PromptLayerDebug AI systems with complete execution visibility

PromptLayer

PromptLayer provides comprehensive observability for LLM applications, giving developers complete visibility into AI system behavior. Trace every request, workflow, tool call, and cost across your entire LLM stack through a unified timeline that eliminates guesswork from AI debugging.

Product Highlights

• Request Tracing: Inspect every prompt, response, retry, and failure in one timeline with 14-day retention and only 4ms overhead
• Workflow Visualization: Follow multi-step AI executions across agents, tools, and providers with nested parent-child spans
• Cost Management: Track token usage and spend by model, provider, or project with p50/p95 latency metrics
• Silent Failure Detection: Identify retry storms, stalled tool calls, cost spikes, and model inconsistencies before they impact users

Use Cases

• AI Debugging: Diagnose why production LLM requests fail differently than in staging with complete execution waterfalls
• Cost Optimization: Monitor unexpected spend increases from long conversation threads or inefficient model usage
• Performance Monitoring: Track latency across providers and detect bottlenecks in multi-step AI workflows
• Compliance & Auditing: Maintain complete records of AI system behavior for regulatory requirements

Target Audience

PromptLayer serves AI engineers, ML teams, and technical founders building production LLM applications who need production-grade observability to debug, optimize costs, and understand complex AI system behavior at scale.