CircleAI.Inference 1.4.1

Circle AI

On-device companion AI for the Aether Protocol ecosystem. ~100 C# modules covering inference, multi-agent orchestration, memory + persona, voice, tooling, mesh transport, and 50+ domain adapters — plus an OpenAI-compatible self-hosted inference server you can drop behind a load balancer.

Built around one architectural promise: the SDK has zero model knowledge. ModelScope's catalog is the source of truth, discovered at runtime. A new Qwen / Kimi / DeepSeek variant lands on ModelScope, the SDK picks it up on next refresh. NuGet sleeps — releases are for SDK bugs and new runtime backends, not "we support a new model."

See ARCHITECTURE.md for why.

What's in here

🧠 Inference

The trinity every consumer binds to:

Runtime: Alibaba MNN (Apache-2.0) on every platform. Models: Qwen 3+, Kimi-VL, DeepSeek, GLM — discovered through ModelScope, not pinned in source. See docs/ARCHITECTURE.md for the full Chinese-sovereign rationale.

🖥️ CircleAI.Inference.Server

OpenAI-compatible HTTP server. Endpoints: /v1/chat/completions (SSE streaming), /v1/embeddings, /v1/companion/*, /v1/diagnostics, /v1/healthz, /v1/readyz. JWT and API-key auth out of the box. Ships with a Dockerfile, a systemd unit, and a Windows-service install script.

Drop it behind a load balancer and any OpenAI-SDK consumer talks to it unchanged.

👥 Companion + Memory

• CircleAI.Companion — long-running session loop with proactive turn generation and mesh-state sync.
• CircleAI.Memory — episodic memory + RAG context builder, persona evolution, affect state, goal tracking, feedback signals.
• CircleAI.Orchestration — multi-agent loop (LokiOrchestrator) with quality gates and concurrent dispatch.

🔧 Tools + Skills + Voice

• CircleAI.Tools — IToolBridge for function calling. Built-in HttpToolBridge maps REST APIs to tool definitions.
• CircleAI.Skills — pluggable capability surface the model can invoke contextually.
• CircleAI.Voice — ONNX TTS / STT pipeline (the only ONNX dependency in the codebase — text inference stays MNN).

🕸️ Networking + Security

• CircleAI.Networking.* — pluggable transports (HTTP / WebSocket / AetherNet are production; BLE / DTN / NearLink are scaffolded). ITransportSelector picks per-message based on connectivity, not by consumer choice.
• CircleAI.Security.* — mesh-directive-driven chat refusal, AetherMesh bindings.

🏛️ ≈50 domain adapters

CircleAI.Beauty, CircleAI.Construction, CircleAI.Faith, CircleAI.Family, CircleAI.Fitness, CircleAI.Food, CircleAI.Healthcare, CircleAI.RealEstate, CircleAI.Tourism, CircleAI.Tradesperson, … — each provides domain-specific system-prompt context, knowledge facets, and lifecycle hooks. The companion engine loads only the adapters whose required sensors / UI fit the host device.

Quick install — C# (.NET 9 / .NET 10)

dotnet add package CircleAI.Inference.Server   # if you want the HTTP server
dotnet add package CircleAI.Hosting             # if you want the in-process service

Zero-knob consumer

using CircleAI.Hosting;

// The SDK figures out: which model fits this device, what context window
// it can sustain, how many agents it can dispatch concurrently, which
// KV-compression mode to use. The consumer only states intent.
var ai = new AIService(new AIOptions
{
    SystemPrompt         = "You are B!, the helpful one.",
    RequiredCapabilities = ChatCapability.Default | ChatCapability.Tools,
});

await ai.StartAsync();

var answer = await ai.AskAsync("What's the capital of Morocco?");
Console.WriteLine(answer);

That's it. No ModelId. No ContextSize. No MaxConcurrency. The SDK probes the device, queries the ModelScope catalog, picks the highest-quality bundle that fits + satisfies the capability flags, and keeps that decision live as the catalog refreshes.

For the full picture (overrides, injection points, observer events, bring-your-own-runtime), see CONSUMING.md.

Self-hosted inference server

docker run -d -p 5050:5050 \
  -v ~/.circleai/models:/var/lib/circleai/models \
  ghcr.io/bhengubv/circleai-inference-server:latest

# Drop-in OpenAI replacement
curl http://localhost:5050/v1/chat/completions \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model":"auto","messages":[{"role":"user","content":"Hi"}]}'

"model":"auto" ⇒ IModelSelector.BestFit(deviceProbe, ChatCapability.Default). The server picks; you don't.

Full deployment guide in docs/DEPLOY.md.

Sister repository — the 10-language portable kernel

The portable Circle AI kernel (AffectState math, KnownLanguages registry, ICompanionSession contracts) ships in 10 languages so every Aether node can host the companion stack natively — C#, Python, TypeScript, Go, Kotlin, Swift, Rust, C, Android (Kotlin), HarmonyOS (ArkTS).

The 10-language SDK lives alongside the C# framework in this repository. Per-language quickstarts: see docs/quickstart/.

License

MIT. See LICENSE.

Pointers