samir12321/negoptim-promotion-predictor
Add local provider support (Qwen3-8B via Ollama relay) alongside Groq/OpenRouter
Last-resort cross-over: selected provider exclusively, other provider only if fully exhausted
Provider isolation: fall back only within the selected model's provider
Remove non-tool hermes-405b; friendly 'all busy' message instead of raw 502
Ranking honesty: exclude null amounts, never call null the highest, stay consistent across follow-ups
Order models efficient-first (token-heavy giants last)
Curate model chain to capable non-reasoning models; disable reasoning tokens on OpenRouter
Trim query-step tokens: router K=3, drop object index on retries
Minimal prompt on summarize step + field-comparison guidance to cut token churn
Leaner prompt (deterministic rules moved to code); default 70b; cumulative usage; smarter errors
Replace promotion-predictor with NegOptim AI chatbot service
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