ToTra – open-source LLM gateway with GDPR/EU AI Act compliance
ToTra is an open-source AI gateway designed to enhance the governance of large language models (LLMs). It provides features such as quota enforcement, PII blocking, and compliance with GDPR and the EU AI Act. The platform allows users to integrate existing applications with minimal code changes while ensuring data protection and cost tracking.
- ▪ToTra is written in Go and offers a low overhead of less than 2 ms.
- ▪It includes PII blocking for sensitive data across 18 language groups before it reaches any LLM.
- ▪The platform supports hard budget caps and provides real-time alerts for usage limits.
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
inspect →
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/SugaC-275/ToTra |
| Publication time | Sat, 06 Jun 2026 00:16:10 +0000 |
| Retrieval time | 2026-06-06T00:43:00.622Z |
| Last seen | 2026-06-06T00:43:00.622Z |
| 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 | pcOYbT_J3h-2 |
| 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
🛡️ ToTra AI Gateway & Governance Platform Open-source LLM proxy written in Go. Add quota enforcement, PII blocking, cost tracking, and compliance to any LLM in one line of code. Quick Start · Integration Guide · Features · Architecture · Gateway Docs · Admin API · Discussions What is ToTra ToTra is an open-source AI gateway and governance platform that sits in front of any LLM provider. Point your existing apps at ToTra instead of OpenAI, Anthropic, or any other provider — and instantly get: Quota enforcement — per-user and per-team hard budget caps PII blocking — 18 language groups scanned at the edge before any data leaves your network Cost tracking — per-user, per-team, per-model token and USD spend with chargeback reports Compliance — GDPR workflows, EU AI Act checklist, hash-chained…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.