LLUMO AI: Supercharging AI Agent Reliability and Debugging

llumo.ai is an all-in-one platform engineered for AI product teams to ensure reliability at scale through real-time observability, traceable input-output workflows, and advanced debugging capabilities. It empowers developers and teams to monitor, evaluate, and optimize AI agents with precision, offering step-by-step state tracing, contextual logs, and the powerful Eval360 Engine for custom evaluations. With seamless integration via SDK or API, support for multiple LLMs and RAG frameworks—including custom-hosted models—llumo.ai enables fast, transparent, and explainable operations, turning user feedback into actionable metrics and reducing hallucinations by up to 80%. Its enterprise-grade guardrails and decision audits make it ideal for high-stakes AI deployments, while the LLUMO Co-pilot delivers guided insights for 10x faster debugging. Trusted by leading AI companies, it’s a must-have tool for teams building robust, scalable AI systems.

Key Features:

• Real-time observability for AI agents
• End-to-end full-stack observability with traceable input-output, prompts, and responses
• Step-by-step debugging with contextual logs and state tracing
• Eval360 Engine for custom evaluations using templates
• Turn user feedback into structured metrics
• Benchmarking across multiple models (OpenAI, Claude, Groq, and more)
• Agent reliability layer with LLUMO Co-pilot for guided debugging insights
• Audit every action and API call for transparency and explainability
• Easy integration via SDK or API with minimal coding required
• Support for various LLMs and RAG frameworks
• Compatibility with custom-hosted LLMs
• Enterprise-grade guardrails and decision audits

Pricing: llumo.ai offers a free 14-day trial, allowing teams to experience its full suite of debugging and observability features before committing. After the trial, it transitions to a paid subscription model with tiered plans based on usage and team needs.

Conclusion: llumo.ai is a transformative platform that elevates AI agent development with intelligent observability and rapid debugging, making it essential for teams aiming to build trustworthy, high-performing AI systems at scale.