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 'owtjtwjtwjtwojo' instead of a valid subject).
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
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": "site:www.reddit.com AI",
},
],
)
# 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_links(gen_id)
def get_links(gen_id):
params = {'followup_id': gen_id}
headers = {'Authorization': f'Bearer {API_KEY}'}
response = requests.get(f'{API_URL}/v1/bagoodex/links', headers=headers, params=params)
print(response.json())
# Run the function
complete_chat()