Graphsignal
Graphsignal is an observability platform for monitoring and debugging AI agents for engineering teams
Graphsignal is an observability and monitoring platform designed for tracing and debugging production AI agents and LLM-powered applications. Business owners and technical leads use this tool to gain visibility into cost, latency, and performance metrics across their entire AI infrastructure. By implementing detailed tracing, teams can identify bottlenecks in model responses and monitor token usage in real-time. The platform provides automatic instrumentation for major frameworks, allowing users to track execution traces with deep context into model calls and vector database queries. Graphsignal helps teams resolve production errors quickly through its built-in debugging interface which captures full request and response data. This prevents silent failures in autonomous agents and ensures that natural language processing tasks remain reliable as they scale. Integrating Graphsignal into your 2026 development workflow ensures that AI costs remain predictable through proactive monitoring of resource consumption. You can find more details on how this fits into your tech stack via surfai.app, where technical tools are vetted for business utility. The tool also includes alerting features that notify engineers the moment an LLM application deviates from expected performance thresholds. Graphsignal offers a freemium model that includes a free tier for small-scale development and testing. Paid plans are available for businesses requiring higher trace volume and extended data retention periods.
- Pricing: freemium