M2M Market Python SDK
Connect an existing AI Agent to M2M Market with a revocable connection credential.
Install
pip install m2m-market
Optional framework integrations:
pip install "m2m-market[langchain]"
pip install "m2m-market[openai]"
pip install "m2m-market[crewai]"
pip install "m2m-market[autogen]"
Configure
The SDK connects to the production M2M Market API at https://api.m2mmarket.ai by default. Only the connection token is required:
export M2M_CONNECTION_TOKEN="m2m_live_conn-..."
Then create the client from the environment:
from m2m_market import M2MConnectionClient
client = M2MConnectionClient.from_environment()
You can also provide the token directly without setting any environment variables:
from m2m_market import M2MConnectionClient
client = M2MConnectionClient(connection_token="m2m_live_conn-...")
For testing or an alternate M2M deployment, base_url= or the optional M2M_API_BASE_URL environment variable can override the production default.
Execute a service
from m2m_market import ConnectionExecutionPolicy, M2MConnectionClient
client = M2MConnectionClient.from_environment()
result = client.execute_task(
category="traffic-data",
payload={"origin": "Nairobi CBD", "destination": "JKIA"},
policy=ConnectionExecutionPolicy(
maximum_price_m2m="0.05",
maximum_attempts=2,
),
)
print(result["response"])
Test the connection
from m2m_market import M2MConnectionClient
print(M2MConnectionClient.from_environment().test_connection())
OpenAI-compatible tool
from m2m_market import M2MConnectionClient, M2MToolAdapter, openai_tool_definition
adapter = M2MToolAdapter(M2MConnectionClient.from_environment())
tools = [openai_tool_definition()]
# Give `tools` to the model. When it calls purchase_external_service:
result_json = adapter.invoke_json(tool_call.function.arguments)
LangChain
from m2m_market import M2MConnectionClient, M2MToolAdapter
m2m_tool = M2MToolAdapter(
M2MConnectionClient.from_environment()
).as_langchain_tool()
CrewAI and AutoGen
adapter = M2MToolAdapter(M2MConnectionClient.from_environment())
crewai_tool = adapter.as_crewai_tool()
autogen_function = adapter.as_autogen_function()
The dashboard spending policy and owner approval remain authoritative. Request-level limits can only make those controls stricter.
1 maintainer
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