ai-server
AI Server
Stars: 87
AI Server is a self-hosted private gateway that orchestrates AI requests through a single integration, allowing control over AI providers like LLM, Diffusion, and image transformation. It dynamically delegates requests across various providers, including LLM APIs, Media APIs, and Comfy UI with FFmpeg Agents. The tool also offers built-in UIs for tasks like chat, text-to-image, image-to-text, image upscaling, speech-to-text, and text-to-speech. Additionally, it provides admin UIs for managing AI and media providers, API key access, and monitoring background jobs and AI requests.
README:
Website: openai.servicestack.net
Self-hosted private gateway to manage access to multiple LLM APIs, Ollama endpoints, Media APIs, Comfy UI and FFmpeg Agents.
flowchart TB
A[AI Server]
A --> D{LLM APIs}
A --> C{Ollama}
A --> E{Media APIs}
A --> F{Comfy UI
+
FFmpeg}
D --> D1[OpenRouter / OpenAI / Mistral AI / Google Cloud / GroqCloud]
E --> E1[Replicate / dall-e-3 / Text to speech]
F --> F1[Diffusion / Whisper / TTS]AI Server is a way to orchestrate your AI requests through a single self-hosted private gateway to control what AI Providers your Apps with only a single typed client integration. It can be used to process LLM, AI, Diffusion and image transformation requests which are dynamically delegated across multiple configured providers which can include any Ollama endpoint, OpenRouter / OpenAI / Mistral AI / Google Cloud / GroqCloud LLM APIs, Replicate / Open AI/Dall-e-3 / Text to speech Media APIs, Diffusion / Whisper / Text to Speech from Comfy UI and FFmpeg Agents.
As part of the overall AI Server solution we're also maintaining Docker Client Agents configured with Comfy UI, Whisper and FFmpeg which can be installed on GPU Servers to provide a full stack media processing pipeline for video and audio files which can be used as part of your AI workflows.
See AI Server Docs for documentation on installation and configuration.
In addition to its backend APIs, it also includes several built in UI's for utlizing AI Server features:
Use Admin UIs to manage AI and Media Providers and API Key Access
Increase capacity by adding AI Providers that can process LLM Requests
Add local Ollama endpoints and control which of their Models can be used
Glossary of LLM models available via Ollama or LLM APIs
List of different AI Provider Types that AI Server supports
Increase capacity by adding AI Providers that can process Media & FFmpeg Requests
Add a new Replicate API Media Provider and which diffusion models to enable
Add a new Comfy UI Agent and control which of its models can be used
Glossary of different Media Provider Types that AI Server supports
View completed and failed Background Jobs from Jobs Dashboard
Monitor Live progress of executing AI Requests
View all currently pending and executing AI Requests
Use Admin UI to manage API Keys that can access AI Server APIs and Features
Edit API Keys for fine grain control over API Keys access and scope
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