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Hybrid Intent Router

An explainable intent router that cascades regex, TF-IDF with CatBoost, System One decision models (Laya, Jev, CLM) and a generative LLM fallback, answering from the cheapest engine able to decide and leaving a replayable decision record. Runs fully local.
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Language
Python
License
MIT
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2 min
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Author
indranildchandra
Last verified
Oct 2026

indranildchandra/hybrid-intent-router

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Explainable intent routing: a four-tier cascade of regex, TF-IDF/CatBoost, System One decision models (Jev, Laya, CLM) and an LLM fallback, with calibrated probabilities and a replayable decision record at every exit. Runs locally on Ollama, GPU or CPU.

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Updated Oct 2026

Repo stats from the GitHub API, cached Oct 2026.

Tagscommunitygithubpythonroutingollama
Works forJev for RoutingJev for ClassificationJev for Decision gating
Used inJev for Software & DevTools
Languages
Python
Capabilities
Open sourceRuns locally

Highlights

  • Four-tier cascade: regex and tries, TF-IDF with CatBoost, System One models (Laya, Jev, CLM), then a generative LLM fallback for hard requests.
  • System One tiers return calibrated probabilities, and every exit leaves a decision record you can replay months later.
  • Runs fully local on Ollama with no API keys, on CUDA, Apple Silicon or CPU, with Python 3.10 to 3.13 supported.
  • README includes a walkthrough, gotchas, a runbook, a from-demo-to-production section, testing notes and an FAQ; MIT licensed.

Watch out

README reviewed 2026-10-17 from the round-eleven capture, which is truncated at the start of the Overview: quickstart commands, configuration keys, the decision-record format and any routing-accuracy numbers are not in the digest.

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