{"name":"Cerebrium","description":"Cerebrium developer documentation for real-time and production AI workloads. Learn how to deploy low-latency inference APIs, voice agents, multi-region apps, serverless GPUs and CPUs, and workloads that need strong cold-start and scaling performance.","url":"https://cerebrium.ai/docs/","version":"1.0.0","protocolVersion":"0.3","preferredTransport":"HTTP+JSON","supportedInterfaces":[{"url":"https://cerebrium.ai/docs/","protocolBinding":"HTTP+JSON","protocolVersion":"0.3"}],"provider":{"url":"https://cerebrium.ai/docs/","organization":"Cerebrium"},"documentationUrl":"https://cerebrium.ai/docs/","capabilities":{"streaming":false,"pushNotifications":false},"defaultInputModes":["text/plain"],"defaultOutputModes":["text/plain"],"skills":[{"id":"cerebrium","name":"cerebrium","description":"Use for any Cerebrium task: deploying Python code to serverless GPU or CPU, writing or fixing cerebrium.toml, choosing hardware and regions, calling deployed endpoints (REST, streaming, WebSocket, async), autoscaling and concurrency, cold starts, secrets, CI/CD, and debugging a build or a running app from the terminal. Covers the cerebrium CLI, configuration defaults the API actually applies, accepted GPU identifiers with per-plan limits, and troubleshooting.","tags":[],"url":"https://cerebrium.ai/docs/.well-known/agent-skills/cerebrium/skill.md"}]}