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Qwen3 agents lose French tool alignment
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REDDIT · REDDIT// 11d agoNEWS

Qwen3 agents lose French tool alignment

A user reports that a ReAct-style agent built on Qwen3-235B-A22B-Instruct-2507 performs worse when the system prompt is switched from French to English while the metadata and grounding stay French. They suspect the issue is lexical alignment rather than reasoning, and ask whether a fully French or hybrid prompt works best.

// ANALYSIS

Hot take: this sounds less like “Qwen got worse at reasoning” and more like the agent lost lexical alignment with the environment it is operating in.

  • If titles, column names, comments, and user questions are French, keeping the core control language in French is a reasonable default for tool selection accuracy.
  • For ReAct/tool agents, the prompt language often matters most where the model maps text to schema, filters, and resource names, not just where it does abstract reasoning.
  • A hybrid setup is usually the safest bet: English for protocol and guardrails, French for examples, schema-matching guidance, and any instructions that depend on the actual data language.
  • Bilingual prompting can help, but it can also add ambiguity if the model starts treating both languages as interchangeable instead of grounding on the dominant one in the data.
  • The most practical test is an A/B eval on the same tool traces: French-only system prompt vs English-only vs hybrid, scored on correct resource/field/filters selection.
// TAGS
qwenollamaagentstool-callingreactprompt-engineeringretrievalanalyticsfrenchbilingual

DISCOVERED

11d ago

2026-03-31

PUBLISHED

11d ago

2026-03-31

RELEVANCE

8/ 10

AUTHOR

Odd-Area-6520