Use case
Governed AI agents
Agent loops that call model capabilities through one governed, region-pinned endpoint — the orchestration stays yours, the inference stays pinned.
The problem
Agents that hop between several provider APIs inherit several governance regimes: different regions, different retention, different terms — and the organization that deploys the agent can't state a single data boundary.
Why data control matters
One endpoint changes the audit story. Through ccsio.ai every model call in your agent loop goes through the same region-pinned, dedicated-infrastructure inference with no storage by default, no sharing and no training on shared or third-party models — one boundary to state, to test and to defend.
Architecture summary
Your orchestration — planning, tools, memory — stays in your stack. The model calls are the only external dependency, and they all go to your market's OpenAI-compatible endpoint.
Model strategy
Point every inference step of the loop at Qwen 3.8's chat completions; steps that need long running context benefit from the 320K-token window.
Regional considerations
Pin the agent to the market that matches the data it acts on; an agent serving EU data runs in the EU market (operated from Germany), and so on.
Governance & data boundary
Inference — prompts and outputs — not stored by default, never shared and never trained on; processing in the market's operating location. The agent's own governance (auth, audit, scope) remains yours to define.
Integration example
def think(state):
return client.chat.completions.create(
model="qwen-3-8",
messages=[{"role": "user", "content": render_plan(state)}],
) # same endpoint for every stepFrequently asked questions
Does this host the agent itself?
No — it hosts the model inference the agent calls. Orchestration, tools and memory stay in your stack; the model endpoint is one governed dependency.
Can the agent switch mid-run?
It can switch models that ccsio.ai serves, but the calls stay on the same region-pinned endpoint — the data boundary does not change mid-run.
Start with control
Join the waitlist for an account in your region.