npm
vercel/ai
The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents
Власна ліцензія5 серп. 2026 р. · метрики 2.10.0
Усі теги
Тег каталогу
#structured-output
Усі репозиторії публічного реєстру з цим тегом — із тем GitHub або ключових слів, які публікують їхні реєстри пакетів. Здоров'я вимірюється за тією ж версіонованою методологією, що й решта реєстру.
21 запис
PyPI
mangiucugna/json_repair
Repair malformed JSON from LLMs, APIs, logs, and user input in Python.
MIT28 серп. 2026 р. · метрики 2.10.0
npm
Dave-London/Pare
Dev tools, optimized for agents. Structured, token-efficient MCP servers for git, test runners, npm, Docker, and more.
MIT17 лип. 2026 р. · метрики 2.10.0
Packagist · PyPI
cognesy/instructor-php
Unified LLM API, structured data outputs with LLMs, and agent SDK - in PHP
MIT20 лип. 2026 р. · метрики 2.10.0
Go · PyPI
JoakimCarlsson/ai
A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.
MIT5 вер. 2026 р. · метрики 2.10.0
npm
pascalorg/lingo
Make forms easier, LLM tools safer. Natural-language quantities, units, dates & ranges parsed into canonical values — zero dependencies, two-way.
MIT29 лип. 2026 р. · метрики 2.10.0
npm
baabakk/llm-ports
TypeScript LLM Abstraction Layer for Multi-Provider AI Systems. Multi-provider routing, fallback chains, USD cost gating, capability factories, tool-use security.
MIT31 лип. 2026 р. · метрики 2.10.0
npm
bytesbrains/weblocks
Block engine for AI-composable web apps — snap-together 'Lego' blocks + the AI catalog contract (manifest → validate → render static HTML).
MIT7 серп. 2026 р. · метрики 2.10.0
npm
axl-sdk/axl
TypeScript SDK for orchestrating Agentic Systems — concurrency, structured output, cost control, and consensus as first-class primitives.
Apache-2.027 лип. 2026 р. · метрики 2.10.0
npm
gemstack-land/the-framework
Autonomous AI programming. Stop babysitting your coding agents. You make the important decisions; AI does the rest.
MIT30 лип. 2026 р. · метрики 2.10.0
RubyGems
justi/ruby_llm-contract
Validate and retry LLM outputs for ruby_llm. Describe the JSON response you expect, fall back to a stronger model when the cheaper one fails the rules, and gate CI on regressions — all as one contract object per step.
MIT22 серп. 2026 р. · метрики 2.10.0
Go · npm
manishiitg/mcpagent
Go agent runtime for tool-using, code-executing, multi-provider agents with MCP support, coding-agent CLI integrations, structured output, summarization, and parallel tool execution.
Без ліцензії17 лип. 2026 р. · метрики 2.10.0
Go
maxrodrigo/clai
AI for the Command Line
MIT15 лип. 2026 р. · метрики 2.10.0
Go · PyPI
masterkeysrd/loom
Loom is a high-performance, graph-based AI workflow engine for Go. It allows you to build complex agentic systems by defining multi-step workflows as directed graphs, seamlessly connecting them to any large language model, and persisting execution state for long-running or interrupted tasks.
Без ліцензії28 лип. 2026 р. · метрики 2.10.0
npm
mpointer/llm-governance-gateway
The governance layer LLM proxies promised as a TypeScript library you can read. Every call runs through one governed pipeline: rate limit → spend caps (per-user + global circuit breaker) → cache → schema-validated provider failover → usage log → LLM-judge No sidecar proxy to deploy.
MIT25 серп. 2026 р. · метрики 2.10.0
PyPI
Boundless-Studios/agentrunner
Host-agnostic LLM agent execution on the OpenAI Agents SDK: model fallback, streaming, structured-output extraction, self-correction, and tracing — behind a small injected provider seam.
MIT1 серп. 2026 р. · метрики 2.10.0
crates.io
Inferact/xgrammar-structural-tag
Rust builders for xgrammar structural_tag tool-calling constraints
Apache-2.020 лип. 2026 р. · метрики 2.10.0
PyPI
nerigleston/jangada
Опис репозиторію не опубліковано.
MIT19 лип. 2026 р. · метрики 2.10.0
npm · PyPI
eth-interchained/sentinel-blocks
Robust extraction of structured payloads from LLM output via sentinel blocks (<<<TAG>>> … <<<END>>>). Survives quotes, newlines & braces that break JSON.parse. 10 language ports, one spec.
GPL-3.018 лип. 2026 р. · метрики 2.10.0
Go
ronhuafeng/llmcaller-codex-go
Archived: use github.com/ronhuafeng/llm-go/llmcaller/codex; legacy v0.4.2 is immutable
MIT5 вер. 2026 р. · метрики 2.10.0
Go
ronhuafeng/llmkit-go
Archived: use github.com/ronhuafeng/llm-go/llmkit; legacy v0.5.0 is immutable
MIT22 серп. 2026 р. · метрики 2.10.0