Find a Local Map

Overview

This is a description of one of the six use cases for the AI Search Engine—retrieving a Google Maps link, a small picture of the map and coordinates of the requested place based on information from the internet.

An output example:

{
  "link": "https://www.google.com/maps/place/San+Francisco,+CA/data=!4m2!3m1!1s0x80859a6d00690021:0x4a501367f076adff?sa=X&ved=2ahUKEwjqg7eNz9KLAxVCFFkFHWSPEeIQ8gF6BAgqEAA&hl=en",
  "image": "https://dmwtgq8yidg0m.cloudfront.net/images/TdNFUpcEvvHL-local-map.webp"
}

The output will be the requested information retrieved from the internet—or empty brackets {} if nothing was found or if the entered query does not match the selected search type (for example, entering something like "wofujwofifwuowijufi").

How to make a call

Check how this call is made in the example below.

Note that queries can include advanced search syntax:

• Search for an exact match: Enter a word or phrase using \" before and after it. For example, \"tallest building\".

• Search for a specific site: Enter site: in front of a site or domain. For example, site:youtube.com cat videos.

• Exclude words from your search: Enter - in front of a word that you want to leave out. For example, jaguar speed -car.

API Schema

get

Authorizations

Query parameters

followup_idstringRequired

Responses

default

application/json

get

HTTPcURLJavaScriptPython

GET /v1/bagoodex/local-map HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Accept: */*

default

{
  "link": "text",
  "image": "https://example.com",
  "gps_coordinates": {
    "latitude": 1,
    "longitude": 1
  }
}

Example

First, the standard chat completion endpoint with your query is called. It returns an ID, which must then be passed as the sole input parameter followup_id to the specific second endpoint:

import requests
from openai import OpenAI

# Insert your AIML API Key instead of <YOUR_API_KEY>:
API_KEY = '<YOUR_API_KEY>'
API_URL = 'https://api.aimlapi.com'

# Call the standart chat completion endpoint to get an ID
def complete_chat():
    client = OpenAI(
        base_url=API_URL,
        api_key=API_KEY,
    )    

    response = client.chat.completions.create(
        model="bagoodex/bagoodex-search-v1",
        messages=[
            {
                "role": "user",
                "content": "where is san francisco",
            },
        ],
    )
    
    # Extract the ID from the response
    gen_id = response.id  
    print(f"Generated ID: {gen_id}")
    
    # Call the second endpoint with the generated ID
    get_local_map(gen_id)

def get_local_map(gen_id):
    params = {'followup_id': gen_id}
    headers = {'Authorization': f'Bearer {API_KEY}'}
    response = requests.get(f'{API_URL}/v1/bagoodex/local-map', headers=headers, params=params)
    
    print(response.json())

# Run the function
complete_chat()

Model Response:

{
  "link": "https://www.google.com/maps/place/San+Francisco,+CA/data=!4m2!3m1!1s0x80859a6d00690021:0x4a501367f076adff?sa=X&ved=2ahUKEwjqg7eNz9KLAxVCFFkFHWSPEeIQ8gF6BAgqEAA&hl=en",
  "image": "https://dmwtgq8yidg0m.cloudfront.net/images/TdNFUpcEvvHL-local-map.webp"
}