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GeminiLlmParams

gemini_adk_rs::llm::gemini

Struct GeminiLlmParams 

Source 
pub struct GeminiLlmParams {
    pub model: Option<String>,
    pub api_key: Option<String>,
    pub vertexai: Option<bool>,
    pub project: Option<String>,
    pub location: Option<String>,
    pub headers: Option<HashMap<String, String>>,
    pub token_provider: Option<Arc<dyn TokenProvider>>,
    pub base_url: Option<String>,
}
Expand description

Parameters for constructing a GeminiLlm.

Fields§

§model: Option<String>

Model name. Defaults to the GEMINI_MODEL env var if set, else gemini-flash-latest on Google AI (a rolling alias the catalog keeps serving) or gemini-2.5-flash on Vertex AI.

§api_key: Option<String>

API key for Gemini API (non-Vertex).

§vertexai: Option<bool>

Whether to use Vertex AI backend.

§project: Option<String>

Google Cloud project ID (Vertex AI only).

§location: Option<String>

Google Cloud region (Vertex AI only, defaults to “us-central1”).

§headers: Option<HashMap<String, String>>

Custom HTTP headers for requests.

§token_provider: Option<Arc<dyn TokenProvider>>

Custom token provider for VertexAI. Defaults to reading GOOGLE_ACCESS_TOKEN env var.

§base_url: Option<String>

Scheme, host and port to send requests to instead of the platform’s, such as a gateway or a local stand-in (see Client::base_url).

Trait Implementations§

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impl Default for GeminiLlmParams

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fn default() -> GeminiLlmParams

Returns the “default value” for a type. Read more

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