I Added a /recovery Endpoint to My LLM Proxy So Agents Never Lose Progress Mid-Task

1. 1Build a /recovery endpoint in your LLM proxy using a framework like Flask or Express
2. 2Configure the endpoint to store and retrieve agent progress data using a database like MongoDB or Redis
3. 3Implement retry logic in your LLM proxy to retry failed requests and fall back to another provider if needed
4. 4Test the /recovery endpoint with a sample agent workflow to ensure progress is not lost mid-task
5. 5Apply the /recovery endpoint to your production LLM proxy and monitor its performance

Developers and engineers working with LLM proxies and agents can benefit from this technique to improve system robustness and prevent progress loss

💡 Adding a /recovery endpoint to your LLM proxy can significantly improve system reliability and prevent progress loss

🚀 Add a /recovery endpoint to your LLM proxy and never lose agent progress mid-task again! 💻