What is llm-connector?

48/100
Trust Score (F)
⚠️ Use Caution

llm-connector is a crates that Next-generation Rust library for LLM protocol abstraction with native multi-modal support. Supports 12+ providers (OpenAI, Anthropic, Google, Aliyun, Zhipu, Ollama, Tencent, Volcengine, LongCat, Moons. It has a Nerq Trust Score of 48/100 (F). 0 GitHub stars. Published by Unknown. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
F
GRADE
0
STARS
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DOWNLOADS

What llm-connector Does

llm-connector is a crates in the crates category. Next-generation Rust library for LLM protocol abstraction with native multi-modal support. Supports 12+ providers (OpenAI, Anthropic, Google, Aliyun, Zhipu, Ollama, Tencent, Volcengine, LongCat, Moonshot, DeepSeek, Xiaomi) with clean Protocol/Provider separation, type-safe interface, and universal streaming.. It is published by Unknown and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use llm-connector

llm-connector is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

AuthorUnknown
Categorycrates
LicenseNot specified
Typecrates
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=llm-connector

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is llm-connector used for?
llm-connector is a crates tool. Next-generation Rust library for LLM protocol abstraction with native multi-modal support. Supports 12+ providers (OpenAI, Anthropic, Google, Aliyun, Zhipu, Ollama, Tencent, Volcengine, LongCat, Moons.
Is llm-connector free?
License: Check project page. llm-connector has 0 GitHub stars.
Is llm-connector safe?
llm-connector has a Nerq Trust Score of 48/100 (F). Evaluate carefully.
What are alternatives to llm-connector?
Top alternatives: . See full comparison.

Last updated October 2026. Trust scores based on automated analysis of public data.

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