Production AI agent operations
Operations, support, and workflow automation teams
Move from model calls to repeatable agent workflows: unify model access, orchestrate tools, and run task execution on dependable service infrastructure.
Solution stack
Expected outcomes
- Repeatable multi-step workflows
- Controlled model and tool access
- A path from prototype to operation
What this architecture solves.
A model response is not enough when the work requires multiple steps and tools.
Teams need consistent model access and controlled execution policies.
Agent runs need service infrastructure that can operate beyond a prototype.
Reference architecture.
Each layer has one job. Together they create a path from the user or request to the service that fulfills it.
Task orchestration
Weiyang turns a goal into a tool-using workflow that can execute multiple steps and return a result.
Model and provider access
anyflows supplies the unified model surface, routing, failover, and usage visibility underneath the agent.
Execution services
Cloud Servers run agent workers, business integrations, background jobs, and operational services.
How the request moves.
A simplified traffic path for this solution. The final route is adapted to your regions, services, and policies.
Recommended implementation path.
Start with the highest-impact boundary, validate the traffic path, and add the next layer as the system grows.
- 01Define the task boundary and tools the agent may call
- 02Connect model access through anyflows
- 03Run workers and integrations on Cloud Servers
- 04Observe, refine, and promote repeatable workflows
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