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AI Agents

Use qwen 32B or llama3 70B for much better results 

pip install pyautogen

Download LM Studio
  - Download the required model 
  - Start the model's server 
  - Copy the curl of the model and run it in the terminal 
  - copy the CURL address (EX: http://localhost:1234/v1) and place it in the base URL

Solar Agent:

Finds the mass of the planet and performs arthemetic operations

Group Chat Agent:

Research Agent

Group Chat

Jokes Agent

Bob, Alice, user_proxy and manager- 4 AI Agents communicates with each other

Bob: Tells a joke

Alice: Creticises the joke

user_proxy: Terminates the joke if alice says so

manager: Manages the other 3 agents 

Coding Agent

Consists of two agents, User and Assistant

  The Assistant Agent creates a folder coding, and under the file creates a python script 

  The User Agent launches the code and finds out the error present in the assistants code, sends it back to the assistant to fix it, 
  this prcoess continues until the desired, fulling functing code is completed

Sequential Chat

Sequential chat in AI is when the AI remembers the flow of the conversation and responds based on what was said earlier. It keeps track of previous messages so it can give more relevant and connected answers, making the conversation feel natural and ongoing.

Group Chat (1)

reflection_with_llm- You can take the entire conversation from Agent 1, summarize it, and give that summary to Agent.

last_message- Alternatively, you can use the "last_message" method to only pass the most recent message to Agent 2.

In the particular QuotesAgent we have used reflection_with_llm

Group Chat (2)

Nested Agent

4

5

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