What is llm-interface?

48/100
Trust Score (D)
⚠️ Use Caution

llm-interface is a npm that A simple, unified NPM-based interface for interacting with multiple Large Language Model (LLM) APIs, including OpenAI, AI21 Studio, Anthropic, Cloudflare AI, Cohere, Fireworks AI, Google Gemini, Goose. It has a Nerq Trust Score of 48/100 (D). 0 GitHub stars. Published by samestrin. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

48
TRUST SCORE
D
GRADE
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STARS
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DOWNLOADS

What llm-interface Does

llm-interface is a npm in the npm category. A simple, unified NPM-based interface for interacting with multiple Large Language Model (LLM) APIs, including OpenAI, AI21 Studio, Anthropic, Cloudflare AI, Cohere, Fireworks AI, Google Gemini, Goose AI, Groq, Hugging Face, Mistral AI, Perplexity, Reka A. It is published by samestrin 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-interface

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

Details

Authorsamestrin
Categorynpm
LicenseNot specified
Typenpm
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-interface

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

Frequently Asked Questions

What is llm-interface used for?
llm-interface is a npm tool. A simple, unified NPM-based interface for interacting with multiple Large Language Model (LLM) APIs, including OpenAI, AI21 Studio, Anthropic, Cloudflare AI, Cohere, Fireworks AI, Google Gemini, Goose.
Is llm-interface free?
License: Check project page. llm-interface has 0 GitHub stars.
Is llm-interface safe?
llm-interface has a Nerq Trust Score of 48/100 (D). Evaluate carefully.
What are alternatives to llm-interface?
Top alternatives: . See full comparison.

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

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