How to Integrate Your Agent Swarms Into Custom GPTs
AI Summary
Video Summary Outline
- Introduction
- Integration of agent swarms into custom GPTs
- Accessibility for all users
- Exciting updates and new Discord community
- Background
- Presenter: Arsen
- Goal: Automate AI agency with AI
- Agency Swarm framework features
- Does not write prompts
- Reliable in production
- Easy communication flow definition
- Community
- New Discord server for idea sharing and support
- Personal engagement from Arsen
- Demonstration
- Custom GPT with BitInvest swarm integration
- Example queries and agent responses
- Synchronous execution feature
- Technical Updates
- Synchronous execution mode in the agency class
- Threading mode for task handling
- SendMessage and GetResponse tools
- No hard-coded prompts, full system control
- Database integration for agent and thread persistence
- Firestore NoSQL database setup for stateless backends
- Documentation and examples improvement
- Setup Guide
- Clone Agency Swarm Custom GPT repository
- Firebase Console setup and Firestore database activation
- Service account key generation and OpenAI key insertion
- Project ID configuration in “.firebaserc file”
- Python environment setup and requirements installation
- Agency setup with agent files and threads callbacks
- Firestore functions for saving and loading threads
- Unique chat histories per conversation
- Deployment using Firebase tools
- Custom GPT schema and settings configuration
- Conclusion
- Instructions for creating a custom GPT with the provided setup guide