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1. IL-0022 Three overlapping infrastructure bugs (context-window misrouting, TPU output corruption and an XLA top-k miscompilation) degraded Claude's responses

   Anthropic2025

   Symptoms

   From early August 2025 a number of users reported that Claude's responses had become worse. At first the reports were hard to tell apart from the normal variation in user feedback. By late August they had become frequent and persistent enough for Anthropic to open an investigation.

   Response quality degradationMisrouted requests

   Trigger

   A bug from 5 August that sent some Sonnet 4 requests to servers configured for the upcoming 1M-token context window; a misconfiguration deployed to the Claude API TPU servers on 25 August; token-selection and sampling-code changes deployed on 25 and 26 August that removed a December 2024 workaround and exposed a latent XLA:TPU compiler bug; and a routine load-balancing change on 29 August that increased the misrouted traffic.

   Root cause

   Software defect

   Component

   Model request routingTPUXLA compiler

   Contributing factor

   Overlapping failuresMonitoring blind spotLimited debug accessIgnored early signal

   Detection

   User reports of degraded responses from early August, including reports online. They were hard to tell apart from normal feedback variation, and their rising frequency and persistence by late August led Anthropic to open an investigation; internal evaluations did not detect the degradation.

   Remediation

   • Fixed the routing logic so short- and long-context requests go to the correct server pools (deployed 4 September, rolled out to all platforms by 18 September)
   • Rolled back the TPU server change that corrupted token generation (2 September)
   • Rolled back the top-k sampling change for Haiku 3.5 (4 September), Opus 3 (12 September) and Sonnet 4
   • Switched from approximate to exact top-k and standardized some additional operations on fp32 precision

   Action items

   • Add detection tests for unexpected character outputs to the deployment process
   • Develop more sensitive evaluations that reliably tell working and broken implementations apart
   • Run quality evaluations continuously on true production systems
   • Build infrastructure and tooling to debug community-sourced feedback faster without sacrificing user privacy
   • Fix the approximate top-k compiler bug together with the XLA:TPU team

   Lessons

   Benchmarks, safety evaluations and canary deployments missed degradation that users noticed, partly because the model often recovers from isolated mistakes, and Anthropic relied too heavily on noisy evaluations, with no clear way to connect rising reports to each of its recent changes. Overlapping bugs with different symptoms on different platforms looked like random degradation, and privacy controls on user interactions kept engineers from examining the interactions needed to identify or reproduce the bugs. Anthropic concluded that it needs evaluations running continuously on production and a continuous signal from users, such as the /bug command in Claude Code and the thumbs-down button in the Claude apps.

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