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Portkey-AI
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Portkey-AI/models

This repository contains comprehensive pricing and configuration data for LLMs. It powers cost attribution for 200+ enterprises running 400B+ tokens through Portkey AI Gateway every day.

JavaScript ◇ ai MIT
★140STARS
⑂41FORKS
!51ISSUES
🏆#6,276GLOBAL RANK
🔥4DAYS TRENDING
🚀
Maintainer Growth Kit for models

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Star History

Continuous Observations
Interactive star growth chart for Portkey-AI/models
CSV

Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#480

MOST-STARRED JavaScript

Window7 days30 days90 days
Stars gained+7+10+90
Per day111
Forks gained+1+3+10

models gained 10 stars in the last 30 days, about 1 a day, and now has 140. It is about 1 year old and has averaged roughly 140 stars a year. It ranks #480 among JavaScript repositories and #6,276 across all languages on GitHubRepo.

Trending Record

models has maintained a continuous presence across global trending indexes, peaking at #4243. Below is the 30-day activity profile:

💡 Overview

models is an open-source project written in JavaScript: This repository contains comprehensive pricing and configuration data for LLMs. It powers cost attribution for 200+ enterprises running 400B+ tokens through Portkey AI Gateway every day.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai, llms, llms-benchmarking. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in JavaScript for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ npm install models

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Node.js >= 18 or modern Evergreen browser

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

models coordinates its core functionality through a modular JavaScript pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with models.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install models using your package manager: `npm install models`

2

Initialize your project workspace or configuration file for models.

3

Import models into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `models --help` to verify successful setup.

👍 Strengths

Active community backing with 139 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in JavaScript for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with JavaScript and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

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👥 Who Should Use This

Developers and engineering teams building with JavaScript, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

Portkey-AI/models is currently ranked #6,276 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#6,259 Rhythia/Client C# ★ 141 Compare ↗
#6,259 lakeops-org/queryflux Rust ★ 141 Compare ↗
#6,259 go-to-k/cdkd TypeScript ★ 141 Compare ↗
#6,259 shaikhspeare/wanderlog-mcp TypeScript ★ 141 Compare ↗
#6,259 Kentucky-ai/opentakeoff TypeScript ★ 141 Compare ↗
#6,276 Portkey-AI/models This Project JavaScript ★ 140
#6,276 blaine/xmpp4r-simple Ruby ★ 140 Compare ↗
#6,276 jfiorato/growl4rails JavaScript ★ 140 Compare ↗
#6,276 adamgriffiths/ag-auth PHP ★ 140 Compare ↗
#6,276 OpenNumismat/open-numismat Python ★ 140 Compare ↗
#6,276 openedx/paragon JavaScript ★ 140 Compare ↗

Frequently Asked Questions

What does models do? +

This repository contains comprehensive pricing and configuration data for LLMs. It powers cost attribution for 200+ enterprises running 400B+ tokens through Portkey AI Gateway every day.

What language is models written in? +

The primary language is JavaScript. Topics include: ai, llms, llms-benchmarking, models.

Is models actively maintained? +

Yes, the last recorded push was on Sep 28, 2026 with 51 open issues being tracked.

How many stars does models have? +

models has 140 stars and 41 forks on GitHub.

How does models rank among GitHub repositories? +

With 140 stars, Portkey-AI/models is ranked #6,276 globally across all repositories tracked on GitHubRepo and #480 among JavaScript projects.

What license is models distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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