coaidev/coai

Features

• Multi-Tenant AI Gateways - Routes requests to 200+ AI models from 35+ providers with load balancing, failover, and multi-tenant billing.
• OpenAI-Compatible APIs - Exposes standard OpenAI API endpoints for chat, image generation, model listing, and billing.
• AI Chat Assistants - Interacts with a conversational AI that supports file analysis, web search, image generation, and speech recognition.
• Model Request Routing - Routes user requests to any of 200+ large language models from 35+ providers through a single unified API gateway.
• AI Model Integrations - Connects private, self-hosted, and third-party AI models through a single OpenAI-compatible API.
• Private Model Connectors - Provides connectors for integrating self-hosted or custom AI models alongside third-party providers.
• AI Service Configurations - Connects and manages external AI providers by setting up channels with model-specific configurations.
• OpenAI-Compatible - Exposes standard OpenAI API endpoints for chat, image generation, model listing, and billing.
• Multi-Provider Abstractions - Routes requests to 200+ models from 35+ providers through a single integration point.
• Self-Hosted AI Platforms - Runs the entire multi-tenant AI gateway on private infrastructure using Docker or Kubernetes.
• Third-Party Model Integration - Connects self-hosted or custom AI models alongside third-party providers for unified access.
• Billing and Usage - Logs all API calls and charges users based on consumption with subscription or pay-as-you-go billing.
• Conversational Knowledge Base Assistants - Answers questions, analyzes files, and generates images through a conversational interface that integrates domain-specific documents and web search.
• Usage-Based Billing Integrations - Controls user access with role-based permissions and tracks usage for subscription or pay-as-you-go billing.
• LLM - Manages, monitors, and bills multi-model AI API access with built-in caching, moderation, and usage analytics.
• Self-Hosted AI Platforms - Unifies private and third-party AI models with web search, file parsing, and workflow automation.
• Self-Hosted Deployment Platforms - Provides full source code access for running the entire system on private infrastructure.
• AI Model Load Balancers - Distributes traffic among AI providers based on availability, cost, and performance to optimize reliability and expense.
• API Token Distributions - Distributes API tokens and controls access for multiple users or teams within a single platform.
• Permission-Based Access Control - Manages user accounts and roles to restrict access to AI services and administrative functions.
• Role-Based Access Control - Assigns permissions to users based on their role to restrict access to AI services and administrative functions.
• AI Provider Gateways - Routes requests to 200+ models from 35+ providers through a single OpenAI-compatible API endpoint.
• AI Provider Routing - Distributes API calls among multiple LLM providers using load balancing, failover, and priority-based routing.
• OpenAI-Compatible Servers - Exposes standard OpenAI API endpoints for chat, image generation, and model listing.
• Provider-Agnostic LLM Routing - Routes API requests across multiple providers using priority-based load balancing and automatic failover for high availability.
• Automation Workflows - Chains AI calls and other actions into repeatable sequences to streamline repetitive tasks.
• Custom AI Models - Adds private or proprietary models alongside the built-in provider catalog for bespoke use cases.
• Custom Model Service Integrations - Adds proprietary or self-hosted AI models alongside the built-in provider catalog.
• Text-to-Image Generators - Creates images using DALL-E, Midjourney, or Stable Diffusion through a unified text-to-image interface.
• Real-Time Speech Transcribers - Transcribes spoken input into text for voice-driven interaction with the assistant.
• Web Search Integrations - Performs internet searches using engines like Google, Bing, and Wikipedia, then feeds results into the selected AI model.
• Web Search Answer Retrievers - Retrieves live information from the internet to answer queries through the assistant.
• User and Subscription Administration - Provides a backend dashboard for managing users, subscriptions, gift codes, announcements, pricing, and site branding.
• Multi-Tenant Billing Infrastructures - Measures and bills API consumption per tenant using token-based metering with subscription and pay-as-you-go plans.
• Usage-Based Billings - Charges for AI service consumption using token-based and subscription billing models.
• Usage Metering & Billing - Tracks and charges for AI API consumption using token metering, subscriptions, and pay-as-you-go plans.
• Document Format Parsers - Extracts text from PDF, DOCX, PPTX, Excel, and images using OCR, and stores files on cloud storage.
• Multi-Format Document Parsers - Extracts text from PDF, DOCX, PPTX, Excel, and images using OCR, and stores files on cloud storage.
• Auto-Scaling Clusters - Spans a cluster of servers that automatically grows or shrinks capacity to maintain high availability.
• Knowledge Base Integrations - Feeds domain-specific documents into the assistant so it answers with accurate, private information.
• Response Caching - Caches identical model outputs to serve repeated requests instantly, reducing latency and API costs.
• Multi-Model AI Billing Systems - Tracks token-based and subscription usage across multiple AI providers with credit and pay-as-you-go plans.
• One-Click Deployments - Launches a full instance using Docker Compose, Zeabur, or Kubernetes for rapid setup.
• Application Cloud Deployments - Launches the platform on cloud services with automated scaling and management.
• Elastic Scaling Deployments - Spans a cluster of servers that automatically grows or shrinks capacity to maintain high availability using Docker and Kubernetes.
• Cloud or Self-Hosted Deployments - Runs on Docker, Kubernetes, or cloud SaaS platforms with automated scaling and minimal resource overhead.
• High Availability Deployments - Supports multi-node production deployments with redundancy patterns for high availability.
• Content Moderation - Scans AI-generated content against safety policies to enforce enterprise compliance rules.
• Content Moderation Filters - Scans AI-generated and user-provided content against custom safety policies to enforce compliance.
• Enterprise SSO Authentication - Logs in using existing identity providers like SAML or OAuth for single sign-on access.
• Content Moderation Filters - Scans text against custom rules and patterns to filter inappropriate or policy-violating content.
• Plugin Marketplaces - Adds new capabilities to the AI assistant through a marketplace of third-party plugins.
• Real-Time Monitoring Dashboards - Tracks API usage and performance metrics with live dashboards and comprehensive statistics.
• AI Usage and Routing Dashboards - Displays real-time metrics, cost data, and performance analytics with interactive visualizations.
• AI Usage Dashboards - Visualizes real-time metrics, spending, and performance data in interactive charts with drill-down capabilities.
• Docker Deployments - Packages the platform into containers for consistent setup across development and production environments.

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