- timestamp: 2025-09-24T22:33:49.077Z
- cwd: /private/tmp
- originator: codex_cli_rs
- cli_version: 0.39.0
- instructions: null
- id: 01997ddc-88f4-7e40-8dac-d558f31dd3ca
- timestamp: 2025-09-24T22:33:49.044Z
- cwd: /private/tmp
- originator: codex_cli_rs
- cli_version: 0.39.0
- instructions: null
- type: message
- role: user
- content:
- item 1:
- type: input_text
- text:
<environment_context> <cwd>/private/tmp</cwd> <approval_policy>never</approval_policy> <sandbox_mode>danger-full-access</sandbox_mode> <network_access>enabled</network_access> <shell>zsh</shell> </environment_context>
- item 1:
- type: message
- role: user
- content:
- item 1:
- type: input_text
- text: Take a look at the file in here, just the first few lines
- item 1:
- type: user_message
- message: Take a look at the file in here, just the first few lines
- kind: plain
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Checking files in /private/tmp
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Checking files in /private/tmp
- item 1:
- content: null
- encrypted_content: encrypted_content: 1764 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- ls
- workdir: /private/tmp
- command:
- call_id: call_O9mYFuKEkAbZOl2sybu2mSbs
- type: function_call_output
- call_id: call_O9mYFuKEkAbZOl2sybu2mSbs
- output:
- output:
2f093fe9-a235-5d1c-9a62-3fae2cdf7eb1 7c3338c5-8eec-50ae-bc4a-1f6969419936 build com.apple.launchd.0znMDn7n47 devio_semaphore_logi_hpp_OptionsPlus_A7D4B139-F9F9-44A6-9F5D-7BC0A9B8B80F drivefs_ipc.501 drivefs_ipc.501_shell gecko-crash-helper-pipe.671 Greeting.caf logi.optionsplus.updater.log LogiPluginService logitech_kiros_agent-b30bd351371c686298d32281b337e8e9 logitech_kiros_updater MozillaUpdateLock-2656FF1E876E9973 powerlog - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Evaluating files to inspect
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Evaluating files to inspect
- item 1:
- content: null
- encrypted_content: encrypted_content: 2532 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- file *
- workdir: /private/tmp
- command:
- call_id: call_e9NecuxfU1FgQGKvRyulSgwu
- type: function_call_output
- call_id: call_e9NecuxfU1FgQGKvRyulSgwu
- output:
- output:
2f093fe9-a235-5d1c-9a62-3fae2cdf7eb1: socket 7c3338c5-8eec-50ae-bc4a-1f6969419936: socket build: directory com.apple.launchd.0znMDn7n47: directory devio_semaphore_logi_hpp_OptionsPlus_A7D4B139-F9F9-44A6-9F5D-7BC0A9B8B80F: directory drivefs_ipc.501: socket drivefs_ipc.501_shell: socket gecko-crash-helper-pipe.671: socket Greeting.caf: CoreAudio Format audio file version 1 logi.optionsplus.updater.log: empty LogiPluginService: socket logitech_kiros_agent-b30bd351371c686298d32281b337e8e9: socket logitech_kiros_updater: socket MozillaUpdateLock-2656FF1E876E9973: empty powerlog: directory - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Inspecting build directory for target file
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Inspecting build directory for target file
- item 1:
- content: null
- encrypted_content: encrypted_content: 1228 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- ls build
- workdir: /private/tmp
- command:
- call_id: call_IrU388j1E1hQYHARNZKxi1KC
- type: function_call_output
- call_id: call_IrU388j1E1hQYHARNZKxi1KC
- output:
- output:
rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Preparing to display file start
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Preparing to display file start
- item 1:
- content: null
- encrypted_content: encrypted_content: 1336 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- head -n 5 rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl
- workdir: /private/tmp/build
- command:
- call_id: call_UqyNRrfTOJapJh3uKOBv9VdX
- type: function_call_output
- call_id: call_UqyNRrfTOJapJh3uKOBv9VdX
- output:
- output:
{"timestamp":"2025-09-24T17:58:50.523Z","type":"session_meta","payload":{"id":"01997ce0-c98e-70b0-9302-eca29f1c454f","timestamp":"2025-09-24T17:58:50.510Z","cwd":"/Users/simon/.wasmer/cache/compiled","originator":"codex_cli_rs","cli_version":"0.39.0","instructions":null}} {"timestamp":"2025-09-24T17:58:50.523Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"<environment_context>\n <cwd>/Users/simon/.wasmer/cache/compiled</cwd>\n <approval_policy>never</approval_policy>\n <sandbox_mode>danger-full-access</sandbox_mode>\n <network_access>enabled</network_access>\n <shell>zsh</shell>\n</environment_context>"}]}} {"timestamp":"2025-09-24T17:58:59.119Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"Find all the .bin files in here and tell me about them"}]}} {"timestamp":"2025-09-24T17:58:59.119Z","type":"event_msg","payload":{"type":"user_message","message":"Find all the .bin files in here and tell me about them","kind":"plain"}} {"timestamp":"2025-09-24T17:58:59.120Z","type":"turn_context","payload":{"cwd":"/Users/simon/.wasmer/cache/compiled","approval_policy":"never","sandbox_policy":{"mode":"danger-full-access"},"model":"gpt-5-codex","summary":"auto"}} - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Preparing summary of initial lines
- type: agent_message
- message:
build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl:1 `{"timestamp":"2025-09-24T17:58:50.523Z","type":"session_meta","payload":{"id":"01997ce0-c98e-70b0-9302-eca29f1c454f","timestamp":"2025-09-24T17:58:50.510Z","cwd":"/Users/simon/.wasmer/cache/compiled","originator":"codex_cli_rs","cli_version":"0.39.0","instructions":null}}` build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl:2 `{"timestamp":"2025-09-24T17:58:50.523Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"<environment_context>\n <cwd>/Users/simon/.wasmer/cache/compiled</cwd>\n <approval_policy>never</approval_policy>\n <sandbox_mode>danger-full-access</sandbox_mode>\n <network_access>enabled</network_access>\n <shell>zsh</shell>\n</environment_context>"}]}}` build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl:3 `{"timestamp":"2025-09-24T17:58:59.119Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"Find all the .bin files in here and tell me about them"}]}}` build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl:4 `{"timestamp":"2025-09-24T17:58:59.119Z","type":"event_msg","payload":{"type":"user_message","message":"Find all the .bin files in here and tell me about them","kind":"plain"}}` build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl:5 `{"timestamp":"2025-09-24T17:58:59.120Z","type":"turn_context","payload":{"cwd":"/Users/simon/.wasmer/cache/compiled","approval_policy":"never","sandbox_policy":{"mode":"danger-full-access"},"model":"gpt-5-codex","summary":"auto"}}`
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Preparing summary of initial lines
- item 1:
- content: null
- encrypted_content: encrypted_content: 2360 bytes
- type: message
- role: assistant
- content:
- item 1:
- type: output_text
- text:
build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl:1 `{"timestamp":"2025-09-24T17:58:50.523Z","type":"session_meta","payload":{"id":"01997ce0-c98e-70b0-9302-eca29f1c454f","timestamp":"2025-09-24T17:58:50.510Z","cwd":"/Users/simon/.wasmer/cache/compiled","originator":"codex_cli_rs","cli_version":"0.39.0","instructions":null}}` build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl:2 `{"timestamp":"2025-09-24T17:58:50.523Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"<environment_context>\n <cwd>/Users/simon/.wasmer/cache/compiled</cwd>\n <approval_policy>never</approval_policy>\n <sandbox_mode>danger-full-access</sandbox_mode>\n <network_access>enabled</network_access>\n <shell>zsh</shell>\n</environment_context>"}]}}` build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl:3 `{"timestamp":"2025-09-24T17:58:59.119Z","type":"response_item","payload":{"type":"message","role":"user","content":[{"type":"input_text","text":"Find all the .bin files in here and tell me about them"}]}}` build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl:4 `{"timestamp":"2025-09-24T17:58:59.119Z","type":"event_msg","payload":{"type":"user_message","message":"Find all the .bin files in here and tell me about them","kind":"plain"}}` build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl:5 `{"timestamp":"2025-09-24T17:58:59.120Z","type":"turn_context","payload":{"cwd":"/Users/simon/.wasmer/cache/compiled","approval_policy":"never","sandbox_policy":{"mode":"danger-full-access"},"model":"gpt-5-codex","summary":"auto"}}`
- item 1:
- type: message
- role: user
- content:
- item 1:
- type: input_text
- text:
Write me a Python CLI tool - no dependencies - which can read that file in full and output a neat Markdown converted version of it, with timestamps and a good heading at the top and all of the interesting details. Then try it out.
- item 1:
- type: user_message
- message:
Write me a Python CLI tool - no dependencies - which can read that file in full and output a neat Markdown converted version of it, with timestamps and a good heading at the top and all of the interesting details. Then try it out. - kind: plain
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Planning CLI tool development
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Planning CLI tool development
- item 1:
- content: null
- encrypted_content: encrypted_content: 1892 bytes
- type: function_call
- name: update_plan
- arguments:
- explanation:
Will design and implement CLI script that converts the JSONL session log into Markdown, then run it for validation. - plan:
- item 1:
- status: in_progress
- step: Design the Markdown structure and outline script behavior
- item 2:
- status: pending
- step: Implement Python CLI tool without external dependencies
- item 3:
- status: pending
- step: Run the tool against the JSONL file to verify output
- item 1:
- explanation:
- call_id: call_yEEv46yHW2OF2pzMCobeqgWy
- type: function_call_output
- call_id: call_yEEv46yHW2OF2pzMCobeqgWy
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Planning session log report format
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Planning session log report format
- item 1:
- content: null
- encrypted_content: encrypted_content: 3064 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step: Design the Markdown structure and outline script behavior
- item 2:
- status: in_progress
- step: Implement Python CLI tool without external dependencies
- item 3:
- status: pending
- step: Run the tool against the JSONL file to verify output
- item 1:
- plan:
- call_id: call_AqNvFV30jx9sYhyYwTaxF8uQ
- type: function_call_output
- call_id: call_AqNvFV30jx9sYhyYwTaxF8uQ
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text:
**Designing Markdown log script** I'm laying out the plan for a script to convert session log entries into a neat Markdown format with organized headings and timestamped sections. I'll focus on parsing input, formatting nested dictionaries and lists into bullet points, and handling multi-line content with code blocks, all while sticking to standard Python libraries for simplicity.
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text:
**Designing Markdown log script** I'm laying out the plan for a script to convert session log entries into a neat Markdown format with organized headings and timestamped sections. I'll focus on parsing input, formatting nested dictionaries and lists into bullet points, and handling multi-line content with code blocks, all while sticking to standard Python libraries for simplicity.
- item 1:
- content: null
- encrypted_content: encrypted_content: 5580 bytes
- type: function_call
- name: shell
- arguments:
- command:
bash-lc- arg 3 (script):
cat <<'PY' > /private/tmp/log_to_markdown.py #!/usr/bin/env python3 import argparse import json from pathlib import Path def format_scalar(value: object) -> str: if value is None: return "null" if isinstance(value, bool): return "true" if value else "false" if isinstance(value, (int, float)): return str(value) return str(value) def format_block(text: str, indent: int) -> list[str]: spaces = " " * indent inner = text.splitlines() or [""] lines = [f"{spaces}```"] lines.extend(f"{spaces}{line}" for line in inner) lines.append(f"{spaces}```") return lines def format_value(value: object, indent: int = 0) -> list[str]: spaces = " " * indent if isinstance(value, dict): lines: list[str] = [] for key, val in value.items(): if isinstance(val, (dict, list)): lines.append(f"{spaces}- **{key}**:") lines.extend(format_value(val, indent + 1)) elif isinstance(val, str) and ("\n" in val or len(val) > 80): lines.append(f"{spaces}- **{key}**:") lines.extend(format_block(val, indent + 1)) else: lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") return lines if isinstance(value, list): lines: list[str] = [] for idx, item in enumerate(value, 1): label = f"item {idx}" if isinstance(item, (dict, list)) else None if isinstance(item, (dict, list)): lines.append(f"{spaces}- {label}:") lines.extend(format_value(item, indent + 1)) elif isinstance(item, str) and ("\n" in item or len(item) > 80): lines.append(f"{spaces}- entry {idx}:") lines.extend(format_block(item, indent + 1)) else: lines.append(f"{spaces}- {format_scalar(item)}") return lines if isinstance(value, str) and ("\n" in value or len(value) > 80): return format_block(value, indent) return [f"{spaces}- {format_scalar(value)}"] def render_markdown(entries: list[dict], source: Path) -> str: if not entries: return f"# Session Log\n\n_No entries found in {source.name}_." session_meta = next((e for e in entries if e.get("type") == "session_meta"), None) title = "Session Log" if session_meta: payload = session_meta.get("payload", {}) identifier = payload.get("id") if identifier: title = f"Session Log `{identifier}`" lines = [f"# {title}"] if session_meta: lines.append("\n## Session Metadata") meta_payload = session_meta.get("payload", {}) meta_lines = format_value({ "timestamp": session_meta.get("timestamp"), "cwd": meta_payload.get("cwd"), "originator": meta_payload.get("originator"), "cli_version": meta_payload.get("cli_version"), "instructions": meta_payload.get("instructions"), }) lines.extend(meta_lines) lines.append("\n## Events") for entry in entries: timestamp = entry.get("timestamp", "unknown time") entry_type = entry.get("type", "unknown type") lines.append(f"\n### {timestamp} · {entry_type}") payload = entry.get("payload") if payload is None: lines.append("- _No payload_") continue lines.extend(format_value(payload)) return "\n".join(lines) + "\n" def read_entries(path: Path) -> list[dict]: entries: list[dict] = [] with path.open("r", encoding="utf-8") as handle: for number, line in enumerate(handle, 1): text = line.strip() if not text: continue try: entries.append(json.loads(text)) except json.JSONDecodeError as exc: raise SystemExit(f"Failed to parse JSON on line {number}: {exc}") from exc return entries def main() -> None: parser = argparse.ArgumentParser(description="Convert Codex JSONL session logs to Markdown") parser.add_argument("path", type=Path, help="Path to the .jsonl file") args = parser.parse_args() if not args.path.exists(): raise SystemExit(f"File not found: {args.path}") entries = read_entries(args.path) markdown = render_markdown(entries, args.path) print(markdown) if __name__ == "__main__": main() PY
- workdir: /private/tmp
- command:
- call_id: call_VNHk7quqZBx61t1nEyl6vAiF
- type: function_call_output
- call_id: call_VNHk7quqZBx61t1nEyl6vAiF
- output:
- output:
- metadata:
- exit_code: 0
- duration_seconds: 0.0
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Marking plan step completion
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Marking plan step completion
- item 1:
- content: null
- encrypted_content: encrypted_content: 908 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step: Design the Markdown structure and outline script behavior
- item 2:
- status: completed
- step: Implement Python CLI tool without external dependencies
- item 3:
- status: in_progress
- step: Run the tool against the JSONL file to verify output
- item 1:
- plan:
- call_id: call_MV5uPh6WPSrjDyLqF34ZIfZt
- type: function_call_output
- call_id: call_MV5uPh6WPSrjDyLqF34ZIfZt
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Running script on file
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Running script on file
- item 1:
- content: null
- encrypted_content: encrypted_content: 932 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- entry 3:
python3 /private/tmp/log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl
- workdir: /private/tmp
- command:
- call_id: call_02cb0e3m5PzR6Tk9vJxYYyGg
- type: function_call_output
- call_id: call_02cb0e3m5PzR6Tk9vJxYYyGg
- output:
-
output:
# Session Log `01997ce0-c98e-70b0-9302-eca29f1c454f` ## Session Metadata - **timestamp**: 2025-09-24T17:58:50.523Z - **cwd**: /Users/simon/.wasmer/cache/compiled - **originator**: codex_cli_rs - **cli_version**: 0.39.0 - **instructions**: null ## Events ### 2025-09-24T17:58:50.523Z · session_meta - **id**: 01997ce0-c98e-70b0-9302-eca29f1c454f - **timestamp**: 2025-09-24T17:58:50.510Z - **cwd**: /Users/simon/.wasmer/cache/compiled - **originator**: codex_cli_rs - **cli_version**: 0.39.0 - **instructions**: null ### 2025-09-24T17:58:50.523Z · response_item - **type**: message - **role**: user - **content**: - item 1: - **type**: input_text - **text**: ``` <environment_context> <cwd>/Users/simon/.wasmer/cache/compiled</cwd> <approval_policy>never</approval_policy> <sandbox_mode>danger-full-access</sandbox_mode> <network_access>enabled</network_access> <shell>zsh</shell> </environment_context> ``` ### 2025-09-24T17:58:59.119Z · response_item - **type**: message - **role**: user - **content**: - item 1: - **type**: input_text - **text**: Find all the .bin files in here and tell me about them ### 2025-09-24T17:58:59.119Z · event_msg - **type**: user_message - **message**: Find all the .bin files in here and tell me about them - **kind**: plain ### 2025-09-24T17:58:59.120Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T17:59:04.021Z · event_msg - **type**: agent_reasoning - **text**: **Choosing method to find .bin files** ### 2025-09-24T17:59:04.644Z · event_msg - **type**: token_count - **info**: - **total_token_usage**: - **input_tokens**: 2594 - **cached_input_tokens**: 2432 - **output_tokens**: 235 - **reasoning_output_tokens**: 192 - **total_tokens**: 2829 - **last_token_usage**: - **input_tokens**: 2594 - **cached_input_tokens**: 2432 - **output_tokens**: 235 - **reasoning_output_tokens**: 192 - **total_tokens**: 2829 - **model_context_window**: 272000 ### 2025-09-24T17:59:04.644Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Choosing method to find .bin files** - **content**: null - **encrypted_content**:gAAAAABo1DFnR0_cx2WzGczqZWJAnj_WxyLSbFRsMKiXHGTNhdrT_RTSalHvqSxkK9SMTL5MnKkMHQ-ydN4YuRzT53d5zKaL70j_GpYMjNHb7zrw7YjWLTSw1pLccuWgoIOXJF0VSUX6goDIJDITkmHKGVepBREEnDaGTLkufxY8SoBwpD8QnFjpH1utxtc95pQNyrLn4ANhJ28FZ6ChQzpjVTCiGRRU83knj6JmYTiU_77gAoEmi8vH8P-uMhO_i7suk8xe61VXro2ljQegAJzKV3sfchFXP04JOdS5Vw8_wPl9EYa3tXNXC1rsOdjSj8xFutevYLCveMsoVUKqt85F0J1iRH8lo3kDOblS3t05KcGK639lsClaM4f9Ye77WQmARH2cVvIGoJ0a2SW_blNpjJXQfXqgQ6HXeZGkcyy7TKoe8TCwmHXTxWsJYnXNml50M1ZM_NoWYB0YtPzezJrV_Y9YZMse_eWQBqRa5UZfQE4hI30B8CmmiGers1AGvWONCOHXu1Mte3iUU9ofKQRAVHOnT1mJ2_gkNPLet3ravUGa2Yx2cvT7y3vGJlMfyEYPHkLgBgUhR-3ICpjSCtCNvHfg5Zgl7AG2_0FK3sfIANEc7Sao25K1SSd5qOOe1OIxGCsr1u3VOc3Iys8ChkstOgB08hgvkI6l8p0937GjdJjMNsT0jtJl_84F0Q41nNTFBkKxwzqBSQEqat-y5lPFcNg2Gp8EpNZbaFzVsFBvLVhGC27MViJDlAVVjatkb280_VlWrjBzyN1NERyb_fV-xAkn3dvVjC6aa_VjNd5BYN1v2ob963n9P4KnPjFax59tEeXNm5Waice8mi40TOX4rwXrPTH71i_Ij50AfYZTvFXXNs7Q1BKr-mLEDv-Io1eQ8PCbNWQNeWFyi5omyim0dutvvsUt9AJQnZ178wrkuG_dsfDNoDTMdN7s50lZZdnpf7IWBmykr4rp3Sm0-IageyGB3C_vAJ8p15mDUcRU4e1f-J1NfBkx5H81akc9693Cy8kDPTvMRA501Fz35cSkcJ8OYBUjoZ6LiwCIz5rTdxnSBiK93Lw8YXMkXMeF_FShMR4pxqCNSKxsnNgA3EvKMyNZcoRC423BLsm4YEptlV6Xk60oDYeWLIfbZY4YVwCyMV7T6lWLuKXzDGDFTrNIMVO6RQDbDjNmAtjiD1hLoQ4xPMPUTllAkm_EOvID6K9su5vU9MTPoEQOc5LIooG9tPeRLDbq-POCcV4guIIUtBoFNsgLhFim56W_iP8_-gHH9SMiEOeoUE79B2xoymcRroG7XkSm2koJiYOGVz7GY_tCZUhRtYqFLuzVnaJxII1212dP9ZjXTeSTPx2F_wy3ouBP9jgrBL6QBFGU4HQUVs9B0WXB_yDnMvCfDP9_jhg12a1h1uP_VMXRaYATrJJnwsdOPLvbbAtIjvBu_h7wn7Sbl9k0AeGPcBjo-a6N_gyXGJwY4QCZoYGZXSBktMFGHt4rq4oUPUzV1Xmag3-Z4L5socMZcDpRZ_u40tRQMz7iV1UaJITkZedgVno49pYq3mwfks_NR8YOl7o0daa73ukGjdQodMdjx7Ug790PHw19JPE3T2nmjCLdBiGPL3yBARmSDUcUlOv4iLwSOVhadBqSGfycU2-2vKYnJo3lR2TDuFRN_2GF_nUXRGYP3nPFyP0VsF4lojpw87c6fZONeSKr9Megme5uHIISDIQERmo7ioPPQqazNK8DvQdkX12uwn8AWrG7qBAPEjbhj3bUdtG6wUJ_5RBZK1rCgMm8WRLv2uZEjlzbJeALsc46-hZw017UY5MwM-ZUuvav9wR3L0JymbVjSJqfsGQCrGJ5iCR-bVRtFcNUsOZMYP386408bOlXbqTC44MscGMZuZxY6Eif_9CBKMm5-ibaasyt20wwDl-D2MfFvT5c4GWAc8t1_nkmCQfmA6OfPNcvFzZeQ1m20XhEwQMaNFT88AerdHnuUSdp8O0l7SxKJO4ygjMEp5ZDE67ck6dgCvFSZ0J_ITluWJ4RmqQFzG9r_GaxTjn456l7MRK93oRn8FqWfbTp6aZMHevxRXrVc8yPgESbdR1VGJemvT0=
### 2025-09-24T17:59:04.644Z · response_item - **type**: function_call - **name**: shell - **arguments**:{"command":["bash","-lc","rg --files -g '*.bin'"],"workdir":".","timeout_ms":120000}
- **call_id**: call_UlQ2PjQyrdV6T3gaGTUaE6gh ### 2025-09-24T17:59:04.644Z · response_item - **type**: function_call_output - **call_id**: call_UlQ2PjQyrdV6T3gaGTUaE6gh - **output**:{"output":"engine-cranelift-v8/5425DA1C916E6418.bin\nllvm-opta-v11/6FF585E693146EFFF128C022CED66D64BFA81DF6763F79DD4AF8600608BA4D34.bin\ncranelift-v11/F86F3D200655529C09022751385000585777B [... omitted 352 of 608 lines ...]
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### 2025-09-24T18:00:54.017Z · response_item - **type**: message - **role**: assistant - **content**: - item 1: - **type**: output_text - **text**: ``` - `*.bin` share the same header: the first 16 bytes read `wasmer-universal`, followed by the marker `WASMER` and some little-endian integers (e.g. `0x00000800` on the v8 artifact, `0x00000b00` on the v11 artifacts) that match Wasmer’s “universal” cache format versioning. So these aren’t ELF/Mach-O/etc.; they’re Wasmer’s proprietary cache blobs. - The payload past the header is architecture-specific machine code plus serialized metadata that Wasmer uses to skip recompiling a WebAssembly module. A quick string scan (`strings -n 8 … | head`) only turns up short alignment filler like `KjKj8kKk8_`, which is typical of raw code sections—no embedded symbols or human-readable data appear. - You’d need Wasmer’s internals (or the original `.wasm`) to interpret anything more meaningful; to the naked eye they’re opaque machine code caches tied to the engine that generated them. Deleting them just forces a recompilation when that module runs again. ``` -
metadata:
- exit_code: 0
- duration_seconds: 0.7
-
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Completing step 3 with large output
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Completing step 3 with large output
- item 1:
- content: null
- encrypted_content: encrypted_content: 1016 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step: Design the Markdown structure and outline script behavior
- item 2:
- status: completed
- step: Implement Python CLI tool without external dependencies
- item 3:
- status: completed
- step: Run the tool against the JSONL file to verify output
- item 1:
- plan:
- call_id: call_Sn2GOVA40b1JNUEHRxzJXYqt
- type: function_call_output
- call_id: call_Sn2GOVA40b1JNUEHRxzJXYqt
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Preparing final message details
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Preparing final message details
- item 1:
- content: null
- encrypted_content: encrypted_content: 1400 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- nl -ba log_to_markdown.py
- workdir: /private/tmp
- command:
- call_id: call_uCkuotqkSFJHXXaZCLwifUDa
- type: function_call_output
- call_id: call_uCkuotqkSFJHXXaZCLwifUDa
- output:
- output:
1 #!/usr/bin/env python3 2 import argparse 3 import json 4 from pathlib import Path 5 6 7 def format_scalar(value: object) -> str: 8 if value is None: 9 return "null" 10 if isinstance(value, bool): 11 return "true" if value else "false" 12 if isinstance(value, (int, float)): 13 return str(value) 14 return str(value) 15 16 17 def format_block(text: str, indent: int) -> list[str]: 18 spaces = " " * indent 19 inner = text.splitlines() or [""] 20 lines = [f"{spaces}```"] 21 lines.extend(f"{spaces}{line}" for line in inner) 22 lines.append(f"{spaces}```") 23 return lines 24 25 26 def format_value(value: object, indent: int = 0) -> list[str]: 27 spaces = " " * indent 28 if isinstance(value, dict): 29 lines: list[str] = [] 30 for key, val in value.items(): 31 if isinstance(val, (dict, list)): 32 lines.append(f"{spaces}- **{key}**:") 33 lines.extend(format_value(val, indent + 1)) 34 elif isinstance(val, str) and ("\n" in val or len(val) > 80): 35 lines.append(f"{spaces}- **{key}**:") 36 lines.extend(format_block(val, indent + 1)) 37 else: 38 lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") 39 return lines 40 if isinstance(value, list): 41 lines: list[str] = [] 42 for idx, item in enumerate(value, 1): 43 label = f"item {idx}" if isinstance(item, (dict, list)) else None 44 if isinstance(item, (dict, list)): 45 lines.append(f"{spaces}- {label}:") 46 lines.extend(format_value(item, indent + 1)) 47 elif isinstance(item, str) and ("\n" in item or len(item) > 80): 48 lines.append(f"{spaces}- entry {idx}:") 49 lines.extend(format_block(item, indent + 1)) 50 else: 51 lines.append(f"{spaces}- {format_scalar(item)}") 52 return lines 53 if isinstance(value, str) and ("\n" in value or len(value) > 80): 54 return format_block(value, indent) 55 return [f"{spaces}- {format_scalar(value)}"] 56 57 58 def render_markdown(entries: list[dict], source: Path) -> str: 59 if not entries: 60 return f"# Session Log\n\n_No entries found in {source.name}_." 61 62 session_meta = next((e for e in entries if e.get("type") == "session_meta"), None) 63 title = "Session Log" 64 if session_meta: 65 payload = session_meta.get("payload", {}) 66 identifier = payload.get("id") 67 if identifier: 68 title = f"Session Log `{identifier}`" 69 70 lines = [f"# {title}"] 71 72 if session_meta: 73 lines.append("\n## Session Metadata") 74 meta_payload = session_meta.get("payload", {}) 75 meta_lines = format_value({ 76 "timestamp": session_meta.get("timestamp"), 77 "cwd": meta_payload.get("cwd"), 78 "originator": meta_payload.get("originator"), 79 "cli_version": meta_payload.get("cli_version"), 80 "instructions": meta_payload.get("instructions"), 81 }) 82 lines.extend(meta_lines) 83 84 lines.append("\n## Events") 85 for entry in entries: 86 timestamp = entry.get("timestamp", "unknown time") 87 entry_type = entry.get("type", "unknown type") 88 lines.append(f"\n### {timestamp} · {entry_type}") 89 payload = entry.get("payload") 90 if payload is None: 91 lines.append("- _No payload_") 92 continue 93 lines.extend(format_value(payload)) 94 95 return "\n".join(lines) + "\n" 96 97 98 def read_entries(path: Path) -> list[dict]: 99 entries: list[dict] = [] 100 with path.open("r", encoding="utf-8") as handle: 101 for number, line in enumerate(handle, 1): 102 text = line.strip() 103 if not text: 104 continue 105 try: 106 entries.append(json.loads(text)) 107 except json.JSONDecodeError as exc: 108 raise SystemExit(f"Failed to parse JSON on line {number}: {exc}") from exc 109 return entries 110 111 112 def main() -> None: 113 parser = argparse.ArgumentParser(description="Convert Codex JSONL session logs to Markdown") 114 parser.add_argument("path", type=Path, help="Path to the .jsonl file") 115 args = parser.parse_args() 116 117 if not args.path.exists(): 118 raise SystemExit(f"File not found: {args.path}") 119 120 entries = read_entries(args.path) 121 markdown = render_markdown(entries, args.path) 122 print(markdown) 123 124 125 if __name__ == "__main__": 126 main() - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Summarizing final response content
- type: agent_message
- message:
Implemented `log_to_markdown.py` to convert the JSONL session log into a readable Markdown report with metadata and per-event sections. - Added scalar/list/dict formatters to render payloads as Markdown bullets and code blocks for multiline text `log_to_markdown.py:7-55`. - Built renderer that derives a session heading from `session_meta`, prints metadata, and walks all events with timestamps `log_to_markdown.py:58-95`. - CLI wiring loads the JSONL, validates the path, and streams the Markdown to stdout so it can be redirected if needed `log_to_markdown.py:98-126`. Ran `python3 /private/tmp/log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl`, confirmed the full Markdown renders to the terminal. Next steps (if desired): 1. Redirect the output to a `.md` file for archival, e.g. ``python3 log_to_markdown.py … > session.md``.
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Summarizing final response content
- item 1:
- content: null
- encrypted_content: encrypted_content: 2596 bytes
- type: message
- role: assistant
- content:
- item 1:
- type: output_text
- text:
Implemented `log_to_markdown.py` to convert the JSONL session log into a readable Markdown report with metadata and per-event sections. - Added scalar/list/dict formatters to render payloads as Markdown bullets and code blocks for multiline text `log_to_markdown.py:7-55`. - Built renderer that derives a session heading from `session_meta`, prints metadata, and walks all events with timestamps `log_to_markdown.py:58-95`. - CLI wiring loads the JSONL, validates the path, and streams the Markdown to stdout so it can be redirected if needed `log_to_markdown.py:98-126`. Ran `python3 /private/tmp/log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl`, confirmed the full Markdown renders to the terminal. Next steps (if desired): 1. Redirect the output to a `.md` file for archival, e.g. ``python3 log_to_markdown.py … > session.md``.
- item 1:
- type: message
- role: user
- content:
- item 1:
- type: input_text
- text: what is the deal with the encrypted content blocks?
- item 1:
- type: user_message
- message: what is the deal with the encrypted content blocks?
- kind: plain
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Explaining encrypted block content
- type: agent_message
- message:
Those `encrypted_content` payloads are how the Codex CLI logs reasoning text when the run is configured to redact it. Instead of storing raw chain-of-thought tokens, the client encrypts that block with a key only the service can decrypt, so the JSONL keeps a placeholder but hides the actual text. That’s why you see the long `gAAAA…` strings inside code fences. The converter just treats them as multiline strings; there isn’t any way to decrypt them locally without the service key.
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Explaining encrypted block content
- item 1:
- content: null
- encrypted_content: encrypted_content: 1036 bytes
- type: message
- role: assistant
- content:
- item 1:
- type: output_text
- text:
Those `encrypted_content` payloads are how the Codex CLI logs reasoning text when the run is configured to redact it. Instead of storing raw chain-of-thought tokens, the client encrypts that block with a key only the service can decrypt, so the JSONL keeps a placeholder but hides the actual text. That’s why you see the long `gAAAA…` strings inside code fences. The converter just treats them as multiline strings; there isn’t any way to decrypt them locally without the service key.
- item 1:
- type: message
- role: user
- content:
- item 1:
- type: input_text
- text:
Occasionally a command has output like this: {"command":["bash","-lc","cat <<'PY' > webc_inspect.py\n#!/usr/bin/env p... - In those cases - where the command included a JSON string with newlines in it - invent and implement a new format where the code in that long command ends up in a fenced code block to make it easier to read
- item 1:
- type: user_message
- message:
Occasionally a command has output like this: {"command":["bash","-lc","cat <<'PY' > webc_inspect.py\n#!/usr/bin/env p... - In those cases - where the command included a JSON string with newlines in it - invent and implement a new format where the code in that long command ends up in a fenced code block to make it easier to read - kind: plain
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Designing special formatting for command scripts
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Designing special formatting for command scripts
- item 1:
- content: null
- encrypted_content: encrypted_content: 8100 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- entry 3:
rg "cat <<'PY'" build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl
- workdir: /private/tmp
- command:
- call_id: call_DdlOtgMpDs6IzCQux03iYzea
- type: function_call_output
- call_id: call_DdlOtgMpDs6IzCQux03iYzea
- output:
- output:
- metadata:
- exit_code: 1
- duration_seconds: 0.0
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Updating the task plan
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Updating the task plan
- item 1:
- content: null
- encrypted_content: encrypted_content: 1464 bytes
- type: function_call
- name: update_plan
- arguments:
- explanation:
Need to enhance CLI to specially format embedded command JSON strings with multi-line scripts. - plan:
- item 1:
- status: in_progress
- step:
Extend renderer design to detect embedded JSON command strings with newline scripts
- item 2:
- status: pending
- step: Update implementation to emit fenced code blocks for command scripts
- item 3:
- status: pending
- step: Re-run tool to confirm formatting
- item 1:
- explanation:
- call_id: call_AJ8JrSjolXe9w6QHWQZUYHKp
- type: function_call_output
- call_id: call_AJ8JrSjolXe9w6QHWQZUYHKp
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text:
**Planning JSON command formatting approach** I'm thinking through a detailed plan to detect and specially format embedded JSON strings containing commands, handling nested structures carefully. I want to parse string values where possible, format the entire parsed dict with custom command-list formatting, and avoid infinite recursion by controlling how formatting functions call each other. There's a focus on representing command lists with code blocks for multi-line arguments, integrating this into existing formatting logic while preserving indentation and bullet structure. I'll implement helpers like `format_command_list` and adjust `format_value` to recognize and customize the "command" key properly. This will make the output much clearer when commands contain scripts or long multi-line strings. It's a lot, but this stepwise approach should fit cleanly into the overall formatter!
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text:
**Planning JSON command formatting approach** I'm thinking through a detailed plan to detect and specially format embedded JSON strings containing commands, handling nested structures carefully. I want to parse string values where possible, format the entire parsed dict with custom command-list formatting, and avoid infinite recursion by controlling how formatting functions call each other. There's a focus on representing command lists with code blocks for multi-line arguments, integrating this into existing formatting logic while preserving indentation and bullet structure. I'll implement helpers like `format_command_list` and adjust `format_value` to recognize and customize the "command" key properly. This will make the output much clearer when commands contain scripts or long multi-line strings. It's a lot, but this stepwise approach should fit cleanly into the overall formatter!
- item 1:
- content: null
- encrypted_content: encrypted_content: 18764 bytes
- type: function_call
- name: shell
- arguments:
- command:
bash-lc- arg 3 (script):
cat <<'PY' > /private/tmp/log_to_markdown.py #!/usr/bin/env python3 import argparse import json from pathlib import Path from typing import Iterable def format_scalar(value: object) -> str: if value is None: return "null" if isinstance(value, bool): return "true" if value else "false" if isinstance(value, (int, float)): return str(value) return str(value) def format_block(text: str, indent: int) -> list[str]: spaces = " " * indent inner = text.splitlines() or [""] lines = [f"{spaces}```"] lines.extend(f"{spaces}{line}" for line in inner) lines.append(f"{spaces}```") return lines def command_has_multiline(command: Iterable[object]) -> bool: for item in command: if isinstance(item, str) and "\n" in item: return True return False def format_command_list(command: Iterable[object], indent: int) -> list[str]: spaces = " " * indent lines: list[str] = [] for idx, item in enumerate(command, 1): if isinstance(item, str) and "\n" in item: lines.append(f"{spaces}- arg {idx} (script):") lines.extend(format_block(item, indent + 1)) else: lines.append(f"{spaces}- `{format_scalar(item)}`") return lines def try_format_embedded_command_json(text: str, indent: int) -> list[str] | None: try: parsed = json.loads(text) except (TypeError, json.JSONDecodeError): return None if not isinstance(parsed, dict): return None command = parsed.get("command") if not isinstance(command, list) or not command_has_multiline(command): return None return format_value(parsed, indent) def format_value(value: object, indent: int = 0) -> list[str]: spaces = " " * indent if isinstance(value, dict): lines: list[str] = [] for key, val in value.items(): if key == "command" and isinstance(val, list) and command_has_multiline(val): lines.append(f"{spaces}- **{key}**:") lines.extend(format_command_list(val, indent + 1)) elif isinstance(val, (dict, list)): lines.append(f"{spaces}- **{key}**:") lines.extend(format_value(val, indent + 1)) elif isinstance(val, str): embedded = try_format_embedded_command_json(val, indent + 1) if embedded is not None: lines.append(f"{spaces}- **{key}**:") lines.extend(embedded) elif "\n" in val or len(val) > 80: lines.append(f"{spaces}- **{key}**:") lines.extend(format_block(val, indent + 1)) else: lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") else: lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") return lines if isinstance(value, list): lines = [] for idx, item in enumerate(value, 1): label = f"item {idx}" if isinstance(item, (dict, list)) else None if isinstance(item, (dict, list)): lines.append(f"{spaces}- {label}:") lines.extend(format_value(item, indent + 1)) elif isinstance(item, str) and ("\n" in item or len(item) > 80): lines.append(f"{spaces}- entry {idx}:") lines.extend(format_block(item, indent + 1)) else: lines.append(f"{spaces}- {format_scalar(item)}") return lines if isinstance(value, str) and ("\n" in value or len(value) > 80): return format_block(value, indent) return [f"{spaces}- {format_scalar(value)}"] def render_markdown(entries: list[dict], source: Path) -> str: if not entries: return f"# Session Log\n\n_No entries found in {source.name}_." session_meta = next((e for e in entries if e.get("type") == "session_meta"), None) title = "Session Log" if session_meta: payload = session_meta.get("payload", {}) identifier = payload.get("id") if identifier: title = f"Session Log `{identifier}`" lines = [f"# {title}"] if session_meta: lines.append("\n## Session Metadata") meta_payload = session_meta.get("payload", {}) meta_lines = format_value({ "timestamp": session_meta.get("timestamp"), "cwd": meta_payload.get("cwd"), "originator": meta_payload.get("originator"), "cli_version": meta_payload.get("cli_version"), "instructions": meta_payload.get("instructions"), }) lines.extend(meta_lines) lines.append("\n## Events") for entry in entries: timestamp = entry.get("timestamp", "unknown time") entry_type = entry.get("type", "unknown type") lines.append(f"\n### {timestamp} · {entry_type}") payload = entry.get("payload") if payload is None: lines.append("- _No payload_") continue lines.extend(format_value(payload)) return "\n".join(lines) + "\n" def read_entries(path: Path) -> list[dict]: entries: list[dict] = [] with path.open("r", encoding="utf-8") as handle: for number, line in enumerate(handle, 1): text = line.strip() if not text: continue try: entries.append(json.loads(text)) except json.JSONDecodeError as exc: raise SystemExit(f"Failed to parse JSON on line {number}: {exc}") from exc return entries def main() -> None: parser = argparse.ArgumentParser(description="Convert Codex JSONL session logs to Markdown") parser.add_argument("path", type=Path, help="Path to the .jsonl file") args = parser.parse_args() if not args.path.exists(): raise SystemExit(f"File not found: {args.path}") entries = read_entries(args.path) markdown = render_markdown(entries, args.path) print(markdown) if __name__ == "__main__": main() PY
- workdir: /private/tmp
- command:
- call_id: call_6Qre3oEGKeEiuWN1LJZ9StUf
- type: function_call_output
- call_id: call_6Qre3oEGKeEiuWN1LJZ9StUf
- output:
- output:
- metadata:
- exit_code: 0
- duration_seconds: 0.0
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Updating plan status
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Updating plan status
- item 1:
- content: null
- encrypted_content: encrypted_content: 996 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step:
Extend renderer design to detect embedded JSON command strings with newline scripts
- item 2:
- status: in_progress
- step: Update implementation to emit fenced code blocks for command scripts
- item 3:
- status: pending
- step: Re-run tool to confirm formatting
- item 1:
- plan:
- call_id: call_GMAfnb3dV3UVbrOkf3xhePjf
- type: function_call_output
- call_id: call_GMAfnb3dV3UVbrOkf3xhePjf
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Confirming implementation completion
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Confirming implementation completion
- item 1:
- content: null
- encrypted_content: encrypted_content: 932 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step:
Extend renderer design to detect embedded JSON command strings with newline scripts
- item 2:
- status: completed
- step: Update implementation to emit fenced code blocks for command scripts
- item 3:
- status: in_progress
- step: Re-run tool to confirm formatting
- item 1:
- plan:
- call_id: call_kdOzOC3VXOZqaHpN1YspNtz4
- type: function_call_output
- call_id: call_kdOzOC3VXOZqaHpN1YspNtz4
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Re-running script for regression check
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Re-running script for regression check
- item 1:
- content: null
- encrypted_content: encrypted_content: 1080 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- entry 3:
python3 /private/tmp/log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl
- workdir: /private/tmp
- command:
- call_id: call_rkx0cYXP48LohazGnDdWoUsF
- type: function_call_output
- call_id: call_rkx0cYXP48LohazGnDdWoUsF
- output:
-
output:
# Session Log `01997ce0-c98e-70b0-9302-eca29f1c454f` ## Session Metadata - **timestamp**: 2025-09-24T17:58:50.523Z - **cwd**: /Users/simon/.wasmer/cache/compiled - **originator**: codex_cli_rs - **cli_version**: 0.39.0 - **instructions**: null ## Events ### 2025-09-24T17:58:50.523Z · session_meta - **id**: 01997ce0-c98e-70b0-9302-eca29f1c454f - **timestamp**: 2025-09-24T17:58:50.510Z - **cwd**: /Users/simon/.wasmer/cache/compiled - **originator**: codex_cli_rs - **cli_version**: 0.39.0 - **instructions**: null ### 2025-09-24T17:58:50.523Z · response_item - **type**: message - **role**: user - **content**: - item 1: - **type**: input_text - **text**: ``` <environment_context> <cwd>/Users/simon/.wasmer/cache/compiled</cwd> <approval_policy>never</approval_policy> <sandbox_mode>danger-full-access</sandbox_mode> <network_access>enabled</network_access> <shell>zsh</shell> </environment_context> ``` ### 2025-09-24T17:58:59.119Z · response_item - **type**: message - **role**: user - **content**: - item 1: - **type**: input_text - **text**: Find all the .bin files in here and tell me about them ### 2025-09-24T17:58:59.119Z · event_msg - **type**: user_message - **message**: Find all the .bin files in here and tell me about them - **kind**: plain ### 2025-09-24T17:58:59.120Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T17:59:04.021Z · event_msg - **type**: agent_reasoning - **text**: **Choosing method to find .bin files** ### 2025-09-24T17:59:04.644Z · event_msg - **type**: token_count - **info**: - **total_token_usage**: - **input_tokens**: 2594 - **cached_input_tokens**: 2432 - **output_tokens**: 235 - **reasoning_output_tokens**: 192 - **total_tokens**: 2829 - **last_token_usage**: - **input_tokens**: 2594 - **cached_input_tokens**: 2432 - **output_tokens**: 235 - **reasoning_output_tokens**: 192 - **total_tokens**: 2829 - **model_context_window**: 272000 ### 2025-09-24T17:59:04.644Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Choosing method to find .bin files** - **content**: null - **encrypted_content**:gAAAAABo1DFnR0_cx2WzGczqZWJAnj_WxyLSbFRsMKiXHGTNhdrT_RTSalHvqSxkK9SMTL5MnKkMHQ-ydN4YuRzT53d5zKaL70j_GpYMjNHb7zrw7YjWLTSw1pLccuWgoIOXJF0VSUX6goDIJDITkmHKGVepBREEnDaGTLkufxY8SoBwpD8QnFjpH1utxtc95pQNyrLn4ANhJ28FZ6ChQzpjVTCiGRRU83knj6JmYTiU_77gAoEmi8vH8P-uMhO_i7suk8xe61VXro2ljQegAJzKV3sfchFXP04JOdS5Vw8_wPl9EYa3tXNXC1rsOdjSj8xFutevYLCveMsoVUKqt85F0J1iRH8lo3kDOblS3t05KcGK639lsClaM4f9Ye77WQmARH2cVvIGoJ0a2SW_blNpjJXQfXqgQ6HXeZGkcyy7TKoe8TCwmHXTxWsJYnXNml50M1ZM_NoWYB0YtPzezJrV_Y9YZMse_eWQBqRa5UZfQE4hI30B8CmmiGers1AGvWONCOHXu1Mte3iUU9ofKQRAVHOnT1mJ2_gkNPLet3ravUGa2Yx2cvT7y3vGJlMfyEYPHkLgBgUhR-3ICpjSCtCNvHfg5Zgl7AG2_0FK3sfIANEc7Sao25K1SSd5qOOe1OIxGCsr1u3VOc3Iys8ChkstOgB08hgvkI6l8p0937GjdJjMNsT0jtJl_84F0Q41nNTFBkKxwzqBSQEqat-y5lPFcNg2Gp8EpNZbaFzVsFBvLVhGC27MViJDlAVVjatkb280_VlWrjBzyN1NERyb_fV-xAkn3dvVjC6aa_VjNd5BYN1v2ob963n9P4KnPjFax59tEeXNm5Waice8mi40TOX4rwXrPTH71i_Ij50AfYZTvFXXNs7Q1BKr-mLEDv-Io1eQ8PCbNWQNeWFyi5omyim0dutvvsUt9AJQnZ178wrkuG_dsfDNoDTMdN7s50lZZdnpf7IWBmykr4rp3Sm0-IageyGB3C_vAJ8p15mDUcRU4e1f-J1NfBkx5H81akc9693Cy8kDPTvMRA501Fz35cSkcJ8OYBUjoZ6LiwCIz5rTdxnSBiK93Lw8YXMkXMeF_FShMR4pxqCNSKxsnNgA3EvKMyNZcoRC423BLsm4YEptlV6Xk60oDYeWLIfbZY4YVwCyMV7T6lWLuKXzDGDFTrNIMVO6RQDbDjNmAtjiD1hLoQ4xPMPUTllAkm_EOvID6K9su5vU9MTPoEQOc5LIooG9tPeRLDbq-POCcV4guIIUtBoFNsgLhFim56W_iP8_-gHH9SMiEOeoUE79B2xoymcRroG7XkSm2koJiYOGVz7GY_tCZUhRtYqFLuzVnaJxII1212dP9ZjXTeSTPx2F_wy3ouBP9jgrBL6QBFGU4HQUVs9B0WXB_yDnMvCfDP9_jhg12a1h1uP_VMXRaYATrJJnwsdOPLvbbAtIjvBu_h7wn7Sbl9k0AeGPcBjo-a6N_gyXGJwY4QCZoYGZXSBktMFGHt4rq4oUPUzV1Xmag3-Z4L5socMZcDpRZ_u40tRQMz7iV1UaJITkZedgVno49pYq3mwfks_NR8YOl7o0daa73ukGjdQodMdjx7Ug790PHw19JPE3T2nmjCLdBiGPL3yBARmSDUcUlOv4iLwSOVhadBqSGfycU2-2vKYnJo3lR2TDuFRN_2GF_nUXRGYP3nPFyP0VsF4lojpw87c6fZONeSKr9Megme5uHIISDIQERmo7ioPPQqazNK8DvQdkX12uwn8AWrG7qBAPEjbhj3bUdtG6wUJ_5RBZK1rCgMm8WRLv2uZEjlzbJeALsc46-hZw017UY5MwM-ZUuvav9wR3L0JymbVjSJqfsGQCrGJ5iCR-bVRtFcNUsOZMYP386408bOlXbqTC44MscGMZuZxY6Eif_9CBKMm5-ibaasyt20wwDl-D2MfFvT5c4GWAc8t1_nkmCQfmA6OfPNcvFzZeQ1m20XhEwQMaNFT88AerdHnuUSdp8O0l7SxKJO4ygjMEp5ZDE67ck6dgCvFSZ0J_ITluWJ4RmqQFzG9r_GaxTjn456l7MRK93oRn8FqWfbTp6aZMHevxRXrVc8yPgESbdR1VGJemvT0=
### 2025-09-24T17:59:04.644Z · response_item - **type**: function_call - **name**: shell - **arguments**:{"command":["bash","-lc","rg --files -g '*.bin'"],"workdir":".","timeout_ms":120000}
- **call_id**: call_UlQ2PjQyrdV6T3gaGTUaE6gh ### 2025-09-24T17:59:04.644Z · response_item - **type**: function_call_output - **call_id**: call_UlQ2PjQyrdV6T3gaGTUaE6gh - **output**:{"output":"engine-cranelift-v8/5425DA1C916E6418.bin\nllvm-opta-v11/6FF585E693146EFFF128C022CED66D64BFA81DF6763F79DD4AF8600608BA4D34.bin\ncranelift-v11/F86F3D200655529C09022751385000585777B [... omitted 352 of 608 lines ...]
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### 2025-09-24T18:00:54.017Z · response_item - **type**: message - **role**: assistant - **content**: - item 1: - **type**: output_text - **text**: ``` - `*.bin` share the same header: the first 16 bytes read `wasmer-universal`, followed by the marker `WASMER` and some little-endian integers (e.g. `0x00000800` on the v8 artifact, `0x00000b00` on the v11 artifacts) that match Wasmer’s “universal” cache format versioning. So these aren’t ELF/Mach-O/etc.; they’re Wasmer’s proprietary cache blobs. - The payload past the header is architecture-specific machine code plus serialized metadata that Wasmer uses to skip recompiling a WebAssembly module. A quick string scan (`strings -n 8 … | head`) only turns up short alignment filler like `KjKj8kKk8_`, which is typical of raw code sections—no embedded symbols or human-readable data appear. - You’d need Wasmer’s internals (or the original `.wasm`) to interpret anything more meaningful; to the naked eye they’re opaque machine code caches tied to the engine that generated them. Deleting them just forces a recompilation when that module runs again. ``` -
metadata:
- exit_code: 0
- duration_seconds: 0.0
-
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Confirming successful step completion
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Confirming successful step completion
- item 1:
- content: null
- encrypted_content: encrypted_content: 952 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step:
Extend renderer design to detect embedded JSON command strings with newline scripts
- item 2:
- status: completed
- step: Update implementation to emit fenced code blocks for command scripts
- item 3:
- status: completed
- step: Re-run tool to confirm formatting
- item 1:
- plan:
- call_id: call_tkcuRNl55mBT9YfwPAxlHQKJ
- type: function_call_output
- call_id: call_tkcuRNl55mBT9YfwPAxlHQKJ
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Considering test data creation
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Considering test data creation
- item 1:
- content: null
- encrypted_content: encrypted_content: 1508 bytes
- type: function_call
- name: shell
- arguments:
- command:
bash-lc- arg 3 (script):
cat <<'EOF' > /private/tmp/test.jsonl {"timestamp":"2024-01-01T00:00:00Z","type":"function_call","payload":{"command":["bash","-lc","echo 'simple'"]}} {"timestamp":"2024-01-01T00:00:01Z","type":"function_call","payload":{"command":["bash","-lc","cat <<'PY' > script.py\nprint('hi')\nPY\n"],"note":"demo"}} {"timestamp":"2024-01-01T00:00:02Z","type":"function_call","payload":{"arguments":"{\"command\":[\"bash\",\"-lc\",\"cat <<'PY' > script.py\\nprint('hi')\\nPY\\n\"],\"workdir\":\".\"}"}} EOF
- workdir: /private/tmp
- command:
- call_id: call_TW2vXZlrTJpelqmKMkn0km45
- type: function_call_output
- call_id: call_TW2vXZlrTJpelqmKMkn0km45
- output:
- output:
- metadata:
- exit_code: 0
- duration_seconds: 0.0
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Running test tool
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Running test tool
- item 1:
- content: null
- encrypted_content: encrypted_content: 932 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- python3 /private/tmp/log_to_markdown.py /private/tmp/test.jsonl
- workdir: /private/tmp
- command:
- call_id: call_cCW9fr6V7PA2XjzTfFYhq82x
- type: function_call_output
- call_id: call_cCW9fr6V7PA2XjzTfFYhq82x
- output:
- output:
# Session Log ## Events ### 2024-01-01T00:00:00Z · function_call - **command**: - bash - -lc - echo 'simple' ### 2024-01-01T00:00:01Z · function_call - **command**: - `bash` - `-lc` - arg 3 (script): ``` cat <<'PY' > script.py print('hi') PY ``` - **note**: demo ### 2024-01-01T00:00:02Z · function_call - **arguments**: - **command**: - `bash` - `-lc` - arg 3 (script): ``` cat <<'PY' > script.py print('hi') PY ``` - **workdir**: . - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Clarifying command list formatting nuances
- type: agent_message
- message:
Updated the converter so embedded shell scripts land in fenced blocks: `command` arrays with multiline args now render via a custom formatter (`format_command_list` plus JSON auto-detection) and even command JSON strings are parsed before display `log_to_markdown.py:5-118`. Ran the tool on the rollout log and an artificial sample containing heredoc commands to confirm the new formatting (`python3 log_to_markdown.py …/rollout…jsonl`, `python3 log_to_markdown.py test.jsonl`).
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Clarifying command list formatting nuances
- item 1:
- content: null
- encrypted_content: encrypted_content: 3532 bytes
- type: message
- role: assistant
- content:
- item 1:
- type: output_text
- text:
Updated the converter so embedded shell scripts land in fenced blocks: `command` arrays with multiline args now render via a custom formatter (`format_command_list` plus JSON auto-detection) and even command JSON strings are parsed before display `log_to_markdown.py:5-118`. Ran the tool on the rollout log and an artificial sample containing heredoc commands to confirm the new formatting (`python3 log_to_markdown.py …/rollout…jsonl`, `python3 log_to_markdown.py test.jsonl`).
- item 1:
- type: message
- role: user
- content:
- item 1:
- type: input_text
- text:
Make it so those encrypted_content blocks end up as just a message that says "encrypted_content: 1222 bytes"
- item 1:
- type: user_message
- message:
Make it so those encrypted_content blocks end up as just a message that says "encrypted_content: 1222 bytes" - kind: plain
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Planning script modification
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Planning script modification
- item 1:
- content: null
- encrypted_content: encrypted_content: 1228 bytes
- type: function_call
- name: update_plan
- arguments:
- explanation:
Need to tweak Markdown rendering so encrypted_content entries summarize with size info. - plan:
- item 1:
- status: in_progress
- step: Adjust value formatter to summarize encrypted content blocks
- item 2:
- status: pending
- step: Regenerate Markdown for sample logs to validate change
- item 3:
- status: pending
- step: Re-run full log conversion to ensure behavior stays correct
- item 1:
- explanation:
- call_id: call_qiSA2qe6Omlo20qjZbPksTJa
- type: function_call_output
- call_id: call_qiSA2qe6Omlo20qjZbPksTJa
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Enhancing formatting for encrypted_content
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Enhancing formatting for encrypted_content
- item 1:
- content: null
- encrypted_content: encrypted_content: 3620 bytes
- type: function_call
- name: shell
- arguments:
- command:
bash-lc- arg 3 (script):
cat <<'PY' > /private/tmp/log_to_markdown.py #!/usr/bin/env python3 import argparse import json from pathlib import Path from typing import Iterable def format_scalar(value: object) -> str: if value is None: return "null" if isinstance(value, bool): return "true" if value else "false" if isinstance(value, (int, float)): return str(value) return str(value) def format_block(text: str, indent: int) -> list[str]: spaces = " " * indent inner = text.splitlines() or [""] lines = [f"{spaces}```"] lines.extend(f"{spaces}{line}" for line in inner) lines.append(f"{spaces}```") return lines def command_has_multiline(command: Iterable[object]) -> bool: for item in command: if isinstance(item, str) and "\n" in item: return True return False def format_command_list(command: Iterable[object], indent: int) -> list[str]: spaces = " " * indent lines: list[str] = [] for idx, item in enumerate(command, 1): if isinstance(item, str) and "\n" in item: lines.append(f"{spaces}- arg {idx} (script):") lines.extend(format_block(item, indent + 1)) else: lines.append(f"{spaces}- `{format_scalar(item)}`") return lines def try_format_embedded_command_json(text: str, indent: int) -> list[str] | None: try: parsed = json.loads(text) except (TypeError, json.JSONDecodeError): return None if not isinstance(parsed, dict): return None command = parsed.get("command") if not isinstance(command, list) or not command_has_multiline(command): return None return format_value(parsed, indent) def format_value(value: object, indent: int = 0) -> list[str]: spaces = " " * indent if isinstance(value, dict): lines: list[str] = [] for key, val in value.items(): if key == "command" and isinstance(val, list) and command_has_multiline(val): lines.append(f"{spaces}- **{key}**:") lines.extend(format_command_list(val, indent + 1)) elif isinstance(val, (dict, list)): lines.append(f"{spaces}- **{key}**:") lines.extend(format_value(val, indent + 1)) elif isinstance(val, str): if key == "encrypted_content": byte_count = len(val.encode("utf-8")) lines.append(f"{spaces}- **{key}**: encrypted_content: {byte_count} bytes") continue embedded = try_format_embedded_command_json(val, indent + 1) if embedded is not None: lines.append(f"{spaces}- **{key}**:") lines.extend(embedded) elif "\n" in val or len(val) > 80: lines.append(f"{spaces}- **{key}**:") lines.extend(format_block(val, indent + 1)) else: lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") else: lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") return lines if isinstance(value, list): lines = [] for idx, item in enumerate(value, 1): label = f"item {idx}" if isinstance(item, (dict, list)) else None if isinstance(item, (dict, list)): lines.append(f"{spaces}- {label}:") lines.extend(format_value(item, indent + 1)) elif isinstance(item, str) and ("\n" in item or len(item) > 80): lines.append(f"{spaces}- entry {idx}:") lines.extend(format_block(item, indent + 1)) else: lines.append(f"{spaces}- {format_scalar(item)}") return lines if isinstance(value, str) and ("\n" in value or len(value) > 80): return format_block(value, indent) return [f"{spaces}- {format_scalar(value)}"] def render_markdown(entries: list[dict], source: Path) -> str: if not entries: return f"# Session Log\n\n_No entries found in {source.name}_." session_meta = next((e for e in entries if e.get("type") == "session_meta"), None) title = "Session Log" if session_meta: payload = session_meta.get("payload", {}) identifier = payload.get("id") if identifier: title = f"Session Log `{identifier}`" lines = [f"# {title}"] if session_meta: lines.append("\n## Session Metadata") meta_payload = session_meta.get("payload", {}) meta_lines = format_value({ "timestamp": session_meta.get("timestamp"), "cwd": meta_payload.get("cwd"), "originator": meta_payload.get("originator"), "cli_version": meta_payload.get("cli_version"), "instructions": meta_payload.get("instructions"), }) lines.extend(meta_lines) lines.append("\n## Events") for entry in entries: timestamp = entry.get("timestamp", "unknown time") entry_type = entry.get("type", "unknown type") lines.append(f"\n### {timestamp} · {entry_type}") payload = entry.get("payload") if payload is None: lines.append("- _No payload_") continue lines.extend(format_value(payload)) return "\n".join(lines) + "\n" def read_entries(path: Path) -> list[dict]: entries: list[dict] = [] with path.open("r", encoding="utf-8") as handle: for number, line in enumerate(handle, 1): text = line.strip() if not text: continue try: entries.append(json.loads(text)) except json.JSONDecodeError as exc: raise SystemExit(f"Failed to parse JSON on line {number}: {exc}") from exc return entries def main() -> None: parser = argparse.ArgumentParser(description="Convert Codex JSONL session logs to Markdown") parser.add_argument("path", type=Path, help="Path to the .jsonl file") args = parser.parse_args() if not args.path.exists(): raise SystemExit(f"File not found: {args.path}") entries = read_entries(args.path) markdown = render_markdown(entries, args.path) print(markdown) if __name__ == "__main__": main() PY
- workdir: /private/tmp
- command:
- call_id: call_uN7HjPPMwoOY4xmh75XJdtgU
- type: function_call_output
- call_id: call_uN7HjPPMwoOY4xmh75XJdtgU
- output:
- output:
- metadata:
- exit_code: 0
- duration_seconds: 0.0
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Preparing to run tests before finalizing plan
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Preparing to run tests before finalizing plan
- item 1:
- content: null
- encrypted_content: encrypted_content: 1016 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step: Adjust value formatter to summarize encrypted content blocks
- item 2:
- status: in_progress
- step: Regenerate Markdown for sample logs to validate change
- item 3:
- status: pending
- step: Re-run full log conversion to ensure behavior stays correct
- item 1:
- plan:
- call_id: call_cXwjq4Fjb7CDfZ4IJTdjBXj3
- type: function_call_output
- call_id: call_cXwjq4Fjb7CDfZ4IJTdjBXj3
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Running a sample test
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Running a sample test
- item 1:
- content: null
- encrypted_content: encrypted_content: 908 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- python3 /private/tmp/log_to_markdown.py /private/tmp/test.jsonl
- workdir: /private/tmp
- command:
- call_id: call_ToK9OQxl0OrBnhe2dsPE30qq
- type: function_call_output
- call_id: call_ToK9OQxl0OrBnhe2dsPE30qq
- output:
- output:
# Session Log ## Events ### 2024-01-01T00:00:00Z · function_call - **command**: - bash - -lc - echo 'simple' ### 2024-01-01T00:00:01Z · function_call - **command**: - `bash` - `-lc` - arg 3 (script): ``` cat <<'PY' > script.py print('hi') PY ``` - **note**: demo ### 2024-01-01T00:00:02Z · function_call - **arguments**: - **command**: - `bash` - `-lc` - arg 3 (script): ``` cat <<'PY' > script.py print('hi') PY ``` - **workdir**: . - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Preparing to run on real log
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Preparing to run on real log
- item 1:
- content: null
- encrypted_content: encrypted_content: 972 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- entry 3:
python3 /private/tmp/log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl
- workdir: /private/tmp
- command:
- call_id: call_rpMgvOzYi4Skxtgn3adA9iTh
- type: function_call_output
- call_id: call_rpMgvOzYi4Skxtgn3adA9iTh
- output:
- output:
{"command":["bash","-lc","rg --files -g '*.bin'"],"workdir":".","timeout_ms":120000}# Session Log `01997ce0-c98e-70b0-9302-eca29f1c454f` ## Session Metadata - **timestamp**: 2025-09-24T17:58:50.523Z - **cwd**: /Users/simon/.wasmer/cache/compiled - **originator**: codex_cli_rs - **cli_version**: 0.39.0 - **instructions**: null ## Events ### 2025-09-24T17:58:50.523Z · session_meta - **id**: 01997ce0-c98e-70b0-9302-eca29f1c454f - **timestamp**: 2025-09-24T17:58:50.510Z - **cwd**: /Users/simon/.wasmer/cache/compiled - **originator**: codex_cli_rs - **cli_version**: 0.39.0 - **instructions**: null ### 2025-09-24T17:58:50.523Z · response_item - **type**: message - **role**: user - **content**: - item 1: - **type**: input_text - **text**: ``` <environment_context> <cwd>/Users/simon/.wasmer/cache/compiled</cwd> <approval_policy>never</approval_policy> <sandbox_mode>danger-full-access</sandbox_mode> <network_access>enabled</network_access> <shell>zsh</shell> </environment_context> ``` ### 2025-09-24T17:58:59.119Z · response_item - **type**: message - **role**: user - **content**: - item 1: - **type**: input_text - **text**: Find all the .bin files in here and tell me about them ### 2025-09-24T17:58:59.119Z · event_msg - **type**: user_message - **message**: Find all the .bin files in here and tell me about them - **kind**: plain ### 2025-09-24T17:58:59.120Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T17:59:04.021Z · event_msg - **type**: agent_reasoning - **text**: **Choosing method to find .bin files** ### 2025-09-24T17:59:04.644Z · event_msg - **type**: token_count - **info**: - **total_token_usage**: - **input_tokens**: 2594 - **cached_input_tokens**: 2432 - **output_tokens**: 235 - **reasoning_output_tokens**: 192 - **total_tokens**: 2829 - **last_token_usage**: - **input_tokens**: 2594 - **cached_input_tokens**: 2432 - **output_tokens**: 235 - **reasoning_output_tokens**: 192 - **total_tokens**: 2829 - **model_context_window**: 272000 ### 2025-09-24T17:59:04.644Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Choosing method to find .bin files** - **content**: null - **encrypted_content**: encrypted_content: 2104 bytes ### 2025-09-24T17:59:04.644Z · response_item - **type**: function_call - **name**: shell - **arguments**:
{"output":"engine-cranelift-v8/5425DA1C916E6418.bin\nllvm-opta-v11/6FF585E693146EFFF128C022CED66D64BFA81DF6763F79DD4AF8600608BA4D34.bin\ncranelift-v11/F86F3D200655529C09022751385000585777BD5414CE9DA9C3956A91D9BD05B4.bin\n","metadata":{"exit_code":0,"duration_seconds":0.0}}- **call_id**: call_UlQ2PjQyrdV6T3gaGTUaE6gh ### 2025-09-24T17:59:04.644Z · response_item - **type**: function_call_output - **call_id**: call_UlQ2PjQyrdV6T3gaGTUaE6gh - **output**:
{"command":["bash","-lc","xxd -l 64 cranelift-v11/F86F3D200655529C09022751385000585777BD5414CE9DA9C3956A91D9BD05B4.bin"],"workdir":".","timeout_ms":120000}### 2025-09-24T17:59:04.644Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T17:59:07.221Z · event_msg - **type**: agent_reasoning - **text**: **Gathering file details** ### 2025-09-24T17:59:08.193Z · event_msg - **type**: token_count - **info**: - **total_token_usage**: - **input_tokens**: 5565 - **cached_input_tokens**: 4864 - **output_tokens**: 362 - **reasoning_output_tokens**: 256 - **total_tokens**: 5927 - **last_token_usage**: - **input_tokens**: 2971 - **cached_input_tokens**: 2432 [... omitted 325 of 581 lines ...]
{"output":"00000000: 7761 736d 6572 2d75 6e69 7665 7273 616c wasmer-universal\n00000010: 5741 534d 4552 0000 0b00 0000 7088 9306 WASMER......p...\n00000020: fd7b bfa9 fd03 0091 062c 45f9 c100 00b9 .{.......,E.....\n00000030: e303 01aa 07b4 48f9 0400 8052 8510 8052 ......H....R...R\n","metadata":{"exit_code":0,"duration_seconds":0.0}}- **call_id**: call_Jy9UhSBd5hUxYeB4HM8RFGtD ### 2025-09-24T18:00:31.396Z · response_item - **type**: function_call_output - **call_id**: call_Jy9UhSBd5hUxYeB4HM8RFGtD - **output**:
{"command":["bash","-lc","strings -n 8 engine-cranelift-v8/5425DA1C916E6418.bin | head"],"workdir":".","timeout_ms":120000}### 2025-09-24T18:00:31.396Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T18:00:41.844Z · event_msg - **type**: agent_reasoning - **text**: **Identifying Wasmer universal artifact format** ### 2025-09-24T18:00:43.589Z · event_msg - **type**: token_count - **info**: - **total_token_usage**: - **input_tokens**: 28353 - **cached_input_tokens**: 22016 - **output_tokens**: 1417 - **reasoning_output_tokens**: 640 - **total_tokens**: 29770 - **last_token_usage**: - **input_tokens**: 4455 - **cached_input_tokens**: 2560 - **output_tokens**: 123 - **reasoning_output_tokens**: 64 - **total_tokens**: 4578 - **model_context_window**: 272000 ### 2025-09-24T18:00:43.590Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Identifying Wasmer universal artifact format** - **content**: null - **encrypted_content**: encrypted_content: 1316 bytes ### 2025-09-24T18:00:43.590Z · response_item - **type**: function_call - **name**: shell - **arguments**:
{"output":"wasmer-universalWASMER\nTGIe8HIf8\n\fIl8i!\fJI\nKlKl8mKm8\nKjKj8kKk8_\nKiKi8hKh8?\nK(Kh8)Ki8\nK&Kf8'Kg8\nK%Ke8$Kd8\nIyxOK.x'\n","metadata":{"exit_code":0,"duration_seconds":1.1}}- **call_id**: call_fAHPmcDCay3gZkECi0CBDWm3 ### 2025-09-24T18:00:43.590Z · response_item - **type**: function_call_output - **call_id**: call_fAHPmcDCay3gZkECi0CBDWm3 - **output**:### 2025-09-24T18:00:43.590Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T18:00:51.511Z · event_msg - **type**: agent_reasoning - **text**: **Analyzing Wasmer universal artifact format** ### 2025-09-24T18:00:54.001Z · event_msg - **type**: agent_message - **message**:*.binshare the same header: the first 16 bytes readwasmer-universal, followed by the markerWASMERand some little-endian integers (e.g.0x00000800on the v8 artifact,0x00000b00on the v11 artifacts) that match Wasmer’s “universal” cache format versioning. So these aren’t ELF/Mach-O/etc.; they’re Wasmer’s proprietary cache blobs.- The payload past the header is architecture-specific machine code plus serialized metadata that Wasmer uses to skip recompiling a WebAssembly module. A quick string scan (
strings -n 8 … | head) only turns up short alignment filler likeKjKj8kKk8_, which is typical of raw code sections—no embedded symbols or human-readable data appear. - You’d need Wasmer’s internals (or the original
.wasm) to interpret anything more meaningful; to the naked eye they’re opaque machine code caches tied to the engine that generated them. Deleting them just forces a recompilation when that module runs again.
### 2025-09-24T18:00:54.017Z · event_msg - **type**: token_count - **info**: - **total_token_usage**: - **input_tokens**: 33050 - **cached_input_tokens**: 26112 - **output_tokens**: 2232 - **reasoning_output_tokens**: 1216 - **total_tokens**: 35282 - **last_token_usage**: - **input_tokens**: 4697 - **cached_input_tokens**: 4096 - **output_tokens**: 815 - **reasoning_output_tokens**: 576 - **total_tokens**: 5512 - **model_context_window**: 272000 ### 2025-09-24T18:00:54.017Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Analyzing Wasmer universal artifact format** - **content**: null - **encrypted_content**: encrypted_content: 4216 bytes ### 2025-09-24T18:00:54.017Z · response_item - **type**: message - **role**: assistant - **content**: - item 1: - **type**: output_text - **text**: ``` - `*.bin` share the same header: the first 16 bytes read `wasmer-universal`, followed by the marker `WASMER` and some little-endian integers (e.g. `0x00000800` on the v8 artifact, `0x00000b00` on the v11 artifacts) that match Wasmer’s “universal” cache format versioning. So these aren’t ELF/Mach-O/etc.; they’re Wasmer’s proprietary cache blobs. - The payload past the header is architecture-specific machine code plus serialized metadata that Wasmer uses to skip recompiling a WebAssembly module. A quick string scan (`strings -n 8 … | head`) only turns up short alignment filler like `KjKj8kKk8_`, which is typical of raw code sections—no embedded symbols or human-readable data appear. - You’d need Wasmer’s internals (or the original `.wasm`) to interpret anything more meaningful; to the naked eye they’re opaque machine code caches tied to the engine that generated them. Deleting them just forces a recompilation when that module runs again. ``` - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Finalizing plan status
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Finalizing plan status
- item 1:
- content: null
- encrypted_content: encrypted_content: 996 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step: Adjust value formatter to summarize encrypted content blocks
- item 2:
- status: completed
- step: Regenerate Markdown for sample logs to validate change
- item 3:
- status: completed
- step: Re-run full log conversion to ensure behavior stays correct
- item 1:
- plan:
- call_id: call_9IXS2vUDfrpu5suwr9BYAF0S
- type: function_call_output
- call_id: call_9IXS2vUDfrpu5suwr9BYAF0S
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Getting line numbers for final message
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Getting line numbers for final message
- item 1:
- content: null
- encrypted_content: encrypted_content: 1252 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- nl -ba log_to_markdown.py
- workdir: /private/tmp
- command:
- call_id: call_l9yKs7DMK9Txuk2J9IL0K6kf
- type: function_call_output
- call_id: call_l9yKs7DMK9Txuk2J9IL0K6kf
- output:
- output:
1 #!/usr/bin/env python3 2 import argparse 3 import json 4 from pathlib import Path 5 from typing import Iterable 6 7 8 def format_scalar(value: object) -> str: 9 if value is None: 10 return "null" 11 if isinstance(value, bool): 12 return "true" if value else "false" 13 if isinstance(value, (int, float)): 14 return str(value) 15 return str(value) 16 17 18 def format_block(text: str, indent: int) -> list[str]: 19 spaces = " " * indent 20 inner = text.splitlines() or [""] 21 lines = [f"{spaces}```"] 22 lines.extend(f"{spaces}{line}" for line in inner) 23 lines.append(f"{spaces}```") 24 return lines 25 26 27 def command_has_multiline(command: Iterable[object]) -> bool: 28 for item in command: 29 if isinstance(item, str) and "\n" in item: 30 return True 31 return False 32 33 34 def format_command_list(command: Iterable[object], indent: int) -> list[str]: 35 spaces = " " * indent 36 lines: list[str] = [] 37 for idx, item in enumerate(command, 1): 38 if isinstance(item, str) and "\n" in item: 39 lines.append(f"{spaces}- arg {idx} (script):") 40 lines.extend(format_block(item, indent + 1)) 41 else: 42 lines.append(f"{spaces}- `{format_scalar(item)}`") 43 return lines 44 45 46 def try_format_embedded_command_json(text: str, indent: int) -> list[str] | None: 47 try: 48 parsed = json.loads(text) 49 except (TypeError, json.JSONDecodeError): 50 return None 51 if not isinstance(parsed, dict): 52 return None 53 command = parsed.get("command") 54 if not isinstance(command, list) or not command_has_multiline(command): 55 return None 56 return format_value(parsed, indent) 57 58 59 def format_value(value: object, indent: int = 0) -> list[str]: 60 spaces = " " * indent 61 if isinstance(value, dict): 62 lines: list[str] = [] 63 for key, val in value.items(): 64 if key == "command" and isinstance(val, list) and command_has_multiline(val): 65 lines.append(f"{spaces}- **{key}**:") 66 lines.extend(format_command_list(val, indent + 1)) 67 elif isinstance(val, (dict, list)): 68 lines.append(f"{spaces}- **{key}**:") 69 lines.extend(format_value(val, indent + 1)) 70 elif isinstance(val, str): 71 if key == "encrypted_content": 72 byte_count = len(val.encode("utf-8")) 73 lines.append(f"{spaces}- **{key}**: encrypted_content: {byte_count} bytes") 74 continue 75 embedded = try_format_embedded_command_json(val, indent + 1) 76 if embedded is not None: 77 lines.append(f"{spaces}- **{key}**:") 78 lines.extend(embedded) 79 elif "\n" in val or len(val) > 80: 80 lines.append(f"{spaces}- **{key}**:") 81 lines.extend(format_block(val, indent + 1)) 82 else: 83 lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") 84 else: 85 lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") 86 return lines 87 if isinstance(value, list): 88 lines = [] 89 for idx, item in enumerate(value, 1): 90 label = f"item {idx}" if isinstance(item, (dict, list)) else None 91 if isinstance(item, (dict, list)): 92 lines.append(f"{spaces}- {label}:") 93 lines.extend(format_value(item, indent + 1)) 94 elif isinstance(item, str) and ("\n" in item or len(item) > 80): 95 lines.append(f"{spaces}- entry {idx}:") 96 lines.extend(format_block(item, indent + 1)) 97 else: 98 lines.append(f"{spaces}- {format_scalar(item)}") 99 return lines 100 if isinstance(value, str) and ("\n" in value or len(value) > 80): 101 return format_block(value, indent) 102 return [f"{spaces}- {format_scalar(value)}"] 103 104 105 def render_markdown(entries: list[dict], source: Path) -> str: 106 if not entries: 107 return f"# Session Log\n\n_No entries found in {source.name}_." 108 109 session_meta = next((e for e in entries if e.get("type") == "session_meta"), None) 110 title = "Session Log" 111 if session_meta: 112 payload = session_meta.get("payload", {}) 113 identifier = payload.get("id") 114 if identifier: 115 title = f"Session Log `{identifier}`" 116 117 lines = [f"# {title}"] 118 119 if session_meta: 120 lines.append("\n## Session Metadata") 121 meta_payload = session_meta.get("payload", {}) 122 meta_lines = format_value({ 123 "timestamp": session_meta.get("timestamp"), 124 "cwd": meta_payload.get("cwd"), 125 "originator": meta_payload.get("originator"), 126 "cli_version": meta_payload.get("cli_version"), 127 "instructions": meta_payload.get("instructions"), 128 }) 129 lines.extend(meta_lines) 130 131 lines.append("\n## Events") 132 for entry in entries: 133 timestamp = entry.get("timestamp", "unknown time") 134 entry_type = entry.get("type", "unknown type") 135 lines.append(f"\n### {timestamp} · {entry_type}") 136 payload = entry.get("payload") 137 if payload is None: 138 lines.append("- _No payload_") 139 continue 140 lines.extend(format_value(payload)) 141 142 return "\n".join(lines) + "\n" 143 144 145 def read_entries(path: Path) -> list[dict]: 146 entries: list[dict] = [] 147 with path.open("r", encoding="utf-8") as handle: 148 for number, line in enumerate(handle, 1): 149 text = line.strip() 150 if not text: 151 continue 152 try: 153 entries.append(json.loads(text)) 154 except json.JSONDecodeError as exc: 155 raise SystemExit(f"Failed to parse JSON on line {number}: {exc}") from exc 156 return entries 157 158 159 def main() -> None: 160 parser = argparse.ArgumentParser(description="Convert Codex JSONL session logs to Markdown") 161 parser.add_argument("path", type=Path, help="Path to the .jsonl file") 162 args = parser.parse_args() 163 164 if not args.path.exists(): 165 raise SystemExit(f"File not found: {args.path}") 166 167 entries = read_entries(args.path) 168 markdown = render_markdown(entries, args.path) 169 print(markdown) 170 171 172 if __name__ == "__main__": 173 main() - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Preparing final summary
- type: agent_message
- message:
Converted encrypted payload rendering into a byte-count summary so the Markdown stays concise: when the key is `encrypted_content`, the formatter now reports `encrypted_content: N bytes` instead of dumping the opaque blob `log_to_markdown.py:59-99`. Re-ran both the synthetic fixture and the rollout log to confirm the new presentation (`python3 log_to_markdown.py /private/tmp/test.jsonl`, `python3 log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl`).
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Preparing final summary
- item 1:
- content: null
- encrypted_content: encrypted_content: 1356 bytes
- type: message
- role: assistant
- content:
- item 1:
- type: output_text
- text:
Converted encrypted payload rendering into a byte-count summary so the Markdown stays concise: when the key is `encrypted_content`, the formatter now reports `encrypted_content: N bytes` instead of dumping the opaque blob `log_to_markdown.py:59-99`. Re-ran both the synthetic fixture and the rollout log to confirm the new presentation (`python3 log_to_markdown.py /private/tmp/test.jsonl`, `python3 log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl`).
- item 1:
- type: message
- role: user
- content:
- item 1:
- type: input_text
- text: Ignore all but the last event_msg about token counts
- item 1:
- type: user_message
- message: Ignore all but the last event_msg about token counts
- kind: plain
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text:
**Planning token_count event filtering** I want to update the rendering logic to skip all token_count event messages except the last one by precomputing the last index of such entries and then filtering them during rendering. This involves modifying the render_markdown function, adjusting the loop to exclude earlier token_count events, and running tests to verify the change. I'll create a clear plan before implementing since this requires moderate code changes.
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text:
**Planning token_count event filtering** I want to update the rendering logic to skip all token_count event messages except the last one by precomputing the last index of such entries and then filtering them during rendering. This involves modifying the render_markdown function, adjusting the loop to exclude earlier token_count events, and running tests to verify the change. I'll create a clear plan before implementing since this requires moderate code changes.
- item 1:
- content: null
- encrypted_content: encrypted_content: 2552 bytes
- type: function_call
- name: update_plan
- arguments:
- explanation:
Need to adjust renderer to keep only the final token_count event and rerun conversions. - plan:
- item 1:
- status: in_progress
- step: Identify approach for retaining only the final token_count event
- item 2:
- status: pending
- step: Implement filtering logic in renderer
- item 3:
- status: pending
- step: Run conversions to verify token_count filtering
- item 1:
- explanation:
- call_id: call_tHq6Weq3UbqRCTOanRRZ85dg
- type: function_call_output
- call_id: call_tHq6Weq3UbqRCTOanRRZ85dg
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Updating plan after first step
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Updating plan after first step
- item 1:
- content: null
- encrypted_content: encrypted_content: 972 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step: Identify approach for retaining only the final token_count event
- item 2:
- status: in_progress
- step: Implement filtering logic in renderer
- item 3:
- status: pending
- step: Run conversions to verify token_count filtering
- item 1:
- plan:
- call_id: call_PRo08AsuPruj1Yki6z3OUbGB
- type: function_call_output
- call_id: call_PRo08AsuPruj1Yki6z3OUbGB
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Updating render_markdown to skip token_count events
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Updating render_markdown to skip token_count events
- item 1:
- content: null
- encrypted_content: encrypted_content: 1740 bytes
- type: function_call
- name: shell
- arguments:
- command:
bash-lc- arg 3 (script):
cat <<'PY' > /private/tmp/log_to_markdown.py #!/usr/bin/env python3 import argparse import json from pathlib import Path from typing import Iterable def format_scalar(value: object) -> str: if value is None: return "null" if isinstance(value, bool): return "true" if value else "false" if isinstance(value, (int, float)): return str(value) return str(value) def format_block(text: str, indent: int) -> list[str]: spaces = " " * indent inner = text.splitlines() or [""] lines = [f"{spaces}```"] lines.extend(f"{spaces}{line}" for line in inner) lines.append(f"{spaces}```") return lines def command_has_multiline(command: Iterable[object]) -> bool: for item in command: if isinstance(item, str) and "\n" in item: return True return False def format_command_list(command: Iterable[object], indent: int) -> list[str]: spaces = " " * indent lines: list[str] = [] for idx, item in enumerate(command, 1): if isinstance(item, str) and "\n" in item: lines.append(f"{spaces}- arg {idx} (script):") lines.extend(format_block(item, indent + 1)) else: lines.append(f"{spaces}- `{format_scalar(item)}`") return lines def try_format_embedded_command_json(text: str, indent: int) -> list[str] | None: try: parsed = json.loads(text) except (TypeError, json.JSONDecodeError): return None if not isinstance(parsed, dict): return None command = parsed.get("command") if not isinstance(command, list) or not command_has_multiline(command): return None return format_value(parsed, indent) def format_value(value: object, indent: int = 0) -> list[str]: spaces = " " * indent if isinstance(value, dict): lines: list[str] = [] for key, val in value.items(): if key == "command" and isinstance(val, list) and command_has_multiline(val): lines.append(f"{spaces}- **{key}**:") lines.extend(format_command_list(val, indent + 1)) elif isinstance(val, (dict, list)): lines.append(f"{spaces}- **{key}**:") lines.extend(format_value(val, indent + 1)) elif isinstance(val, str): if key == "encrypted_content": byte_count = len(val.encode("utf-8")) lines.append(f"{spaces}- **{key}**: encrypted_content: {byte_count} bytes") continue embedded = try_format_embedded_command_json(val, indent + 1) if embedded is not None: lines.append(f"{spaces}- **{key}**:") lines.extend(embedded) elif "\n" in val or len(val) > 80: lines.append(f"{spaces}- **{key}**:") lines.extend(format_block(val, indent + 1)) else: lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") else: lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") return lines if isinstance(value, list): lines = [] for idx, item in enumerate(value, 1): label = f"item {idx}" if isinstance(item, (dict, list)) else None if isinstance(item, (dict, list)): lines.append(f"{spaces}- {label}:") lines.extend(format_value(item, indent + 1)) elif isinstance(item, str) and ("\n" in item or len(item) > 80): lines.append(f"{spaces}- entry {idx}:") lines.extend(format_block(item, indent + 1)) else: lines.append(f"{spaces}- {format_scalar(item)}") return lines if isinstance(value, str) and ("\n" in value or len(value) > 80): return format_block(value, indent) return [f"{spaces}- {format_scalar(value)}"] def render_markdown(entries: list[dict], source: Path) -> str: if not entries: return f"# Session Log\n\n_No entries found in {source.name}_." session_meta = next((e for e in entries if e.get("type") == "session_meta"), None) title = "Session Log" if session_meta: payload = session_meta.get("payload", {}) identifier = payload.get("id") if identifier: title = f"Session Log `{identifier}`" last_token_count_index: int | None = None for idx, entry in enumerate(entries): if entry.get("type") != "event_msg": continue payload = entry.get("payload") if isinstance(payload, dict) and payload.get("type") == "token_count": last_token_count_index = idx lines = [f"# {title}"] if session_meta: lines.append("\n## Session Metadata") meta_payload = session_meta.get("payload", {}) meta_lines = format_value({ "timestamp": session_meta.get("timestamp"), "cwd": meta_payload.get("cwd"), "originator": meta_payload.get("originator"), "cli_version": meta_payload.get("cli_version"), "instructions": meta_payload.get("instructions"), }) lines.extend(meta_lines) lines.append("\n## Events") for idx, entry in enumerate(entries): if idx != last_token_count_index: if entry.get("type") == "event_msg": payload = entry.get("payload") if isinstance(payload, dict) and payload.get("type") == "token_count": continue timestamp = entry.get("timestamp", "unknown time") entry_type = entry.get("type", "unknown type") lines.append(f"\n### {timestamp} · {entry_type}") payload = entry.get("payload") if payload is None: lines.append("- _No payload_") continue lines.extend(format_value(payload)) return "\n".join(lines) + "\n" def read_entries(path: Path) -> list[dict]: entries: list[dict] = [] with path.open("r", encoding="utf-8") as handle: for number, line in enumerate(handle, 1): text = line.strip() if not text: continue try: entries.append(json.loads(text)) except json.JSONDecodeError as exc: raise SystemExit(f"Failed to parse JSON on line {number}: {exc}") from exc return entries def main() -> None: parser = argparse.ArgumentParser(description="Convert Codex JSONL session logs to Markdown") parser.add_argument("path", type=Path, help="Path to the .jsonl file") args = parser.parse_args() if not args.path.exists(): raise SystemExit(f"File not found: {args.path}") entries = read_entries(args.path) markdown = render_markdown(entries, args.path) print(markdown) if __name__ == "__main__": main() PY
- workdir: /private/tmp
- command:
- call_id: call_VR9bGdz6v6kHX5Q68MSrGbAO
- type: function_call_output
- call_id: call_VR9bGdz6v6kHX5Q68MSrGbAO
- output:
- output:
- metadata:
- exit_code: 0
- duration_seconds: 0.0
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Completing plan step 2
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Completing plan step 2
- item 1:
- content: null
- encrypted_content: encrypted_content: 908 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step: Identify approach for retaining only the final token_count event
- item 2:
- status: completed
- step: Implement filtering logic in renderer
- item 3:
- status: in_progress
- step: Run conversions to verify token_count filtering
- item 1:
- plan:
- call_id: call_yh6NuveHiuO0fH8UYGtpvsgi
- type: function_call_output
- call_id: call_yh6NuveHiuO0fH8UYGtpvsgi
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Running tests
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Running tests
- item 1:
- content: null
- encrypted_content: encrypted_content: 888 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- python3 /private/tmp/log_to_markdown.py /private/tmp/test.jsonl
- workdir: /private/tmp
- command:
- call_id: call_O3vucxB8CYG2Y1d90QSXf0Io
- type: function_call_output
- call_id: call_O3vucxB8CYG2Y1d90QSXf0Io
- output:
- output:
# Session Log ## Events ### 2024-01-01T00:00:00Z · function_call - **command**: - bash - -lc - echo 'simple' ### 2024-01-01T00:00:01Z · function_call - **command**: - `bash` - `-lc` - arg 3 (script): ``` cat <<'PY' > script.py print('hi') PY ``` - **note**: demo ### 2024-01-01T00:00:02Z · function_call - **arguments**: - **command**: - `bash` - `-lc` - arg 3 (script): ``` cat <<'PY' > script.py print('hi') PY ``` - **workdir**: . - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Testing with larger input
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Testing with larger input
- item 1:
- content: null
- encrypted_content: encrypted_content: 1036 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- entry 3:
python3 /private/tmp/log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl
- workdir: /private/tmp
- command:
- call_id: call_HXGloPLlLIhy0ct06bRmtnRJ
- type: function_call_output
- call_id: call_HXGloPLlLIhy0ct06bRmtnRJ
- output:
- output:
{"command":["bash","-lc","rg --files -g '*.bin'"],"workdir":".","timeout_ms":120000}# Session Log `01997ce0-c98e-70b0-9302-eca29f1c454f` ## Session Metadata - **timestamp**: 2025-09-24T17:58:50.523Z - **cwd**: /Users/simon/.wasmer/cache/compiled - **originator**: codex_cli_rs - **cli_version**: 0.39.0 - **instructions**: null ## Events ### 2025-09-24T17:58:50.523Z · session_meta - **id**: 01997ce0-c98e-70b0-9302-eca29f1c454f - **timestamp**: 2025-09-24T17:58:50.510Z - **cwd**: /Users/simon/.wasmer/cache/compiled - **originator**: codex_cli_rs - **cli_version**: 0.39.0 - **instructions**: null ### 2025-09-24T17:58:50.523Z · response_item - **type**: message - **role**: user - **content**: - item 1: - **type**: input_text - **text**: ``` <environment_context> <cwd>/Users/simon/.wasmer/cache/compiled</cwd> <approval_policy>never</approval_policy> <sandbox_mode>danger-full-access</sandbox_mode> <network_access>enabled</network_access> <shell>zsh</shell> </environment_context> ``` ### 2025-09-24T17:58:59.119Z · response_item - **type**: message - **role**: user - **content**: - item 1: - **type**: input_text - **text**: Find all the .bin files in here and tell me about them ### 2025-09-24T17:58:59.119Z · event_msg - **type**: user_message - **message**: Find all the .bin files in here and tell me about them - **kind**: plain ### 2025-09-24T17:58:59.120Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T17:59:04.021Z · event_msg - **type**: agent_reasoning - **text**: **Choosing method to find .bin files** ### 2025-09-24T17:59:04.644Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Choosing method to find .bin files** - **content**: null - **encrypted_content**: encrypted_content: 2104 bytes ### 2025-09-24T17:59:04.644Z · response_item - **type**: function_call - **name**: shell - **arguments**:
{"output":"engine-cranelift-v8/5425DA1C916E6418.bin\nllvm-opta-v11/6FF585E693146EFFF128C022CED66D64BFA81DF6763F79DD4AF8600608BA4D34.bin\ncranelift-v11/F86F3D200655529C09022751385000585777BD5414CE9DA9C3956A91D9BD05B4.bin\n","metadata":{"exit_code":0,"duration_seconds":0.0}}- **call_id**: call_UlQ2PjQyrdV6T3gaGTUaE6gh ### 2025-09-24T17:59:04.644Z · response_item - **type**: function_call_output - **call_id**: call_UlQ2PjQyrdV6T3gaGTUaE6gh - **output**:
{"command":["bash","-lc","for f in $(rg --files -g '*.bin'); do stat -f '%N %z %Sm' "$f"; done"],"workdir":".","timeout_ms":120000}### 2025-09-24T17:59:04.644Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T17:59:07.221Z · event_msg - **type**: agent_reasoning - **text**: **Gathering file details** ### 2025-09-24T17:59:08.193Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Gathering file details** - **content**: null - **encrypted_content**: encrypted_content: 1380 bytes ### 2025-09-24T17:59:08.193Z · response_item - **type**: function_call - **name**: shell - **arguments**:
{"output":"engine-cranelift-v8/5425DA1C916E6418.bin 110331424 Sep 24 09:11:10 2025\nllvm-opta-v11/6FF585E693146EFFF128C022CED66D64BFA81DF6763F79DD4AF8600608BA4D34.bin 89125672 Sep 24 10:56:43 2025\ncranelift-v11/F86F3D200655529C09022751385000585777BD5414CE9DA9C3956A91D9BD05B4.bin 110332048 Sep 24 10:43:16 2025\n","metadata":{"exit_code":0,"duration_seconds":0.0}}- **call_id**: call_CuD3L71aj6vgwVtG0DUXviAh ### 2025-09-24T17:59:08.193Z · response_item - **type**: function_call_output - **call_id**: call_CuD3L71aj6vgwVtG0DUXviAh - **output**:
{"command":["bash","-lc","xxd -l 64 cranelift-v11/F86F3D200655529C09022751385000585777BD5414CE9DA9C3956A91D9BD05B4.bin"],"workdir":".","timeout_ms":120000}### 2025-09-24T17:59:08.193Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never [... omitted 189 of 445 lines ...] ### 2025-09-24T18:00:30.693Z · event_msg - **type**: agent_reasoning - **text**: **Considering next step** ### 2025-09-24T18:00:31.396Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Considering next step** - **content**: null - **encrypted_content**: encrypted_content: 888 bytes ### 2025-09-24T18:00:31.396Z · response_item - **type**: function_call - **name**: shell - **arguments**:
{"output":"00000000: 7761 736d 6572 2d75 6e69 7665 7273 616c wasmer-universal\n00000010: 5741 534d 4552 0000 0b00 0000 7088 9306 WASMER......p...\n00000020: fd7b bfa9 fd03 0091 062c 45f9 c100 00b9 .{.......,E.....\n00000030: e303 01aa 07b4 48f9 0400 8052 8510 8052 ......H....R...R\n","metadata":{"exit_code":0,"duration_seconds":0.0}}- **call_id**: call_Jy9UhSBd5hUxYeB4HM8RFGtD ### 2025-09-24T18:00:31.396Z · response_item - **type**: function_call_output - **call_id**: call_Jy9UhSBd5hUxYeB4HM8RFGtD - **output**:
{"command":["bash","-lc","strings -n 8 engine-cranelift-v8/5425DA1C916E6418.bin | head"],"workdir":".","timeout_ms":120000}### 2025-09-24T18:00:31.396Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T18:00:41.844Z · event_msg - **type**: agent_reasoning - **text**: **Identifying Wasmer universal artifact format** ### 2025-09-24T18:00:43.590Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Identifying Wasmer universal artifact format** - **content**: null - **encrypted_content**: encrypted_content: 1316 bytes ### 2025-09-24T18:00:43.590Z · response_item - **type**: function_call - **name**: shell - **arguments**:
{"output":"wasmer-universalWASMER\nTGIe8HIf8\n\fIl8i!\fJI\nKlKl8mKm8\nKjKj8kKk8_\nKiKi8hKh8?\nK(Kh8)Ki8\nK&Kf8'Kg8\nK%Ke8$Kd8\nIyxOK.x'\n","metadata":{"exit_code":0,"duration_seconds":1.1}}- **call_id**: call_fAHPmcDCay3gZkECi0CBDWm3 ### 2025-09-24T18:00:43.590Z · response_item - **type**: function_call_output - **call_id**: call_fAHPmcDCay3gZkECi0CBDWm3 - **output**:### 2025-09-24T18:00:43.590Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T18:00:51.511Z · event_msg - **type**: agent_reasoning - **text**: **Analyzing Wasmer universal artifact format** ### 2025-09-24T18:00:54.001Z · event_msg - **type**: agent_message - **message**:*.binshare the same header: the first 16 bytes readwasmer-universal, followed by the markerWASMERand some little-endian integers (e.g.0x00000800on the v8 artifact,0x00000b00on the v11 artifacts) that match Wasmer’s “universal” cache format versioning. So these aren’t ELF/Mach-O/etc.; they’re Wasmer’s proprietary cache blobs.- The payload past the header is architecture-specific machine code plus serialized metadata that Wasmer uses to skip recompiling a WebAssembly module. A quick string scan (
strings -n 8 … | head) only turns up short alignment filler likeKjKj8kKk8_, which is typical of raw code sections—no embedded symbols or human-readable data appear. - You’d need Wasmer’s internals (or the original
.wasm) to interpret anything more meaningful; to the naked eye they’re opaque machine code caches tied to the engine that generated them. Deleting them just forces a recompilation when that module runs again.
### 2025-09-24T18:00:54.017Z · event_msg - **type**: token_count - **info**: - **total_token_usage**: - **input_tokens**: 33050 - **cached_input_tokens**: 26112 - **output_tokens**: 2232 - **reasoning_output_tokens**: 1216 - **total_tokens**: 35282 - **last_token_usage**: - **input_tokens**: 4697 - **cached_input_tokens**: 4096 - **output_tokens**: 815 - **reasoning_output_tokens**: 576 - **total_tokens**: 5512 - **model_context_window**: 272000 ### 2025-09-24T18:00:54.017Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Analyzing Wasmer universal artifact format** - **content**: null - **encrypted_content**: encrypted_content: 4216 bytes ### 2025-09-24T18:00:54.017Z · response_item - **type**: message - **role**: assistant - **content**: - item 1: - **type**: output_text - **text**: ``` - `*.bin` share the same header: the first 16 bytes read `wasmer-universal`, followed by the marker `WASMER` and some little-endian integers (e.g. `0x00000800` on the v8 artifact, `0x00000b00` on the v11 artifacts) that match Wasmer’s “universal” cache format versioning. So these aren’t ELF/Mach-O/etc.; they’re Wasmer’s proprietary cache blobs. - The payload past the header is architecture-specific machine code plus serialized metadata that Wasmer uses to skip recompiling a WebAssembly module. A quick string scan (`strings -n 8 … | head`) only turns up short alignment filler like `KjKj8kKk8_`, which is typical of raw code sections—no embedded symbols or human-readable data appear. - You’d need Wasmer’s internals (or the original `.wasm`) to interpret anything more meaningful; to the naked eye they’re opaque machine code caches tied to the engine that generated them. Deleting them just forces a recompilation when that module runs again. ``` - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Updating final step plan
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Updating final step plan
- item 1:
- content: null
- encrypted_content: encrypted_content: 1100 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step: Identify approach for retaining only the final token_count event
- item 2:
- status: completed
- step: Implement filtering logic in renderer
- item 3:
- status: completed
- step: Run conversions to verify token_count filtering
- item 1:
- plan:
- call_id: call_geYN67lOtUzaOoSDq7aHmyzD
- type: function_call_output
- call_id: call_geYN67lOtUzaOoSDq7aHmyzD
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text:
**Preparing final summary and next steps** I'll summarize the key code changes like the new last token count logic and skip feature, referencing the specific line in `log_to_markdown.py`. I'll also mention the commands I ran to verify these updates and suggest natural next steps for the user.
- type: agent_message
- message:
Adjusted the renderer to keep only the most recent token-count event so the Markdown stays focused: before emitting events it now records the index of the last `event_msg` whose payload type is `token_count`, then skips earlier token-count entries during the render pass `log_to_markdown.py:59`. Re-ran the converter on both the small fixture and the full rollout log to confirm that only the final token-count block appears (`python3 log_to_markdown.py /private/tmp/test.jsonl`, `python3 log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl`).
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text:
**Preparing final summary and next steps** I'll summarize the key code changes like the new last token count logic and skip feature, referencing the specific line in `log_to_markdown.py`. I'll also mention the commands I ran to verify these updates and suggest natural next steps for the user.
- item 1:
- content: null
- encrypted_content: encrypted_content: 1676 bytes
- type: message
- role: assistant
- content:
- item 1:
- type: output_text
- text:
Adjusted the renderer to keep only the most recent token-count event so the Markdown stays focused: before emitting events it now records the index of the last `event_msg` whose payload type is `token_count`, then skips earlier token-count entries during the render pass `log_to_markdown.py:59`. Re-ran the converter on both the small fixture and the full rollout log to confirm that only the final token-count block appears (`python3 log_to_markdown.py /private/tmp/test.jsonl`, `python3 log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl`).
- item 1:
- type: message
- role: user
- content:
- item 1:
- type: input_text
- text:
JSON pretty-print response_item arguments JSON, except in cases where you have done the special treatment for the long strngs already. Also apply that special newline treatment to response_item function_call_output output (both pretty-printing JSON and the thing with the long string speacial treatment)
- item 1:
- type: user_message
- message:
JSON pretty-print response_item arguments JSON, except in cases where you have done the special treatment for the long strngs already. Also apply that special newline treatment to response_item function_call_output output (both pretty-printing JSON and the thing with the long string speacial treatment) - kind: plain
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Enhancing JSON pretty-printing logic
- type: agent_reasoning
- text:
**Refining JSON parsing heuristics for specific keys** I’m sorting out when to parse strings as JSON for the keys “arguments” and “output,” carefully making sure to only parse valid JSON and not misinterpret plain text. I’m checking that embedded commands are handled first so special cases don’t get overridden, and ensuring parsed JSON outputs get nicely formatted as bullet lists with proper indentation and inline code blocks for multiline strings. This approach balances pretty-printing JSON structure while still applying special newline formatting where needed, all while avoiding double formatting or parsing non-JSON strings.
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Enhancing JSON pretty-printing logic
- item 2:
- type: summary_text
- text:
**Refining JSON parsing heuristics for specific keys** I’m sorting out when to parse strings as JSON for the keys “arguments” and “output,” carefully making sure to only parse valid JSON and not misinterpret plain text. I’m checking that embedded commands are handled first so special cases don’t get overridden, and ensuring parsed JSON outputs get nicely formatted as bullet lists with proper indentation and inline code blocks for multiline strings. This approach balances pretty-printing JSON structure while still applying special newline formatting where needed, all while avoiding double formatting or parsing non-JSON strings.
- item 1:
- content: null
- encrypted_content: encrypted_content: 34956 bytes
- type: function_call
- name: shell
- arguments:
- command:
bash-lc- arg 3 (script):
cat <<'PY' > /private/tmp/log_to_markdown.py #!/usr/bin/env python3 import argparse import json from pathlib import Path from typing import Iterable def format_scalar(value: object) -> str: if value is None: return "null" if isinstance(value, bool): return "true" if value else "false" if isinstance(value, (int, float)): return str(value) return str(value) def format_block(text: str, indent: int) -> list[str]: spaces = " " * indent inner = text.splitlines() or [""] lines = [f"{spaces}```"] lines.extend(f"{spaces}{line}" for line in inner) lines.append(f"{spaces}```") return lines def command_has_multiline(command: Iterable[object]) -> bool: for item in command: if isinstance(item, str) and "\n" in item: return True return False def format_command_list(command: Iterable[object], indent: int) -> list[str]: spaces = " " * indent lines: list[str] = [] for idx, item in enumerate(command, 1): if isinstance(item, str) and "\n" in item: lines.append(f"{spaces}- arg {idx} (script):") lines.extend(format_block(item, indent + 1)) else: lines.append(f"{spaces}- `{format_scalar(item)}`") return lines def try_format_embedded_command_json(text: str, indent: int) -> list[str] | None: try: parsed = json.loads(text) except (TypeError, json.JSONDecodeError): return None if not isinstance(parsed, dict): return None command = parsed.get("command") if not isinstance(command, list) or not command_has_multiline(command): return None return format_value(parsed, indent) def try_parse_structured_json(text: str) -> object | None: try: parsed = json.loads(text) except (TypeError, json.JSONDecodeError): return None if isinstance(parsed, (dict, list)): return parsed return None def format_value(value: object, indent: int = 0) -> list[str]: spaces = " " * indent if isinstance(value, dict): lines: list[str] = [] for key, val in value.items(): if key == "command" and isinstance(val, list) and command_has_multiline(val): lines.append(f"{spaces}- **{key}**:") lines.extend(format_command_list(val, indent + 1)) elif isinstance(val, (dict, list)): lines.append(f"{spaces}- **{key}**:") lines.extend(format_value(val, indent + 1)) elif isinstance(val, str): if key == "encrypted_content": byte_count = len(val.encode("utf-8")) lines.append(f"{spaces}- **{key}**: encrypted_content: {byte_count} bytes") continue embedded = try_format_embedded_command_json(val, indent + 1) if embedded is not None: lines.append(f"{spaces}- **{key}**:") lines.extend(embedded) continue if key in {"arguments", "output"}: structured = try_parse_structured_json(val) if structured is not None: lines.append(f"{spaces}- **{key}**:") lines.extend(format_value(structured, indent + 1)) continue if "\n" in val or len(val) > 80: lines.append(f"{spaces}- **{key}**:") lines.extend(format_block(val, indent + 1)) else: lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") else: lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") return lines if isinstance(value, list): lines = [] for idx, item in enumerate(value, 1): label = f"item {idx}" if isinstance(item, (dict, list)) else None if isinstance(item, (dict, list)): lines.append(f"{spaces}- {label}:") lines.extend(format_value(item, indent + 1)) elif isinstance(item, str) and ("\n" in item or len(item) > 80): lines.append(f"{spaces}- entry {idx}:") lines.extend(format_block(item, indent + 1)) else: lines.append(f"{spaces}- {format_scalar(item)}") return lines if isinstance(value, str) and ("\n" in value or len(value) > 80): return format_block(value, indent) return [f"{spaces}- {format_scalar(value)}"] def render_markdown(entries: list[dict], source: Path) -> str: if not entries: return f"# Session Log\n\n_No entries found in {source.name}_." session_meta = next((e for e in entries if e.get("type") == "session_meta"), None) title = "Session Log" if session_meta: payload = session_meta.get("payload", {}) identifier = payload.get("id") if identifier: title = f"Session Log `{identifier}`" last_token_count_index: int | None = None for idx, entry in enumerate(entries): if entry.get("type") != "event_msg": continue payload = entry.get("payload") if isinstance(payload, dict) and payload.get("type") == "token_count": last_token_count_index = idx lines = [f"# {title}"] if session_meta: lines.append("\n## Session Metadata") meta_payload = session_meta.get("payload", {}) meta_lines = format_value({ "timestamp": session_meta.get("timestamp"), "cwd": meta_payload.get("cwd"), "originator": meta_payload.get("originator"), "cli_version": meta_payload.get("cli_version"), "instructions": meta_payload.get("instructions"), }) lines.extend(meta_lines) lines.append("\n## Events") for idx, entry in enumerate(entries): if idx != last_token_count_index: if entry.get("type") == "event_msg": payload = entry.get("payload") if isinstance(payload, dict) and payload.get("type") == "token_count": continue timestamp = entry.get("timestamp", "unknown time") entry_type = entry.get("type", "unknown type") lines.append(f"\n### {timestamp} · {entry_type}") payload = entry.get("payload") if payload is None: lines.append("- _No payload_") continue lines.extend(format_value(payload)) return "\n".join(lines) + "\n" def read_entries(path: Path) -> list[dict]: entries: list[dict] = [] with path.open("r", encoding="utf-8") as handle: for number, line in enumerate(handle, 1): text = line.strip() if not text: continue try: entries.append(json.loads(text)) except json.JSONDecodeError as exc: raise SystemExit(f"Failed to parse JSON on line {number}: {exc}") from exc return entries def main() -> None: parser = argparse.ArgumentParser(description="Convert Codex JSONL session logs to Markdown") parser.add_argument("path", type=Path, help="Path to the .jsonl file") args = parser.parse_args() if not args.path.exists(): raise SystemExit(f"File not found: {args.path}") entries = read_entries(args.path) markdown = render_markdown(entries, args.path) print(markdown) if __name__ == "__main__": main() PY
- workdir: /private/tmp
- command:
- call_id: call_PohG8EMnK19nXN1P87pj2keP
- type: function_call_output
- call_id: call_PohG8EMnK19nXN1P87pj2keP
- output:
- output:
- metadata:
- exit_code: 0
- duration_seconds: 0.0
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Updating plan status
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Updating plan status
- item 1:
- content: null
- encrypted_content: encrypted_content: 908 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step: Identify approach for retaining only the final token_count event
- item 2:
- status: completed
- step: Implement filtering logic in renderer
- item 3:
- status: in_progress
- step: Run conversions to verify token_count filtering
- item 1:
- plan:
- call_id: call_xx6JOULli4RDbUZUBrw1YsPz
- type: function_call_output
- call_id: call_xx6JOULli4RDbUZUBrw1YsPz
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Revising plan for new requirements
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Revising plan for new requirements
- item 1:
- content: null
- encrypted_content: encrypted_content: 3596 bytes
- type: function_call
- name: shell
- arguments:
- command:
bash-lc- arg 3 (script):
cat <<'EOF' > /private/tmp/test.jsonl {"timestamp":"2024-01-01T00:00:00Z","type":"response_item","payload":{"type":"function_call","arguments":"{\"command\":[\"bash\",\"-lc\",\"echo hi\"],\"workdir\":\".\"}"}} {"timestamp":"2024-01-01T00:00:01Z","type":"response_item","payload":{"type":"function_call","arguments":"{\"command\":[\"bash\",\"-lc\",\"cat <<'PY' > script.py\\nprint('hi')\\nPY\\n\"],\"workdir\":\".\"}"}} {"timestamp":"2024-01-01T00:00:02Z","type":"response_item","payload":{"type":"function_call_output","output":"{\"output\":\"line1\\nline2\\n\",\"metadata\":{\"exit_code\":0}}"}} EOF
- workdir: /private/tmp
- command:
- call_id: call_T9hwIfRrLtvSFs1pFwdJBcWN
- type: function_call_output
- call_id: call_T9hwIfRrLtvSFs1pFwdJBcWN
- output:
- output:
- metadata:
- exit_code: 0
- duration_seconds: 0.0
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Executing script
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Executing script
- item 1:
- content: null
- encrypted_content: encrypted_content: 908 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- python3 /private/tmp/log_to_markdown.py /private/tmp/test.jsonl
- workdir: /private/tmp
- command:
- call_id: call_xi7rs17miniv3BJ9rOL5qB98
- type: function_call_output
- call_id: call_xi7rs17miniv3BJ9rOL5qB98
- output:
- output:
# Session Log ## Events ### 2024-01-01T00:00:00Z · response_item - **type**: function_call - **arguments**: - **command**: - bash - -lc - echo hi - **workdir**: . ### 2024-01-01T00:00:01Z · response_item - **type**: function_call - **arguments**: - **command**: - `bash` - `-lc` - arg 3 (script): ``` cat <<'PY' > script.py print('hi') PY ``` - **workdir**: . ### 2024-01-01T00:00:02Z · response_item - **type**: function_call_output - **output**: - **output**: ``` line1 line2 ``` - **metadata**: - **exit_code**: 0 - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Inspecting list item formatting
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Inspecting list item formatting
- item 1:
- content: null
- encrypted_content: encrypted_content: 1380 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- entry 3:
python3 /private/tmp/log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl
- workdir: /private/tmp
- command:
- call_id: call_SpJeK0QcqwBgy0QmBInf95kn
- type: function_call_output
- call_id: call_SpJeK0QcqwBgy0QmBInf95kn
- output:
- output:
# Session Log `01997ce0-c98e-70b0-9302-eca29f1c454f` ## Session Metadata - **timestamp**: 2025-09-24T17:58:50.523Z - **cwd**: /Users/simon/.wasmer/cache/compiled - **originator**: codex_cli_rs - **cli_version**: 0.39.0 - **instructions**: null ## Events ### 2025-09-24T17:58:50.523Z · session_meta - **id**: 01997ce0-c98e-70b0-9302-eca29f1c454f - **timestamp**: 2025-09-24T17:58:50.510Z - **cwd**: /Users/simon/.wasmer/cache/compiled - **originator**: codex_cli_rs - **cli_version**: 0.39.0 - **instructions**: null ### 2025-09-24T17:58:50.523Z · response_item - **type**: message - **role**: user - **content**: - item 1: - **type**: input_text - **text**: ``` <environment_context> <cwd>/Users/simon/.wasmer/cache/compiled</cwd> <approval_policy>never</approval_policy> <sandbox_mode>danger-full-access</sandbox_mode> <network_access>enabled</network_access> <shell>zsh</shell> </environment_context> ``` ### 2025-09-24T17:58:59.119Z · response_item - **type**: message - **role**: user - **content**: - item 1: - **type**: input_text - **text**: Find all the .bin files in here and tell me about them ### 2025-09-24T17:58:59.119Z · event_msg - **type**: user_message - **message**: Find all the .bin files in here and tell me about them - **kind**: plain ### 2025-09-24T17:58:59.120Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T17:59:04.021Z · event_msg - **type**: agent_reasoning - **text**: **Choosing method to find .bin files** ### 2025-09-24T17:59:04.644Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Choosing method to find .bin files** - **content**: null - **encrypted_content**: encrypted_content: 2104 bytes ### 2025-09-24T17:59:04.644Z · response_item - **type**: function_call - **name**: shell - **arguments**: - **command**: - bash - -lc - rg --files -g '*.bin' - **workdir**: . - **timeout_ms**: 120000 - **call_id**: call_UlQ2PjQyrdV6T3gaGTUaE6gh ### 2025-09-24T17:59:04.644Z · response_item - **type**: function_call_output - **call_id**: call_UlQ2PjQyrdV6T3gaGTUaE6gh - **output**: - **output**: ``` engine-cranelift-v8/5425DA1C916E6418.bin llvm-opta-v11/6FF585E693146EFFF128C022CED66D64BFA81DF6763F79DD4AF8600608BA4D34.bin cranelift-v11/F86F3D200655529C09022751385000585777BD5414CE9DA9C3956A91D9BD05B4.bin ``` - **metadata**: - **exit_code**: 0 - **duration_seconds**: 0.0 ### 2025-09-24T17:59:04.644Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T17:59:07.221Z · event_msg - **type**: agent_reasoning - **text**: **Gathering file details** ### 2025-09-24T17:59:08.193Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Gathering file details** - **content**: null - **encrypted_content**: encrypted_content: 1380 bytes ### 2025-09-24T17:59:08.193Z · response_item - **type**: function_call - **name**: shell - **arguments**: - **command**: - bash - -lc - for f in $(rg --files -g '*.bin'); do stat -f '%N %z %Sm' "$f"; done - **workdir**: . - **timeout_ms**: 120000 - **call_id**: call_CuD3L71aj6vgwVtG0DUXviAh [... omitted 273 of 529 lines ...] - **output**: - **output**: ``` 00000000: 7761 736d 6572 2d75 6e69 7665 7273 616c wasmer-universal 00000010: 5741 534d 4552 0000 0b00 0000 7088 9306 WASMER......p... 00000020: fd7b bfa9 fd03 0091 062c 45f9 c100 00b9 .{.......,E..... 00000030: e303 01aa 07b4 48f9 0400 8052 8510 8052 ......H....R...R ``` - **metadata**: - **exit_code**: 0 - **duration_seconds**: 0.0 ### 2025-09-24T18:00:31.396Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T18:00:41.844Z · event_msg - **type**: agent_reasoning - **text**: **Identifying Wasmer universal artifact format** ### 2025-09-24T18:00:43.590Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Identifying Wasmer universal artifact format** - **content**: null - **encrypted_content**: encrypted_content: 1316 bytes ### 2025-09-24T18:00:43.590Z · response_item - **type**: function_call - **name**: shell - **arguments**: - **command**: - bash - -lc - strings -n 8 engine-cranelift-v8/5425DA1C916E6418.bin | head - **workdir**: . - **timeout_ms**: 120000 - **call_id**: call_fAHPmcDCay3gZkECi0CBDWm3 ### 2025-09-24T18:00:43.590Z · response_item - **type**: function_call_output - **call_id**: call_fAHPmcDCay3gZkECi0CBDWm3 - **output**: - **output**: ``` wasmer-universalWASMER TGIe8HIf8 Il8i! JI KlKl8mKm8 KjKj8kKk8_ KiKi8hKh8? K(Kh8)Ki8 K&Kf8'Kg8 K%Ke8$Kd8 IyxOK.x' ``` - **metadata**: - **exit_code**: 0 - **duration_seconds**: 1.1 ### 2025-09-24T18:00:43.590Z · turn_context - **cwd**: /Users/simon/.wasmer/cache/compiled - **approval_policy**: never - **sandbox_policy**: - **mode**: danger-full-access - **model**: gpt-5-codex - **summary**: auto ### 2025-09-24T18:00:51.511Z · event_msg - **type**: agent_reasoning - **text**: **Analyzing Wasmer universal artifact format** ### 2025-09-24T18:00:54.001Z · event_msg - **type**: agent_message - **message**:*.binshare the same header: the first 16 bytes readwasmer-universal, followed by the markerWASMERand some little-endian integers (e.g.0x00000800on the v8 artifact,0x00000b00on the v11 artifacts) that match Wasmer’s “universal” cache format versioning. So these aren’t ELF/Mach-O/etc.; they’re Wasmer’s proprietary cache blobs.- The payload past the header is architecture-specific machine code plus serialized metadata that Wasmer uses to skip recompiling a WebAssembly module. A quick string scan (
strings -n 8 … | head) only turns up short alignment filler likeKjKj8kKk8_, which is typical of raw code sections—no embedded symbols or human-readable data appear. - You’d need Wasmer’s internals (or the original
.wasm) to interpret anything more meaningful; to the naked eye they’re opaque machine code caches tied to the engine that generated them. Deleting them just forces a recompilation when that module runs again.
### 2025-09-24T18:00:54.017Z · event_msg - **type**: token_count - **info**: - **total_token_usage**: - **input_tokens**: 33050 - **cached_input_tokens**: 26112 - **output_tokens**: 2232 - **reasoning_output_tokens**: 1216 - **total_tokens**: 35282 - **last_token_usage**: - **input_tokens**: 4697 - **cached_input_tokens**: 4096 - **output_tokens**: 815 - **reasoning_output_tokens**: 576 - **total_tokens**: 5512 - **model_context_window**: 272000 ### 2025-09-24T18:00:54.017Z · response_item - **type**: reasoning - **summary**: - item 1: - **type**: summary_text - **text**: **Analyzing Wasmer universal artifact format** - **content**: null - **encrypted_content**: encrypted_content: 4216 bytes ### 2025-09-24T18:00:54.017Z · response_item - **type**: message - **role**: assistant - **content**: - item 1: - **type**: output_text - **text**: ``` - `*.bin` share the same header: the first 16 bytes read `wasmer-universal`, followed by the marker `WASMER` and some little-endian integers (e.g. `0x00000800` on the v8 artifact, `0x00000b00` on the v11 artifacts) that match Wasmer’s “universal” cache format versioning. So these aren’t ELF/Mach-O/etc.; they’re Wasmer’s proprietary cache blobs. - The payload past the header is architecture-specific machine code plus serialized metadata that Wasmer uses to skip recompiling a WebAssembly module. A quick string scan (`strings -n 8 … | head`) only turns up short alignment filler like `KjKj8kKk8_`, which is typical of raw code sections—no embedded symbols or human-readable data appear. - You’d need Wasmer’s internals (or the original `.wasm`) to interpret anything more meaningful; to the naked eye they’re opaque machine code caches tied to the engine that generated them. Deleting them just forces a recompilation when that module runs again. ``` - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Updating plan step statuses
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Updating plan step statuses
- item 1:
- content: null
- encrypted_content: encrypted_content: 1060 bytes
- type: function_call
- name: update_plan
- arguments:
- plan:
- item 1:
- status: completed
- step: Identify approach for retaining only the final token_count event
- item 2:
- status: completed
- step: Implement filtering logic in renderer
- item 3:
- status: completed
- step: Run conversions to verify token_count filtering
- item 1:
- plan:
- call_id: call_vnnh4Bzp6zv9NTpGc9iPe8YX
- type: function_call_output
- call_id: call_vnnh4Bzp6zv9NTpGc9iPe8YX
- output: Plan updated
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text: Recognizing missing detail in plan
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text: Recognizing missing detail in plan
- item 1:
- content: null
- encrypted_content: encrypted_content: 1016 bytes
- type: function_call
- name: shell
- arguments:
- command:
- bash
- -lc
- nl -ba log_to_markdown.py
- workdir: /private/tmp
- command:
- call_id: call_hDmtwyqoy3ze1x7gSWijZhSk
- type: function_call_output
- call_id: call_hDmtwyqoy3ze1x7gSWijZhSk
- output:
- output:
1 #!/usr/bin/env python3 2 import argparse 3 import json 4 from pathlib import Path 5 from typing import Iterable 6 7 8 def format_scalar(value: object) -> str: 9 if value is None: 10 return "null" 11 if isinstance(value, bool): 12 return "true" if value else "false" 13 if isinstance(value, (int, float)): 14 return str(value) 15 return str(value) 16 17 18 def format_block(text: str, indent: int) -> list[str]: 19 spaces = " " * indent 20 inner = text.splitlines() or [""] 21 lines = [f"{spaces}```"] 22 lines.extend(f"{spaces}{line}" for line in inner) 23 lines.append(f"{spaces}```") 24 return lines 25 26 27 def command_has_multiline(command: Iterable[object]) -> bool: 28 for item in command: 29 if isinstance(item, str) and "\n" in item: 30 return True 31 return False 32 33 34 def format_command_list(command: Iterable[object], indent: int) -> list[str]: 35 spaces = " " * indent 36 lines: list[str] = [] 37 for idx, item in enumerate(command, 1): 38 if isinstance(item, str) and "\n" in item: 39 lines.append(f"{spaces}- arg {idx} (script):") 40 lines.extend(format_block(item, indent + 1)) 41 else: 42 lines.append(f"{spaces}- `{format_scalar(item)}`") 43 return lines 44 45 46 def try_format_embedded_command_json(text: str, indent: int) -> list[str] | None: 47 try: 48 parsed = json.loads(text) 49 except (TypeError, json.JSONDecodeError): 50 return None 51 if not isinstance(parsed, dict): 52 return None 53 command = parsed.get("command") 54 if not isinstance(command, list) or not command_has_multiline(command): 55 return None 56 return format_value(parsed, indent) 57 58 59 def try_parse_structured_json(text: str) -> object | None: 60 try: 61 parsed = json.loads(text) 62 except (TypeError, json.JSONDecodeError): 63 return None 64 if isinstance(parsed, (dict, list)): 65 return parsed 66 return None 67 68 69 def format_value(value: object, indent: int = 0) -> list[str]: 70 spaces = " " * indent 71 if isinstance(value, dict): 72 lines: list[str] = [] 73 for key, val in value.items(): 74 if key == "command" and isinstance(val, list) and command_has_multiline(val): 75 lines.append(f"{spaces}- **{key}**:") 76 lines.extend(format_command_list(val, indent + 1)) 77 elif isinstance(val, (dict, list)): 78 lines.append(f"{spaces}- **{key}**:") 79 lines.extend(format_value(val, indent + 1)) 80 elif isinstance(val, str): 81 if key == "encrypted_content": 82 byte_count = len(val.encode("utf-8")) 83 lines.append(f"{spaces}- **{key}**: encrypted_content: {byte_count} bytes") 84 continue 85 embedded = try_format_embedded_command_json(val, indent + 1) 86 if embedded is not None: 87 lines.append(f"{spaces}- **{key}**:") 88 lines.extend(embedded) 89 continue 90 if key in {"arguments", "output"}: 91 structured = try_parse_structured_json(val) 92 if structured is not None: 93 lines.append(f"{spaces}- **{key}**:") 94 lines.extend(format_value(structured, indent + 1)) 95 continue 96 if "\n" in val or len(val) > 80: 97 lines.append(f"{spaces}- **{key}**:") 98 lines.extend(format_block(val, indent + 1)) 99 else: 100 lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") 101 else: 102 lines.append(f"{spaces}- **{key}**: {format_scalar(val)}") 103 return lines 104 if isinstance(value, list): 105 lines = [] 106 for idx, item in enumerate(value, 1): 107 label = f"item {idx}" if isinstance(item, (dict, list)) else None 108 if isinstance(item, (dict, list)): 109 lines.append(f"{spaces}- {label}:") 110 lines.extend(format_value(item, indent + 1)) 111 elif isinstance(item, str) and ("\n" in item or len(item) > 80): 112 lines.append(f"{spaces}- entry {idx}:") 113 lines.extend(format_block(item, indent + 1)) 114 else: 115 lines.append(f"{spaces}- {format_scalar(item)}") 116 return lines 117 if isinstance(value, str) and ("\n" in value or len(value) > 80): 118 return format_block(value, indent) 119 return [f"{spaces}- {format_scalar(value)}"] 120 121 122 def render_markdown(entries: list[dict], source: Path) -> str: 123 if not entries: 124 return f"# Session Log\n\n_No entries found in {source.name}_." 125 126 session_meta = next((e for e in entries if e.get("type") == "session_meta"), None) 127 title = "Session Log" 128 if session_meta: 129 payload = session_meta.get("payload", {}) 130 identifier = payload.get("id") 131 if identifier: 132 title = f"Session Log `{identifier}`" 133 134 last_token_count_index: int | None = None 135 for idx, entry in enumerate(entries): 136 if entry.get("type") != "event_msg": 137 continue 138 payload = entry.get("payload") 139 if isinstance(payload, dict) and payload.get("type") == "token_count": 140 last_token_count_index = idx 141 142 lines = [f"# {title}"] 143 144 if session_meta: 145 lines.append("\n## Session Metadata") 146 meta_payload = session_meta.get("payload", {}) 147 meta_lines = format_value({ 148 "timestamp": session_meta.get("timestamp"), 149 "cwd": meta_payload.get("cwd"), 150 "originator": meta_payload.get("originator"), 151 "cli_version": meta_payload.get("cli_version"), 152 "instructions": meta_payload.get("instructions"), 153 }) 154 lines.extend(meta_lines) 155 156 lines.append("\n## Events") 157 for idx, entry in enumerate(entries): 158 if idx != last_token_count_index: 159 if entry.get("type") == "event_msg": 160 payload = entry.get("payload") 161 if isinstance(payload, dict) and payload.get("type") == "token_count": 162 continue 163 timestamp = entry.get("timestamp", "unknown time") 164 entry_type = entry.get("type", "unknown type") 165 lines.append(f"\n### {timestamp} · {entry_type}") 166 payload = entry.get("payload") 167 if payload is None: 168 lines.append("- _No payload_") 169 continue 170 lines.extend(format_value(payload)) 171 172 return "\n".join(lines) + "\n" 173 174 175 def read_entries(path: Path) -> list[dict]: 176 entries: list[dict] = [] 177 with path.open("r", encoding="utf-8") as handle: 178 for number, line in enumerate(handle, 1): 179 text = line.strip() 180 if not text: 181 continue 182 try: 183 entries.append(json.loads(text)) 184 except json.JSONDecodeError as exc: 185 raise SystemExit(f"Failed to parse JSON on line {number}: {exc}") from exc 186 return entries 187 188 189 def main() -> None: 190 parser = argparse.ArgumentParser(description="Convert Codex JSONL session logs to Markdown") 191 parser.add_argument("path", type=Path, help="Path to the .jsonl file") 192 args = parser.parse_args() 193 194 if not args.path.exists(): 195 raise SystemExit(f"File not found: {args.path}") 196 197 entries = read_entries(args.path) 198 markdown = render_markdown(entries, args.path) 199 print(markdown) 200 201 202 if __name__ == "__main__": 203 main() - metadata:
- exit_code: 0
- duration_seconds: 0.0
- output:
- cwd: /private/tmp
- approval_policy: never
- sandbox_policy:
- mode: danger-full-access
- model: gpt-5-codex
- summary: auto
- type: agent_reasoning
- text:
**Summarizing modifications and next steps** I'll detail the key changes including JSON parsing additions in `log_to_markdown.py` with line references, describe the format adjustments, and mention testing commands run. Then I'll suggest optional next steps like rerunning on other logs to keep things clear and actionable for the user.
- type: agent_message
- message:
- Added `try_parse_structured_json` so `arguments`/`output` strings that contain JSON expand into structured Markdown while preserving the heredoc script handling (`log_to_markdown.py:59-118`). - Function-call output blocks now show stdout in fenced code blocks and include metadata bullets, and encrypted reasoning is summarized by byte count for clarity (`log_to_markdown.py:81-118`). - Token-count filtering logic remains in place so only the final usage snapshot appears (`log_to_markdown.py:134-171`). Tests: - `python3 log_to_markdown.py /private/tmp/test.jsonl` - `python3 log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl` Next: If you want to archive the formatted report, redirect the CLI output into a Markdown file.
- type: token_count
- info:
- total_token_usage:
- input_tokens: 1161076
- cached_input_tokens: 963968
- output_tokens: 26467
- reasoning_output_tokens: 13504
- total_tokens: 1187543
- last_token_usage:
- input_tokens: 52333
- cached_input_tokens: 49408
- output_tokens: 401
- reasoning_output_tokens: 192
- total_tokens: 52734
- model_context_window: 272000
- total_token_usage:
- type: reasoning
- summary:
- item 1:
- type: summary_text
- text:
**Summarizing modifications and next steps** I'll detail the key changes including JSON parsing additions in `log_to_markdown.py` with line references, describe the format adjustments, and mention testing commands run. Then I'll suggest optional next steps like rerunning on other logs to keep things clear and actionable for the user.
- item 1:
- content: null
- encrypted_content: encrypted_content: 2232 bytes
- type: message
- role: assistant
- content:
- item 1:
- type: output_text
- text:
- Added `try_parse_structured_json` so `arguments`/`output` strings that contain JSON expand into structured Markdown while preserving the heredoc script handling (`log_to_markdown.py:59-118`). - Function-call output blocks now show stdout in fenced code blocks and include metadata bullets, and encrypted reasoning is summarized by byte count for clarity (`log_to_markdown.py:81-118`). - Token-count filtering logic remains in place so only the final usage snapshot appears (`log_to_markdown.py:134-171`). Tests: - `python3 log_to_markdown.py /private/tmp/test.jsonl` - `python3 log_to_markdown.py /private/tmp/build/rollout-2025-09-24T10-58-50-01997ce0-c98e-70b0-9302-eca29f1c454f.jsonl` Next: If you want to archive the formatted report, redirect the CLI output into a Markdown file.
- item 1: