pydantic-ai-researcher

Created By
ibagura year ago
pydantic-ai-researcher is a research system that orchestrates an asynchronous loop between two specialized agents: a research agent and an evaluator agent. The research agent answers complex queries using external MCP servers, while the evaluator agent assesses and refines these answers, iterating until a satisfactory response is attained.
Overview

what is pydantic-ai-researcher?

pydantic-ai-researcher is a research system that orchestrates an asynchronous loop between two specialized agents: a research agent and an evaluator agent. The research agent answers complex queries using external MCP servers, while the evaluator agent assesses and refines these answers, iterating until a satisfactory response is attained.

how to use pydantic-ai-researcher?

To use pydantic-ai-researcher, ensure Python 3.x is installed, install the required packages using Pipenv or pip, configure the necessary environment variables in a .env file, and run the project with the command python main.py. You can then type your research queries in the interactive prompt.

key features of pydantic-ai-researcher?

  • Asynchronous Research Loop: Iterative evaluation and improvement of research answers.
  • Dual Agent System: Utilizes a research agent for data gathering and an evaluator agent for feedback.
  • Pluggable MCP Servers: Integrates with multiple MCP servers (Tavily, Brave Search, arXiv) for diverse data sources.
  • Environment Configurable: Uses environment variables and .env files for API key configuration.
  • Easy Setup: Straightforward installation via Pipfile or requirements.txt.

use cases of pydantic-ai-researcher?

  1. Conducting in-depth research on complex topics by leveraging multiple data sources.
  2. Iteratively refining answers to ensure high-quality responses to research queries.
  3. Utilizing external APIs to gather diverse information for academic or professional research.

FAQ from pydantic-ai-researcher?

  • What is the purpose of the dual agent system?

The dual agent system allows for initial data gathering and subsequent evaluation to improve the quality of answers.

  • How do I configure the environment variables?

You need to create a .env file at the project root and define the required API keys for the services you wish to use.

  • Can I use this project for any type of research?

Yes, as long as you have access to the necessary MCP servers and APIs, you can use it for various research topics.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
ibagur
Star
0
Language
Python
License
-

Recommend Servers

View All
Tavily Mcp
@tavily-ai

JavaScript
a year ago