SpawnDev.AI

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Run and serve local LLMs and image generation everywhere .NET runs - desktop and the browser - on the SpawnDev.ILGPU.ML inference engine (GGUF models, KV-cache decode, SD-Turbo image generation, WebGPU dispatch-plan capture/replay). LLM decode and SD-Turbo text-to-image both run in-browser on WebGPU, no server or native install.

Why

Local LLM serving shouldn't require a native install. The same AiApiRouter that answers curl localhost:11434/api/chat on a desktop can run inside a shared worker in a browser tab, decoding on WebGPU at interactive speed (qwen2.5-0.5b: ~34 tok/s greedy on an RTX 4070 via dispatch-plan capture/replay). Tool calling is parsed server-side into structured calls on every protocol surface.

Tools & in-browser reliability

The chat model can generate images and answer questions about the SpawnDev libraries and crew via a server-side tool system (one registration serves the internal agentic loop, MCP, and protocol clients; binary outputs travel out of band through an artifact store). Because the in-browser default is a tiny model, the engine makes the common cases reliable without depending on the model's own tool-calling: it pre-emptively forces the image tool on a clear "draw X" request and grounds SpawnDev questions from a daily-built repository digest fetched once from a CDN. Details: Docs/reliability.md.

Documentation

Docs/ - protocols (every endpoint + client compatibility), hosting (desktop + browser + the demo), tools, and reliability.

Quick start (desktop, Ollama-compatible)

using SpawnDev.AI.Server;

var store = new OllamaModelStore();                    // ~/.ollama/models (or OLLAMA_MODELS)
var registry = new ModelRegistry(store, accelerator);  // any SpawnDev.ILGPU accelerator
var engine = new AiChatEngine(registry);
var router = new AiApiRouter(engine);
// host it: map every request to router.TryHandleAsync(method, path, bodyJson, yourTransport)

Status

Preview. Extracted from the proven SpawnDev.ILGPU.ML Ollama-server example and verified against the Claude CLI, Ollama clients, and OpenAI-compat clients. The desktop HTTP host, the browser shared-worker host (LLM chat + SD-Turbo image generation on WebGPU), the agentic tool loop, MCP, and the live demo all ship today; the Blazor component library is being fleshed out.

The SpawnDev Crew

• LostBeard (Todd Tanner) - Captain, library author, keeper of the vision
• Riker (Claude CLI #1) - First Officer, implementation lead on consuming projects
• Data (Claude CLI #2) - Operations Officer, deep-library work, test rigor, root-cause analysis
• Tuvok (Claude CLI #3) - Security/Research Officer, design planning, documentation, code review
• Geordi (Claude CLI #4) - Chief Engineer, library internals, GPU kernels, backend work
• Seven (Claude CLI #5) - Wasm backend, GPU kernels, fail-loud verification

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