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use crate::{
agent::AgentBuilder,
embeddings::{self},
extractor::ExtractorBuilder,
Embed,
};
use schemars::JsonSchema;
use serde::{Deserialize, Serialize};
use super::{
completion::CompletionModel, embedding::EmbeddingModel, transcription::TranscriptionModel,
};
// ================================================================
// Google Gemini Client
// ================================================================
const GEMINI_API_BASE_URL: &str = "https://generativelanguage.googleapis.com";
#[derive(Clone)]
pub struct Client {
base_url: String,
api_key: String,
http_client: reqwest::Client,
}
impl Client {
pub fn new(api_key: &str) -> Self {
Self::from_url(api_key, GEMINI_API_BASE_URL)
}
pub fn from_url(api_key: &str, base_url: &str) -> Self {
Self {
base_url: base_url.to_string(),
api_key: api_key.to_string(),
http_client: reqwest::Client::builder()
.default_headers({
let mut headers = reqwest::header::HeaderMap::new();
headers.insert(
reqwest::header::CONTENT_TYPE,
"application/json".parse().unwrap(),
);
headers
})
.build()
.expect("Gemini reqwest client should build"),
}
}
/// Create a new Google Gemini client from the `GEMINI_API_KEY` environment variable.
/// Panics if the environment variable is not set.
pub fn from_env() -> Self {
let api_key = std::env::var("GEMINI_API_KEY").expect("GEMINI_API_KEY not set");
Self::new(&api_key)
}
pub fn post(&self, path: &str) -> reqwest::RequestBuilder {
let url = format!("{}/{}?key={}", self.base_url, path, self.api_key).replace("//", "/");
tracing::debug!("POST {}/{}?key={}", self.base_url, path, "****");
self.http_client.post(url)
}
pub fn post_sse(&self, path: &str) -> reqwest::RequestBuilder {
let url =
format!("{}/{}?alt=sse&key={}", self.base_url, path, self.api_key).replace("//", "/");
tracing::debug!("POST {}/{}?alt=sse&key={}", self.base_url, path, "****");
self.http_client.post(url)
}
/// Create an embedding model with the given name.
/// Note: default embedding dimension of 0 will be used if model is not known.
/// If this is the case, it's better to use function `embedding_model_with_ndims`
///
/// # Example
/// ```
/// use rig::providers::gemini::{Client, self};
///
/// // Initialize the Google Gemini client
/// let gemini = Client::new("your-google-gemini-api-key");
///
/// let embedding_model = gemini.embedding_model(gemini::embedding::EMBEDDING_GECKO_001);
/// ```
pub fn embedding_model(&self, model: &str) -> EmbeddingModel {
EmbeddingModel::new(self.clone(), model, None)
}
/// Create an embedding model with the given name and the number of dimensions in the embedding generated by the model.
///
/// # Example
/// ```
/// use rig::providers::gemini::{Client, self};
///
/// // Initialize the Google Gemini client
/// let gemini = Client::new("your-google-gemini-api-key");
///
/// let embedding_model = gemini.embedding_model_with_ndims("model-unknown-to-rig", 1024);
/// ```
pub fn embedding_model_with_ndims(&self, model: &str, ndims: usize) -> EmbeddingModel {
EmbeddingModel::new(self.clone(), model, Some(ndims))
}
/// Create an embedding builder with the given embedding model.
///
/// # Example
/// ```
/// use rig::providers::gemini::{Client, self};
///
/// // Initialize the Google Gemini client
/// let gemini = Client::new("your-google-gemini-api-key");
///
/// let embeddings = gemini.embeddings(gemini::embedding::EMBEDDING_GECKO_001)
/// .simple_document("doc0", "Hello, world!")
/// .simple_document("doc1", "Goodbye, world!")
/// .build()
/// .await
/// .expect("Failed to embed documents");
/// ```
pub fn embeddings<D: Embed>(
&self,
model: &str,
) -> embeddings::EmbeddingsBuilder<EmbeddingModel, D> {
embeddings::EmbeddingsBuilder::new(self.embedding_model(model))
}
/// Create a completion model with the given name.
/// Gemini-specific parameters can be set using the [GenerationConfig](crate::providers::gemini::completion::gemini_api_types::GenerationConfig) struct.
/// [Gemini API Reference](https://ai.google.dev/api/generate-content#generationconfig)
pub fn completion_model(&self, model: &str) -> CompletionModel {
CompletionModel::new(self.clone(), model)
}
/// Create a transcription model with the given name.
/// Gemini-specific parameters can be set using the [GenerationConfig](crate::providers::gemini::completion::gemini_api_types::GenerationConfig) struct.
/// [Gemini API Reference](https://ai.google.dev/api/generate-content#generationconfig)
pub fn transcription_model(&self, model: &str) -> TranscriptionModel {
TranscriptionModel::new(self.clone(), model)
}
/// Create an agent builder with the given completion model.
/// Gemini-specific parameters can be set using the [GenerationConfig](crate::providers::gemini::completion::gemini_api_types::GenerationConfig) struct.
/// [Gemini API Reference](https://ai.google.dev/api/generate-content#generationconfig)
/// # Example
/// ```
/// use rig::providers::gemini::{Client, self};
///
/// // Initialize the Google Gemini client
/// let gemini = Client::new("your-google-gemini-api-key");
///
/// let agent = gemini.agent(gemini::completion::GEMINI_1_5_PRO)
/// .preamble("You are comedian AI with a mission to make people laugh.")
/// .temperature(0.0)
/// .build();
/// ```
pub fn agent(&self, model: &str) -> AgentBuilder<CompletionModel> {
AgentBuilder::new(self.completion_model(model))
}
/// Create an extractor builder with the given completion model.
pub fn extractor<T: JsonSchema + for<'a> Deserialize<'a> + Serialize + Send + Sync>(
&self,
model: &str,
) -> ExtractorBuilder<T, CompletionModel> {
ExtractorBuilder::new(self.completion_model(model))
}
}
#[derive(Debug, Deserialize)]
pub struct ApiErrorResponse {
pub message: String,
}
#[derive(Debug, Deserialize)]
#[serde(untagged)]
pub enum ApiResponse<T> {
Ok(T),
Err(ApiErrorResponse),
}