Build with AI
Give coding agents and internal copilots a stable, truthful way to consume Cobru documentation.
Cobru Docs is designed to work for developers reading in the browser and for AI systems that need stable markdown and canonical URLs.
What AI tools can use today
llms.txt
Compact bilingual index for tools that need route discovery.
llms-full.txt
Expanded text stream of the public docs for deep retrieval and offline context.
Copy page
Narrative pages expose markdown-friendly output so agents can work from the exact page context.
API reference
Use the repo-owned OpenAPI surface when an agent needs request and response shape accuracy.
Recommended workflow for coding agents
- Start with
/llms.txtto discover the smallest relevant path. - Pull the narrative page markdown before generating code from memory.
- Move to
/docs/api/referencefor exact request and response shape checks. - Treat pages marked with verification caveats as lower-confidence sources.
Truth model
- Public docs document only current Cobru behavior or clearly labeled legacy/menu-derived contracts.
verified,legacy-doc, andmenu-onlyremain meaningful distinctions in the OpenAPI source.- Webhooks are not currently signed publicly, so agents should not model them as cryptographically trusted inputs.