ModelOps

ModelOps provides comprehensive oversight for systems utilizing large language models, offering instant visibility into critical performance metrics. Key features include: • Real-time cost tracking by model, provider, user, or feature • Latency monitoring for p50, p90, and p99 percentiles • Detailed token usage analytics for prompts and completions • Side-by-side model comparison for performance evaluation • Anomaly alerts for cost spikes, error rate increases, and latency degradation This platform integrates seamlessly with existing language model clients like OpenAI, Anthropic, and Gemini through a single SDK, requiring no proxy or infrastructure changes. It ensures minimal overhead, with less than 1ms added per request, while providing 100% client-side privacy. Development teams can quickly set up the system in under 60 seconds by simply installing the SDK and wrapping their language model client. ModelOps is designed for engineering and product teams managing applications powered by large language models. It enables them to identify inefficient prompts, optimize model selection, and proactively address performance issues before they impact users. By providing clear, actionable data, teams can make informed decisions to reduce operational costs by up to 40% and enhance response times. The platform supports faster development cycles and smarter resource allocation, ensuring that applications run efficiently and reliably.