agent/agent-framework
1
0
Fork 0
mirror of https://github.com/microsoft/agent-framework.git synced 2026-06-16 21:04:09 +08:00
Code Issues Packages Projects Releases Wiki Activity

Python: name changes executed (#607)

Browse Source 
* name changes executed

* updated adr to accepted

* renamed openai base config

* renamed openai config to mixin

* added renames in user docs

* reverted mcperror

* fix tests

* remove sse from tests
This commit is contained in:
Eduard van Valkenburg
2025-09-04 17:00:38 +02:00
committed by GitHub
Unverified
parent 6310ca5be0
commit 40ab6e9d67
100 changed files with 1223 additions and 1100 deletions
Download Patch File Download Diff File Expand all files Collapse all files
python/README.md
+10 -10
View File
@@ -53,11 +53,11 @@ Create agents and invoke them directly:
```python
import asyncio
from agent_framework import ChatClientAgent
from agent_framework import ChatAgent
from agent_framework.openai import OpenAIChatClient
async def main():
agent = ChatClientAgent(
agent = ChatAgent(
chat_client=OpenAIChatClient(),
instructions="""
1) A robot may not injure a human being...
@@ -81,15 +81,15 @@ You can use the chat client classes directly for advanced workflows:
```python
import asyncio
from agent_framework import ChatMessage
from agent_framework.openai import OpenAIChatClient
from agent_framework import ChatMessage, ChatRole
async def main():
client = OpenAIChatClient()
messages = [
ChatMessage(role=ChatRole.SYSTEM, text="You are a helpful assistant."),
ChatMessage(role=ChatRole.USER, text="Write a haiku about Agent Framework.")
ChatMessage(role="system", text="You are a helpful assistant."),
ChatMessage(role="user", text="Write a haiku about Agent Framework.")
]
response = await client.get_response(messages)
@@ -115,7 +115,7 @@ import asyncio
from typing import Annotated
from random import randint
from pydantic import Field
from agent_framework import ChatClientAgent
from agent_framework import ChatAgent
from agent_framework.openai import OpenAIChatClient
@@ -137,7 +137,7 @@ def get_menu_specials() -> str:
async def main():
agent = ChatClientAgent(
agent = ChatAgent(
chat_client=OpenAIChatClient(),
instructions="You are a helpful assistant that can provide weather and restaurant information.",
tools=[get_weather, get_menu_specials]
@@ -164,19 +164,19 @@ Coordinate multiple agents to collaborate on complex tasks using orchestration p
```python
import asyncio
from agent_framework import ChatClientAgent
from agent_framework import ChatAgent
from agent_framework.openai import OpenAIChatClient
async def main():
# Create specialized agents
writer = ChatClientAgent(
writer = ChatAgent(
chat_client=OpenAIChatClient(),
name="Writer",
instructions="You are a creative content writer. Generate and refine slogans based on feedback."
)
reviewer = ChatClientAgent(
reviewer = ChatAgent(
chat_client=OpenAIChatClient(),
name="Reviewer",
instructions="You are a critical reviewer. Provide detailed feedback on proposed slogans."