The user is asking about where conversation logs are stored for Kimi Code CLI. This is a question about the tool itself, which falls under the `kimi-cli-help` skill. Let me check what that skill says about logging or conversation storage.

{
  "path": "C:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\\Lib\\site-packages\\kimi_cli\\skills\\kimi-cli-help\\SKILL.md"
}

<system>55 lines read from file starting from line 1. Total lines in file: 55. End of file reached.</system>
     1  ---
     2  name: kimi-cli-help
     3  description: Answer Kimi Code CLI usage, configuration, and troubleshooting questions. Use when user asks about Kimi Code CLI installation, setup, configuration, slash commands, keyboard shortcuts, MCP integration, providers, environment variables, how something works internally, or any questions about Kimi Code CLI itself.
     4  ---
     5  
     6  # Kimi Code CLI Help
     7  
     8  Help users with Kimi Code CLI questions by consulting documentation and source code.
     9  
    10  ## Strategy
    11  
    12  1. **Prefer official documentation** for most questions
    13  2. **Read local source** when in kimi-cli project itself, or when user is developing with kimi-cli as a library (e.g., importing from `kimi_cli` in their code)
    14  3. **Clone and explore source** for complex internals not covered in docs - **ask user for confirmation first**
    15  
    16  ## Documentation
    17  
    18  Base URL: `https://moonshotai.github.io/kimi-cli/`
    19  
    20  Fetch documentation index to find relevant pages:
    21  
    22  ```
    23  https://moonshotai.github.io/kimi-cli/llms.txt
    24  ```
    25  
    26  ### Page URL Pattern
    27  
    28  - English: `https://moonshotai.github.io/kimi-cli/en/...`
    29  - Chinese: `https://moonshotai.github.io/kimi-cli/zh/...`
... [27 more lines]

The user is asking about where conversation logs are stored for Kimi Code CLI. The skill suggests consulting official documentation or local source. Let me search the documentation or source for information about logging or conversation storage.

I can see in the working directory there's a file `.claude/session-timestamps.log` but the user is asking about Kimi specifically, not Claude.

Let me search the kimi-cli source for log paths or check if there's a local config directory.

{
  "command": "python -c \"import kimi_cli; print(kimi_cli.__file__)\""
}

{
  "command": "if ($env:APPDATA) { Join-Path $env:APPDATA \"kimi-cli\" } else { \"~/.config/kimi-cli\" }"
}

<system>ERROR: Command failed with exit code: 1.</system>
Traceback (most recent call last):
  File "<string>", line 1, in <module>
    import kimi_cli; print(kimi_cli.__file__)
    ^^^^^^^^^^^^^^^
ModuleNotFoundError: No module named 'kimi_cli'

<system>Command executed successfully.</system>
C:\Users\adn\AppData\Roaming\kimi-cli

The user is asking about where conversation logs are stored. I found a potential directory at `C:\Users\adn\AppData\Roaming\kimi-cli`. Let me explore that directory to see what's in there, and also search the kimi-cli source code that's installed on the system for log-related paths.

{
  "command": "Get-ChildItem -Path \"C:\\Users\\adn\\AppData\\Roaming\\kimi-cli\" -Recurse -Force -ErrorAction SilentlyContinue | Select-Object -First 50 FullName"
}

{
  "command": "Get-ChildItem -Path \"C:\\Users\\adn\\AppData\\Roaming\\kimi-cli\" -Force -ErrorAction SilentlyContinue"
}

<system>Command executed successfully.</system>

FullName                                      
--------                                      
C:\Users\adn\AppData\Roaming\uv\tools\kimi-cli

The user is asking about where conversation logs are stored for Kimi Code CLI. Let me search the documentation and source code for more specific information about logging paths.

{
  "url": "https://moonshotai.github.io/kimi-cli/en/faq.md"
}

{
  "pattern": "log|conversation|history|session",
  "path": "C:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli",
  "glob": "*.py",
  "output_mode": "files_with_matches",
  "head_limit": 20
}

<system>The returned content is the main content extracted from the page.</system>
````
---
url: /kimi-cli/en/faq.md
---
# FAQ

## Installation and authentication

### Empty model list during `/login`

If you see "No models available for the selected platform" error when running the `/login` (or `/setup`) command, it may be due to:

* **Invalid or expired API key**: Check if your API key is correct and still valid.
* **Network connection issues**: Confirm you can access the API service addresses (such as `api.kimi.com` or `api.moonshot.cn`).

### Invalid API key

Possible reasons for an invalid API key:

* **Key input error**: Check for extra spaces or missing characters.
* **Key expired or revoked**: Confirm the key status in the platform console.
* **Environment variable override**: Check if `KIMI_API_KEY` or `OPENAI_API_KEY` environment variables are overriding the key in the config file. You can run `echo $KIMI_API_KEY` to check.

### Membership expired or quota exhausted

If you're using the Kimi Code platform, you can check your current quota and membership status with the `/usage` command. If the quota is exhausted or membership expired, you need to renew or upgrade at [Kimi Code](https://kimi.com/coding).

## Interaction issues

... [123 more lines]

<system>Results truncated to 20 lines (total: 1499). Use offset=20 to see more.</system>
Lib\site-packages\babel\messages\setuptools_frontend.py
Lib\site-packages\babel\messages\pofile.py
Lib\site-packages\babel\messages\plurals.py
Lib\site-packages\babel\messages\mofile.py
Lib\site-packages\babel\messages\frontend.py
Lib\site-packages\babel\messages\checkers.py
Lib\site-packages\babel\messages\catalog.py
Lib\site-packages\babel\messages\__init__.py
Lib\site-packages\win32comext\shell\demos\servers\shell_view.py
Lib\site-packages\win32comext\shell\demos\servers\folder_view.py
Lib\site-packages\win32comext\shell\demos\servers\copy_hook.py
Lib\site-packages\win32comext\shell\demos\browse_for_folder.py
Lib\site-packages\win32comext\mapi\demos\mapisend.py
Lib\site-packages\win32comext\axscript\test\testHost4Dbg.py
Lib\site-packages\win32comext\axdebug\gateways.py
Lib\site-packages\win32comext\axdebug\debugger.py
Lib\site-packages\win32comext\axdebug\adb.py
Lib\site-packages\win32comext\authorization\demos\EditServiceSecurity.py
Lib\site-packages\win32comext\authorization\demos\EditSecurity.py
Lib\site-packages\win32comext\adsi\demos\search.py

The user is asking about where conversation logs are stored for Kimi Code CLI. I found some relevant information. The FAQ mentions:

1. For IDE connection issues: "Examine error messages in `~/.kimi/logs/kimi.log`"
2. For MCP issues: "Check if `~/.kimi/mcp.json` is valid JSON"

This suggests the config directory is `~/.kimi` (on Unix) or likely `%USERPROFILE%\.kimi` on Windows.

Let me search for the actual source files in the kimi-cli package to find the exact log path logic, or just check if `%USERPROFILE%\.kimi` exists on this system.

{
  "command": "Get-ChildItem -Path \"$env:USERPROFILE\\.kimi\" -Force -ErrorAction SilentlyContinue | Select-Object Name"
}

{
  "pattern": "logs|kimi\\.log|LOG_PATH|log_dir",
  "path": "C:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\\Lib\\site-packages\\kimi_cli",
  "glob": "*.py",
  "output_mode": "content",
  "head_limit": 30
}

<system>Command executed successfully.</system>

Name        
----        
bin         
credentials 
logs        
sessions    
user-history
config.toml 
device_id   
kimi.json   

The user is asking about where conversation logs are stored for Kimi Code CLI. I found very useful information:

1. From the FAQ: `~/.kimi/logs/kimi.log` is mentioned for IDE connection issues.
2. From the source code grep: `get_share_dir() / "logs" / "kimi.log"` is the log path.
3. From the shell command: `%USERPROFILE%\.kimi` exists with subdirectories including `logs` and `sessions`.

So on this Windows system, the logs are stored in `C:\Users\adn\.kimi\logs\kimi.log`. There are also `sessions` and `user-history` directories which might contain conversation history.

Let me check what's in the logs and sessions directories to give a more complete answer.

{
  "command": "Get-ChildItem -Path \"$env:USERPROFILE\\.kimi\\logs\" | Select-Object Name, LastWriteTime, @{N=\"SizeKB\";E={[math]::Round($_.Length/1KB,2)}}"
}

{
  "command": "Get-ChildItem -Path \"$env:USERPROFILE\\.kimi\\sessions\" | Select-Object Name, LastWriteTime"
}

{
  "command": "Get-ChildItem -Path \"$env:USERPROFILE\\.kimi\\user-history\" | Select-Object Name, LastWriteTime"
}

<system>Command executed successfully.</system>

Name     LastWriteTime     SizeKB
----     -------------     ------
kimi.log 21/04/26 08:18:25   1,89

<system>Command executed successfully.</system>

Name                             LastWriteTime    
----                             -------------    
6bea328adb6bb5fc16327518cb85cc2c 21/04/26 08:18:25

<system>Command executed successfully.</system>

Name                                   LastWriteTime    
----                                   -------------    
6bea328adb6bb5fc16327518cb85cc2c.jsonl 21/04/26 08:19:24

The user is asking about where conversation logs are stored for Kimi Code CLI. I now have all the information I need to give a complete answer:

1. Main diagnostic log: `%USERPROFILE%\.kimi\logs\kimi.log` (on Windows) or `~/.kimi/logs/kimi.log` (on Unix)
2. Conversation history appears to be in `%USERPROFILE%\.kimi\user-history\` as `.jsonl` files
3. Sessions are in `%USERPROFILE%\.kimi\sessions\`

On this specific system:
- `C:\Users\adn\.kimi\logs\kimi.log` - the main log file
- `C:\Users\adn\.kimi\user-history\` - conversation history files (.jsonl)
- `C:\Users\adn\.kimi\sessions\` - session files

I should present this clearly to the user.

The user wants me to read the `end-session` skill for Claude and port it to work with Kimi Code CLI sessions. Let me read the SKILL.md file first to understand what it does.

{
  "path": "E:\\a327ex\\.claude\\skills\\end-session\\SKILL.md"
}

<system>155 lines read from file starting from line 1. Total lines in file: 155. End of file reached.</system>
     1  ---
     2  name: end-session
     3  description: End the current session. Converts transcript to markdown, writes summary, commits, and pushes to GitHub and Blot.
     4  ---
     5  
     6  # End Session Workflow
     7  
     8  This skill is invoked from the **same conversation** where the work was done. You already have the full session context in memory — you do NOT need to read the transcript.
     9  
    10  ## Step 1: Get Session Info
    11  
    12  Ask the user for the **session title** (max 30 characters). Examples: "Anchor Phase 10 Part 5", "Physics Arena Setup", "Timer System Fix", "Thalien Lune Design".
    13  
    14  **Determine the project yourself from your session context** — you know which repo(s) were worked on, which files were created/modified, and where they live. No need to ask. See Step 6 for the list of known project roots; if the session touched something outside the list, infer the root from the paths you actually edited.
    15  
    16  ## Step 2: Write Summary
    17  
    18  Write the summary from your conversation memory. You have the full session context — no need to read any files.
    19  
    20  The summary should be **thorough and detailed**. Each major topic deserves its own section with multiple specific bullet points. Don't compress — expand.
    21  
    22  **Purpose:** These summaries serve as searchable records. Future Claude instances will grep through past logs to find how specific topics were handled. The more detail you include, the more useful the summary becomes for finding relevant context later.
    23  
    24  Format (this is just an example structure — adapt sections to match what actually happened):
    25  
    26  ```markdown
    27  # [Title]
    28  
    29  ## Summary
... [127 more lines]

The user wants me to port the `end-session` skill from Claude to Kimi. Let me understand what it does:

1. Asks for session title
2. Writes a summary from conversation memory
3. Gets user approval
4. Converts transcript JSONL to markdown using a Python script
5. Syncs context files to Blot
6. Commits project repo with full summary
7. Pushes both repos
8. Confirms

The key differences for Kimi:
- Kimi stores sessions in `~/.kimi/sessions/` and `~/.kimi/user-history/` as JSONL files
- Need to find the current session's JSONL file
- Need a script to convert Kimi's JSONL format to markdown

Let me first look at what Kimi's session/user-history JSONL format looks like, and what scripts already exist for Claude.

I should read:
1. The existing `find-recent-session.py` script
2. The existing `jsonl-to-markdown.py` script
3. A sample Kimi JSONL file to understand the format

Then I can create the new skill for Kimi.

{
  "path": "E:\\a327ex\\Anchor2\\scripts\\find-recent-session.py"
}

{
  "path": "E:\\a327ex\\Anchor2\\scripts\\jsonl-to-markdown.py"
}

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\user-history\\6bea328adb6bb5fc16327518cb85cc2c.jsonl\" -TotalCount 20"
}

<system>165 lines read from file starting from line 1. Total lines in file: 165. End of file reached.</system>
     1  #!/usr/bin/env python3
     2  """Find the most recent session by last message timestamp.
     3  
     4  Searches:
     5    - Claude Code: flat ``~/.claude/projects/<slug>/*.jsonl`` (per --folders)
     6    - Cursor / Composer: ``~/.cursor/projects/<project>/agent-transcripts/<id>/<id>.jsonl``
     7  
     8  When a transcript has no embedded ``timestamp`` (Cursor), the file's modification
     9  time is used for sorting.
    10  """
    11  
    12  import os
    13  import json
    14  import glob
    15  import argparse
    16  from datetime import datetime
    17  from pathlib import Path
    18  
    19  def get_last_timestamp(jsonl_path):
    20      """Get the timestamp of the last message in a jsonl file (Claude Code schema)."""
    21      try:
    22          with open(jsonl_path, 'r', encoding='utf-8') as f:
    23              lines = f.readlines()
    24              # Read from the end to find a line with a timestamp
    25              for line in reversed(lines):
    26                  line = line.strip()
    27                  if not line:
    28                      continue
    29                  try:
... [137 more lines]

<system>497 lines read from file starting from line 1. Total lines in file: 497. End of file reached.</system>
     1  #!/usr/bin/env python3
     2  """Convert JSONL transcripts to readable Markdown.
     3  
     4  Supports:
     5    - **Claude Code** — messages use ``type`` / ``uuid`` / ``parentUuid`` (see below).
     6    - **Cursor (Composer) agent** — messages use ``role`` (``user`` / ``assistant``) and
     7      ``message.content`` parts (``text``, ``tool_use``). Tool results are often not
     8      embedded in exports; tool calls are listed for context.
     9  """
    10  
    11  import json
    12  import os
    13  import sys
    14  import re
    15  from datetime import datetime
    16  
    17  def is_cursor_transcript(jsonl_path):
    18      """True if file is Cursor agent JSONL (``role``-based lines)."""
    19      try:
    20          with open(jsonl_path, 'r', encoding='utf-8') as f:
    21              for line in f:
    22                  line = line.strip()
    23                  if not line:
    24                      continue
    25                  msg = json.loads(line)
    26                  return 'role' in msg and 'type' not in msg
    27      except (OSError, json.JSONDecodeError, UnicodeDecodeError):
    28          pass
    29      return False
... [126 more lines]

<system>Command executed successfully.</system>
{"content":"Hello, Kimi. Where are the logs for your conversations stored?"}
{"content":"/login"}
{"content":"Hello, Kimi. Where are the logs for your conversations stored?"}
{"content":"There's a skill for Claude that I run after each session called end-session, which reads the jsonl log for the relevant session and outputs it to Markdown on my website. Could you read that skill and port it so it works on your sessions?"}

The user wants me to port the `end-session` skill from Claude to Kimi. Let me understand what I've gathered:

1. The Kimi JSONL format in `user-history/` is very simple - just `{"content":"..."}` lines, alternating user/assistant messages.
2. The existing scripts are:
   - `find-recent-session.py` - finds recent sessions from Claude/Cursor
   - `jsonl-to-markdown.py` - converts JSONL to markdown for Claude/Cursor

I need to:
1. Create a new skill `end-session` for Kimi at `.claude/skills/end-session/`? No, the user wants it for Kimi sessions, so it should probably be in a Kimi skills directory. But looking at the current structure, there's `.claude/skills/`. The user might want it there since the existing skill is there, or maybe create a `.kimi/skills/` directory. Let me think...

Actually, the user said "There's a skill for Claude that I run after each session called end-session". They want me to port it so it works on Kimi sessions. I should probably create:
1. A script to find recent Kimi sessions
2. A script to convert Kimi JSONL to markdown
3. Update the skill file to work with Kimi

But wait - the user said "read that skill and port it". The skill itself just references the scripts. The scripts do the actual work. So I need to:
1. Create/update `find-recent-session.py` to also find Kimi sessions
2. Create/update `jsonl-to-markdown.py` to also handle Kimi JSONL format
3. Create a new `SKILL.md` for Kimi's `end-session`

Actually, looking at the existing scripts, they already handle both Claude and Cursor. I should add Kimi support to them, then create the skill.

Let me first look more carefully at the Kimi JSONL format. The sample shows just `{"content":"..."}` lines. But there might be more structure. Let me read more of the file to see if there are other fields like role, timestamp, tool calls, etc.

Actually, looking at the sample:
```
{"content":"Hello, Kimi. Where are the logs for your conversations stored?"}
{"content":"/login"}
{"content":"Hello, Kimi. Where are the logs for your conversations stored?"}
{"content":"There's a skill for Claude that I run after each session called end-session, which reads the jsonl log for the relevant session and outputs it to Markdown on my website. Could you read that skill and port it so it works on your sessions?"}
```

It seems like the JSONL just has `{"content":"..."}` with no role or timestamp. The lines probably alternate user/assistant. But there might be more to it - maybe tool calls are stored in the `sessions/` directory instead? Let me check the sessions directory too.

Also, I need to understand where the scripts should live. The existing ones are in `Anchor2/scripts/` and `Anchor/scripts/`. The user uses those. For Kimi, I should probably either:
1. Add Kimi support to the existing scripts
2. Create new scripts

The cleanest approach is to add Kimi support to the existing scripts since they're already multi-format.

Let me explore more of the Kimi data format first.

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\user-history\\6bea328adb6bb5fc16327518cb85cc2c.jsonl\" -TotalCount 100"
}

{
  "command": "Get-ChildItem \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\" | Select-Object Name, @{N=\"Size\";E={$_.Length}}; Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\*\" -TotalCount 50 -ErrorAction SilentlyContinue"
}

{
  "pattern": "user-history|sessions|get_share_dir",
  "path": "C:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\\Lib\\site-packages\\kimi_cli",
  "glob": "*.py",
  "output_mode": "content",
  "head_limit": 40
}

<system>Command executed successfully.</system>
{"content":"Hello, Kimi. Where are the logs for your conversations stored?"}
{"content":"/login"}
{"content":"Hello, Kimi. Where are the logs for your conversations stored?"}
{"content":"There's a skill for Claude that I run after each session called end-session, which reads the jsonl log for the relevant session and outputs it to Markdown on my website. Could you read that skill and port it so it works on your sessions?"}

<system>ERROR: Command failed with exit code: 1.</system>

Name                                 Size
----                                 ----
c9faf3df-d202-461a-badf-c1c416bded10    1

<system>Results truncated to 40 lines (total: 259). Use offset=40 to see more.</system>
app.py:23:from kimi_cli.share import get_share_dir
app.py:58:        get_share_dir() / "logs" / "kimi.log",
app.py:221:        # determine plan mode (only for new sessions, not restored)
app.py:290:        # Activate plan mode if requested (for new sessions or --plan flag)
config.py:22:from kimi_cli.share import get_share_dir
config.py:198:    default_plan_mode: bool = Field(default=False, description="Default plan mode for new sessions")
config.py:251:    return get_share_dir() / "config.toml"
config.py:375:    old_json_config_file = get_share_dir() / "config.json"
config.py:376:    new_toml_config_file = get_share_dir() / "config.toml"
session.py:51:        path = self.work_dir_meta.sessions_dir / self.id
session.py:101:        session_dir = self.work_dir_meta.sessions_dir / self.id
session.py:146:        session_dir = work_dir_meta.sessions_dir / session_id
session.py:201:        session_dir = work_dir_meta.sessions_dir / session_id
session.py:228:        """List all sessions for a work directory."""
session.py:230:        logger.debug("Listing sessions for work directory: {work_dir}", work_dir=work_dir)
session.py:240:            for path in work_dir_meta.sessions_dir.iterdir()
session.py:244:        sessions: list[Session] = []
session.py:247:            session_dir = work_dir_meta.sessions_dir / session_id
session.py:273:            sessions.append(session)
session.py:274:        sessions.sort(key=lambda session: session.updated_at, reverse=True)
session.py:275:        return sessions
session.py:279:        """List sessions across all known work directories."""
session.py:280:        all_sessions: list[Session] = []
session.py:282:            sessions = await cls.list(KaosPath.unsafe_from_local_path(Path(wd.path)))
session.py:283:            all_sessions.extend(sessions)
session.py:284:        all_sessions.sort(key=lambda s: s.updated_at, reverse=True)
session.py:285:        return all_sessions
session.py:310:    old_context_file = work_dir_meta.sessions_dir / f"{session_id}.jsonl"
session.py:311:    new_context_file = work_dir_meta.sessions_dir / session_id / "context.jsonl"
... [11 more lines]

The user wants me to port the `end-session` skill from Claude to Kimi. Let me understand what I need to do:

1. The Kimi `user-history` JSONL format is very simple: just `{"content":"..."}` lines alternating between user and assistant. There are no timestamps, roles, or UUIDs in that file.

2. But wait - there's also a `sessions/` directory with session subdirs containing `context.jsonl` or other files. Let me check the session format more carefully, because that might have more structure (tool calls, etc.).

Let me read the session context file to see if it has more detailed transcript data.

{
  "command": "Get-ChildItem -Recurse \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\" | Select-Object FullName, Length"
}

{
  "path": "C:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\\Lib\\site-packages\\kimi_cli\\session.py",
  "line_offset": 1,
  "n_lines": 80
}

<system>Command executed successfully.</system>

FullName                                                                                                        Length
--------                                                                                                        ------
C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10                     
C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10\context.jsonl 96652 
C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10\state.json    467   
C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10\wire.jsonl    84862 

<system>80 lines read from file starting from line 1. Total lines in file: 319.</system>
     1  from __future__ import annotations
     2  
     3  import asyncio
     4  import builtins
     5  import json
     6  import shutil
     7  import uuid
     8  from dataclasses import dataclass
     9  from pathlib import Path
    10  
    11  from kaos.path import KaosPath
    12  from kosong.message import Message
    13  
    14  from kimi_cli.metadata import WorkDirMeta, load_metadata, save_metadata
    15  from kimi_cli.session_state import SessionState, load_session_state, save_session_state
    16  from kimi_cli.utils.logging import logger
    17  from kimi_cli.utils.string import shorten
    18  from kimi_cli.wire.file import WireFile
    19  from kimi_cli.wire.types import TurnBegin
    20  
    21  
    22  @dataclass(slots=True, kw_only=True)
    23  class Session:
    24      """A session of a work directory."""
    25  
    26      # static metadata
    27      id: str
    28      """The session ID."""
    29      work_dir: KaosPath
... [52 more lines]

The user wants me to port the `end-session` skill from Claude to Kimi. Let me understand what I need to do:

1. The Kimi session data is stored in:
   - `%USERPROFILE%\.kimi\sessions\<work_dir_hash>\<session_id>\<subagent_id>\context.jsonl` - this seems to have role information
   - `%USERPROFILE%\.kimi\user-history\<session_id>.jsonl` - simplified history with just content

2. Looking at the session structure:
   - `sessions/` is organized by work directory hash, then session ID, then subagent ID
   - Each subagent has `context.jsonl`, `state.json`, `wire.jsonl`

3. The `context.jsonl` seems to have `role` fields based on the `is_empty()` method checking `json.loads(line).get("role")`.

4. The `user-history/` files are simpler - just `{"content":"..."}`.

For the end-session workflow, I need the full transcript with tool calls. The `context.jsonl` or `wire.jsonl` might have that. Let me check those formats.

But wait - the user wants to run this AT THE END of a session. So the current session's data should be accessible. The question is: which file contains the most complete transcript?

Let me look at the `context.jsonl` and `wire.jsonl` formats.

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" -TotalCount 30"
}

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\wire.jsonl\" -TotalCount 30"
}

<system>Command executed successfully. Output is truncated to fit in the message.</system>
{"role": "_system_prompt", "content": "You are Kimi Code CLI, an interactive general AI agent running on a user's computer.\n\nYour primary goal is to help users with software engineering tasks by taking action \u2014 use the tools available to you to make real changes on the user's system. You should also answer questions when asked. Always adhere strictly to the following system instructions and the user's requirements.\n\n\n\n# Prompt and Tool Use\n\nThe user's messages may contain questions and/or task descriptions in natural language, code snippets, logs, file paths, or other forms of information. Read them, understand them and do what the user requested. For simple questions/greetings that do not involve any information in the working directory or on the internet, you may simply reply directly. For anything else, default to taking action with tools. When the request could be interpreted as either a question to answer or a task to complete, treat it as a task.\n\nWhen handling the user's request, if it involves creating, modifying, or running code or files, you MUST use the appropriate tools (e.g., `WriteFile`, `Shell`) to make actual changes \u2014 do not just describe the solution in text. For questions that only need an explanation, you may reply in text directly. When calling tools, do not provide explanations because the tool calls themselves should be self-explanatory. You MUST follow the description of each tool and its parameters when calling tools.\n\nIf the `Agent` tool is available, you can use it to delegate a focused subtask to a subagent instance. The tool can either start a new instance or resume an existing one by `agent_id`. Subagent instances are persistent session objects with their own context history. When delegating, provide a complete prompt with all necessary context because a newly created subagent instance does not automatically see your current context. If an existing subagent already has useful context or the task cle[...truncated]
{"role": "_checkpoint", "id": 0}
{"role":"user","content":"Hello, Kimi. Where are the logs for your conversations stored?"}
{"role": "_checkpoint", "id": 1}
{"role": "_usage", "token_count": 11619}
{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored for Kimi Code CLI. This is a question about the tool itself, which falls under the `kimi-cli-help` skill. Let me check what that skill says about logging or conversation storage.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_Xh1WHoW2GrFqCIPD74CG7ZjO","function":{"name":"ReadFile","arguments":"{\"path\": \"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\\\\Lib\\\\site-packages\\\\kimi_cli\\\\skills\\\\kimi-cli-help\\\\SKILL.md\"}"}}]}
{"role": "_usage", "token_count": 11726}
{"role":"tool","content":[{"type":"text","text":"<system>55 lines read from file starting from line 1. Total lines in file: 55. End of file reached.</system>"},{"type":"text","text":"     1\t---\n     2\tname: kimi-cli-help\n     3\tdescription: Answer Kimi Code CLI usage, configuration, and troubleshooting questions. Use when user asks about Kimi Code CLI installation, setup, configuration, slash commands, keyboard shortcuts, MCP integration, providers, environment variables, how something works internally, or any questions about Kimi Code CLI itself.\n     4\t---\n     5\t\n     6\t# Kimi Code CLI Help\n     7\t\n     8\tHelp users with Kimi Code CLI questions by consulting documentation and source code.\n     9\t\n    10\t## Strategy\n    11\t\n    12\t1. **Prefer official documentation** for most questions\n    13\t2. **Read local source** when in kimi-cli project itself, or when user is developing with kimi-cli as a library (e.g., importing from `kimi_cli` in their code)\n    14\t3. **Clone and explore source** for complex internals not covered in docs - **ask user for confirmation first**\n    15\t\n    16\t## Documentation\n    17\t\n    18\tBase URL: `https://moonshotai.github.io/kimi-cli/`\n    19\t\n    20\tFetch documentation index to find relevant pages:\n    21\t\n    22\t```\n    23\thttps://moonshotai.github.io/kimi-cli/llms.txt\n    24\t```\n    25\t\n    26\t### Page URL Pattern\n    27\t\n    28\t- English: `https://moonshotai.github.io/kimi-cli/en/...`\n    29\t- Chinese: `https://moonshotai.github.io/kimi-cli/zh/...`\n    30\t\n    31\t### Topic Mapping\n    32\t\n    33\t| Topic | Page |\n    34\t|-------|------|\n    35\t| Installation, first run | `/en/guides/getting-started.md` |\n    36\t| Config files | `/en/configuration/config-files.md` |\n    37\t| Providers, models | `/en/configuration/providers.md` |\n    38\t| Environment variables | `/en/configuration/env-vars.md` |\n    39\t| Slash commands | `/en/reference/slash-com[...truncated]
{"role": "_checkpoint", "id": 2}
{"role": "_usage", "token_count": 12465}
{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored for Kimi Code CLI. The skill suggests consulting official documentation or local source. Let me search the documentation or source for information about logging or conversation storage.\n\nI can see in the working directory there's a file `.claude/session-timestamps.log` but the user is asking about Kimi specifically, not Claude.\n\nLet me search the kimi-cli source for log paths or check if there's a local config directory.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_TEjjieb74Si8wjDhvwVxpgL0","function":{"name":"Shell","arguments":"{\"command\": \"python -c \\\"import kimi_cli; print(kimi_cli.__file__)\\\"\"}"}},{"type":"function","id":"tool_c3bTJyfhHlczrGAlv2UnimmX","function":{"name":"Shell","arguments":"{\"command\": \"if ($env:APPDATA) { Join-Path $env:APPDATA \\\"kimi-cli\\\" } else { \\\"~/.config/kimi-cli\\\" }\"}"}}]}
{"role": "_usage", "token_count": 12638}
{"role":"tool","content":[{"type":"text","text":"<system>ERROR: Command failed with exit code: 1.</system>"},{"type":"text","text":"Traceback (most recent call last):\r\n  File \"<string>\", line 1, in <module>\r\n    import kimi_cli; print(kimi_cli.__file__)\r\n    ^^^^^^^^^^^^^^^\r\nModuleNotFoundError: No module named 'kimi_cli'\r\n"}],"tool_call_id":"tool_TEjjieb74Si8wjDhvwVxpgL0"}
{"role":"tool","content":[{"type":"text","text":"<system>Command executed successfully.</system>"},{"type":"text","text":"C:\\Users\\adn\\AppData\\Roaming\\kimi-cli\r\n"}],"tool_call_id":"tool_c3bTJyfhHlczrGAlv2UnimmX"}
{"role": "_checkpoint", "id": 3}
{"role": "_usage", "token_count": 12761}
{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored. I found a potential directory at `C:\\Users\\adn\\AppData\\Roaming\\kimi-cli`. Let me explore that directory to see what's in there, and also search the kimi-cli source code that's installed on the system for log-related paths.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_2fyW5dbTAMorVrgFeeJZSPAh","function":{"name":"Shell","arguments":"{\"command\": \"Get-ChildItem -Path \\\"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\kimi-cli\\\" -Recurse -Force -ErrorAction SilentlyContinue | Select-Object -First 50 FullName\"}"}},{"type":"function","id":"tool_IWdDOEKKmFgsx35IKxbmA2uT","function":{"name":"Shell","arguments":"{\"command\": \"Get-ChildItem -Path \\\"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\kimi-cli\\\" -Force -ErrorAction SilentlyContinue\"}"}}]}
{"role": "_usage", "token_count": 12930}
{"role":"tool","content":[{"type":"text","text":"<system>Command executed successfully.</system>"},{"type":"text","text":"\r\nFullName                                      \r\n--------                                      \r\nC:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\r\n\r\n\r\n"}],"tool_call_id":"tool_2fyW5dbTAMorVrgFeeJZSPAh"}
{"role":"tool","content":"<system>ERROR: Command failed with exit code: 1.</system>","tool_call_id":"tool_IWdDOEKKmFgsx35IKxbmA2uT"}
{"role": "_checkpoint", "id": 4}
{"role": "_usage", "token_count": 13012}
{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored for Kimi Code CLI. Let me search the documentation and source code for more specific information about logging paths.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_oEaa1XYP1fT5iiTuBq3cmoUD","function":{"name":"FetchURL","arguments":"{\"url\": \"https://moonshotai.github.io/kimi-cli/en/faq.md\"}"}},{"type":"function","id":"tool_lPjoGLuPThSi02RoGLoKsbxx","function":{"name":"Grep","arguments":"{\"pattern\": \"log|conversation|history|session\", \"path\": \"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\", \"glob\": \"*.py\", \"output_mode\": \"files_with_matches\", \"head_limit\": 20}"}}]}
{"role": "_usage", "token_count": 13142}
{"role":"tool","content":[{"type":"text","text":"<system>The returned content is the main content extracted from the page.</system>"},{"type":"text","text":"````\n---\nurl: /kimi-cli/en/faq.md\n---\n# FAQ\n\n## Installation and authentication\n\n### Empty model list during `/login`\n\nIf you see \"No models available for the selected platform\" error when running the `/login` (or `/setup`) command, it may be due to:\n\n* **Invalid or expired API key**: Check if your API key is correct and still valid.\n* **Network connection issues**: Confirm you can access the API service addresses (such as `api.kimi.com` or `api.moonshot.cn`).\n\n### Invalid API key\n\nPossible reasons for an invalid API key:\n\n* **Key input error**: Check for extra spaces or missing characters.\n* **Key expired or revoked**: Confirm the key status in the platform console.\n* **Environment variable override**: Check if `KIMI_API_KEY` or `OPENAI_API_KEY` environment variables are overriding the key in the config file. You can run `echo $KIMI_API_KEY` to check.\n\n### Membership expired or quota exhausted\n\nIf you're using the Kimi Code platform, you can check your current quota and membership status with the `/usage` command. If the quota is exhausted or membership expired, you need to renew or upgrade at [Kimi Code](https://kimi.com/coding).\n\n## Interaction issues\n\n### `cd` command doesn't work in shell mode\n\nExecuting the `cd` command in shell mode won't change Kimi Code CLI's working directory. This is because each shell command executes in an independent subprocess, and directory changes only take effect within that process.\n\nIf you need to change working directory:\n\n* **Exit and restart**: Run the `kimi` command again in the target directory.\n* **Use `--work-dir` flag**: Specify working directory at startup, like `kimi --work-dir /path/to/project`.\n* **Use absolute paths in commands**: Execute commands with absolute paths directly, like `ls /path/to/dir`.\n\n### I[...truncated]
{"role":"tool","content":[{"type":"text","text":"<system>Results truncated to 20 lines (total: 1499). Use offset=20 to see more.</system>"},{"type":"text","text":"Lib\\site-packages\\babel\\messages\\setuptools_frontend.py\nLib\\site-packages\\babel\\messages\\pofile.py\nLib\\site-packages\\babel\\messages\\plurals.py\nLib\\site-packages\\babel\\messages\\mofile.py\nLib\\site-packages\\babel\\messages\\frontend.py\nLib\\site-packages\\babel\\messages\\checkers.py\nLib\\site-packages\\babel\\messages\\catalog.py\nLib\\site-packages\\babel\\messages\\__init__.py\nLib\\site-packages\\win32comext\\shell\\demos\\servers\\shell_view.py\nLib\\site-packages\\win32comext\\shell\\demos\\servers\\folder_view.py\nLib\\site-packages\\win32comext\\shell\\demos\\servers\\copy_hook.py\nLib\\site-packages\\win32comext\\shell\\demos\\browse_for_folder.py\nLib\\site-packages\\win32comext\\mapi\\demos\\mapisend.py\nLib\\site-packages\\win32comext\\axscript\\test\\testHost4Dbg.py\nLib\\site-packages\\win32comext\\axdebug\\gateways.py\nLib\\site-packages\\win32comext\\axdebug\\debugger.py\nLib\\site-packages\\win32comext\\axdebug\\adb.py\nLib\\site-packages\\win32comext\\authorization\\demos\\EditServiceSecurity.py\nLib\\site-packages\\win32comext\\authorization\\demos\\EditSecurity.py\nLib\\site-packages\\win32comext\\adsi\\demos\\search.py"}],"tool_call_id":"tool_lPjoGLuPThSi02RoGLoKsbxx"}
{"role": "_checkpoint", "id": 5}
{"role": "_usage", "token_count": 14914}
{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored for Kimi Code CLI. I found some relevant information. The FAQ mentions:\n\n1. For IDE connection issues: \"Examine error messages in `~/.kimi/logs/kimi.log`\"\n2. For MCP issues: \"Check if `~/.kimi/mcp.json` is valid JSON\"\n\nThis suggests the config directory is `~/.kimi` (on Unix) or likely `%USERPROFILE%\\.kimi` on Windows.\n\nLet me search for the actual source files in the kimi-cli package to find the exact log path logic, or just check if `%USERPROFILE%\\.kimi` exists on this system.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_m7TYlpK4eIf0ODau1xslykgJ","function":{"name":"Shell","arguments":"{\"command\": \"Get-ChildItem -Path \\\"$env:USERPROFILE\\\\.kimi\\\" -Force -ErrorAction SilentlyContinue | Select-Object Name\"}"}},{"type":"function","id":"tool_fzDyHq2qBOA3zZlPHGR5hU7s","function":{"name":"Grep","arguments":"{\"pattern\": \"logs|kimi\\\\.log|LOG_PATH|log_dir\", \"path\": \"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\\\\Lib\\\\site-packages\\\\kimi_cli\", \"glob\": \"*.py\", \"output_mode\": \"content\", \"head_limit\": 30}"}}]}
... [2 more lines]

<system>Command executed successfully. Output is truncated to fit in the message.</system>
{"type": "metadata", "protocol_version": "1.9"}
{"timestamp": 1776770338.6545775, "message": {"type": "TurnBegin", "payload": {"user_input": [{"type": "text", "text": "Hello, Kimi. Where are the logs for your conversations stored?"}]}}}
{"timestamp": 1776770338.656425, "message": {"type": "TurnEnd", "payload": {}}}
{"timestamp": 1776770364.8294659, "message": {"type": "TurnBegin", "payload": {"user_input": [{"type": "text", "text": "Hello, Kimi. Where are the logs for your conversations stored?"}]}}}
{"timestamp": 1776770364.8317122, "message": {"type": "StepBegin", "payload": {"n": 1}}}
{"timestamp": 1776770369.179541, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user is asking about where conversation logs are stored for Kimi Code CLI. This is a question about the tool itself, which falls under the `kimi-cli-help` skill. Let me check what that skill says about logging or conversation storage.", "encrypted": null}}}
{"timestamp": 1776770369.2692266, "message": {"type": "ToolCall", "payload": {"type": "function", "id": "tool_Xh1WHoW2GrFqCIPD74CG7ZjO", "function": {"name": "ReadFile", "arguments": "{\"path\": \"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\\\\Lib\\\\site-packages\\\\kimi_cli\\\\skills\\\\kimi-cli-help\\\\SKILL.md\"}"}, "extras": null}}}
{"timestamp": 1776770369.2718372, "message": {"type": "StatusUpdate", "payload": {"context_usage": 0.044322967529296875, "context_tokens": 11619, "max_context_tokens": 262144, "token_usage": {"input_other": 2403, "output": 107, "input_cache_read": 9216, "input_cache_creation": 0}, "message_id": "chatcmpl-8FH4IOQMHKkYSyRrmedImbWI", "plan_mode": false, "mcp_status": null}}}
{"timestamp": 1776770369.2914755, "message": {"type": "ToolResult", "payload": {"tool_call_id": "tool_Xh1WHoW2GrFqCIPD74CG7ZjO", "return_value": {"is_error": false, "output": "     1\t---\n     2\tname: kimi-cli-help\n     3\tdescription: Answer Kimi Code CLI usage, configuration, and troubleshooting questions. Use when user asks about Kimi Code CLI installation, setup, configuration, slash commands, keyboard shortcuts, MCP integration, providers, environment variables, how something works internally, or any questions about Kimi Code CLI itself.\n     4\t---\n     5\t\n     6\t# Kimi Code CLI Help\n     7\t\n     8\tHelp users with Kimi Code CLI questions by consulting documentation and source code.\n     9\t\n    10\t## Strategy\n    11\t\n    12\t1. **Prefer official documentation** for most questions\n    13\t2. **Read local source** when in kimi-cli project itself, or when user is developing with kimi-cli as a library (e.g., importing from `kimi_cli` in their code)\n    14\t3. **Clone and explore source** for complex internals not covered in docs - **ask user for confirmation first**\n    15\t\n    16\t## Documentation\n    17\t\n    18\tBase URL: `https://moonshotai.github.io/kimi-cli/`\n    19\t\n    20\tFetch documentation index to find relevant pages:\n    21\t\n    22\t```\n    23\thttps://moonshotai.github.io/kimi-cli/llms.txt\n    24\t```\n    25\t\n    26\t### Page URL Pattern\n    27\t\n    28\t- English: `https://moonshotai.github.io/kimi-cli/en/...`\n    29\t- Chinese: `https://moonshotai.github.io/kimi-cli/zh/...`\n    30\t\n    31\t### Topic Mapping\n    32\t\n    33\t| Topic | Page |\n    34\t|-------|------|\n    35\t| Installation, first run | `/en/guides/getting-started.md` |\n    36\t| Config files | `/en/configuration/config-files.md` |\n    37\t| Providers, models | `/en/configuration/providers.md` |\n    38\t| Environment variables | `/en/configuration/env-vars.md` |\n    39\t| Slash commands | `/en/reference/slash-commands.m[...truncated]
{"timestamp": 1776770369.2945871, "message": {"type": "StepBegin", "payload": {"n": 2}}}
{"timestamp": 1776770373.0926983, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user is asking about where conversation logs are stored for Kimi Code CLI. The skill suggests consulting official documentation or local source. Let me search the documentation or source for information about logging or conversation storage.\n\nI can see in the working directory there's a file `.claude/session-timestamps.log` but the user is asking about Kimi specifically, not Claude.\n\nLet me search the kimi-cli source for log paths or check if there's a local config directory.", "encrypted": null}}}
{"timestamp": 1776770373.5755491, "message": {"type": "ToolCall", "payload": {"type": "function", "id": "tool_TEjjieb74Si8wjDhvwVxpgL0", "function": {"name": "Shell", "arguments": "{\"command\": \"python -c \\\"import kimi_cli; print(kimi_cli.__file__)\\\"\"}"}, "extras": null}}}
{"timestamp": 1776770374.246446, "message": {"type": "ToolCall", "payload": {"type": "function", "id": "tool_c3bTJyfhHlczrGAlv2UnimmX", "function": {"name": "Shell", "arguments": "{\"command\": \"if ($env:APPDATA) { Join-Path $env:APPDATA \\\"kimi-cli\\\" } else { \\\"~/.config/kimi-cli\\\" }\"}"}, "extras": null}}}
{"timestamp": 1776770374.2477067, "message": {"type": "StatusUpdate", "payload": {"context_usage": 0.047550201416015625, "context_tokens": 12465, "max_context_tokens": 262144, "token_usage": {"input_other": 945, "output": 173, "input_cache_read": 11520, "input_cache_creation": 0}, "message_id": "chatcmpl-lS9OpNA68ZfLDj0q0Rp0D9X6", "plan_mode": false, "mcp_status": null}}}
{"timestamp": 1776770386.8609865, "message": {"type": "ToolResult", "payload": {"tool_call_id": "tool_TEjjieb74Si8wjDhvwVxpgL0", "return_value": {"is_error": true, "output": "Traceback (most recent call last):\r\n  File \"<string>\", line 1, in <module>\r\n    import kimi_cli; print(kimi_cli.__file__)\r\n    ^^^^^^^^^^^^^^^\r\nModuleNotFoundError: No module named 'kimi_cli'\r\n", "message": "Command failed with exit code: 1.", "display": [{"type": "brief", "text": "Failed with exit code: 1"}], "extras": null}}}}
{"timestamp": 1776770386.8975887, "message": {"type": "ToolResult", "payload": {"tool_call_id": "tool_c3bTJyfhHlczrGAlv2UnimmX", "return_value": {"is_error": false, "output": "C:\\Users\\adn\\AppData\\Roaming\\kimi-cli\r\n", "message": "Command executed successfully.", "display": [], "extras": null}}}}
{"timestamp": 1776770386.9010208, "message": {"type": "StepBegin", "payload": {"n": 3}}}
{"timestamp": 1776770391.1473808, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user is asking about where conversation logs are stored. I found a potential directory at `C:\\Users\\adn\\AppData\\Roaming\\kimi-cli`. Let me explore that directory to see what's in there, and also search the kimi-cli source code that's installed on the system for log-related paths.", "encrypted": null}}}
{"timestamp": 1776770392.0599597, "message": {"type": "ToolCall", "payload": {"type": "function", "id": "tool_2fyW5dbTAMorVrgFeeJZSPAh", "function": {"name": "Shell", "arguments": "{\"command\": \"Get-ChildItem -Path \\\"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\kimi-cli\\\" -Recurse -Force -ErrorAction SilentlyContinue | Select-Object -First 50 FullName\"}"}, "extras": null}}}
{"timestamp": 1776770392.7580254, "message": {"type": "ToolCall", "payload": {"type": "function", "id": "tool_IWdDOEKKmFgsx35IKxbmA2uT", "function": {"name": "Shell", "arguments": "{\"command\": \"Get-ChildItem -Path \\\"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\kimi-cli\\\" -Force -ErrorAction SilentlyContinue\"}"}, "extras": null}}}
{"timestamp": 1776770392.7591593, "message": {"type": "StatusUpdate", "payload": {"context_usage": 0.048679351806640625, "context_tokens": 12761, "max_context_tokens": 262144, "token_usage": {"input_other": 473, "output": 169, "input_cache_read": 12288, "input_cache_creation": 0}, "message_id": "chatcmpl-gly6tKmIO4BsTOSgM2ZR0NkZ", "plan_mode": false, "mcp_status": null}}}
{"timestamp": 1776770392.9444685, "message": {"type": "ToolResult", "payload": {"tool_call_id": "tool_IWdDOEKKmFgsx35IKxbmA2uT", "return_value": {"is_error": true, "output": "", "message": "Command failed with exit code: 1.", "display": [{"type": "brief", "text": "Failed with exit code: 1"}], "extras": null}}}}
{"timestamp": 1776770394.113937, "message": {"type": "ToolResult", "payload": {"tool_call_id": "tool_2fyW5dbTAMorVrgFeeJZSPAh", "return_value": {"is_error": false, "output": "\r\nFullName                                      \r\n--------                                      \r\nC:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\r\n\r\n\r\n", "message": "Command executed successfully.", "display": [], "extras": null}}}}
{"timestamp": 1776770394.1248538, "message": {"type": "StepBegin", "payload": {"n": 4}}}
{"timestamp": 1776770396.4398832, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user is asking about where conversation logs are stored for Kimi Code CLI. Let me search the documentation and source code for more specific information about logging paths.", "encrypted": null}}}
{"timestamp": 1776770397.035841, "message": {"type": "ToolCall", "payload": {"type": "function", "id": "tool_oEaa1XYP1fT5iiTuBq3cmoUD", "function": {"name": "FetchURL", "arguments": "{\"url\": \"https://moonshotai.github.io/kimi-cli/en/faq.md\"}"}, "extras": null}}}
{"timestamp": 1776770397.813714, "message": {"type": "ToolCall", "payload": {"type": "function", "id": "tool_lPjoGLuPThSi02RoGLoKsbxx", "function": {"name": "Grep", "arguments": "{\"pattern\": \"log|conversation|history|session\", \"path\": \"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\", \"glob\": \"*.py\", \"output_mode\": \"files_with_matches\", \"head_limit\": 20}"}, "extras": null}}}
{"timestamp": 1776770397.814808, "message": {"type": "StatusUpdate", "payload": {"context_usage": 0.0496368408203125, "context_tokens": 13012, "max_context_tokens": 262144, "token_usage": {"input_other": 468, "output": 130, "input_cache_read": 12544, "input_cache_creation": 0}, "message_id": "chatcmpl-JGK1XnozMfRSOxj7thssHw66", "plan_mode": false, "mcp_status": null}}}
{"timestamp": 1776770399.3847008, "message": {"type": "ToolResult", "payload": {"tool_call_id": "tool_lPjoGLuPThSi02RoGLoKsbxx", "return_value": {"is_error": false, "output": "Lib\\site-packages\\babel\\messages\\setuptools_frontend.py\nLib\\site-packages\\babel\\messages\\pofile.py\nLib\\site-packages\\babel\\messages\\plurals.py\nLib\\site-packages\\babel\\messages\\mofile.py\nLib\\site-packages\\babel\\messages\\frontend.py\nLib\\site-packages\\babel\\messages\\checkers.py\nLib\\site-packages\\babel\\messages\\catalog.py\nLib\\site-packages\\babel\\messages\\__init__.py\nLib\\site-packages\\win32comext\\shell\\demos\\servers\\shell_view.py\nLib\\site-packages\\win32comext\\shell\\demos\\servers\\folder_view.py\nLib\\site-packages\\win32comext\\shell\\demos\\servers\\copy_hook.py\nLib\\site-packages\\win32comext\\shell\\demos\\browse_for_folder.py\nLib\\site-packages\\win32comext\\mapi\\demos\\mapisend.py\nLib\\site-packages\\win32comext\\axscript\\test\\testHost4Dbg.py\nLib\\site-packages\\win32comext\\axdebug\\gateways.py\nLib\\site-packages\\win32comext\\axdebug\\debugger.py\nLib\\site-packages\\win32comext\\axdebug\\adb.py\nLib\\site-packages\\win32comext\\authorization\\demos\\EditServiceSecurity.py\nLib\\site-packages\\win32comext\\authorization\\demos\\EditSecurity.py\nLib\\site-packages\\win32comext\\adsi\\demos\\search.py", "message": "Results truncated to 20 lines (total: 1499). Use offset=20 to see more.", "display": [], "extras": null}}}}
... [2 more lines]

Now I have a good understanding of the Kimi session formats:

1. `user-history/<session_id>.jsonl` - Simple format with just `{"content":"..."}` lines, alternating user/assistant. No timestamps, no roles, no tool info.

2. `sessions/<work_dir_hash>/<session_id>/<subagent_id>/context.jsonl` - More detailed format with `role` field (`user`, `assistant`, `tool`, `_system_prompt`, `_checkpoint`, `_usage`), `content` (can be string or list with `think` and `text` types), and `tool_calls`.

3. `sessions/<work_dir_hash>/<session_id>/<subagent_id>/wire.jsonl` - Even more detailed with timestamps, `TurnBegin`, `TurnEnd`, `StepBegin`, `ContentPart`, `ToolCall`, `ToolResult`, `StatusUpdate`.

For the end-session workflow, the `context.jsonl` seems like the best source because it has:
- Roles
- Content (including think blocks)
- Tool calls
- Tool results

But it's more complex than Claude's format. I need to write a converter.

Let me also understand the directory structure better. The `work_dir_hash` is a hash of the work directory path. For `E:\a327ex`, it's `6bea328adb6bb5fc16327518cb85cc2c`.

Now, to port the end-session skill for Kimi, I need to:

1. **Create a script to find recent Kimi sessions** - or modify the existing `find-recent-session.py` to include Kimi
2. **Create a script to convert Kimi JSONL to markdown** - or modify the existing `jsonl-to-markdown.py` to handle Kimi format
3. **Create a new SKILL.md** for Kimi's `end-session`

Actually, looking at the user's existing setup, the scripts are in `Anchor2/scripts/` and `Anchor/scripts/`. The skill references those scripts. It makes sense to either:
- Add Kimi support to the existing scripts
- Create new Kimi-specific scripts

I think the cleanest approach is to create new Kimi-specific scripts since the formats are quite different, and the user can maintain them separately. Or better yet, add Kimi support to the existing scripts so they become truly universal.

Wait, but the user said "port it so it works on your sessions". This could mean:
1. Update the existing scripts to also handle Kimi
2. Create a separate skill for Kimi

I think updating the existing scripts to support Kimi, and then creating/updating the skill to reference them is the best approach. But I need to be careful not to break the existing Claude/Cursor functionality.

Let me think about what needs to happen:

### `find-recent-session.py` modifications:
- Add a function to iterate Kimi sessions from `~/.kimi/user-history/*.jsonl`
- Kimi sessions can be identified by their simple `{"content":"..."}` format
- Sort by file mtime since there's no embedded timestamp

### `jsonl-to-markdown.py` modifications:
- Add `is_kimi_transcript()` to detect Kimi format
- Add `convert_kimi_jsonl_to_markdown()` to convert Kimi context.jsonl to markdown

Wait, but the Kimi `context.jsonl` has internal messages like `_system_prompt`, `_checkpoint`, `_usage` that should be filtered out. And it has tool calls and results.

Let me look at the tool result format in context.jsonl more carefully.

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" -TotalCount 200 | Select-String -Pattern \"tool\" | Select-Object -First 20"
}

{
  "path": "C:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\\Lib\\site-packages\\kimi_cli\\wire\\file.py",
  "line_offset": 1,
  "n_lines": 60
}

{
  "path": "C:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\\Lib\\site-packages\\kimi_cli\\wire\\types.py",
  "line_offset": 1,
  "n_lines": 80
}

<system>Command executed successfully.</system>

{"role": "_system_prompt", "content": "You are Kimi Code CLI, an interactive general AI agent running on a user's computer.\n\nYour primary goal is to help users with software engineering tasks by taking 
action \u2014 use the tools available to you to make real changes on the user's system. You should also answer questions when asked. Always adhere strictly to the following system instructions and the user's 
requirements.\n\n\n\n# Prompt and Tool Use\n\nThe user's messages may contain questions and/or task descriptions in natural language, code snippets, logs, file paths, or other forms of information. Read 
them, understand them and do what the user requested. For simple questions/greetings that do not involve any information in the working directory or on the internet, you may simply reply directly. For 
anything else, default to taking action with tools. When the request could be interpreted as either a question to answer or a task to complete, treat it as a task.\n\nWhen handling the user's request, if it 
involves creating, modifying, or running code or files, you MUST use the appropriate tools (e.g., `WriteFile`, `Shell`) to make actual changes \u2014 do not just describe the solution in text. For questions 
that only need an explanation, you may reply in text directly. When calling tools, do not provide explanations because the tool calls themselves should be self-explanatory. You MUST follow the description of 
each tool and its parameters when calling tools.\n\nIf the `Agent` tool is available, you can use it to delegate a focused subtask to a subagent instance. The tool can either start a new instance or resume 
an existing one by `agent_id`. Subagent instances are persistent session objects with their own context history. When delegating, provide a complete prompt with all necessary context because a newly created 
subagent instance does not automatically see your current context. If an existing subagent already has useful context or the task clearly continues its prior work, prefer resuming it instead of creating a 
new instance. Default to foreground subagents. Use `run_in_background=true` only when there is a clear benefit to letting the conversation continue before the subagent finishes, and you do not need the 
result immediately to decide your next step.\n\nYou have the capability to output any number of tool calls in a single response. If you anticipate making multiple non-interfering tool calls, you are HIGHLY 
RECOMMENDED to make them in parallel to significantly improve efficiency. This is very important to your performance.\n\nThe results of the tool calls will be returned to you in a tool message. You must 
determine your next action based on the tool call results, which could be one of the following: 1. Continue working on the task, 2. Inform the user that the task is completed or has failed, or 3. Ask the 
user for more information.\n\nThe system may insert information wrapped in `<system>` tags within user or tool messages. This information provides supplementary context relevant to the current task \u2014 
take it into consideration when determining your next action.\n\nTool results and user messages may also include `

<system>60 lines read from file starting from line 1. Total lines in file: 151.</system>
     1  from __future__ import annotations
     2  
     3  import json
     4  import time
     5  from collections.abc import AsyncIterator
     6  from dataclasses import dataclass
     7  from pathlib import Path
     8  from typing import Literal
     9  
    10  import aiofiles
    11  from pydantic import BaseModel, ConfigDict, ValidationError
    12  
    13  from kimi_cli.utils.logging import logger
    14  from kimi_cli.wire.protocol import WIRE_PROTOCOL_LEGACY_VERSION, WIRE_PROTOCOL_VERSION
    15  from kimi_cli.wire.types import WireMessage, WireMessageEnvelope
    16  
    17  
    18  class WireFileMetadata(BaseModel):
    19      """Metadata header stored as the first line in wire.jsonl."""
    20  
    21      model_config = ConfigDict(extra="ignore")
    22  
    23      type: Literal["metadata"] = "metadata"
    24      protocol_version: str
    25  
    26  
    27  class WireMessageRecord(BaseModel):
    28      """The persisted record of a `WireMessage`."""
    29  
... [32 more lines]

<system>80 lines read from file starting from line 1. Total lines in file: 698.</system>
     1  from __future__ import annotations
     2  
     3  import asyncio
     4  from typing import Any, Literal, TypeGuard, cast
     5  
     6  from kosong.chat_provider import TokenUsage
     7  from kosong.message import (
     8      AudioURLPart,
     9      ContentPart,
    10      ImageURLPart,
    11      TextPart,
    12      ThinkPart,
    13      ToolCall,
    14      ToolCallPart,
    15      VideoURLPart,
    16  )
    17  from kosong.tooling import (
    18      BriefDisplayBlock,
    19      DisplayBlock,
    20      ToolResult,
    21      ToolReturnValue,
    22      UnknownDisplayBlock,
    23  )
    24  from kosong.utils.typing import JsonType
    25  from pydantic import BaseModel, Field, field_serializer, field_validator, model_validator
    26  
    27  from kimi_cli.tools.display import (
    28      BackgroundTaskDisplayBlock,
    29      DiffDisplayBlock,
... [52 more lines]

Now I have a very good understanding of the Kimi session formats. Let me analyze what I've found:

**Kimi session storage:**
1. `~/.kimi/user-history/<session_id>.jsonl` - Simple format: `{"content":"..."}` lines, alternating user/assistant. No roles, no timestamps. Just the bare conversation.
2. `~/.kimi/sessions/<work_dir_hash>/<session_id>/<subagent_id>/context.jsonl` - Full context with roles (`user`, `assistant`, `tool`, `_system_prompt`, `_checkpoint`, `_usage`), content (string or list with `think`, `text` types), and `tool_calls`.
3. `~/.kimi/sessions/<work_dir_hash>/<session_id>/<subagent_id>/wire.jsonl` - Even more detailed wire protocol with timestamps, turn/step events, tool calls, results, status updates.

For the end-session workflow, `context.jsonl` is the best source because it contains the full conversation including tool calls and results, but in a structured format.

However, there's a complication: the `context.jsonl` includes internal messages like `_system_prompt`, `_checkpoint`, `_usage` that should be filtered out. And the `user-history` file is simpler but lacks tool call detail.

Actually, looking at the existing Claude skill, it reads from the JSONL transcript and converts to markdown. For Kimi, the most useful transcript would be from `context.jsonl` since it has roles and tool calls.

But wait - the user said "reads the jsonl log for the relevant session and outputs it to Markdown on my website". The simplest approach for Kimi might be to use the `user-history/*.jsonl` file since it's flat and simple. But it lacks tool calls.

Looking at the `context.jsonl` more carefully:
- `role: "user"` with `content: "..."` or `content: [...]`
- `role: "assistant"` with `content: [...]` containing `think` and `text` parts, plus `tool_calls`
- `role: "tool"` with `content: [...]` containing tool results
- Internal roles: `_system_prompt`, `_checkpoint`, `_usage`

For a good transcript log, we want:
- User messages
- Assistant messages (without think blocks, or with them collapsed)
- Tool calls (collapsed like in the Claude script)
- Tool results (collapsed)

Now let me think about the architecture:

The user wants me to "port" the end-session skill. The skill references scripts. I should:

1. **Update `find-recent-session.py`** to also find Kimi sessions
2. **Update `jsonl-to-markdown.py`** to also convert Kimi transcripts  
3. **Create a new skill** (probably at `.kimi/skills/end-session/SKILL.md` or maybe just update the existing one to support both)

Actually, looking at the user's setup, they have `.claude/skills/end-session/`. For Kimi, skills can be in `~/.kimi/skills/` according to the kimi-cli docs. But the user might want it accessible from Kimi. Let me check if there's a `.kimi` directory in the project root.

Looking at the working directory tree, there's no `.kimi/` directory at the project root. But the user runs the skill from within the conversation. Kimi skills are loaded from `~/.kimi/skills/` or possibly from a `.kimi/skills/` in the work directory.

Actually, the user said "There's a skill for Claude that I run after each session called end-session". They probably run it by telling Claude to use the skill. For Kimi, skills are loaded from `~/.kimi/skills/` or from the work directory's `.kimi/skills/`.

Let me create:
1. A Kimi-compatible `find-recent-session.py` addition
2. A Kimi-compatible `jsonl-to-markdown.py` addition
3. A new `end-session` skill for Kimi at `~/.kimi/skills/end-session/SKILL.md`

But actually, I think the cleanest approach is to modify the existing scripts to support Kimi, and then create the skill. This way the user can use the same scripts regardless of which AI they used.

Let me think about how to detect Kimi transcripts:
- `user-history/*.jsonl`: lines are `{"content":"..."}` - no role, no timestamp
- `sessions/.../context.jsonl`: lines have `role` field, and can have `_system_prompt`, `user`, `assistant`, `tool`

For `find-recent-session.py`, I can add an `iter_kimi_jsonl()` function that looks in `~/.kimi/user-history/*.jsonl`.

For `jsonl-to-markdown.py`, I need to handle two Kimi formats:
1. The simple `user-history` format (just `{"content":"..."}`)
2. The `context.jsonl` format (with roles, tool calls, etc.)

Actually, the `user-history` is a flattened version of the conversation. For the end-session workflow, maybe the `context.jsonl` is better because it has more detail. But the `user-history` file is easier to access (flat directory, no work_dir_hash or subagent_id needed).

Hmm, but there's a problem: how do we know which `context.jsonl` corresponds to the current session? The session ID is in the `user-history` filename. And in `sessions/`, it's under `<work_dir_hash>/<session_id>/`. But there can be multiple subagent IDs under a session.

Actually, looking at the current session:
- `user-history/6bea328adb6bb5fc16327518cb85cc2c.jsonl`
- `sessions/6bea328adb6bb5fc16327518cb85cc2c/c9faf3df-d202-461a-badf-c1c416bded10/context.jsonl`

Wait, the work_dir_hash is `6bea328adb6bb5fc16327518cb85cc2c` and the session_id inside it is... let me check the state.json.

Actually, looking at the directory structure again:
- `sessions/6bea328adb6bb5fc16327518cb85cc2c/` - this is the work_dir_hash
- Inside: `c9faf3df-d202-461a-badf-c1c416bded10/` - this is a session ID
- Inside that: `context.jsonl`, `state.json`, `wire.jsonl`

And `user-history/6bea328adb6bb5fc16327518cb85cc2c.jsonl` - this matches the work_dir_hash, not the session ID. Wait, that doesn't seem right...

Actually, looking more carefully at the names:
- `user-history/6bea328adb6bb5fc16327518cb85cc2c.jsonl` 
- `sessions/6bea328adb6bb5fc16327518cb85cc2c/c9faf3df-d202-461a-badf-c1c416bded10/`

The `sessions/` dir name is `6bea328adb6bb5fc16327518cb85cc2c` which is the work_dir_hash. And `c9faf3df...` is the session ID.

But `user-history/6bea328adb6bb5fc16327518cb85cc2c.jsonl` has the work_dir_hash as its name, not the session ID. That means `user-history` files are per work directory, not per session! If there are multiple sessions in the same work directory, they might all go into the same user-history file?

Actually wait, let me re-examine. The `user-history` file only has 4 lines, which matches the current conversation. And there's only one session subdir. So maybe the user-history filename is the session ID after all, and it happens to match the work_dir_hash? Or maybe for the root agent, the session ID equals the work_dir_hash?

Let me check the state.json to see what it says.

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\state.json\" | ConvertFrom-Json | Select-Object id, work_dir, title, updated_at"
}

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" | Select-Object -First 1"
}

<system>Command executed successfully.</system>

id work_dir title updated_at
-- -------- ----- ----------
                            

<system>Command executed successfully. Output is truncated to fit in the message.</system>
{"role": "_system_prompt", "content": "You are Kimi Code CLI, an interactive general AI agent running on a user's computer.\n\nYour primary goal is to help users with software engineering tasks by taking action \u2014 use the tools available to you to make real changes on the user's system. You should also answer questions when asked. Always adhere strictly to the following system instructions and the user's requirements.\n\n\n\n# Prompt and Tool Use\n\nThe user's messages may contain questions and/or task descriptions in natural language, code snippets, logs, file paths, or other forms of information. Read them, understand them and do what the user requested. For simple questions/greetings that do not involve any information in the working directory or on the internet, you may simply reply directly. For anything else, default to taking action with tools. When the request could be interpreted as either a question to answer or a task to complete, treat it as a task.\n\nWhen handling the user's request, if it involves creating, modifying, or running code or files, you MUST use the appropriate tools (e.g., `WriteFile`, `Shell`) to make actual changes \u2014 do not just describe the solution in text. For questions that only need an explanation, you may reply in text directly. When calling tools, do not provide explanations because the tool calls themselves should be self-explanatory. You MUST follow the description of each tool and its parameters when calling tools.\n\nIf the `Agent` tool is available, you can use it to delegate a focused subtask to a subagent instance. The tool can either start a new instance or resume an existing one by `agent_id`. Subagent instances are persistent session objects with their own context history. When delegating, provide a complete prompt with all necessary context because a newly created subagent instance does not automatically see your current context. If an existing subagent already has useful context or the task cle[...truncated]

The user wants me to port the `end-session` skill from Claude to Kimi. Let me understand the situation better:

1. The `state.json` returned empty values for id, work_dir, title, updated_at. That's odd.
2. The `context.jsonl` starts with `_system_prompt`.

Let me look at the actual state.json content and also figure out the session mapping. The `user-history/6bea...` file seems to match the `sessions/6bea...` directory name. Let me check if that's the work_dir_hash or session_id.

Actually, I think I need to look at how Kimi maps sessions. The `sessions/<work_dir_hash>/<session_id>/` structure means:
- `6bea328adb6bb5fc16327518cb85cc2c` is the work_dir_hash (hash of `E:\a327ex`)
- `c9faf3df-d202-461a-badf-c1c416bded10` is the session ID

But `user-history/6bea328adb6bb5fc16327518cb85cc2c.jsonl` uses the work_dir_hash, not the session ID. This suggests `user-history` is per work directory, not per session.

Wait, but the user-history only has 4 lines for this conversation. If multiple sessions used the same work directory, would they all be in the same file? Or does Kimi overwrite it?

Let me check the state.json more carefully, and also check if there are other session subdirs.

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\state.json\""
}

{
  "command": "Get-ChildItem -Recurse \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\" | Select-Object FullName"
}

{
  "path": "C:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\\Lib\\site-packages\\kimi_cli\\metadata.py",
  "line_offset": 1,
  "n_lines": 80
}

<system>Command executed successfully.</system>
{
  "version": 1,
  "approval": {
    "yolo": false,
    "auto_approve_actions": [
      "run command"
    ]
  },
  "additional_dirs": [],
  "custom_title": "Hello, Kimi. Where are the logs for your�?�",
  "title_generated": false,
  "title_generate_attempts": 0,
  "plan_mode": false,
  "plan_session_id": null,
  "plan_slug": null,
  "wire_mtime": null,
  "archived": false,
  "archived_at": null,
  "auto_archive_exempt": false,
  "todos": []
}

<system>Command executed successfully.</system>

FullName                                                                                                       
--------                                                                                                       
C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10              
C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10\context.jsonl
C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10\state.json   
C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10\wire.jsonl   

<system>79 lines read from file starting from line 1. Total lines in file: 79. End of file reached.</system>
     1  from __future__ import annotations
     2  
     3  import json
     4  from hashlib import md5
     5  from pathlib import Path
     6  
     7  from kaos import get_current_kaos
     8  from kaos.local import local_kaos
     9  from kaos.path import KaosPath
    10  from pydantic import BaseModel, ConfigDict, Field
    11  
    12  from kimi_cli.share import get_share_dir
    13  from kimi_cli.utils.io import atomic_json_write
    14  from kimi_cli.utils.logging import logger
    15  
    16  
    17  def get_metadata_file() -> Path:
    18      return get_share_dir() / "kimi.json"
    19  
    20  
    21  class WorkDirMeta(BaseModel):
    22      """Metadata for a work directory."""
    23  
    24      path: str
    25      """The full path of the work directory."""
    26  
    27      kaos: str = local_kaos.name
    28      """The name of the KAOS where the work directory is located."""
    29  
... [51 more lines]

Now I understand the Kimi session structure much better:

1. `~/.kimi/sessions/<work_dir_hash>/<session_id>/` contains:
   - `context.jsonl` - the conversation context with roles, tool calls, etc.
   - `wire.jsonl` - detailed wire protocol logs
   - `state.json` - session state (approval settings, title, etc.)

2. `~/.kimi/user-history/<work_dir_hash>.jsonl` - simplified conversation history for the work directory. But wait, this is per work directory, not per session! If there are multiple sessions in the same work directory, they might all be appended to this file? Or maybe it's just the current/latest session?

Looking at the state.json, there's no `id` field in it - the session ID is the directory name (`c9faf3df-d202-461a-badf-c1c416bded10`).

The `user-history` file uses the `work_dir_hash` as its name (`6bea328adb6bb5fc16327518cb85cc2c.jsonl`). This is MD5 of the work directory path (`E:\a327ex`).

For the `end-session` workflow, the best transcript source is `context.jsonl` because it has:
- `role: user` / `role: assistant` / `role: tool`
- Tool calls in assistant messages
- Tool results in tool messages
- Think blocks

The challenge is mapping from a session to its `context.jsonl` file. Since there can be multiple sessions per work directory, and the user-history file is per work directory, we need to:
1. Find the most recently modified session under each work directory hash
2. Or use the `user-history` file which is simpler but lacks tool detail

Actually, looking at the user-history file again - it only has `{"content":"..."}` with no roles. How do we know which is user and which is assistant? Probably by alternating lines, starting with user.

For a proper end-session log, I think using `context.jsonl` is better. But how does the skill find the right one?

Looking at how the existing Claude skill works:
- It runs `find-recent-session.py` which finds the most recent `.jsonl` file
- It passes that path to `jsonl-to-markdown.py`

For Kimi, we can do the same:
- `find-recent-session.py` can search `~/.kimi/user-history/*.jsonl` and `~/.kimi/sessions/*/*/*/context.jsonl`
- Sort by mtime
- The most recent is the current session

For `jsonl-to-markdown.py`, we need to handle the Kimi `context.jsonl` format.

Let me now design the implementation:

### 1. Update `find-recent-session.py`

Add `iter_kimi_sessions()` that yields paths to Kimi session files. We have two options:
- `~/.kimi/user-history/*.jsonl` - simple, flat
- `~/.kimi/sessions/<hash>/<session_id>/<subagent_id>/context.jsonl` - detailed

I think we should expose both, but for the markdown conversion, `context.jsonl` is better. Actually, let me think about this more...

The `user-history` file is much simpler to find (just `~/.kimi/user-history/*.jsonl`), and it contains the conversation. But it lacks tool calls and think blocks.

The `context.jsonl` contains everything but is nested deep in the directory structure.

For the `end-session` workflow, the user probably wants the full transcript with tool calls (like the Claude version has). So I should use `context.jsonl`.

But wait - for the current conversation, the subagent running the `end-session` skill might be a subagent, not the root agent! In that case, the current session's context.jsonl would be in a subagent directory. But from what I see, there's only one directory under the work_dir_hash: `c9faf3df...`. That's probably the root agent session.

Actually, looking at the session.py code, subagents have their own directories under `subagents/`. So the root session dir is `sessions/<hash>/<session_id>/` and subagents are in `sessions/<hash>/<session_id>/subagents/<agent_id>/`.

For `end-session`, we care about the root agent's conversation.

Let me check if there are subagent dirs in the current session.

{
  "command": "Get-ChildItem -Recurse \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\" | Select-Object FullName"
}

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\user-history\\6bea328adb6bb5fc16327518cb85cc2c.jsonl\" | Measure-Object"
}

<system>Command executed successfully.</system>

FullName                                                                                                       
--------                                                                                                       
C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10\context.jsonl
C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10\state.json   
C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10\wire.jsonl   

<system>Command executed successfully.</system>


Count    : 4
Average  : 
Sum      : 
Maximum  : 
Minimum  : 
Property : 

Good - there are no subagent dirs in the current session. The user-history file has 4 lines (2 user messages, 2 assistant messages).

Now let me design the implementation. I need to:

1. **Update `find-recent-session.py`** to find Kimi sessions
2. **Update `jsonl-to-markdown.py`** to convert Kimi transcripts
3. **Create a new `end-session` skill for Kimi**

For `find-recent-session.py`:
- Add `iter_kimi_context_jsonl()` that searches `~/.kimi/sessions/*/*/*/context.jsonl`
- Detect Kimi format by checking for `role` field in lines
- Sort by file mtime (since context.jsonl doesn't have embedded timestamps in each message)
- Display with `[kimi]` marker

For `jsonl-to-markdown.py`:
- Add `is_kimi_context_transcript()` - checks if file has `role` field with values like `user`, `assistant`, `tool`, `_system_prompt`
- Add `convert_kimi_context_jsonl_to_markdown()` - converts Kimi context.jsonl to markdown
  - Filter out internal roles (`_system_prompt`, `_checkpoint`, `_usage`)
  - Handle `user` messages (content string or list)
  - Handle `assistant` messages (content list with `think`, `text`, tool_calls)
  - Handle `tool` messages (content list with tool results)
  - Format tool calls in collapsible details blocks
  - Format tool results in collapsible details blocks
  - Skip `think` blocks or put them in collapsible blocks

For the skill:
- Create at `~/.kimi/skills/end-session/SKILL.md` (or maybe the user wants it at `.kimi/skills/end-session/` in the project root)

Actually, looking at how Kimi loads skills, I should check where skills are loaded from. The user has `.claude/skills/` in the project root. For Kimi, skills might be loaded from `.kimi/skills/` in the work directory, or from `~/.kimi/skills/`.

Since the user mentioned they have a `.claude/skills/end-session/` skill, and they want to port it for Kimi, I should probably create `.kimi/skills/end-session/SKILL.md` in the project root (`E:\a327ex\.kimi\skills\end-session\SKILL.md`). But the user also has the scripts in `Anchor2/scripts/` and `Anchor/scripts/`.

Let me create the skill and update the scripts.

Actually, looking at the existing skill more carefully, it references specific script paths:
- `python E:/a327ex/Anchor2/scripts/find-recent-session.py`
- `python E:/a327ex/Anchor2/scripts/jsonl-to-markdown.py`

So the scripts are project-specific. I should update those scripts to support Kimi, and then create a new skill file that references them.

Now, for the Kimi skill location - where should it go? The user might want it in `.kimi/skills/end-session/` at the project root. But Kimi might also look in `~/.kimi/skills/`. Let me check where Kimi loads skills from.

Actually, looking at the earlier context, I saw that `kimi-cli-help` skill is at:
`C:\Users\adn\AppData\Roaming\uv\tools\kimi-cli\Lib\site-packages\kimi_cli\skills\kimi-cli-help\SKILL.md`

This is a built-in skill. User skills are probably loaded from `~/.kimi/skills/`. But the user's `.claude/skills/` is in the project root. For Kimi, the equivalent would be `.kimi/skills/` in the project root.

Let me create the skill at `E:\a327ex\.kimi\skills\end-session\SKILL.md` since that's where project-local skills would go, similar to `.claude/skills/`.

Wait, but the user might also want to keep using the same `anchor.blot.im` destination for logs. Let me design the skill to match the existing workflow but adapted for Kimi.

Here's my plan:

### Step 1: Update `find-recent-session.py`
Add Kimi session discovery.

### Step 2: Update `jsonl-to-markdown.py`
Add Kimi context.jsonl conversion.

### Step 3: Create `.kimi/skills/end-session/SKILL.md`
Adapt the Claude skill for Kimi.

Let me also check what the `context.jsonl` format looks like for tool messages, to make sure I handle them correctly.

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" | Select-Object -Skip 100 -First 40"
}

<system>Command executed successfully.</system>
{"role":"tool","content":[{"type":"text","text":"<system>Command executed successfully.</system>"},{"type":"text","text":"\r\nFullName                                                                                                       \r\n--------                                                                                                       \r\nC:\\Users\\adn\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\r\nC:\\Users\\adn\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\state.json   \r\nC:\\Users\\adn\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\wire.jsonl   \r\n\r\n\r\n"}],"tool_call_id":"tool_adZr1AD2mOAMHOSMKFBusckm"}
{"role":"tool","content":[{"type":"text","text":"<system>Command executed successfully.</system>"},{"type":"text","text":"\r\n\r\nCount    : 4\r\nAverage  : \r\nSum      : \r\nMaximum  : \r\nMinimum  : \r\nProperty : \r\n\r\n\r\n\r\n"}],"tool_call_id":"tool_OMks4co7ITACDHN1yOWLUiHY"}
{"role": "_checkpoint", "id": 18}
{"role": "_usage", "token_count": 58330}

I can see the tool message format in Kimi's context.jsonl:
```json
{"role":"tool","content":[{"type":"text","text":"<system>Command executed successfully.</system>"},{"type":"text","text":"\r\nFullName..."}],"tool_call_id":"tool_adZr1AD2mOAMHOSMKFBusckm"}
```

So tool messages have:
- `role`: "tool"
- `content`: list of `{"type":"text", "text":"..."}` parts
- `tool_call_id`: the ID matching the assistant's tool call

And assistant messages with tool calls have:
```json
{"role":"assistant","content":[{"type":"think","think":"...","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_adZr1AD2mOAMHOSMKFBusckm","function":{"name":"Shell","arguments":"{...}"}}]}
```

Now let me also check if there are assistant messages with text content (not just think blocks).

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" | Select-String '\"role\":\"assistant\"' | Select-Object -First 5"
}

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" | Select-Object -Skip 5 -First 1"
}

<system>Command executed successfully.</system>

{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored for Kimi Code CLI. This is a question about the tool itself, which falls under the 
`kimi-cli-help` skill. Let me check what that skill says about logging or conversation 
storage.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_Xh1WHoW2GrFqCIPD74CG7ZjO","function":{"name":"ReadFile","arguments":"{\"path\": 
\"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\\\\Lib\\\\site-packages\\\\kimi_cli\\\\skills\\\\kimi-cli-help\\\\SKILL.md\"}"}}]}
{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored for Kimi Code CLI. The skill suggests consulting official documentation or local source. 
Let me search the documentation or source for information about logging or conversation storage.\n\nI can see in the working directory there's a file `.claude/session-timestamps.log` but the user is asking 
about Kimi specifically, not Claude.\n\nLet me search the kimi-cli source for log paths or check if there's a local config 
directory.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_TEjjieb74Si8wjDhvwVxpgL0","function":{"name":"Shell","arguments":"{\"command\": \"python -c \\\"import kimi_cli; 
print(kimi_cli.__file__)\\\"\"}"}},{"type":"function","id":"tool_c3bTJyfhHlczrGAlv2UnimmX","function":{"name":"Shell","arguments":"{\"command\": \"if ($env:APPDATA) { Join-Path $env:APPDATA \\\"kimi-cli\\\" 
} else { \\\"~/.config/kimi-cli\\\" }\"}"}}]}
{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored. I found a potential directory at `C:\\Users\\adn\\AppData\\Roaming\\kimi-cli`. Let me 
explore that directory to see what's in there, and also search the kimi-cli source code that's installed on the system for log-related 
paths.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_2fyW5dbTAMorVrgFeeJZSPAh","function":{"name":"Shell","arguments":"{\"command\": \"Get-ChildItem -Path 
\\\"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\kimi-cli\\\" -Recurse -Force -ErrorAction SilentlyContinue | Select-Object -First 50 
FullName\"}"}},{"type":"function","id":"tool_IWdDOEKKmFgsx35IKxbmA2uT","function":{"name":"Shell","arguments":"{\"command\": \"Get-ChildItem -Path \\\"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\kimi-cli\\\" 
-Force -ErrorAction SilentlyContinue\"}"}}]}
{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored for Kimi Code CLI. Let me search the documentation and source code for more specific 
information about logging paths.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_oEaa1XYP1fT5iiTuBq3cmoUD","function":{"name":"FetchURL","arguments":"{\"url\": 
\"https://moonshotai.github.io/kimi-cli/en/faq.md\"}"}},{"type":"function","id":"tool_lPjoGLuPThSi02RoGLoKsbxx","function":{"name":"Grep","arguments":"{\"pattern\": \"log|conversation|history|session\", 
\"path\": \"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\", \"glob\": \"*.py\", \"output_mode\": \"files_with_matches\", \"head_limit\": 20}"}}]}
{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored for Kimi Code CLI. I found some relevant information. The FAQ mentions:\n\n1. For IDE 
connection issues: \"Examine error messages in `~/.kimi/logs/kimi.log`\"\n2. For MCP issues: \"Check if `~/.kimi/mcp.json` is valid JSON\"\n\nThis suggests the config directory is `~/.kimi` (on Unix) or 
likely `%USERPROFILE%\\.kimi` on Windows.\n\nLet me search for the actual source files in the kimi-cli package to find the exact log path logic, or just check if `%USERPROFILE%\\.kimi` exists on this 
system.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_m7TYlpK4eIf0ODau1xslykgJ","function":{"name":"Shell","arguments":"{\"command\": \"Get-ChildItem -Path \\\"$env:USERPROFILE\\\\.kimi\\\" 
-Force -ErrorAction SilentlyContinue | Select-Object Name\"}"}},{"type":"function","id":"tool_fzDyHq2qBOA3zZlPHGR5hU7s","function":{"name":"Grep","arguments":"{\"pattern\": 
\"logs|kimi\\\\.log|LOG_PATH|log_dir\", \"path\": \"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\\\\Lib\\\\site-packages\\\\kimi_cli\", \"glob\": \"*.py\", \"output_mode\": 
\"content\", \"head_limit\": 30}"}}]}

... [2 more lines]

<system>Command executed successfully.</system>
{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored for Kimi Code CLI. This is a question about the tool itself, which falls under the `kimi-cli-help` skill. Let me check what that skill says about logging or conversation storage.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_Xh1WHoW2GrFqCIPD74CG7ZjO","function":{"name":"ReadFile","arguments":"{\"path\": \"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\\\\Lib\\\\site-packages\\\\kimi_cli\\\\skills\\\\kimi-cli-help\\\\SKILL.md\"}"}}]}

Now I have a very good understanding of the Kimi context.jsonl format. Let me look at an assistant message that has text output (not just think + tool_calls).

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" | Select-String '\"role\":\"assistant\"' | Select-Object -Skip 10 -First 3"
}

<system>Command executed successfully.</system>

{"role":"assistant","content":[{"type":"think","think":"The user wants me to port the `end-session` skill from Claude to Kimi. Let me understand what I need to do:\n\n1. The Kimi `user-history` JSONL format 
is very simple: just `{\"content\":\"...\"}` lines alternating between user and assistant. There are no timestamps, roles, or UUIDs in that file.\n\n2. But wait - there's also a `sessions/` directory with 
session subdirs containing `context.jsonl` or other files. Let me check the session format more carefully, because that might have more structure (tool calls, etc.).\n\nLet me read the session context file 
to see if it has more detailed transcript data.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_dHmJi9UrCYDv27LIykBcHMyH","function":{"name":"Shell","arguments":"{\"command\": \"Get-ChildItem 
-Recurse \\\"$env:USERPROFILE\\\\.kimi\\\\sessions\\\\6bea328adb6bb5fc16327518cb85cc2c\\\" | Select-Object FullName, 
Length\"}"}},{"type":"function","id":"tool_RNYmDiVJHR4UIIU4rGzrU2i9","function":{"name":"ReadFile","arguments":"{\"path\": 
\"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\\\\Lib\\\\site-packages\\\\kimi_cli\\\\session.py\", \"line_offset\": 1, \"n_lines\": 80}"}}]}
{"role":"assistant","content":[{"type":"think","think":"The user wants me to port the `end-session` skill from Claude to Kimi. Let me understand what I need to do:\n\n1. The Kimi session data is stored in:\n 
  - `%USERPROFILE%\\.kimi\\sessions\\<work_dir_hash>\\<session_id>\\<subagent_id>\\context.jsonl` - this seems to have role information\n   - `%USERPROFILE%\\.kimi\\user-history\\<session_id>.jsonl` - 
simplified history with just content\n\n2. Looking at the session structure:\n   - `sessions/` is organized by work directory hash, then session ID, then subagent ID\n   - Each subagent has `context.jsonl`, 
`state.json`, `wire.jsonl`\n\n3. The `context.jsonl` seems to have `role` fields based on the `is_empty()` method checking `json.loads(line).get(\"role\")`.\n\n4. The `user-history/` files are simpler - just 
`{\"content\":\"...\"}`.\n\nFor the end-session workflow, I need the full transcript with tool calls. The `context.jsonl` or `wire.jsonl` might have that. Let me check those formats.\n\nBut wait - the user 
wants to run this AT THE END of a session. So the current session's data should be accessible. The question is: which file contains the most complete transcript?\n\nLet me look at the `context.jsonl` and 
`wire.jsonl` formats.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_zyfkrkMNgeGckFfhbakzJuqH","function":{"name":"Shell","arguments":"{\"command\": \"Get-Content 
\\\"$env:USERPROFILE\\\\.kimi\\\\sessions\\\\6bea328adb6bb5fc16327518cb85cc2c\\\\c9faf3df-d202-461a-badf-c1c416bded10\\\\context.jsonl\\\" -TotalCount 
30\"}"}},{"type":"function","id":"tool_jABBGo9Nl2GIeK6aoZ7uAZbT","function":{"name":"Shell","arguments":"{\"command\": \"Get-Content 
\\\"$env:USERPROFILE\\\\.kimi\\\\sessions\\\\6bea328adb6bb5fc16327518cb85cc2c\\\\c9faf3df-d202-461a-badf-c1c416bded10\\\\wire.jsonl\\\" -TotalCount 30\"}"}}]}
{"role":"assistant","content":[{"type":"think","think":"Now I have a good understanding of the Kimi session formats:\n\n1. `user-history/<session_id>.jsonl` - Simple format with just `{\"content\":\"...\"}` 
lines, alternating user/assistant. No timestamps, no roles, no tool info.\n\n2. `sessions/<work_dir_hash>/<session_id>/<subagent_id>/context.jsonl` - More detailed format with `role` field (`user`, 
`assistant`, `tool`, `_system_prompt`, `_checkpoint`, `_usage`), `content` (can be string or list with `think` and `text` types), and `tool_calls`.\n\n3. 
`sessions/<work_dir_hash>/<session_id>/<subagent_id>/wire.jsonl` - Even more detailed with timestamps, `TurnBegin`, `TurnEnd`, `StepBegin`, `ContentPart`, `ToolCall`, `ToolResult`, `StatusUpdate`.\n\nFor the 
end-session workflow, the `context.jsonl` seems like the best source because it has:\n- Roles\n- Content (including think blocks)\n- Tool calls\n- Tool results\n\nBut it's more complex than Claude's format. 
I need to write a converter.\n\nLet me also understand the directory structure better. The `work_dir_hash` is a hash of the work directory path. For `E:\\a327ex`, it's 
`6bea328adb6bb5fc16327518cb85cc2c`.\n\nNow, to port the end-session skill for Kimi, I need to:\n\n1. **Create a script to find recent Kimi sessions** - or modify the existing `find-recent-session.py` to 
include Kimi\n2. **Create a script to convert Kimi JSONL to markdown** - or modify the existing `jsonl-to-markdown.py` to handle Kimi format\n3. **Create a new SKILL.md** for Kimi's 
`end-session`\n\nActually, looking at the user's existing setup, the scripts are in `Anchor2/scripts/` and `Anchor/scripts/`. The skill references those scripts. It makes sense to either:\n- Add Kimi support 
to the existing scripts\n- Create new Kimi-specific scripts\n\nI think the cleanest approach is to create new Kimi-specific scripts since the formats are quite different, and the user can maintain them 
separately. Or better yet, add Kimi support to the existing scripts so they become truly universal.\n\nWait, but the user said \"port it so it works on your sessions\". This could mean:\n1. Update the 
... [14 more lines]

I notice that all assistant messages in this session seem to only have `think` blocks and `tool_calls` - no actual `text` output in the content list. That's because I'm a thinking model, and the final text response is generated separately or the text is outside the context.jsonl?

Wait, let me check if there are assistant messages with `type: text` in the content.

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" | Select-String '\"type\":\"text\"' | Select-Object -First 10"
}

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" | Select-Object -Skip 3 -First 1"
}

<system>Command executed successfully.</system>

{"role":"tool","content":[{"type":"text","text":"<system>55 lines read from file starting from line 1. Total lines in file: 55. End of file reached.</system>"},{"type":"text","text":"     1\t---\n     
2\tname: kimi-cli-help\n     3\tdescription: Answer Kimi Code CLI usage, configuration, and troubleshooting questions. Use when user asks about Kimi Code CLI installation, setup, configuration, slash 
commands, keyboard shortcuts, MCP integration, providers, environment variables, how something works internally, or any questions about Kimi Code CLI itself.\n     4\t---\n     5\t\n     6\t# Kimi Code CLI 
Help\n     7\t\n     8\tHelp users with Kimi Code CLI questions by consulting documentation and source code.\n     9\t\n    10\t## Strategy\n    11\t\n    12\t1. **Prefer official documentation** for most 
questions\n    13\t2. **Read local source** when in kimi-cli project itself, or when user is developing with kimi-cli as a library (e.g., importing from `kimi_cli` in their code)\n    14\t3. **Clone and 
explore source** for complex internals not covered in docs - **ask user for confirmation first**\n    15\t\n    16\t## Documentation\n    17\t\n    18\tBase URL: `https://moonshotai.github.io/kimi-cli/`\n    
19\t\n    20\tFetch documentation index to find relevant pages:\n    21\t\n    22\t```\n    23\thttps://moonshotai.github.io/kimi-cli/llms.txt\n    24\t```\n    25\t\n    26\t### Page URL Pattern\n    27\t\n 
   28\t- English: `https://moonshotai.github.io/kimi-cli/en/...`\n    29\t- Chinese: `https://moonshotai.github.io/kimi-cli/zh/...`\n    30\t\n    31\t### Topic Mapping\n    32\t\n    33\t| Topic | Page |\n  
  34\t|-------|------|\n    35\t| Installation, first run | `/en/guides/getting-started.md` |\n    36\t| Config files | `/en/configuration/config-files.md` |\n    37\t| Providers, models | 
`/en/configuration/providers.md` |\n    38\t| Environment variables | `/en/configuration/env-vars.md` |\n    39\t| Slash commands | `/en/reference/slash-commands.md` |\n    40\t| CLI flags | 
`/en/reference/kimi-command.md` |\n    41\t| Keyboard shortcuts | `/en/reference/keyboard.md` |\n    42\t| MCP | `/en/customization/mcp.md` |\n    43\t| Agents | `/en/customization/agents.md` |\n    44\t| 
Skills | `/en/customization/skills.md` |\n    45\t| FAQ | `/en/faq.md` |\n    46\t\n    47\t## Source Code\n    48\t\n    49\tRepository: `https://github.com/MoonshotAI/kimi-cli`\n    50\t\n    51\tWhen to 
read source:\n    52\t\n    53\t- In kimi-cli project directory (check `pyproject.toml` for `name = \"kimi-cli\"`)\n    54\t- User is importing `kimi_cli` as a library in their project\n    55\t- Question 
about internals not covered in docs (ask user before cloning)\n"}],"tool_call_id":"tool_Xh1WHoW2GrFqCIPD74CG7ZjO"}
{"role":"tool","content":[{"type":"text","text":"<system>ERROR: Command failed with exit code: 1.</system>"},{"type":"text","text":"Traceback (most recent call last):\r\n  File \"<string>\", line 1, in 
<module>\r\n    import kimi_cli; print(kimi_cli.__file__)\r\n    ^^^^^^^^^^^^^^^\r\nModuleNotFoundError: No module named 'kimi_cli'\r\n"}],"tool_call_id":"tool_TEjjieb74Si8wjDhvwVxpgL0"}
{"role":"tool","content":[{"type":"text","text":"<system>Command executed 
successfully.</system>"},{"type":"text","text":"C:\\Users\\adn\\AppData\\Roaming\\kimi-cli\r\n"}],"tool_call_id":"tool_c3bTJyfhHlczrGAlv2UnimmX"}
{"role":"tool","content":[{"type":"text","text":"<system>Command executed successfully.</system>"},{"type":"text","text":"\r\nFullName                                      \r\n--------                        
              \r\nC:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\r\n\r\n\r\n"}],"tool_call_id":"tool_2fyW5dbTAMorVrgFeeJZSPAh"}
{"role":"tool","content":[{"type":"text","text":"<system>The returned content is the main content extracted from the page.</system>"},{"type":"text","text":"````\n---\nurl: /kimi-cli/en/faq.md\n---\n# 
FAQ\n\n## Installation and authentication\n\n### Empty model list during `/login`\n\nIf you see \"No models available for the selected platform\" error when running the `/login` (or `/setup`) command, it may 
be due to:\n\n* **Invalid or expired API key**: Check if your API key is correct and still valid.\n* **Network connection issues**: Confirm you can access the API service addresses (such as `api.kimi.com` or 
`api.moonshot.cn`).\n\n### Invalid API key\n\nPossible reasons for an invalid API key:\n\n* **Key input error**: Check for extra spaces or missing characters.\n* **Key expired or revoked**: Confirm the key 
status in the platform console.\n* **Environment variable override**: Check if `KIMI_API_KEY` or `OPENAI_API_KEY` environment variables are overriding the key in the config file. You can run `echo 
$KIMI_API_KEY` to check.\n\n### Membership expired or quota exhausted\n\nIf you're using the Kimi Code platform, you can check your current quota and membership status with the `/usage` command. If the quota 
is exhausted or membership expired, you need to renew or upgrade at [Kimi Code](https://kimi.com/coding).\n\n## Interaction issues\n\n### `cd` command doesn't work in shell mode\n\nExecuting the `cd` command 
in shell mode won't change Kimi Code CLI's working directory. This is because each shell command executes in an independent subprocess, and directory changes only take effect within that process.\n\nIf you 
... [41 more lines]

<system>Command executed successfully.</system>
{"role": "_checkpoint", "id": 1}

Now I have a good understanding. The `context.jsonl` contains:
- `role: "user"` with `content: "..."` (string)
- `role: "assistant"` with `content: [{"type":"think","think":"..."}]` and `tool_calls: [...]`
- `role: "tool"` with `content: [{"type":"text","text":"..."}]` and `tool_call_id: "..."`
- Internal roles: `_system_prompt`, `_checkpoint`, `_usage`

But I notice there are NO `type: "text"` content parts in assistant messages - only `think` blocks. That's because this is a thinking model and the actual response text might not be in the context.jsonl? Or maybe it's stored differently.

Wait, actually the user sees my text responses. Where are they stored? Maybe in the `user-history` file? Let me check...

The `user-history` file has just:
```
{"content":"Hello, Kimi. Where are the logs for your conversations stored?"}
{"content":"/login"}
{"content":"Hello, Kimi. Where are the logs for your conversations stored?"}
{"content":"There's a skill for Claude that I run after each session called end-session, which reads the jsonl log for the relevant session and outputs it to Markdown on my website. Could you read that skill and port it so it works on your sessions?"}
```

It only has 4 lines. But the conversation has many more turns than that! So either:
1. The user-history is updated at the end of the session
2. Or it's truncated somehow

Wait, looking again: there are 2 user messages ("Hello..." and "There's a skill..."), and 2 assistant messages (the `/login` and... wait, `/login` is not an assistant message. Oh! The second line `{"content":"/login"}` must be the assistant's first response? No, that doesn't make sense.

Actually, looking at the conversation flow:
1. User: "Hello, Kimi. Where are the logs for your conversations stored?"
2. Assistant: explains where logs are
3. User: "There's a skill for Claude..."
4. Assistant: this current message

But user-history only has 4 lines. And one of them is `/login`? That doesn't match at all.

Wait, maybe the user-history file is from a DIFFERENT session? The filename matches the work_dir_hash, and maybe it accumulates across sessions? Or maybe `/login` was the first thing the user did when starting Kimi?

Actually, looking at the first line of user-history: `{"content":"/login"}` - that's probably the very first command the user ran in Kimi. Then `{"content":"Hello, Kimi. Where are the logs..."}` is the next user message. So the user-history might be:
1. User: `/login`
2. Assistant: (something)
3. User: "Hello, Kimi..."
4. Assistant: (something)
5. User: "There's a skill..."

But there are only 4 lines. And line 2 is the user message "Hello...", line 3 is also "Hello..."? That's weird - there are duplicate user messages.

Wait, I think what's happening is:
- `user-history` only stores user messages! Not assistant messages!
- Or maybe it stores both but in a different order

Actually, re-reading the file:
1. `{"content":"Hello, Kimi. Where are the logs for your conversations stored?"}` - this is the first user message in THIS conversation
2. `{"content":"/login"}` - this might be from a previous session or command
3. `{"content":"Hello, Kimi. Where are the logs for your conversations stored?"}` - duplicate?
4. `{"content":"There's a skill for Claude..."}` - the second user message in THIS conversation

Hmm, this is confusing. The user-history might not be what I think it is. Let me not rely on it.

For the end-session workflow, `context.jsonl` is definitely the right source. But we need to handle the fact that assistant text responses might not be in `context.jsonl` for thinking models.

Wait, actually, looking at the `wire.jsonl`, it has `ContentPart` messages with type `text`. Let me check if `wire.jsonl` has the assistant's actual text responses.

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\wire.jsonl\" | Select-String '\"type\": \"ContentPart\"' | Select-Object -First 5"
}

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\wire.jsonl\" | Select-Object -Skip 30 -First 10"
}

<system>Command executed successfully.</system>

{"timestamp": 1776770369.179541, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user is asking about where conversation logs are stored for Kimi Code CLI. This is a question 
about the tool itself, which falls under the `kimi-cli-help` skill. Let me check what that skill says about logging or conversation storage.", "encrypted": null}}}
{"timestamp": 1776770373.0926983, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user is asking about where conversation logs are stored for Kimi Code CLI. The skill suggests 
consulting official documentation or local source. Let me search the documentation or source for information about logging or conversation storage.\n\nI can see in the working directory there's a file 
`.claude/session-timestamps.log` but the user is asking about Kimi specifically, not Claude.\n\nLet me search the kimi-cli source for log paths or check if there's a local config directory.", "encrypted": 
null}}}
{"timestamp": 1776770391.1473808, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user is asking about where conversation logs are stored. I found a potential directory at 
`C:\\Users\\adn\\AppData\\Roaming\\kimi-cli`. Let me explore that directory to see what's in there, and also search the kimi-cli source code that's installed on the system for log-related paths.", 
"encrypted": null}}}
{"timestamp": 1776770396.4398832, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user is asking about where conversation logs are stored for Kimi Code CLI. Let me search the 
documentation and source code for more specific information about logging paths.", "encrypted": null}}}
{"timestamp": 1776770409.694058, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user is asking about where conversation logs are stored for Kimi Code CLI. I found some relevant 
information. The FAQ mentions:\n\n1. For IDE connection issues: \"Examine error messages in `~/.kimi/logs/kimi.log`\"\n2. For MCP issues: \"Check if `~/.kimi/mcp.json` is valid JSON\"\n\nThis suggests the 
config directory is `~/.kimi` (on Unix) or likely `%USERPROFILE%\\.kimi` on Windows.\n\nLet me search for the actual source files in the kimi-cli package to find the exact log path logic, or just check if 
`%USERPROFILE%\\.kimi` exists on this system.", "encrypted": null}}}

<system>Command executed successfully.</system>
{"timestamp": 1776770404.1878521, "message": {"type": "StepBegin", "payload": {"n": 5}}}
{"timestamp": 1776770409.694058, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user is asking about where conversation logs are stored for Kimi Code CLI. I found some relevant information. The FAQ mentions:\n\n1. For IDE connection issues: \"Examine error messages in `~/.kimi/logs/kimi.log`\"\n2. For MCP issues: \"Check if `~/.kimi/mcp.json` is valid JSON\"\n\nThis suggests the config directory is `~/.kimi` (on Unix) or likely `%USERPROFILE%\\.kimi` on Windows.\n\nLet me search for the actual source files in the kimi-cli package to find the exact log path logic, or just check if `%USERPROFILE%\\.kimi` exists on this system.", "encrypted": null}}}
{"timestamp": 1776770410.4705029, "message": {"type": "ToolCall", "payload": {"type": "function", "id": "tool_m7TYlpK4eIf0ODau1xslykgJ", "function": {"name": "Shell", "arguments": "{\"command\": \"Get-ChildItem -Path \\\"$env:USERPROFILE\\\\.kimi\\\" -Force -ErrorAction SilentlyContinue | Select-Object Name\"}"}, "extras": null}}}
{"timestamp": 1776770410.6817334, "message": {"type": "ToolCall", "payload": {"type": "function", "id": "tool_fzDyHq2qBOA3zZlPHGR5hU7s", "function": {"name": "Grep", "arguments": "{\"pattern\":"}, "extras": null}}}
{"timestamp": 1776770410.692085, "message": {"type": "ToolResult", "payload": {"tool_call_id": "tool_m7TYlpK4eIf0ODau1xslykgJ", "return_value": {"is_error": false, "output": "\r\nName        \r\n----        \r\nbin         \r\ncredentials \r\nlogs        \r\nsessions    \r\nuser-history\r\nconfig.toml \r\ndevice_id   \r\nkimi.json   \r\n\r\n\r\n", "message": "Command executed successfully.", "display": [], "extras": null}}}}
{"timestamp": 1776770411.6800783, "message": {"type": "ToolCallPart", "payload": {"arguments_part": " \"logs|kimi\\\\.log|LOG_PATH|log_dir\", \"path\": \"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\\\\Lib\\\\site-packages\\\\kimi_cli\", \"glob\": \"*.py\", \"output_mode\": \"content\", \"head_limit\": 30}"}}}
{"timestamp": 1776770411.6819208, "message": {"type": "StatusUpdate", "payload": {"context_usage": 0.05689239501953125, "context_tokens": 14914, "max_context_tokens": 262144, "token_usage": {"input_other": 2114, "output": 262, "input_cache_read": 12800, "input_cache_creation": 0}, "message_id": "chatcmpl-0XUKIUhJTzVxFIyl2VnsMyHA", "plan_mode": false, "mcp_status": null}}}
{"timestamp": 1776770411.6986868, "message": {"type": "ToolResult", "payload": {"tool_call_id": "tool_fzDyHq2qBOA3zZlPHGR5hU7s", "return_value": {"is_error": false, "output": "app.py:58:        get_share_dir() / \"logs\" / \"kimi.log\",\napp.py:373:                # ``kimi.log`` because ``redirect_stderr_to_logger`` has\ncli\\export.py:139:    log_dir = get_share_dir() / \"logs\"\ncli\\export.py:140:    if not log_dir.is_dir():\ncli\\export.py:155:    for f in log_dir.iterdir():\ncli\\export.py:309:                zf.write(log_path, arcname=f\"logs/{log_path.name}\")\ncli\\export.py:318:            \"\\nNote: This archive includes recent diagnostic logs that may contain \"\ncli\\__init__.py:385:    # MCP server stderr noise is captured into logs from the start.\ncli\\__init__.py:599:            # subprocesses (e.g. mcp-remote OAuth debug logs) write to the log\ncli\\__init__.py:639:            # stderr noise is captured into logs without hiding startup failures.\ncli\\__init__.py:854:            log_path = get_share_dir() / \"logs\" / \"kimi.log\"\ncli\\__init__.py:855:            # In non-debug mode, print a concise error and point users to logs.\ncli\\__init__.py:858:                f\"See logs: {log_path}\\n\"\nui\\print\\__init__.py:296:                            # silently land in ``kimi.log``.  Use the\nutils\\file_filter.py:63:        \"bazel-testlogs\",\nutils\\path.py:36:    for rotating *files* (like history logs) but **not** directory creation.", "message": "", "display": [], "extras": null}}}}
{"timestamp": 1776770411.7138195, "message": {"type": "StepBegin", "payload": {"n": 6}}}
{"timestamp": 1776770417.0680494, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user is asking about where conversation logs are stored for Kimi Code CLI. I found very useful information:\n\n1. From the FAQ: `~/.kimi/logs/kimi.log` is mentioned for IDE connection issues.\n2. From the source code grep: `get_share_dir() / \"logs\" / \"kimi.log\"` is the log path.\n3. From the shell command: `%USERPROFILE%\\.kimi` exists with subdirectories including `logs` and `sessions`.\n\nSo on this Windows system, the logs are stored in `C:\\Users\\adn\\.kimi\\logs\\kimi.log`. There are also `sessions` and `user-history` directories which might contain conversation history.\n\nLet me check what's in the logs and sessions directories to give a more complete answer.", "encrypted": null}}}

I can see the wire.jsonl has `ContentPart` with `type: "think"` but I need to see if there are `type: "text"` parts for the assistant's actual response text. Let me search more specifically.

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\wire.jsonl\" | Select-String '\"type\": \"ContentPart\"' | Select-String '\"type\": \"text\"' | Select-Object -First 5"
}

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\wire.jsonl\" | Select-Object -Skip 80 -First 10"
}

<system>Command executed successfully.</system>

{"timestamp": 1776770430.1029427, "message": {"type": "ContentPart", "payload": {"type": "text", "text": "For **Kimi Code CLI**, logs and conversation data are stored in the **`.kimi` directory** under your 
user home folder.\n\nOn this Windows system, that is:\n\n| What | Path |\n|------|------|\n| **Main diagnostic log** | `C:\\Users\\adn\\.kimi\\logs\\kimi.log` |\n| **Conversation history** | 
`C:\\Users\\adn\\.kimi\\user-history\\` (`.jsonl` files) |\n| **Session data** | `C:\\Users\\adn\\.kimi\\sessions\\` |\n\nOn macOS/Linux, the equivalent paths would be:\n- `~/.kimi/logs/kimi.log`\n- 
`~/.kimi/user-history/`\n- `~/.kimi/sessions/`\n\nThe `kimi.log` file is mostly for diagnostic output and errors. The actual conversation history is stored as `.jsonl` files in the `user-history` directory, 
keyed by session ID."}}}

<system>Command executed successfully. Output is truncated to fit in the message.</system>
{"timestamp": 1776770522.5652096, "message": {"type": "StatusUpdate", "payload": {"context_usage": 0.10315704345703125, "context_tokens": 27042, "max_context_tokens": 262144, "token_usage": {"input_other": 8098, "output": 938, "input_cache_read": 18944, "input_cache_creation": 0}, "message_id": "chatcmpl-YTxamU3Jrmi27DCRLs6nozst", "plan_mode": false, "mcp_status": null}}}
{"timestamp": 1776770522.578277, "message": {"type": "ToolResult", "payload": {"tool_call_id": "tool_CglpYR4i4TRqb7eYF2CF7qK3", "return_value": {"is_error": false, "output": "app.py:23:from kimi_cli.share import get_share_dir\napp.py:58:        get_share_dir() / \"logs\" / \"kimi.log\",\napp.py:221:        # determine plan mode (only for new sessions, not restored)\napp.py:290:        # Activate plan mode if requested (for new sessions or --plan flag)\nconfig.py:22:from kimi_cli.share import get_share_dir\nconfig.py:198:    default_plan_mode: bool = Field(default=False, description=\"Default plan mode for new sessions\")\nconfig.py:251:    return get_share_dir() / \"config.toml\"\nconfig.py:375:    old_json_config_file = get_share_dir() / \"config.json\"\nconfig.py:376:    new_toml_config_file = get_share_dir() / \"config.toml\"\nsession.py:51:        path = self.work_dir_meta.sessions_dir / self.id\nsession.py:101:        session_dir = self.work_dir_meta.sessions_dir / self.id\nsession.py:146:        session_dir = work_dir_meta.sessions_dir / session_id\nsession.py:201:        session_dir = work_dir_meta.sessions_dir / session_id\nsession.py:228:        \"\"\"List all sessions for a work directory.\"\"\"\nsession.py:230:        logger.debug(\"Listing sessions for work directory: {work_dir}\", work_dir=work_dir)\nsession.py:240:            for path in work_dir_meta.sessions_dir.iterdir()\nsession.py:244:        sessions: list[Session] = []\nsession.py:247:            session_dir = work_dir_meta.sessions_dir / session_id\nsession.py:273:            sessions.append(session)\nsession.py:274:        sessions.sort(key=lambda session: session.updated_at, reverse=True)\nsession.py:275:        return sessions\nsession.py:279:        \"\"\"List sessions across all known work directories.\"\"\"\nsession.py:280:        all_sessions: list[Session] = []\nsession.py:282:            sessions = await cls.list(KaosPath.unsafe_from_local_path(Path(wd.path)))\nsession.[...truncated]
{"timestamp": 1776770522.5894084, "message": {"type": "StepBegin", "payload": {"n": 4}}}
{"timestamp": 1776770527.9623156, "message": {"type": "ContentPart", "payload": {"type": "think", "think": "The user wants me to port the `end-session` skill from Claude to Kimi. Let me understand what I need to do:\n\n1. The Kimi `user-history` JSONL format is very simple: just `{\"content\":\"...\"}` lines alternating between user and assistant. There are no timestamps, roles, or UUIDs in that file.\n\n2. But wait - there's also a `sessions/` directory with session subdirs containing `context.jsonl` or other files. Let me check the session format more carefully, because that might have more structure (tool calls, etc.).\n\nLet me read the session context file to see if it has more detailed transcript data.", "encrypted": null}}}
{"timestamp": 1776770528.990405, "message": {"type": "ToolCall", "payload": {"type": "function", "id": "tool_dHmJi9UrCYDv27LIykBcHMyH", "function": {"name": "Shell", "arguments": "{\"command\": \"Get-ChildItem -Recurse \\\"$env:USERPROFILE\\\\.kimi\\\\sessions\\\\6bea328adb6bb5fc16327518cb85cc2c\\\" | Select-Object FullName, Length\"}"}, "extras": null}}}
{"timestamp": 1776770529.215438, "message": {"type": "ToolCall", "payload": {"type": "function", "id": "tool_RNYmDiVJHR4UIIU4rGzrU2i9", "function": {"name": "ReadFile", "arguments": "{\"path\":"}, "extras": null}}}
{"timestamp": 1776770529.238679, "message": {"type": "ToolResult", "payload": {"tool_call_id": "tool_dHmJi9UrCYDv27LIykBcHMyH", "return_value": {"is_error": false, "output": "\r\nFullName                                                                                                        Length\r\n--------                                                                                                        ------\r\nC:\\Users\\adn\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10                     \r\nC:\\Users\\adn\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl 96652 \r\nC:\\Users\\adn\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\state.json    467   \r\nC:\\Users\\adn\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\wire.jsonl    84862 \r\n\r\n\r\n", "message": "Command executed successfully.", "display": [], "extras": null}}}}
{"timestamp": 1776770529.8873277, "message": {"type": "ToolCallPart", "payload": {"arguments_part": " \"C:\\\\Users\\\\adn\\\\AppData\\\\Roaming\\\\uv\\\\tools\\\\kimi-cli\\\\Lib\\\\site-packages\\\\kimi_cli\\\\session.py\", \"line_offset\": 1, \"n_lines\": 80}"}}}
{"timestamp": 1776770529.8885326, "message": {"type": "StatusUpdate", "payload": {"context_usage": 0.11031723022460938, "context_tokens": 28919, "max_context_tokens": 262144, "token_usage": {"input_other": 2039, "output": 254, "input_cache_read": 26880, "input_cache_creation": 0}, "message_id": "chatcmpl-T3deFXRgzbrPjTFMbS6CBqfo", "plan_mode": false, "mcp_status": null}}}
{"timestamp": 1776770529.9226406, "message": {"type": "ToolResult", "payload": {"tool_call_id": "tool_RNYmDiVJHR4UIIU4rGzrU2i9", "return_value": {"is_error": false, "output": "     1\tfrom __future__ import annotations\n     2\t\n     3\timport asyncio\n     4\timport builtins\n     5\timport json\n     6\timport shutil\n     7\timport uuid\n     8\tfrom dataclasses import dataclass\n     9\tfrom pathlib import Path\n    10\t\n    11\tfrom kaos.path import KaosPath\n    12\tfrom kosong.message import Message\n    13\t\n    14\tfrom kimi_cli.metadata import WorkDirMeta, load_metadata, save_metadata\n    15\tfrom kimi_cli.session_state import SessionState, load_session_state, save_session_state\n    16\tfrom kimi_cli.utils.logging import logger\n    17\tfrom kimi_cli.utils.string import shorten\n    18\tfrom kimi_cli.wire.file import WireFile\n    19\tfrom kimi_cli.wire.types import TurnBegin\n    20\t\n    21\t\n    22\t@dataclass(slots=True, kw_only=True)\n    23\tclass Session:\n    24\t    \"\"\"A session of a work directory.\"\"\"\n    25\t\n    26\t    # static metadata\n    27\t    id: str\n    28\t    \"\"\"The session ID.\"\"\"\n    29\t    work_dir: KaosPath\n    30\t    \"\"\"The absolute path of the work directory.\"\"\"\n    31\t    work_dir_meta: WorkDirMeta\n    32\t    \"\"\"The metadata of the work directory.\"\"\"\n    33\t    context_file: Path\n    34\t    \"\"\"The absolute path to the file storing the message history.\"\"\"\n    35\t    wire_file: WireFile\n    36\t    \"\"\"The wire message log file wrapper.\"\"\"\n    37\t\n    38\t    # session state\n    39\t    state: SessionState\n    40\t    \"\"\"Persisted session state (approval settings, plan mode, workspace scope, etc.).\"\"\"\n    41\t\n    42\t    # refreshable metadata\n    43\t    title: str\n    44\t    \"\"\"The title of the session.\"\"\"\n    45\t    updated_at: float\n    46\t    \"\"\"The timestamp of the last update to the session.\"\"\"\n    47\t\n    48\t  [...truncated]

Now I can see that `wire.jsonl` DOES contain `ContentPart` with `type: "text"` which has the assistant's actual response text. So `wire.jsonl` has the complete transcript including:
- `TurnBegin` with user input
- `StepBegin`
- `ContentPart` with `think` blocks
- `ToolCall`
- `ToolResult`
- `ContentPart` with `text` blocks (the actual response)
- `StatusUpdate`
- `TurnEnd`

So `wire.jsonl` is the most complete source. But it's also the most complex to parse because it's event-based rather than message-based.

For the end-session workflow, I think `context.jsonl` is still the better choice because:
1. It's message-based (like Claude's format)
2. It has roles, tool calls, tool results
3. It's easier to convert to markdown

The only issue is that for thinking models, the assistant's `text` responses might not be in `context.jsonl`. But wait - let me check if `context.jsonl` has text content parts in any assistant message...

From what I've seen, assistant messages in `context.jsonl` only have `think` blocks and `tool_calls`. The actual text response might be added later or might be in a separate message.

Actually, looking more carefully at the `context.jsonl` format, I think assistant messages with text output DO exist but might not have shown up in my searches because this particular session is still in progress and the current assistant turn hasn't completed yet.

Let me check a COMPLETED assistant message - one from earlier in the conversation.

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" | Select-String '\"role\":\"assistant\"' | Select-Object -Skip 20 -First 5"
}

<system>Command executed successfully.</system>

{"role":"assistant","content":[{"type":"think","think":"Now I have a good understanding. The `context.jsonl` contains:\n- `role: \"user\"` with `content: \"...\"` (string)\n- `role: \"assistant\"` with 
`content: [{\"type\":\"think\",\"think\":\"...\"}]` and `tool_calls: [...]`\n- `role: \"tool\"` with `content: [{\"type\":\"text\",\"text\":\"...\"}]` and `tool_call_id: \"...\"`\n- Internal roles: 
`_system_prompt`, `_checkpoint`, `_usage`\n\nBut I notice there are NO `type: \"text\"` content parts in assistant messages - only `think` blocks. That's because this is a thinking model and the actual 
response text might not be in the context.jsonl? Or maybe it's stored differently.\n\nWait, actually the user sees my text responses. Where are they stored? Maybe in the `user-history` file? Let me 
check...\n\nThe `user-history` file has just:\n```\n{\"content\":\"Hello, Kimi. Where are the logs for your conversations stored?\"}\n{\"content\":\"/login\"}\n{\"content\":\"Hello, Kimi. Where are the logs 
for your conversations stored?\"}\n{\"content\":\"There's a skill for Claude that I run after each session called end-session, which reads the jsonl log for the relevant session and outputs it to Markdown on 
my website. Could you read that skill and port it so it works on your sessions?\"}\n```\n\nIt only has 4 lines. But the conversation has many more turns than that! So either:\n1. The user-history is updated 
at the end of the session\n2. Or it's truncated somehow\n\nWait, looking again: there are 2 user messages (\"Hello...\" and \"There's a skill...\"), and 2 assistant messages (the `/login` and... wait, 
`/login` is not an assistant message. Oh! The second line `{\"content\":\"/login\"}` must be the assistant's first response? No, that doesn't make sense.\n\nActually, looking at the conversation flow:\n1. 
User: \"Hello, Kimi. Where are the logs for your conversations stored?\"\n2. Assistant: explains where logs are\n3. User: \"There's a skill for Claude...\"\n4. Assistant: this current message\n\nBut 
user-history only has 4 lines. And one of them is `/login`? That doesn't match at all.\n\nWait, maybe the user-history file is from a DIFFERENT session? The filename matches the work_dir_hash, and maybe it 
accumulates across sessions? Or maybe `/login` was the first thing the user did when starting Kimi?\n\nActually, looking at the first line of user-history: `{\"content\":\"/login\"}` - that's probably the 
very first command the user ran in Kimi. Then `{\"content\":\"Hello, Kimi. Where are the logs...\"}` is the next user message. So the user-history might be:\n1. User: `/login`\n2. Assistant: (something)\n3. 
User: \"Hello, Kimi...\"\n4. Assistant: (something)\n5. User: \"There's a skill...\"\n\nBut there are only 4 lines. And line 2 is the user message \"Hello...\", line 3 is also \"Hello...\"? That's weird - 
there are duplicate user messages.\n\nWait, I think what's happening is:\n- `user-history` only stores user messages! Not assistant messages!\n- Or maybe it stores both but in a different order\n\nActually, 
re-reading the file:\n1. `{\"content\":\"Hello, Kimi. Where are the logs for your conversations stored?\"}` - this is the first user message in THIS conversation\n2. `{\"content\":\"/login\"}` - this might 
be from a previous session or command\n3. `{\"content\":\"Hello, Kimi. Where are the logs for your conversations stored?\"}` - duplicate?\n4. `{\"content\":\"There's a skill for Claude...\"}` - the second 
user message in THIS conversation\n\nHmm, this is confusing. The user-history might not be what I think it is. Let me not rely on it.\n\nFor the end-session workflow, `context.jsonl` is definitely the right 
source. But we need to handle the fact that assistant text responses might not be in `context.jsonl` for thinking models.\n\nWait, actually, looking at the `wire.jsonl`, it has `ContentPart` messages with 
type `text`. Let me check if `wire.jsonl` has the assistant's actual text 
responses.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_8AEmQKCNUxkqSoRvwX1Ebl9O","function":{"name":"Shell","arguments":"{\"command\": \"Get-Content 
\\\"$env:USERPROFILE\\\\.kimi\\\\sessions\\\\6bea328adb6bb5fc16327518cb85cc2c\\\\c9faf3df-d202-461a-badf-c1c416bded10\\\\wire.jsonl\\\" | Select-String '\\\"type\\\": \\\"ContentPart\\\"' | Select-Object 
-First 5\"}"}},{"type":"function","id":"tool_iG40LBXjp1bvu9IFngwETSkP","function":{"name":"Shell","arguments":"{\"command\": \"Get-Content 
\\\"$env:USERPROFILE\\\\.kimi\\\\sessions\\\\6bea328adb6bb5fc16327518cb85cc2c\\\\c9faf3df-d202-461a-badf-c1c416bded10\\\\wire.jsonl\\\" | Select-Object -Skip 30 -First 10\"}"}}]}
{"role":"assistant","content":[{"type":"think","think":"I can see the wire.jsonl has `ContentPart` with `type: \"think\"` but I need to see if there are `type: \"text\"` parts for the assistant's actual 
response text. Let me search more specifically.","encrypted":null}],"tool_calls":[{"type":"function","id":"tool_9ZTwaY7kvDR1AmK03hgVPwW9","function":{"name":"Shell","arguments":"{\"command\": \"Get-Content 
\\\"$env:USERPROFILE\\\\.kimi\\\\sessions\\\\6bea328adb6bb5fc16327518cb85cc2c\\\\c9faf3df-d202-461a-badf-c1c416bded10\\\\wire.jsonl\\\" | Select-String '\\\"type\\\": \\\"ContentPart\\\"' | Select-String 
'\\\"type\\\": \\\"text\\\"' | Select-Object -First 5\"}"}},{"type":"function","id":"tool_R54zfwkUFMW3QECjcAS71uxW","function":{"name":"Shell","arguments":"{\"command\": \"Get-Content 
... [4 more lines]

I see that even older assistant messages in `context.jsonl` only have `think` blocks and `tool_calls`, no `text` content parts. This means for the thinking model, the actual text responses might be stored differently or not in `context.jsonl` at all.

Wait, but the user's first interaction with me was:
1. User: "Hello, Kimi. Where are the logs..."
2. Me: response about logs

And in `context.jsonl`, the assistant message after that user message only has `think` + `tool_calls`. So where is the actual text response?

Let me check the `wire.jsonl` more carefully. I saw it has `ContentPart` with `type: "text"`. Maybe the text is only in `wire.jsonl` and not in `context.jsonl` for thinking models?

Actually, that would make sense if the `context.jsonl` is the context sent to the API, and the API returns think tokens plus tool calls. The text response might be generated separately or the think block IS the reasoning and the text is sent as a separate message.

But wait - I remember seeing `wire.jsonl` has `ContentPart` with `type: "text"` that says "For **Kimi Code CLI**, logs and conversation data are stored...". That was the actual response text.

So for a complete transcript, we might need to use `wire.jsonl` OR combine `context.jsonl` with `wire.jsonl`.

Actually, let me reconsider. Looking at the `context.jsonl` again:
- `user` messages have `content: "..."`
- `assistant` messages have `content: [{"type":"think","think":"..."}]` and `tool_calls`
- `tool` messages have `content: [{"type":"text","text":"..."}]`

There's no `text` in assistant `content`. So if we convert `context.jsonl` to markdown, the assistant's text responses would be missing! That's a big problem.

But wait - maybe the text response is in the `wire.jsonl` as a separate `ContentPart` event. Let me think about how to best handle this...

Actually, I just realized something. In the `context.jsonl`, after all the tool calls and tool results for a turn, there might be another assistant message with the final text response. Let me check if there are assistant messages that DON'T have tool_calls.

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" | Select-String '\"role\":\"assistant\"' | ForEach-Object { $line = $_.Line; if ($line -notmatch '\"tool_calls\"') { $line } } | Select-Object -First 5"
}

{
  "command": "Get-Content \"$env:USERPROFILE\\.kimi\\sessions\\6bea328adb6bb5fc16327518cb85cc2c\\c9faf3df-d202-461a-badf-c1c416bded10\\context.jsonl\" | Select-Object -Skip 2 -First 1"
}

<system>Command executed successfully.</system>
{"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored for Kimi Code CLI. I now have all the information I need to give a complete answer:\n\n1. Main diagnostic log: `%USERPROFILE%\\.kimi\\logs\\kimi.log` (on Windows) or `~/.kimi/logs/kimi.log` (on Unix)\n2. Conversation history appears to be in `%USERPROFILE%\\.kimi\\user-history\\` as `.jsonl` files\n3. Sessions are in `%USERPROFILE%\\.kimi\\sessions\\`\n\nOn this specific system:\n- `C:\\Users\\adn\\.kimi\\logs\\kimi.log` - the main log file\n- `C:\\Users\\adn\\.kimi\\user-history\\` - conversation history files (.jsonl)\n- `C:\\Users\\adn\\.kimi\\sessions\\` - session files\n\nI should present this clearly to the user.","encrypted":null},{"type":"text","text":"For **Kimi Code CLI**, logs and conversation data are stored in the **`.kimi` directory** under your user home folder.\n\nOn this Windows system, that is:\n\n| What | Path |\n|------|------|\n| **Main diagnostic log** | `C:\\Users\\adn\\.kimi\\logs\\kimi.log` |\n| **Conversation history** | `C:\\Users\\adn\\.kimi\\user-history\\` (`.jsonl` files) |\n| **Session data** | `C:\\Users\\adn\\.kimi\\sessions\\` |\n\nOn macOS/Linux, the equivalent paths would be:\n- `~/.kimi/logs/kimi.log`\n- `~/.kimi/user-history/`\n- `~/.kimi/sessions/`\n\nThe `kimi.log` file is mostly for diagnostic output and errors. The actual conversation history is stored as `.jsonl` files in the `user-history` directory, keyed by session ID."}]}

<system>Command executed successfully.</system>
{"role":"user","content":"Hello, Kimi. Where are the logs for your conversations stored?"}

Now I can see that assistant messages in `context.jsonl` DO have `type: "text"` content parts! The earlier assistant message I found has:
```json
{"role":"assistant","content":[
  {"type":"think","think":"...","encrypted":null},
  {"type":"text","text":"For **Kimi Code CLI**, logs and conversation data..."}
]}
```

So the format is:
- `content` is a list
- Each item has `type`: `"think"` or `"text"`
- `think` items have `think` field with the thinking content
- `text` items have `text` field with the actual response text
- There can also be `tool_calls` alongside the content

This is great! Now I have a complete understanding of the Kimi `context.jsonl` format and can write the converter.

Let me now plan the implementation:

### 1. Update `find-recent-session.py`
- Add `iter_kimi_context_jsonl()` to find `~/.kimi/sessions/*/*/*/context.jsonl`
- Detect Kimi format by checking for `role` field
- Get first user message for preview
- Sort by file mtime
- Add `[kimi]` marker

### 2. Update `jsonl-to-markdown.py`
- Add `is_kimi_context_transcript()` 
- Add `convert_kimi_context_jsonl_to_markdown()`
  - Filter out `_system_prompt`, `_checkpoint`, `_usage`
  - Handle `user` messages (content string)
  - Handle `assistant` messages:
    - `think` blocks → collapsible details or skip
    - `text` blocks → output as markdown
    - `tool_calls` → collapsible details with formatted tool input
  - Handle `tool` messages:
    - Match with previous tool_call by `tool_call_id`
    - Show in collapsible details
  - Format: similar to Claude/Cursor style

### 3. Create `.kimi/skills/end-session/SKILL.md`
- Similar structure to Claude's skill
- References the updated scripts
- Uses Kimi-specific paths and conventions

Actually, looking at this more carefully, I think the user might want the skill to work the same way - invoked from the conversation, and the AI writes the summary from memory. The scripts just handle the mechanical conversion and git operations.

Let me think about whether to create a separate skill or update the existing one. The user said "port it so it works on your sessions". This implies the same workflow but for Kimi.

I think I should:
1. Update the existing `find-recent-session.py` and `jsonl-to-markdown.py` to support Kimi
2. Create a new skill at `.kimi/skills/end-session/SKILL.md` that mirrors the Claude one

Actually, wait. Looking at the current session, I'm running IN `E:\a327ex` which is the work directory. The user's Claude skill is at `.claude/skills/end-session/SKILL.md`. For Kimi, the equivalent would be `.kimi/skills/end-session/SKILL.md`.

But Kimi might not auto-load skills from `.kimi/skills/` in the work directory. Let me check if there's any evidence of that. Looking at the kimi-cli source, skills might be loaded from `~/.kimi/skills/` or from built-in paths.

Actually, the user said "There's a skill for Claude that I run after each session called end-session". For Claude, skills are in `.claude/skills/`. For Kimi, the user probably wants the skill in a place where Kimi can find it. Based on the kimi-cli source, user skills are likely in `~/.kimi/skills/`.

But wait - I saw earlier in the context that the `.claude/skills/` directory was mentioned in the system prompt, which means Kimi CAN see files in the work directory. Maybe Kimi skills should be in `.kimi/skills/` in the work directory?

Actually, let me just create the skill in both places or ask the user where they want it. But better yet, let me create it at `~/.kimi/skills/end-session/SKILL.md` since that's the user-level skills directory, and also maybe at `.kimi/skills/end-session/SKILL.md` in the project root for project-specific use.

Hmm, but looking at the user's workflow, they commit the `.claude/` directory to git (the skill is referenced in the Anchor2 staging command as `.claude/`). So maybe they want the Kimi skill in a similar location in the project.

Actually, I think the most practical approach is:
1. Update the scripts in `Anchor2/scripts/` to support Kimi
2. Create the skill at `~/.kimi/skills/end-session/SKILL.md` for Kimi to use
3. Also mention that they can put it in `.kimi/skills/` in their project if they prefer

Wait, looking at the `AGENTS.md` section in the system prompt: "`AGENTS.md` files can appear at any level of the project directory tree, including inside `.kimi/` directories." This suggests `.kimi/` directories ARE a thing in the project tree.

And: "Each file governs the directory it resides in and all subdirectories beneath it."

This strongly implies that `.kimi/` is the Kimi equivalent of `.claude/` for project-local configuration.

So I should create `.kimi/skills/end-session/SKILL.md` in the project root.

Now let me write the code. I'll update both scripts and create the skill.

For the `find-recent-session.py` update, I need to add Kimi session discovery. The key challenge is that Kimi `context.jsonl` files are nested deep in `~/.kimi/sessions/<hash>/<session_id>/<subagent_id>/context.jsonl`. But for the root agent (which is what the user runs `end-session` from), the subagent_id is... well, from what I've seen, the directory is `sessions/<hash>/<session_id>/` and inside that is `context.jsonl` directly. Wait, no:

`sessions/6bea328adb6bb5fc16327518cb85cc2c/c9faf3df-d202-461a-badf-c1c416bded10/context.jsonl`

So the path is `sessions/<work_dir_hash>/<session_id>/context.jsonl`. There is no subagent_id level for the root agent.

So I can search for `~/.kimi/sessions/*/*/context.jsonl`.

For detecting Kimi format, I can check if lines have `role` field with values like `_system_prompt`, `user`, `assistant`, `tool`.

For getting the first user message, I can look for `role: user` with non-empty content.

For sorting, I'll use file mtime since context.jsonl doesn't have per-message timestamps.

Now for `jsonl-to-markdown.py`, I need to write `convert_kimi_context_jsonl_to_markdown()`.

Kimi assistant tool input format:
```json
{"type":"function","id":"tool_XXX","function":{"name":"ReadFile","arguments":"{\"path\": \"...\"}"}}
```

So tool_calls is a list of objects with `type`, `id`, `function.name`, `function.arguments` (a JSON string).

For formatting tool input, I can parse the `arguments` JSON string and extract relevant fields.

Let me also think about `think` blocks. In the Claude script, there's no equivalent. For Kimi, I think think blocks should be shown in collapsible details blocks (collapsed by default) since they're the model's reasoning process.

Actually, looking at the Claude script again, it doesn't have think blocks because Claude doesn't expose them in the transcript. For Kimi, since think blocks ARE in the transcript, I should probably include them but collapsed.

Wait, but including think blocks would make the transcript VERY long. The user might not want that. Looking at the existing skill's purpose: "These summaries serve as searchable records." Think blocks might actually be useful for searchability.

But they're also very verbose. Let me make them collapsible, default collapsed.

OK let me now actually write the code. I have a clear plan:

1. Modify `find-recent-session.py` to add Kimi support
2. Modify `jsonl-to-markdown.py` to add Kimi context.jsonl support  
3. Create `.kimi/skills/end-session/SKILL.md`

Let me start writing.

{
  "todos": [
    {
      "title": "Update find-recent-session.py with Kimi session discovery",
      "status": "in_progress"
    },
    {
      "title": "Update jsonl-to-markdown.py with Kimi context.jsonl converter",
      "status": "pending"
    },
    {
      "title": "Create .kimi/skills/end-session/SKILL.md",
      "status": "pending"
    },
    {
      "title": "Test the scripts against current session",
      "status": "pending"
    }
  ]
}

<system>Todo list updated</system>
Todo list updated

Let me write the updated scripts and skill. I'll start with `find-recent-session.py`.

For the Kimi format detection in `find-recent-session.py`:
- Search `~/.kimi/sessions/*/*/context.jsonl`
- Detect Kimi by looking for `role` field in the first non-empty line
- Get first user message from `role: user` lines
- Sort by file mtime

For `jsonl-to-markdown.py`:
- Add `is_kimi_context_transcript()` 
- Add `convert_kimi_context_jsonl_to_markdown()`
  - Filter out `_system_prompt`, `_checkpoint`, `_usage`
  - Handle user messages (content string, quoted with `>`)
  - Handle assistant messages:
    - `think` blocks → `<details><summary>[Think]</summary>...`
    - `text` blocks → output as markdown text
    - `tool_calls` → `<details><summary><code>ToolName(args)</code></summary>...`
  - Handle tool messages:
    - Match with tool_call by id
    - Show result in details block

For the skill:
- Mirror the Claude skill structure
- Use Kimi-specific paths
- Reference the updated scripts

Let me write the code now. I'll do all three files in parallel.

{
  "path": "E:\\a327ex\\Anchor2\\scripts\\find-recent-session.py",
  "edit": [
    {
      "old": "def iter_cursor_agent_jsonl():\n    \"\"\"Yield paths to Cursor agent transcript JSONL files.\"\"\"\n    root = Path.home() / '.cursor' / 'projects'\n    if not root.is_dir():\n        return\n    yield from root.glob('*/agent-transcripts/*/*.jsonl')\n\ndef find_sessions(project_folders, exclude_session_id=None, include_cursor=True):",
      "new": "def iter_cursor_agent_jsonl():\n    \"\"\"Yield paths to Cursor agent transcript JSONL files.\"\"\"\n    root = Path.home() / '.cursor' / 'projects'\n    if not root.is_dir():\n        return\n    yield from root.glob('*/agent-transcripts/*/*.jsonl')\n\n\ndef iter_kimi_context_jsonl():\n    \"\"\"Yield paths to Kimi context.jsonl transcript files.\"\"\"\n    root = Path.home() / '.kimi' / 'sessions'\n    if not root.is_dir():\n        return\n    # Pattern: ~/.kimi/sessions/<work_dir_hash>/<session_id>/context.jsonl\n    yield from root.glob('*/*/context.jsonl')\n\n\ndef is_kimi_transcript(jsonl_path):\n    \"\"\"True if file is Kimi context.jsonl (has role-based lines with _system_prompt).\"\"\"\n    try:\n        with open(jsonl_path, 'r', encoding='utf-8') as f:\n            for line in f:\n                line = line.strip()\n                if not line:\n                    continue\n                msg = json.loads(line)\n                role = msg.get('role')\n                if role and isinstance(role, str) and role.startswith('_'):\n                    return True\n                if role in ('user', 'assistant', 'tool'):\n                    return True\n    except (OSError, json.JSONDecodeError, UnicodeDecodeError):\n        pass\n    return False\n\n\ndef find_sessions(project_folders, exclude_session_id=None, include_cursor=True, include_kimi=True):"
    },
    {
      "old": "    parser.add_argument('--no-cursor', action='store_true',\n                        help='Do not include ~/.cursor/projects/.../agent-transcripts/')\n    args = parser.parse_args()\n\n    sessions = find_sessions(args.folders, args.exclude, include_cursor=not args.no_cursor)",
      "new": "    parser.add_argument('--no-cursor', action='store_true',\n                        help='Do not include ~/.cursor/projects/.../agent-transcripts/')\n    parser.add_argument('--no-kimi', action='store_true',\n                        help='Do not include ~/.kimi/sessions/.../context.jsonl')\n    args = parser.parse_args()\n\n    sessions = find_sessions(args.folders, args.exclude, include_cursor=not args.no_cursor, include_kimi=not args.no_kimi)"
    },
    {
      "old": "    if include_cursor:\n        paths.extend(str(p) for p in iter_cursor_agent_jsonl())\n\n    seen = set()",
      "new": "    if include_cursor:\n        paths.extend(str(p) for p in iter_cursor_agent_jsonl())\n\n    if include_kimi:\n        paths.extend(str(p) for p in iter_kimi_context_jsonl())\n\n    seen = set()"
    },
    {
      "old": "        if exclude_session_id and session_id == exclude_session_id:\n            continue\n\n        ts = get_sort_timestamp(jsonl_path)\n        if ts:\n            results.append((ts, jsonl_path, session_id))",
      "new": "        if exclude_session_id and session_id == exclude_session_id:\n            continue\n\n        # For Kimi context.jsonl, use file mtime since there's no embedded timestamp\n        if is_kimi_transcript(jsonl_path):\n            try:\n                m = os.path.getmtime(jsonl_path)\n                ts = datetime.fromtimestamp(m).isoformat()\n            except Exception:\n                continue\n        else:\n            ts = get_sort_timestamp(jsonl_path)\n\n        if ts:\n            results.append((ts, jsonl_path, session_id))"
    },
    {
      "old": "        # Get first user message for context (Claude or Cursor format)\n        first_msg = \"\"\n        try:\n            with open(path, 'r', encoding='utf-8') as f:\n                for line in f:\n                    msg = json.loads(line)\n                    # Claude Code\n                    if msg.get('type') == 'user':\n                        content = msg.get('message', {}).get('content', '')\n                        if isinstance(content, str) and content:\n                            first_msg = content[:80].replace('\\n', ' ')\n                            if len(content) > 80:\n                                first_msg += \"...\"\n                            break\n                        if isinstance(content, list):\n                            for item in content:\n                                if item.get('type') == 'text':\n                                    t = item.get('text', '')\n                                    if t:\n                                        first_msg = t[:80].replace('\\n', ' ')\n                                        if len(t) > 80:\n                                            first_msg += \"...\"\n                                        break\n                            if first_msg:\n                                break\n                    # Cursor / Composer\n                    if msg.get('role') == 'user':\n                        content = msg.get('message', {}).get('content')\n                        if isinstance(content, list):\n                            for item in content:\n                                if item.get('type') == 'text':\n                                    t = item.get('text', '')\n                                    if t:\n                                        first_msg = t[:80].replace('\\n', ' ')\n                                        if len(t) > 80:\n                                            first_msg += \"...\"\n                                        break\n                            if first_msg:\n                                break\n        except Exception:\n            pass\n\n        marker = \" <-- MOST RECENT\" if i == 0 else \"\"\n        src = \"cursor\" if \"agent-transcripts\" in path.replace(\"\\\\\", \"/\") else \"claude\"\n        print(f\"{ts} {session_id} [{src}]{marker}\")\n        print(f\"   {first_msg}\")\n        print(f\"   {path}\")\n        print()",
      "new": "        # Get first user message for context (Claude, Cursor, or Kimi format)\n        first_msg = \"\"\n        try:\n            with open(path, 'r', encoding='utf-8') as f:\n                for line in f:\n                    msg = json.loads(line)\n                    # Claude Code\n                    if msg.get('type') == 'user':\n                        content = msg.get('message', {}).get('content', '')\n                        if isinstance(content, str) and content:\n                            first_msg = content[:80].replace('\\n', ' ')\n                            if len(content) > 80:\n                                first_msg += \"...\"\n                            break\n                        if isinstance(content, list):\n                            for item in content:\n                                if item.get('type') == 'text':\n                                    t = item.get('text', '')\n                                    if t:\n                                        first_msg = t[:80].replace('\\n', ' ')\n                                        if len(t) > 80:\n                                            first_msg += \"...\"\n                                        break\n                            if first_msg:\n                                break\n                    # Cursor / Composer\n                    if msg.get('role') == 'user' and 'type' not in msg:\n                        content = msg.get('message', {}).get('content')\n                        if isinstance(content, list):\n                            for item in content:\n                                if item.get('type') == 'text':\n                                    t = item.get('text', '')\n                                    if t:\n                       
... [truncated]

It looks like my StrReplaceFile tool call was rejected by the user. This likely happened because the approval system intercepted it - maybe because I was making multiple changes to a file and the user wants to review or approve them first.

Let me check what happened and explain to the user. The tool call was rejected, so I should stop and ask the user how they want to proceed. I was in the middle of updating `find-recent-session.py` with Kimi support.

I should explain what I was doing and ask if they want me to continue, perhaps with a different approach (like writing a new file instead of modifying the existing one, or breaking it into smaller changes).

{
  "path": "E:\\a327ex\\Anchor2\\scripts\\find-recent-session.py",
  "line_offset": 1,
  "n_lines": 20
}

<system>20 lines read from file starting from line 1. Total lines in file: 165.</system>
     1  #!/usr/bin/env python3
     2  """Find the most recent session by last message timestamp.
     3  
     4  Searches:
     5    - Claude Code: flat ``~/.claude/projects/<slug>/*.jsonl`` (per --folders)
     6    - Cursor / Composer: ``~/.cursor/projects/<project>/agent-transcripts/<id>/<id>.jsonl``
     7  
     8  When a transcript has no embedded ``timestamp`` (Cursor), the file's modification
     9  time is used for sorting.
    10  """
    11  
    12  import os
    13  import json
    14  import glob
    15  import argparse
    16  from datetime import datetime
    17  from pathlib import Path
    18  
    19  def get_last_timestamp(jsonl_path):
    20      """Get the timestamp of the last message in a jsonl file (Claude Code schema)."""

The user is asking "Oops, what happened?" after my StrReplaceFile tool call was rejected. Let me explain what happened and ask how they want to proceed.

I was trying to update `find-recent-session.py` with a large StrReplaceFile that had multiple edits. The approval system rejected it. I should explain what I was doing and offer to proceed in a way they're comfortable with - perhaps smaller incremental changes, or writing new files instead.

Actually, looking at the system, it says "The tool call is rejected by the user. Stop what you are doing and wait for the user to tell you how to proceed." So I should just explain and wait.

The user has approved continuing with the plan. I need to break the changes into smaller steps to avoid approval rejections. Let me start with the `find-recent-session.py` updates. I'll do one edit at a time.

Actually, looking at the previous rejection, it might have been because I was making multiple edits in one StrReplaceFile call. Let me break it down into smaller, incremental edits.

First, I'll add the Kimi-specific functions after `iter_cursor_agent_jsonl()`.

{
  "path": "E:\\a327ex\\Anchor2\\scripts\\find-recent-session.py",
  "edit": {
    "old": "def iter_cursor_agent_jsonl():\n    \"\"\"Yield paths to Cursor agent transcript JSONL files.\"\"\"\n    root = Path.home() / '.cursor' / 'projects'\n    if not root.is_dir():\n        return\n    yield from root.glob('*/agent-transcripts/*/*.jsonl')\n\ndef find_sessions(project_folders, exclude_session_id=None, include_cursor=True):",
    "new": "def iter_cursor_agent_jsonl():\n    \"\"\"Yield paths to Cursor agent transcript JSONL files.\"\"\"\n    root = Path.home() / '.cursor' / 'projects'\n    if not root.is_dir():\n        return\n    yield from root.glob('*/agent-transcripts/*/*.jsonl')\n\n\ndef iter_kimi_context_jsonl():\n    \"\"\"Yield paths to Kimi context.jsonl transcript files.\"\"\"\n    root = Path.home() / '.kimi' / 'sessions'\n    if not root.is_dir():\n        return\n    # Pattern: ~/.kimi/sessions/<work_dir_hash>/<session_id>/context.jsonl\n    yield from root.glob('*/*/context.jsonl')\n\n\ndef is_kimi_transcript(jsonl_path):\n    \"\"\"True if file is Kimi context.jsonl (has role-based lines with _system_prompt).\"\"\"\n    try:\n        with open(jsonl_path, 'r', encoding='utf-8') as f:\n            for line in f:\n                line = line.strip()\n                if not line:\n                    continue\n                msg = json.loads(line)\n                role = msg.get('role')\n                if role and isinstance(role, str) and role.startswith('_'):\n                    return True\n                if role in ('user', 'assistant', 'tool'):\n                    return True\n    except (OSError, json.JSONDecodeError, UnicodeDecodeError):\n        pass\n    return False\n\n\ndef find_sessions(project_folders, exclude_session_id=None, include_cursor=True, include_kimi=True):"
  }
}

The user wants me to create NEW files for the Kimi-specific scripts instead of editing the existing Claude/Cursor ones. That's a cleaner approach. Let me think about where to place them.

The user said "Place them in whatever place you think is best." Looking at the existing setup:
- Claude scripts are in `Anchor2/scripts/` and `Anchor/scripts/`
- The skill references `E:/a327ex/Anchor2/scripts/...`

For Kimi, I think the best place would be either:
1. `E:/a327ex/Anchor2/scripts/` alongside the existing ones
2. A new dedicated location like `E:/a327ex/.kimi/scripts/`

Since the user has `.claude/` in their project root and likely will have `.kimi/`, putting scripts in `.kimi/scripts/` makes sense. But the existing skill references `Anchor2/scripts/`.

Actually, the user said "whatever place you think is best." I'll create:
1. `E:/a327ex/.kimi/scripts/find-recent-session.py` - Kimi-specific session finder
2. `E:/a327ex/.kimi/scripts/jsonl-to-markdown.py` - Kimi-specific markdown converter
3. `E:/a327ex/.kimi/skills/end-session/SKILL.md` - The skill file

This keeps Kimi stuff self-contained in `.kimi/` similar to how `.claude/` works.

Let me create these files.

{
  "command": "mkdir -Force \"E:\\a327ex\\.kimi\\scripts\"; mkdir -Force \"E:\\a327ex\\.kimi\\skills\\end-session\""
}

<system>Command executed successfully.</system>


    Directory: E:\a327ex\.kimi


Mode                 LastWriteTime         Length Name                                                                                                                                                          
----                 -------------         ------ ----                                                                                                                                                          
d-----          21/04/26     08:37                scripts                                                                                                                                                       


    Directory: E:\a327ex\.kimi\skills


Mode                 LastWriteTime         Length Name                                                                                                                                                          
----                 -------------         ------ ----                                                                                                                                                          
d-----          21/04/26     08:37                end-session                                                                                                                                                   

The user wants me to create new files for the Kimi-specific scripts instead of editing the existing ones. I've created the directories. Now let me write the three files:

1. `.kimi/scripts/find-recent-session.py` - finds recent Kimi sessions
2. `.kimi/scripts/jsonl-to-markdown.py` - converts Kimi context.jsonl to markdown
3. `.kimi/skills/end-session/SKILL.md` - the skill file

Let me write them carefully.

For `find-recent-session.py`:
- Search `~/.kimi/sessions/*/*/context.jsonl`
- Sort by file mtime
- Show session ID, first user message, path
- Exclude subagent context files if any (though root agent context.jsonl is directly under session dir)

Wait, looking at the Kimi directory structure again:
- `~/.kimi/sessions/<work_dir_hash>/<session_id>/context.jsonl`

But there could also be subagents under:
- `~/.kimi/sessions/<work_dir_hash>/<session_id>/subagents/<agent_id>/context.jsonl`

For the end-session skill, we want the ROOT agent's conversation, not subagents. So I should only find `context.jsonl` files that are directly under the session dir, not in subagent subdirs.

Actually, looking at the current session, there are no subagent dirs. But to be safe, I'll only match `~/.kimi/sessions/*/*/context.jsonl` (2 levels deep from sessions/), which would exclude subagents (which would be 3+ levels deep).

For `jsonl-to-markdown.py`:
- Parse Kimi context.jsonl
- Filter out internal roles (`_system_prompt`, `_checkpoint`, `_usage`)
- Handle user messages: `role: user`, `content: "..."` → blockquoted
- Handle assistant messages:
  - `content` list with `think` and `text` parts
  - `tool_calls` list
  - Think blocks → collapsible details
  - Text blocks → normal markdown
  - Tool calls → collapsible details
- Handle tool messages:
  - `role: tool`, `content` list, `tool_call_id`
  - Match with previous tool call
  - Show result in collapsible details

For tool call formatting in Kimi:
```json
{"type":"function","id":"tool_XXX","function":{"name":"Shell","arguments":"{\"command\":\"...\"}"}}
```

The `arguments` is a JSON string that needs to be parsed.

Let me write the code now.

{
  "path": "E:\\a327ex\\.kimi\\scripts\\find-recent-session.py",
  "content": "#!/usr/bin/env python3\n\"\"\"Find the most recent Kimi sessions by last activity time.\n\nSearches:\n  - Kimi Code CLI: ``~/.kimi/sessions/<work_dir_hash>/<session_id>/context.jsonl``\n\"\"\"\n\nimport os\nimport json\nimport argparse\nfrom datetime import datetime\nfrom pathlib import Path\n\n\ndef iter_kimi_context_jsonl():\n    \"\"\"Yield paths to Kimi root-agent context.jsonl transcript files.\"\"\"\n    root = Path.home() / '.kimi' / 'sessions'\n    if not root.is_dir():\n        return\n    # Pattern: ~/.kimi/sessions/<work_dir_hash>/<session_id>/context.jsonl\n    # We use exactly 2 levels deep to avoid subagent context files.\n    for work_dir_hash_dir in root.iterdir():\n        if not work_dir_hash_dir.is_dir():\n            continue\n        for session_dir in work_dir_hash_dir.iterdir():\n            if not session_dir.is_dir():\n                continue\n            context_file = session_dir / 'context.jsonl'\n            if context_file.is_file():\n                yield context_file\n\n\ndef is_kimi_transcript(jsonl_path):\n    \"\"\"True if file is Kimi context.jsonl.\"\"\"\n    try:\n        with open(jsonl_path, 'r', encoding='utf-8') as f:\n            for line in f:\n                line = line.strip()\n                if not line:\n                    continue\n                msg = json.loads(line)\n                role = msg.get('role')\n                if role and isinstance(role, str) and role.startswith('_'):\n                    return True\n                if role in ('user', 'assistant', 'tool'):\n                    return True\n    except (OSError, json.JSONDecodeError, UnicodeDecodeError):\n        pass\n    return False\n\n\ndef get_first_user_message(jsonl_path):\n    \"\"\"Extract the first user message text for preview.\"\"\"\n    try:\n        with open(jsonl_path, 'r', encoding='utf-8') as f:\n            for line in f:\n                msg = json.loads(line)\n                if msg.get('role') == 'user':\n                    content = msg.get('content', '')\n                    if isinstance(content, str) and content:\n                        text = content[:80].replace('\\n', ' ')\n                        if len(content) > 80:\n                            text += '...'\n                        return text\n    except Exception:\n        pass\n    return ''\n\n\ndef main():\n    parser = argparse.ArgumentParser(description='Find recent Kimi Code CLI sessions')\n    parser.add_argument('--limit', '-n', type=int, default=5, help='Number of results to show')\n    args = parser.parse_args()\n\n    results = []\n    for path in iter_kimi_context_jsonl():\n        if not is_kimi_transcript(path):\n            continue\n        try:\n            mtime = os.path.getmtime(path)\n            ts = datetime.fromtimestamp(mtime).isoformat()\n        except Exception:\n            continue\n        session_id = path.parent.name\n        results.append((ts, path, session_id))\n\n    results.sort(key=lambda x: x[0], reverse=True)\n\n    for i, (ts, path, session_id) in enumerate(results[:args.limit]):\n        first_msg = get_first_user_message(path)\n        marker = ' <-- MOST RECENT' if i == 0 else ''\n        print(f'{ts} {session_id} [kimi]{marker}')\n        print(f'   {first_msg}')\n        print(f'   {path}')\n        print()\n\n\nif __name__ == '__main__':\n    main()\n"
}

The user wants me to create new files for the Kimi-specific scripts. I've created `find-recent-session.py`. Now I need to create `jsonl-to-markdown.py` for Kimi. This is the more complex one.

Let me think carefully about the Kimi context.jsonl format:

1. `role: "_system_prompt"` - skip
2. `role: "_checkpoint"` - skip
3. `role: "_usage"` - skip
4. `role: "user"` with `content: "..."` (string) - blockquote with `>`
5. `role: "assistant"` with:
   - `content: [{"type":"think","think":"...","encrypted":null}, {"type":"text","text":"..."}]`
   - `tool_calls: [{"type":"function","id":"tool_XXX","function":{"name":"ReadFile","arguments":"{\"path\":\"...\"}"}}]`
   - Need to output text parts as normal markdown
   - Think parts in collapsible details
   - Tool calls in collapsible details
6. `role: "tool"` with:
   - `content: [{"type":"text","text":"..."}]`
   - `tool_call_id: "tool_XXX"`
   - Match with previous tool call and show in collapsible details

For tool input formatting, I need to parse the JSON string in `arguments` and extract key info.

Let me also handle the case where assistant has ONLY think blocks and tool_calls but NO text (like when the turn hasn't completed yet, or when it's purely tool-calling). In that case, I should skip or show minimal output.

Actually, looking at the conversation, some assistant messages have both `think` and `text`, while some (the current in-progress turn) might only have `think` + `tool_calls`.

For a finished transcript, every assistant turn should end with a message that has `text` content.

Let me write the converter now.

{
  "path": "E:\\a327ex\\.kimi\\scripts\\jsonl-to-markdown.py",
  "content": "#!/usr/bin/env python3\n\"\"\"Convert Kimi Code CLI context.jsonl transcripts to readable Markdown.\"\"\"\n\nimport json\nimport os\nimport sys\nimport re\nfrom datetime import datetime\n\n\ndef get_fence(content):\n    \"\"\"Get a code fence that won't conflict with content.\"\"\"\n    if '```' in content:\n        fence = '~~~'\n        while fence in content:\n            fence += '~'\n        return fence\n    return '```'\n\n\ndef html_escape(text):\n    \"\"\"Escape HTML special characters.\"\"\"\n    return text.replace('&', '&amp;').replace('<', '&lt;').replace('>', '&gt;')\n\n\ndef format_kimi_tool_input(tool_name, arguments_json):\n    \"\"\"Format Kimi tool input for display.\"\"\"\n    try:\n        args = json.loads(arguments_json)\n    except (json.JSONDecodeError, TypeError):\n        args = {}\n\n    if tool_name == 'ReadFile':\n        return f'({args.get(\"path\", \"\")})'\n    if tool_name == 'WriteFile':\n        return f'({args.get(\"path\", \"\")})'\n    if tool_name == 'StrReplaceFile':\n        return f'({args.get(\"path\", \"\")})'\n    if tool_name == 'Shell':\n        cmd = args.get('command', '')\n        if len(cmd) > 80:\n            cmd = cmd[:80] + '...'\n        return f'({cmd})'\n    if tool_name == 'Grep':\n        return f'({args.get(\"pattern\", \"\")})'\n    if tool_name == 'Glob':\n        return f'({args.get(\"pattern\", \"\")})'\n    if tool_name == 'Read':\n        return f'({args.get(\"file_path\", \"\")})'\n    if tool_name == 'Write':\n        return f'({args.get(\"file_path\", \"\")})'\n    if tool_name == 'Edit':\n        return f'({args.get(\"file_path\", \"\")})'\n    if tool_name == 'Bash':\n        cmd = args.get('command', '')\n        if len(cmd) > 80:\n            cmd = cmd[:80] + '...'\n        return f'({cmd})'\n    if tool_name == 'WebFetch':\n        return f'({args.get(\"url\", \"\")})'\n    if tool_name == 'WebSearch':\n        return f'({args.get(\"query\", \"\")})'\n    if tool_name == 'Agent':\n        return f'({args.get(\"description\", \"\")})'\n    if tool_name == 'Task':\n        return f'({args.get(\"description\", \"\")})'\n    if tool_name == 'FetchURL':\n        return f'({args.get(\"url\", \"\")})'\n    if tool_name == 'SearchWeb':\n        return f'({args.get(\"query\", \"\")})'\n\n    raw = json.dumps(args, ensure_ascii=False)\n    if len(raw) > 120:\n        raw = raw[:117] + '...'\n    return f'({raw})'\n\n\ndef format_tool_result(result_parts, max_lines=30):\n    \"\"\"Format tool result from Kimi content parts, truncating if needed.\"\"\"\n    texts = []\n    for part in result_parts:\n        if isinstance(part, dict) and part.get('type') == 'text':\n            texts.append(part.get('text', ''))\n    result = '\\n'.join(texts)\n\n    # Clean up system reminders\n    if '<system-reminder>' in result:\n        result = result[:result.find('<system-reminder>')].strip()\n\n    lines = result.split('\\n')\n    if len(lines) > max_lines:\n        result = '\\n'.join(lines[:max_lines]) + f'\\n... [{len(lines) - max_lines} more lines]'\n\n    return result\n\n\ndef convert_kimi_context_jsonl_to_markdown(jsonl_path, output_path=None):\n    \"\"\"Convert Kimi Code CLI context.jsonl to Markdown.\"\"\"\n    messages = []\n    with open(jsonl_path, 'r', encoding='utf-8') as f:\n        for line in f:\n            line = line.strip()\n            if not line:\n                continue\n            try:\n                messages.append(json.loads(line))\n            except json.JSONDecodeError:\n                continue\n\n    # Determine session start time from file mtime\n    try:\n        mtime = os.path.getmtime(jsonl_path)\n        dt = datetime.fromtimestamp(mtime)\n        header = f'# Session {dt.strftime(\"%Y-%m-%d %H:%M\")}\\n\\n---\\n\\n'\n    except OSError:\n        header = '# Session\\n\\n---\\n\\n'\n\n    output = header\n    pending_tools = {}  # tool_call_id -> (tool_name, formatted_input, raw_arguments)\n\n    for msg in messages:\n        role = msg.get('role')\n\n        # Skip internal messages\n        if role in ('_system_prompt', '_checkpoint', '_usage'):\n            continue\n\n        if role == 'user':\n            content = msg.get('content', '')\n            if isinstance(content, str) and content:\n                lines = content.split('\\n')\n                quoted = '\\n'.join(f'> {line}' for line in lines)\n                output += f'{quoted}\\n\\n'\n            elif isinstance(content, list):\n                for item in content:\n                    if item.get('type') == 'text':\n                        text = item.get('text', '')\n                        if text:\n                            lines = text.split('\\n')\n                            quoted = '\\n'.join(f'> {line}' for line in lines)\n                            output += f'{quoted}\\n\\n'\n\n        elif role == 'assistant':\n            content = msg.get('content', [])\n            tool_calls = msg.get('tool_calls', [])\n\n            # Output text content\n            if isinstance(content, list):\n                for item in content:\n                    item_type = item.get('type')\n                    if item_type == 'text':\n                        text = item.get('text', '')\n                        if text:\n                            output += f'{text}\\n\\n'\n                    elif item_type == 'think':\n                        think_text = item.get('think', '')\n                        if think_text:\n                            escaped = html_escape(think_text)\n                            output += f'<details>\\n<summary>[Think]</summary>\\n\\n<pre><code>{escaped}</code></pre>\\n\\n</details>\\n\\n'\n\n            # Store tool calls for matching with results\n            for tc in tool_calls:\n                tool_id = tc.get('id')\n                func = tc.get('function', {})\n                tool_name = func.get('name', 'Unknown')\n                arguments = func.get('arguments', '{}')\n                formatted = format_kimi_tool_input(tool_name, arguments)\n                if tool_id:\n                    pending_tools[tool_id] = (tool_name, formatted, arguments)\n\n                # Also render the tool call immediately as a collapsed block\n                try:\n                    args_pretty = json.dumps(json.loads(arguments), indent=2, ensure_ascii=False)\n                except (json.JSONDecodeError, TypeError):\n                    args_pretty = str(arguments)\n                if len(args_pretty) > 8000:\n                    args_pretty = args_pretty[:8000] + '\\n... [truncated]'\n                escaped_args = html_escape(args_pretty)\n                output += f'<details>\\n<summary><code>{tool_name} {html_escape(formatted)}</code></summary>\\n\\n<pre><code>{escaped_args}</code></pre>\\n\\n</details>\\n\\n'\n\n        elif role == 'tool':\n            tool_id = msg.get('tool_call_id')\n            content = msg.get('content', [])\n            tool_info = pending_tools.pop(tool_id, None)\n\n            result_text = format_tool_result(content)\n            if tool_info:\n                tool_name, formatted_input, _ = tool_info\n                if result_text:\n                    escaped = html_escape(result_text)\n                    output += f'<details>\\n<summary><code>{tool_name} {formatted_input} → result</code></summary>\\n\\n<pre><code>{escaped}</code></pre>\\n\\n</details>\\n\\n'\n                else:\n                    output += f'> `{tool_name} {formatted_input}` (no output)\\n\\n'\n            else:\n                if result_text:\n                    fence = get_fence(result_text)\n                    output += f'{fence}\\n{result_text}\\n{fence}\\n\\n'\n\n    if output_path:\n        with open(output_path, 'w', encoding='utf-8') as f:\n            f.write(output)\n        print(f'Written to {output_path}')\n    else:\n        print(output)\n\n    return out
... [truncated]

The user wants me to create new files for the Kimi-specific scripts. I've created `find-recent-session.py` and `jsonl-to-markdown.py`. Now I need to create the skill file and then test everything.

Let me create the `.kimi/skills/end-session/SKILL.md` file now.

I should mirror the structure of the Claude skill but adapt it for Kimi:
- Ask for session title
- Write summary from conversation memory
- Get user approval
- Convert transcript using the new Kimi scripts
- Sync context files to Blot
- Commit project repo
- Push both repos
- Confirm

For the transcript path, the Kimi script finds `~/.kimi/sessions/<hash>/<session_id>/context.jsonl`.

Key differences from Claude:
- The scripts are in `.kimi/scripts/` instead of `Anchor2/scripts/`
- The transcript source is Kimi `context.jsonl`
- The commit attribution should say "Kimi Code CLI" instead of "Claude Code"

Also, I noticed the existing skill references `cp E:/a327ex/.claude/CLAUDE.md` for context sync. For Kimi, there might be a `.kimi/` equivalent but I don't think there's a CLAUDE.md equivalent yet. I should probably skip that or adapt it.

Wait, looking at the existing skill again, it says:
```bash
cp E:/a327ex/.claude/CLAUDE.md E:/a327ex/anchor.blot.im/context/CLAUDE.md
cp E:/a327ex/Anchor/docs/* E:/a327ex/anchor.blot.im/context/
```

For Kimi, there might not be a `.kimi/CLAUDE.md` yet. I should either leave that out or note that it can be added later.

Also, the commit method uses `awk` and `sed` which are Unix commands. Since the user is on Windows, they might be using WSL or Git Bash. The original skill uses these Unix commands. I should keep the same approach but maybe add a Windows PowerShell alternative? Actually, looking at the existing skill, it just uses bash-style commands. The user probably has Git Bash or WSL available.

Let me write the skill file now.

{
  "path": "E:\\a327ex\\.kimi\\skills\\end-session\\SKILL.md",
  "content": "---\nname: end-session\ndescription: End the current session. Converts transcript to markdown, writes summary, commits, and pushes to GitHub and Blot.\n---\n\n# End Session Workflow (Kimi)\n\nThis skill is invoked from the **same conversation** where the work was done. You already have the full session context in memory — you do NOT need to read the transcript.\n\n## Step 1: Get Session Info\n\nAsk the user for the **session title** (max 30 characters). Examples: \"Anchor Phase 10 Part 5\", \"Physics Arena Setup\", \"Timer System Fix\", \"Thalien Lune Design\".\n\n**Determine the project yourself from your session context** — you know which repo(s) were worked on, which files were created/modified, and where they live. No need to ask. See Step 6 for the list of known project roots; if the session touched something outside the list, infer the root from the paths you actually edited.\n\n## Step 2: Write Summary\n\nWrite the summary from your conversation memory. You have the full session context — no need to read any files.\n\nThe summary should be **thorough and detailed**. Each major topic deserves its own section with multiple specific bullet points. Don't compress — expand.\n\n**Purpose:** These summaries serve as searchable records. Future instances will grep through past logs to find how specific topics were handled. The more detail you include, the more useful the summary becomes for finding relevant context later.\n\nFormat (this is just an example structure — adapt sections to match what actually happened):\n\n```markdown\n# [Title]\n\n## Summary\n\n[1-2 sentence overview of the session's main focus]\n\n**[Topic 1 - e.g., \"Spring Module Implementation\"]:**\n- First specific detail about what was done\n- Second detail - include file names, function names\n- User correction or feedback (quote if notable)\n- Technical decisions and why\n\n**[Topic 2 - e.g., \"Camera Research\"]:**\n- What was researched\n- Key findings\n- How it influenced implementation\n\n**[Topic 3 - e.g., \"Errors and Fixes\"]:**\n- Specific error message encountered\n- Root cause identified\n- How it was fixed\n\n[Continue for each major topic...]\n\n---\n\n[Rest of transcript follows]\n```\n\nRules:\n- **Be thorough** — If in doubt, include more detail, not less. Each topic should be as detailed as possible while still being a summary.\n- **Think searchability** — Future instances will search these logs. Include keywords, function names, error messages that someone might grep for.\n- **One section per major topic** — Don't combine unrelated work into one section\n- **Chronological order** — Sections should match conversation flow\n- **Specific details** — Error messages, file names, function names, parameter values\n- **Include user quotes** — When user gave notable feedback, quote it (e.g., \"k/d variables are not intuitive at all\")\n- **Weight planning equally** — Research, proposals, alternatives considered, user feedback on approach are as important as implementation\n- **Weight problems solved** — Errors, root causes, fixes, user corrections all matter\n- **Technical specifics** — Include formulas, API signatures, parameter changes when relevant\n\n## Step 3: Get User Approval\n\nShow the title and summary to the user. Wait for approval before proceeding. If they have corrections, fix them.\n\n## Step 4: Convert Transcript and Write Log File\n\n```bash\n# Find recent sessions (Kimi only)\npython E:/a327ex/.kimi/scripts/find-recent-session.py --limit 5\n```\n\nThe script shows sessions sorted by when they ended. The **first result** is the current conversation (since end-session was invoked here). Use it.\n\nConvert the transcript to markdown and write the log file with the approved summary as header:\n\n```bash\npython E:/a327ex/.kimi/scripts/jsonl-to-markdown.py [SESSION_PATH] E:/a327ex/anchor.blot.im/logs/[slug].md\n```\n\nUse lowercase hyphenated slug derived from the title (e.g., \"anchor-primitives-hitstop-animation\").\n\nThen replace the default header (`# Session YYYY-MM-DD...`) with the approved title and summary.\n\n## Step 5: Sync Context Files to Blot\n\n```bash\ncp E:/a327ex/Anchor/docs/* E:/a327ex/anchor.blot.im/context/\n```\n\n**When the session was Anchor2** (optional):\n\n```bash\ncp E:/a327ex/Anchor2/.claude/CLAUDE.md E:/a327ex/anchor.blot.im/context/CLAUDE_ANCHOR2.md\ncp E:/a327ex/Anchor2/docs/* E:/a327ex/anchor.blot.im/context/\n```\n\n## Step 6: Commit Project Repo\n\nIdentify the project repo(s) worked on this session from your own context — you already know which repos were touched and which files changed. For the common projects, here are the canonical staging commands:\n\n| Project | Root | Stage command |\n|---|---|---|\n| Anchor | `E:/a327ex/Anchor` | `git add docs/ framework/ engine/ scripts/ reference/` |\n| Anchor2 | `E:/a327ex/Anchor2` | `git add framework/ engine/ arena/ reference/ scripts/ docs/ .claude/` |\n| emoji-ball-battles | `E:/a327ex/emoji-ball-battles` | `git add -A` |\n| orblike | `E:/a327ex/orblike` | `git add -A` |\n| thalien-lune | `E:/a327ex/thalien-lune` | `git add -A` |\n\nFor a project not listed, infer the root from the files you actually created or modified this session and stage those. If multiple candidate roots look valid, ask the user which files to stage.\n\n`cd` into the project root, stage, run `git status` to verify before committing.\n\n**IMPORTANT — FULL SUMMARY IN COMMIT:** The commit message MUST include the FULL summary from the log file. Read the summary back from the log file to ensure nothing is missing.\n\n**IMPORTANT — COMMIT METHOD:** The summary contains backticks, special characters, and markdown that WILL break heredocs and `git commit -m`. ALWAYS use the file-based method below. NEVER try a heredoc first — it will fail and produce a malformed commit that needs amending.\n\nCommit using a temporary file (extracts only the summary text, not the markdown heading or `## Summary` line):\n\n```bash\n# Extract summary: skip line 1 (# Title) and line 3 (## Summary), take lines 4 onward until the --- separator\nawk 'NR>=4 && /^---$/{exit} NR>=4{print}' E:/a327ex/anchor.blot.im/logs/[slug].md > /tmp/commit_msg.txt\n\n# Prepend the title (plain text, no #) and append attribution\nsed -i \"1i [Title]\\n\" /tmp/commit_msg.txt\nprintf \"\\nGenerated with [Kimi Code CLI](https://kimi.com/coding)\\n\\nCo-Authored-By: Kimi <noreply@moonshot.cn>\\n\" >> /tmp/commit_msg.txt\n\ngit commit -F /tmp/commit_msg.txt\n```\n\n## Step 7: Push Both Repos\n\n```bash\n# Push project repo to GitHub\ngit push origin main\n\n# Push Blot repo (logs and context are already there)\ncd E:/a327ex/anchor.blot.im && git add -A && git commit -m \"[Title]\" && git push origin master\n```\n\n## Step 8: Confirm\n\nTell the user:\n- Commit hash\n- That GitHub push succeeded\n- That Blot push succeeded\n"
}

The user wants me to create new files for the Kimi-specific scripts. I've created all three files. Now I need to test them against the current session to make sure they work. Let me run the find-recent-session script first, then the jsonl-to-markdown script.

{
  "command": "python E:/a327ex/.kimi/scripts/find-recent-session.py --limit 3"
}

<system>Command executed successfully.</system>
2026-04-21T08:39:51.918869 c9faf3df-d202-461a-badf-c1c416bded10 [kimi] <-- MOST RECENT
   Hello, Kimi. Where are the logs for your conversations stored?
   C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10\context.jsonl

The user wants me to port the end-session skill for Kimi. I've created the scripts and the skill file. The find-recent-session script works. Now I need to test the jsonl-to-markdown script to make sure it correctly converts the Kimi context.jsonl to markdown.

{
  "command": "python E:/a327ex/.kimi/scripts/jsonl-to-markdown.py \"C:/Users/adn/.kimi/sessions/6bea328adb6bb5fc16327518cb85cc2c/c9faf3df-d202-461a-badf-c1c416bded10/context.jsonl\" \"E:/a327ex/test-kimi-output.md\""
}

<system>Command executed successfully.</system>
Written to E:/a327ex/test-kimi-output.md

The user wants me to port the end-session skill for Kimi. I've created the scripts and tested find-recent-session.py. Now I should verify the markdown output looks correct by reading the first part of the generated file.

{
  "path": "E:\\a327ex\\test-kimi-output.md",
  "line_offset": 1,
  "n_lines": 80
}

<system>80 lines read from file starting from line 1. Total lines in file: 3135.</system>
     1  # Session 2026-04-21 08:39
     2  
     3  ---
     4  
     5  > Hello, Kimi. Where are the logs for your conversations stored?
     6  
     7  <details>
     8  <summary>[Think]</summary>
     9  
    10  <pre><code>The user is asking about where conversation logs are stored for Kimi Code CLI. This is a question about the tool itself, which falls under the `kimi-cli-help` skill. Let me check what that skill says about logging or conversation storage.</code></pre>
    11  
    12  </details>
    13  
    14  <details>
    15  <summary><code>ReadFile (C:\Users\adn\AppData\Roaming\uv\tools\kimi-cli\Lib\site-packages\kimi_cli\skills\kimi-cli-help\SKILL.md)</code></summary>
    16  
    17  <pre><code>{
    18    "path": "C:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\\Lib\\site-packages\\kimi_cli\\skills\\kimi-cli-help\\SKILL.md"
    19  }</code></pre>
    20  
    21  </details>
    22  
    23  <details>
    24  <summary><code>ReadFile (C:\Users\adn\AppData\Roaming\uv\tools\kimi-cli\Lib\site-packages\kimi_cli\skills\kimi-cli-help\SKILL.md) → result</code></summary>
    25  
    26  <pre><code>&lt;system&gt;55 lines read from file starting from line 1. Total lines in file: 55. End of file reached.&lt;/system&gt;
    27       1  ---
    28       2  name: kimi-cli-help
    29       3  description: Answer Kimi Code CLI usage, configuration, and troubleshooting questions. Use when user asks about Kimi Code CLI installation, setup, configuration, slash commands, keyboard shortcuts, MCP integration, providers, environment variables, how something works internally, or any questions about Kimi Code CLI itself.
... [52 more lines]

The user wants me to port the end-session skill for Kimi. I've created the scripts and tested them. Let me check more of the output to see if the assistant's text responses are rendered correctly. I noticed in the first 80 lines there are think blocks and tool calls, but I haven't seen the actual text response yet. Let me check a bit further down where the first assistant response should be.

{
  "path": "E:\\a327ex\\test-kimi-output.md",
  "line_offset": 150,
  "n_lines": 50
}

<system>50 lines read from file starting from line 150. Total lines in file: 3135.</system>
   150  --------                                      
   151  
   152  C:\Users\adn\AppData\Roaming\uv\tools\kimi-cli
   153  
   154  
   155  
   156  
   157  
   158  </code></pre>
   159  
   160  </details>
   161  
   162  > `Shell (Get-ChildItem -Path "C:\Users\adn\AppData\Roaming\kimi-cli" -Force -ErrorAction ...)` (no output)
   163  
   164  <details>
   165  <summary>[Think]</summary>
   166  
   167  <pre><code>The user is asking about where conversation logs are stored for Kimi Code CLI. Let me search the documentation and source code for more specific information about logging paths.</code></pre>
   168  
   169  </details>
   170  
   171  <details>
   172  <summary><code>FetchURL (https://moonshotai.github.io/kimi-cli/en/faq.md)</code></summary>
   173  
   174  <pre><code>{
   175    "url": "https://moonshotai.github.io/kimi-cli/en/faq.md"
   176  }</code></pre>
   177  
   178  </details>
... [22 more lines]

The user wants me to port the end-session skill for Kimi. I've created the scripts and tested them. The output looks good - tool calls and results are in collapsible details blocks, think blocks are also collapsed. But I notice something: the assistant's actual text response seems to be missing from the output!

Looking at the markdown, I see:
- User message (quoted)
- Think blocks (collapsed)
- Tool calls (collapsed)
- Tool results (collapsed)
- More think blocks
- More tool calls...

But where is the actual assistant text like "For **Kimi Code CLI**, logs and conversation data are stored in..."?

Wait, looking at the context.jsonl earlier, I saw that assistant messages have `content` with both `think` and `text` parts. Let me check if my script is properly outputting the `text` parts.

Looking at my script logic:
```python
for item in content:
    item_type = item.get('type')
    if item_type == 'text':
        text = item.get('text', '')
        if text:
            output += f'{text}\n\n'
    elif item_type == 'think':
        ...
```

This should work. Let me check the output more carefully. Maybe the text response appears later in the file, after all the tool calls for that turn.

{
  "command": "Get-Content E:/a327ex/test-kimi-output.md | Select-String -Pattern \"For \\*\\*Kimi Code CLI\\*\\*\" | Select-Object -First 1"
}

<system>Command executed successfully.</system>

For **Kimi Code CLI**, logs and conversation data are stored in the **`.kimi` directory** under your user home folder.

The user wants me to port the end-session skill for Kimi. I've created the scripts and tested them. The assistant text responses ARE in the output - I just found "For **Kimi Code CLI**..." in the file. Let me verify it's rendered correctly by checking the surrounding context.

{
  "command": "Get-Content E:/a327ex/test-kimi-output.md | Select-String -Pattern \"For \\*\\*Kimi Code CLI\\*\\*\" -Context 3,3"
}

<system>Command executed successfully.</system>

  
  </details>
  
> For **Kimi Code CLI**, logs and conversation data are stored in the **`.kimi` directory** under your user home folder.
  
  On this Windows system, that is:
  
  <pre><code>&lt;system&gt;Command executed successfully.&lt;/system&gt;
  
  
> {"timestamp": 1776770430.1029427, "message": {"type": "ContentPart", "payload": {"type": "text", "text": "For **Kimi Code CLI**, logs and conversation data are stored in the **`.kimi` directory** under 
your 
  
  user home folder.\n\nOn this Windows system, that is:\n\n| What | Path |\n|------|------|\n| **Main diagnostic log** | `C:\\Users\\adn\\.kimi\\logs\\kimi.log` |\n| **Conversation history** | 
  
  
  Actually, that would make sense if the `context.jsonl` is the context sent to the API, and the API returns think tokens plus tool calls. The text response might be generated separately or the think block 
IS the reasoning and the text is sent as a separate message.
  
> But wait - I remember seeing `wire.jsonl` has `ContentPart` with `type: "text"` that says "For **Kimi Code CLI**, logs and conversation data are stored...". That was the actual response text.
  
  So for a complete transcript, we might need to use `wire.jsonl` OR combine `context.jsonl` with `wire.jsonl`.
  
  <summary><code>Shell (Get-Content "$env:USERPROFILE\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9...) �+' result</code></summary>
  
  <pre><code>&lt;system&gt;Command executed successfully.&lt;/system&gt;
> {"role":"assistant","content":[{"type":"think","think":"The user is asking about where conversation logs are stored for Kimi Code CLI. I now have all the information I need to give a complete answer:\n\n1. 
Main diagnostic log: `%USERPROFILE%\\.kimi\\logs\\kimi.log` (on Windows) or `~/.kimi/logs/kimi.log` (on Unix)\n2. Conversation history appears to be in `%USERPROFILE%\\.kimi\\user-history\\` as `.jsonl` 
... [19 more lines]

Wait, looking at the Select-String output more carefully, I can see something odd. The assistant's text response IS in the output, but it seems like there are also some tool results that contain raw JSON from the context.jsonl itself. Let me look at the output more carefully.

Looking at lines from the markdown:
```
> For **Kimi Code CLI**, logs and conversation data are stored in the **`.kimi` directory** under your user home folder.
```

That's correct - the assistant text is being output properly.

But then later I see:
```
> {"timestamp": 1776770430.1029427, "message": {"type": "ContentPart", "payload": {"type": "text", "text": "For **Kimi Code CLI**, logs and conversation data...
```

This looks like it's coming from a tool result! A tool result contained wire.jsonl content. That's because I ran `Select-String` on the wire.jsonl and that got captured as a tool result. That's expected behavior.

And even later:
```
> {"role":"assistant","content":[{"type":"think","think":"...","encrypted":null},{"type":"text","text":"For **Kimi Code CLI**, logs...
```

This is also a tool result - I must have run a command that output the raw context.jsonl line.

So the converter is working correctly. The assistant text responses ARE being rendered. The raw JSON snippets are from tool results where I was examining the context.jsonl format.

Let me verify by looking at a clean section of the output - maybe around the second user message.

{
  "path": "E:\\a327ex\\test-kimi-output.md",
  "line_offset": 1300,
  "n_lines": 60
}

<system>60 lines read from file starting from line 1300. Total lines in file: 3135.</system>
  1300  
  1301  For the end-session workflow, `context.jsonl` is the best source because it contains the full conversation including tool calls and results, but in a structured format.
  1302  
  1303  However, there's a complication: the `context.jsonl` includes internal messages like `_system_prompt`, `_checkpoint`, `_usage` that should be filtered out. And the `user-history` file is simpler but lacks tool call detail.
  1304  
  1305  Actually, looking at the existing Claude skill, it reads from the JSONL transcript and converts to markdown. For Kimi, the most useful transcript would be from `context.jsonl` since it has roles and tool calls.
  1306  
  1307  But wait - the user said "reads the jsonl log for the relevant session and outputs it to Markdown on my website". The simplest approach for Kimi might be to use the `user-history/*.jsonl` file since it's flat and simple. But it lacks tool calls.
  1308  
  1309  Looking at the `context.jsonl` more carefully:
  1310  - `role: "user"` with `content: "..."` or `content: [...]`
  1311  - `role: "assistant"` with `content: [...]` containing `think` and `text` parts, plus `tool_calls`
  1312  - `role: "tool"` with `content: [...]` containing tool results
  1313  - Internal roles: `_system_prompt`, `_checkpoint`, `_usage`
  1314  
  1315  For a good transcript log, we want:
  1316  - User messages
  1317  - Assistant messages (without think blocks, or with them collapsed)
  1318  - Tool calls (collapsed like in the Claude script)
  1319  - Tool results (collapsed)
  1320  
  1321  Now let me think about the architecture:
  1322  
  1323  The user wants me to "port" the end-session skill. The skill references scripts. I should:
  1324  
  1325  1. **Update `find-recent-session.py`** to also find Kimi sessions
  1326  2. **Update `jsonl-to-markdown.py`** to also convert Kimi transcripts  
  1327  3. **Create a new skill** (probably at `.kimi/skills/end-session/SKILL.md` or maybe just update the existing one to support both)
  1328  
... [32 more lines]

The user wants me to port the end-session skill for Kimi. I've created all the files and tested them. The output looks good - the assistant text responses are being rendered correctly. The content I'm seeing at line 1300+ is from a tool result where I was examining the context.jsonl format during this conversation.

Let me now clean up the test file and update my todo list. Then I should summarize what I've done for the user.

Actually, wait. Looking at the output more carefully, I see something concerning. Lines 1300-1359 show what looks like MY OWN THINKING from the current conversation being rendered as regular text in the markdown. Let me trace back to see if that's correct.

At line 1300: "For the end-session workflow, `context.jsonl` is the best source..."
This is text from one of my assistant messages. It's being rendered correctly as regular text (not in a think block). That's because in the context.jsonl, this text appears in a `type: "text"` content part of an assistant message.

But wait - this particular text was never shown to the user! This was part of my internal thinking that got sent as text? No, actually looking at it, this IS text that I output to the user during the conversation. Let me check...

Actually, I think what happened is: during this conversation, I output some text responses and some tool calls. The text responses are being captured correctly. But there's a LOT of content because this is a long conversation with many tool calls.

The converter is working correctly. Let me just clean up the test file and report to the user.

Wait, I should double-check one thing. Looking at the output at line 1300+, it seems like the text is not preceded by any think block or tool call in that section. Let me check if maybe some of my "text" outputs in the context.jsonl are actually think blocks that got rendered as regular text.

Actually no - in my script, `think` blocks are wrapped in `<details><summary>[Think]</summary>...` while `text` blocks are output directly. So if the text at line 1300 is not in a details block, it came from a `type: "text"` part.

But I realize now that some of the `type: "text"` content in Kimi's assistant messages might actually be internal reasoning that shouldn't be shown. Let me check the context.jsonl more carefully.

Actually, in Kimi's format:
- `type: "think"` = the model's reasoning process (not shown to user)
- `type: "text"` = the actual response shown to the user

So my handling is correct. Think blocks are collapsed, text blocks are shown.

Let me now clean up and report.

{
  "command": "Remove-Item E:/a327ex/test-kimi-output.md"
}

{
  "todos": [
    {
      "title": "Update find-recent-session.py with Kimi session discovery",
      "status": "done"
    },
    {
      "title": "Update jsonl-to-markdown.py with Kimi context.jsonl converter",
      "status": "done"
    },
    {
      "title": "Create .kimi/skills/end-session/SKILL.md",
      "status": "done"
    },
    {
      "title": "Test the scripts against current session",
      "status": "done"
    }
  ]
}

<system>Todo list updated</system>
Todo list updated

The user wants me to port the end-session skill for Kimi. I've created all the files and tested them. Let me provide a summary of what I've done.

Files created:
1. `E:\a327ex\.kimi\scripts\find-recent-session.py` - finds recent Kimi sessions from `~/.kimi/sessions/*/*/context.jsonl`
2. `E:\a327ex\.kimi\scripts\jsonl-to-markdown.py` - converts Kimi context.jsonl to markdown with think blocks, tool calls, and results in collapsible details
3. `E:\a327ex\.kimi\skills\end-session\SKILL.md` - the skill file adapted for Kimi

I tested both scripts against the current session and they work correctly.

I should summarize this for the user and maybe mention any considerations or differences from the Claude workflow.

The user is asking how to launch Kimi CLI while bypassing all permissions. This is a question about Kimi Code CLI itself, which falls under the `kimi-cli-help` skill. Let me search the documentation or source code for information about approval modes, yolo mode, auto-approve, or permission bypassing.

Looking at the context, I found earlier in the state.json that there's an `approval` section:
```json
"approval": {
    "yolo": false,
    "auto_approve_actions": [
      "run command"
    ]
  }
```

And in the FAQ, I didn't see specific mention of yolo mode. Let me search the kimi-cli source for yolo, approval, auto-approve, etc.

{
  "pattern": "yolo|approval|auto_approve|permissions|bypass",
  "path": "C:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\\Lib\\site-packages\\kimi_cli",
  "glob": "*.py",
  "output_mode": "content",
  "head_limit": 50
}

{
  "url": "https://moonshotai.github.io/kimi-cli/en/reference/slash-commands.md"
}

<system>Results truncated to 50 lines (total: 476). Use offset=50 to see more.</system>
app.py:126:        yolo: bool = False,
app.py:149:            yolo (bool, optional): Approve all actions without confirmation. Defaults to False.
app.py:218:        # determine yolo mode
app.py:219:        yolo = yolo if yolo else config.default_yolo
app.py:245:            yolo,
app.py:477:            approval_bridge_tasks: dict[str, asyncio.Task[None]] = {}
app.py:478:            forwarded_approval_requests: dict[str, ApprovalRequest] = {}
app.py:480:            async def _bridge_approval_request(request: ApprovalRequest) -> None:
app.py:483:                    assert self._runtime.approval_runtime is not None
app.py:484:                    self._runtime.approval_runtime.resolve(
app.py:488:                    approval_bridge_tasks.pop(request.id, None)
app.py:489:                    forwarded_approval_requests.pop(request.id, None)
app.py:491:            def _forward_approval_request(wire: Wire, request: ApprovalRequest) -> None:
app.py:492:                if request.id in forwarded_approval_requests:
app.py:494:                forwarded_approval_requests[request.id] = request
app.py:495:                if request.id not in approval_bridge_tasks:
app.py:496:                    approval_bridge_tasks[request.id] = asyncio.create_task(
app.py:497:                        _bridge_approval_request(request)
app.py:504:                assert self._runtime.approval_runtime is not None
app.py:509:                    for pending in self._runtime.approval_runtime.list_pending():
app.py:510:                        _forward_approval_request(
app.py:538:                                _forward_approval_request(wire, request)
app.py:543:                                    request := forwarded_approval_requests.get(response.request_id)
app.py:557:                    for task in list(approval_bridge_tasks.values()):
app.py:559:                    for task in list(approval_bridge_tasks.values()):
app.py:562:                    approval_bridge_tasks.clear()
app.py:563:                    forwarded_approval_requests.clear()
background\agent_runner.py:9:from kimi_cli.approval_runtime import (
background\agent_runner.py:11:    reset_current_approval_source,
... [21 more lines]

<system>The returned content is the main content extracted from the page.</system>
```
---
url: /kimi-cli/en/reference/slash-commands.md
---
# Slash Commands

Slash commands are built-in commands for Kimi Code CLI, used to control sessions, configuration, and debugging. Enter a command starting with `/` in the input box to trigger.

::: tip Shell mode
Some slash commands are also available in shell mode, including `/help`, `/exit`, `/version`, `/editor`, `/theme`, `/changelog`, `/feedback`, `/export`, `/import`, and `/task`.
:::

## Help and info

### `/help`

Display help information. Shows keyboard shortcuts, all available slash commands, and loaded skills in a fullscreen pager. Press `q` to exit.

Aliases: `/h`, `/?`

### `/version`

Display Kimi Code CLI version number.

### `/changelog`

Display the changelog for recent versions.

Alias: `/release-notes`
... [306 more lines]

The user is asking how to launch Kimi CLI while bypassing all permissions. Based on my research, I found:

1. There's a `/yolo` slash command that toggles YOLO mode - "When enabled, all operations are automatically approved"
2. In the source code, `app.py` has `yolo: bool = False` parameter and `config.default_yolo`
3. There's also `auto_approve_actions` in the session state

Let me search for more info about the `--yolo` CLI flag and config options.

{
  "pattern": "--yolo|default_yolo|yolo_mode",
  "path": "C:\\Users\\adn\\AppData\\Roaming\\uv\\tools\\kimi-cli\\Lib\\site-packages\\kimi_cli",
  "glob": "*.py",
  "output_mode": "content",
  "head_limit": 40
}

{
  "url": "https://moonshotai.github.io/kimi-cli/en/reference/kimi-command.md"
}

<system>The returned content is the main content extracted from the page.</system>
````
---
url: /kimi-cli/en/reference/kimi-command.md
---
# `kimi` Command

`kimi` is the main command for Kimi Code CLI, used to start interactive sessions or execute single queries.

```sh
kimi [OPTIONS] COMMAND [ARGS]
```

## Basic information

| Option | Short | Description |
|--------|-------|-------------|
| `--version` | `-V` | Show version number and exit |
| `--help` | `-h` | Show help message and exit |
| `--verbose` | | Output detailed runtime information |
| `--debug` | | Log debug information (output to `~/.kimi/logs/kimi.log`) |

## Agent configuration

| Option | Description |
|--------|-------------|
| `--agent NAME` | Use built-in agent, options: `default`, `okabe` |
| `--agent-file PATH` | Use custom agent file |

`--agent` and `--agent-file` are mutually exclusive. See [Agents and Subagents](../customization/agents.md) for details.
... [238 more lines]

The user is asking how to launch Kimi CLI while bypassing all permissions. Based on my research, I have all the information needed:

1. **`--yolo` flag** (also `-y`, `--yes`, `--auto-approve`) - Auto-approves all operations at launch
2. **`/yolo` slash command** - Toggles YOLO mode during a session
3. **`default_yolo = true`** in `~/.kimi/config.toml` - Makes YOLO the default for all new sessions
4. **`--print` mode** - Implicitly enables `--yolo`
5. **`KIMI_CLI_YOLO=1`** environment variable might also work (let me check)

Wait, I didn't find evidence of `KIMI_CLI_YOLO` env var in my grep. Let me not mention it unless I'm sure.

I should present this clearly with the different options.

The user wants me to change their `config.toml` file to set `default_yolo = true`. The config file is at `~/.kimi/config.toml` on Windows, which is `C:\Users\adn\.kimi\config.toml`.

I should read the current config.toml first, then modify it to add or update `default_yolo = true`.

{
  "path": "C:\\Users\\adn\\.kimi\\config.toml"
}

<system>67 lines read from file starting from line 1. Total lines in file: 67. End of file reached.</system>
     1  default_model = "kimi-code/kimi-for-coding"
     2  default_thinking = true
     3  default_yolo = false
     4  default_plan_mode = false
     5  default_editor = ""
     6  theme = "dark"
     7  show_thinking_stream = true
     8  hooks = []
     9  merge_all_available_skills = false
    10  
    11  [models."kimi-code/kimi-for-coding"]
    12  provider = "managed:kimi-code"
    13  model = "kimi-for-coding"
    14  max_context_size = 262144
    15  capabilities = ["thinking", "video_in", "image_in"]
    16  display_name = "Kimi-k2.6"
    17  
    18  [providers."managed:kimi-code"]
    19  type = "kimi"
    20  base_url = "https://api.kimi.com/coding/v1"
    21  api_key = ""
    22  
    23  [providers."managed:kimi-code".oauth]
    24  storage = "file"
    25  key = "oauth/kimi-code"
    26  
    27  [loop_control]
    28  max_steps_per_turn = 500
    29  max_retries_per_step = 3
... [39 more lines]

The user wants me to change `default_yolo = false` to `default_yolo = true` in their config.toml file. This is a simple change.

{
  "path": "C:\\Users\\adn\\.kimi\\config.toml",
  "edit": {
    "old": "default_yolo = false",
    "new": "default_yolo = true"
  }
}

The user asked me to change the config.toml file to make YOLO the default. I did that - changed `default_yolo = false` to `default_yolo = true`. Now I should confirm the change was made correctly.

{
  "command": "Get-Content C:/Users/adn/.kimi/config.toml | Select-String \"default_yolo\""
}

<system>Command executed successfully.</system>

default_yolo = true

The user asked me to change the config.toml file to make YOLO the default. I've done that and verified it. The change is complete. I should let the user know.

The user wants me to run the end-session skill on this conversation. They want to see what it looks like on their website. The title should be "Kimi Code Setup".

Let me follow the skill workflow:

## Step 1: Get Session Info
Title: "Kimi Code Setup" (user provided)
Project: This session touched files in `.kimi/` (new scripts and skill), and also read files from `Anchor2/scripts/`. But the main work was creating the `.kimi/` infrastructure in the project root `E:\a327ex`. So the project is `a327ex` itself, or more specifically, the `.kimi/` setup.

Wait, looking at the staging commands in the skill:
- Anchor | `E:/a327ex/Anchor` | `git add docs/ framework/ engine/ scripts/ reference/`
- Anchor2 | `E:/a327ex/Anchor2` | `git add framework/ engine/ arena/ reference/ scripts/ docs/ .claude/`
- etc.

This session didn't touch Anchor, Anchor2, emoji-ball-battles, orblike, or thalien-lune repos directly (except reading from Anchor2/scripts/). The main files created were in `E:/a327ex/.kimi/`.

But `a327ex` itself is not a git repo (it's a folder containing multiple repos). The `.kimi/` directory is in `E:/a327ex/` which is the project root.

Wait, looking at the working directory tree from the system prompt, `E:\a327ex` contains multiple projects but doesn't seem to be a git repo itself. However, `anchor.blot.im` IS a repo where the logs go.

For the commit step, this session didn't modify any of the listed project repos. It created files in `.kimi/` which is not part of any git repo. So I should skip the project repo commit, or commit just the `.kimi/` files if the user wants. But the user said "so I can see what it looks like on my website" - they want to see the log on blot.im.

Let me think about what the user actually wants:
1. They want to see the end-session workflow executed
2. They want the log posted to their website (anchor.blot.im)
3. They want to see what the Kimi transcript looks like as markdown

So I should:
1. Write the summary
2. Get user approval (but they already gave the title and asked me to run it, so maybe I can proceed)
3. Convert the transcript
4. Write the log file to anchor.blot.im/logs/
5. Sync context files (if any)
6. Commit anchor.blot.im repo
7. Push

Actually, looking at the user's request again: "Now, run the end session skill on this conversation so I can see what it looks like on my website."

They want me to actually execute the full workflow. Let me do it.

But wait - should I commit the project repo? This session created files in `.kimi/` which is not part of any tracked git repo. The staging commands in the skill are for specific projects. Since none of those were modified, I should skip the project commit or ask the user.

Actually, I think the user just wants to see the log on their website. Let me focus on:
1. Writing the summary
2. Converting the transcript
3. Writing to anchor.blot.im/logs/
4. Pushing blot

For the project commit, since no project repo was modified, I'll skip it or mention it.

Let me write the summary first and show it to the user for approval, per the skill instructions.

Wait, but the user said "run the end session skill on this conversation so I can see what it looks like on my website." This is a direct request to execute. And they already gave the title. I think I should show the summary and ask for approval before proceeding to write the file.

Actually, looking at Step 3: "Show the title and summary to the user. Wait for approval before proceeding."

So I need to write the summary and show it to the user. But we're already in the middle of the conversation where the user asked me to run it. I should still show the summary.

Let me write a good summary of this session.

Session topics:
1. **Kimi conversation log locations** - I explained where Kimi stores logs, sessions, and user-history
2. **Porting end-session skill from Claude to Kimi** - The user asked me to read the Claude end-session skill and port it for Kimi
3. **Creating Kimi-specific scripts** - I created `find-recent-session.py` and `jsonl-to-markdown.py` in `.kimi/scripts/`
4. **Creating the end-session skill for Kimi** - I created `.kimi/skills/end-session/SKILL.md`
5. **Testing the scripts** - I tested both scripts against the current session
6. **YOLO mode configuration** - The user asked about bypassing permissions, and I set `default_yolo = true` in config.toml

Let me write the summary.

Actually, I realize the user said "run the end session skill on this conversation so I can see what it looks like on my website." They might want me to just DO it, not show the summary first and wait. But the skill says to wait for approval. Given that the user explicitly asked me to run it, I could interpret that as approval. But to be safe, let me show the summary and say "proceeding since you asked me to run it" or just proceed.

Actually, looking at the flow more carefully, the user is testing the skill. They want to see the full output. I'll write the summary, get the session path, convert it, write the file, and push. But I should show them what I'm doing.

Wait, I should be careful about one thing: the skill says "This skill is invoked from the same conversation where the work was done." But I'm currently IN that conversation. So I have the full context in memory. That's fine.

Let me write the summary and execute the workflow.

For the slug: "kimi-code-setup" (lowercase, hyphenated)

For the log path: `E:/a327ex/anchor.blot.im/logs/kimi-code-setup.md`

Let me also think about the project commit. Since no project repo was modified, I'll skip step 6. But wait - the `.kimi/` directory was created in `E:/a327ex/`. Is `E:/a327ex` a git repo? Let me check.

Actually, looking at the directory listing, `E:/a327ex` contains multiple repos but doesn't have a `.git/` at the top level. So it's not a repo.

For the Blot commit, I'll use the title as the commit message.

For the commit message extraction, the skill says to use `awk` and `sed` on Unix. Since we're on Windows, I need to use PowerShell equivalents or just write the commit message directly.

Actually, looking at the skill instructions, they use Unix commands (`awk`, `sed`, `git commit -F /tmp/commit_msg.txt`). On Windows with Git Bash or WSL, these might work. But I can also just create the commit message file using PowerShell.

Let me think about this step by step:

1. Show summary to user (or just proceed since they asked)
2. Find session path
3. Convert transcript to markdown
4. Prepend summary to the markdown file
5. Write to `E:/a327ex/anchor.blot.im/logs/kimi-code-setup.md`
6. Sync context files (skip - no relevant context files were modified)
7. Commit and push blot

Actually, I think I should just execute it all and show the user the results. They explicitly asked me to run it.

Wait, but there's a problem: the current session is STILL ONGOING. If I convert the transcript now, it will be incomplete because the current turn (this message and my response) hasn't been written to `context.jsonl` yet! The `context.jsonl` is only updated after the turn completes.

Hmm, but the user wants to see what it looks like. Maybe I should proceed with what's there, and the current turn will be missing. That's actually fine for a demo - the transcript up to this point will be captured.

Actually, looking at how Claude's end-session works - it's invoked at the END of the session, after all work is done. The current turn IS the invocation of end-session. So the transcript up to the previous turn is what's captured. That's expected.

Let me proceed.

First, let me write the summary and then execute the commands.

Summary:
```markdown
# Kimi Code Setup

## Summary

Set up Kimi Code CLI tooling by porting the Claude `end-session` skill, creating transcript-to-markdown scripts, and configuring YOLO mode.

**Conversation Log Locations:**

- Explained that Kimi stores diagnostic logs in `~/.kimi/logs/kimi.log`, session context in `~/.kimi/sessions/<hash>/<session_id>/context.jsonl`, and simplified history in `~/.kimi/user-history/`
- On this Windows system: `C:\Users\adn\.kimi\`

**End-Session Skill Port:**

- Read the existing Claude skill at `.claude/skills/end-session/SKILL.md`
- Analyzed Kimi's `context.jsonl` format: role-based messages (`user`, `assistant`, `tool`, `_system_prompt`, `_checkpoint`, `_usage`), with assistant content containing `think` and `text` parts plus `tool_calls`
- Created `.kimi/scripts/find-recent-session.py` to discover recent Kimi sessions from `~/.kimi/sessions/*/*/context.jsonl`, sorted by file mtime
- Created `.kimi/scripts/jsonl-to-markdown.py` to convert Kimi `context.jsonl` to Markdown:
  - User messages blockquoted with `>`
  - Think blocks in collapsible `<details>` blocks
  - Assistant text rendered as normal Markdown
  - Tool calls and results in collapsible blocks with syntax-highlighted JSON
  - Internal messages filtered out
- Created `.kimi/skills/end-session/SKILL.md` mirroring the Claude workflow, adapted for Kimi paths and attribution
- Tested both scripts against the current session successfully

**YOLO Mode Configuration:**

- Explained three ways to bypass approvals: `--yolo` flag, `/yolo` slash command, and `default_yolo = true` in config
- Changed `C:\Users\adn\.kimi\config.toml` to set `default_yolo = true`
```

Now let me execute the workflow. I'll run the commands and report back.

Actually, let me reconsider. The user said "Name it 'Kimi Code Setup'". I should use that exact title.

Let me also make sure the markdown file gets the summary prepended correctly. The script outputs a default header `# Session 2026-04-21 08:39\n\n---\n\n`. I need to replace that with the title and summary.

Let me execute step by step using Shell commands.

Actually, since the current turn is still in progress, the context.jsonl might not have the latest messages. But that's okay.

Let me run the commands.

{
  "command": "python E:/a327ex/.kimi/scripts/find-recent-session.py --limit 1"
}

<system>Command executed successfully.</system>
2026-04-21T08:44:32.686822 c9faf3df-d202-461a-badf-c1c416bded10 [kimi] <-- MOST RECENT
   Hello, Kimi. Where are the logs for your conversations stored?
   C:\Users\adn\.kimi\sessions\6bea328adb6bb5fc16327518cb85cc2c\c9faf3df-d202-461a-badf-c1c416bded10\context.jsonl