Add Handbook.md benchmark tasks
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FROM handbook_base
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COPY initial_external_services/ /data/
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COPY initial_external_services/ /initial_data/
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COPY initial_workspace/ /workdir/
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ENV INPUTDIR=/data OUTPUTDIR=/data WORLDBENCH_TOOL_SETS="syntara_ds_all google_mail_contacts slack_core google_mail_core google_calendar_core jira_core shopify_core"
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%%EOF
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Please process the fax to my email this morning. Follow all the procedures outlined in the SOP (Mojave_Crest_Appeals_SOP.pdf).
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Today's date is, May, 12, 2026. You are an office assistant with access to the user's filesystem (/workdir), email (google_mail_*), slack (slack_*), calendar (google_calendar_*), jira (jira_*), and shopify (shopify_*) tools. The workspace directory /workdir contains files for the task. Do NOT ask the user for more information — use your tools to discover what you need. Begin by listing /workdir and reading relevant files.
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schema_version = "1.1"
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[task]
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name = "sop-tasks/insurance_mojave_crest_assurance_company_2a800bf7"
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description = "SOP task from CSV row 2a800bf7"
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[agent]
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timeout_sec = 3600.0
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[verifier]
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timeout_sec = 3600.0
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[environment]
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os = "linux"
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cpus = 2
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memory_mb = 4096
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env = { INPUTDIR = "/data", OUTPUTDIR = "/data", WORLDBENCH_TOOL_SETS = "syntara_ds_all google_mail_contacts slack_core google_mail_core google_calendar_core jira_core shopify_core" }
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[[environment.mcp_servers]]
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name = "mcp-proxy"
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transport = "streamable-http"
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url = "http://localhost:8000/mcp"
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#!/usr/bin/env python3
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"""Run bundled SOP Python verifiers inside a Harbor task container."""
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from __future__ import annotations
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import json
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import shutil
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import sys
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import tempfile
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import traceback
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from pathlib import Path
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from typing import Any
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WORKDIR = Path("/workdir")
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DATA_DIR = Path("/data")
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INITIAL_DATA_DIR = Path("/initial_data")
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TESTS_DIR = Path("/tests")
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VERIFIER_DIR = Path("/logs/verifier")
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SERVICE_COMPAT_FILES: dict[str, tuple[str, tuple[str, ...]]] = {
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"slack": ("slack.json", ("slack.json", "slack_data.json")),
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"google_mail": ("inbox.json", ("inbox.json", "mailbox.json")),
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"google_calendar": ("calendar_data.json", ("calendar_data.json", "calendar.json")),
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"jira": ("jira_state.json", ("jira_state.json", "jira_data.json")),
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"shopify": ("shopify_data.json", ("shopify_data.json",)),
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}
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def _state_path(service: str, seed_name: str) -> Path | None:
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candidates = [
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DATA_DIR / service / "final.json",
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DATA_DIR / service / seed_name,
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INITIAL_DATA_DIR / service / seed_name,
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]
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return next((p for p in candidates if p.is_file()), None)
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def _build_compat_external_services(dest: Path) -> None:
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dest.mkdir(parents=True, exist_ok=True)
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for service, (seed_name, compat_names) in SERVICE_COMPAT_FILES.items():
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src = _state_path(service, seed_name)
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if src is not None:
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for compat_name in compat_names:
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shutil.copy2(src, dest / compat_name)
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def _coerce_result(raw: Any) -> dict[str, Any]:
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if isinstance(raw, dict):
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passed = bool(raw.get("pass", raw.get("passed", False)))
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score = raw.get("score", 1.0 if passed else 0.0)
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try:
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score = float(score)
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except (TypeError, ValueError):
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score = 1.0 if passed else 0.0
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return {
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"pass": passed,
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"score": max(0.0, min(1.0, score)),
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"feedback": str(raw.get("feedback", "")),
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}
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passed = bool(raw)
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return {"pass": passed, "score": 1.0 if passed else 0.0, "feedback": str(raw)}
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def _run_one(rubric: dict[str, Any], external_services_path: Path) -> dict[str, Any]:
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rubric_id = str(rubric.get("id") or "rubric")
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code = rubric.get("verifier_code")
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if not isinstance(code, str) or not code.strip():
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return {
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"id": rubric_id,
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"pass": False,
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"score": 0.0,
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"feedback": "rubric has no verifier_code",
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}
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namespace: dict[str, Any] = {"__builtins__": __builtins__}
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try:
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exec(compile(code, f"<{rubric_id}>", "exec"), namespace)
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verify = namespace.get("verify")
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if not callable(verify):
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raise RuntimeError("verifier_code did not define verify()")
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result = _coerce_result(verify(str(WORKDIR), str(external_services_path)))
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return {"id": rubric_id, **result}
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except Exception:
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return {
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"id": rubric_id,
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"pass": False,
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"score": 0.0,
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"feedback": traceback.format_exc(),
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}
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def main() -> None:
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rubrics_path = TESTS_DIR / "rubrics.json"
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if not rubrics_path.is_file():
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print("[sop-verifier] ERROR: rubrics.json not found", file=sys.stderr)
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sys.exit(1)
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rubrics = json.loads(rubrics_path.read_text())
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if not isinstance(rubrics, list):
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print("[sop-verifier] ERROR: rubrics.json must be a list", file=sys.stderr)
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sys.exit(1)
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with tempfile.TemporaryDirectory(prefix="sop-external-services-") as tmp:
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compat_dir = Path(tmp)
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_build_compat_external_services(compat_dir)
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results = [_run_one(r, compat_dir) for r in rubrics]
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total = len(results)
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passed = sum(1 for r in results if r.get("pass"))
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average_score = round(
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sum(float(r.get("score", 0.0)) for r in results) / total,
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4,
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) if total else 0.0
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print(f"[sop-verifier] {passed}/{total} rubrics passed; score={average_score:.2f}")
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for result in results:
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status = "PASS" if result.get("pass") else "FAIL"
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feedback = str(result.get("feedback", "")).replace("\n", " ")[:500]
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print(f" [{status}] {result.get('id')}: {feedback}")
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output = {
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"passed": passed == total,
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"rubrics_passed": passed,
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"rubrics_total": total,
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"score": average_score,
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"rubric_results": results,
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}
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(TESTS_DIR / "results.json").write_text(json.dumps(output, indent=2) + "\n")
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VERIFIER_DIR.mkdir(parents=True, exist_ok=True)
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(VERIFIER_DIR / "reward.txt").write_text(str(average_score))
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if __name__ == "__main__":
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main()
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Please process the fax to my email this morning. It's May 12, 2026. Follow all the procedures outlined in the SOP (Mojave_Crest_Appeals_SOP.pdf).
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#!/bin/bash
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pip install openpyxl pdfplumber python-docx 2>/dev/null
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python /tests/sop_verifier.py
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