See what your AI agents are actually doing in production
Your AI agent completed the conversation without errors. Yet it hallucinated a policy, skipped a step, or took the wrong action. Traditional monitoring tools only see a 200 OK. Ledda detects what others miss. Connect OpenTelemetry traces in 10 minutes. Observe every LLM call, tool usage, and decisions. Get alerts when success rates drop or hallucinations rise. Understandable by your entire team, not just engineers. Native OpenTelemetry. Free: 50,000 units, no credit card required.
For customer support managers, Ledda enables quick identification of AI chatbot failures. For example, a manager can paste a session ID from a customer ticket and instantly see if the AI hallucinated a policy, allowing for faster resolution and improved customer satisfaction.
For AI product managers, Ledda provides visibility into AI agent decision-making during customer conversations. This allows them to pinpoint why an AI might have skipped a crucial step, like processing a refund, enabling data-driven product improvements.
For AI application developers, Ledda helps diagnose 'silent failures' where an AI completes a task but with incorrect output. For instance, a developer can review traces to see if the AI provided the wrong answer to a user query, even without an explicit error message.
For solopreneurs, Ledda offers a way to ensure their AI-powered service maintains quality without needing a dedicated engineering team. They can use Ledda to automatically flag conversations where the AI only partially completed a request, preventing customer dissatisfaction.
Ledda offers a free tier that includes 50,000 units and a 7-day lookback period. No credit card is required to start using the free plan.
Ledda is currently in early access, and pricing is discussed during a demo based on your specific volume and team size. They offer a free tier for initial use.
Ledda works with any LLM-based agent or assistant that produces traces. It supports OpenTelemetry, Traceloop, LangChain, and OpenInference out of the box.
LangSmith and Langfuse are developer tools for debugging prompts and chains. Ledda is designed for support, CS, and product teams, focusing on conversation-level context rather than raw LLM internals.
Silent failures occur when an AI agent completes a conversation without throwing an error, but still hallucinates information, skips a step, or provides an incorrect answer. Ledda is designed to catch these issues.
If you already have tracing set up (like OpenTelemetry), Ledda can be integrated in under 10 minutes. No code changes to your agent are typically required.
Yes, Ledda is built for non-technical users like support, CS, and product teams. They can search conversations and understand AI actions without needing to read code or query databases.
We're still verifying the official pricing for Ledda. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
Are you the publisher of this tool? to edit this information.
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