{
  "filename": "rollout-2026-01-31T08-17-13-019c1320-aa65-7333-9cf7-3600126c1761.jsonl",
  "date": "2026-01-31",
  "session_id": "019c1320-aa65-7333-9cf7-3600126c1761",
  "first_timestamp": "2026-01-31T08:17:13.830Z",
  "last_timestamp": "2026-01-31T08:37:41.408Z",
  "duration_seconds": 1227.6,
  "model": "gpt-5.2-codex",
  "cli_version": "0.92.0",
  "approval_policy": "on-request",
  "effort": "high",
  "raw_event_count": 248,
  "user_messages": [
    {
      "index": 0,
      "text": "<permissions instructions>Filesystem sandboxing defines which files can be read or written. `sandbox_mode` is `read-only`: The sandbox only permits reading files. Network access is restricted. Approvals are your mechanism to get user consent to run shell commands without the sandbox. `approval_policy` is `on-request`: Commands will be run in the sandbox by default, and you can specify in your tool call if you want to escalate a command to run without sandboxing. If the completing the task requires escalated permissions, Do not let these settings or the sandbox deter you from attempting to accomplish the user's task.\n\nHere are scenarios where you'll need to request approval:\n- You need to run a command that writes to a directory that requires it (e.g. running tests that write to /var)\n- You need to run a GUI app (e.g., open/xdg-open/osascript) to open browsers or files.\n- You are running sandboxed and need to run a command that requires network access (e.g. installing packages)\n- If you run a command that is important to solving the user's query, but it fails because of sandboxing, rerun the command with approval. ALWAYS proceed to use the `sandbox_permissions` and `justification` parameters - do not message the user before requesting approval for the command.\n- You are about to take a potentially destructive action such as an `rm` or `git reset` that the user did not explicitly ask for.\n\nWhen requesting approval to execute a command that will require escalated privileges:\n  - Provide the `sandbox_permissions` parameter with the value `\"require_escalated\"`\n  - Include a short, 1 sentence explanation for why you need escalated permissions in the justification parameter</permissions instructions>",
      "timestamp": "2026-01-31T08:17:13.830Z"
    },
    {
      "index": 1,
      "text": "# AGENTS.md instructions for /home/ubuntu/nikhil/cold-ranker\n\n<INSTRUCTIONS>\n## Skills\nA skill is a set of local instructions to follow that is stored in a `SKILL.md` file. Below is the list of skills that can be used. Each entry includes a name, description, and file path so you can open the source for full instructions when using a specific skill.\n### Available skills\n- skill-creator: Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations. (file: /home/ubuntu/.codex/skills/.system/skill-creator/SKILL.md)\n- skill-installer: Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos). (file: /home/ubuntu/.codex/skills/.system/skill-installer/SKILL.md)\n### How to use skills\n- Discovery: The list above is the skills available in this session (name + description + file path). Skill bodies live on disk at the listed paths.\n- Trigger rules: If the user names a skill (with `$SkillName` or plain text) OR the task clearly matches a skill's description shown above, you must use that skill for that turn. Multiple mentions mean use them all. Do not carry skills across turns unless re-mentioned.\n- Missing/blocked: If a named skill isn't in the list or the path can't be read, say so briefly and continue with the best fallback.\n- How to use a skill (progressive disclosure):\n  1) After deciding to use a skill, open its `SKILL.md`. Read only enough to follow the workflow.\n  2) If `SKILL.md` points to extra folders such as `references/`, load only the specific files needed for the request; don't bulk-load everything.\n  3) If `scripts/` exist, prefer running or patching them instead of retyping large code blocks.\n  4) If `assets/` or templates exist, reuse them instead of recreating from scratch.\n- Coordination and sequencing:\n  - If multiple skills apply, choose the minimal set that covers the request and state the order you'll use them.\n  - Announce which skill(s) you're using and why (one short line). If you skip an obvious skill, say why.\n- Context hygiene:\n  - Keep context small: summarize long sections instead of pasting them; only load extra files when needed.\n  - Avoid deep reference-chasing: prefer opening only files directly linked from `SKILL.md` unless you're blocked.\n  - When variants exist (frameworks, providers, domains), pick only the relevant reference file(s) and note that choice.\n- Safety and fallback: If a skill can't be applied cleanly (missing files, unclear instructions), state the issue, pick the next-best approach, and continue.\n</INSTRUCTIONS>",
      "timestamp": "2026-01-31T08:17:13.830Z"
    },
    {
      "index": 2,
      "text": "<environment_context>\n  <cwd>/home/ubuntu/nikhil/cold-ranker</cwd>\n  <shell>bash</shell>\n</environment_context>",
      "timestamp": "2026-01-31T08:17:13.830Z"
    },
    {
      "index": 3,
      "text": "# Context from my IDE setup:\n\n## Active file: col/src/model/recommend.py\n\n## Open tabs:\n- recommend.py: col/src/model/recommend.py\n- data_prep.py: col/src/data_prep/data_prep.py\n- en: data/en\n- dataset.py: col/src/model/dataset.py\n- mapping.py: col/src/data_prep/mapping.py\n\n## My request for Codex:\ncan you break recommend.py into proper functions?\nalso the code assumes backup values if something is not avaialable, remove them and actually throw error if the value is not present. Also all the config values that is required can you keep them at top of the file. \n",
      "timestamp": "2026-01-31T08:17:13.979Z"
    }
  ],
  "assistant_messages": [
    {
      "index": 0,
      "text": "Refactored `col/src/model/recommend.py` into smaller, single‑purpose helpers and tightened config validation so missing values now raise errors instead of silently falling back.\n\n- Split driver logic into helpers for validation, path resolution, batch prep, mapping, and output writing (`col/src/model/recommend.py`).\n- Centralized required config names at the top and added a `_MISSING` sentinel to force explicit config (`col/src/model/recommend.py`).\n- Removed fallback defaults for widget names, algo name, avro schema path, series part path, read series path, and series id fallback in scoring; all now error if missing (`col/src/model/recommend.py`).\n- Removed mapping fallbacks (`.get(..., default)`) so missing user/series ids or first‑pratilipi mapping now raise (`col/src/model/recommend.py`).\n- Enforced existence checks for required paths like model file and floats shards (`col/src/model/recommend.py`).\n\nImportant behavior change: `driver()` now requires explicit values for `data_dir`, `interaction_dirs`, `series_meta_dir`, `output_path`, `model_path`, `device`, `top_k`, `series_batch_size`, `user_batch_size`, `output_format`, `output_top_n`, and `read_series_path`. For AVRO output, `widget_names`, `algo_name`, `avro_schema_path`, and `series_part_path` must be provided (or set in the corresponding env vars). Calling `recommend.driver()` with no args will now raise.\n\nNo tests run.\n\nIf you want, I can:\n1) Update `col/src/driver.py` to pass the required args explicitly.\n2) Add a small config object at the top of `recommend.py` to make setting those values easier.",
      "timestamp": "2026-01-31T08:37:41.398Z"
    }
  ],
  "tool_calls": [
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"ls\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\"}",
      "output_summary": "Exit code: 101\nWall time: 0 seconds\nOutput:\n\nthread 'main' (10011) panicked at linux-sandbox/src/linux_run_main.rs:30:9:\nerror running landlock: Sandbox(LandlockRestrict)\nnote: run with `RUST_BACKTRAC..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"ls\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Need to list repo files to locate and edit recommend.py.\"}",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\ncol\ndata\n/home/ubuntu/.profile: line 28: /home/ubuntu/miniconda3/etc/profile.d/conda.sh: No such file or directory\n/home/ubuntu/.profile: line 29: /home/ubunt..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"sed -n '1,220p' col/src/model/recommend.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Need to read recommend.py to refactor it ...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\nimport json\nimport os\nimport gzip\nimport shutil\nfrom ast import literal_eval\nimport numpy as np\nimport torch\nfrom tqdm import tqdm\nfrom model.model import CTR..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"sed -n '220,520p' col/src/model/recommend.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Need to read the remainder of recommend...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\n\n\ndef _gzip_file(path):\n    with open(path, \"rb\") as f_in:\n        with gzip.open(path + \".gz\", \"wb\") as f_out:\n            shutil.copyfileobj(f_in, f_out)\n\n\n..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"sed -n '520,920p' col/src/model/recommend.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Need to read rest of recommend.py to re...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\n        for start in range(0, n_series, series_batch_size):\n            end = min(start + series_batch_size, n_series)\n            n = end - start\n\n          ..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"rg -n \\\"recommend\\\\.|driver\\\\(|recommendations\\\" -S col/src\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Need to find references ...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\ncol/src/driver.py:26:    # data_prep.driver()\ncol/src/driver.py:28:    # training.driver()\ncol/src/driver.py:30:    recommend.driver()\ncol/src/model/training...."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"sed -n '1,120p' col/src/driver.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Check how recommend.driver is called to ensure ref...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\nimport os\nfrom datetime import datetime\nos.environ[\"AWS_DEFAULT_REGION\"] = \"ap-south-1\"\nos.environ[\"OPENAI_API_KEY\"] = \"sk-proj-qRoswT4wSHS3R4i7ZcIbP3FW5XT0xI..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"sed -n '1,200p' col/src/config/config.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Need to see config values to understand wha...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\nimport os\nfrom openai import OpenAI\n\nLANGUAGE=\"hindi\"\nLANGUAGE_KEY=\"hi\"\n\nMODE='prod'\n\ndef _env_flag(name: str, default: bool = False) -> bool:\n    value = os...."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"rg -n \\\"_DEFAULT_|default_avro\\\" col/src/model/recommend.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Verify old default const...",
      "output_summary": "Exit code: 1\nWall time: 0 seconds\nOutput:\n/home/ubuntu/.profile: line 28: /home/ubuntu/miniconda3/etc/profile.d/conda.sh: No such file or directory\n/home/ubuntu/.profile: line 29: /home/ubuntu/minicon..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"rg -n \\\"LANGUAGE\\\\b\\\" col/src/model/recommend.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Check for unused config imports aft...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\n14:    LANGUAGE,\n/home/ubuntu/.profile: line 28: /home/ubuntu/miniconda3/etc/profile.d/conda.sh: No such file or directory\n/home/ubuntu/.profile: line 29: /ho..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"rg -n \\\"MODEL_OUT|REC_TOP_K|REC_SERIES_BATCH_SIZE\\\" col/src/model/recommend.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Check...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\n19:    MODEL_OUT,\n20:    REC_TOP_K,\n21:    REC_SERIES_BATCH_SIZE\n/home/ubuntu/.profile: line 28: /home/ubuntu/miniconda3/etc/profile.d/conda.sh: No such file ..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"sed -n '1,200p' col/src/model/recommend.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Review updated recommend.py for correctne...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\nimport json\nimport os\nimport gzip\nimport shutil\nfrom ast import literal_eval\nimport numpy as np\nimport torch\nfrom tqdm import tqdm\nfrom model.model import CTR..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"sed -n '200,520p' col/src/model/recommend.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Review mid-section of recommend.py afte...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\n        return [row[:output_top_n] for row in top_ids], [row[:output_top_n] for row in top_scores]\n\n    user_ids, offsets, series_ids = read_series_data\n    f..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"sed -n '520,920p' col/src/model/recommend.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Review updated driver and scoring funct...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\n            users = user_ids[last_idx]\n            genders = ints[last_idx, int_idx[\"gender\"]]\n            if_pref = ints[last_idx, int_idx[\"if_user_genre_pre..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"sed -n '920,1240p' col/src/model/recommend.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Review end of driver for correctness a...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\n        series_to_first_pratilipi = _load_series_to_first_pratilipi_map(\n            language_key=LANGUAGE_KEY, series_part_path=series_part_path\n        )\n\n ..."
    },
    {
      "name": "shell_command",
      "input_summary": "{\"command\":\"rg -n \\\"_MISSING\\\" col/src/model/recommend.py\",\"workdir\":\"/home/ubuntu/nikhil/cold-ranker\",\"sandbox_permissions\":\"require_escalated\",\"justification\":\"Check where _MISSING sentinel is used ...",
      "output_summary": "Exit code: 0\nWall time: 0 seconds\nOutput:\n50:_MISSING = object()\n54:    if value is _MISSING or value is None:\n841:    data_dir=_MISSING,\n842:    model_path=_MISSING,\n843:    output_path=_MISSING,\n844..."
    }
  ],
  "turn_count": 4,
  "files_touched": [],
  "summary_from_context": "auto",
  "metrics": {
    "outcome": "resolved",
    "session_type": "bug-fix",
    "iteration_count": 4,
    "struggle_score": 2,
    "prompt_specificity": 4,
    "time_of_day": "morning"
  }
}