Deterministic LLM router with a cryptographic audit trail – TEIA
TEIA Cognitive Router TEIA Cognitive Router is a deterministic, rule-based LLM router: it assigns each prompt to a Local, Hybrid, or Cloud model tier using a fixed arithmetic formula, and seals every decision with a SHA-256 audit record that can be re-verified offline. ML-based LLM routers change behavior when their weights are retrained, so the same prompt can route differently next month and past decisions cannot be reproduced. Organizations operating under EU AI Act, GDPR, HIPAA, or SEC/FINRA requirements need to prove, after the fact and independently, why a given request went to a given model.
- ▪TEIA Cognitive Router TEIA Cognitive Router is a deterministic, rule-based LLM router: it assigns each prompt to a Local, Hybrid, or Cloud model tier using a fixed arithmetic formula, and seals every decision with a SHA-256 audit record tha
- ▪ML-based LLM routers change behavior when their weights are retrained, so the same prompt can route differently next month and past decisions cannot be reproduced.
- ▪Organizations operating under EU AI Act, GDPR, HIPAA, or SEC/FINRA requirements need to prove, after the fact and independently, why a given request went to a given model.
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Story provenance
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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/felippebarcelos/teia-omega-awakening |
| Publication time | Mon, 20 Jul 2026 13:55:59 +0000 |
| Retrieval time | 2026-07-20T15:26:58.955Z |
| Last seen | 2026-07-20T15:26:58.955Z |
| 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 | H_ui-5pIcVWh |
| 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
TEIA Cognitive Router TEIA Cognitive Router is a deterministic, rule-based LLM router: it assigns each prompt to a Local, Hybrid, or Cloud model tier using a fixed arithmetic formula, and seals every decision with a SHA-256 audit record that can be re-verified offline. ML-based LLM routers change behavior when their weights are retrained, so the same prompt can route differently next month and past decisions cannot be reproduced. Organizations operating under EU AI Act, GDPR, HIPAA, or SEC/FINRA requirements need to prove, after the fact and independently, why a given request went to a given model.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.