and embedding
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* Supports multiple file formats including code, documents, images
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* Can handle up to 128 tools per assistant
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* Maintains conversation context in threads
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* Supports file uploads for code interpreter and search
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* Vector store integration for efficient file search
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* Automatic file parsing and embedding
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Example:
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.. code-block:: python
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@ -126,7 +127,7 @@ class OpenAIAssistantAgent(BaseChatAgent):
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from openai import AsyncClient
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from autogen_core import CancellationToken
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import asyncio
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from autogen_ext.agents import OpenAIAssistantAgent
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from autogen_ext.agents.openai import OpenAIAssistantAgent
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from autogen_agentchat.messages import TextMessage
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@ -51,8 +51,9 @@ class ACADynamicSessionsCodeExecutor(CodeExecutor):
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.. code-block:: bash
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pip install 'autogen-ext[azure]==0.4.0.dev7'
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pip install 'autogen-ext[azure]==0.4.0.dev8'
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.. caution::
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**This will execute LLM generated code on an Azure dynamic code container.**
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@ -59,7 +59,7 @@ class DockerCommandLineCodeExecutor(CodeExecutor):
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.. code-block:: bash
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pip install 'autogen-ext[docker]==0.4.0.dev7'
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pip install 'autogen-ext[docker]==0.4.0.dev8'
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The executor first saves each code block in a file in the working
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@ -6,7 +6,7 @@ import pytest
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from autogen_agentchat.messages import TextMessage
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from autogen_core import CancellationToken
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from autogen_core.components.tools._base import BaseTool, Tool
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from autogen_ext.agents import OpenAIAssistantAgent
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from autogen_ext.agents.openai import OpenAIAssistantAgent
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from azure.identity import DefaultAzureCredential, get_bearer_token_provider
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from openai import AsyncAzureOpenAI
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from pydantic import BaseModel
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