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Project description
Library for Activating AI Agent Payments Using the Nevermined Protocol
Python SDK to interact with the Nevermined Payments Protocol
nevermined.io
Motivation
The evolution of AI-native commerce is inevitable, but the infrastructure to support it is currently lacking. Today, AI agents require seamless, automated payment systems for individual transactions. As demand grows, these agents will scale into swarms, transacting and operating autonomously.
Existing solutions are designed for human use with physical money. This does not reflect the new reality, where AI Agents need to make and receive payments quickly and efficiently, without the limitations of traditional payment systems.
Nevermined provides a solution that seamlessly evolves from single-agent needs to complex AI economies, eliminating friction and supporting a fully autonomous, composable future for AI-driven commerce.
What is the Nevermined Payments Library?
The Nevermined Payments Library is a Python SDK that allows AI Builders and Subscribers to make AI Agents available for querying and use by other agents or humans. It is designed to be used alongside the Nevermined protocol, which provides a decentralized infrastructure for managing AI agents and their interactions.
The Payments Library enables:
- Easy registration and discovery of AI agents and the payment plans required to access them. All agents registered in Nevermined expose their metadata in a generic way, making them searchable and discoverable for specific purposes.
- Flexible definition of pricing options and how AI agents can be queried. This is achieved through payment plans (based on time or credits) and consumption costs (fixed per request or dynamic). All of this can be defined by the AI builder or agent during the registration process.
- Subscribers (humans or other agents) to purchase credits that grant access to AI agent services. Payments can be made in crypto or fiat via Stripe integration. The protocol registers the payment and credits distribution settlement on-chain.
- Agents or users with access credits to query other AI agents. Nevermined authorizes only users with sufficient balance and keeps track of their credit usage.
Initialize the payments library
from payments_py import Payments, PaymentOptions
payments = Payments.get_instance(
PaymentOptions(nvm_api_key=nvm_api_key, environment="sandbox", app_id="your_app_id", version="1.0.0")
)
A2A Integration (Agents-to-Agents)
The Python SDK can both start an A2A server (FastAPI-based) and act as an A2A client.
What you need to expose an A2A agent with Nevermined
- Publish an Agent Card at
/.well-known/agent.jsondescribing the agent. - Declare
capabilities.streaming: trueif you supportmessage/streamandtasks/resubscribe. - Use HTTP auth via headers (e.g.,
Authorization: Bearer <token>), not inside JSON-RPC payloads. - Include a Nevermined payment extension in the Agent Card to enable authorization and credit burning per request.
- Ensure the Agent Card
urlmatches exactly the endpoint where your A2A server listens.
Nevermined payment extension in the Agent Card
Add the following structure to capabilities.extensions of your Agent Card:
{
"capabilities": {
"streaming": true,
"pushNotifications": true,
"extensions": [
{
"uri": "urn:nevermined:payment",
"description": "Dynamic cost per request",
"required": false,
"params": {
"paymentType": "dynamic",
"credits": 1,
"planId": "<planId>",
"agentId": "<agentId>"
}
}
]
},
"url": "https://your-agent.example.com/a2a/"
}
Important:
- The final streaming event of your agent should include
metadata.creditsUsedto allow Nevermined to burn credits. - The exact URL (including basePath) must match the registration in Nevermined, otherwise validation will fail.
Build a payment-enabled Agent Card
from payments_py import Payments, PaymentOptions
payments_builder = Payments({
"nvm_api_key": "<BUILDER_API_KEY>",
"environment": "sandbox",
})
base_agent_card = {
"name": "Py A2A Agent",
"description": "A2A test agent",
"capabilities": {
"streaming": True,
"pushNotifications": True,
"stateTransitionHistory": True,
},
"defaultInputModes": ["text"],
"defaultOutputModes": ["text"],
"skills": [],
"url": "https://your-agent.example.com/a2a/",
"version": "1.0.0",
}
from payments_py.a2a.agent_card import build_payment_agent_card
agent_card = build_payment_agent_card(base_agent_card, {
"paymentType": "dynamic",
"credits": 1,
"costDescription": "Dynamic cost per request",
"planId": "<planId>",
"agentId": "<agentId>",
})
Start an A2A server
from payments_py.a2a.server import PaymentsA2AServer
class DummyExecutor:
async def execute(self, ctx, event_queue):
event_queue.publish({
"kind": "status-update",
"taskId": ctx.taskId,
"contextId": ctx.userMessage.get("contextId"),
"status": {"state": "completed"},
"metadata": {"creditsUsed": 1},
"final": True,
})
event_queue.finished()
server = PaymentsA2AServer.start(
agent_card=agent_card,
executor=DummyExecutor(),
payments_service=payments_builder,
port=PORT,
base_path="/a2a/",
)
Use the A2A client
payments_subscriber = Payments({
"nvm_api_key": "<SUBSCRIBER_API_KEY>",
"environment": "sandbox",
})
client = payments_subscriber.a2a.get_client(
agent_base_url="https://your-agent.example.com/a2a/",
agent_id="<agentId>",
plan_id="<planId>",
)
# Send a simple request
result = await client.send_message({
"message": {"kind": "message", "role": "user", "messageId": "123", "parts": [{"kind": "text", "text": "Hello"}]}
})
# Stream events
async for event in client.send_message_stream({
"message": {"kind": "message", "role": "user", "messageId": "124", "parts": [{"kind": "text", "text": "Stream"}]}
}):
if event.get("result", {}).get("final"):
break
Plans helpers as static methods
You can build price and credits configurations through Payments.plans static helpers, mirroring payments_py/plans.py:
pc = payments_builder.plans.get_erc20_price_config(20, "0x...token...", payments_builder.account_address)
cc = payments_builder.plans.get_fixed_credits_config(100)
Typical API usage (Python)
from payments_py import Payments, PaymentOptions
from payments_py.common.types import PlanMetadata
payments = Payments.get_instance(
PaymentOptions(nvm_api_key="<KEY>", environment="sandbox")
)
# Create a plan
plan_metadata = PlanMetadata(name="My Plan")
price = payments.plans.get_erc20_price_config(20, "0x...token...", payments.account_address)
credits = payments.plans.get_fixed_credits_config(100)
plan_res = payments.plans.register_credits_plan(plan_metadata, price, credits)
plan_id = plan_res["planId"]
# Register an agent
agent_res = payments.agents.register_agent(
{"name": "My Agent"},
{"endpoints": [{"POST": "https://your-agent.example.com/a2a/"}]},
[plan_id],
)
agent_id = agent_res["agentId"]
# Order plan (optional - only needed for traditional credit-based access)
payments.plans.order_plan(plan_id)
# Get plan balance
balance = payments.plans.get_plan_balance(plan_id)
# Get x402 access token (for agent-to-agent authentication)
access = payments.x402.get_x402_access_token(plan_id, agent_id)
token = access["accessToken"]
Development
Setup
poetry install
poetry run pre-commit install
The second command wires a git hook (lives at .git/hooks/pre-commit) that runs black on staged Python files before every commit. CI enforces the same rules, so skipping the local hook just defers the failure to push time.
If you'd rather have pre-commit hooks wired automatically on every fresh clone of any repo, set up a global git template once on your machine:
pipx install pre-commit
git config --global init.templateDir ~/.git-template
pre-commit init-templatedir ~/.git-template
After that, git clone of any repo with a .pre-commit-config.yaml (this one, for instance) auto-installs its hooks — no per-repo pre-commit install step needed.
Running the formatter manually
poetry run black . # format everything
poetry run black --check . # CI-style check, no changes
Running tests
poetry install --extras "strands langchain" # install all optional extras
poetry run pytest -m "not slow" # full unit + integration suite
poetry run pytest tests/unit/x402/ # one directory
Custom CA bundle (self-signed-cert environments)
The SDK uses requests' default TLS verification against the system trust store. Public Nevermined backends (sandbox, live) serve real certs, so no configuration is needed.
If you're pointing the SDK at a dev environment that serves a self-signed certificate (e.g. a local Caddy with its own CA), export REQUESTS_CA_BUNDLE before running — requests reads it directly, no SDK change required:
export REQUESTS_CA_BUNDLE=/path/to/your-ca.pem
poetry run python your_script.py
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