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602998b76c
honcho_reasoning's minimal tier hard-caps Honcho's dialectic output at 250
tokens combined with the model's own hidden reasoning tokens. Confirmed via
direct honcho-api server logs that a multi-fact query ("summarize known
facts about this peer and communication preferences") run at
reasoning_level=minimal gets cut off mid chain-of-thought at exactly
output_tokens=250, before the model ever reaches a synthesized answer.
low/medium/high/max fall back to Honcho's much larger global dialectic
default and don't hit this cap. Since dialecticDynamic is on by default and
the calling model picks reasoning_level itself via this tool parameter, the
fix is to make the tradeoff explicit in the parameter description so the
model defaults to low unless the query is genuinely a single-fact lookup.
Schema-description-only change; the shared dialectic_max_chars truncation
cap in session.py's dialectic_query() is a separate fix (its own PR).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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| .. | ||
| byterover | ||
| hindsight | ||
| holographic | ||
| honcho | ||
| mem0 | ||
| openviking | ||
| retaindb | ||
| supermemory | ||
| __init__.py | ||
| query_rewrite.py | ||