Providers
Google Gemini
Use Gemini API and Vertex AI models with Anvia.
Use @anvia/gemini for Gemini API and Vertex AI completion and embedding models.
Gemini API
import { AgentBuilder } from "@anvia/core";
import { GeminiClient } from "@anvia/gemini";
const client = new GeminiClient({ apiKey });
const model = client.completionModel("gemini-3.1-flash-lite-preview");
const agent = new AgentBuilder("support", model)
.instructions("Answer support questions clearly.")
.build();Vertex AI
const client = new GeminiClient({
vertexai: true,
project,
location,
});Anvia does not read Google environment variables. Pass values from your application configuration.
Embedding Model
const embeddings = client.embeddingModel("gemini-embedding-001", {
taskType: "RETRIEVAL_DOCUMENT",
dimensions: 768,
});Use embedding models for document preprocessing and retrieval.
Capabilities
| Capability | Example |
|---|---|
| Completion | client.completionModel("gemini-3.1-flash-lite-preview") |
| Embeddings | client.embeddingModel("gemini-embedding-001") |
| Vertex AI | new GeminiClient({ vertexai: true, project, location }) |
Gemini v1 support covers text completions, image and document input, tools, structured output, streaming, Gemini embeddings, and Vertex AI client construction.