GPT-5 Chat

POST/v1/responses

GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.

Request body

Parameters supported by the OpenAI Responses API. Values, defaults, and limits are read from the model registry.

string | array<object>inputrequired

Input text or structured content for the response.

Optional<integer>max_tokens

Maximum number of tokens the model may generate in the response.

Maximum: 16384

Optional<number>temperature

Sampling temperature. Lower values are more deterministic; higher values are more creative.

Range: 0 to 2

Default: 1

Optional<boolean>stream

When true, returns incremental Server-Sent Events instead of one completed response.

Default: false

Optional<object>response_format

Controls the response format, including JSON mode or structured JSON output when supported.

Optional<integer>seed

Seed used to make sampling more reproducible when the provider supports it.

Response Schema

Fields returned by the OpenAI Responses API.

stringidrequired

Unique response identifier.

stringobjectrequired

Response object type.

stringstatusrequired

Response lifecycle status.

stringmodelrequired

Model that generated the response.

array<object>outputrequired

Generated response output items.

Optional<object>usage

Token usage when available.

Model capabilities

array<string>capability_tagsrequired

Capabilities declared by the model registry.

Default: chat, vision, structured_output

integercontext_lengthrequired

Maximum context window accepted by this model.

Default: 128000 tokens

stringexecution_moderequired

Execution mode declared by the model registry.

Default: sync

curl -X POST https://api.sandbase.ai/v1/responses \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gpt-5-chat",
  "input": "Describe this product in one sentence."
}'

Response200 OK

{
  "id": "resp_abc123",
  "object": "response",
  "status": "completed",
  "model": "gpt-5-chat",
  "output": [
    {
      "type": "message",
      "content": [
        {
          "type": "output_text",
          "text": "A concise product description."
        }
      ]
    }
  ]
}