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Bump max_tokens to 1536 to avoid truncation on long assembly
Two test cases were hitting the 1024 limit and getting cut off mid-explanation. 1536 gives enough headroom without encouraging verbosity. 🤖 Generated by LLM (Claude, via OpenClaw)
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app/prompt.yaml

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@@ -2,7 +2,7 @@ name: Production Sonnet 4.6
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description: Sonnet 4.6 with deduplicated, tighter prompts
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model:
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name: claude-sonnet-4-6
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max_tokens: 1024
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max_tokens: 1536
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temperature: 0.0
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audience_levels:
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beginner:

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