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Eek it's a tiny rust LLM proxy in ~1k loc

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Eek it's a tiny rust LLM proxy in ~1k loc
TL;DR · WeSearch summary

Tiny, like a mouse, key-brokering proxy for LLM providers I wrote this while looking for a lightweight version of litellm, and after much frustration at all of the npm projects with huge blankets (quilts, even) of dependencies. Eek! isn't the most comprehensive solution, but it will get you quick access to open models without the need to worry about auditing thousands and thousands of lines of code. Eek! is configurable using TOML/ENV and limited to chat/completions, messages, and responses with upstream requests over TLS.

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Hacker News (AI / LLM) files mainly under ai. We currently carry 3,373 of its stories.

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GitHub
Read full at GitHub →

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Source · retrieval · rights · ranking — open for full record
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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 publisherGitHub
Canonical URLhttps://github.com/Liana64/eek
Publication timeMon, 03 Aug 2026 14:20:58 +0000
Retrieval time2026-08-03T14:25:42.951Z
Last seen2026-08-03T14:25:42.951Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterCLsUcY7xHxHv · 1 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

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

Tiny, like a mouse, key-brokering proxy for LLM providers I wrote this while looking for a lightweight version of litellm, and after much frustration at all of the npm projects with huge blankets (quilts, even) of dependencies. Eek! isn't the most comprehensive solution, but it will get you quick access to open models without the need to worry about auditing thousands and thousands of lines of code. Eek! is configurable using TOML/ENV and limited to chat/completions, messages, and responses with upstream requests over TLS. Inbound requests to the proxy are cleartext, so deploy on kubernetes with TLS-terminating ingress! There are no retries, rate limits, budgets, load balancing, or metrics. Bodies cap at 32MB, connections at 4096, and stalled upstream connections die on idle timeout.

Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.

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