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Low code framework to build and launch a crew of AI agents with shared state. Built with https://axllm.dev.

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AxCrew - A Crew of AI Agents (built with AxLLM)

This repo simplifies development of AxLLM AI Agents by using config to instantiate agents. This means you can write a library of functions, and quickly invoke AI agents to use them using a simple configuration file.

Features

  • Crew Configuration: Define a crew of agents in a YAML file. (see agent_config.example.yaml)
  • State Management: Share state across agents in a crew, as well as with functions used by those agents.
  • Task Execution: Plan and execute tasks using agents in the crew.

Getting Started

Installation

Install this package:

npm install @amitdeshmukh/ax-crew

AxLLM is a peer dependency, so you will need to install it separately.

Note: We currently support AxLLM version 9.0.23. We're working on supporting the latest version of AxLLM.

npm install @ax-llm/[email protected]

Environment Setup

Refer to the .env.example file for the required environment variables. These will need to be set in the environment where the agents are run.

Usage

Initializing a Crew

A Crew is a team of agents that work together to achieve a common goal. The configuration file for a crew is a YAML file that defines the agents in the crew, along with their individual configurations.

See agent_config.example.yaml for an example.

To initialize a crew of agents, pass a config file to the AxCrew constructor.

// Import the AxCrew class
import { AxCrew } from '@amitdeshmukh/ax-crew';

// Create a new instance of AxCrew
const configFilePath = './agent_config.example.yaml';
const crew = new AxCrew(configFilePath);

Function Registry

Functions (aka Tools) are the building blocks of agents. They are used to perform specific tasks, such as calling external APIs, databases, or other services.

The FunctionRegistry is a central place where all the functions that agents can use are registered. This allows for easy access and management of functions across different agents in the crew.

To use the FunctionRegistry, you need to either:

  • import and use the built-in functions from the @amitdeshmukh/ax-crew package, or
  • bring your own functions before initializing AxCrew.

Here's an example of how to set up the FunctionRegistry with built-in functions:

import { AxCrewFunctions } from '@amitdeshmukh/ax-crew';
const crew = new AxCrew(configFilePath, AxCrewFunctions);

if you want to bring your own functions, you can do so by creating a new instance of FunctionRegistry and passing it to the AxCrew constructor.

import { FunctionRegistryType } from '@amitdeshmukh/ax-crew';

const myFunctions: FunctionRegistryType = {
  GoogleSearch: googleSearchInstance.toFunction()
};

const crew = new AxCrew(configFilePath, myFunctions);

Adding Agents to the Crew

You can add a sub-set of available agents from the config file to the crew by passing their names as an array to the addAgentsToCrew method.

Ensure that:

  • agents are defined in the configuration file before adding them to the crew.
  • agents added in the right order (an error will be thrown if an agent is added before its dependent agents).

For example, the Manager agent in the configuration file depends on the Planner and Calculator agents. So the Planner and Calculator agents must be added to the crew before the Manager agent can be added.

Agents can be configured with any functions from the FunctionRegistry available to the crew.

// Add agents by providing their names
const agentNames = ['Planner', 'Calculator', 'Manager'];
const agents = crew.addAgentsToCrew(agentNames);

// Get agent instances
const Planner = agents.get("Planner");
const Manager = agents.get("Manager");

State Management

The StatefulAxAgent class in src/agents/index.js allows for shared state functionality across agents. Sub-agents can be added to an agent to create complex behaviors. All agents in the crew have access to the shared state. State can also be shared with functions that are passed to the agents. To do this, pass the state object as an argument to the function class as shown here https://axllm.dev/guides/functions-1/

// Set some state (key/value) for this crew
crew.state.set('name', 'Crew1');
crew.state.set('location', 'Earth');

// Get the state for the crew
crew.state.get('name'); // 'Crew1'
crew.state.getAll(); // { name: 'Crew1', location: 'Earth' }

State can also be set/get by individual agents in the crew. This state is shared with all agents. It is also passed to any functions expressed as a class in FunctionsRegistry.

Planner.state.set('plan', 'Fly to Mars'); 
console.log(Manager.state.getAll()); // { name: 'Crew1', location: 'Earth', plan: 'Fly to Mars' }

Example Agent task

An example of how to complete a task using the agents is shown below. The Planner agent is used to plan the task, and the Manager agent is used to execute the task.

import { AxCrew, AxCrewFunctions } from '@amitdeshmukh/ax-crew';

// Create a new instance of AxCrew
const crew = new AxCrew('./agent_config.example.yaml', AxCrewFunctions);
crew.addAgentsToCrew(['Planner', 'Calculator', 'Manager']);

// Get agent instances
const Planner = crew.agents.get("Planner");
const Manager = crew.agents.get("Manager");

// User query
const userQuery = "whats the square root of the number of days between now and Christmas";

console.log(`\n\nQuestion: ${userQuery}`);

// Forward the user query to the agents
const planResponse = await Planner.forward({ task: userQuery });
const managerResponse = await Manager.forward({ question: userQuery, plan: planResponse.plan });

// Get and print the plan and answer from the agents
const plan = planResponse.plan;
const answer = managerResponse.answer;

console.log(`\n\nPlan: ${plan}`);
console.log(`\n\nAnswer: ${answer}`);

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Low code framework to build and launch a crew of AI agents with shared state. Built with https://axllm.dev.

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