I wrote about building production LLM workflows in JavaScript and created a complete working example.
The example demonstrates:
- Multi-step workflow state management
- OpenAI API integration with automatic retries and exponential backoff
- Caching to reduce costs
- GitHub webhook integration with signature verification
- Serverless deployment (no infrastructure to manage)
This sits between lightweight prompt libraries (LangChain) and heavyweight orchestrators (Airflow). It's for developers who need state persistence, retries, and scheduling without spinning up new infrastructure.
bjabrboe1984•2mo ago
The example demonstrates: - Multi-step workflow state management - OpenAI API integration with automatic retries and exponential backoff - Caching to reduce costs - GitHub webhook integration with signature verification - Serverless deployment (no infrastructure to manage)
This sits between lightweight prompt libraries (LangChain) and heavyweight orchestrators (Airflow). It's for developers who need state persistence, retries, and scheduling without spinning up new infrastructure.
Live example code: https://github.com/RestDB/codehooks-io-examples/tree/main/ll...
Blog post with details: https://codehooks.io/blog/building-llm-workflows-javascript
The example is fully functional - you can deploy it in 5 minutes with `npm install` and `coho deploy`.