Converting OpenAI's Swarm Framework to TypeScript Using AI

OpenAI Swarm TypeScript Conversion

Converting OpenAI's Swarm Framework to TypeScript: A Quick Process

OpenAI released their Swarm multi-agent educational framework on Friday. I wanted a TypeScript version. Here's how it went down.

The Conversion Process

Using o1-mini from OpenAI, I effectively one-shotted the entire conversion, resulting in a working repo.

Key points:

  1. Functions remained identical
  2. Repo structure was preserved
  3. Overall functionality matched the original

Accessing the TypeScript Version

The converted framework is now available:

Observations

It's interesting to note that some developers are attempting similar conversions manually. This AI-driven conversion process could significantly reduce the time and effort required for such tasks.

Technical Insight: TypeScript Function Inspection

An interesting challenge emerged during the conversion process. Unlike Python, TypeScript/JavaScript doesn't offer straightforward function inspection for argument types. There are three main workarounds:

  1. Separate schema declaration
  2. Decorator with metadata inspection (with limitations)
  3. JSDoc parsing

After consideration, I opted for separate schema declarations. It's more explicit and potentially less error-prone, though it does add some overhead to tool calls.

Conclusion

This project demonstrates the potential of AI-assisted development in rapidly converting and adapting frameworks. It also highlights some language-specific challenges that arise in such conversions.

The ability to quickly port frameworks between languages opens up new possibilities for cross-language development and tool accessibility. As these capabilities evolve, they're likely to significantly impact how we approach coding tasks and framework adaptations.