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Respan is an AI observability and evaluation platform designed specifically for AI agents and large language model (LLM) workflows. Built by a team focused on improving AI reliability, it addresses the challenges of tracing, debugging, and optimizing AI behavior in production environments. Respan captures detailed execution traces of every prompt, tool call, and response, enabling teams to inspect and reproduce real sessions with rich context. It integrates human and automated evaluation workflows to measure AI quality against meaningful metrics. The platform supports version control and deployment of prompts, models, and workflows through a unified gateway, simplifying management and rollout. Respan also provides real-time monitoring with customizable dashboards and alerts to detect shifts in AI behavior before they impact users. It is ideal for engineering, product, and AI teams who need to ship reliable AI-powered products at scale with confidence.
4.7/5
Accurate, detailed, and actionable
Intuitive and developer-friendly
To provide end-to-end observability, evaluation, and control over AI agent behavior in production.
Compatible with popular AI frameworks and integrates with existing AI stacks and 500+ model providers through a single gateway.
Freemium with paid tiers offering advanced features and enterprise compliance.
Features with the highest value for users are highlighted here.
End-to-end AI traceability
Unified evaluation workflows
Version control for prompts and models
Single gateway deployment
Real-time production monitoring
Customizable dashboards
Automated alerting and response
Support for 500+ AI models
AI Engineers
Product Managers
Data Scientists
DevOps Teams
Startups
Enterprises
AI Researchers
Customer Support Teams
AI Product Designers
Small Development Teams
Free
Pro
Weekly intelligence on AI strategy, operations, and market shifts. No noise. No narrative. Direct to your inbox.
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