Struct GeminiModel 

pub struct GeminiModel { /* private fields */ }

Available on crate feature gemini only.

Google AI / Vertex AI model.

Implementations

impl GoogleModel

pub fn new( model_name: impl Into<String>, api_key: impl Into<String>, ) -> GoogleModel

Create a new Google AI model (uses API key).

pub fn vertex( model_name: impl Into<String>, project_id: impl Into<String>, location: impl Into<String>, ) -> GoogleModel

Create a Vertex AI model (uses project/location).

pub fn with_base_url(self, url: impl Into<String>) -> GoogleModel

Set the base URL.

pub fn with_client(self, client: Client) -> GoogleModel

Set a custom HTTP client.

pub fn with_timeout(self, timeout: Duration) -> GoogleModel

Set the default timeout.

pub fn with_profile(self, profile: ModelProfile) -> GoogleModel

Set a custom profile.

pub fn with_thinking(self, budget: Option<u64>) -> GoogleModel

Enable thinking mode (for Flash Thinking models).

pub fn with_code_execution(self) -> GoogleModel

Enable code execution.

pub fn with_search(self) -> GoogleModel

Enable Google Search grounding.

pub fn add_response_to_contents( &self, contents: &mut Vec<Content>, response: &ModelResponse, )

Add a model response to contents (for multi-turn).

Trait Implementations

impl Clone for GoogleModel

fn clone(&self) -> GoogleModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GoogleModel

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

Formats the value using the given formatter.

impl Model for GoogleModel

fn name(&self) -> &str

Get the model name.

fn system(&self) -> &str

Get the model system/provider (openai, anthropic, etc).

fn profile(&self) -> &ModelProfile

Get the model profile (capabilities, schema transforms).

fn request<'life0, 'life1, 'life2, 'life3, 'async_trait>( &'life0 self, messages: &'life1 [ModelRequest], settings: &'life2 ModelSettings, params: &'life3 ModelRequestParameters, ) -> Pin<Box<dyn Future<Output = Result<ModelResponse, ModelError>> + Send + 'async_trait>>

where 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait, 'life3: 'async_trait, GoogleModel: 'async_trait,

Make a request to the model.

fn request_stream<'life0, 'life1, 'life2, 'life3, 'async_trait>( &'life0 self, messages: &'life1 [ModelRequest], settings: &'life2 ModelSettings, params: &'life3 ModelRequestParameters, ) -> Pin<Box<dyn Future<Output = Result<Pin<Box<dyn Stream<Item = Result<ModelResponseStreamEvent, ModelError>> + Send>>, ModelError>> + Send + 'async_trait>>

where 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait, 'life3: 'async_trait, GoogleModel: 'async_trait,

Make a streaming request to the model.

fn identifier(&self) -> String

Get the full model identifier.

fn count_tokens<'life0, 'life1, 'async_trait>( &'life0 self, _messages: &'life1 [ModelRequest], ) -> Pin<Box<dyn Future<Output = Result<u64, ModelError>> + Send + 'async_trait>>

where 'life0: 'async_trait, 'life1: 'async_trait, Self: 'async_trait,

Count tokens for messages (if supported).

fn supports(&self, capability: ModelCapability) -> bool

Check if the model supports a specific capability.