Respan

Respan is an AI observability and evaluation platform designed for teams building and operating AI agents. It provides end-to-end tracing, evaluation workflows, prompt optimization, a unified AI gateway, and production monitoring. The platform helps developers capture every prompt, tool call, and response from production traffic, reproduce and inspect real sessions, and turn traces into actionable datasets. Respan supports composing evaluation flows that combine human review, code checks, and LLM judges, all measured against user-defined metrics. It also enables versioning of prompts, tools, models, and workflows, with the ability to compare changes against real baselines. Users can deploy through a single gateway with access to 500+ models, and monitor production behavior with custom dashboards, real-time alerts, and automated response workflows. Respan is used by teams at scale, processing over 80 trillion tokens, and is trusted by companies like AlphaSense, Retell AI, Gumloop, Lovable, Finta, Mem0, and Giga.

Key Features

• Tracing: End-to-end execution paths with rich context (prompts, tool calls, responses). Search, filter, and sort by content, latency, cost, quality, tags, and custom metadata.
• Evaluation: Compose human, code, and LLM judges in one workflow. Define metrics first, then treat judges as functions. Build and version datasets from production traces.
• Optimization: Version prompts, tools, models, and workflows. Compare changes against prior versions using the same product data and evaluation criteria.
• Deployment: Promote prompts and workflows from UI to production. Route across 500+ models through a single gateway. Gate releases with rollback capability.
• Monitoring: Custom dashboards with 80+ graph types. Real-time alerts via Slack, email, or text. Trigger automations from production signals.

Who It’s For

Engineers, product teams, and founders building and scaling AI agents and LLM-powered applications.