{"name":"Prism","description":"OpenAI- and Anthropic-compatible inference with zero data retention.","url":"https://docs.prisminference.com/","version":"1.0.0","protocolVersion":"0.3","preferredTransport":"HTTP+JSON","supportedInterfaces":[{"url":"https://docs.prisminference.com/","protocolBinding":"HTTP+JSON","protocolVersion":"0.3"}],"provider":{"url":"https://docs.prisminference.com/","organization":"Prism"},"documentationUrl":"https://docs.prisminference.com/","capabilities":{"streaming":false,"pushNotifications":false},"defaultInputModes":["text/plain"],"defaultOutputModes":["text/plain"],"skills":[{"id":"prism","name":"prism","description":"Use when building inference applications with open-weight models, configuring coding agents, implementing tool-calling workflows, streaming responses, or returning structured JSON output. Agents should reach for this skill when they need to call LLMs via OpenAI-compatible or Anthropic-compatible APIs with zero data retention guarantees.","tags":[],"url":"https://docs.prisminference.com/.well-known/agent-skills/prism/skill.md"}]}