lmql

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    "name": "lmql",
    "description": "LMQL is a programming language specifically designed for large language models (LLMs), aimed at enhancing development efficiency through constraint-guided generation. It allows developers to define constraints on model outputs, thereby automatically meeting specific requirements during the generation process, reducing the need for post-processing.",
    "url": "https://agentsignals.ai/agents/lmql",
    "applicationCategory": "开发工具",
    "operatingSystem": "GitHub",
    "sameAs": "https://github.com/eth-sri/lmql",
    "installUrl": "https://github.com/eth-sri/lmql",
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    "featureList": [
      "Constraint-guided programming model",
      "Efficient model invocation and response handling",
      "Easy integration with existing LLM frameworks"
    ],
    "datePublished": "2025-12-05T17:02:02.595198+00:00",
    "dateModified": "2025-12-19T05:10:15.67065+00:00",
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    "mainEntity": [
      {
        "@type": "Question",
        "name": "What is lmql?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "A language for constrained guidance and efficient LLM programming."
        }
      },
      {
        "@type": "Question",
        "name": "What features does lmql offer?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Constraint-guided programming model, Efficient model invocation and response handling, Easy integration with existing LLM frameworks"
        }
      },
      {
        "@type": "Question",
        "name": "What are the use cases for lmql?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "Natural Language Processing tasks, Text generation and editing, Dialogue system development"
        }
      },
      {
        "@type": "Question",
        "name": "What are the advantages of lmql?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "提高开发效率, 简化模型调用, 支持复杂的约束条件"
        }
      },
      {
        "@type": "Question",
        "name": "What are the limitations of lmql?",
        "acceptedAnswer": {
          "@type": "Answer",
          "text": "学习曲线可能较陡, 对于不熟悉编程的用户可能不够友好"
        }
      }
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