gpt-oss-safeguard-20b
/v1/responsesgpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust & safety labeling.
Request body
Parameters supported by the OpenAI Responses API. Values, defaults, and limits are read from the model registry.
Input text or structured content for the response.
Maximum number of tokens the model may generate in the response.
Maximum: 65536
Sampling temperature. Lower values are more deterministic; higher values are more creative.
Range: 0 to 2
Default: 1
Nucleus sampling threshold. Use this or temperature, but usually not both.
Range: 0 to 1
When true, returns incremental Server-Sent Events instead of one completed response.
Default: false
Tool definitions that the model may call during the response.
Controls whether the model may call a tool and, when supported, which tool it must call.
Controls the response format, including JSON mode or structured JSON output when supported.
Sequences that stop generation when the model produces one of them.
Seed used to make sampling more reproducible when the provider supports it.
Response Schema
Fields returned by the OpenAI Responses API.
Unique response identifier.
Response object type.
Response lifecycle status.
Model that generated the response.
Generated response output items.
Token usage when available.
Model capabilities
Capabilities declared by the model registry.
Default: chat, reasoning, structured_output, function_calling
Maximum context window accepted by this model.
Default: 131072 tokens
Execution mode declared by the model registry.
Default: sync