Parallel

Learn how to use Parallel with Composio

Overview

SLUG: PARALLEL

Description

Parallel offers a Task API for automated, structured web research, transforming natural language queries into precise, schema-compliant outputs.

Authentication Details

generic_api_key
stringRequired

Connecting to Parallel

Create an auth config

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

1

Select App

Navigate to Parallel.

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

Tools

Executing tools

To prototype you can execute some tools to see the responses and working on the Parallel 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=["PARALLEL"])
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: Create Task Group

Description

Tool to create a new task group. use when batching multiple tasks for parallel execution.

Action Parameters

config
object
description
string
displayName
stringRequired
taskTemplateIds
arrayRequired

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Retrieve Task Group

Description

Tool to retrieve details of a specific task group. use when you have a valid task group id and want to view its details.

Action Parameters

taskgroup_id
stringRequired

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Stream Task Group Events

Description

Tool to stream events for a task group. use when you want real-time updates of group status and run completions.

Action Parameters

last_event_id
string
taskgroup_id
stringRequired
timeout
integer

Action Response

data
objectRequired
error
string
successful
booleanRequired

Tool Name: Suggest Task

Description

Tool to suggest tasks based on user or project context. use when you need task specifications generated from intent after providing context.

Action Parameters

context
objectRequired
input
objectRequired
user_intent
stringRequired

Action Response

data
objectRequired
error
string
successful
booleanRequired