by explosion · Agent Tool · ★ 1.4k
spacy-llm Structured NLP with LLMs This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various NLP tasks, no training data required. Feature Highlight Serializable component to integrate prompts into your spaCy pipeline Modular functions to define the task (prompting and parsing) and model Interfaces with the APIs of [OpenAI](https://platform.openai.com/docs/api-re
| Stars | 1,377 |
| Forks | 106 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62.2859717186576/100 |
| Open Issues | 47 |
| Last Updated | 2026-03-27 |
| Created | 2023-03-16 |
| Platforms | claude-code, python |
| Est. Tokens | ~123k |
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spacy-llm is 🦙 Integrating LLMs into structured NLP pipelines. It is categorized as a Agent Tool with 1.4k GitHub stars.
spacy-llm is primarily written in Python. It covers topics such as anthropic, claude, cohere.
You can find installation instructions and usage details in the spacy-llm GitHub repository at github.com/explosion/spacy-llm. The project has 1.4k stars and 106 forks, indicating an active community.
spacy-llm is released under the MIT license, making it free to use and modify according to the license terms.