2024 January Update

Christopher Dengsø

Jan 8, 2024 — 2 min read

We are thrilled to kick off 2024 with a host of exciting new features, and we have many more in store for the year ahead.

Label Thresholds

In your moderation project, you now have the ability to adjust the sensitivity per label, providing fine-grained control over content flagging. Additionally, you can opt to ignore a specific label, allowing you to retain the model's results without flagging content based on that label.

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Please note that thresholds were previously set at the model level, and those thresholds have now been migrated to the label level.

New Documentation Site

We are excited to announce the launch of our new documentation site, which is powered by Mintlify. Explore the new documentation here:

If you notice any missing information or have feedback, please do not hesitate to let us know.

OpenAPI Specs

You can now access the OpenAPI specs for the Moderation API at https://moderationapi.com/api/v1/openapi.json, enabling you to generate typed client libraries for your preferred programming language.

Typescript client library

We now offer a Typescript client library for Moderation API. Check it out here:

Please let us know if you need a client library for any other language, or alternativly use our OpenAPI Spec.

Project Duplication

You can now duplicate projects from the projects overview, a feature particularly useful for creating copies of projects for new development environments.

Improved Accessibility

We have enhanced the overall accessibility of the dashboard. If you encounter any accessibility issues or have suggestions for further improvements, please reach out to us.

Llama-Guard 3 on Moderation API

Llama Guard 3, now on Moderation API, offers precise content moderation with Llama-3.1. It’s faster and more accurate than GPT-4, perfect for real-time use and customizable for nuanced moderation needs.

How to self-host Llama-Guard 3 for content moderation

Llama-guard is a one of the best available models for content moderation at the moment. Here's a guide on everything from setting up a server to configuring Llama for your use case.

Context awareness for message moderation

Context is crucial when handling content moderation. One thing might seem innocent in one context, but hateful in a different context. You can already supply contextId and authorId with content, and this can help you understanding the context when reviewing items in the review queue. Now you can also enable

GPT-4o-mini for AI Agents

Update: since the creation of this post we've also added Llama Guard 3. Llama Guard 3 is now the recommended model for AI agents. Read about Llama Guard here. OpenAI have just released their latest model GPT-4o-mini. We're excited about the updated model and are already