Is There Anything Like This?

Not really. Existing tools are siloed:
Ollama focuses on local models only; vLLM exposes a single server;
vendor CLIs target their own APIs; GUI apps emphasize convenience over orchestration.
None unify multi‑provider routing, load balancing, and a
high‑capacity ChatGPT Web client tuned for extremely long sessions.

What Makes Aaasaasa AI Different

• Unified, multi‑provider CLI — one tool for Ollama, vLLM, OpenAI/Anthropic (extensible), with profiles and per‑model routing.
• Production‑grade load balancing — strategies like round_robin, least_conn, and power‑of‑two choices (p2c) applied to LLM backends.
• Intelligent failover — automatic fallback from cloud (e.g., API quota hit) to local nodes; optional multi‑key rotation to spread usage across accounts.
• Local‑first performance — pushes work to on‑prem GPUs/CPUs via Ollama/vLLM for low latency and data locality.
• High‑capacity Web Client — a dedicated Chromium launcher for ChatGPT with isolated profile, large JS heap, GPU rasterization, and no background throttling; built for 1000+ message sessions.
• Separation of concerns — CLI for orchestration; Web client for human interaction with maximum stability and memory headroom.
• Brandable & private — Aaasaasa Studio by Aleks: local configs, optional on‑prem gateway, no vendor lock‑in.

Advantages Over Other Tools

• One interface, many backends — switch between local clusters and cloud models without changing workflows.
• Resilience by design — quota errors or node outages don’t halt work; 3a2a routes around failures automatically.
• Massive session support — the Web client avoids typical browser constraints by using an isolated profile and aggressive performance flags.
• Edge & on‑prem friendly — keep data near you, use your 64 GB+ RAM and local GPUs to accelerate response time.

Features No One Else Combines

• CLI + Web synergy — send the same task to local LLMs (CLI) or ChatGPT (Web) with consistent behavior.
• LB algorithms for LLMs — web‑inspired balancing (least‑connections, p2c) applied to inference endpoints.
• Key rotation + fallback chain — gracefully move from one API key/provider to another, then to on‑prem models.
• Ultra‑long chats — specialized ChatGPT launcher tuned for huge conversations that overwhelm normal browsers.

Roadmap

• Aaasaasa Gateway (Aaasaasa) — a lightweight on‑prem router for all LLM traffic (already prototyped).
• Auto‑model selection — choose models by task type, latency budget, or cost.
• Cluster controls — health checks, EWMA latency scoring, hedged requests, and adaptive concurrency.
• Advanced Web automations — optional scripting/injection layer for power‑workflows in the ChatGPT client.

Who Is It For?

Power users, teams, and labs that need reliable, fast, and scalable AI workflows,
combining local models for speed/privacy with cloud models when needed —
without ever getting stuck on quota, memory, or browser limits.