Wayfinder Router: deterministic routing of queries between local and hosted LLM
The Wayfinder Router is a deterministic routing system that sends queries to either local or cloud models based on the prompt's structure and wording. It decides in microseconds, runs offline, and never calls another model to make the call, reducing latency, cost, and randomness. The system is designed to be self-hosted and calibrated on the user's own data, allowing for a score and recommendation to be provided for each prompt.
- ▪Wayfinder Router uses a deterministic approach to route queries between local and cloud models.
- ▪The system reads the structure and wording of a prompt to decide where to send it, eliminating the need for model calls and API keys.
- ▪Wayfinder Router can be calibrated on the user's own data and provides a score and recommendation for each prompt.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,266 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/itsthelore/wayfinder-router |
| Publication time | Sun, 28 Jun 2026 04:31:18 +0000 |
| Retrieval time | 2026-06-28T09:26:46.953Z |
| Last seen | 2026-06-28T09:26:46.953Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | oucbackk9BaJ |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Deterministic prompt-complexity routing — send each prompt to your local or cloud model, offline, with no model call to decide. Quickstart · Benchmark · How it compares · Explainer · Changelog No model callto decide the route Deterministicand fully offline Calibrateon your own data Bring your own keyself-hosted Wayfinder looks at a prompt's structure (length, headings, lists, code) and its wording (proofs, math, hard constraints), then tells you whether to send it to your small local model or your big cloud one. It decides in microseconds, runs offline, and never calls another model to make the call: no API key, no network, no model call to decide. You get a score and a recommendation, and what you do with it is up to you.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.