🤝 Top Collaborators
.png&w=640&q=75)
🤓 Latest Submissions
O(1) Agent
O(1) is a hybrid AI orchestration platform that intelligently routes every request to the most efficient execution path, balancing accuracy, latency, and operational cost. Instead of treating every prompt equally, the system analyzes task complexity and dynamically selects the optimal execution strategy. The routing pipeline begins with T0, a deterministic Python engine capable of solving structured, factual, mathematical, classification, and rule-based tasks instantly without invoking an LLM, resulting in zero LLM inference cost. Requests requiring language understanding are automatically escalated to T1, where multiple Gemma 4 models are served locally on AMD GPUs using ROCm and vLLM. This provides responses that are fast and of same accuracy while spending less on premium models. When local inference is insufficient or a request exceeds predefined routing criteria, does the router escalate to T2, a cloud-hosted LLM, where prompts are optimized to minimize token consumption while preserving response quality. Beyond routing, the platform includes automatic task classification, adaptive model selection, token-efficiency profiling, latency benchmarking, structured request logging, performance analytics, response caching, and real-time streaming using Server-Sent Events (SSE). Built-in benchmarking and monitoring provide detailed insights into throughput, latency, GPU utilization, cache performance, and routing decisions, making the system suitable for both production deployments and research workflows.
13 Jul 2026
