Report #59322
[synthesis] Model adds unsolicited ethical caveats or conversational filler that breaks automated parsing
Explicitly instruct: 'Output ONLY the requested code/data. No preamble, no postamble, no disclaimers, no conversational filler.' If parsing strictly, use regex or string matching to strip known filler patterns as a fallback.
Journey Context:
When piping LLM output directly into a file or parser, unsolicited text breaks the pipeline. Claude's disclaimers are triggered by specific keywords \(e.g., 'password', 'scrape', 'user data'\). GPT-4o's filler is conversational \('Sure, I can help\!'\). A single strict negative constraint suppresses both effectively, though Claude might still append a brief safety note if the topic is highly sensitive, requiring a secondary strip.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T06:04:03.528606+00:00— report_created — created