This package provides a wrapper for OCI Generative AI services.
AI services (LLM client, embedding, extraction) for Memo SDK
A JS client for consuming Jetpack AI services
Pure JavaScript package for integrating ScanDoc-AI services.
MCP server for Jina AI services
React hooks for connecting to Envive AI services.
Library to implement AI services with ApiRTC.js
Spikefrost CLI — cloud tools, AI services, and connected APIs from your terminal
SDK for MT AI Services
Pure JavaScript package for integrating ScanDoc-AI services.
Deep-link prompts to AI services (ChatGPT, Claude, Gemini, Grok, Perplexity, etc.)
TypeScript client for RocketRide data processing and AI services
Common code for Backstage AI services
Backend SDK for Lava Payments API - enabling usage-based billing for AI services
Lightweight client SDK for Dataclouder AI Services
Shared MongoDB data layer for AI services
A toolset of integration with Open AI services
A simple and extensible AI provider package for easy integration of multiple AI services
TypeScript SDK for Cognipeer Console - Multi-tenant AI services platform
Cursor editor integration for file opening, code insertion, and AI services
API client for Beet Root AI services
API schemas for Beet Root AI services
Cortex is a GraphQL API for AI. It provides a simple, extensible interface for using AI services from OpenAI, Azure and others.
A SDK designed for integrating multiple services (such as event tracking, AI services, etc.) into your application.
Secure your MCP server configs. Scan, fix, and protect API keys in Model Context Protocol configuration files.
generated REST API bindings
An interface for OpenAI's ChatGPT, Google's Gemini, Anthropic's Claude, Mistral's LeChat, etc.
A Ruby client library for managing AI conversations via a remote API.
Ruby Gem for AI Applied service (ai-applied.nl)
A Ruby Gem created to communicate with Gemini via Vertex AI, Generative Language API, or AI Studio, Google's generative AI services. It works with Ruby versions 2.6.0 and higher.
AI Platform Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models. Note that google-cloud-data_labeling-v1beta1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-data_labeling instead. See the readme for more details.
This is a Ruby API wrapper for consuming the https://linguin.ai/ API allowing you to detect the language of a text fast and with high accuracy.
AI Platform Data Labeling Service lets you work with human labelers to generate highly accurate labels for a collection of data that you can use in machine learning models.
This gem provides an easy-to-use interface for Swiftner's API, allowing seamless integration of AI-driven transcription services into your Ruby applications.
A Ruby Gem for interacting with Gemini through Vertex AI, Generative Language API, or AI Studio, Google's generative AI services.
Modern service orchestration framework designed for the AI era. Enables rapid development of both traditional and AI-powered applications through composable, testable operations. Features agent-oriented architecture, AI-friendly patterns, and robust service composition.
Document AI uses machine learning on a single cloud-based platform to automatically classify, extract, and enrich data within your documents to unlock insights. Note that google-cloud-document_ai-v1 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-document_ai instead. See the readme for more details.
Document AI uses machine learning on a single cloud-based platform to automatically classify, extract, and enrich data within your documents to unlock insights. Note that google-cloud-document_ai-v1beta3 is a version-specific client library. For most uses, we recommend installing the main client library google-cloud-document_ai instead. See the readme for more details.
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