Installation
Install Mirage:Create a Workspace
Start with the RAM resource so you can try Mirage without credentials.Run Commands
Once a resource is mounted, you can use Mirage like a shell over your virtual filesystem:Output Safeguards
To keep huge reads from flooding an agent,cat, grep, rg, head,
and tail cap their final output at 2000 lines by default. When a
cap fires, the agent sees the truncated bytes plus a stderr notice
(output truncated at safeguard limit (2000 lines); ...); exit code
stays 0.
Caps fire only on the terminal command of a pipeline, so
cat big.txt | head -n 30 still shows 30 lines.
Configure per mount
Limits are per-command and per-mount. Attach them when you mount a resource by passing a(resource, mode, {command: CommandSafeguard})
tuple. Each guard sets max_lines / max_bytes (output cap) and/or
timeout_seconds (deadline); on_exceed is TRUNCATE (default, exit 0
plus notice) or ERROR (exit 1 plus notice):
command_safeguards
block in the workspace YAML.
Next Steps
- See Python Installation for resource extras and the
uvworkflow. - Browse Python Agents to wire Mirage into the OpenAI Agents SDK, LangChain, Pydantic AI, CAMEL, and OpenHands.
- Pick a real backend from Resource Docs, such as S3, Slack, or GitHub.