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pagent你的轻量 Agent 框架
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同一模型，更好的 harness
在 JobBench 上，pagentv4 的 inplace harness 在两个 split 上都胜过官方 OpenCode harness——同选手（deepseek-v4-flash）、同裁判，只换 harness。
想试试这条 harness？ 同一套 pagentv4 内核，挑你顺手的入口：
终端 CLI（uv run pagent）→ · 桌面端 → · VS Code 插件 → · Web UI →
二十多行，就是一个 Agent
选一个模型标签，设置对应 API Key，保存为 demo.py，运行 python demo.py。模型会按需调用 @tool，答案在 result.content。
python
import asyncio
import os
from pagent import LLM, Agent, Session, tool
@tool()
def get_weather(city: str) -> str:
"""Return weather for the city."""
return f"Sunny in {city} today."
async def main():
if not os.getenv("OPENAI_API_KEY"):
raise SystemExit("Set OPENAI_API_KEY first.")
agent = Agent(
llm=LLM("gpt-4o-mini"),
session=Session("You are helpful. Use tools when needed."),
tools=[get_weather],
max_turns=24,
)
result = await agent.run("What's the weather in Xiamen?")
print(result.content)
asyncio.run(main())python
import asyncio
import os
from pagent import Agent, DeepSeek, Session, tool
@tool()
def get_weather(city: str) -> str:
"""Return weather for the city."""
return f"Sunny in {city} today."
async def main():
if not os.getenv("DEEPSEEK_API_KEY"):
raise SystemExit("Set DEEPSEEK_API_KEY first.")
agent = Agent(
llm=DeepSeek("deepseek-chat"),
session=Session("You are helpful. Use tools when needed."),
tools=[get_weather],
max_turns=24,
)
result = await agent.run("What's the weather in Xiamen?")
print(result.content)
asyncio.run(main())python
import asyncio
import os
from pagent import LLM, Agent, Session, tool
@tool()
def get_weather(city: str) -> str:
"""Return weather for the city."""
return f"Sunny in {city} today."
async def main():
if not os.getenv("ANTHROPIC_API_KEY"):
raise SystemExit("Set ANTHROPIC_API_KEY first.")
agent = Agent(
llm=LLM(
"claude-sonnet-4-20250514",
base_url="https://api.anthropic.com/v1",
apikey=os.getenv("ANTHROPIC_API_KEY"),
),
session=Session("You are helpful. Use tools when needed."),
tools=[get_weather],
max_turns=24,
)
result = await agent.run("What's the weather in Xiamen?")
print(result.content)
asyncio.run(main())python
import asyncio
import os
from pagent import LLM, Agent, Session, tool
@tool()
def get_weather(city: str) -> str:
"""Return weather for the city."""
return f"Sunny in {city} today."
async def main():
if not os.getenv("MOONSHOT_API_KEY"):
raise SystemExit("Set MOONSHOT_API_KEY first.")
agent = Agent(
llm=LLM(
"kimi-k2.5",
base_url="https://api.moonshot.cn/v1",
apikey=os.getenv("MOONSHOT_API_KEY"),
),
session=Session("You are helpful. Use tools when needed."),
tools=[get_weather],
max_turns=24,
)
result = await agent.run("What's the weather in Xiamen?")
print(result.content)
asyncio.run(main())示例输出：Sunny in Xiamen today.（以模型实际返回为准）。更多见 模型与 API Key。
想用 pagentv4？
仓库还提供较新的类型化 API，围绕 Provider、Message、Runner， 以及可选的 sandbox 执行环境。