zurelay-com · Schema

PostV1ChatCompletionsRequest

CompanyArtificial IntelligenceCloudMachine LearningCost-Saving

Properties

Name Type Description
model string A model ID from the models page, such as claude-opus-5-5 or gpt-6-sol.
messages array The conversation: system (or developer), user, assistant and tool messages. Content is a string, or an array of parts to add images, PDFs, audio or video.
stream boolean Send the answer as server‑sent events while it’s written.
stream_options object Object with "include_usage": true to add a final chunk with token usage.
max_completion_tokens integer The most tokens to generate, reasoning included. max_tokens works too.
temperature number 0 to 2. Lower is more focused, higher more varied.
top_p number Nucleus sampling, 0 to 1. Change this or temperature, not both.
stop string Up to 4 sequences where generation stops.
tools array Functions the model may call.
tool_choice string auto, none, required, or a specific function.
response_format object JSON output: { "type": "json_object" } or json_schema with a schema.
reasoning_effort string How hard a reasoning model thinks: none, minimal, low, medium, high, xhigh or max.
seed integer Best‑effort reproducibility, for models that support it.
models array Smart routing alternatives to try, in order, if the model is down.
View JSON Schema on GitHub

JSON Schema

zurelay-com-post-v1-chat-completions-request-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://artifacts.apis.io/zurelay-com/json-schema/zurelay-com-post-v1-chat-completions-request-schema.json",
  "title": "PostV1ChatCompletionsRequest",
  "x-generated": "2026-10-31",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/_ae-authored/zurelay-com-openapi-generated.yml#/components/schemas/PostV1ChatCompletionsRequest",
  "type": "object",
  "properties": {
    "model": {
      "type": "string",
      "description": "A model ID from the models page, such as claude-opus-5-5 or gpt-6-sol."
    },
    "messages": {
      "type": "array",
      "description": "The conversation: system (or developer), user, assistant and tool messages. Content is a string, or an array of parts to add images, PDFs, audio or video."
    },
    "stream": {
      "type": "boolean",
      "description": "Send the answer as server‑sent events while it’s written."
    },
    "stream_options": {
      "type": "object",
      "description": "Object with \"include_usage\": true to add a final chunk with token usage."
    },
    "max_completion_tokens": {
      "type": "integer",
      "description": "The most tokens to generate, reasoning included. max_tokens works too."
    },
    "temperature": {
      "type": "number",
      "description": "0 to 2. Lower is more focused, higher more varied."
    },
    "top_p": {
      "type": "number",
      "description": "Nucleus sampling, 0 to 1. Change this or temperature, not both."
    },
    "stop": {
      "type": "string",
      "description": "Up to 4 sequences where generation stops."
    },
    "tools": {
      "type": "array",
      "description": "Functions the model may call."
    },
    "tool_choice": {
      "type": "string",
      "description": "auto, none, required, or a specific function."
    },
    "response_format": {
      "type": "object",
      "description": "JSON output: { \"type\": \"json_object\" } or json_schema with a schema."
    },
    "reasoning_effort": {
      "type": "string",
      "description": "How hard a reasoning model thinks: none, minimal, low, medium, high, xhigh or max."
    },
    "seed": {
      "type": "integer",
      "description": "Best‑effort reproducibility, for models that support it."
    },
    "models": {
      "type": "array",
      "description": "Smart routing alternatives to try, in order, if the model is down."
    }
  },
  "required": [
    "model",
    "messages"
  ]
}

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