543d305bbb
MoA per-turn latency is dominated by advisor GENERATION: turn wall time correlates ~0.88 with output tokens and ~-0.03 with input tokens (measured over 52 turns). Each turn waits for the slowest advisor to finish writing, and advisors were uncapped — writing multi-thousand-token essays the aggregator only needs the gist of. Add an opt-in per-preset reference_max_tokens knob (mirrors reference_temperature) that caps ADVISOR output only; the acting aggregator is never capped. Default None = uncapped, so existing presets are byte-for-byte unchanged (no regression). Wired through both MoA execution paths (MoAChatCompletions.create and aggregate_moa_context). E2E: same task, closed preset uncapped vs reference_max_tokens=600 -> 59s to 33s (~44% faster), final answer identical/correct. - hermes_cli/moa_config.py: _coerce_int_or_none helper + reference_max_tokens in _normalize_preset/_default_preset/flattened view - agent/moa_loop.py: read preset.reference_max_tokens, pass to reference fan-out - agent/conversation_loop.py: pass reference_max_tokens on the per-turn path - tests + docs |
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| developer-guide | ||
| getting-started | ||
| guides | ||
| integrations | ||
| reference | ||
| user-guide | ||
| index.mdx | ||
| user-stories.mdx | ||