Permchain x Researcher

Sample use of Langchain's Autonomous agent framework Permchain with GPT Researcher.

Use case

Permchain is a framework for building autonomous agents that can be used to automate tasks and communication between agents to complete complex tasks. This example uses Permchain to automate the process of finding and summarizing research reports on any given topic.

The Agent Team

The research team is made up of 3 agents:

Researcher agent (gpt-researcher) - This agent is in charge of finding and summarizing relevant research papers.
Editor agent - This agent is in charge of validating the correctness of the report given a set of criteria.
Reviser agent - This agent is in charge of revising the report until it is satisfactory.

How it works

The research agent (gpt-researcher) is in charge of finding and summarizing relevant research papers. It does this by using the following process:

Search for relevant research papers using a search engine
Extract the relevant information from the research papers
Summarize the information into a report
Send the report to the editor agent for validation
Send the report to the reviser agent for revision
Repeat until the report is satisfactory

How to run

Install required packages:
```
pip install -r requirements.txt
```
Run the application:
```
python test.py
```

Usage

To change the research topic, edit the query variable in test.py to the desired topic.