AI Engineer Beginner Project 1 - Agentic Behavior (Full Code)

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AI Summary

Project Summary: Agentic Behavior AI System

• Objective: Create a system where two AI agents interact autonomously.
• Languages: Python (primary), JavaScript (alternative).
• End Result: AI agents engage in a conversation with thoughts and responses.
• Models Used: CLAE 3 Opus, GPT-4, and others based on preference.
• Features:
  • Text-to-speech for each agent with distinct voices.
  • Prompt optimization for agent behavior.
  • Fun use cases exploration.
• Tools: LLMs, Python code.
• Sponsor: Brilliant.org - interactive learning in AI, programming, etc.
• Code Overview:
  • Import necessary libraries.
  • Set API keys and clients.
  • Define voice IDs for text-to-speech.
  • Create functions for:
    • Opening text files for system messages.
    • Converting text to speech.
    • Playing audio files.
  • Establish agent functions (mic_chat and ani_chat) using different APIs.
  • Main function:
    • User inputs topics for agents and sets message exchange limit.
    • System messages define agent personalities and conversation direction.
    • Memory lists store conversation history for context.
    • Initial user input starts the conversation loop.
    • Text-to-speech function generates audio for each message.
    • Loop continues for the set number of messages.
• Optimization: Adjust prompts to guide conversation topics and agent behavior.
• Usage: Run script, input topics, and observe AI conversation.
• Access: Code available on community GitHub for members.
• Next Steps: Test with different examples and optimize prompts.

Example Usage

1. Set up agents with opposing views on AI.
2. Agents discuss improving Python code (the script itself).
3. Adjust system messages to steer conversations.

Additional Notes

• The system allows for dynamic conversations based on user-defined topics.
• The project demonstrates the integration of AI models and text-to-speech for interactive agent communication.
• Brilliant.org offers courses to further understand and build upon such systems.