Python SDK
Install
pip install pqsafe-agent-payRequirements
- Python ≥ 3.10
pqcrypto(ML-DSA-65 implementation — installed automatically)
Quick example
from pqsafe_agent_pay import ( generate_key_pair, create_spend_envelope, create_signed_envelope, execute_agent_payment, submit_to_ledger, build_ledger_record,)from datetime import datetime, timedelta, timezone
# 1. Generate keypairpublic_key, secret_key = await generate_key_pair()
# 2. Create envelopeenvelope = create_spend_envelope( max_amount=50, currency="USD", allowed_rails=["airwallex"], allowed_recipients=["anthropic.com"], valid_until=datetime.now(timezone.utc) + timedelta(hours=1), agent_id="python-agent-v1",)
# 3. Signsigned = create_signed_envelope(envelope, secret_key)
# 4. Executeresult = await execute_agent_payment(signed, { "recipient": "anthropic.com/billing", "amount": 25, "memo": "API credits",})
# 5. Ledgerawait submit_to_ledger(build_ledger_record(signed, result))
print(f"Status: {result.status}")print(f"TX ID: {result.tx_id}")CrewAI integration
from crewai import Agent, Task, Crewfrom pqsafe_agent_pay.adapters.crewai import PQSafePaymentTool
payment_tool = PQSafePaymentTool( envelope=signed_envelope, allowed_recipients=["vendor@example.com"],)
agent = Agent( role="Procurement Agent", goal="Pay approved invoices", tools=[payment_tool], verbose=True,)LangChain integration
from langchain.agents import initialize_agent, AgentTypefrom langchain_openai import ChatOpenAIfrom pqsafe_agent_pay.adapters.langchain import PQSafePaymentTool
llm = ChatOpenAI(model="gpt-4o")tools = [PQSafePaymentTool(envelope=signed_envelope)]
agent = initialize_agent( tools=tools, llm=llm, agent=AgentType.OPENAI_FUNCTIONS, verbose=True,)
agent.run("Pay the Anthropic invoice for $25")Error handling
from pqsafe_agent_pay import PQSafeError
try: result = await execute_agent_payment(signed, request)except PQSafeError as e: print(f"Code: {e.code}") # e.g. 'ENVELOPE_EXPIRED' print(f"Message: {e.message}")Status
The Python SDK is in beta. Core payment flows are stable; adapter integrations are actively developed. Track progress at github.com/PQSafe/pqsafe.