gemini-api-dev

Function calling with the Gemini API allows models to invoke your custom functions and generate structured outputs. You can implement this using the provided Python, JavaScript, Go, or Java SDKs to execute specific code based on model requests.

Gemini multimodal models process text, images, audio, and video together for unified content analysis. You can use the SDKs across multiple languages to build applications that handle complex multimodal inputs like fiscal document classification.

Structured outputs from Gemini models generate predictable JSON formats based on your specification. You can enforce this schema directly through the API or SDKs to ensure the model returns data structured for your application logic.

The Gemini API supports Go and Java SDKs alongside Python and JavaScript/TypeScript. These SDKs provide the necessary bindings to integrate multimodal processing, structured outputs, and function calling into your applications.

Classifying fiscal documents using Gemini involves feeding uploaded images and text content to multimodal models. The API analyzes the combined inputs to automatically categorize the documents and return the classification results as structured JSON.

The v1beta API specification for Gemini development provides access to the latest preview models and advanced features. You can reference these API specifications directly when configuring your SDK calls for multimodal processing and function calling.