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18 个仓库

Awesome GitHub RepositoriesSchema-Based Response Validation

Verifying that received API responses adhere to the structures defined in a remote specification.

Distinct from Client-Side Input Validators: Focuses on validating incoming API data against a schema rather than validating user input fields before submission.

Explore 18 awesome GitHub repositories matching web development · Schema-Based Response Validation. Refine with filters or upvote what's useful.

Awesome Schema-Based Response Validation GitHub Repositories

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  • sindresorhus/kysindresorhus 的头像

    sindresorhus/ky

    16,943在 GitHub 上查看↗

    🌳 Tiny & elegant JavaScript HTTP client based on the Fetch API

    Validates JSON response bodies against Standard Schema libraries like Zod, throwing an error on mismatch.

    TypeScriptfetchhttp-clienthttp-request
    在 GitHub 上查看↗16,943
  • spring-projects/spring-aispring-projects 的头像

    spring-projects/spring-ai

    9,001在 GitHub 上查看↗

    Spring AI is an application framework for Java that provides a portable, fluent API for integrating AI models, tools, and vector stores into applications. It wraps multiple AI providers behind a common interface, allowing developers to switch between chat, embedding, image, and speech models without changing application code. The framework includes a chainable chat client API similar to WebClient or RestClient, supports both synchronous and streaming interactions, and offers structured output conversion that transforms unstructured AI responses into strongly-typed Java objects. The framework

    Converts AI model responses directly into Plain Old Java Objects for type-safe downstream processing.

    Javaartificial-intelligencejavaspring-ai
    在 GitHub 上查看↗9,001
  • openapi-ts/openapi-typescriptopenapi-ts 的头像

    openapi-ts/openapi-typescript

    8,180在 GitHub 上查看↗

    openapi-typescript is an OpenAPI TypeScript type generator and schema transformer. It converts JSON or YAML OpenAPI specification files into static TypeScript type definitions to provide end-to-end API type safety. The tool functions as a static type generator that transforms external API definitions into interfaces and types. It focuses on zero-runtime type enforcement, ensuring that data consistency is maintained via the TypeScript type system without adding overhead to production bundles. The project covers API type safety and schema conversion, facilitating the validation of request bodi

    Verifies that API responses and mock data adhere to the structures defined in the OpenAPI document.

    TypeScriptopenapiopenapi3openapi3-1
    在 GitHub 上查看↗8,180
  • alibaba/higressalibaba 的头像

    alibaba/higress

    7,558在 GitHub 上查看↗

    Higress is an AI API gateway and cloud-native traffic manager that functions as a Kubernetes ingress controller. It provides a centralized system for routing, securing, and optimizing traffic directed toward large language models, AI agents, and microservice architectures. The project distinguishes itself through deep AI orchestration, including the ability to host and manage Model Context Protocol servers that transform REST APIs into tools for AI agents. It features specialized AI infrastructure for model request proxying, protocol translation across multiple providers, and semantic-based c

    Formats non-streaming AI outputs into valid JSON and validates them against defined schemas.

    Goai-gatewayai-nativeapi-gateway
    在 GitHub 上查看↗7,558
  • thesysdev/openuithesysdev 的头像

    thesysdev/openui

    7,446在 GitHub 上查看↗

    OpenUI 是一个生成式 UI 开发框架,利用大语言模型将自然语言描述转换为结构化的交互式用户界面组件。它实现了将文本实时转换为功能性原型(如图表、表格、表单和卡片)的功能。 该项目的独特之处在于一个模式驱动的编排系统,它使用类型化的 UI 原语和 JSON 模式来约束模型输出,确保生成的界面符合特定的组件库。它具有流式解析器,允许渐进式组件渲染,在 Token 到达时增量显示界面元素,而不是等待完整响应。 该系统涵盖了广泛的能力,包括通过 OpenAI 兼容适配器的 AI 响应流、对话线程的聊天状态管理以及系统提示词的自动生成。它还包括用于将结构化组件树转换为静态 HTML 以进行邮件导出的工具,以及用于项目脚手架的命令行界面。 提供了一个嵌入式 UI 渲染器,用于在没有传统构建流水线的环境中显示界面。

    Constrains AI model output to a predefined set of components and typed contracts to ensure valid rendering.

    TypeScript
    在 GitHub 上查看↗7,446
  • tailcallhq/forgecodetailcallhq 的头像

    tailcallhq/forgecode

    7,430在 GitHub 上查看↗

    Forgecode is an AI agent orchestrator, shell integration tool, and terminal-based pair programmer. It enables the deployment of specialized AI roles for research, planning, and implementation, while providing a semantic code search tool to index project files for meaning-based retrieval. The system integrates as a Model Context Protocol client to extend AI capabilities via external servers and supports multi-provider model orchestration to switch between different large language model APIs. It transforms natural language into functional shell commands and allows for the execution of AI prompt

    Measures model accuracy by comparing AI-generated command outputs against expected patterns using regular expressions.

    Rust
    在 GitHub 上查看↗7,430
  • rest-assured/rest-assuredrest-assured 的头像

    rest-assured/rest-assured

    7,127在 GitHub 上查看↗

    Rest-assured is a Java-based REST API testing framework and HTTP client library designed for automating web service tests. It provides a fluent domain-specific language and assertion library to send HTTP requests and validate response metadata, including status codes, headers, cookies, and bodies. The framework is distinguished by a method-chaining DSL that creates readable specifications for API interactions. It features a filter-based request interception pipeline, object-mapping serialization for converting Java objects to JSON or XML, and a path-based parsing system to isolate specific fi

    Verifies that API response bodies adhere to predefined JSON or XML structural schemas.

    Java
    在 GitHub 上查看↗7,127
  • guardrails-ai/guardrailsguardrails-ai 的头像

    guardrails-ai/guardrails

    7,033在 GitHub 上查看↗

    Guardrails is a Python SDK that wraps calls to large language models with configurable validation pipelines, corrective actions, and structured output generation. It provides a unified API layer that connects to over 100 language models, applying consistent validation, streaming, and error-handling across providers. The framework validates and corrects model responses against safety and quality rules, detecting and mitigating risks in both inputs and outputs using pre-built and custom validators. The project distinguishes itself through a validator-pipeline architecture that sequentially appl

    Applies structural, type, and quality checks to model responses, enforcing rules like competitor or toxicity filters.

    Pythonaifoundation-modelgpt-3
    在 GitHub 上查看↗7,033
  • orval-labs/orvalorval-labs 的头像

    orval-labs/orval

    6,145在 GitHub 上查看↗

    Orval is an OpenAPI-to-TypeScript code generator that produces fully typed API clients, data-fetching hooks, mock data, validation schemas, and server handlers from OpenAPI or Swagger specifications. It reads any YAML or JSON API specification and generates TypeScript interfaces, HTTP request functions, and framework-specific integration code that ensures compile-time correctness for all API calls. The project distinguishes itself by generating production-ready data-fetching hooks for React Query, Vue Query, Svelte Query, Solid Query, Angular, and SWR, complete with automatic cache invalidati

    Validates API responses against generated Zod schemas at runtime to catch data mismatches.

    TypeScript
    在 GitHub 上查看↗6,145
  • partykit/partykitpartykit 的头像

    partykit/partykit

    5,644在 GitHub 上查看↗

    PartyKit is a serverless WebSocket backend platform for building real-time multiplayer applications. It provides a globally distributed edge computing runtime that runs stateful server code close to users, with automatic scaling and hibernation for idle rooms. The platform handles WebSocket connections, HTTP requests, and durable storage without requiring infrastructure management, and includes a client and server SDK with hooks, storage, and Yjs integration for building collaborative features. The platform distinguishes itself through per-room isolation using Durable Objects, where each uniq

    Uses the same schema on the client side to verify that server responses conform to the expected format.

    TypeScriptbackendscollaborationcrdts
    在 GitHub 上查看↗5,644
  • theokanning/openai-javaTheoKanning 的头像

    TheoKanning/openai-java

    4,740在 GitHub 上查看↗

    openai-java 是一个 Java 客户端库和软件开发工具包(SDK),旨在将 OpenAI 服务集成到 Java 应用中。它作为大语言模型端点的编程包装器,支持实现生成式 AI 功能,如聊天补全、文本嵌入和 AI 代理编排。 该库支持广泛的多模态任务,包括图像生成与编辑,以及音频转录与翻译。它提供用于模型训练和微调的专用工具,允许用户上传数据集以提高模型在特定领域的性能。此外,它还包括用于自定义函数执行和内容审核的功能,以根据安全准则过滤输入和输出。 该 SDK 利用构建者模式进行请求构建,并将 API 资源映射到强类型的 Java 类。它支持同步请求-响应周期,以及通过服务器发送事件(SSE)进行增量数据交付,以实现实时响应流。

    Maps API responses directly into strongly typed Java objects for compile-time type safety.

    Java
    在 GitHub 上查看↗4,740
  • wp-api/wp-apiWP-API 的头像

    WP-API/WP-API

    3,927在 GitHub 上查看↗

    WordPress REST API 是一个 Web 接口和基于 JSON 的内容 API,允许使用标准 HTTP 方法检索和修改站点内容、用户和元数据。它作为无头 CMS 接口,通过可编程的 RESTful 控制器暴露站点数据,从而将内容管理与前端解耦。 该系统以其超媒体驱动的发现和基于 JSON-schema 的验证而著称,允许客户端以编程方式定位资源并确保数据交换的可预测性。它利用基于命名空间的端点注册来组织路由,并支持灵活的身份验证层,包括应用程序密码、会话 Cookie 和第三方身份标准。 该 API 涵盖了广泛的资源管理功能,包括处理文章、页面、媒体和基于块的内容。它为响应管理提供了全面的工具,例如资源嵌入、分页和字段过滤,以及用于管理内容修订和站点管理的工具。 支持特定语言的 SDK,将网络请求抽象为高级编程接口。

    Specifies data format, field types, and descriptions for responses to ensure clients understand the structure.

    PHP
    在 GitHub 上查看↗3,927
  • sindresorhus/owsindresorhus 的头像

    sindresorhus/ow

    3,868在 GitHub 上查看↗

    ow is a type-safe schema validation library for TypeScript that verifies data integrity at runtime. It functions as a runtime validation framework and type guard utility, ensuring that JavaScript values match expected types and schemas before they are processed. The library synchronizes runtime data checks with static TypeScript type definitions, allowing users to extract type definitions directly from validation predicates. This integration enables type narrowing, where a successful validation result refines the variable type for safer usage in the code. The framework uses a chainable API t

    Enables the definition of reusable validation rules with custom labels to maintain consistency across projects.

    TypeScriptjavascriptnodejsnpm-package
    在 GitHub 上查看↗3,868
  • ucbepic/docetlucbepic 的头像

    ucbepic/docetl

    3,597在 GitHub 上查看↗

    docetl is an AI-powered document ETL tool and map-reduce orchestrator designed to transform large collections of unstructured documents into structured, queryable tables using language models. It provides a declarative pipeline framework for extracting, cleaning, and transforming data from sources such as PDFs and text files into predefined schemas. The project distinguishes itself through a semantic data integration suite that enables joining datasets and resolving duplicate entities based on embedding-based similarity. It includes an interactive prompt playground for developing and optimizi

    Implements deterministic checks and refinement loops to correct errors and ensure LLM outputs comply with defined schemas.

    Pythonagentsdatadata-pipelines
    在 GitHub 上查看↗3,597
  • falkordb/falkordbFalkorDB 的头像

    FalkorDB/FalkorDB

    3,437在 GitHub 上查看↗

    FalkorDB is a high-performance graph database management system and vector graph database. It serves as a knowledge graph construction tool and a GraphRAG knowledge store, integrating structured property graphs with vector search to provide grounded context for large language models. The engine is designed as a multi-tenant graph engine, capable of hosting thousands of isolated datasets within a single instance. The system distinguishes itself by using linear algebra for query execution, treating relationship tensors as matrix multiplications to achieve low-latency multi-hop traversals. It ut

    Cross-references generated text against structured graph data to detect and correct factual inconsistencies.

    Ccloud-databasedatabasedatabase-as-a-service
    在 GitHub 上查看↗3,437
  • protectai/llm-guardprotectai 的头像

    protectai/llm-guard

    2,561在 GitHub 上查看↗

    LLM Guard is a security firewall and guardrail framework designed to scan and sanitize inputs and outputs for large language models. It functions as a proxy gateway and security layer to block prompt injections, toxicity, and sensitive data leakage while ensuring that model interactions remain compliant with organizational policies. The system distinguishes itself through a modular scanner pipeline that utilizes local model orchestration to eliminate external network dependencies. It supports real-time security filtering via streaming chunk analysis and implements a fail-fast execution model

    Screens AI-generated content for bias, hallucinations, and malicious URLs to ensure safety and consistency.

    Pythonadversarial-machine-learningchatgptlarge-language-models
    在 GitHub 上查看↗2,561
  • dry-rb/dry-validationdry-rb 的头像

    dry-rb/dry-validation

    1,422在 GitHub 上查看↗

    Dry-validation is a Ruby library designed for defining type-safe schemas and complex validation rules to verify and sanitize input data structures. It provides a formal framework for constructing modular validation logic, ensuring that incoming information meets specific business requirements and data formats before it is processed by an application. The library utilizes a domain-specific language to declare validation rules, which are then parsed into executable objects. It distinguishes itself through a macro-driven system that bundles common validation logic into reusable shortcuts, alongs

    Provides shared validation shortcuts that bundle common rules together for consistent application across the codebase.

    Rubycoerciondata-validationdry-rb
    在 GitHub 上查看↗1,422
  • astahmer/openapi-zod-clientastahmer 的头像

    astahmer/openapi-zod-client

    1,172在 GitHub 上查看↗

    该项目是一个命令行工具,可自动从 OpenAPI 规范直接创建类型安全的 TypeScript HTTP 客户端。通过将服务定义转换为结构化源代码,它确保了端到端的类型同步,并在网络边界强制执行运行时数据完整性。 该生成器通过将 OpenAPI 数据结构映射到 Zod 验证模式脱颖而出,允许一致的模式驱动类型映射和响应验证。它支持去重源代码合成以最小化生成输出中的冗余,并提供模板自定义选项,使用户能够通过定义的渲染规则修改生成代码的结构和格式。 该工具处理客户端创建的整个生命周期,从将异构 API 规范解析为统一的内部模型,到渲染可执行的请求处理程序。它旨在通过生成维护服务间严格数据契约的即用型模块来集成到开发工作流中。

    Validates API response bodies against generated Zod schemas at runtime to catch data shape mismatches.

    TypeScriptapiaxioscli
    在 GitHub 上查看↗1,172
  1. Home
  2. Web Development
  3. Client-Side Input Validators
  4. Schema-Based Response Validation

探索子标签

  • AI Output Validation7 个子标签Validation of AI-generated content against structured schemas to ensure valid JSON responses. **Distinct from Schema-Based Response Validation:** Specifically targets the validation of non-streaming AI model outputs rather than general API responses
  • Response Schema DefinitionsFormal specifications of the data format and field types returned by an API. **Distinct from Schema-Based Response Validation:** Focuses on the definition of the output schema rather than the runtime validation of a response body.
  • Standard Schema Response Validators1 个子标签Validation of JSON response bodies against Standard Schema libraries like Zod, throwing an error on mismatch. **Distinct from Schema-Based Response Validation:** Distinct from Schema-Based Response Validation: specifically uses Standard Schema libraries (e.g., Zod) for validation, not arbitrary schemas.