TUF metadata models
Amplify GraphQL @generation transformer
Amplify GraphQL @conversation transformer
The [OpenRouter](https://openrouter.ai/) provider for the [Vercel AI SDK](https://sdk.vercel.ai/docs) gives access to over 300 large language models on the OpenRouter chat and completion APIs.
Tree-shakeable static models.dev catalog split by provider for TokenLens.
Contains JavaScript & TypeScript object models for Microsoft Power BI JavaScript SDK. For each model there is a TypeScript interface, and a validation function to ensure and object is valid.
A Javascript library for running ONNX models on browsers
Unified LLM API with automatic model discovery and provider configuration
An open-source machine learning framework.
Mintlify models
The **Cerebras provider** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for [Cerebras](https://cerebras.ai), offering high-speed AI model inference powered by Cerebras Wafer-Scale Engines and CS-3 systems.
Attach cloud and local files in Rails applications
OpenAI integrations for LangChain.js
Core LangChain.js abstractions and schemas
Data Science dictionary for cspell. -- Private until verified
The **[Groq provider](https://ai-sdk.dev/providers/ai-sdk-providers/groq)** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for the Groq chat and completion APIs, transcription support, and browser search tool.
MediaPipe Vision Tasks
Common functionalities for bitbucket-cloud plugins
Shared type definitions, data models, and utility helpers (geometry, tasks, logging, PDF primitives) that underpin every package in the EmbedPDF ecosystem.
Types for Kubernetes API objects
Kubernetes models
Matter data model
Anthropic integrations for LangChain.js
Foundation data models for systemprompt.io AI governance infrastructure. Shared DTOs, config, and domain types consumed by every layer of the MCP governance pipeline.
User management for systemprompt.io AI governance infrastructure. 6-tier RBAC, sessions, IP bans, and role-scoped access control for the MCP governance pipeline.
Markdown content management, sources, and event tracking for systemprompt.io AI governance dashboards. Governed publishing pipeline for the MCP governance platform.
File and module discovery infrastructure for systemprompt.io AI governance — manifests, schemas, and extension loading. Separates I/O from shared models in the MCP governance pipeline.
Event bus, SSE broadcasters, and fan-out routing for systemprompt.io AI governance infrastructure. A2A, analytics, and context stream wiring for the MCP governance pipeline.
Cloud API client, credentials, OAuth, and tenant management for systemprompt.io AI governance deployments. Remote sync and multi-tenant orchestration for the MCP governance pipeline.
Static site generation, theme rendering, and asset bundling for systemprompt.io AI governance dashboards. Handlebars and Markdown pipeline for the MCP governance platform.
Security infrastructure for systemprompt.io AI governance: JWT, OAuth2 token extraction, scope enforcement, ChaCha20-Poly1305 secret encryption, the four-layer tool-call governance pipeline, and the unified authz decision plane (deny-overrides resolver + AuthzDecisionHook) shared by gateway and MCP enforcement.
Analytics for systemprompt.io AI governance infrastructure. Session, agent, tool, and microdollar-precision cost attribution across the MCP governance pipeline.
Agent-to-Agent (A2A) protocol for systemprompt.io AI governance: streaming, JSON-RPC models, task lifecycle, .well-known discovery, and governed agent orchestration.
File storage, metadata, and access control for systemprompt.io AI governance infrastructure. Governed file operations for the MCP governance pipeline.
Background jobs, cron tasks, and job-extension dispatch for systemprompt.io AI governance infrastructure. Tokio-backed scheduling for the MCP governance pipeline.