Cloud World Model
Cloud World Model documentation
Start with a simulation walkthrough, then explore CWM's MCP agents, RL training environments, chaos experiments, accuracy, fidelity and REST API.
Start with a simulation
Create a virtual infrastructure graph, advance the model and inspect simulated metrics. The walkthrough includes copyable requests and response shapes; it is the best starting point for a first API call.
MCP quickstart
Connect an AI assistant through the MCP server. The quickstart covers connection configuration and a first tool call.
Agent workflows
For agent-oriented APIs, examples and tool descriptions, read the agent reference. Pair it with the simulation walkthrough before automating changes.
RL environments
Use a linked simulation as an episodic training environment. The environment reference documents create, step, observation, reset, actions and reward fields; read it before designing an autoscaling policy.
Chaos and scenarios
Browse modeled failure scenarios and run chaos jobs against a simulation, not live infrastructure. The use-case guide describes asynchronous jobs and result retrieval.
Accuracy evidence
Read benchmark methodology, reference comparisons and metric-specific limitations before using estimates to make a deployment decision.
Model fidelity
Check which behaviors the simulator models and where documentation-backed assumptions or unsupported behavior limit transfer to production.
REST API reference
Browse endpoint schemas, authentication and request/response definitions in the interactive API reference. For a machine-readable description of simulator capabilities, see the simulator description endpoint.
- Interactive OpenAPI reference: /api-docs/
- Machine-readable simulator description: /api/description
Guide: pre-provision multi-cloud simulation
Define a virtual baseline, inspect modeled cost and latency, then review the evidence and assumptions before comparing deployment options.
Guide: RL autoscaling environments
Follow a valid environment-create and step example, including the nested action contract and evaluation caveats.
Guide: chaos without production changes
Run a modeled failure experiment, inspect the asynchronous result and distinguish simulation from production fault injection.