Update readme with agent-as-tool (#6949)

This commit is contained in:
Eric Zhu
2025-08-19 01:28:29 -07:00
committed by GitHub
parent 7ce60cc365
commit db10c9dd2c

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@@ -43,7 +43,7 @@ from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
async def main() -> None:
model_client = OpenAIChatCompletionClient(model="gpt-4o")
model_client = OpenAIChatCompletionClient(model="gpt-4.1")
agent = AssistantAgent("assistant", model_client=model_client)
print(await agent.run(task="Say 'Hello World!'"))
await model_client.close()
@@ -90,6 +90,58 @@ asyncio.run(main())
> **Warning**: Only connect to trusted MCP servers as they may execute commands
> in your local environment or expose sensitive information.
### Multi-Agent Orchestration
You can use `AgentTool` to create a basic multi-agent orchestration setup.
```python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.tools import AgentTool
from autogen_agentchat.ui import Console
from autogen_ext.models.openai import OpenAIChatCompletionClient
async def main() -> None:
model_client = OpenAIChatCompletionClient(model="gpt-4.1")
math_agent = AssistantAgent(
"math_expert",
model_client=model_client,
system_message="You are a math expert.",
description="A math expert assistant.",
model_client_stream=True,
)
math_agent_tool = AgentTool(math_agent, return_value_as_last_message=True)
chemistry_agent = AssistantAgent(
"chemistry_expert",
model_client=model_client,
system_message="You are a chemistry expert.",
description="A chemistry expert assistant.",
model_client_stream=True,
)
chemistry_agent_tool = AgentTool(chemistry_agent, return_value_as_last_message=True)
agent = AssistantAgent(
"assistant",
system_message="You are a general assistant. Use expert tools when needed.",
model_client=model_client,
model_client_stream=True,
tools=[math_agent_tool, chemistry_agent_tool],
max_tool_iterations=10,
)
await Console(agent.run_stream(task="What is the integral of x^2?"))
await Console(agent.run_stream(task="What is the molecular weight of water?"))
asyncio.run(main())
```
For more advanced multi-agent orchestrations and workflows, read
[AgentChat documentation](https://microsoft.github.io/autogen/stable/user-guide/agentchat-user-guide/index.html).
### AutoGen Studio
Use AutoGen Studio to prototype and run multi-agent workflows without writing code.