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
Licencia propia5 ago 2026 · métricas 2.10.0
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#structured-output
Todos los repositorios del registro público que llevan esta etiqueta, procedente de sus topics de GitHub o de las palabras clave que publican sus registros de paquetes. La salud se mide con la misma metodología versionada que el resto del registro.
21 registros
PyPI
mangiucugna/json_repair
Repair malformed JSON from LLMs, APIs, logs, and user input in Python.
MIT28 ago 2026 · métricas 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 jul 2026 · métricas 2.10.0
Packagist · PyPI
cognesy/instructor-php
Unified LLM API, structured data outputs with LLMs, and agent SDK - in PHP
MIT20 jul 2026 · métricas 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 sept 2026 · métricas 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 jul 2026 · métricas 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 jul 2026 · métricas 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 ago 2026 · métricas 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 jul 2026 · métricas 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 jul 2026 · métricas 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 ago 2026 · métricas 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.
Sin licencia17 jul 2026 · métricas 2.10.0
Go
maxrodrigo/clai
AI for the Command Line
MIT15 jul 2026 · métricas 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.
Sin licencia28 jul 2026 · métricas 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 ago 2026 · métricas 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 ago 2026 · métricas 2.10.0
crates.io
Inferact/xgrammar-structural-tag
Rust builders for xgrammar structural_tag tool-calling constraints
Apache-2.020 jul 2026 · métricas 2.10.0
PyPI
nerigleston/jangada
El repositorio no publica descripción.
MIT19 jul 2026 · métricas 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 jul 2026 · métricas 2.10.0
Go
ronhuafeng/llmcaller-codex-go
Archived: use github.com/ronhuafeng/llm-go/llmcaller/codex; legacy v0.4.2 is immutable
MIT5 sept 2026 · métricas 2.10.0
Go
ronhuafeng/llmkit-go
Archived: use github.com/ronhuafeng/llm-go/llmkit; legacy v0.5.0 is immutable
MIT22 ago 2026 · métricas 2.10.0