The latest articles on DEV Community by Alessandro Pioli (@alessandro_pioli_5fcab5ea). https://dev.to/alessandro_pioli_5fcab5ea https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1547356%2F14968805-d92e-4866-9b13-981463c72265.jpg https://dev.to/alessandro_pioli_5fcab5ea en Alessandro Pioli Fri, 24 Jul 2026 13:44:05 +0000 https://dev.to/alessandro_pioli_5fcab5ea/how-we-solved-502-read-timeouts-on-slow-reasoning-llm-apis-using-sse-stream-aggregation-in-python-1g36 https://dev.to/alessandro_pioli_5fcab5ea/how-we-solved-502-read-timeouts-on-slow-reasoning-llm-apis-using-sse-stream-aggregation-in-python-1g36 <p>Hi everyone!<br> Managing multiple LLM providers, rate limits, and API downtime while keeping latency and costs low became a hassle, so I built llmproxy.<br> What it does:<br> ⚡ Response Caching: Reduces duplicate requests and cuts API costs.<br> 🔄 Automatic Failover: Seamlessly fallbacks to backup providers or local models if your primary API is rate-limited or down.<br> 🏡 Local + Cloud Routing: Route light prompts to local models (Ollama/vLLM) and heavy ones to cloud APIs (OpenAI/Anthropic).<br> 🔌 OpenAI Compatible: Drop-in replacement—just point your base_url to llmproxy.<br> It’s completely open-source and easy to spin up with Docker.</p> <p>📂 GitHub: <a href="https://github.com/lordraw77/llmproxy" rel="noopener noreferrer">https://github.com/lordraw77/llmproxy</a></p> <p>I’d love to get your feedback, feature requests, or suggestions on how to improve it!</p> ai python proxy programming