ההקשר של כתובת ה-URL

from google import genai
from google.genai.types import Tool, GenerateContentConfig, HttpOptions, UrlContext

client = genai.Client(http_options=HttpOptions(api_version="v1"))
model_id = "gemini-3.5-flash"

url_context_tool = Tool(
    url_context = UrlContext
)

response = client.models.generate_content(
    model=model_id,
    contents="Compare recipes from YOUR_URL1 and YOUR_URL2",
    config=GenerateContentConfig(
        tools=[url_context_tool],
        response_modalities=["TEXT"],
    )
)

for each in response.candidates[0].content.parts:
    print(each.text)
# get URLs retrieved for context
print(response.candidates[0].url_context_metadata)

# Replace the `GOOGLE_CLOUD_PROJECT` and `GOOGLE_CLOUD_LOCATION` values
# with appropriate values for your project.
export GOOGLE_CLOUD_PROJECT=GOOGLE_CLOUD_PROJECT
export GOOGLE_CLOUD_LOCATION=global
export GOOGLE_GENAI_USE_ENTERPRISE=True

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({
  vertexai: true,
  project: process.env.GOOGLE_CLOUD_PROJECT,
  location: process.env.GOOGLE_CLOUD_LOCATION,
  apiVersion: 'v1',
});

async function main() {
  const response = await ai.models.generateContent({
    model: "gemini-3.5-flash",
    contents: [
        "Compare recipes from YOUR_URL1 and YOUR_URL2",
    ],
    config: {
      tools: [{urlContext: {}}],
    },
  });
  console.log(response.text);
  // To get URLs retrieved for context
  console.log(response.candidates[0].urlContextMetadata)
}

await main();

curl -X POST \
  -H "Authorization: Bearer $(gcloud auth print-access-token)" \
  -H "Content-Type: application/json" \
  https://aiplatform.googleapis.com/v1beta1/projects/GOOGLE_CLOUD_PROJECT/locations/global/publishers/google/models/gemini-3.5-flash:generateContent \
  -d '{
      "contents": [
          {
              "role": "user",
              "parts": [
                  {"text": "Compare recipes from YOUR_URL1 and YOUR_URL2"}
              ]
          }
      ],
      "tools": [
          {
              "url_context": {}
          }
      ]
  }' > result.json

cat result.json

from google import genai
from google.genai.types import Tool, GenerateContentConfig, HttpOptions, UrlContext, GoogleSearch

client = genai.Client(http_options=HttpOptions(api_version="v1beta1"))
model_id = "gemini-3.5-flash"

tools = []
tools.append(Tool(url_context=UrlContext))
tools.append(Tool(google_search=GoogleSearch))

response = client.models.generate_content(
    model=model_id,
    contents="Give me three day events schedule based on YOUR_URL. Also let me know what needs to taken care of considering weather and commute.",
    config=GenerateContentConfig(
        tools=tools,
        response_modalities=["TEXT"],
    )
)

for each in response.candidates[0].content.parts:
    print(each.text)
# get URLs retrieved for context
print(response.candidates[0].url_context_metadata)

# Replace the `GOOGLE_CLOUD_PROJECT` and `GOOGLE_CLOUD_LOCATION` values
# with appropriate values for your project.
export GOOGLE_CLOUD_PROJECT=GOOGLE_CLOUD_PROJECT
export GOOGLE_CLOUD_LOCATION=global
export GOOGLE_GENAI_USE_ENTERPRISE=True

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({
  vertexai: true,
  project: process.env.GOOGLE_CLOUD_PROJECT,
  location: process.env.GOOGLE_CLOUD_LOCATION,
  apiVersion: 'v1beta1',
});

async function main() {
  const response = await ai.models.generateContent({
    model: "gemini-3.5-flash",
    contents: [
        "Give me a three day event schedule based on YOUR_URL. Also let me know what needs to taken care of considering weather and commute.",
    ],
    config: {
      tools: [{urlContext: {}}, {googleSearch: {}}],
    },
  });
  console.log(response.text);
  // To get URLs retrieved for context
  console.log(response.candidates[0].urlContextMetadata)
}

await main();

curl -X POST \
  -H "Authorization: Bearer $(gcloud auth print-access-token)" \
  -H "Content-Type: application/json" \
  https://aiplatform.googleapis.com/v1beta1/projects/GOOGLE_CLOUD_PROJECT/locations/global/publishers/google/models/gemini-3.5-flash:generateContent \
  -d '{
      "contents": [
          {
              "role": "user",
              "parts": [
                  {"text": "Give me a three day event schedule based on YOUR_URL. Also let me know what needs to taken care of considering weather and commute."}
              ]
          }
      ],
      "tools": [
          {
              "url_context": {}
          },
          {
              "google_search": {}
          }
      ]
  }' > result.json

cat result.json