One common request we hear is whether it’s possible to attach files to an LLM — for example, to extract data from a PDF or engage with its content. With this update, you can now do just that.

The ‘Log Filters’ feature is now available, following high demand from our users. Monitoring logs is essential for tracking performance and identifying areas for improvement, and with this new feature, it’s now easier to find the exact data you need to make informed decisions.

Introducing Prompt Snippets, a feature designed to boost your efficiency by allowing you to reuse key parts of your prompt across multiple variants.

We’ve added a new Output Masking feature to further strengthen security for the most sensitive use cases. With this feature, you can now mask the entire model’s output in a Deployment, providing an additional layer of data protection.

We’ve added a new feature to the Billing page called Workspace Usage. This tool provides users with a clear overview of how many API calls they’ve used out of their available limit within their current billing cycle. The usage tracking starts from the beginning of your subscription.

Structured Outputs is a feature that makes sure the model's responses always follow your provided JSON Schema. This means you don't have to worry about the model leaving out any required parts or making up incorrect values.

Set up your custom API keys with the new Vertex AI integration.

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We removed the email and password login combination to enhance the security of our platform.

With the introduction of Google AI as a new provider on the platform, the previous 'Google' provider is renamed to Vertex AI.

To give data scientists greater flexibility, we now allow you to export your Experiment results directly from Orq.ai. This update provides the freedom to extend your analysis beyond the platform, enabling you to work with your data in your preferred tools and environments.