Google_Generative_AI: A Complete Gemini API SDK for .NET Developers

This article introduces the Google_Generative_AI C# SDK developed by the tryAGI team. The SDK is auto-generated based on Google's official OpenAPI specification, supporting Gemini's chat completion, embedding vectors, visual understanding, and voice features, and is compatible with .NET Framework and NativeAOT. The project is open-source, with source code hosted on GitHub (link: https://github.com/tryAGI/Google_Generative_AI), released on June 14, 2026. Key advantages include synchronized updates with the official API, deep integration of modern .NET features, and support for standardized interfaces.

With the rise of Google Gemini models, .NET developers want to integrate their capabilities, but the official SDK has issues like delayed updates, incomplete feature coverage, and insufficient integration of .NET features. tryAGI launched this SDK to address these pain points: auto-generation based on the official OpenAPI ensures synchronized updates, deep integration of modern .NET features, and provides a type-safe, high-performance development experience.

1. Auto-generation and Synchronized Updates: Generated automatically from the official OpenAPI specification using the AutoSDK toolchain. API updates can be synchronized on the same day, reducing technical debt.
2. Modern .NET Feature Support: Nullability annotations (catch null values at compile time), code trimming (reduce size), NativeAOT (native performance), backward compatibility (.NET Framework and Standard 2.0).
3. Microsoft.Extensions.AI Integration: Implements standardized interfaces such as IChatClient (unified chat interface), IEmbeddingGenerator (embedding vectors), and ISpeechToTextClient (speech recognition), making it easy to switch AI providers.

• Chat Completion: Supports multi-turn conversations, streaming responses, and system prompts, suitable for Q&A bots and multi-turn interaction systems.
• Embedding Vectors: Generates text embeddings via IEmbeddingGenerator for semantic search, similarity calculation, and RAG systems.
• Visual Understanding: Processes image input, supports image description, visual Q&A, and mixed text-image dialogue.
• Voice Features: TTS (Gemini 3.1 Flash model, 30 voices + emotion tags), STT (WAV format support).
• Gemini Live API: WebSocket bidirectional real-time voice/video streams, suitable for real-time AI assistants and live interactions.

The SDK design focuses on C# conventions, with intuitive and readable APIs. The repository contains rich examples, such as samples/AudioRoundTrip which demonstrates the end-to-end process of speech synthesis and recognition, helping developers get started quickly. Whether it's simple calls or complex streaming processing, the code maintains good maintainability.

• NuGet Distribution: Easily integrated via the NuGet package manager.
• Continuous Integration: GitHub Actions ensures code quality and automatic releases.
• Discord Community: Real-time technical communication and problem solving.
• Open-source License: Permissive license allowing commercial use and free modification.

• Enterprise-level .NET Applications: Stability and performance optimization required for production environments.
• Cross-platform Development: NativeAOT and code trimming support, suitable for desktop, mobile, and IoT devices.
• Project Migration: Extensions.AI interfaces reduce migration costs from other AI services.
• Prototype Development: Concise APIs and examples accelerate AI feature validation and product iteration.

The Google_Generative_AI SDK fills the gap in .NET support for Gemini's official SDK. Through auto-generation, modern features, and standardized interfaces, it provides .NET developers with future-oriented AI tools. As Gemini models evolve, this SDK is expected to become the first choice for .NET developers to integrate AI capabilities, and it is worth paying attention to and trying.