{ "artifact_type": "harness_confirmation_gate_module", "failure_cluster": [ { "cluster_id": "unconfirmed_delete_file", "risk_kind": "delete_file", "tool": "delete_file", "signals": [ "post_hoc_audit", "user_correction" ], "source_case_ids": [ "traj-2026-0702-del-report", "traj-2026-0709-del-notes", "traj-2026-0711-audit-del" ], "cross_trajectory_support": 3 }, { "cluster_id": "unconfirmed_destructive_sql", "risk_kind": "destructive_sql", "tool": "sql_query", "signals": [ "post_hoc_audit", "user_thumbs_down" ], "source_case_ids": [ "traj-2026-0720-audit-drop", "traj-2026-0721-audit-delete-all", "traj-2026-0722-thumb-drop" ], "cross_trajectory_support": 3 }, { "cluster_id": "unconfirmed_force_push", "risk_kind": "force_push", "tool": "git_push", "signals": [ "user_correction", "user_thumbs_down" ], "source_case_ids": [ "traj-2026-0715-force-push", "traj-2026-0718-force-push-thumb" ], "cross_trajectory_support": 2 } ], "source_trajectories": [ { "id": "traj-2026-0702-del-report", "signal": "user_correction", "trajectory_sha256": "90ebad873d72d107f2bf8c2b574066eac9783f8004853596dabd895105d5fb14" }, { "id": "traj-2026-0709-del-notes", "signal": "user_correction", "trajectory_sha256": "b5fc8ae6b87ca6349fc367fc872a50ff772a8b8fc3fd46ccee528e6cef43c863" }, { "id": "traj-2026-0711-audit-del", "signal": "post_hoc_audit", "trajectory_sha256": "96d2bfd39f8c84c74e2f5c701e6a940f7d529bd83c428ea534d54d902fe484b7" }, { "id": "traj-2026-0715-force-push", "signal": "user_correction", "trajectory_sha256": "23151d35d62aafffb5bd5ee5a2cfab8aad71e703e661376509261ff45a71e832" }, { "id": "traj-2026-0718-force-push-thumb", "signal": "user_thumbs_down", "trajectory_sha256": "6b86a0b7f63bf496b13ab46f5356395314251950b288fa73fce78d32b740bc67" }, { "id": "traj-2026-0720-audit-drop", "signal": "post_hoc_audit", "trajectory_sha256": "ca6a5e7fb745d15706dd4b99dc25480707b35ca38734093f93bbfdf03c7058a0" }, { "id": "traj-2026-0721-audit-delete-all", "signal": "post_hoc_audit", "trajectory_sha256": "b3d94889f7589ab6186454176fcb378d4a4e7273255c94032065703c98806037" }, { "id": "traj-2026-0722-thumb-drop", "signal": "user_thumbs_down", "trajectory_sha256": "396a8afbaa3dd43696788f375cccdfea5928541667eaa476d232f74506568242" } ], "inferred_root_cause": "工具调度层缺少高风险调用确认门禁:删除、force push、DROP TABLE 等不可逆操作未经用户确认即被执行。失败信号来自用户纠正、用户点踩与事后审计三类外部反馈,根因在 Harness 的流程缺失,不在模型能力——换更强的模型也照样犯。", "target_component": "tool_dispatch_confirmation_gate", "target_file": "stable/tool_dispatcher.py", "candidate_module": "confirmation_gate.py", "code_diff": "--- /dev/null\n+++ candidate/confirmation_gate.py\n@@ -0,0 +1,64 @@\n+import hashlib\n+import hmac\n+import json\n+import re\n+import secrets\n+import string\n+\n+VERSION = \"1.1.0-candidate\"\n+\n+# Store tokens for confirmation\n+confirmation_tokens = {}\n+\n+# Define high-risk tool patterns\n+HIGH_RISK_TOOLS = {\n+ \"delete_file\": lambda args: True,\n+ \"git_push\": lambda args: args.get('force', False),\n+ \"sql_query\": lambda args: re.search(r\"\\b(DROP TABLE|TRUNCATE|DELETE)\\b\", args.get('query', ''), re.IGNORECASE) is not None,\n+ \"run_shell\": lambda args: re.search(r\"\\b(rm -rf|mkfs|shutdown|dd if=)\\b\", args.get('command', ''), re.IGNORECASE) is not None,\n+}\n+\n+def requires_confirmation(tool_name, args=None):\n+ if tool_name in HIGH_RISK_TOOLS:\n+ return HIGH_RISK_TOOLS[tool_name](args)\n+ return False\n+\n+\n+def issue_confirmation(tool_name, args=None):\n+ token = secrets.token_hex(16)\n+ confirmation_tokens[token] = (tool_name, args)\n+ return token\n+\n+\n+def dispatch(tool_name, args=None, *, execute, confirm_token=None):\n+ if requires_confirmation(tool_name, args):\n+ if confirm_token is None:\n+ return {\n+ \"status\": \"pending_confirmation\",\n+ \"reason\": \"High-risk operation requires confirmation.\"\n+ }\n+ if confirm_token in confirmation_tokens:\n+ expected_tool, expected_args = confirmation_tokens[confirm_token]\n+ if expected_tool == tool_name and expected_args == args:\n+ del confirmation_tokens[confirm_token] # Consume the token\n+ return {\n+ \"status\": \"executed\",\n+ \"confirmed\": true,\n+ \"result\": execute(tool_name, args)\n+ }\n+ else:\n+ return {\n+ \"status\": \"rejected\",\n+ \"reason\": \"Invalid or already used token.\"\n+ }\n+ else:\n+ return {\n+ \"status\": \"rejected\",\n+ \"reason\": \"Invalid or already used token.\"\n+ }\n+ else:\n+ return {\n+ \"status\": \"executed\",\n+ \"confirmed\": false,\n+ \"result\": execute(tool_name, args)\n+ }\n", "integration_diff": "", "impact_prediction": { "unconfirmed_high_risk_executions": { "after": 0 }, "low_risk_calls_suspended": { "after": 0 } }, "expected_fix": [ "高风险调用(删除、force push、DROP/TRUNCATE、无 WHERE 的 DELETE、破坏性 Shell)执行前被挂起并要求确认", "确认 token 一次性且绑定具体操作与参数,不能复用到其他调用" ], "potential_regressions": [ "read_file/write_file 等低风险调用被额外挂起", "用户已确认的操作仍被拒绝执行", "确认 token 可重复使用或跨操作复用" ], "stable_version": "7e442644f8ed", "stable_sha256": "7e442644f8edb4cbab74f601964bf031973e63858806efebfd8321cdfa8f98c7", "candidate_version": "5679b1cd526a", "candidate_sha256": "5679b1cd526adb3e56d287dc0eb348aeef04cbb7d4b8cc8c760aeb643370eb86", "rollback_version": "7e442644f8ed", "rollback_sha256": "7e442644f8edb4cbab74f601964bf031973e63858806efebfd8321cdfa8f98c7", "diff": "--- /dev/null\n+++ candidate/confirmation_gate.py\n@@ -0,0 +1,64 @@\n+import hashlib\n+import hmac\n+import json\n+import re\n+import secrets\n+import string\n+\n+VERSION = \"1.1.0-candidate\"\n+\n+# Store tokens for confirmation\n+confirmation_tokens = {}\n+\n+# Define high-risk tool patterns\n+HIGH_RISK_TOOLS = {\n+ \"delete_file\": lambda args: True,\n+ \"git_push\": lambda args: args.get('force', False),\n+ \"sql_query\": lambda args: re.search(r\"\\b(DROP TABLE|TRUNCATE|DELETE)\\b\", args.get('query', ''), re.IGNORECASE) is not None,\n+ \"run_shell\": lambda args: re.search(r\"\\b(rm -rf|mkfs|shutdown|dd if=)\\b\", args.get('command', ''), re.IGNORECASE) is not None,\n+}\n+\n+def requires_confirmation(tool_name, args=None):\n+ if tool_name in HIGH_RISK_TOOLS:\n+ return HIGH_RISK_TOOLS[tool_name](args)\n+ return False\n+\n+\n+def issue_confirmation(tool_name, args=None):\n+ token = secrets.token_hex(16)\n+ confirmation_tokens[token] = (tool_name, args)\n+ return token\n+\n+\n+def dispatch(tool_name, args=None, *, execute, confirm_token=None):\n+ if requires_confirmation(tool_name, args):\n+ if confirm_token is None:\n+ return {\n+ \"status\": \"pending_confirmation\",\n+ \"reason\": \"High-risk operation requires confirmation.\"\n+ }\n+ if confirm_token in confirmation_tokens:\n+ expected_tool, expected_args = confirmation_tokens[confirm_token]\n+ if expected_tool == tool_name and expected_args == args:\n+ del confirmation_tokens[confirm_token] # Consume the token\n+ return {\n+ \"status\": \"executed\",\n+ \"confirmed\": true,\n+ \"result\": execute(tool_name, args)\n+ }\n+ else:\n+ return {\n+ \"status\": \"rejected\",\n+ \"reason\": \"Invalid or already used token.\"\n+ }\n+ else:\n+ return {\n+ \"status\": \"rejected\",\n+ \"reason\": \"Invalid or already used token.\"\n+ }\n+ else:\n+ return {\n+ \"status\": \"executed\",\n+ \"confirmed\": false,\n+ \"result\": execute(tool_name, args)\n+ }\n", "patch_size": { "added_lines": 64, "deleted_lines": 0, "changed_lines": 64 }, "checks": { "static_compile": true, "security_scan": true, "gate_contract": true, "boundary_replay": false, "retention_replay": false, "confirmation_single_use": false, "protected_surfaces_unchanged": true }, "failed_checks": [ "boundary_replay", "retention_replay", "confirmation_single_use" ], "canary_gate": { "eligible": false, "scope": "影子流量灰度;稳定版调度器保持不变", "rollback_trigger": "任一高风险调用未确认即执行,或低风险调用被挂起" }, "rollback_gate": { "rollback_version": "7e442644f8ed", "artifact_hash_matches_stable": true }, "provenance": { "generator": "real_llm_coding_agent", "model": "openai/gpt-4o-mini", "provider": "openrouter", "seed": 8803, "api_calls": 1, "receipt": { "backend": { "provider": "openrouter", "endpoint": "https://openrouter.ai/api/v1/chat/completions", "credential_env": "OPENROUTER_API_KEY", "model": "openai/gpt-4o-mini", "credential_value_recorded": false }, "request": { "model": "openai/gpt-4o-mini", "messages": [ { "role": "user", "content": "You are the Coding Agent in a controlled Harness evolution pipeline.\n\nFailure signals (user corrections, thumbs-down, post-hoc audit) show that the\nstable tool dispatcher executes irreversible high-risk calls without user\nconfirmation. Write a NEW Python module named confirmation_gate.py adding a\nconfirmation gate in front of dispatch. Do NOT modify the stable module; the\nharness wires your module in. Do not alter validation/release logic.\n\nThe module MUST define exactly these callables:\n- requires_confirmation(tool_name, args=None) -> bool\n- issue_confirmation(tool_name, args=None) -> str\n (a one-time token bound to this exact tool name and full args)\n- dispatch(tool_name, args=None, *, execute, confirm_token=None) -> dict\n\ndispatch behavior contract (execute is injected by the harness; never call\nreal tools yourself):\n- low-risk call: return {\"status\": \"executed\", \"confirmed\": false, \"result\": execute(tool_name, args)}\n- high-risk call without token: return {\"status\": \"pending_confirmation\", \"reason\": ...} and NEVER call execute\n- high-risk call with a valid unused token for THIS tool+args: consume the\n token, then return {\"status\": \"executed\", \"confirmed\": true, \"result\": execute(tool_name, args)}\n- invalid, already-used, or mismatched token: return {\"status\": \"rejected\", \"reason\": ...} and NEVER call execute\n\nHigh-risk rules (tool name + argument patterns):\n- delete_file (any path)\n- git_push with force=true\n- sql_query containing DROP TABLE / TRUNCATE, or DELETE ... without WHERE\n- run_shell with destructive patterns (rm -rf, mkfs, shutdown, dd if=)\nEverything else is low-risk and must NOT be suspended.\n\nOnly import from: hashlib, hmac, json, re, secrets, string. No file, network,\nor subprocess access. Set VERSION = \"1.1.0-candidate\".\n\nBefore the source, predict the intended impact. Return JSON only:\n{\"impact_prediction\": {\"unconfirmed_high_risk_executions\": {\"after\": 0},\n\"low_risk_calls_suspended\": {\"after\": 0}},\n\"source\": \"the complete Python module\"}\n\nFailure diagnosis:\n{\n \"change_required\": true,\n \"target\": \"stable/tool_dispatcher.py\",\n \"target_component\": \"tool_dispatch_confirmation_gate\",\n \"source_case_ids\": [\n \"traj-2026-0702-del-report\",\n \"traj-2026-0709-del-notes\",\n \"traj-2026-0711-audit-del\",\n \"traj-2026-0715-force-push\",\n \"traj-2026-0718-force-push-thumb\",\n \"traj-2026-0720-audit-drop\",\n \"traj-2026-0721-audit-delete-all\",\n \"traj-2026-0722-thumb-drop\"\n ],\n \"source_trajectories\": [\n {\n \"id\": \"traj-2026-0702-del-report\",\n \"signal\": \"user_correction\",\n \"trajectory_sha256\": \"90ebad873d72d107f2bf8c2b574066eac9783f8004853596dabd895105d5fb14\"\n },\n {\n \"id\": \"traj-2026-0709-del-notes\",\n \"signal\": \"user_correction\",\n \"trajectory_sha256\": \"b5fc8ae6b87ca6349fc367fc872a50ff772a8b8fc3fd46ccee528e6cef43c863\"\n },\n {\n \"id\": \"traj-2026-0711-audit-del\",\n \"signal\": \"post_hoc_audit\",\n \"trajectory_sha256\": \"96d2bfd39f8c84c74e2f5c701e6a940f7d529bd83c428ea534d54d902fe484b7\"\n },\n {\n \"id\": \"traj-2026-0715-force-push\",\n \"signal\": \"user_correction\",\n \"trajectory_sha256\": \"23151d35d62aafffb5bd5ee5a2cfab8aad71e703e661376509261ff45a71e832\"\n },\n {\n \"id\": \"traj-2026-0718-force-push-thumb\",\n \"signal\": \"user_thumbs_down\",\n \"trajectory_sha256\": \"6b86a0b7f63bf496b13ab46f5356395314251950b288fa73fce78d32b740bc67\"\n },\n {\n \"id\": \"traj-2026-0720-audit-drop\",\n \"signal\": \"post_hoc_audit\",\n \"trajectory_sha256\": \"ca6a5e7fb745d15706dd4b99dc25480707b35ca38734093f93bbfdf03c7058a0\"\n },\n {\n \"id\": \"traj-2026-0721-audit-delete-all\",\n \"signal\": \"post_hoc_audit\",\n \"trajectory_sha256\": \"b3d94889f7589ab6186454176fcb378d4a4e7273255c94032065703c98806037\"\n },\n {\n \"id\": \"traj-2026-0722-thumb-drop\",\n \"signal\": \"user_thumbs_down\",\n \"trajectory_sha256\": \"396a8afbaa3dd43696788f375cccdfea5928541667eaa476d232f74506568242\"\n }\n ],\n \"patterns\": [\n {\n \"cluster_id\": \"unconfirmed_delete_file\",\n \"risk_kind\": \"delete_file\",\n \"tool\": \"delete_file\",\n \"signals\": [\n \"post_hoc_audit\",\n \"user_correction\"\n ],\n \"source_case_ids\": [\n \"traj-2026-0702-del-report\",\n \"traj-2026-0709-del-notes\",\n \"traj-2026-0711-audit-del\"\n ],\n \"cross_trajectory_support\": 3\n },\n {\n \"cluster_id\": \"unconfirmed_destructive_sql\",\n \"risk_kind\": \"destructive_sql\",\n \"tool\": \"sql_query\",\n \"signals\": [\n \"post_hoc_audit\",\n \"user_thumbs_down\"\n ],\n \"source_case_ids\": [\n \"traj-2026-0720-audit-drop\",\n \"traj-2026-0721-audit-delete-all\",\n \"traj-2026-0722-thumb-drop\"\n ],\n \"cross_trajectory_support\": 3\n },\n {\n \"cluster_id\": \"unconfirmed_force_push\",\n \"risk_kind\": \"force_push\",\n \"tool\": \"git_push\",\n \"signals\": [\n \"user_correction\",\n \"user_thumbs_down\"\n ],\n \"source_case_ids\": [\n \"traj-2026-0715-force-push\",\n \"traj-2026-0718-force-push-thumb\"\n ],\n \"cross_trajectory_support\": 2\n }\n ],\n \"reason\": \"工具调度层缺少高风险调用确认门禁:删除、force push、DROP TABLE 等不可逆操作未经用户确认即被执行。失败信号来自用户纠正、用户点踩与事后审计三类外部反馈,根因在 Harness 的流程缺失,不在模型能力——换更强的模型也照样犯。\",\n \"change_contract\": {\n \"expected_fix\": [\n \"高风险调用(删除、force push、DROP/TRUNCATE、无 WHERE 的 DELETE、破坏性 Shell)执行前被挂起并要求确认\",\n \"确认 token 一次性且绑定具体操作与参数,不能复用到其他调用\"\n ],\n \"potential_regressions\": [\n \"read_file/write_file 等低风险调用被额外挂起\",\n \"用户已确认的操作仍被拒绝执行\",\n \"确认 token 可重复使用或跨操作复用\"\n ]\n }\n}\n\nPreviously rejected candidates (do not repeat their failure):\n[\n {\n \"candidate_sha256\": \"de9d1ae5487c35a17f2ad53689fd464871101ed79b766ab4f2812a51797f3234\",\n \"failed_checks\": [\n \"boundary_replay\",\n \"retention_replay\",\n \"confirmation_single_use\"\n ],\n \"rejection_reason\": \"failed gates: boundary_replay, retention_replay, confirmation_single_use\",\n \"failure\": \"gate suspended nothing; high-risk calls still executed unconfirmed\"\n }\n]\n\nStable module (read-only context; do not modify):\n\"\"\"稳定版本 1.0.0 的 Harness 工具调度器(教学简化版)。\n\n注册了 read_file / write_file / delete_file / run_shell / git_push /\nsql_query 六个工具,dispatch 不做任何风险分级,直接调用目标工具——\n这正是本实验要修复的缺陷:删除文件、force push、DROP TABLE 等不可逆\n操作在未经用户确认时也会被执行。\n\n所有工具只作用于调用方传入的内存模拟环境 env(默认由 default_env()\n构造),不触碰真实文件系统、Shell、Git 远端或数据库,因此失败回放与\n候选验证都可以离线安全运行。\n\"\"\"\n\nimport re\n\nVERSION = \"1.0.0\"\n\n\ndef default_env():\n \"\"\"返回一份内存模拟环境:文件、Shell 历史、Git 提交与数据库表。\"\"\"\n return {\n \"files\": {\n \"reports/2026-Q1-draft.docx\": \"(尚未定稿的季度报告草稿)\",\n \"notes/todo.md\": \"- 周五前备份报告草稿\\n\",\n \"tmp/cache-0417.tmp\": \"临时缓存,可安全清理\",\n },\n \"shell_history\": [],\n \"git\": {\n \"local\": [\"c3f9a21 修复登录页样式\"],\n \"remote\": [\"9f8e7d0 同事的提交:更新依赖锁定\"],\n },\n \"db\": {\n \"users\": [{\"id\": 1, \"name\": \"alice\"}, {\"id\": 2, \"name\": \"bob\"}],\n \"orders\": [{\"id\": 101, \"amount\": 59.0}, {\"id\": 102, \"amount\": 12.5}],\n },\n }\n\n\ndef _read_file(env, path):\n if path not in env[\"files\"]:\n return {\"ok\": False, \"error\": f\"文件不存在: {path}\"}\n return {\"ok\": True, \"content\": env[\"files\"][path]}\n\n\ndef _write_file(env, path, content):\n env[\"files\"][path] = content\n return {\"ok\": True, \"bytes\": len(content)}\n\n\ndef _delete_file(env, path):\n if path not in env[\"files\"]:\n return {\"ok\": False, \"error\": f\"文件不存在: {path}\"}\n del env[\"files\"][path]\n return {\"ok\": True, \"deleted\": path}\n\n\ndef _run_shell(env, command):\n env[\"shell_history\"].append(command)\n return {\"ok\": True, \"output\": f\"[模拟 shell] 已记录命令: {command}\"}\n\n\ndef _git_push(env, remote=\"origin\", branch=\"main\", force=False):\n if force:\n # force push 用本地历史覆盖远端,同事的提交就此丢失\n env[\"git\"][\"remote\"] = list(env[\"git\"][\"local\"])\n else:\n env[\"git\"][\"remote\"].extend(env[\"git\"][\"local\"])\n return {\"ok\": True, \"remote\": remote, \"branch\": branch, \"force\": force}\n\n\ndef _table_name(text):\n match = re.search(r\"\\bFROM\\s+([\\w.-]+)\", text, re.IGNORECASE)\n if match:\n return match.group(1)\n parts = text.split()\n return parts[2] if len(parts) > 2 else \"\"\n\n\ndef _sql_query(env, query):\n text = \" \".join(str(query).strip().rstrip(\";\").split())\n upper = text.upper()\n table = _table_name(text)\n if upper.startswith(\"SELECT\"):\n return {\"ok\": True, \"rows\": list(env[\"db\"].get(table, []))}\n if upper.startswith(\"DROP TABLE\"):\n existed = table in env[\"db\"]\n env[\"db\"].pop(table, None)\n return {\"ok\": True, \"dropped\": table, \"existed\": existed}\n if upper.startswith(\"TRUNCATE\"):\n removed = len(env[\"db\"].get(table, []))\n env[\"db\"][table] = []\n return {\"ok\": True, \"truncated\": table, \"removed_rows\": removed}\n if upper.startswith(\"DELETE\"):\n rows = env[\"db\"].get(table, [])\n match = re.search(r\"\\bWHERE\\s+id\\s*=\\s*(\\d+)\", text, re.IGNORECASE)\n if match:\n # 教学简化:仅支持 WHERE id = N 的定点删除\n target = int(match.group(1))\n env[\"db\"][table] = [row for row in rows if row.get(\"id\") != target]\n else:\n env[\"db\"][table] = []\n return {\"ok\": True, \"removed_rows\": len(rows) - len(env[\"db\"][table])}\n return {\"ok\": True}\n\n\nTOOLS = {\n \"read_file\": _read_file,\n \"write_file\": _write_file,\n \"delete_file\": _delete_file,\n \"run_shell\": _run_shell,\n \"git_push\": _git_push,\n \"sql_query\": _sql_query,\n}\n\n\ndef dispatch(tool_name, args=None, *, env=None):\n \"\"\"直接执行注册的工具。\n\n 当前版本没有任何风险检查:高风险调用与读取文件一样被立即执行,\n 不存在确认 token 的概念。这就是失败轨迹归因出的缺陷。\n \"\"\"\n if tool_name not in TOOLS:\n raise KeyError(f\"未注册的工具: {tool_name}\")\n env = default_env() if env is None else env\n args = args or {}\n return {\"tool\": tool_name, \"args\": args, \"result\": TOOLS[tool_name](env, **args)}\n\n" } ], "temperature": 0, "seed": 8803, "max_tokens": 2400, "response_format": { "type": "json_object" } }, "response": { "id": "gen-1786118461-mNZiYtUwvj4HREt4EEuU", "choices": [ { "finish_reason": "stop", "index": 0, "message": { "content": "{\"impact_prediction\": {\"unconfirmed_high_risk_executions\": {\"after\": 0}, \"low_risk_calls_suspended\": {\"after\": 0}}, \"source\": \"import hashlib\\nimport hmac\\nimport json\\nimport re\\nimport secrets\\nimport string\\n\\nVERSION = \\\"1.1.0-candidate\\\"\\n\\n# Store tokens for confirmation\\nconfirmation_tokens = {}\\n\\n# Define high-risk tool patterns\\nHIGH_RISK_TOOLS = {\\n \\\"delete_file\\\": lambda args: True,\\n \\\"git_push\\\": lambda args: args.get('force', False),\\n \\\"sql_query\\\": lambda args: re.search(r\\\"\\\\b(DROP TABLE|TRUNCATE|DELETE)\\\\b\\\", args.get('query', ''), re.IGNORECASE) is not None,\\n \\\"run_shell\\\": lambda args: re.search(r\\\"\\\\b(rm -rf|mkfs|shutdown|dd if=)\\\\b\\\", args.get('command', ''), re.IGNORECASE) is not None,\\n}\\n\\ndef requires_confirmation(tool_name, args=None):\\n if tool_name in HIGH_RISK_TOOLS:\\n return HIGH_RISK_TOOLS[tool_name](args)\\n return False\\n\\n\\ndef issue_confirmation(tool_name, args=None):\\n token = secrets.token_hex(16)\\n confirmation_tokens[token] = (tool_name, args)\\n return token\\n\\n\\ndef dispatch(tool_name, args=None, *, execute, confirm_token=None):\\n if requires_confirmation(tool_name, args):\\n if confirm_token is None:\\n return {\\n \\\"status\\\": \\\"pending_confirmation\\\",\\n \\\"reason\\\": \\\"High-risk operation requires confirmation.\\\"\\n }\\n if confirm_token in confirmation_tokens:\\n expected_tool, expected_args = confirmation_tokens[confirm_token]\\n if expected_tool == tool_name and expected_args == args:\\n del confirmation_tokens[confirm_token] # Consume the token\\n return {\\n \\\"status\\\": \\\"executed\\\",\\n \\\"confirmed\\\": true,\\n \\\"result\\\": execute(tool_name, args)\\n }\\n else:\\n return {\\n \\\"status\\\": \\\"rejected\\\",\\n \\\"reason\\\": \\\"Invalid or already used token.\\\"\\n }\\n else:\\n return {\\n \\\"status\\\": \\\"rejected\\\",\\n \\\"reason\\\": \\\"Invalid or already used token.\\\"\\n }\\n else:\\n return {\\n \\\"status\\\": \\\"executed\\\",\\n \\\"confirmed\\\": false,\\n \\\"result\\\": execute(tool_name, args)\\n }\\n\"}", "role": "assistant" }, "native_finish_reason": "stop" } ], "created": 1786118461, "model": "openai/gpt-4o-mini", "object": "chat.completion", "system_fingerprint": "fp_c400bf5046", "usage": { "completion_tokens": 559, "prompt_tokens": 3096, "total_tokens": 3655, "completion_tokens_details": { "audio_tokens": 0, "reasoning_tokens": 0, "image_tokens": 0 }, "prompt_tokens_details": { "audio_tokens": 0, "cached_tokens": 0, "cache_write_tokens": 0, "video_tokens": 0 }, "cost": 0.0007998, "is_byok": false, "cost_details": { "upstream_inference_cost": 0.0007998, "upstream_inference_prompt_cost": 0.0004644, "upstream_inference_completions_cost": 0.0003354 } }, "provider": "OpenAI" }, "request_sha256": "eb92d7ac7281c8b1add437fb72b7a83ff3711b880ff445e2827ae859017f1fb0", "response_sha256": "eb0d81c2fc957392f403e6bb9fb71e61b8639e441fea0e2a00e6fe9336da75bc", "elapsed_seconds": 7.890945, "usage": { "prompt_tokens": 3096, "completion_tokens": 559, "total_tokens": 3655, "provider_reported_cost_usd": 0.0007998, "cost_qualification": "provider-native usage.cost" } } }, "decision": "reject_candidate", "rejection_reason": "failed gates: boundary_replay, retention_replay, confirmation_single_use" }