curl -X POST "https://api.uniterouter.ai/v1beta/models/gemini-2.0-flash:generateContent" \
  -H "Content-Type: application/json" \
  -H "x-goog-api-key: $UNITEROUTER_API_KEY" \
  -d '{
    "contents": [
      {
        "role": "user",
        "parts": [{"text": "What are the latest developments in AI regulation?"}]
      }
    ],
    "tools": [
      {
        "googleSearch": {}
      }
    ]
  }'

import google.generativeai as genai

genai.configure(
    api_key="your_uniterouter_api_key",
    transport="rest",
    client_options={"api_endpoint": "api.uniterouter.ai"}
)

model = genai.GenerativeModel(
    "gemini-2.0-flash",
    tools=["google_search"]
)

response = model.generate_content(
    "What are the latest developments in AI regulation?"
)

print(response.text)

# Access grounding metadata
if response.candidates[0].grounding_metadata:
    for chunk in response.candidates[0].grounding_metadata.grounding_chunks:
        if chunk.web:
            print(f"Source: {chunk.web.title} - {chunk.web.uri}")

import { GoogleGenerativeAI } from "@google/generative-ai";

const genAI = new GoogleGenerativeAI("your_uniterouter_api_key", {
  baseUrl: "https://api.uniterouter.ai"
});

const model = genAI.getGenerativeModel({
  model: "gemini-2.0-flash",
  tools: [{ googleSearch: {} }]
});

const result = await model.generateContent(
  "What are the latest developments in AI regulation?"
);

console.log(result.response.text());

// Access grounding metadata
const metadata = result.response.candidates?.[0]?.groundingMetadata;
if (metadata?.groundingChunks) {
  for (const chunk of metadata.groundingChunks) {
    if (chunk.web) {
      console.log(`Source: ${chunk.web.title} - ${chunk.web.uri}`);
    }
  }
}