AlphaOne AI
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Multi-Provider Gateway • 12-Tier Auto RollOver Router

Multi-Provider AI Workspace & Local AI Gateway

Maximize your AI productivity with Local AI through Local Device GGUF (100% offline & private on your PC) or your own Local Cloud Modal GPU endpoint, or connect your API keys for OpenAI, Anthropic, DeepSeek, Qwen, Kimi AI, Cloudflare Workers AI, Agnes AI, Google Gemini & Groq LPU with our 12-Tier Auto RollOver Router. Use one local AI platform for chat, image generation, and coding workflows across compatible clients.

Local Device AI can run fully offline. Local Cloud and provider requests are sent only to configured user-owned endpoints or selected provider APIs using user-controlled credentials.

Next-Generation Multi-Engine Features

Explore a local-first architecture that combines Local Device GGUF, an optional user-owned Local Cloud Modal endpoint, Direct BYOK providers, and a 12-Tier cloud fallback cascade.

Local AI — Device or Cloud (Priority 1)

Choose Local Device to run GGUF models 100% offline with CUDA, Vulkan, or CPU, or select Local Cloud to connect HyperRouter to your own Modal-managed GPU inference endpoint.

Smart Hardware Acceleration

Automatically selects available CUDA, Vulkan, or CPU runtime assets for local GGUF execution.

Premium Image Studio

Generate stunning visuals with multiple aspect ratios (1:1, 16:9, 9:16, 4:3). Features automatic failover between Google Cloud and Pollinations AI networks.

Antigravity Code Workspace

An autonomous multi-turn agentic terminal powered by remote Linux Cloud Sandboxes. Perfect for complex software engineering and algorithm design.

Intelligent Budgeting & Probes

Automated real-time billing probes detect Free vs Paid Tier accounts with Eco, Maximum, and Auto prompt allocation strategies to control costs.

Reasoning UI Trace Parser

Real-time Gemma 4 & Groq token evaluator intercepting reasoning streams inside SSE streams, displayed in an interactive glassmorphic accordion.

Featured Insight September 3, 2026

Gemini 3.8 Flash Is Here: Why Google Released It Just 3 Weeks After 3.7 and What It Means for HyperRouter

Google launches Gemini 3.8 Flash only three weeks after Gemini 3.7 Flash, targeting long-horizon coding, autonomous agents and complex reasoning. Explore its 1M context, High/Medium/Low thinking, API pricing, capabilities and potential HyperRouter integration.

Read full article

AlphaOne HyperRouter Engine

Connect your favorite coding clients — VS Code, Visual Studio .NET, Android Studio, OpenAI Codex CLI & IDE Extension, Cline, Cursor, Continue.dev, and Antigravity-compatible clients — to one lightweight AI routing engine. Use Local Device for 100% offline GGUF execution with CUDA, Vulkan, or CPU, select your own Local Cloud Modal GPU endpoint, or automatically roll over across eligible cloud AI providers when quota or provider failures occur.

One Stable Model ID, Central Profile Control

Configure supported IDEs and coding clients with alphaone-hyperrouter, then select HIGH, MEDIUM, LOW, or CUSTOM from HyperRouter Settings without reconfiguring the client model ID.

NEW • TEAM SHARING

Share One HyperRouter Across Your LAN

Run HyperRouter on one PC or server and connect multiple developer devices through a configurable LAN address and port. Share Local Device GGUF resources, Local Cloud configuration, cloud providers, and routing settings centrally while each client keeps its own independent conversation and Responses session.

AlphaOne HyperRouter Engine Complete Architecture Overview

How AlphaOne AI Works

Bring Your Own Key (BYOK) keeps provider credentials and quota choices under your control.

1

AUTHORIZED AI ACCESS ONLY

Official APIs, user-owned credentials and provider-permitted local models. No scraping, no access-control bypassing, and no unauthorized wrappers or free-access workarounds.

2

Choose Your AI Source

Local Device: Point HyperRouter to a folder containing .gguf model files for offline execution with no cloud API key required.
Local Cloud: Connect your own Modal-managed inference endpoint and credentials when you want remote GPU compute.
Cloud AI: Obtain an API key or token from supported official providers such as Google AI Studio, OpenAI, Anthropic, DeepSeek, Qwen, Kimi AI, Cloudflare Workers AI, Agnes AI, or GroqCloud. Free and paid quotas depend on each provider and your account.

3

Connect Securely

Enter supported provider credentials in Settings. HyperRouter stores its Windows gateway configuration in the current Windows user profile, while cloud requests are sent only to the provider selected by the routing engine.

4

Route Across Local and Cloud AI

Start chatting, creating artwork, or writing code. HyperRouter evaluates the selected Local AI source when enabled, then routes eligible failures through Direct Providers and the 12-Tier fallback cascade.

Supported AI Models & Failover Hierarchy

Provider Tier Model ID / Identifier Description & Capabilities
Google Direct Direct Tier 0 gemini-3.8-flash-high / medium / low Gemini 3.8 Flash with dashboard-controlled High, Medium, or Low thinking level for Paid accounts.
OpenAI Direct Direct Tier 0 gpt-5.6-sol / terra / luna Direct OpenAI flagship models with instant failover priority.
Anthropic Direct Direct Tier 0 claude-opus-5 / claude-sonnet-5 / claude-haiku-4-5-20251001 Direct Anthropic Claude models with instant failover priority.
DeepSeek Direct Direct Tier 0 deepseek-v4-pro / flash Direct DeepSeek high-throughput reasoning & code synthesis models.
Kimi AI Direct Direct Tier 0 kimi-k3 / kimi-k2.7-code / highspeed Direct Kimi AI (Moonshot) 1M context deep reasoning & specialized coding models.
Qwen Direct Direct Tier 0 qwen3.8-max / qwen3.8-flash / qwen3.7-plus Direct Qwen Dashscope reasoning & coding models with custom Base URL.
Custom Direct Direct Tier 0 User-configured Model ID
Example: gemma-4-26b-a4b
Direct custom OpenAI-compatible endpoint with custom Base URL, API Key, and Model ID configured in HyperRouter Settings.
Cloudflare Workers AI Direct Direct Tier 0 User-selected Workers AI Model ID
Example: @cf/qwen/qwen3.8-27b
Direct Cloudflare Workers AI with a free-form Model ID selected by the user in HyperRouter Settings. The same selected model is used for High, Medium, Low, and Custom profiles, and the provider participates in Direct Provider Auto RollOver.
Google Tier 1 gemini-3.7-flash Flagship primary model supporting up to 1M context architecture (Token limits governed by Google API quota).
Google Tier 2 gemini-3.6-flash High-speed, high-capacity primary fallback model (1M Context).
Google Tier 3 gemma-4-31b-it Massive open-weights reasoning model from Google.
Google Tier 4 gemma-4-26b-a4b-it Specialized open-weights coding model from Google.
Google Tier 5 gemini-3.5-flash High-efficiency general reasoning fallback model.
Google Tier 6 gemini-3.5-flash-lite High-speed lightweight Gemini engine for rapid response.
Google Tier 7 gemini-3-flash-preview Experimental preview model for advanced syntax analysis.
Agnes AI Tier 8 agnes-2.5-flash Ultra-large 512K context window & coding specialist buffer.
Groq LPU Tier 9 llama-3.3-70b-versatile Ultra-fast 70B parameter open model on Groq LPU hardware.
Groq LPU Tier 10 llama-3.1-8b-instant High-throughput instant-response fallback layer on Groq LPU.
Groq LPU Tier 11 qwen/qwen3.6-27b High-speed coding and multilingual specialist.
Groq LPU Tier 12 openai/gpt-oss-20b High-efficiency open reasoning engine for low-latency streaming.

🛠️ Modern Technology Stack

Built on .NET 10.0 Blazor WebAssembly and C# 13 with strict Clean Architecture, SSE streaming, and FontAwesome vector assets. The web workspace and the Windows HyperRouter gateway remain separate execution surfaces.

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