datagoat-decide (Python)

pip install datagoat-decide     # or: uv add datagoat-decide
export DATAGOAT_API_KEY=dg_live_...

Wrap a LangGraph node

from datagoat_decide import Datagoat
dg = Datagoat()  # reads DATAGOAT_API_KEY and DATAGOAT_BASE_URL (your data1 deployment URL)

graph.add_node("qualify", dg.wrap("sdr.qualify", qualify_lead,
    input_key="lead", output_key="qualification", case_id="lead_id"))

• Valid answer → Datagoat's answer goes into state["qualification"], your node does not run.
• No valid answer → your fallback (set in the dashboard): your node runs as before, or the case goes to a person, or no decision (None).
• Datagoat unreachable or slow → your node runs. The SDK never blocks your agent past its budget (timeout, default 2.5 s). Every call carries an idempotency key, so a call that timed out after Datagoat logged it is replayed off your agent's path and still graded.

Any function

@dg.point("cs.risk_tier", case_id=lambda acct: acct["account_id"])
def risk_tier(acct: dict) -> dict: ...

Outcomes

dg.outcomes("sdr.qualify", [{"case_id": "L-20419", "value": 1}])

Map your agent

datagoat-decide map my_agent.graph:graph --name "SDR agent"