gpt-oss-safeguard-20b
gpt-oss-safeguard-20b is OpenAI’s open-weight safety classifier. Instead of a fixed taxonomy, it takes the policy in the prompt and labels each item against it, so the same model can serve teams whose rules differ. It reasons before answering, which leaves a trace of why an item was labelled the way it was, and its 8K context window holds a policy alongside the content under review. It fits moderation pipelines and review queues where the rules change per product or per customer.
gpt-oss-safeguard-20b is served through Runware's compatible endpoints, which take another provider's request format. Point the SDK you already use at Runware by changing the base URL and the API key, and set model to openai:gpt-oss-safeguard@20b.
Requests and responses keep the provider's format, so its reference documents every parameter.
| Endpoint | Format |
|---|---|
/v1/chat/completions | OpenAI Chat Completions |
Chat Completions
curl -X POST https://api.runware.ai/v1/chat/completions \
-H "Authorization: Bearer $RUNWARE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai:gpt-oss-safeguard@20b",
"messages": [{"role": "user", "content": "What is the capital of France?"}]
}'from openai import OpenAI
client = OpenAI(
api_key="your_runware_api_key",
base_url="https://api.runware.ai/v1",
)
response = client.chat.completions.create(
model="openai:gpt-oss-safeguard@20b",
messages=[{"role": "user", "content": "What is the capital of France?"}],
)
print(response.choices[0].message.content)import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'your_runware_api_key',
baseURL: 'https://api.runware.ai/v1',
});
const response = await client.chat.completions.create({
model: 'openai:gpt-oss-safeguard@20b',
messages: [{ role: 'user', content: 'What is the capital of France?' }],
});
console.log(response.choices[0].message.content);Compatible APIs covers streaming, tool calling and how the endpoint differs from OpenAI, and the OpenAI API reference lists every parameter.