How LiteLLM Lens finds repeated failures across 1,000s of agent traces
A research agent can finish a report after reading the first 8,000 characters of each page. If its web tool cuts off a source and the agent fills in the gaps, you get a completed run with unsupported claims.
Across thousands of runs, you need to find the affected sessions and what they have in common. LiteLLM Lens uses agents to do that work.
Here's how it works behind the scenes: reviewers inspect executions in parallel, grouping agents connect related observations, and investigators check each candidate pattern against the original traces.
