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        ▀█  █ █ █ █ ▌▀                                                 www.naptha.ai
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Naptha Python SDK

Naptha enables users to build decentralized multi-agent workflows. Decentralized workflows can run on one or more nodes (rather than on one central server), with different LLMs, and with many local data sources, opening up new use cases for AI devs.

Here's Yohei (creator of BabyAGI) admitting that BabyAGI isn't a true multi-agent system since the agents use the same LLM and code base. You can watch a demo video where we run BabyAGI as a true multi-agent system here.

Pre-requisites

Install Python Poetry:

pipx install poetry

Install

From source:

git clone https://github.com/NapthaAI/naptha-sdk.git
cd naptha-sdk
poetry install
poetry shell

Create a copy of the .env file:

cp .env.example .env

Choose whether you want to interact with a local Naptha node or a hosted Naptha node. For a local node, set NODE_URL=http://localhost:7001 in the .env file. To use a hosted node, set NODE_URL=http://node.naptha.ai:7001 or NODE_URL=http://node1.naptha.ai:7001.

Get Started

Sign In or Sign Up

If you have already created an account on the Naptha Hub, you can add the details to HUB_USER, HUB_PASSWORD and PRIVATE_KEY in the .env file. If you don't have an account, you can either (a) add values for HUB_USER, HUB_PASSWORD and PRIVATE_KEY in the .env file and run naptha signup, or (b) run naptha signup without values in the .env file and follow the instructions to create a username and password (in this case, the public/private keypair is randomly generated, and all details will be saved in the .env file).

Nodes

Explore Nodes on the Network

You can use the CLI to see a list of available nodes:

naptha nodes

Make note of a Node ID for running a workflow below.

Agents

Interact with the Agent Hub

You can also use the CLI to explore available agents that you can run on a node:

naptha agents

For each agent, you will see a url where you can check out the code.

Create a New Agent

naptha agents agent_name -p "description='Agent description' url='ipfs://QmNer9SRKmJPv4Ae3vdVYo6eFjPcyJ8uZ2rRSYd3koT6jg' type='package' version='0.1'" 

Delete an Agent

naptha agents -d agent_name

Run an Agent

Now you've found a node and a agent you'd like to run, so let's run it locally! You can use the commandline tool to connect with the node and run the workflow.

# usage: naptha run <agent_name> <agent args>
naptha run agent:hello_world_agent -p "firstname=sam surname=altman"

Try an agent that uses the local LLM running on your node:

naptha run agent:simple_chat_agent -p "tool_name='chat' tool_input_data='what is an ai agent?'"

You can also run agents from docker images (if running your own node, make sure the DOCKER_JOBS=True in the config):

naptha run docker_hello_world -p "docker_image=hello-world"

Agent Orchestrators

Interact with the Agent Orchestrator Hub

You can also use the CLI to explore available agent orchestrators that you can run on a network of nodes:

naptha orchestrators

For each orchestrator, you will see a url where you can check out the code.

Create a New Agent Orchestrator

naptha orchestrators orchestrator_name -p "description='Orchestrator description' url='ipfs://QmNer9SRKmJPv4Ae3vdVYo6eFjPcyJ8uZ2rRSYd3koT6jg' type='package' version='0.1'" 

Delete an Agent Orchestrator

naptha orchestrators -d orchestrator_name

Run an Agent Orchestrator across a network of Nodes

naptha run orchestrator:multiagent_chat -p "prompt='i would like to count up to ten, one number at a time. ill start. one.'" --worker_nodes "http://node.naptha.ai:7001,http://node1.naptha.ai:7001" --environment_nodes "postgresql://naptha:naptha@localhost:3002/naptha"

naptha run orchestrator:babyagi -p "objective='Research the history of football'" --worker_nodes "http://node.naptha.ai:7001,http://node1.naptha.ai:7001"

naptha run orchestrator:multiagent_debate -p "initial_claim='Teslas price will exceed $250 in 2 weeks.' max_rounds=2 context='Teslas current price is $207, and recent innovations and strong Q2 results will drive the price up.

News Summary 1:
Tesla stock was lower to start a new week of trading, falling as investors worry about global growth. Shares of the electric-vehicle giant were down 7.3% in premarket trading Monday at $192.33. Stocks around the world were falling as investors fretted that weak economic data signal a recession ahead. Despite positive comments from CEO Elon Musk about Tesla’s sales, the stock has fallen about 16% this year and is struggling to overcome negative global investor sentiment.

News Summary 2:
Tesla faces growing competition and softening demand, impacting its stock price which is trading 43% below its all-time high. The company’s profitability is declining, with earnings per share shrinking 46% year-over-year in Q2 2024. Despite recent price cuts and a plan to produce a low-cost EV model, sales growth has decelerated. Tesla is also involved in autonomous self-driving software, humanoid robots, and solar energy, but these segments may take years to significantly impact revenue.
'" --worker_nodes "http://node.naptha.ai:7001"

Environment Modules

Environment modules in Naptha provide shared state and communication infrastructure for multi-agent workflows. They act as a common space where agents can interact, share information, and maintain persistent state across workflow executions. Think of them as the "world" or "environment" in which agents operate and communicate.

For example, an environment module might:

• Maintain a shared conversation history for a group chat
• Store and manage a knowledge base that multiple agents can read from and write to
• Provide a shared task queue for coordinating work between agents
• Manage game state for multi-agent simulations

Interact with the Environment Hub

You can also use the CLI to explore available environments that you can use with orchestrators:

naptha environments

Create a New Environment Module

naptha environments environment_name -p "description='Environment description' url='ipfs://QmNer9SRKmJPv4Ae3vdVYo6eFjPcyJ8uZ2rRSYd3koT6jg' type='package' version='0.1' entrypoint='run.py'" 

Delete an Environment Module

naptha environments -d environment_name

Run an Environment Module

naptha run environment:groupchat_environment -p "function_name='get_global_state'"

Personas

Interact with the Persona Hub

You can also use the CLI to explore available personas that you can use with agents:

naptha personas

For each persona, you will see a url where you can check out the data.

Create a New Persona

naptha personas persona_name -p "description='Persona description' url='ipfs://QmNer9SRKmJPv4Ae3vdVYo6eFjPcyJ8uZ2rRSYd3koT6jg' version='0.1'" 

Delete a Persona

naptha personas -d persona_name

Interact with Node Storage

After the agent runs finish, you can download the file from the node using:

naptha read_storage -id <agent_run_id>

You can write to the node using:

naptha write_storage -i files/<filename>.jpg

Interact with IPFS thorugh Node

naptha write_storage -i files/<filename>.jpg --ipfs

More examples and tutorials coming soon.

Create your own Agent

Clone the base template for creating agent and flow agents, and follow the instructions in the readme for prototyping the agent. You can check out other examples of agents and networks at https://github.com/NapthaAI.

Register your agent on the Naptha Hub (Coming Soon).

Run a Node

You can run your own Naptha node, and earn rewards for running workflows. Follow the instructions at https://github.com/NapthaAI/node (still private, please reach out if you'd like access).

Community

Links

• Check out our Website
• Contribute to our GitHub
• Request to join the Naptha community on HuggingFace
• Follow us on Twitter and Farcaster
• Subscribe to our YouTube

Bounties and Microgrants

Have an idea for a cool use case to build with our SDK? Get in touch at [email protected].