Struct AiService 

pub struct AiService { /* private fields */ }

Implementations

impl AiService

pub fn app(&self) -> &FirebaseApp

Returns the Firebase app associated with this AI service.

pub fn backend(&self) -> &Backend

Returns the backend configuration used by this AI service.

pub fn backend_type(&self) -> BackendType

Returns the backend type tag.

pub fn location(&self) -> Option<&str>

Returns the Vertex AI location when using that backend.

pub fn options(&self) -> AiRuntimeOptions

Returns the runtime options currently applied to this AI service.

pub async fn prepare_generate_content_request( &self, model: &str, body: Value, request_options: Option<RequestOptions>, ) -> AiResult<PreparedRequest>

Prepares a REST request for a generateContent call without executing it.

This mirrors the behaviour of constructRequest in the TypeScript SDK and allows advanced callers to integrate with custom HTTP stacks while the SDK handles URL/header generation.

pub async fn generate_text( &self, request: GenerateTextRequest, ) -> AiResult<GenerateTextResponse>

Generates text using the configured backend.

This issues a generateContent REST call against the active backend, attaching auth and App Check credentials when available. The optional RequestOptions can override the base URL or timeout, which is primarily intended for tests and emulator scenarios.

Examples

let response = ai
    .generate_text(GenerateTextRequest {
        prompt: "Hello Gemini".to_owned(),
        model: None,
        request_options: None,
    })
    .await?;

Trait Implementations

impl Clone for AiService

fn clone(&self) -> AiService

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for AiService

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.