by dexaai · LLM Plugin · ★ 107
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Dexter Dexter is a powerful TypeScript library for working with Large Language Models (LLMs), with a focus on real-world Retrieval-Augmented Generation (RAG) applications. It provides a set of tools and utilities to interact with various AI models, manage caching, handle embeddings, and implement AI functions. Features Comprehensive Model Support: Implementations for Chat, Completion, Embedding, and Sparse Vector models, with efficient OpenAI API integration via . Advanced AI Function Utilities: Tools for creating and managing AI functions, including , , and , with Zod integration for schema validation. Structured Data Extraction: Dexter supports OpenAI's structured output feature through the , which uses the r
| Stars | 107 |
| Forks | 10 |
| Language | TypeScript |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 70.1540787705252/100 |
| Open Issues | 8 |
| Last Updated | 2025-01-07 |
| Created | 2023-08-09 |
| Platforms | node |
| Est. Tokens | ~71k |
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dexter is LLM tools used in production at Dexa. It is categorized as a LLM Plugin with 107 GitHub stars.
dexter is primarily written in TypeScript. It covers topics such as llms, openai, rag.
You can find installation instructions and usage details in the dexter GitHub repository at github.com/dexaai/dexter. The project has 107 stars and 10 forks, indicating an active community.
dexter is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to dexter on Agent Skills Hub include argo, weam, lilypad. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.