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A powerful, extensible agent framework leveraging ReACT methodology for autonomous task execution and human-in-the-loop collaboration.
๐ Quick Start
Install the package:
pip install hello_agent
Set up your environment variables:
Create a .env file in the root directory of your project and add the following:
# OpenRouter API Key# Get your API key from https://openrouter.ai/OPENROUTER_API_KEY=your_api_key_here# Optional: LLM Model Settings# Default models are set in agents.yaml, but can be overridden here# RESEARCHER_MODEL=anthropic/claude-2# EXECUTOR_MODEL=anthropic/claude-2# ANALYZER_MODEL=anthropic/claude-2# Optional: Debug Mode# Set to true to enable additional logging# DEBUG=false# Optional: HITL Settings# Enable/disable human-in-the-loop by default# Can be overridden with --hitl flag# HITL_ENABLED=false
Run the agent:
python agent/main.py
๐ฏ Key Features
Feature
Description
ReACT Methodology
Structured reasoning and action framework for intelligent task execution
Multi-Modal Tasks
Research, execution, and analysis capabilities
Streaming Responses
Real-time output with progress tracking
Human (HITL) Integration
Optional human validation at key decision points
Extensible Tools
Modular architecture for custom tool integration
Advanced LLM Support
Powered by OpenRouter API for state-of-the-art language models
๐ง Core Capabilities
Capability
Details
Research
Information gathering, analysis, and synthesis
Execution
Task implementation with validation and quality checks
Analysis
Performance metrics, optimization, and recommendations
HITL
Human validation for critical decisions
Progress Tracking
Real-time status updates and metrics
Error Recovery
Robust error handling and state preservation
๐ฎ Control Modes
Mode
Description
Autonomous
Self-directed task execution with ReACT methodology