╭───────────────────────────────────────────────────╮
│ ✻ Welcome to Claude Code!                         │
│                                                   │
│   /help for help, /status for your current setup  │
│                                                   │
│   cwd: /Users/badlogic/workspaces/tuicp           │
╰───────────────────────────────────────────────────╯

> Read /Users/badlogic/workspaces/tuicp/evaluation-results/claude-code--pro
  ject-analysis--tmux--20250816003020730006-prompt.md and follow the 
  instructions.

⏺ Read(evaluation-results/claude-code--project-analysis--tmux--202508160030
      20730006-prompt.md)
  ⎿  Read 74 lines (ctrl+r to expand)

⏺ I'll complete this task using tmux to start opencode, switch to GPT OSS
  120B, and ask it to analyze the project.

⏺ Bash(tmux new-session -d -s opencode_analysis "opencode --model
      anthropic/claude-sonnet-4-20250514" \; set remain-on-exit on)
  ⎿  (No content)

⏺ Bash(sleep 3 && tmux capture-pane -t opencode_analysis -p)
  ⎿                        █▀▀█ █▀▀█ █▀▀ █▀▀▄ █▀▀ █▀▀█ █▀▀▄ █▀▀
                           █░░█ █░░█ █▀▀ █░░█ █░░ █░░█ █░░█ █▀▀
                           ▀▀▀▀ █▀▀▀ ▀▀▀ ▀  ▀ ▀▀▀ ▀▀▀▀ ▀▀▀  ▀▀▀
     … +23 lines (ctrl+r to expand)

⏺ Good! Opencode has started. Now I'll use the /models command to switch to
   GPT OSS 120B:

⏺ Bash(tmux send-keys -t opencode_analysis "/models" Enter)
  ⎿  (No content)

  Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿             ┃                                                       ┃
                ┃   Select Model                                  esc   ┃
                ┃                                                       ┃
     … +23 lines (ctrl+r to expand)

⏺ Perfect! I can see the models dialog is open and "GPT OSS 120B" appears
  in the recent models. I'll type "GPT OSS 120B" to filter to it:

⏺ Bash(tmux send-keys -t opencode_analysis "GPT OSS 120B")
  ⎿  (No content)

  Bash(sleep 1 && tmux capture-pane -t opencode_analysis -p)
  ⎿             ┃                                                       ┃
                ┃   Select Model                                  esc   ┃
                ┃                                                       ┃
     … +23 lines (ctrl+r to expand)

⏺ Great! The filter shows both GPT OSS 120B options. I'll select the first
  one (Groq) by pressing Enter:

⏺ Bash(tmux send-keys -t opencode_analysis Enter)
  ⎿  (No content)

⏺ Bash(sleep 3 && tmux capture-pane -t opencode_analysis -p)
  ⎿                        █▀▀█ █▀▀█ █▀▀ █▀▀▄ █▀▀ █▀▀█ █▀▀▄ █▀▀
                           █░░█ █░░█ █▀▀ █░░█ █░░ █░░█ █░░█ █▀▀
                           ▀▀▀▀ █▀▀▀ ▀▀▀ ▀  ▀ ▀▀▀ ▀▀▀▀ ▀▀▀  ▀▀▀
     … +23 lines (ctrl+r to expand)

⏺ Excellent! I can see at the bottom right that the model has successfully
  switched to "Groq GPT OSS 120B". Now I'll prompt it to analyze the
  project by reading the README.md:

  Bash(tmux send-keys -t opencode_analysis "Read README.md explain what
      this project does" Enter)
  ⎿  (No content)

⏺ Bash(sleep 5 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ The model is responding! I can see it's starting to explain the project.
  Let me wait for the complete response and then capture it:

⏺ Bash(sleep 10 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ The response seems to be complete, but let me scroll up to capture the
  full response using tmux's scrollback feature:

  Bash(tmux capture-pane -t opencode_analysis -p -S -50)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ It seems the response is quite brief. Let me try scrolling up more to see
   if there's additional content above:

⏺ Bash(tmux capture-pane -t opencode_analysis -p -S -)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ The response appears to be quite short and incomplete. It seems like the
  model may not have provided a full analysis. Let me wait a bit longer and
   check if there's more content being generated:

  Bash(sleep 15 && tmux capture-pane -t opencode_analysis -p -S -)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ I notice the response seems incomplete and very brief. Let me try
  pressing Enter or scrolling within the interface to see if there's more
  content or if the model is still processing:

⏺ Bash(tmux send-keys -t opencode_analysis PageUp)
  ⎿  (No content)

  Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ Good! Now I can see more content. Let me continue scrolling to see the
  complete response:

  Bash(tmux send-keys -t opencode_analysis PageUp)
  ⎿  (No content)

⏺ Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +30 lines (ctrl+r to expand)


⏺ Let me continue scrolling to get the complete response:

⏺ Bash(tmux send-keys -t opencode_analysis PageUp)
  ⎿  (No content)

  Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ Let me continue scrolling to see more of the beginning:

  Bash(tmux send-keys -t opencode_analysis PageUp)
  ⎿  (No content)

⏺ Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +27 lines (ctrl+r to expand)


⏺ Let me continue scrolling to get the complete beginning of the response:

⏺ Bash(tmux send-keys -t opencode_analysis PageUp)
  ⎿  (No content)

  Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ Let me continue scrolling to get the very beginning:

  Bash(tmux send-keys -t opencode_analysis PageUp)
  ⎿  (No content)

⏺ Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ Let me continue scrolling to get the absolute beginning:

⏺ Bash(tmux send-keys -t opencode_analysis PageUp)
  ⎿  (No content)

  Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +31 lines (ctrl+r to expand)


⏺ Let me try one more scroll to get the very beginning:

  Bash(tmux send-keys -t opencode_analysis PageUp)
  ⎿  (No content)

⏺ Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +36 lines (ctrl+r to expand)


⏺ Perfect! Now I have the complete response. Let me scroll back down to see
   the end to make sure I have everything:

  Bash(tmux send-keys -t opencode_analysis PageDown PageDown PageDown
      PageDown PageDown)
  ⎿  (No content)

⏺ Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


  Bash(tmux send-keys -t opencode_analysis PageDown)
  ⎿  (No content)

⏺ Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +30 lines (ctrl+r to expand)


⏺ Bash(tmux send-keys -t opencode_analysis PageDown)
  ⎿  (No content)

  Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


  Bash(tmux send-keys -t opencode_analysis PageDown)
  ⎿  (No content)

⏺ Bash(sleep 2 && tmux capture-pane -t opencode_analysis -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ Now I'll clean up the tmux session:

  Bash(tmux kill-session -t opencode_analysis)
  ⎿  (No content)

⏺ Perfect! I have successfully completed the task. Here's the full summary
  provided by GPT OSS 120B model:

  Complete Response from GPT OSS 120B:

  Project Overview – terminalcp

  terminalcp is a Node-JS library and CLI that lets AI agents (or any
  program) control interactive command-line tools just like a human would.
  It provides a "Playwright-for-the-terminal"-style interface that can:

  • Spawn and manage any CLI process (debuggers, REPLs, build tools, etc.)
  in a pseudo-TTY.
  • Send keystrokes, special keys, and control sequences to those
  processes.
  • Read output either as a full rendered screen (for TUIs, debuggers,
  etc.) or as a raw stream (for logs, builds, etc.).
  • Run multiple sessions simultaneously, with each session persisting
  across client disconnects.
  • Allow users to attach to AI-spawned sessions (like screen/tmux) to
  watch or intervene in real-time.

  Key Features

  | Capability               | Description
                                                                         |
  |--------------------------|---------------------------------------------
  -----------------------------------------------------------------------|
  | Process control          | Start/stop processes, set working directory,
   give them a human-readable name.                                      |
  | Input handling           | Send text, arrow keys, Ctrl-C, etc., via
  escape-sequence strings.
   |
  | Output modes             | stdout – full rendered screen (good for
  TUIs, debuggers). stream – raw incremental output (good for logs,
  builds). |
  | Session management       | List, stop individual or all sessions;
  sessions survive server restarts.
     |
  | MCP integration          | Exposes a single JSON-based tool
  (terminalcp) for AI-agents via the Model-Context-Protocol (MCP).
           |
  | CLI                      | Stand-alone commands (terminalcp start …,
  terminalcp attach …, terminalcp stdout …, etc.).
  |
  | Programmatic API         | TerminalManager class for programmatic
  control (start, sendInput, stdout, stream, stop).
     |
  | Persistence & multi-user | Sessions persist across server restarts;
  multiple users can attach to the same session.
   |
  | Cross-client support     | Works with any MCP client (Claude Code, VS
  Code, Cursor, Windsurf, etc.).                                          |

  How It Works

  1. TerminalManager – core library using node-pty and a headless xterm.js
  to emulate a full terminal.
  2. TerminalServer – background process that holds all sessions, listening
   on a Unix-socket.
  3. TerminalClient – used by both the MCP server and the CLI to talk to
  the server.
  4. User Interfaces – MCP server (exposes terminalcp tool) and CLI
  (stand-alone commands) both use the same client.

  Typical Use Cases

  • Debug code step-by-step with LLDB/GDB/pdb.
  • Run REPLs, database shells, or any interactive CLI.
  • Drive AI-coding assistants (Claude, Gemini, etc.) as subprocesses.
  • Automate TUI testing (e.g., vim, htop) or monitor long-running builds.
  • Attach from a real terminal to watch or intervene in AI-spawned
  processes.

  Installation & Usage

  • Install via npm (or npx), add an MCP server config (JSON) to your AI
  client, then use JSON commands like {"action":"start", "command":"python3
   -i","name":"py-repl"}.
  • CLI commands: terminalcp start my-app "npm run dev", terminalcp stdin
  my-app "echo hello" ::Enter, terminalcp stdout my-app`, etc.

  License – MIT.

  TASK_COMPLETE

> /cost 
  ⎿ Total cost:            $1.13
    Total duration (API):  3m 56.5s
    Total duration (wall): 4m 4.2s
    Total code changes:    0 lines added, 0 lines removed
    Usage by model:
        claude-3-5-haiku:  72.5k input, 1.6k output, 0 cache read, 0 cache 
    write
           claude-sonnet:  478 input, 5.5k output, 2.6m cache read, 56.9k 
    cache write

╭──────────────────────────────────────────────────────────────────────────────╮
│ >                                                                            │
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