Files
Salman Mohammed b56a52ca11 test(benchmarks): expand Buzz-native dataset (#6448)
## 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>
2026-08-21 12:00:04 -04:00

139 lines
4.6 KiB
Python
Executable File

#!/usr/bin/env python3
"""Deterministic verifier for isolation of two top-level requests."""
from __future__ import annotations
import argparse
import json
import re
from pathlib import Path
from typing import Any
def _zero() -> dict[str, float]:
return {
"reward": 0.0,
"alpha_correct": 0.0,
"beta_correct": 0.0,
"thread_isolation": 0.0,
"user_mentioned_twice": 0.0,
"evidence_complete": 0.0,
}
def _matches(message: dict[str, Any], label: str, value: int) -> bool:
content = str(message.get("content", ""))
return bool(re.search(rf"{label}\D+{value}(?:\D|$)", content, re.IGNORECASE))
def score_evidence(evidence: object) -> tuple[dict[str, float], dict[str, Any]]:
if not isinstance(evidence, dict):
return _zero(), {"error": "evidence root is not an object"}
alpha_root = evidence.get("task_event_id")
scripts = [
row
for row in evidence.get("scripted_events", [])
if isinstance(row, dict) and row.get("label") == "beta-request"
]
beta_root = scripts[0].get("event_id") if len(scripts) == 1 else None
identities = (
evidence.get("identities")
if isinstance(evidence.get("identities"), dict)
else {}
)
user = identities.get("Priya Simone Patel", {})
agents = [
row
for row in identities.values()
if isinstance(row, dict) and row.get("role") == "orchestrator"
]
agent_pubkey = agents[0].get("pubkey") if len(agents) == 1 else None
messages = [row for row in evidence.get("messages", []) if isinstance(row, dict)]
candidates = [
row for row in messages if agent_pubkey and row.get("pubkey") == agent_pubkey
]
alpha_replies = [
row
for row in candidates
if row.get("reply_to_event_id") == alpha_root and _matches(row, "ALPHA", 346)
]
beta_replies = [
row
for row in candidates
if row.get("reply_to_event_id") == beta_root and _matches(row, "BETA", 41)
]
alpha = alpha_replies[-1] if alpha_replies else None
beta = beta_replies[-1] if beta_replies else None
alpha_content = str(alpha.get("content", "")) if alpha else ""
beta_content = str(beta.get("content", "")) if beta else ""
alpha_correct = float(alpha is not None)
beta_correct = float(beta is not None)
thread_isolation = float(
alpha is not None
and beta is not None
and len(candidates) == 2
and alpha.get("id") != beta.get("id")
and "BETA" not in alpha_content.upper()
and "ALPHA" not in beta_content.upper()
)
user_mentioned_twice = float(
alpha is not None
and beta is not None
and user.get("pubkey") in alpha.get("mentioned_pubkeys", [])
and user.get("pubkey") in beta.get("mentioned_pubkeys", [])
)
evidence_complete = float(
evidence.get("schema_version") == 1
and evidence.get("task_name") == "cross-thread-requests"
and evidence.get("truncated") is False
and isinstance(alpha_root, str)
and isinstance(beta_root, str)
and len(agents) == 1
)
values = (
alpha_correct,
beta_correct,
thread_isolation,
user_mentioned_twice,
evidence_complete,
)
metrics = {
"reward": float(all(value == 1.0 for value in values)),
"alpha_correct": alpha_correct,
"beta_correct": beta_correct,
"thread_isolation": thread_isolation,
"user_mentioned_twice": user_mentioned_twice,
"evidence_complete": evidence_complete,
}
return metrics, {
"alpha_root": alpha_root,
"beta_root": beta_root,
"alpha_message_id": alpha.get("id") if alpha else None,
"beta_message_id": beta.get("id") if beta else None,
"alpha_content": alpha_content,
"beta_content": beta_content,
}
def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("--evidence", type=Path, required=True)
parser.add_argument("--reward", type=Path, required=True)
parser.add_argument("--details", type=Path, required=True)
args = parser.parse_args()
try:
metrics, details = score_evidence(
json.loads(args.evidence.read_text(encoding="utf-8"))
)
except (OSError, json.JSONDecodeError) as error:
metrics, details = _zero(), {"error": str(error)}
args.reward.write_text(json.dumps(metrics, sort_keys=True) + "\n", encoding="utf-8")
args.details.write_text(
json.dumps(details, indent=2, sort_keys=True) + "\n", encoding="utf-8"
)
return 0
if __name__ == "__main__":
raise SystemExit(main())