PromptLayer

PromptLayer provides comprehensive observability for developers building advanced language model applications. Key features include: • Trace requests, workflows, and tool calls • Monitor token usage, latency, and costs • Identify failures and debugging information • Visualize execution paths in a timeline view • Filter by tag, user, model, or status for detailed analysis This platform allows you to understand every aspect of your application's interactions, from initial prompt to final response. It tracks individual requests, retries, and tool integrations, offering deep insights into performance and operation without manual span definitions. Developers can quickly inspect prompts, responses, and associated metadata to pinpoint issues. PromptLayer excels at viewing multi-step executions across agents, tools, and different providers, presenting parent and child spans in an ordered flow for clear code path visualization. It also offers granular cost tracking, allowing you to monitor token usage and spend by model, provider, or project, alongside latency metrics to prevent unexpected invoice surprises. Designed for engineering teams, PromptLayer helps debug complex systems by showing precisely what occurred on problematic requests, even when traditional monitoring falls short. It ensures developers have the same level of visibility for their language model applications as they expect from modern software-based systems, enabling faster problem resolution and performance optimization.