Schema

You can specify content config parameters as a regular JSON object with the JSON prompt format. We handle the model parameter and only the text modaility is supported at this time.

Capabilities

Supported tools

• Google Maps

  Grounding with Google Maps connects the generative capabilities of Gemini with the rich, factual, and up-to-date data of Google Maps. This feature enables developers to easily incorporate location-aware functionality into their applications. When a user query has a context related to Maps data, the Gemini model leverages Google Maps to provide factually accurate and fresh answers that are relevant to the user's specified location or general area.

• Google Search

  Grounding with Google Search connects the Gemini model to real-time web content and works with all available languages. This allows Gemini to provide more accurate answers and cite verifiable sources beyond its knowledge cutoff.

• Seclai Content Tools

  Inspect source documents connected to your account. Includes tools for loading full content, reading character ranges, searching within documents, viewing stats, and listing available content sources. When a source_connection_content_version_id is provided in agent run metadata it is used as the default. Otherwise the model can discover content via list_content_sources.

• Seclai Knowledge Base

  Search your knowledge bases using semantic similarity. Includes search_knowledge_base and list_knowledge_bases. When a knowledge_base_id is provided in the prompt or agent run metadata it is used as the default. Otherwise the model can discover available knowledge bases at runtime.

Pricing