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▀█▄ █ █ █ █ █ ▄█▀ Orchestrating the Web of Agents
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Naptha is a framework and infrastructure for developing and running multi-agent systems across many devices. The Naptha SDK is made up of:
- A client for interacting with the Naptha Hub (like the huggingface_hug library but for multi-agent apps)
- Abstractions for the composable building blocks of multi-agent apps like Agent, Orchestrator, Tool, Environment, Persona (i.e. Naptha Modules). With Naptha, communication between these modules happens via API.
- Decorators for easily onboarding modules from agent frameworks like CrewAI.
- A CLI for interacting with the Naptha Hub and Node
If you find this repo useful, please don't forget to star ⭐!
Install Python Poetry:
pipx install poetry
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
.
If you have already created an account on the Naptha Hub, you can add the details to HUB_USERNAME, HUB_PASSWORD and
PRIVATE_KEY in the .env file. If you don't have an account, you can either (a) add values for HUB_USERNAME, 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).
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.
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.
naptha agents agent_name -p "description='Agent description' parameters='{tool_name: str, tool_input_data: str}' url='ipfs://QmNer9SRKmJPv4Ae3vdVYo6eFjPcyJ8uZ2rRSYd3koT6jg' type='package' version='0.1'"
naptha agents -d agent_name
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"
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.
naptha orchestrators orchestrator_name -p "description='Orchestrator description' parameters='{input_parameter_1: str, input_parameter_2: int}' url='ipfs://QmNer9SRKmJPv4Ae3vdVYo6eFjPcyJ8uZ2rRSYd3koT6jg' type='package' version='0.1'"
naptha orchestrators -d orchestrator_name
You can download and install the modules for an orchestrator without running first using:
naptha create orchestrator:multiagent_chat --agent_modules "agent:simple_chat_agent,agent:simple_chat_agent" --worker_node_urls "http://node.naptha.ai:7001,http://node1.naptha.ai:7001" --environment_modules "environment:groupchat_environment" --environment_node_urls "http://node.naptha.ai:7001"
You can run the orchestrator module on hosted nodes using:
naptha run orchestrator:multiagent_chat -p "prompt='i would like to count up to ten, one number at a time. ill start. one.'" --worker_node_urls "http://node.naptha.ai:7001,http://node1.naptha.ai:7001" --environment_node_urls "http://node.naptha.ai"
Or on local 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_node_urls "http://localhost:7001,http://localhost:7001" --environment_node_urls "http://localhost:7001"
naptha run orchestrator:babyagi -p "objective='Research the history of football'" --worker_node_urls "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_node_urls "http://node.naptha.ai:7001"
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
You can also use the CLI to explore available environments that you can use with orchestrators:
naptha environments
naptha environments environment_name -p "description='Environment description' parameters='{input_parameter_1: str, input_parameter_2: int}' url='ipfs://QmNer9SRKmJPv4Ae3vdVYo6eFjPcyJ8uZ2rRSYd3koT6jg' type='package' version='0.1' entrypoint='run.py'"
naptha environments -d environment_name
naptha run environment:groupchat_environment -p "function_name='get_global_state'"
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.
naptha personas persona_name -p "description='Persona description' url='ipfs://QmNer9SRKmJPv4Ae3vdVYo6eFjPcyJ8uZ2rRSYd3koT6jg' version='0.1'"
naptha personas -d persona_name
naptha inference "How can we create scaling laws for multi-agent systems?" -m "phi3:mini"
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
naptha write_storage -i files/<filename>.jpg --ipfs
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).
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).
- 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
Have an idea for a cool use case to build with our SDK? Get in touch at [email protected].