ZohnSun
commented
3 months ago 调用百度样例会出现，智谱没有出现
agent_factory\
.set_settings("current_model", "ERNIE")\
.set_settings("model.ERNIE.auth", {
"aistudio": "xxxxxxxxxxxxxxxxxxxxxxxxxxx",
})
agent = agent_factory.create_agent() agent.alias_manager.print_alias_info()
result = ( agent_GLM_3.general("输出规定", "必须使用中文进行输出")
role: agent自身的角色设定信息
.role({
"姓名": "Agently小助手",
"任务": "使用自己的知识为用户解答常见问题",
})
# user_info: agent需要了解的用户相关的信息
.user_info("和你对话的用户是一个只具有Python编程基础知识的入门初学者")
# abstract: 对于之前对话（尤其是较长对话）的总结信息
.abstract(None)
# chat_history: 按照OpenAI消息列格式的对话记录list
## 支持:
## [{ "role": "system", "content": "" },
## { "role": "assistant", "content": "" },
## { "role": "user", "content": "" }]
## 三种角色
.chat_history([])
# input: 和本次请求相关的输入信息
.input({
"question": "请问Python中协程和线程的关系和区别是什么？",
"reply_style_expect": "请用对编程概念零基础的人能理解的方式进行回复"
})
# info: 为本次请求提供的额外补充信息
.info("协程相关关键词", ["asyncio", "coroutine", "event loop"])
.info("线程相关关键词", ["threads", "queue"])
# instruct: 为本次请求提供的行动指导信息
.instruct([
"请使用{reply_style_expect}的回复风格，回复{question}提出的问题",
])
# output: 对本次请求的输出提出格式和内容的要求
.output({
"reply": ("str", "对{question}的直接回复"),
"next_questions": ([
("str",
"根据{reply}内容，结合{user_info}提供的用户信息，" +
"给用户推荐的可以进一步提问的问题"
)], "不少于3个"),
})
# start: 用于开始本次主要交互请求
.start())
Maplemx
Xls1994
standing88
zhaopengme
pycharm中执行样例总是报线程问题，这个异步是否需要优化一下
Exception ignored in: <function _ProactorBasePipeTransport.del at 0x000001B09421C4C0> Traceback (most recent call last): File "D:\Python\Python39\lib\asyncio\proactor_events.py", line 116, in del self.close() File "D:\Python\Python39\lib\asyncio\proactor_events.py", line 108, in close self._loop.call_soon(self._call_connection_lost, None) File "D:\Python\Python39\lib\asyncio\base_events.py", line 751, in call_soon self._check_closed() File "D:\Python\Python39\lib\asyncio\base_events.py", line 515, in _check_closed raise RuntimeError('Event loop is closed') RuntimeError: Event loop is closed