Google Vertex AI

The Google Vertex AI Integration brings the power of enterprise-grade large language models into your UAC workflows, enabling intelligent automation that can understand, generate, and transform content. By connecting your automation workflows to Google-hosted AI models, you can build solutions that combine the reliability and orchestration capabilities of UAC with the reasoning and language capabilities of modern LLMs.

This integration opens up a wide range of automation possibilities: from analyzing logs and generating human-readable summaries of complex system states, to intelligently routing and classifying data, transforming unstructured information into structured formats, or even making context-aware decisions within your workflows. Prompts can be enriched by files or UAC Variables and outputs can be persisted for reuse across multiple tasks and workflows—enabling you to chain AI operations together or share insights across your automation ecosystem.

Key Features

1. Works with Chat Completions API for comprehensive LLM interaction patterns.
2. Platform-flexible design supporting MaaS models from different providers.
3. Enrich prompts with data from files and UAC Variables, and save outputs for use throughout your automation ecosystem.
4. Structured output support with JSON schemas for predictable, machine-consumable responses on models that support this capability.
5. Provides "Advanced Options" to tinker the behavior of the selected model, like increasing the determinism of the response, penalizing repetition and others.