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Tech Stack:
Backend: Python (Flask, Socket.IO, AutoGen, OpenAI)
Frontend: React
Working Parts:
Flask and Socket.IO initialization.
Frontend sends messages to backend via /api/chat.
User's me…
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ConversationBufferMemory is useful in conversational agents, like codes below
```
memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
chain = initialize_agent(tools…
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Need to test interactions with multiple agents, how they react to observations of seeing other agents, planning with other agents, and conversations.
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Hello,
I am just trying to create a simple end to end example to call a python function from agentscope. When I run it in jupyter notebook, it runs fine and gives me text box. I am confused as how …
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Specifically there are no clear instructions on what a `tool` is. The docs reference a class called `dspy.Tool` which doesn't seem to exist.
https://github.com/stanfordnlp/dspy/blob/2d845de186b5d47…
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import autogen
import logging
from virus_agent import VirusAgent
from text2sql_agent import GoldenEyesAgent
from autogen import ConversableAgent
from autogen import config_list_from_json
from au…
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain documentation with the integrated search.
- [X] I used the GitHub search to find a sim…
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### Checked other resources
- [X] I added a very descriptive title to this issue.
- [X] I searched the LangChain.js documentation with the integrated search.
- [X] I used the GitHub search to find a …
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function calling 过程中,我想要在某些function执行前先询问用户是否可以执行,如果可以执行在进行执行。目前qwen-agent是否能实现这样的效果。我尝试更改提示词,但是并没有效果。他总是已经执行完毕了,才问你是否可以执行