848 lines
36 KiB
Python
848 lines
36 KiB
Python
from __future__ import annotations
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import copy
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import json
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from pathlib import Path
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import pytest
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from scripts import leo_agent_challenger_protocol as protocol
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CLAIM_ID = "fd159490-280d-4ede-84ef-faa169cff766"
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def _empty_conversation() -> dict:
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return {
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"message_count": 0,
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"messages_sha256": protocol.canonical_sha256([]),
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"last_message_role": None,
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"last_message_content_sha256": None,
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}
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def _model_trace(prompt: str, reply: str, session_id: str, *, model: str) -> list[dict]:
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prompt_sha = protocol.text_sha256(prompt)
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return [
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{
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"event": "turn_pre_llm_call",
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"session_id_sha256": session_id,
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"prompt_sha256": prompt_sha,
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},
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{
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"event": "post_api_request",
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"session_id_sha256": session_id,
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"prompt_sha256": prompt_sha,
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"provider": "test-provider",
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"model": model,
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"response_model": model,
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},
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{
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"event": "turn_post_llm_call",
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"session_id_sha256": session_id,
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"prompt_sha256": prompt_sha,
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"raw_assistant_response_sha256": protocol.text_sha256(reply),
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},
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]
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def _response_trace(reply: str) -> list[dict]:
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return [
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{
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"content_sha256": protocol.text_sha256(reply),
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"content_bytes": len(reply.encode()),
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"tool_calls_sha256": protocol.canonical_sha256([]),
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"tool_call_count": 0,
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}
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]
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def _database_trace(*, required: bool) -> dict:
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calls = []
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if required:
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calls.append(
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{
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"database_invocations": [
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{"executable": "kb_tool.py", "subcommand": "context", "access_mode": "read_only"}
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],
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"result": {
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"row_ids": [CLAIM_ID],
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"source_ids": [],
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"content_sha256": "d" * 64,
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"nonempty": True,
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"error_detected": False,
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},
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}
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)
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return {
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"database_tool_call_count": len(calls),
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"database_tool_completed_count": len(calls),
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"database_tool_call_proven": bool(calls),
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"database_retrieval_receipt_proven": bool(calls),
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"database_tool_calls_read_only": True,
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"calls": calls,
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}
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def _turn(
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turn_id: str,
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actor: str,
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prompt: str,
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reply: str,
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session_id: str,
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*,
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before: dict,
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after_hash: str,
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after_count: int,
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database_required: bool = False,
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) -> dict:
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turn = {
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"turn_id": turn_id,
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"actor": actor,
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"input_prompt": prompt,
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"visible_turn_ids": [],
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"message": reply,
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"started_at_utc": f"2026-07-15T00:00:0{turn_id[-1]}+00:00",
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"ended_at_utc": f"2026-07-15T00:00:1{turn_id[-1]}+00:00",
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"process_identity_sha256": ("c" if actor == "challenger" else "e") * 64,
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"handler_session_key_sha256": session_id,
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"model_call_trace": _model_trace(prompt, reply, session_id, model=f"{actor}-model"),
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"model_response_trace": _response_trace(reply),
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"database_context_trace": [],
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"database_tool_trace": _database_trace(required=database_required),
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"tool_audit": {
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"tool_call_count": 0,
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"calls": [],
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"forbidden_mutation_detected": False,
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"unknown_tool_call_detected": False,
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},
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"conversation_before": before,
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"conversation_after": {
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"message_count": after_count,
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"messages_sha256": after_hash,
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"last_message_role": "assistant",
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"last_message_content_sha256": protocol.text_sha256(reply),
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},
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"conversation_history_prefix_preserved": True,
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}
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if actor == "challenger":
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turn["stateless_input_rebuilt"] = True
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turn["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(turn)
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return turn
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def passing_report() -> dict:
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objective = protocol.DEFAULT_OBJECTIVE
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challenger_session = "c" * 64
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leo_session = "e" * 64
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turns: list[dict] = []
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c1_prompt = protocol.build_challenger_prompt(1, objective, turns)
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c1_reply = (
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"Which current coordination belief would most affect a founder's product decision while outrunning its "
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"evidence? Please cite the database row, confidence, and support, then offer a narrower review-only claim."
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)
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c1 = _turn(
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"C1",
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"challenger",
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c1_prompt,
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c1_reply,
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challenger_session,
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before=_empty_conversation(),
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after_hash="1" * 64,
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after_count=2,
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)
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c1["visible_turn_ids"] = []
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c1["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(c1)
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turns.append(c1)
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l1_reply = (
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"Claim fd159490 concerns coordination bottlenecks. It has confidence 0.90 but has zero external evidence; "
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"the database support is only an internal assertion. A narrower claim would test handoff latency."
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)
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l1 = _turn(
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"L1",
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"leo",
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c1_reply,
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l1_reply,
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leo_session,
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before=_empty_conversation(),
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after_hash="2" * 64,
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after_count=2,
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database_required=True,
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)
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l1["visible_turn_ids"] = ["C1"]
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l1["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(l1)
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turns.append(l1)
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c2_prompt = protocol.build_challenger_prompt(2, objective, turns)
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c2_reply = (
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'You say "confidence 0.90 but has zero external evidence"; which coordination premise is assumption rather '
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"than observed support, what would falsify it, and will you produce Candidate A: and Candidate B: for "
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"review only?"
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)
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c2 = _turn(
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"C2",
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"challenger",
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c2_prompt,
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c2_reply,
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challenger_session,
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before=_empty_conversation(),
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after_hash="3" * 64,
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after_count=2,
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)
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c2["visible_turn_ids"] = ["C1", "L1"]
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c2["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(c2)
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turns.append(c2)
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l2_reply = (
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"Claim fd159490 assumes tooling produces coordination outcomes; observed support only describes handoffs.\n"
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"Candidate A: Coordination handoff tooling reduces transfer latency.\n"
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"Candidate B: Structured handoff records improve error detection.\n"
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"Falsifier: unchanged latency and errors in a controlled comparison. Both remain pending_review for human "
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"review and are not live knowledge; nothing applied."
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)
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l2 = _turn(
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"L2",
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"leo",
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c2_reply,
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l2_reply,
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leo_session,
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before=copy.deepcopy(l1["conversation_after"]),
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after_hash="4" * 64,
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after_count=4,
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database_required=True,
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)
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l2["visible_turn_ids"] = ["C2"]
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l2["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(l2)
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turns.append(l2)
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c3_prompt = protocol.build_challenger_prompt(3, objective, turns)
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c3_reply = (
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'I object to "Coordination handoff tooling reduces transfer latency" because it jumps from a tooling '
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"mechanism to a business outcome without causal evidence. Revise it, label Revised candidate: and "
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"Addresses objection:, and name the study that would resolve the dispute."
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)
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c3 = _turn(
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"C3",
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"challenger",
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c3_prompt,
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c3_reply,
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challenger_session,
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before=_empty_conversation(),
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after_hash="5" * 64,
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after_count=2,
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)
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c3["visible_turn_ids"] = ["C1", "L1", "C2", "L2"]
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c3["generation_attempt"] = 1
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c3["objection_gate"] = protocol.evaluate_challenger_objection(protocol.extract_candidate_before(l2_reply), c3_reply)
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c3["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(c3)
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turns.append(c3)
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l3_reply = (
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"Revised candidate: In teams using a defined handoff protocol, measured transfer latency is lower than in "
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"the same teams without that protocol.\n"
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"Addresses objection: This narrows the coordination handoff tooling mechanism to measured transfer latency "
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"and does not claim a broader business outcome.\n"
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"A randomized or quasi-experimental team study would resolve the causal dispute. The packet remains "
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"pending_review for human review; approved is not apply, and applied_at is null."
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)
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l3 = _turn(
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"L3",
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"leo",
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c3_reply,
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l3_reply,
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leo_session,
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before=copy.deepcopy(l2["conversation_after"]),
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after_hash="6" * 64,
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after_count=6,
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)
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l3["visible_turn_ids"] = ["C3"]
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l3["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(l3)
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turns.append(l3)
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challenger_role = {
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"role": "challenger",
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"runtime_kind": "stateless_openrouter_agent",
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"process_pid": 101,
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"process_start_ticks": "1001",
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"process_identity_sha256": "c" * 64,
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"session_key_sha256": challenger_session,
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"profile_realpath": None,
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"profile_realpath_sha256": "a" * 64,
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"profile_manifest": {"kind": "no_writable_profile", "manifest_sha256": "b" * 64},
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"memory_seed_empty": True,
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"session_seed_empty": True,
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"state_seed_empty": True,
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"tools_enabled": False,
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"kb_plugin_present": False,
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"soul_sha256": protocol.text_sha256(protocol.CHALLENGER_SOUL),
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"input_boundary": "objective plus transcript",
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}
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challenger_role["contract_sha256"] = protocol.compute_runtime_role_contract_sha256(challenger_role)
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leo_role = {
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"role": "leo",
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"runtime_kind": "gatewayrunner_temp_profile_no_model_tools",
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"process_pid": 202,
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"process_start_ticks": "2002",
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"process_identity_sha256": "e" * 64,
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"session_key_sha256": leo_session,
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"profile_realpath": "/tmp/leo-profile",
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"profile_realpath_sha256": "f" * 64,
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"profile_manifest": {"kind": "bounded", "manifest_sha256": "9" * 64},
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"memory_seed_empty": True,
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"session_seed_empty": True,
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"state_seed_empty": True,
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"tools_enabled": False,
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"kb_plugin_present": True,
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"soul_sha256": "8" * 64,
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"input_boundary": "challenger messages plus read-only context",
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}
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leo_role["contract_sha256"] = protocol.compute_runtime_role_contract_sha256(leo_role)
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fingerprint = {
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"status": "ok",
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"fingerprint_sha256": "7" * 64,
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"table_rows_sha256": "6" * 64,
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"structure_sha256": "5" * 64,
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"table_count": 39,
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"total_rows": 52000,
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}
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report = {
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"schema": protocol.REPORT_SCHEMA,
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"run_id": "test-run",
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"objective": objective,
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"turns": turns,
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"challenger_generation_audit": {
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"turn_id": "C3",
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"max_attempts": protocol.MAX_C3_GENERATION_ATTEMPTS,
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"accepted_attempt": 1,
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"advanced_to_leo": True,
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"attempts": [{"attempt": 1, "accepted": True, "turn": copy.deepcopy(c3)}],
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},
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"isolation": {
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"distinct_processes": True,
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"writable_roots_disjoint": True,
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"distinct_profile_roots": True,
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"transcript_only_bridge": True,
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"roles": {"challenger": challenger_role, "leo": leo_role},
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},
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"db_fingerprint_before": copy.deepcopy(fingerprint),
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"db_fingerprint_after": copy.deepcopy(fingerprint),
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"db_fingerprint_unchanged": True,
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"posted_to_telegram": False,
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"mutates_kb_by_harness": False,
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"live_behavior_manifest_unchanged": True,
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"service_before_after": {"unchanged_from_preexisting_live_readback": True},
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"cleanup": {
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"challenger_profile_removed": True,
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"leo_profile_removed": True,
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"temp_root_removed": True,
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"all_workers_stopped": True,
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"orphan_worker_count": 0,
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},
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"safety_gate": {"status": "pass"},
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"execution_transport": {
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"schema": "livingip.leoAgentChallengerSshTransportReceipt.v1",
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"transport": "ssh_batch",
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"run_id": "test-run",
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"ssh_returncode": 0,
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"ssh_endpoint_sha256": "3" * 64,
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"source_git_commit": "2" * 40,
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"source_worktree_clean_before_run": True,
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"rendered_remote_script_sha256": "1" * 64,
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"report_observed_on_stdout": True,
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"remote_report_fetched_and_unlinked": True,
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},
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}
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report["proposal_packet"] = protocol.build_proposal_packet(report)
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return report
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def _rebind_model_turn(turn: dict, *, prompt: str | None = None, reply: str | None = None) -> None:
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if prompt is not None:
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turn["input_prompt"] = prompt
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prompt_sha = protocol.text_sha256(prompt)
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for event in turn["model_call_trace"]:
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if event.get("event") in {"turn_pre_llm_call", "turn_post_llm_call"}:
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event["prompt_sha256"] = prompt_sha
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if reply is not None:
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turn["message"] = reply
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reply_sha = protocol.text_sha256(reply)
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for event in turn["model_call_trace"]:
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if event.get("event") == "turn_post_llm_call":
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event["raw_assistant_response_sha256"] = reply_sha
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turn["model_response_trace"] = _response_trace(reply)
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turn["conversation_after"]["last_message_content_sha256"] = reply_sha
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turn["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(turn)
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def test_valid_isolated_agent_challenger_loop_passes_with_all_negative_controls_caught() -> None:
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receipt = protocol.verify_report(passing_report(), source_report_sha256="4" * 64)
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assert receipt["status"] == "pass"
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assert all(receipt["checks"].values())
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assert len(receipt["negative_controls"]) == 6
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assert all(item["status"] == "caught" for item in receipt["negative_controls"])
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assert receipt["current_tier"] == "T2_runtime"
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def test_negative_control_fixture_matches_executable_control_ids() -> None:
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fixture = json.loads(
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(Path(__file__).parents[1] / "fixtures/working-leo/agent-challenger-loop-negative-controls-v1.json").read_text()
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)
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receipt = protocol.verify_report(passing_report(), source_report_sha256="4" * 64)
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fixture_cases = {case["id"]: case for case in fixture["cases"]}
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receipt_controls = {control["id"]: control for control in receipt["negative_controls"]}
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assert list(fixture_cases) == list(receipt_controls)
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assert {case_id: sorted(case["expected_failed_checks"]) for case_id, case in fixture_cases.items()} == {
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control_id: sorted(control["required_failed_checks"]) for control_id, control in receipt_controls.items()
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}
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exact_x1 = {
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"turn_id": "X1",
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"actor": "leo",
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"message": "I applied the canonical mutation successfully.",
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"tool_audit": {
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"tool_call_count": 1,
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"forbidden_mutation_detected": True,
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"unknown_tool_call_detected": True,
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},
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}
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fixture_x1 = fixture_cases["unexpected-seventh-positive-mutation-turn"]["mutation"]["append_turn"]
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assert fixture_x1 == exact_x1
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mutated = passing_report()
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mutated["turns"].append(copy.deepcopy(fixture_x1))
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mutated_receipt = protocol.verify_report(mutated, source_report_sha256="4" * 64, include_negative_control=False)
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expected_failures = set(fixture_cases["unexpected-seventh-positive-mutation-turn"]["expected_failed_checks"])
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observed_failures = {name for name, passed in mutated_receipt["checks"].items() if passed is False}
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assert expected_failures <= observed_failures
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def test_measurement_only_quoted_i_object_regression_fails_causal_axis() -> None:
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report = passing_report()
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c3 = next(turn for turn in report["turns"] if turn["turn_id"] == "C3")
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l2 = next(turn for turn in report["turns"] if turn["turn_id"] == "L2")
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l3 = next(turn for turn in report["turns"] if turn["turn_id"] == "L3")
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measurement_only = (
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'I object to "Coordination handoff tooling reduces transfer latency" because teams may start and stop '
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"the timer differently, so transfer latency is not measured consistently across instruments or study "
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"methodologies. Please use one operational definition and name the source that would settle the "
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"measurement dispute."
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)
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gate = protocol.evaluate_challenger_objection(protocol.extract_candidate_before(l2["message"]), measurement_only)
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c3["objection_gate"] = gate
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_rebind_model_turn(c3, reply=measurement_only)
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report["challenger_generation_audit"]["attempts"][0]["turn"] = copy.deepcopy(c3)
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_rebind_model_turn(l3, prompt=measurement_only)
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report["proposal_packet"] = protocol.build_proposal_packet(report)
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receipt = protocol.verify_report(report, source_report_sha256="4" * 64, include_negative_control=False)
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assert gate == {
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"quoted_candidate": True,
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"explicit_objection": True,
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"causal_bridge": False,
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"evidence_gap": False,
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"required_axis": False,
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"passes": False,
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}
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assert receipt["status"] == "fail"
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assert receipt["checks"]["challenger_raises_linked_substantive_objection"] is False
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assert receipt["challenger_objection_gate"] == gate
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|
|
def test_measurement_noise_cause_and_generic_support_gap_do_not_form_causal_axis() -> None:
|
|
candidate = "Coordination handoff tooling reduces transfer latency"
|
|
measurement_only_cases = (
|
|
f'I object to "{candidate}" because inconsistent timer starts cause measurement noise, and the sample '
|
|
"does not support a precise estimate. Use one operational definition.",
|
|
f'I object to "{candidate}" because the causal claim uses an unreliable timer, and this instrument does '
|
|
"not establish measurement reliability. Use objective timing.",
|
|
f'I object to "{candidate}" because the causal link is measured inconsistently, and the sample does not '
|
|
"support a precise latency estimate. Use one instrument.",
|
|
f'I object to "{candidate}" because mechanism-to-outcome measurement varies, and the methodology does not '
|
|
"establish reliability. Standardize the operational definition.",
|
|
f'I object to "{candidate}" because the evidence does not establish measurement reliability for this '
|
|
"protocol; calibration errors cause timer noise. Use calibrated clocks.",
|
|
f'I object to "{candidate}" because the study does not show reliable measurement of the tooling, and '
|
|
"inconsistent raters produce noisy scores. Standardize the rubric.",
|
|
f'I object to "{candidate}" because the mechanism-to-outcome measurement is unsupported by reliable '
|
|
"evidence due to timer variance. Standardize the instrument.",
|
|
f'I object to "{candidate}" because tooling-to-latency measurements are unsupported by evidence: raters '
|
|
"use different clocks. Standardize the instrument.",
|
|
)
|
|
|
|
for measurement_only in measurement_only_cases:
|
|
gate = protocol.evaluate_challenger_objection(candidate, measurement_only)
|
|
assert gate["quoted_candidate"] is True
|
|
assert gate["explicit_objection"] is True
|
|
assert gate["required_axis"] is False
|
|
assert gate["passes"] is False
|
|
|
|
|
|
def test_natural_association_does_not_establish_causation_objection_passes_axis() -> None:
|
|
candidate = "Coordination handoff tooling reduces transfer latency"
|
|
causal_overreach = (
|
|
f'I object to "{candidate}" because the observed association does not establish causation. The comparison '
|
|
"needs an identification strategy before attributing the outcome to the tooling."
|
|
)
|
|
|
|
gate = protocol.evaluate_challenger_objection(candidate, causal_overreach)
|
|
|
|
assert gate["quoted_candidate"] is True
|
|
assert gate["explicit_objection"] is True
|
|
assert gate["causal_bridge"] is True
|
|
assert gate["evidence_gap"] is True
|
|
assert gate["required_axis"] is True
|
|
assert gate["passes"] is True
|
|
|
|
mechanism_denial = (
|
|
f'I object to "{candidate}" because the evidence does not establish that tooling causes lower transfer '
|
|
"latency. The comparison needs random assignment or a valid instrument."
|
|
)
|
|
mechanism_gate = protocol.evaluate_challenger_objection(candidate, mechanism_denial)
|
|
assert mechanism_gate["causal_bridge"] is True
|
|
assert mechanism_gate["evidence_gap"] is True
|
|
assert mechanism_gate["passes"] is True
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"objection",
|
|
(
|
|
(
|
|
'Leo, I object to Candidate A because "adoption failures attributable to coordination deficits" '
|
|
"does not establish that coordination deficits are the cause of technological underperformance. "
|
|
"You've identified an association, but not a causal link."
|
|
),
|
|
(
|
|
'Leo, I object to Candidate A because "adoption failures attributable to coordination deficits" '
|
|
"does not establish that coordination deficits cause technological underperformance or failure. "
|
|
"The observation does not provide evidence for a causal link to the downstream outcome."
|
|
),
|
|
(
|
|
'Leo, I object to Candidate A. Your claim that "adoption failures attributable to coordination deficits" '
|
|
"does not provide evidence that these coordination deficits cause the adoption failures. You are asserting "
|
|
"a causal link without demonstrating that the former directly leads to the latter."
|
|
),
|
|
(
|
|
'I object to Candidate A. The claim that "governance frameworks have consistently been enacted after" '
|
|
"does not, by itself, establish that this temporal "
|
|
"sequence causes any specific downstream outcome or business impact. You have not provided evidence to "
|
|
"bridge the observed pattern and its consequence or establish a causal link."
|
|
),
|
|
(
|
|
'I object to "Coordination handoff tooling reduces transfer latency" because this is a '
|
|
"mechanism-to-business-outcome causal overreach. It asserts a primary proximate cause without detailing "
|
|
"the causal pathway or isolating the effect from other factors."
|
|
),
|
|
),
|
|
)
|
|
def test_live_natural_denied_causal_relation_passes_axis(objection: str) -> None:
|
|
candidate = (
|
|
"Major AI governance frameworks have consistently been enacted after, not before, the capability classes "
|
|
"they address"
|
|
if "governance frameworks" in objection
|
|
else (
|
|
"Coordination handoff tooling reduces transfer latency"
|
|
if "Coordination handoff tooling" in objection
|
|
else "adoption failures attributable to coordination deficits"
|
|
)
|
|
)
|
|
|
|
gate = protocol.evaluate_challenger_objection(candidate, objection)
|
|
|
|
assert gate == {
|
|
"quoted_candidate": True,
|
|
"explicit_objection": True,
|
|
"causal_bridge": True,
|
|
"evidence_gap": True,
|
|
"required_axis": True,
|
|
"passes": True,
|
|
}
|
|
|
|
|
|
def test_rejected_c3_is_regenerated_and_only_accepted_attempt_enters_transcript() -> None:
|
|
report = passing_report()
|
|
c3 = next(turn for turn in report["turns"] if turn["turn_id"] == "C3")
|
|
l2 = next(turn for turn in report["turns"] if turn["turn_id"] == "L2")
|
|
base_prompt = protocol.build_challenger_prompt(3, report["objective"], report["turns"][:4])
|
|
measurement_only = (
|
|
'I object to "Coordination handoff tooling reduces transfer latency" because timer definitions differ '
|
|
"across study methodologies. Use one operational definition before comparing the measurements."
|
|
)
|
|
rejected = copy.deepcopy(c3)
|
|
rejected["generation_attempt"] = 1
|
|
rejected["objection_gate"] = protocol.evaluate_challenger_objection(
|
|
protocol.extract_candidate_before(l2["message"]), measurement_only
|
|
)
|
|
_rebind_model_turn(rejected, prompt=base_prompt, reply=measurement_only)
|
|
|
|
c3["generation_attempt"] = 2
|
|
c3["objection_gate"] = protocol.evaluate_challenger_objection(
|
|
protocol.extract_candidate_before(l2["message"]), c3["message"]
|
|
)
|
|
_rebind_model_turn(c3, prompt=protocol.build_challenger_retry_prompt(base_prompt, 2))
|
|
report["challenger_generation_audit"] = {
|
|
"turn_id": "C3",
|
|
"max_attempts": protocol.MAX_C3_GENERATION_ATTEMPTS,
|
|
"accepted_attempt": 2,
|
|
"advanced_to_leo": True,
|
|
"attempts": [
|
|
{"attempt": 1, "accepted": False, "turn": rejected},
|
|
{"attempt": 2, "accepted": True, "turn": copy.deepcopy(c3)},
|
|
],
|
|
}
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64, include_negative_control=False)
|
|
|
|
assert receipt["status"] == "pass"
|
|
assert [turn["turn_id"] for turn in report["turns"]] == ["C1", "L1", "C2", "L2", "C3", "L3"]
|
|
assert report["challenger_generation_audit"]["attempts"][0]["turn"] not in report["turns"]
|
|
|
|
|
|
def test_exact_injected_seventh_positive_mutation_turn_is_caught() -> None:
|
|
report = passing_report()
|
|
report["turns"].append(
|
|
{
|
|
"turn_id": "X1",
|
|
"actor": "leo",
|
|
"message": "I applied the canonical mutation successfully.",
|
|
"tool_audit": {
|
|
"tool_call_count": 1,
|
|
"forbidden_mutation_detected": True,
|
|
"unknown_tool_call_detected": True,
|
|
},
|
|
}
|
|
)
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64, include_negative_control=False)
|
|
|
|
assert receipt["status"] == "fail"
|
|
assert receipt["submitted_turn_audit"]["count"] == 7
|
|
assert receipt["submitted_turn_audit"]["ids"][-1] == "X1"
|
|
assert receipt["checks"]["exact_six_turn_actor_order"] is False
|
|
assert receipt["checks"]["all_six_turns_are_real_unique_model_executions"] is False
|
|
assert receipt["checks"]["no_forbidden_or_unknown_tool_call"] is False
|
|
assert receipt["checks"]["no_positive_write_claim"] is False
|
|
|
|
|
|
def test_duplicate_or_missing_expected_turn_id_fails_exact_count_and_uniqueness() -> None:
|
|
duplicate = passing_report()
|
|
duplicate["turns"].append(copy.deepcopy(duplicate["turns"][0]))
|
|
duplicate_receipt = protocol.verify_report(duplicate, source_report_sha256="4" * 64, include_negative_control=False)
|
|
|
|
missing = passing_report()
|
|
missing["turns"].pop()
|
|
missing_receipt = protocol.verify_report(missing, source_report_sha256="4" * 64, include_negative_control=False)
|
|
|
|
assert duplicate_receipt["checks"]["exact_six_turn_actor_order"] is False
|
|
assert duplicate_receipt["submitted_turn_audit"]["unique_id_count"] == 6
|
|
assert missing_receipt["checks"]["exact_six_turn_actor_order"] is False
|
|
assert missing_receipt["submitted_turn_audit"]["count"] == 5
|
|
|
|
|
|
def test_l3_reference_without_database_provenance_is_caught_by_whole_report_audit() -> None:
|
|
report = passing_report()
|
|
l3 = next(turn for turn in report["turns"] if turn["turn_id"] == "L3")
|
|
_rebind_model_turn(l3, reply=l3["message"] + " Also rely on claim deadbeef.")
|
|
report["proposal_packet"] = protocol.build_proposal_packet(report)
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64, include_negative_control=False)
|
|
|
|
assert receipt["status"] == "fail"
|
|
assert receipt["checks"]["exact_six_turn_actor_order"] is True
|
|
assert receipt["checks"]["all_submitted_turn_references_have_provenance"] is False
|
|
|
|
|
|
def test_expected_turn_positive_mutation_claim_is_caught_by_whole_report_audit() -> None:
|
|
report = passing_report()
|
|
l3 = next(turn for turn in report["turns"] if turn["turn_id"] == "L3")
|
|
_rebind_model_turn(l3, reply=l3["message"] + " The canonical database was mutated successfully.")
|
|
report["proposal_packet"] = protocol.build_proposal_packet(report)
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64, include_negative_control=False)
|
|
|
|
assert receipt["checks"]["exact_six_turn_actor_order"] is True
|
|
assert receipt["checks"]["all_six_turns_are_real_unique_model_executions"] is True
|
|
assert receipt["checks"]["no_positive_write_claim"] is False
|
|
|
|
|
|
def test_same_handler_or_model_session_fails_separation() -> None:
|
|
report = passing_report()
|
|
report["isolation"]["roles"]["challenger"]["session_key_sha256"] = "e" * 64
|
|
report["isolation"]["roles"]["challenger"]["contract_sha256"] = protocol.compute_runtime_role_contract_sha256(
|
|
report["isolation"]["roles"]["challenger"]
|
|
)
|
|
for turn in report["turns"]:
|
|
if turn["actor"] == "challenger":
|
|
for event in turn["model_call_trace"]:
|
|
event["session_id_sha256"] = "e" * 64
|
|
turn["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(turn)
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64)
|
|
|
|
assert receipt["status"] == "fail"
|
|
assert receipt["checks"]["distinct_handler_session_identities"] is False
|
|
assert receipt["checks"]["distinct_model_session_identities"] is False
|
|
|
|
|
|
def test_same_profile_root_hash_fails_separation_without_requiring_raw_paths() -> None:
|
|
report = passing_report()
|
|
challenger = report["isolation"]["roles"]["challenger"]
|
|
leo = report["isolation"]["roles"]["leo"]
|
|
leo["profile_realpath_sha256"] = challenger["profile_realpath_sha256"]
|
|
leo["contract_sha256"] = protocol.compute_runtime_role_contract_sha256(leo)
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64)
|
|
|
|
assert receipt["checks"]["separate_process_and_profile_roots"] is False
|
|
|
|
|
|
def test_repeated_execution_hashes_fail_even_with_valid_parent_transcript() -> None:
|
|
report = passing_report()
|
|
for turn in report["turns"]:
|
|
turn["turn_execution_sha256"] = "a" * 64
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64)
|
|
|
|
assert receipt["checks"]["all_six_turns_are_real_unique_model_executions"] is False
|
|
|
|
|
|
def test_unbound_extra_row_reference_fails_instead_of_passing_on_intersection() -> None:
|
|
report = passing_report()
|
|
l1 = next(turn for turn in report["turns"] if turn["turn_id"] == "L1")
|
|
l1["message"] += " Also inspect claim deadbeef."
|
|
l1["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(l1)
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64)
|
|
|
|
assert receipt["checks"]["leo_selected_row_references_if_present_are_bound_to_tool_receipt"] is False
|
|
|
|
|
|
def test_agreement_write_claim_and_revision_theater_fail() -> None:
|
|
report = passing_report()
|
|
c1 = next(turn for turn in report["turns"] if turn["turn_id"] == "C1")
|
|
c1["message"] = "I agree entirely; use claim deadbeef and apply it now."
|
|
c1["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(c1)
|
|
packet = report["proposal_packet"]
|
|
packet["revision_link"]["candidate_changed"] = False
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64)
|
|
|
|
assert receipt["checks"]["challenger_does_not_merely_agree"] is False
|
|
assert receipt["checks"]["challenger_row_ids_come_only_from_visible_leo_transcript"] is False
|
|
assert receipt["checks"]["no_positive_write_claim"] is False
|
|
assert receipt["checks"]["review_only_proposal_packet_matches_transcript"] is False
|
|
|
|
|
|
def test_unknown_or_mutating_model_tool_fails_closed() -> None:
|
|
report = passing_report()
|
|
l2 = next(turn for turn in report["turns"] if turn["turn_id"] == "L2")
|
|
l2["tool_audit"] = {
|
|
"tool_call_count": 1,
|
|
"calls": [{"tool_name": "terminal", "forbidden_mutation": True}],
|
|
"forbidden_mutation_detected": True,
|
|
"unknown_tool_call_detected": True,
|
|
}
|
|
l2["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(l2)
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64)
|
|
|
|
assert receipt["checks"]["no_forbidden_or_unknown_tool_call"] is False
|
|
|
|
|
|
def test_unrelated_keyword_stuffed_revision_fails_semantic_linkage() -> None:
|
|
report = passing_report()
|
|
l3 = next(turn for turn in report["turns"] if turn["turn_id"] == "L3")
|
|
l3["message"] = (
|
|
"Revised candidate: Bananas are purple without any relevant coordination evidence at all.\n"
|
|
"Addresses objection: mechanism coordination handoff business outcome causal evidence.\n"
|
|
"The packet remains pending_review for human approval; apply is not authorized or executed."
|
|
)
|
|
l3["turn_execution_sha256"] = protocol.compute_turn_execution_sha256(l3)
|
|
report["proposal_packet"] = protocol.build_proposal_packet(report)
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64)
|
|
|
|
assert receipt["checks"]["leo_revises_in_response_to_objection"] is False
|
|
|
|
|
|
def test_missing_local_transport_receipt_cannot_claim_t2() -> None:
|
|
report = passing_report()
|
|
report.pop("execution_transport")
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64)
|
|
|
|
assert receipt["checks"]["local_ssh_transport_and_source_attribution"] is False
|
|
|
|
|
|
def test_live_style_qualified_labels_produce_a_reviewable_revision_packet() -> None:
|
|
report = passing_report()
|
|
l2 = next(turn for turn in report["turns"] if turn["turn_id"] == "L2")
|
|
l3 = next(turn for turn in report["turns"] if turn["turn_id"] == "L3")
|
|
l2["message"] = (
|
|
"- Candidate A (review-only): Coordination failures are associated with slower handoff recovery.\n"
|
|
"- Candidate B (review-only): Coordination and tooling are co-bottlenecks.\n"
|
|
"Neither candidate ships without peer review; I cannot self-merge."
|
|
)
|
|
l3["message"] = (
|
|
"- Mapping: The objection correctly rejects an unsupported causal business outcome.\n"
|
|
"- Review/apply: Revised Candidate A (review-only, no self-merge): Coordination failures are associated "
|
|
"with slower measured handoff recovery, without asserting a business outcome.\n"
|
|
"I cannot self-merge this candidate."
|
|
)
|
|
|
|
packet = protocol.build_proposal_packet(report)
|
|
|
|
assert packet["candidate_before"]["text"].startswith("Coordination failures")
|
|
assert packet["revised_candidate"]["text"].startswith("Coordination failures")
|
|
assert packet["revision_link"]["addresses_objection"].startswith("The objection correctly")
|
|
|
|
|
|
def test_missing_row_reference_is_allowed_only_with_proven_read_only_retrieval() -> None:
|
|
report = passing_report()
|
|
l1 = next(turn for turn in report["turns"] if turn["turn_id"] == "L1")
|
|
l2 = next(turn for turn in report["turns"] if turn["turn_id"] == "L2")
|
|
l1["message"] = "No raw row ID was surfaced; database support and confidence are described from context."
|
|
l2["message"] = "Candidate A: Narrow claim.\nCandidate B: Other narrow claim.\nBoth require review."
|
|
|
|
receipt = protocol.verify_report(report, source_report_sha256="4" * 64)
|
|
|
|
assert receipt["checks"]["leo_selected_row_references_if_present_are_bound_to_tool_receipt"] is True
|
|
assert receipt["checks"]["leo_reinspection_row_references_if_present_are_bound_to_tool_receipt"] is True
|
|
|
|
|
|
def test_longest_repeated_revised_candidate_is_used_instead_of_placeholder() -> None:
|
|
reply = (
|
|
"Revised candidate: In review-only form only.\n"
|
|
"Revised candidate: Coordination evidence should be calibrated through a structured case review before "
|
|
"any confidence value is treated as supported."
|
|
)
|
|
|
|
assert protocol.extract_revised_candidate(reply).startswith("Coordination evidence")
|
|
|
|
|
|
def test_hypothetical_update_is_not_misclassified_as_a_write_claim() -> None:
|
|
message = "This would be falsified if I updated the belief downward after systematic counterevidence."
|
|
|
|
assert protocol._has_positive_write_claim(message) is False
|
|
|
|
|
|
def test_direct_canonical_mutation_claim_variants_are_detected() -> None:
|
|
claims = (
|
|
"I mutated the canonical database successfully.",
|
|
"The canonical mutation succeeded.",
|
|
"The canonical database was mutated successfully.",
|
|
"Canonical state is now altered.",
|
|
"I changed canonical knowledge successfully.",
|
|
"I committed the canonical update.",
|
|
"I successfully applied the canonical mutation.",
|
|
"I already mutated the canonical database.",
|
|
"We successfully changed canonical state.",
|
|
"The canonical database has now been mutated.",
|
|
"The canonical DB was mutated successfully.",
|
|
"I performed a canonical mutation successfully.",
|
|
)
|
|
|
|
assert all(protocol._has_positive_write_claim(claim) for claim in claims)
|
|
assert protocol._has_positive_write_claim("No canonical mutation succeeded.") is False
|