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## Why Terminal task correctness alone does not guard Buzz-native collaboration behavior such as exact reply routing, non-waking narrative names, batched agent synthesis, thread isolation, and ambiguous identity targeting. ## What - Add five medium/hard Harbor tasks for multiline delivery, narrative agent names, interleaved agent reports, cross-thread requests, and ambiguous user mentions - Add signed scripted-event fixtures, duplicate-display-name profiles, and public-only evidence export support - Add positive and adversarial verifier fixtures covering dropped inputs, extra posts, incorrect routing, and unintended mentions ## Risk Assessment Low — changes are limited to benchmark tooling and datasets; production behavior is exercised but not modified. ## References - Grounded in behavior reported in `buzz-community` and public issues #5787, #5176, #5839, #4942, #4072, #4303, and #6257 - Live Claude Sonnet 4.6 smoke run: 2/5 passed; the three failures exposed top-level instead of threaded delivery, empty narrative output, and silent ambiguous-identity completion - Live GPT-5.6 Luna run (`buzz-native-solo-luna.yaml`): 3/5 passed. Passed `ambiguous-user-mention`, `cross-thread-requests`, and `interleaved-agent-reports`. Failed `multiline-message` and `narrative-agent-names` because both omitted the event-level user mention despite otherwise-correct content and threading. <img width="1176" height="805" alt="Screenshot 2026-08-21 at 11 11 17 AM" src="https://github.com/user-attachments/assets/fc259ec9-892c-4436-b022-1bf85415617d" /> Signed-off-by: Salman Mohammed <smohammed@squareup.com>
139 lines
4.6 KiB
Python
Executable File
139 lines
4.6 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Deterministic verifier for isolation of two top-level requests."""
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from __future__ import annotations
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import argparse
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import json
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import re
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from pathlib import Path
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from typing import Any
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def _zero() -> dict[str, float]:
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return {
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"reward": 0.0,
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"alpha_correct": 0.0,
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"beta_correct": 0.0,
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"thread_isolation": 0.0,
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"user_mentioned_twice": 0.0,
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"evidence_complete": 0.0,
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}
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def _matches(message: dict[str, Any], label: str, value: int) -> bool:
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content = str(message.get("content", ""))
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return bool(re.search(rf"{label}\D+{value}(?:\D|$)", content, re.IGNORECASE))
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def score_evidence(evidence: object) -> tuple[dict[str, float], dict[str, Any]]:
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if not isinstance(evidence, dict):
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return _zero(), {"error": "evidence root is not an object"}
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alpha_root = evidence.get("task_event_id")
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scripts = [
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row
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for row in evidence.get("scripted_events", [])
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if isinstance(row, dict) and row.get("label") == "beta-request"
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]
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beta_root = scripts[0].get("event_id") if len(scripts) == 1 else None
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identities = (
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evidence.get("identities")
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if isinstance(evidence.get("identities"), dict)
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else {}
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)
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user = identities.get("Priya Simone Patel", {})
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agents = [
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row
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for row in identities.values()
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if isinstance(row, dict) and row.get("role") == "orchestrator"
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]
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agent_pubkey = agents[0].get("pubkey") if len(agents) == 1 else None
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messages = [row for row in evidence.get("messages", []) if isinstance(row, dict)]
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candidates = [
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row for row in messages if agent_pubkey and row.get("pubkey") == agent_pubkey
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]
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alpha_replies = [
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row
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for row in candidates
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if row.get("reply_to_event_id") == alpha_root and _matches(row, "ALPHA", 346)
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]
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beta_replies = [
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row
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for row in candidates
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if row.get("reply_to_event_id") == beta_root and _matches(row, "BETA", 41)
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]
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alpha = alpha_replies[-1] if alpha_replies else None
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beta = beta_replies[-1] if beta_replies else None
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alpha_content = str(alpha.get("content", "")) if alpha else ""
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beta_content = str(beta.get("content", "")) if beta else ""
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alpha_correct = float(alpha is not None)
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beta_correct = float(beta is not None)
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thread_isolation = float(
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alpha is not None
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and beta is not None
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and len(candidates) == 2
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and alpha.get("id") != beta.get("id")
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and "BETA" not in alpha_content.upper()
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and "ALPHA" not in beta_content.upper()
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)
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user_mentioned_twice = float(
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alpha is not None
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and beta is not None
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and user.get("pubkey") in alpha.get("mentioned_pubkeys", [])
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and user.get("pubkey") in beta.get("mentioned_pubkeys", [])
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)
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evidence_complete = float(
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evidence.get("schema_version") == 1
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and evidence.get("task_name") == "cross-thread-requests"
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and evidence.get("truncated") is False
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and isinstance(alpha_root, str)
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and isinstance(beta_root, str)
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and len(agents) == 1
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)
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values = (
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alpha_correct,
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beta_correct,
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thread_isolation,
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user_mentioned_twice,
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evidence_complete,
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)
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metrics = {
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"reward": float(all(value == 1.0 for value in values)),
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"alpha_correct": alpha_correct,
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"beta_correct": beta_correct,
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"thread_isolation": thread_isolation,
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"user_mentioned_twice": user_mentioned_twice,
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"evidence_complete": evidence_complete,
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}
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return metrics, {
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"alpha_root": alpha_root,
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"beta_root": beta_root,
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"alpha_message_id": alpha.get("id") if alpha else None,
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"beta_message_id": beta.get("id") if beta else None,
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"alpha_content": alpha_content,
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"beta_content": beta_content,
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}
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def main() -> int:
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parser = argparse.ArgumentParser()
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parser.add_argument("--evidence", type=Path, required=True)
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parser.add_argument("--reward", type=Path, required=True)
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parser.add_argument("--details", type=Path, required=True)
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args = parser.parse_args()
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try:
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metrics, details = score_evidence(
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json.loads(args.evidence.read_text(encoding="utf-8"))
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)
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except (OSError, json.JSONDecodeError) as error:
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metrics, details = _zero(), {"error": str(error)}
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args.reward.write_text(json.dumps(metrics, sort_keys=True) + "\n", encoding="utf-8")
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args.details.write_text(
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json.dumps(details, indent=2, sort_keys=True) + "\n", encoding="utf-8"
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)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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