Spring AI connects a Spring application to Gemini through Google’s Gemini Developer API or Vertex AI. The Spring AI 1.1 integration reference documents a Spring Boot starter, API-key or Google Cloud credential setup, configurable chat options, and a manual configuration path. Check the documentation for your exact Spring AI release before copying dependency names or properties.
Choose an access path: Gemini Developer API or Vertex AI
Spring AI’s versioned Google GenAI reference describes two ways to access Gemini. With the Gemini Developer API, you provide an API key obtained through Google AI Studio. With Vertex AI, you configure a Google Cloud project and location and use Google Cloud credentials. The reference illustrates application-default login with the gcloud CLI. It characterizes the API-key route as useful for prototyping and development, and Vertex AI as a route for production deployments using Google Cloud features; that is a description of the documented use cases, not an independent security assessment.
Choose based on the service and deployment requirements you have, then confirm that your target model is available for that service and location. The referenced Spring AI material does not establish pricing, quotas, regional coverage, or a comparative security advantage.
Set up Spring Boot auto-configuration
The Spring AI 1.1 Google GenAI page documents this dependency coordinate:
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org.springframework.ai:spring-ai-starter-model-google-genai
Use the release-specific dependency management and setup instructions for your project rather than assuming this coordinate or the properties below are unchanged in another release. In the 1.1 reference, connection properties are under spring.ai.google.genai:
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spring.ai.google.genai.api-keyfor Gemini Developer API access.spring.ai.google.genai.project-idandspring.ai.google.genai.locationfor Vertex AI.spring.ai.google.genai.credentials-urifor a Google Cloud credentials URI.spring.ai.model.chatas the top-level switch for enabling the Google GenAI chat model.
The reference places chat model options under spring.ai.google.genai.chat.options.*, including model selection and temperature. For request-specific settings, it demonstrates GoogleGenAiChatOptions. Consult the matching release documentation for accepted option names and values.
Use manual configuration when auto-configuration is not the fit
The Spring AI 1.1 page also documents a manual route using GoogleGenAiChatModel and the Google GenAI Client. This gives an application a way to construct the provider integration directly instead of relying on the starter’s auto-configuration. Follow the API and client setup documented for the exact Spring AI version in use.
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What the integration documents
Spring AI’s current chat comparison page, which identifies Spring AI 2.0.1, lists the following Google GenAI support. These are framework documentation claims about integration capabilities, not independent tests of Gemini quality, latency, or performance.
| Capability | Google GenAI in Spring AI comparison |
|---|---|
| Input modalities | Text, PDF, image, audio, and video |
| Tools/functions | Supported |
| Streaming | Supported |
| Retry and observability | Supported |
| Built-in JSON | Supported |
| Local deployment | Unsupported |
| OpenAI API compatibility | Unsupported |
The table reflects the current comparison page, not necessarily every older integration release. Verify capabilities against both the version of Spring AI you deploy and the model or service you select.
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Work with Spring AI’s chat abstraction
Spring AI presents its model API as a portable abstraction across providers and describes ChatClient as a fluent API for communicating with a model. That can make common application code less dependent on one provider, while provider-specific options remain available when an application needs Google GenAI settings. Spring AI’s broader APIs also include tool calling, advisors, MCP integration, and vector-store APIs; their availability in the framework does not mean every feature is configured identically across providers.
Mind the version and model changes
The Google GenAI integration details cited here come from the Spring AI 1.1 reference, while the current general API and chat comparison pages identify Spring AI 2.0.1. The 1.1 page’s model examples are older than the current general references’ context. Do not copy a model identifier, starter coordinate, or property from one version into another without checking the version-matched Google GenAI page. Also verify Google’s current model availability separately; model names and capabilities can change.
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For a migration or new implementation, check the exact Spring AI dependency version, its Google GenAI reference, the selected Gemini model, and the relevant service and location before relying on configuration or capability details.
Quick Recap
Official references
- Spring AI 1.1 Google GenAI Chat reference
- Spring AI chat model comparison
- Spring AI ChatClient reference
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