Prove what the AI decided —
on what basis, and that the record is intact.

from provenant import CaptureSession, Signer, FileChainStore
from provenant import JsonlEmitter, ThresholdCapture, compute_model_id

model_id = compute_model_id(
    weights="checkpoints/aeromind_pinn.pt",
    config={"arch": "tilt_rotor"},
    quant="fp32-cpu",
)
session = CaptureSession(
    tenant_id="op-northstar",
    source_id="N-AM042",
    model_id=model_id,
    signer=Signer.load("keys/n-am042.key"),
    chain=FileChainStore("provenance/chain"),
    emitter=JsonlEmitter("provenance/buffer"),
    policy=ThresholdCapture(),  # FULL when flagged / OOD
)
sealed = session.capture(
    input_payload=telemetry,
    reasoning=health_result,   # model rationale ("why")
    output={"decision": "CONDITIONAL"},
    output_label="CONDITIONAL — battery limiting",
    confidence=0.88,
)

from provenant import CaptureSession, FullCapture, Signer
from provenant.integrations.agentic import AgenticCapture

session = CaptureSession(
    tenant_id="t-…", source_id="agent-1", model_id="MID-agent",
    signer=Signer.generate(), policy=FullCapture(),
)
cap = AgenticCapture(session, task={"instruction": "…"})

# Each step seals on the hash chain…
cap.step("plan", reasoning=plan, output=plan_out)
cap.step("tool_call", input_payload=tool_in, output=tool_out)
cap.step("llm", reasoning=thoughts, output=answer)

# Parent record binds the full trajectory
parent = cap.finalize()
# verify_trajectory(parent, steps) → ok

# Platform
GET /records/{decision_id}/why
# → narrative + sealed model_rationale + ledger proof

# Offline SDK
from provenant import build_decision_explanation
why = build_decision_explanation(
    sealed.record,
    payloads={"reasoning": reasoning, "input": inp, "output": out},
    public_key_hex=signer.public_key_hex,
)
print(why["narrative"])
print(why["why"]["model_rationale"])