# Model and reasoning controls: https://huggingface.co/openai/gpt-oss-safeguard-20b
# Text-only, reasoning and structured outputs: https://openai.com/index/gpt-oss-safeguard-technical-report/
# Tool-call format: https://huggingface.co/openai/gpt-oss-safeguard-20b/blob/main/chat_template.jinja
# Context: https://huggingface.co/openai/gpt-oss-safeguard-20b/blob/8a11e17b25c973a24099d4016bf2e17dd7ec1574/config.json
# Output is the configured decoder-context ceiling, not a published hosted-API output maximum.
# Prompt, reasoning and final output share the 131,072-token budget; usable output is the remaining context.
# No separate fixed output cap: https://huggingface.co/openai/gpt-oss-safeguard-20b/blob/8a11e17b25c973a24099d4016bf2e17dd7ec1574/generation_config.json
# Reference generation has a caller-supplied token cap (0 = uncapped): https://github.com/openai/gpt-oss/blob/main/gpt_oss/torch/model.py
# Release: https://openai.com/index/introducing-gpt-oss-safeguard/
name = "GPT OSS Safeguard 20B"
description = "Safety model for policy screening, moderation, and risk-aware routing workflows"
family = "gpt-oss"
release_date = "2025-10-29"
last_updated = "2025-10-29"
attachment = false
reasoning = true
temperature = true
tool_call = true
structured_output = true
open_weights = true

[limit]
context = 131_072
output = 131_072

[modalities]
input = ["text"]
output = ["text"]

[[weights]]
label = "Hugging Face"
url = "https://huggingface.co/openai/gpt-oss-safeguard-20b"