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. |
JSON Schema
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$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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