agenthive

# AgentHive

A next-generation multi-agent AI analysis platform powered by Groq's LLM API. AgentHive provides real-time content analysis through specialized AI agents, delivering comprehensive insights through an intuitive Streamlit interface.

## What the Project Does

AgentHive is a multi-agent AI system that analyzes various types of content using specialized AI agents. It processes text, PDF files, CSV data, and web content to extract insights, analyze sentiment, identify trends, and provide strategic recommendations.

## How It Works

The platform uses a coordinated workflow of AI agents:

1. **Content Processing**: Input content is processed based on type (text, PDF, CSV, web scraping)
2. **Agent Execution**: Specialized agents analyze the content sequentially:
   - Content Extraction Agent: Identifies key topics, entities, and insights
   - Sentiment Analysis Agent: Analyzes overall sentiment and emotions
   - Trend Identification Agent: Detects patterns and emerging trends
   - Strategy Recommendation Agent: Provides actionable recommendations
3. **Result Aggregation**: Results from all agents are combined into a comprehensive analysis
4. **Visualization**: Results are displayed through an interactive Streamlit dashboard

## APIs Used

- **Groq API**: Primary LLM API for AI agent processing
  - Models: llama-3.3-70b-versatile (reasoning), deepseek-r1-distill-llama-70b (creative)
  - Used for generating structured JSON responses from specialized prompts

## Setup

1. Install dependencies:
   ```bash
   pip install -r requirements.txt
   ```

2. Configure environment:
   ```bash
   GROQ_API_KEY=your_groq_api_key_here
   ```

3. Run the application:
   ```bash
   streamlit run app.py
   ```

## MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merg