live-session-bench-raw.json

{
  "rows": [
    {
      "id": "p1-hash-password",
      "prompt": "Find where hash_password is defined and list the files that call it. Don't make changes, just report findings.",
      "control": [
        {
          "wall_s": 16.98931884765625,
          "duration_ms": 16342,
          "duration_api_ms": 16119,
          "num_turns": 3,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Defined:** `src/utils/crypto.py:6`\n\n**Callers:**\n- `tests/test_crypto.py` \u2014 imports and calls it directly\n\nNo other files in `src/` call `hash_password`.",
          "total_cost_usd": 0.0398088,
          "input_tokens": 5,
          "output_tokens": 300,
          "cache_read_input_tokens": 44271,
          "cache_creation_input_tokens": 5870,
          "total_tokens": 50446
        },
        {
          "wall_s": 5.849937915802002,
          "duration_ms": 5262,
          "duration_api_ms": 5093,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Defined:** `src/utils/crypto.py:6`\n\n**Callers:**\n- `tests/test_crypto.py` \u2014 imported and called in test\n\nNo production code outside `crypto.py` calls it directly.",
          "total_cost_usd": 0.0136761,
          "input_tokens": 4,
          "output_tokens": 191,
          "cache_read_input_tokens": 33022,
          "cache_creation_input_tokens": 238,
          "total_tokens": 33455
        },
        {
          "wall_s": 6.449676036834717,
          "duration_ms": 5879,
          "duration_api_ms": 5705,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Defined:** `src/utils/crypto.py:6`\n\n**Callers:**\n- `tests/test_crypto.py` \u2014 imports and calls it directly\n\nNo production code outside `crypto.py` itself calls `hash_password` (only the test does).",
          "total_cost_usd": 0.01382985,
          "input_tokens": 4,
          "output_tokens": 201,
          "cache_read_input_tokens": 33022,
          "cache_creation_input_tokens": 239,
          "total_tokens": 33466
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      ],
      "treatment": [
        {
          "wall_s": 5.887358903884888,
          "duration_ms": 5315,
          "duration_api_ms": 5145,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Defined:** `src/utils/crypto.py:6`\n\n**Callers:** `tests/test_crypto.py` (only test file; no production callers found)",
          "total_cost_usd": 0.0324546,
          "input_tokens": 4,
          "output_tokens": 172,
          "cache_read_input_tokens": 27667,
          "cache_creation_input_tokens": 5750,
          "total_tokens": 33593
        },
        {
          "wall_s": 9.466454029083252,
          "duration_ms": 8876,
          "duration_api_ms": 8683,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Defined:** `src/utils/crypto.py:6`\n\n**Callers:** `tests/test_crypto.py` (only test file; no production code calls it directly)",
          "total_cost_usd": 0.01338195,
          "input_tokens": 4,
          "output_tokens": 183,
          "cache_read_input_tokens": 33254,
          "cache_creation_input_tokens": 173,
          "total_tokens": 33614
        },
        {
          "wall_s": 5.893524169921875,
          "duration_ms": 5274,
          "duration_api_ms": 5096,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "Defined at `src/utils/crypto.py:6`. Called in:\n- `tests/test_crypto.py`\n\nNo production code outside `crypto.py` itself calls it.",
          "total_cost_usd": 0.013156949999999999,
          "input_tokens": 4,
          "output_tokens": 171,
          "cache_read_input_tokens": 33254,
          "cache_creation_input_tokens": 161,
          "total_tokens": 33590
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      ]
    },
    {
      "id": "p2-session-ttl",
      "prompt": "I want to make the session TTL configurable per environment. Which files do I need to touch? Name them.",
      "control": [
        {
          "wall_s": 11.399590253829956,
          "duration_ms": 10815,
          "duration_api_ms": 10640,
          "num_turns": 4,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "Three files:\n\n1. `src/config/settings.py` \u2014 add `SESSION_TTL` field to `Settings` (line 5), read from env in `load_config` (line 12)\n2. `src/auth/session.py` \u2014 use `settings.SESSION_TTL` in `create_session` (line 17) instead of any hardcoded value\n3. `tests/test_session.py` \u2014 `test_create_session_uses_settings` (line 11) already tests this path; update it to cover TTL env variance",
          "total_cost_usd": 0.0515316,
          "input_tokens": 6,
          "output_tokens": 363,
          "cache_read_input_tokens": 44387,
          "cache_creation_input_tokens": 8734,
          "total_tokens": 53490
        },
        {
          "wall_s": 11.785001039505005,
          "duration_ms": 11174,
          "duration_api_ms": 10989,
          "num_turns": 4,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "Two files:\n\n1. **`src/config/settings.py`** \u2014 add `SESSION_TTL` to the `Settings` class, read from env var\n2. **`src/auth/session.py`** \u2014 consume `settings.SESSION_TTL` in `create_session`\n\n`tests/test_session.py` already has `test_create_session_uses_settings` \u2014 update it to cover the TTL env var case.",
          "total_cost_usd": 0.05101635,
          "input_tokens": 6,
          "output_tokens": 330,
          "cache_read_input_tokens": 44382,
          "cache_creation_input_tokens": 8729,
          "total_tokens": 53447
        },
        {
          "wall_s": 9.01515507698059,
          "duration_ms": 8406,
          "duration_api_ms": 8236,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "Three files:\n\n1. `src/config/settings.py` \u2014 `SESSION_TTL` env var is already read here (line 7); add any per-env logic here.\n2. `src/auth/session.py` \u2014 consumes `settings.session_ttl` (line 21); no change needed unless TTL enforcement logic changes.\n3. `src/db/migrations.py` \u2014 only if you need `expires_at` to be set/checked from TTL (currently it's a column but not populated from `session_ttl`).\n\n",
          "total_cost_usd": 0.01628235,
          "input_tokens": 4,
          "output_tokens": 350,
          "cache_read_input_tokens": 33022,
          "cache_creation_input_tokens": 297,
          "total_tokens": 33673
        }
      ],
      "treatment": [
        {
          "wall_s": 5.492900133132935,
          "duration_ms": 4900,
          "duration_api_ms": 4754,
          "num_turns": 1,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "Three files:\n\n1. `src/config/settings.py` \u2014 add `SESSION_TTL` env var\n2. `src/auth/session.py` \u2014 read `settings.SESSION_TTL` instead of hardcoded value\n3. `tests/test_session.py` \u2014 update any tests that assume a fixed TTL",
          "total_cost_usd": 0.027680999999999997,
          "input_tokens": 3,
          "output_tokens": 208,
          "cache_read_input_tokens": 11040,
          "cache_creation_input_tokens": 5664,
          "total_tokens": 16915
        },
        {
          "wall_s": 9.41461992263794,
          "duration_ms": 8836,
          "duration_api_ms": 8667,
          "num_turns": 3,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "`src/config/settings.py` \u2014 add env var per environment (already reads `SESSION_TTL` from env, so just set it in your env configs).\n\n`src/auth/session.py` \u2014 already consumes `settings.session_ttl`.\n\n`tests/test_session.py` \u2014 update if tests hardcode a TTL value.\n\nThat's it \u2014 likely only `src/config/settings.py` if you need to change defaults or add environment-specific logic.",
          "total_cost_usd": 0.0187569,
          "input_tokens": 4,
          "output_tokens": 463,
          "cache_read_input_tokens": 33408,
          "cache_creation_input_tokens": 474,
          "total_tokens": 34349
        },
        {
          "wall_s": 4.644388198852539,
          "duration_ms": 4046,
          "duration_api_ms": 3927,
          "num_turns": 1,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "`src/config/settings.py` \u2014 add `SESSION_TTL` env var with a default.  \n`src/auth/session.py` \u2014 replace hardcoded TTL with `settings.SESSION_TTL`.",
          "total_cost_usd": 0.007660199999999999,
          "input_tokens": 3,
          "output_tokens": 176,
          "cache_read_input_tokens": 16704,
          "cache_creation_input_tokens": 0,
          "total_tokens": 16883
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      ]
    },
    {
      "id": "p3-rate-limit",
      "prompt": "Where is RATE_LIMIT_CONFIG used and how would I expose it through the Settings class? Just list the files and the rough change needed.",
      "control": [
        {
          "wall_s": 13.623526811599731,
          "duration_ms": 13051,
          "duration_api_ms": 12799,
          "num_turns": 5,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Used in:**\n- `src/api/rate_limit.py:5` \u2014 defined as module-level dict, consumed at line 15 in `rate_limit_decorator`\n- `tests/test_rate_limit.py:2,6,7` \u2014 imported directly and asserted against\n\n**Change needed:**\n\n1. `src/config/settings.py` \u2014 add two fields to `Settings.__init__`:\n   ```python\n   self.rate_limit_default = int(os.environ.get(\"RATE_LIMIT_DEFAULT\", \"60\"))\n   self.rate_limit_login ",
          "total_cost_usd": 0.05350515,
          "input_tokens": 6,
          "output_tokens": 661,
          "cache_read_input_tokens": 62228,
          "cache_creation_input_tokens": 6641,
          "total_tokens": 69536
        },
        {
          "wall_s": 13.302045345306396,
          "duration_ms": 12721,
          "duration_api_ms": 12451,
          "num_turns": 5,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Used in:**\n- `src/api/rate_limit.py` \u2014 defined at module level; `rate_limit_decorator` reads `default_per_minute` from it\n- `tests/test_rate_limit.py` \u2014 imports and asserts on its values directly\n\n**To expose via `Settings`:**\n\n1. **`src/config/settings.py`** \u2014 add three fields to `__init__`:\n   ```python\n   self.rate_limit_default = int(os.environ.get(\"RATE_LIMIT_DEFAULT\", \"60\"))\n   self.rate_l",
          "total_cost_usd": 0.0536526,
          "input_tokens": 6,
          "output_tokens": 627,
          "cache_read_input_tokens": 61007,
          "cache_creation_input_tokens": 6914,
          "total_tokens": 68554
        },
        {
          "wall_s": 11.480269193649292,
          "duration_ms": 10836,
          "duration_api_ms": 10581,
          "num_turns": 4,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Files:**\n- `src/api/rate_limit.py` \u2014 defines `RATE_LIMIT_CONFIG`, referenced in `rate_limit_decorator`\n- `tests/test_rate_limit.py` \u2014 imports and asserts the dict values directly\n\n**Change needed:**\n\nIn `Settings.__init__`, add:\n```python\nself.rate_limit_default = int(os.environ.get(\"RATE_LIMIT_DEFAULT\", \"60\"))\nself.rate_limit_login = int(os.environ.get(\"RATE_LIMIT_LOGIN\", \"5\"))\n```\n\nIn `rate_li",
          "total_cost_usd": 0.03099225,
          "input_tokens": 6,
          "output_tokens": 473,
          "cache_read_input_tokens": 66485,
          "cache_creation_input_tokens": 1049,
          "total_tokens": 68013
        }
      ],
      "treatment": [
        {
          "wall_s": 9.221302032470703,
          "duration_ms": 8660,
          "duration_api_ms": 8493,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Files:**\n- `src/api/rate_limit.py` \u2014 defines `RATE_LIMIT_CONFIG` dict, referenced in `rate_limit_decorator`\n- `tests/test_rate_limit.py` \u2014 imports and asserts values directly\n\n**Change needed:**\n\n1. `src/config/settings.py` \u2014 add `rate_limit` fields to `Settings` (e.g. `rate_limit_default_per_minute: int = 60`, `rate_limit_login_per_minute: int = 5`)\n2. `src/api/rate_limit.py` \u2014 replace the `RAT",
          "total_cost_usd": 0.0359268,
          "input_tokens": 4,
          "output_tokens": 345,
          "cache_read_input_tokens": 27741,
          "cache_creation_input_tokens": 5978,
          "total_tokens": 34068
        },
        {
          "wall_s": 11.156697273254395,
          "duration_ms": 10579,
          "duration_api_ms": 10350,
          "num_turns": 4,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Files involved:**\n- `src/api/rate_limit.py` \u2014 defines `RATE_LIMIT_CONFIG`, reads it in `rate_limit_decorator`\n- `tests/test_rate_limit.py` \u2014 imports and asserts on it directly\n\n**Change needed:**\n\n`src/config/settings.py` \u2014 add three fields to `Settings.__init__`:\n```python\nself.rate_limit_default = int(os.environ.get(\"RATE_LIMIT_DEFAULT\", \"60\"))\nself.rate_limit_login = int(os.environ.get(\"RATE_",
          "total_cost_usd": 0.04744605,
          "input_tokens": 271,
          "output_tokens": 541,
          "cache_read_input_tokens": 44831,
          "cache_creation_input_tokens": 6685,
          "total_tokens": 52328
        },
        {
          "wall_s": 12.060543060302734,
          "duration_ms": 11478,
          "duration_api_ms": 11270,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Files:**\n- `src/api/rate_limit.py` \u2014 defines it (lines 5\u201313), reads `default_per_minute` at line 15\n- `tests/test_rate_limit.py` \u2014 imports and asserts its values\n\n**Change needed:**\n\n1. **`src/config/settings.py`** \u2014 add fields to `Settings`:\n   ```python\n   rate_limit_default_per_minute: int = int(os.getenv(\"RATE_LIMIT_DEFAULT\", 60))\n   rate_limit_login_per_minute: int = int(os.getenv(\"RATE_LIM",
          "total_cost_usd": 0.01749135,
          "input_tokens": 4,
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          "cache_creation_input_tokens": 317,
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      ]
    },
    {
      "id": "p4-verify-password-bug",
      "prompt": "verify_password might return True on a malformed stored hash. Find the function, read it, and tell me if the bug is real.",
      "control": [
        {
          "wall_s": 13.19121527671814,
          "duration_ms": 12604,
          "duration_api_ms": 12385,
          "num_turns": 3,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "Bug is **not real** as described \u2014 a malformed hash (wrong number of `$` segments) hits the `ValueError` and returns `False`.\n\nHowever, there is a subtler issue: `_algo` is unpacked but never validated. A stored hash like `md5$salt$<sha256_of_salt+pass>` passes the split check and is verified as if it were sha256. If an attacker can control the stored hash format (e.g., database write), they can s",
          "total_cost_usd": 0.02307045,
          "input_tokens": 5,
          "output_tokens": 433,
          "cache_read_input_tokens": 49714,
          "cache_creation_input_tokens": 439,
          "total_tokens": 50591
        },
        {
          "wall_s": 29.05520486831665,
          "duration_ms": 28484,
          "duration_api_ms": 28269,
          "num_turns": 3,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Bug is real, but subtle \u2014 not a `True` false-positive.**\n\nThe actual risk: `_algo` is never validated. If `stored` is `\"md5$<salt>$<digest>\"` (wrong algo, attacker-controlled), the function still uses SHA-256 to hash the candidate and compares against a digest that was produced with MD5. That comparison will always fail \u2014 so no false `True` there.\n\nHowever, the real issue is **algorithm confusio",
          "total_cost_usd": 0.02483115,
          "input_tokens": 5,
          "output_tokens": 552,
          "cache_read_input_tokens": 49708,
          "cache_creation_input_tokens": 433,
          "total_tokens": 50698
        },
        {
          "wall_s": 10.044116973876953,
          "duration_ms": 9442,
          "duration_api_ms": 9218,
          "num_turns": 3,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "The bug report is **not real** as written, but there's a related issue worth noting.\n\n`verify_password` correctly returns `False` on a malformed hash (the `except ValueError` on line 15\u201316 handles split failures like missing `$` separators).\n\nHowever, there is a real security bug: line 18 uses `==` instead of `hmac.compare_digest`, making it vulnerable to timing attacks. That's distinct from the \"",
          "total_cost_usd": 0.02134065,
          "input_tokens": 5,
          "output_tokens": 291,
          "cache_read_input_tokens": 49548,
          "cache_creation_input_tokens": 559,
          "total_tokens": 50403
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      ],
      "treatment": [
        {
          "wall_s": 8.951804876327515,
          "duration_ms": 8356,
          "duration_api_ms": 8188,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "**Bug is real, but narrower than described.**\n\nThe function correctly returns `False` on malformed input (the `except ValueError` catches it). However, it **doesn't validate `_algo`** \u2014 so a hash stored as `md5$<salt>$<digest>` would pass the split, then compare a SHA-256 digest against an MD5 digest, always returning `False` (no false positive there).\n\nThe actual bug: **no constant-time compariso",
          "total_cost_usd": 0.0350961,
          "input_tokens": 4,
          "output_tokens": 308,
          "cache_read_input_tokens": 27672,
          "cache_creation_input_tokens": 5910,
          "total_tokens": 33894
        },
        {
          "wall_s": 9.39668893814087,
          "duration_ms": 8811,
          "duration_api_ms": 8646,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "Bug is **not real** as described, but there's a related issue:\n\n- Malformed hash (wrong `$` count) \u2192 `ValueError` \u2192 returns `False`. That part is fine.\n- The algorithm field (`_algo`) is silently ignored. If you store a `bcrypt$...` hash and call `verify_password`, it re-hashes with sha256 and compares \u2014 almost certainly returns `False`, not `True`.\n- The only way it returns `True` on a malformed ",
          "total_cost_usd": 0.01565745,
          "input_tokens": 4,
          "output_tokens": 298,
          "cache_read_input_tokens": 33264,
          "cache_creation_input_tokens": 319,
          "total_tokens": 33885
        },
        {
          "wall_s": 7.99442195892334,
          "duration_ms": 7409,
          "duration_api_ms": 7243,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "Bug is **not real** in the malformed-hash sense \u2014 `ValueError` on bad splits correctly returns `False`.\n\nHowever, there is a real bug: `_algo` is ignored, so a stored hash with the wrong algorithm (e.g. `bcrypt$salt$digest`) won't fail \u2014 but more critically, `test == digest` is a **timing-vulnerable plain string comparison** instead of `secrets.compare_digest`. That's the actual vulnerability here",
          "total_cost_usd": 0.0338436,
          "input_tokens": 4,
          "output_tokens": 223,
          "cache_read_input_tokens": 27672,
          "cache_creation_input_tokens": 5916,
          "total_tokens": 33815
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      ]
    },
    {
      "id": "p5-migrations-add-col",
      "prompt": "I need to add a created_at column to the users table. Where do I add a migration and update the model? List the files.",
      "control": [
        {
          "wall_s": 11.057678937911987,
          "duration_ms": 10475,
          "duration_api_ms": 10236,
          "num_turns": 5,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "Two files:\n\n1. **`src/db/migrations.py:6`** \u2014 add `created_at INTEGER` to the `users` table definition, and add an `ALTER TABLE` migration for existing DBs.\n2. **`src/db/models.py:4`** \u2014 add `created_at` attribute to the `User` class.",
          "total_cost_usd": 0.0428541,
          "input_tokens": 111,
          "output_tokens": 440,
          "cache_read_input_tokens": 44312,
          "cache_creation_input_tokens": 6034,
          "total_tokens": 50897
        },
        {
          "wall_s": 10.107445001602173,
          "duration_ms": 9523,
          "duration_api_ms": 9313,
          "num_turns": 4,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "Two files:\n\n- **`src/db/models.py`** \u2014 add `created_at` to the `User` class\n- **`src/db/migrations.py`** \u2014 add the `ALTER TABLE` migration",
          "total_cost_usd": 0.02133165,
          "input_tokens": 38,
          "output_tokens": 316,
          "cache_read_input_tokens": 49788,
          "cache_creation_input_tokens": 411,
          "total_tokens": 50553
        },
        {
          "wall_s": 10.212528228759766,
          "duration_ms": 9616,
          "duration_api_ms": 9399,
          "num_turns": 4,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "- **`src/db/models.py`** \u2014 add `created_at` field to the `User` class\n- **`src/db/migrations.py`** \u2014 add the `ALTER TABLE` migration",
          "total_cost_usd": 0.0198687,
          "input_tokens": 38,
          "output_tokens": 313,
          "cache_read_input_tokens": 50199,
          "cache_creation_input_tokens": 0,
          "total_tokens": 50550
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      ],
      "treatment": [
        {
          "wall_s": 5.387980937957764,
          "duration_ms": 4782,
          "duration_api_ms": 4660,
          "num_turns": 1,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "- `src/db/migrations.py` \u2014 add the migration\n- `src/db/models.py` \u2014 update the User model",
          "total_cost_usd": 0.0258435,
          "input_tokens": 3,
          "output_tokens": 93,
          "cache_read_input_tokens": 11040,
          "cache_creation_input_tokens": 5634,
          "total_tokens": 16770
        },
        {
          "wall_s": 4.626061916351318,
          "duration_ms": 4034,
          "duration_api_ms": 3904,
          "num_turns": 1,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "- `src/db/migrations.py` \u2014 add the migration\n- `src/db/models.py` \u2014 update the `User` model",
          "total_cost_usd": 0.0256935,
          "input_tokens": 3,
          "output_tokens": 83,
          "cache_read_input_tokens": 11040,
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        {
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          "duration_ms": 3558,
          "duration_api_ms": 3444,
          "num_turns": 1,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "- `src/db/migrations.py` \u2014 add the migration\n- `src/db/models.py` \u2014 add the `created_at` column to the users model",
          "total_cost_usd": 0.0265185,
          "input_tokens": 3,
          "output_tokens": 138,
          "cache_read_input_tokens": 11040,
          "cache_creation_input_tokens": 5634,
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      ]
    },
    {
      "id": "p6-middleware-logging",
      "prompt": "auth_middleware should log the user_id when denying a request. Which file, and what does the current code look like?",
      "control": [
        {
          "wall_s": 10.726532936096191,
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          "duration_api_ms": 9886,
          "num_turns": 3,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "`src/auth/middleware.py:13` \u2014 the denial log at line 13 doesn't include `user_id`. The session is `None` at that point (token not found), so there's no user to log, but you could log the raw token or the resolved user_id for valid-but-denied cases. What's your intent \u2014 log the token, or is there a separate denial path after session is resolved?",
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          "input_tokens": 5,
          "output_tokens": 273,
          "cache_read_input_tokens": 44197,
          "cache_creation_input_tokens": 5852,
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        {
          "wall_s": 8.309149265289307,
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          "duration_api_ms": 7530,
          "num_turns": 3,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "`src/auth/middleware.py:13` \u2014 logs `\"unauthenticated request\"` with no user info. The session lookup fails before a user_id is known, but if you want to log the token (or any user_id extracted from it), line 13 is where to add it.",
          "total_cost_usd": 0.02208885,
          "input_tokens": 5,
          "output_tokens": 317,
          "cache_read_input_tokens": 49542,
          "cache_creation_input_tokens": 655,
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        },
        {
          "wall_s": 9.81130599975586,
          "duration_ms": 9220,
          "duration_api_ms": 9004,
          "num_turns": 3,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "`src/auth/middleware.py:13` \u2014 current denial log has no user context. The `session` is `None` at that point, so we'd need to log the token or pull `user_id` from a failed lookup. What's available: only `token` from the request. Should it log the token, or do you want the `SessionManager` to return a partial record (e.g., expired session with `user_id`) on failure?",
          "total_cost_usd": 0.02215635,
          "input_tokens": 5,
          "output_tokens": 334,
          "cache_read_input_tokens": 49542,
          "cache_creation_input_tokens": 605,
          "total_tokens": 50486
        }
      ],
      "treatment": [
        {
          "wall_s": 7.434522867202759,
          "duration_ms": 6855,
          "duration_api_ms": 6692,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "`src/auth/middleware.py:13` \u2014 the warning logs a static string with no user context. `session` is `None` at that point, but the token is available, so it can log that instead (or after a failed lookup that returns partial data).",
          "total_cost_usd": 0.03380025,
          "input_tokens": 4,
          "output_tokens": 202,
          "cache_read_input_tokens": 27740,
          "cache_creation_input_tokens": 5983,
          "total_tokens": 33929
        },
        {
          "wall_s": 8.914802074432373,
          "duration_ms": 8329,
          "duration_api_ms": 8153,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "`src/auth/middleware.py:13` \u2014 denial logs `\"unauthenticated request\"` with no user context. Need to add `user_id` from `session` if available, or at minimum the token, when `session` is falsy \u2014 but since there's no session at that point, `user_id` isn't accessible. We'd need to check if the token decodes to a user_id before the session lookup, or log the token itself.\n\nDo you want to log the raw t",
          "total_cost_usd": 0.03488775,
          "input_tokens": 4,
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          "cache_read_input_tokens": 27740,
          "cache_creation_input_tokens": 5985,
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        },
        {
          "wall_s": 7.406916856765747,
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          "duration_api_ms": 6649,
          "num_turns": 2,
          "stop_reason": "end_turn",
          "is_error": false,
          "result": "`src/auth/middleware.py:13` \u2014 denial logs `\"unauthenticated request\"` with no user context. Since `session` is `None` at that point, the token itself is what's available; want to log the token (truncated) or do you have a user_id extracted earlier you'd prefer?",
          "total_cost_usd": 0.033875249999999996,
          "input_tokens": 4,
          "output_tokens": 209,
          "cache_read_input_tokens": 27740,
          "cache_creation_input_tokens": 5975,
          "total_tokens": 33928
        }
      ]
    }
  ],
  "cwd": "/tmp/cos-livebench",
  "model": "sonnet",
  "runs_per_mode": 3,
  "generated_at": "2026-04-19T14:52:58+00:00"
}