AgentLens

AgentLens provides essential operational visibility for applications using large language models. This platform offers robust tracking and debugging capabilities, ensuring developers can understand and resolve issues quickly. Key features include: * Comprehensive session tracing across all language model calls * Detailed cost, latency, and error logging * Full prompt and completion history * Framework-agnostic integration with zero code changes * Self-hostable via Docker Compose AgentLens empowers development teams to monitor the performance and expenditure of their language model applications. It captures every interaction, allowing for precise identification of which call failed, what information the model processed, and the impact on operational costs. With capabilities like live feeds for real-time monitoring, session replay for debugging past interactions, and PII scrubbing for data privacy, it ensures that production environments run smoothly and securely. This tool is ideal for engineering teams and developers building and deploying language model-based applications. It helps diagnose problems, manage expenses, and maintain the reliability of their systems, ensuring stable and predictable operation.