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Google's Agents API defines and packages reusable AI agents with a base model, instructions, and a preconfigured environment. Agents run in managed cloud sandboxes rather than on the user's laptop; the environments can be shared with users or teams and accessed through an API call.

Google Cloud Agent Observability provides visibility into AI agents’ execution paths, actions, and reasoning, with evaluation capabilities for measures such as accuracy and hallucination detection. It is documented as part of Google Cloud Observability.

Gemini is Google's AI model and assistant accessible through gemini.google.com. It processes mixed media including video, audio, images, and text, and can convert recordings into SOPs, summarize meetings, extract decisions, and draft follow-up emails. In research and development contexts, it serves as an alternative LLM backend for tasks such as adversarial audits of requirements and resume evaluation.

Vertex AI is Google Cloud’s managed platform for developing and deploying machine-learning and generative-AI applications. It provides hosted models and APIs that applications, including agents, can call at runtime, along with tools for model training, evaluation, and serving.

Google's developer API for building applications with Gemini large language models. It provides access to models like Gemini 2.0 Flash and 2.5 Pro, and also supports Gemma open models. Developers use it for tasks such as custom model testing, retrieval, memory, and tool-calling systems.