131 PromptSource | Toolkit for creating, sharing, and using natural language prompts. | LLM Prompts | https://github.com/bigscience-workshop/promptsource |
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132 DSPy | Open-source framework for programming—rather than prompting—language models. | LLM Prompts | https://github.com/stanfordnlp/dspy |
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133 Py-priompt | Prompt design library. | LLM Prompts | https://github.com/anysphere/priompt |
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134 Promptimizer | Prompt optimization library. | LLM Prompts | https://github.com/promptimizer/promptimizer |
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135 Instructor | Python library for working with structured outputs from large language models (LLMs). Built on top of Pydantic, it provides a simple, transparent, and user-friendly API. | LLM Structured Outputs | https://github.com/instructor-ai/instructor |
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136 XGrammar | An open-source library for efficient, flexible, and portable structured generation. | LLM Structured Outputs | https://github.com/mlc-ai/xgrammar |
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137 Outlines | Robust (structured) text generation. | LLM Structured Outputs | https://github.com/dottxt-ai/outlines |
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138 Guidance | Guidance is an efficient programming paradigm for steering language models. | LLM Structured Outputs | https://github.com/guidance-ai/guidance |
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139 LMQL | A language for constraint-guided and efficient LLM programming. | LLM Structured Outputs | https://github.com/eth-sri/lmql |
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140 Jsonformer | A bulletproof way to generate structured JSON from language models. | LLM Structured Outputs | https://github.com/1rgs/jsonformer |
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