by yamanahlawat · LLM 插件 · ★ 17
LLM Registry []() []() []() []() A Python package for managing LLM model capabilities across multiple providers. Track pricing, features, and limitations in one place. Why LLM Registry? Working with multiple LLM providers means juggling different pricing models, feature sets, and API parameters. LLM Registry solves this by providing a single source of truth for model metadata. Check a model's capabilities before making API calls, compare costs across providers, and maintain your own custom model configurations alongside the built-in registry.
| Stars | 17 |
| Forks | 3 |
| Language | Python |
| Category | LLM 插件 |
| License | MIT |
| Quality Score | 40.8/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-09 |
| Created | 2025-03-02 |
| Platforms | python |
| Est. Tokens | ~163k |
These tools work well together with llm-registry for enhanced workflows:
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llm-registry is A centralized registry for discovering and managing LLM model capabilities. Track model features, costs, and limitations across providers like OpenAI, Anthropic and other open source models. Supports . It is categorized as a LLM 插件 with 17 GitHub stars.
llm-registry is primarily written in Python. It covers topics such as anthropic, cost, features.
You can find installation instructions and usage details in the llm-registry GitHub repository at github.com/yamanahlawat/llm-registry. The project has 17 stars and 3 forks, indicating an active community.
llm-registry is released under the MIT license, making it free to use and modify according to the license terms.