The platform's core strength lies in its robust observability features, offering end-to-end execution tracing that captures every interaction, including detailed context around prompts, tool calls, and responses generated from real production traffic. This deep visibility allows engineering teams to precisely diagnose issues by replaying specific production sessions within an integrated playground environment, effectively turning live usage data into actionable debugging scenarios. Furthermore, this captured production data can be leveraged directly to create versioned evaluation datasets, ensuring that subsequent optimization efforts are grounded in actual observed behavior rather than hypothetical testing scenarios.
Beyond tracing, Respan facilitates rigorous evaluation and optimization loops. It allows users to compose complex evaluation workflows that seamlessly integrate human review, custom code checks, and LLM-based judges, all measured against user-defined business metrics. This structured approach extends to optimization, where every moving part—prompts, tools, models, and routing logic—is version-controlled. The platform enables direct comparison of new configurations against live production baselines, ensuring that any optimization attempt demonstrably improves quality, cost, or latency before being promoted through the unified deployment gateway, which supports over 500 different models.
