[Guard] Policy Augmentation: When adding training data to custom content policies, a new "augment" workflow provides a more targeted way to improve policies. Augmentation is recommended for smaller dataset additions (<50 datapoints), while regeneration is recommended for larger additions. See documentation for more details.
[Guard] Hallucination: New Response Faithfulness model optimized for high-volume usage scenarios. Response Faithfulness Standard offers the existing frontier-model faithfulness model, while Response Faithfulness High Volume is a custom-trained small language model guardrail. This guardrail outputs faithfulness subtypes to categorize faithfulness errors.
[Guard] Chinese input custom content policies — This is a Beta feature allowing users to create custom content policy guardrails in Chinese.
[Platform] Added Gemini AI System support
[Platform] API Key Management: clearer way to manage API Keys for your account.
[Platform] Add APIs for probes and detailed health of components