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Python: [BREAKING] Simplify API: ChatAgent -> Agent, ChatMessage -> Message (#3747)
* [BREAKING] Rename ChatAgent -> Agent, ChatMessage -> Message, ChatClientProtocol -> SupportsChatGetResponse Simplify the public API by removing redundant 'Chat' prefix from core types: - ChatAgent -> Agent - RawChatAgent -> RawAgent - ChatMessage -> Message - ChatClientProtocol -> SupportsChatGetResponse Also renamed internal WorkflowMessage (was Message in _runner_context) to avoid collision. No backward compatibility aliases - this is a clean breaking change. * [BREAKING] Rename Agent chat_client parameter to client * Fix rebase issues: WorkflowMessage references and broken markdown links * Fix formatting and lint issues from code quality checks * Fix import ordering in workflow sample files * fixed rebase * Fix test failures: use WorkflowMessage and A2AMessage after ChatMessage→Message rename - Replace Message(data=..., source_id=...) with WorkflowMessage(...) in workflow tests - Fix isinstance check in A2A agent to use A2AMessage instead of Message - Fix import in test_workflow_observability.py (Message→WorkflowMessage) * Fix lint, fmt, and sample errors after ChatMessage→Message rename - Auto-fix 70+ ruff lint issues across samples (ChatMessage→Message refs) - Fix HostedVectorStoreContent→Content.from_hosted_vector_store in file search sample - Fix _normalize_messages→normalize_messages in custom agent sample - Fix context.terminate→raise MiddlewareTermination in middleware samples - Fix with_update_hook→with_transform_hook in override middleware sample - Add TOptions_co import back to custom_chat_client sample - Add noqa for FastAPI File() default in chatkit sample - Fix B023 loop variable capture in weather agent sample * fix: update Agent constructor calls from chat_client to client in declaration-only tool tests * fix: add register_cleanup to devui lazy-loading proxy and type stub * fixed tests and updated new pieces * fix agui typevar * fix merge errors * fix merge conflicts * fiux merge * Remove unused links --------- Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
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@@ -6,17 +6,17 @@ This folder contains examples demonstrating different ways to create and use age
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| File | Description |
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|------|-------------|
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| [`azure_assistants_basic.py`](azure_assistants_basic.py) | The simplest way to create an agent using `ChatAgent` with `AzureOpenAIAssistantsClient`. Shows both streaming and non-streaming responses with automatic assistant creation and cleanup. |
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| [`azure_assistants_basic.py`](azure_assistants_basic.py) | The simplest way to create an agent using `Agent` with `AzureOpenAIAssistantsClient`. Shows both streaming and non-streaming responses with automatic assistant creation and cleanup. |
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| [`azure_assistants_with_code_interpreter.py`](azure_assistants_with_code_interpreter.py) | Shows how to use the HostedCodeInterpreterTool with Azure agents to write and execute Python code. Includes helper methods for accessing code interpreter data from response chunks. |
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| [`azure_assistants_with_existing_assistant.py`](azure_assistants_with_existing_assistant.py) | Shows how to work with a pre-existing assistant by providing the assistant ID to the Azure Assistants client. Demonstrates proper cleanup of manually created assistants. |
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| [`azure_assistants_with_explicit_settings.py`](azure_assistants_with_explicit_settings.py) | Shows how to initialize an agent with a specific assistants client, configuring settings explicitly including endpoint and deployment name. |
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| [`azure_assistants_with_function_tools.py`](azure_assistants_with_function_tools.py) | Demonstrates how to use function tools with agents. Shows both agent-level tools (defined when creating the agent) and query-level tools (provided with specific queries). |
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| [`azure_assistants_with_thread.py`](azure_assistants_with_thread.py) | Demonstrates thread management with Azure agents, including automatic thread creation for stateless conversations and explicit thread management for maintaining conversation context across multiple interactions. |
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| [`azure_chat_client_basic.py`](azure_chat_client_basic.py) | The simplest way to create an agent using `ChatAgent` with `AzureOpenAIChatClient`. Shows both streaming and non-streaming responses for chat-based interactions with Azure OpenAI models. |
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| [`azure_chat_client_basic.py`](azure_chat_client_basic.py) | The simplest way to create an agent using `Agent` with `AzureOpenAIChatClient`. Shows both streaming and non-streaming responses for chat-based interactions with Azure OpenAI models. |
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| [`azure_chat_client_with_explicit_settings.py`](azure_chat_client_with_explicit_settings.py) | Shows how to initialize an agent with a specific chat client, configuring settings explicitly including endpoint and deployment name. |
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| [`azure_chat_client_with_function_tools.py`](azure_chat_client_with_function_tools.py) | Demonstrates how to use function tools with agents. Shows both agent-level tools (defined when creating the agent) and query-level tools (provided with specific queries). |
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| [`azure_chat_client_with_thread.py`](azure_chat_client_with_thread.py) | Demonstrates thread management with Azure agents, including automatic thread creation for stateless conversations and explicit thread management for maintaining conversation context across multiple interactions. |
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| [`azure_responses_client_basic.py`](azure_responses_client_basic.py) | The simplest way to create an agent using `ChatAgent` with `AzureOpenAIResponsesClient`. Shows both streaming and non-streaming responses for structured response generation with Azure OpenAI models. |
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| [`azure_responses_client_basic.py`](azure_responses_client_basic.py) | The simplest way to create an agent using `Agent` with `AzureOpenAIResponsesClient`. Shows both streaming and non-streaming responses for structured response generation with Azure OpenAI models. |
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| [`azure_responses_client_code_interpreter_files.py`](azure_responses_client_code_interpreter_files.py) | Demonstrates using HostedCodeInterpreterTool with file uploads for data analysis. Shows how to create, upload, and analyze CSV files using Python code execution with Azure OpenAI Responses. |
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| [`azure_responses_client_image_analysis.py`](azure_responses_client_image_analysis.py) | Shows how to use Azure OpenAI Responses for image analysis and vision tasks. Demonstrates multi-modal messages combining text and image content using remote URLs. |
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| [`azure_responses_client_with_code_interpreter.py`](azure_responses_client_with_code_interpreter.py) | Shows how to use the HostedCodeInterpreterTool with Azure agents to write and execute Python code. Includes helper methods for accessing code interpreter data from response chunks. |
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+3
-3
@@ -2,7 +2,7 @@
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import asyncio
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from agent_framework import AgentResponseUpdate, ChatAgent, ChatResponseUpdate, HostedCodeInterpreterTool
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from agent_framework import Agent, AgentResponseUpdate, ChatResponseUpdate, HostedCodeInterpreterTool
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from agent_framework.azure import AzureOpenAIAssistantsClient
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from azure.identity import AzureCliCredential
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from openai.types.beta.threads.runs import (
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@@ -46,8 +46,8 @@ async def main() -> None:
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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async with ChatAgent(
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chat_client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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async with Agent(
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client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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instructions="You are a helpful assistant that can write and execute Python code to solve problems.",
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tools=HostedCodeInterpreterTool(),
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) as agent:
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+3
-3
@@ -5,7 +5,7 @@ import os
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from random import randint
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from typing import Annotated
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from agent_framework import ChatAgent, tool
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from agent_framework import Agent, tool
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from agent_framework.azure import AzureOpenAIAssistantsClient
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from azure.identity import AzureCliCredential, get_bearer_token_provider
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from openai import AsyncAzureOpenAI
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@@ -46,8 +46,8 @@ async def main() -> None:
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)
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try:
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async with ChatAgent(
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chat_client=AzureOpenAIAssistantsClient(async_client=client, assistant_id=created_assistant.id),
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async with Agent(
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client=AzureOpenAIAssistantsClient(async_client=client, assistant_id=created_assistant.id),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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) as agent:
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+7
-7
@@ -5,7 +5,7 @@ from datetime import datetime, timezone
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from random import randint
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from typing import Annotated
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from agent_framework import ChatAgent, tool
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from agent_framework import Agent, tool
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from agent_framework.azure import AzureOpenAIAssistantsClient
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from azure.identity import AzureCliCredential
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from pydantic import Field
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@@ -43,8 +43,8 @@ async def tools_on_agent_level() -> None:
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# The agent can use these tools for any query during its lifetime
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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async with ChatAgent(
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chat_client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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async with Agent(
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client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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instructions="You are a helpful assistant that can provide weather and time information.",
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tools=[get_weather, get_time], # Tools defined at agent creation
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) as agent:
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@@ -74,8 +74,8 @@ async def tools_on_run_level() -> None:
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# Agent created without tools
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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async with ChatAgent(
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chat_client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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async with Agent(
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client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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instructions="You are a helpful assistant.",
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# No tools defined here
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) as agent:
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@@ -105,8 +105,8 @@ async def mixed_tools_example() -> None:
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# Agent created with some base tools
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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async with ChatAgent(
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chat_client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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async with Agent(
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client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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instructions="You are a comprehensive assistant that can help with various information requests.",
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tools=[get_weather], # Base tool available for all queries
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) as agent:
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@@ -4,7 +4,7 @@ import asyncio
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from random import randint
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from typing import Annotated
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from agent_framework import AgentThread, ChatAgent, tool
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from agent_framework import Agent, AgentThread, tool
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from agent_framework.azure import AzureOpenAIAssistantsClient
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from azure.identity import AzureCliCredential
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from pydantic import Field
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@@ -33,8 +33,8 @@ async def example_with_automatic_thread_creation() -> None:
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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async with ChatAgent(
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chat_client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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async with Agent(
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client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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) as agent:
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@@ -59,8 +59,8 @@ async def example_with_thread_persistence() -> None:
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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async with ChatAgent(
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chat_client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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async with Agent(
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client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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) as agent:
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@@ -97,8 +97,8 @@ async def example_with_existing_thread_id() -> None:
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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async with ChatAgent(
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chat_client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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async with Agent(
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client=AzureOpenAIAssistantsClient(credential=AzureCliCredential()),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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) as agent:
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@@ -117,8 +117,8 @@ async def example_with_existing_thread_id() -> None:
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print("\n--- Continuing with the same thread ID in a new agent instance ---")
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# Create a new agent instance but use the existing thread ID
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async with ChatAgent(
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chat_client=AzureOpenAIAssistantsClient(thread_id=existing_thread_id, credential=AzureCliCredential()),
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async with Agent(
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client=AzureOpenAIAssistantsClient(thread_id=existing_thread_id, credential=AzureCliCredential()),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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) as agent:
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+7
-7
@@ -5,7 +5,7 @@ from datetime import datetime, timezone
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from random import randint
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from typing import Annotated
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from agent_framework import ChatAgent, tool
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from agent_framework import Agent, tool
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from agent_framework.azure import AzureOpenAIChatClient
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from azure.identity import AzureCliCredential
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from pydantic import Field
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@@ -43,8 +43,8 @@ async def tools_on_agent_level() -> None:
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# The agent can use these tools for any query during its lifetime
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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agent = ChatAgent(
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chat_client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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agent = Agent(
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client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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instructions="You are a helpful assistant that can provide weather and time information.",
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tools=[get_weather, get_time], # Tools defined at agent creation
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)
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@@ -75,8 +75,8 @@ async def tools_on_run_level() -> None:
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# Agent created without tools
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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agent = ChatAgent(
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chat_client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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agent = Agent(
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client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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instructions="You are a helpful assistant.",
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# No tools defined here
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)
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@@ -107,8 +107,8 @@ async def mixed_tools_example() -> None:
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# Agent created with some base tools
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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agent = ChatAgent(
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chat_client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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agent = Agent(
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client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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instructions="You are a comprehensive assistant that can help with various information requests.",
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tools=[get_weather], # Base tool available for all queries
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)
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@@ -4,7 +4,7 @@ import asyncio
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from random import randint
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from typing import Annotated
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from agent_framework import AgentThread, ChatAgent, ChatMessageStore, tool
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from agent_framework import Agent, AgentThread, ChatMessageStore, tool
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from agent_framework.azure import AzureOpenAIChatClient
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from azure.identity import AzureCliCredential
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from pydantic import Field
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@@ -33,8 +33,8 @@ async def example_with_automatic_thread_creation() -> None:
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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agent = ChatAgent(
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chat_client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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agent = Agent(
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client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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)
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@@ -60,8 +60,8 @@ async def example_with_thread_persistence() -> None:
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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agent = ChatAgent(
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chat_client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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agent = Agent(
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client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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)
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@@ -95,8 +95,8 @@ async def example_with_existing_thread_messages() -> None:
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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agent = ChatAgent(
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chat_client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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agent = Agent(
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client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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)
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@@ -117,8 +117,8 @@ async def example_with_existing_thread_messages() -> None:
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print("\n--- Continuing with the same thread in a new agent instance ---")
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# Create a new agent instance but use the existing thread with its message history
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new_agent = ChatAgent(
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chat_client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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new_agent = Agent(
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client=AzureOpenAIChatClient(credential=AzureCliCredential()),
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instructions="You are a helpful weather agent.",
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tools=get_weather,
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)
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+3
-3
@@ -4,7 +4,7 @@ import asyncio
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import os
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import tempfile
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from agent_framework import ChatAgent, HostedCodeInterpreterTool
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from agent_framework import Agent, HostedCodeInterpreterTool
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from agent_framework.azure import AzureOpenAIResponsesClient
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from azure.identity import AzureCliCredential
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from openai import AsyncAzureOpenAI
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@@ -76,8 +76,8 @@ async def main() -> None:
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temp_file_path, file_id = await create_sample_file_and_upload(openai_client)
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# Create agent using Azure OpenAI Responses client
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agent = ChatAgent(
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chat_client=AzureOpenAIResponsesClient(credential=credential),
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agent = Agent(
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client=AzureOpenAIResponsesClient(credential=credential),
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instructions="You are a helpful assistant that can analyze data files using Python code.",
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tools=HostedCodeInterpreterTool(inputs=[{"file_id": file_id}]),
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)
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+2
-2
@@ -2,7 +2,7 @@
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import asyncio
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from agent_framework import ChatMessage, Content
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from agent_framework import Content, Message
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from agent_framework.azure import AzureOpenAIResponsesClient
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from azure.identity import AzureCliCredential
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@@ -24,7 +24,7 @@ async def main():
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)
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# 2. Create a simple message with both text and image content
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user_message = ChatMessage(
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user_message = Message(
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role="user",
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contents=[
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Content.from_text(text="What do you see in this image?"),
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+3
-3
@@ -2,7 +2,7 @@
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import asyncio
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from agent_framework import ChatAgent, ChatResponse, HostedCodeInterpreterTool
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from agent_framework import Agent, ChatResponse, HostedCodeInterpreterTool
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from agent_framework.azure import AzureOpenAIResponsesClient
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from azure.identity import AzureCliCredential
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from openai.types.responses.response import Response as OpenAIResponse
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@@ -22,8 +22,8 @@ async def main() -> None:
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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agent = ChatAgent(
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chat_client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
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agent = Agent(
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client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
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instructions="You are a helpful assistant that can write and execute Python code to solve problems.",
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tools=HostedCodeInterpreterTool(),
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)
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+3
-3
@@ -2,7 +2,7 @@
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import asyncio
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from agent_framework import ChatAgent, Content, HostedFileSearchTool
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from agent_framework import Agent, Content, HostedFileSearchTool
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from agent_framework.azure import AzureOpenAIResponsesClient
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from azure.identity import AzureCliCredential
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@@ -53,8 +53,8 @@ async def main() -> None:
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file_id, vector_store = await create_vector_store(client)
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agent = ChatAgent(
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chat_client=client,
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agent = Agent(
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client=client,
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instructions="You are a helpful assistant that can search through files to find information.",
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tools=[HostedFileSearchTool(inputs=vector_store)],
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)
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+7
-7
@@ -5,7 +5,7 @@ from datetime import datetime, timezone
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from random import randint
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from typing import Annotated
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from agent_framework import ChatAgent, tool
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from agent_framework import Agent, tool
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from agent_framework.azure import AzureOpenAIResponsesClient
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from azure.identity import AzureCliCredential
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from pydantic import Field
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@@ -43,8 +43,8 @@ async def tools_on_agent_level() -> None:
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# The agent can use these tools for any query during its lifetime
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# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
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# authentication option.
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||||
agent = ChatAgent(
|
||||
chat_client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
agent = Agent(
|
||||
client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
instructions="You are a helpful assistant that can provide weather and time information.",
|
||||
tools=[get_weather, get_time], # Tools defined at agent creation
|
||||
)
|
||||
@@ -75,8 +75,8 @@ async def tools_on_run_level() -> None:
|
||||
# Agent created without tools
|
||||
# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
|
||||
# authentication option.
|
||||
agent = ChatAgent(
|
||||
chat_client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
agent = Agent(
|
||||
client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
instructions="You are a helpful assistant.",
|
||||
# No tools defined here
|
||||
)
|
||||
@@ -107,8 +107,8 @@ async def mixed_tools_example() -> None:
|
||||
# Agent created with some base tools
|
||||
# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
|
||||
# authentication option.
|
||||
agent = ChatAgent(
|
||||
chat_client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
agent = Agent(
|
||||
client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
instructions="You are a comprehensive assistant that can help with various information requests.",
|
||||
tools=[get_weather], # Base tool available for all queries
|
||||
)
|
||||
|
||||
+18
-18
@@ -3,7 +3,7 @@
|
||||
import asyncio
|
||||
from typing import TYPE_CHECKING, Any
|
||||
|
||||
from agent_framework import ChatAgent, HostedMCPTool
|
||||
from agent_framework import Agent, HostedMCPTool
|
||||
from agent_framework.azure import AzureOpenAIResponsesClient
|
||||
from azure.identity import AzureCliCredential
|
||||
|
||||
@@ -20,7 +20,7 @@ if TYPE_CHECKING:
|
||||
|
||||
async def handle_approvals_without_thread(query: str, agent: "SupportsAgentRun"):
|
||||
"""When we don't have a thread, we need to ensure we return with the input, approval request and approval."""
|
||||
from agent_framework import ChatMessage
|
||||
from agent_framework import Message
|
||||
|
||||
result = await agent.run(query)
|
||||
while len(result.user_input_requests) > 0:
|
||||
@@ -30,10 +30,10 @@ async def handle_approvals_without_thread(query: str, agent: "SupportsAgentRun")
|
||||
f"User Input Request for function from {agent.name}: {user_input_needed.function_call.name}"
|
||||
f" with arguments: {user_input_needed.function_call.arguments}"
|
||||
)
|
||||
new_inputs.append(ChatMessage(role="assistant", contents=[user_input_needed]))
|
||||
new_inputs.append(Message(role="assistant", contents=[user_input_needed]))
|
||||
user_approval = input("Approve function call? (y/n): ")
|
||||
new_inputs.append(
|
||||
ChatMessage(role="user", contents=[user_input_needed.to_function_approval_response(user_approval.lower() == "y")])
|
||||
Message(role="user", contents=[user_input_needed.to_function_approval_response(user_approval.lower() == "y")])
|
||||
)
|
||||
|
||||
result = await agent.run(new_inputs)
|
||||
@@ -42,7 +42,7 @@ async def handle_approvals_without_thread(query: str, agent: "SupportsAgentRun")
|
||||
|
||||
async def handle_approvals_with_thread(query: str, agent: "SupportsAgentRun", thread: "AgentThread"):
|
||||
"""Here we let the thread deal with the previous responses, and we just rerun with the approval."""
|
||||
from agent_framework import ChatMessage
|
||||
from agent_framework import Message
|
||||
|
||||
result = await agent.run(query, thread=thread, store=True)
|
||||
while len(result.user_input_requests) > 0:
|
||||
@@ -54,7 +54,7 @@ async def handle_approvals_with_thread(query: str, agent: "SupportsAgentRun", th
|
||||
)
|
||||
user_approval = input("Approve function call? (y/n): ")
|
||||
new_input.append(
|
||||
ChatMessage(
|
||||
Message(
|
||||
role="user",
|
||||
contents=[user_input_needed.to_function_approval_response(user_approval.lower() == "y")],
|
||||
)
|
||||
@@ -65,13 +65,13 @@ async def handle_approvals_with_thread(query: str, agent: "SupportsAgentRun", th
|
||||
|
||||
async def handle_approvals_with_thread_streaming(query: str, agent: "SupportsAgentRun", thread: "AgentThread"):
|
||||
"""Here we let the thread deal with the previous responses, and we just rerun with the approval."""
|
||||
from agent_framework import ChatMessage
|
||||
from agent_framework import Message
|
||||
|
||||
new_input: list[ChatMessage] = []
|
||||
new_input: list[Message] = []
|
||||
new_input_added = True
|
||||
while new_input_added:
|
||||
new_input_added = False
|
||||
new_input.append(ChatMessage(role="user", text=query))
|
||||
new_input.append(Message(role="user", text=query))
|
||||
async for update in agent.run(new_input, thread=thread, options={"store": True}, stream=True):
|
||||
if update.user_input_requests:
|
||||
for user_input_needed in update.user_input_requests:
|
||||
@@ -81,7 +81,7 @@ async def handle_approvals_with_thread_streaming(query: str, agent: "SupportsAge
|
||||
)
|
||||
user_approval = input("Approve function call? (y/n): ")
|
||||
new_input.append(
|
||||
ChatMessage(
|
||||
Message(
|
||||
role="user", contents=[user_input_needed.to_function_approval_response(user_approval.lower() == "y")]
|
||||
)
|
||||
)
|
||||
@@ -96,8 +96,8 @@ async def run_hosted_mcp_without_thread_and_specific_approval() -> None:
|
||||
credential = AzureCliCredential()
|
||||
# Tools are provided when creating the agent
|
||||
# The agent can use these tools for any query during its lifetime
|
||||
async with ChatAgent(
|
||||
chat_client=AzureOpenAIResponsesClient(
|
||||
async with Agent(
|
||||
client=AzureOpenAIResponsesClient(
|
||||
credential=credential,
|
||||
),
|
||||
name="DocsAgent",
|
||||
@@ -129,8 +129,8 @@ async def run_hosted_mcp_without_approval() -> None:
|
||||
credential = AzureCliCredential()
|
||||
# Tools are provided when creating the agent
|
||||
# The agent can use these tools for any query during its lifetime
|
||||
async with ChatAgent(
|
||||
chat_client=AzureOpenAIResponsesClient(
|
||||
async with Agent(
|
||||
client=AzureOpenAIResponsesClient(
|
||||
credential=credential,
|
||||
),
|
||||
name="DocsAgent",
|
||||
@@ -163,8 +163,8 @@ async def run_hosted_mcp_with_thread() -> None:
|
||||
credential = AzureCliCredential()
|
||||
# Tools are provided when creating the agent
|
||||
# The agent can use these tools for any query during its lifetime
|
||||
async with ChatAgent(
|
||||
chat_client=AzureOpenAIResponsesClient(
|
||||
async with Agent(
|
||||
client=AzureOpenAIResponsesClient(
|
||||
credential=credential,
|
||||
),
|
||||
name="DocsAgent",
|
||||
@@ -196,8 +196,8 @@ async def run_hosted_mcp_with_thread_streaming() -> None:
|
||||
credential = AzureCliCredential()
|
||||
# Tools are provided when creating the agent
|
||||
# The agent can use these tools for any query during its lifetime
|
||||
async with ChatAgent(
|
||||
chat_client=AzureOpenAIResponsesClient(
|
||||
async with Agent(
|
||||
client=AzureOpenAIResponsesClient(
|
||||
credential=credential,
|
||||
),
|
||||
name="DocsAgent",
|
||||
|
||||
+2
-2
@@ -3,7 +3,7 @@
|
||||
import asyncio
|
||||
import os
|
||||
|
||||
from agent_framework import ChatAgent, MCPStreamableHTTPTool
|
||||
from agent_framework import Agent, MCPStreamableHTTPTool
|
||||
from agent_framework.azure import AzureOpenAIResponsesClient
|
||||
from azure.identity import AzureCliCredential
|
||||
|
||||
@@ -37,7 +37,7 @@ async def main():
|
||||
credential=credential,
|
||||
)
|
||||
|
||||
agent: ChatAgent = responses_client.as_agent(
|
||||
agent: Agent = responses_client.as_agent(
|
||||
name="DocsAgent",
|
||||
instructions=("You are a helpful assistant that can help with Microsoft documentation questions."),
|
||||
)
|
||||
|
||||
+9
-9
@@ -4,7 +4,7 @@ import asyncio
|
||||
from random import randint
|
||||
from typing import Annotated
|
||||
|
||||
from agent_framework import AgentThread, ChatAgent, tool
|
||||
from agent_framework import Agent, AgentThread, tool
|
||||
from agent_framework.azure import AzureOpenAIResponsesClient
|
||||
from azure.identity import AzureCliCredential
|
||||
from pydantic import Field
|
||||
@@ -33,8 +33,8 @@ async def example_with_automatic_thread_creation() -> None:
|
||||
|
||||
# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
|
||||
# authentication option.
|
||||
agent = ChatAgent(
|
||||
chat_client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
agent = Agent(
|
||||
client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
instructions="You are a helpful weather agent.",
|
||||
tools=get_weather,
|
||||
)
|
||||
@@ -62,8 +62,8 @@ async def example_with_thread_persistence_in_memory() -> None:
|
||||
|
||||
# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
|
||||
# authentication option.
|
||||
agent = ChatAgent(
|
||||
chat_client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
agent = Agent(
|
||||
client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
instructions="You are a helpful weather agent.",
|
||||
tools=get_weather,
|
||||
)
|
||||
@@ -103,8 +103,8 @@ async def example_with_existing_thread_id() -> None:
|
||||
|
||||
# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
|
||||
# authentication option.
|
||||
agent = ChatAgent(
|
||||
chat_client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
agent = Agent(
|
||||
client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
instructions="You are a helpful weather agent.",
|
||||
tools=get_weather,
|
||||
)
|
||||
@@ -125,8 +125,8 @@ async def example_with_existing_thread_id() -> None:
|
||||
if existing_thread_id:
|
||||
print("\n--- Continuing with the same thread ID in a new agent instance ---")
|
||||
|
||||
agent = ChatAgent(
|
||||
chat_client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
agent = Agent(
|
||||
client=AzureOpenAIResponsesClient(credential=AzureCliCredential()),
|
||||
instructions="You are a helpful weather agent.",
|
||||
tools=get_weather,
|
||||
)
|
||||
|
||||
Reference in New Issue
Block a user