Models

Provides a unified interface to Arize Phoenix's capabilities for managing prompts, exploring datasets, and running experiments across different LLM providers

Drop-in proxy between applications and REST/GraphQL/SQL/file endpoints that automatically handles schema drift detection, data transformation, and pipeline healing using LLM-assisted mapping to create cached JSONata transforms that run without latency and regenerate when upstream schemas change.

Exposes monorepo workspace architecture, generators, tasks, and documentation to language models

Automated time series forecasting with dozens of models and genetic algorithm optimization

Provides AI systems with access to documentation from llms.txt files by fetching and parsing content from specified URLs, enabling seamless documentation lookup during coding sessions.

Unified interface for interacting with multiple LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama with parallel prompt sending and response file saving capabilities.

Provides persistent long-term memory capabilities through semantic indexing, retrieval, and search functions with support for multiple LLM providers and PostgreSQL vector storage.

Enables AI-driven CAD modeling by providing a remote procedure call (RPC) server that allows programmatic control of FreeCAD, supporting operations like creating documents, inserting parts, editing objects, and executing Python code for generative design workflows.

Enables LLMs to directly interact with KiCAD for printed circuit board design.

Enables AI models to explore and understand Rails projects by providing tools for file browsing, route inspection, model analysis, and database schema retrieval across multiple applications.

Enables AI interaction with Autodesk Revit models through a Node.js server that provides tools for creating, modifying, and deleting BIM objects in architectural design workflows.

Streamlines code context sharing with LLMs by implementing smart file selection, code outlining, and multi-language support for efficient code reviews and documentation generation.

Provides web search capabilities using OpenAI's o3 model with configurable reasoning effort levels for finding current information and solving complex problems beyond traditional search engines.

Secure Arch Linux gateway that bridges LLMs with local system capabilities through specialized servers for file system, email, sync, and agent operations without exposing sensitive information

Unified server providing access to OpenAI O3, Google Gemini 2.5 Pro, and Azure OpenAI models with automatic usage tracking, cost estimation, and nine specialized development tools for code analysis, debugging, and documentation generation.

Integrates Google's Gemini AI models enabling real-time response streaming and LLM processing capabilities.

Enables browser automation through structured accessibility snapshots for web navigation, form-filling, element interaction, and data extraction without requiring vision models.

Integrates with Microsoft Azure AI Foundry to enable model deployment, experiment tracking, dataset management, and access to Azure's cognitive services for machine learning project workflows.

AI-powered image generation and editing using Google's Gemini models

Integrates with Hugging Face's ecosystem to search models, datasets, and papers while dynamically connecting to Gradio-based tools hosted on Spaces for extended ML capabilities.

Enables advanced econometric analysis by providing R-based statistical modeling capabilities for researchers and data scientists, supporting complex regression techniques, panel data modeling, and diagnostic testing across diverse research domains.

Enables models to process unlimited document sizes by providing recursive self-querying capabilities through sandboxed Python execution with tools for search, chunking, and iterative exploration that overcome traditional context window limitations.

Integrates with FAL AI to generate images from text prompts using models like 'fal-ai/recraft-v3', enabling real-time visual content creation for design and content generation tasks.

Bridge to multiple OpenAI-compatible LLMs with consensus voting and multi-provider querying

Transforms natural language descriptions into parametric 3D models through a pipeline of image generation, object segmentation, 3D modeling, and OpenSCAD code conversion for customizable 3D printing.

Integrates with AWS Cost Explorer and CloudWatch to analyze cloud spending patterns and Bedrock model usage statistics for detailed cost monitoring and optimization.

Enables text-to-image generation using Replicate's flux-schnell model, offering configurable parameters for on-demand image creation in various applications.

Connects to Hugging Face Spaces to generate 2D pixel art sprites and 3D game assets from text prompts using specialized AI models for rapid game development prototyping.

Combines DeepSeek's analysis with multiple response models to enhance AI conversation quality through structured two-stage reasoning.

Manages and serves customizable prompt templates with variable substitution and tag-based organization for streamlined LLM interactions in development workflows and code reviews.

Bridges Replicate's AI model hosting platform, enabling seamless interaction with diverse machine learning models for tasks like image generation and text processing.

Integrates with the Anima anime/illustration generation model to create high-quality anime and illustrations using structured prompts with quality/artist/character/tags/environment fields and 14 aspect ratio presets.

AI-assisted development of SAP Cloud Application Programming Model applications.

Provides 3D vision and reconstruction capabilities through VGGT transformer model for multi-view reconstruction from image sequences, offering camera pose estimation, depth prediction, point cloud generation, and point tracking with Apple Silicon MPS acceleration for efficient inference on Mac hardw

Provides a bridge to Google Cloud's Vertex AI Gemini models with web search grounding, direct knowledge answering, and documentation-based responses through configurable tools and streaming support.

Integrates voice interaction capabilities using faster-whisper and PyAudio for speech recognition and synthesis, enabling natural language voice interfaces for AI models.

Leverage OpenAI's language models through a standardized interface.

Queries multiple Ollama models in parallel with distinct system prompts focused on empathy, logic, and creativity to provide diverse perspectives on user queries

Facilitate seamless interaction between LLMs and the Heroku Platform.

Generate text using OpenAI's language models.

Structured task management system that breaks down complex projects into manageable tasks with progress tracking, user approval checkpoints, and support for multiple LLM providers.

Integrates with Deepseek R1 model for text generation and analysis tasks, enabling content creation and AI-assisted decision-making in various applications.

Integrates Superdesign's design orchestrator with Claude Code to generate UI designs, wireframes, components, logos, and SVG icons through structured specifications that leverage the IDE's existing LLM connection, featuring automatic file organization and an interactive HTML gallery for viewing all

Escalates complex reasoning tasks to more powerful language models (OpenAI o3, Google Gemini 2.5 Pro, DeepSeek Reasoner) by forwarding markdown prompts with code context and git diffs, returning responses with detailed cost tracking.

Integrates with Vercel's serverless infrastructure to provide a lightweight endpoint for AI model interactions and tasks like chatbots, content generation, and data analysis.

Automates Android phone interactions through vision-language models that capture screenshots, analyze UI elements, and execute touch actions.

Provides a bridge between VictoriaLogs and language models for querying and analyzing log data, enabling DevOps teams to troubleshoot issues and extract insights without writing complex query syntax.

Connects Grasshopper parametric design software with Claude through a bidirectional TCP server and Python bridge, enabling natural language control of architectural and engineering modeling workflows.