This guide walk you through building an AI agent with function calling capability with ACI.dev

platform.aci.dev .
We’ll create a default project and default agent for you when you first log in to the platform.

Configure Your First App for Your AI Agent to Use

Configure Github in App Store

Navigate to App Store and find GITHUB . Then click on Configure App button to set up the app for your project.

Link your Github account

Navigate to App Configurations and find GITHUB App Configuration . Then click on Add Account button to link your Github account.

linked account owner id is the ID of the owner of the linked account. It’s up to you to decide which ID to use—it can be the unique end-user ID from your system. Or If you’re building an agent for yourself, you can choose any name you prefer. Later, you’ll need to provide this linked account owner id in your code to execute functions on behalf of the user.

Click Start OAuth2 Flow button to start the OAuth2 flow and link your Github account under the project.

Allow Your Agents to Access GITHUB

We took an opinionated approach to acommodate a multi-agent architecture. You can create multiple agents within the project, and each agent has its own API key and apps that they are allowed to use.
We created a default agent for you when you first log in to the platform.

Navigate to the project setting page: Manage Project . Then click the Edit button under ALLOWED APPS column of the agent to allow access to the GITHUB app.

Grab the API key

Each Agent is assigned an API key, which you can use to send requests to our platform—either via raw HTTP requests or our SDK. Later, you’ll need to include this API key in your code.

Code Example

The ACI Python SDK requires Python 3.10+. The example below uses uv for package installation, but you can use pip or any other package manager of your choice. The full example code is available at the end of this guide.

Initialize repo

bash

uv init

Install ACI Python SDK

Install the ACI Python SDK

bash

uv add aci-sdk

To run the example, you’ll also need to install other required packages.

bash

uv add openai python-dotenv

Provide the API key to the SDK

You’ll need both the ACI API key and the OpenAI API key to run the example in this section. Create a .env file in the root of your project and add the following:

.env

ACI_API_KEY=your_aci_api_key
OPENAI_API_KEY=your_openai_api_key

Create ACI Client and OpenAI Client

python 3.10+

from dotenv import load_dotenv
from aci import ACI
from openai import OpenAI

load_dotenv()

aci = ACI()
openai = OpenAI()

Get the Function Definition

python 3.10+

github_star_repo_function = aci.functions.get_definition("GITHUB__STAR_REPOSITORY")

Append the Function Definition to the LLM Request

python 3.10+

response = openai.chat.completions.create(
  model="gpt-4o-2024-08-06",
  messages=[
      {
          "role": "system",
          "content": "You are a helpful assistant with access to a variety of tools.",
      },
      {
          "role": "user",
          "content": "Star the aipotheosis-labs/aci githubrepository for me",
      },
  ],
  tools=[github_star_repo_function],
  tool_choice="required",  # force the model to generate a tool call for demo purposes
)

Handle the Tool Call Response and Execute the Function via ACI.dev

Replace <LINKED_ACCOUNT_OWNER_ID> with the linked account owner id you used when linking your Github account.

python 3.10+

tool_call = (
    response.choices[0].message.tool_calls[0]
    if response.choices[0].message.tool_calls
    else None
)

if tool_call:
    result = aci.handle_function_call(
        tool_call.function.name,
        json.loads(tool_call.function.arguments),
        linked_account_owner_id=<LINKED_ACCOUNT_OWNER_ID>
    )

Full Runnable Code

Here is the complete runnable code for the example above, you can copy and paste it into a file and run it.

Remember to provide api keys in the .env file.
Replace <LINKED_ACCOUNT_OWNER_ID> with the linked account owner id you used when linking your Github account.

python 3.10+

import json
from dotenv import load_dotenv
from openai import OpenAI
from aci import ACI
load_dotenv()

openai = OpenAI()
aci = ACI()

def main() -> None:
    # For a list of all supported apps and functions, please go to the platform.aci.dev
    print("Getting function definition for GITHUB__STAR_REPOSITORY")
    github_star_repo_function = aci.functions.get_definition("GITHUB__STAR_REPOSITORY")

    print("Sending request to OpenAI")
    response = openai.chat.completions.create(
        model="gpt-4o-2024-08-06",
        messages=[
            {
                "role": "system",
                "content": "You are a helpful assistant with access to a variety of tools.",
            },
            {
                "role": "user",
                "content": "Star the aipotheosis-labs/aci github repository for me",
            },
        ],
        tools=[github_star_repo_function],
        tool_choice="required",  # force the model to generate a tool call for demo purposes
    )
    tool_call = (
        response.choices[0].message.tool_calls[0]
        if response.choices[0].message.tool_calls
        else None
    )

    if tool_call:
        print("Handling function call")
        result = aci.handle_function_call(
            tool_call.function.name,
            json.loads(tool_call.function.arguments),
            linked_account_owner_id=<LINKED_ACCOUNT_OWNER_ID>,
        )
        print(result)


if __name__ == "__main__":
    main()

Advanced Usage

For more advanced usage, please refer to the examples in our ACI Agents Repository .

Introduction

Core Concepts

SDK

MCP Servers

Agent Playground

Advanced

Cookbooks

Quickstart

Configure Your First App for Your AI Agent to Use

Code Example

Advanced Usage

​Sign up to the Platform

​Configure Your First App for Your AI Agent to Use

​Code Example

​Advanced Usage

Sign up to the Platform

Configure Your First App for Your AI Agent to Use

Code Example

Advanced Usage