Linkup

Learn how to use Linkup with Composio

Overview

SLUG: LINKUP

Description

Search the Web for Relevant Results (RAG Use Case)

Authentication Details

generic_api_key
stringRequired

Connecting to Linkup

Create an auth config

Use the dashboard to create an auth config for the Linkup toolkit. This allows you to connect multiple Linkup accounts to Composio for agents to use.

1

Select App

Navigate to the Linkup toolkit page and click “Setup Integration”.

2

Configure Auth Config Settings

Select among the supported auth schemes of and configure them here.

3

Create and Get auth config ID

Click “Create Integration”. After creation, copy the displayed ID starting with ac_. This is your auth config ID. This is not a sensitive ID — you can save it in environment variables or a database. This ID will be used to create connections to the toolkit for a given user.

Connect Your Account

Using API Key

1from composio import Composio
2from composio.types import auth_scheme
3
4# Replace these with your actual values
5linkup_auth_config_id = "ac_YOUR_LINKUP_CONFIG_ID" # Auth config ID created above
6user_id = "0000-0000-0000" # UUID from database/app
7
8composio = Composio()
9
10def authenticate_toolkit(user_id: str, auth_config_id: str):
11 # Replace this with a method to retrieve an API key from the user.
12 # Or supply your own.
13 user_api_key = input("[!] Enter API key")
14
15 connection_request = composio.connected_accounts.initiate(
16 user_id=user_id,
17 auth_config_id=auth_config_id,
18 config={"auth_scheme": "API_KEY", "val": user_api_key}
19 )
20
21 # API Key authentication is immediate - no redirect needed
22 print(f"Successfully connected Linkup for user {user_id}")
23 print(f"Connection status: {connection_request.status}")
24
25 return connection_request.id
26
27
28connection_id = authenticate_toolkit(user_id, linkup_auth_config_id)
29
30# You can verify the connection using:
31connected_account = composio.connected_accounts.get(connection_id)
32print(f"Connected account: {connected_account}")

Tools

Executing tools

To prototype you can execute some tools to see the responses and working on the Linkup toolkit’s playground

Python
1from composio import Composio
2from openai import OpenAI
3import json
4
5openai = OpenAI()
6composio = Composio()
7
8# User ID must be a valid UUID format
9user_id = "0000-0000-0000" # Replace with actual user UUID from your database
10
11tools = composio.tools.get(user_id=user_id, toolkits=["LINKUP"])
12
13print("[!] Tools:")
14print(json.dumps(tools))
15
16def invoke_llm(task = "What can you do?"):
17 completion = openai.chat.completions.create(
18 model="gpt-4o",
19 messages=[
20 {
21 "role": "user",
22 "content": task, # Your task here!
23 },
24 ],
25 tools=tools,
26 )
27
28 # Handle Result from tool call
29 result = composio.provider.handle_tool_calls(user_id=user_id, response=completion)
30 print(f"[!] Completion: {completion}")
31 print(f"[!] Tool call result: {result}")
32
33invoke_llm()

Tool List

Tool Name: Get Natural Language Answer

Description

This tool gets a natural language answer to a given question using linkup's api. it processes the question with provided parameters (query and depth) and returns a structured answer with text and sources used. it supports varying precision based on defined depth and is designed for natural language query responses.

Action Parameters

depth
stringDefaults to standard
query
stringRequired

Action Response

data
objectRequired
error
string
successful
booleanRequired