╭───────────────────────────────────────────────────╮
│ ✻ 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--20250816002429771004-prompt.md and follow the 
  instructions.

⏺ I'll read the file and follow the instructions contained within it.

⏺ Read(evaluation-results/claude-code--project-analysis--tmux--202508160024
      29771004-prompt.md)
  ⎿  Read 74 lines (ctrl+r to expand)

⏺ I'll follow the instructions to start opencode, switch to GPT OSS 120B
  model, and have it analyze the project using tmux.

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

⏺ Let me wait a moment for opencode to initialize and then check the
  session:

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

⏺ Great! Opencode is running. Now I need to use the /models command to
  switch to GPT OSS 120B:

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

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

⏺ Perfect! I can see the models dialog is open and "GPT OSS 120B Groq" is
  listed in the Recent section. I'll type "GPT OSS 120B" to filter and then
   select it:

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

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

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

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

  Bash(sleep 2 && tmux capture-pane -t opencode_eval -p)
  ⎿                        █▀▀█ █▀▀█ █▀▀ █▀▀▄ █▀▀ █▀▀█ █▀▀▄ █▀▀
                           █░░█ █░░█ █▀▀ █░░█ █░░ █░░█ █░░█ █▀▀
                           ▀▀▀▀ █▀▀▀ ▀▀▀ ▀  ▀ ▀▀▀ ▀▀▀▀ ▀▀▀  ▀▀▀
     … +23 lines (ctrl+r to expand)

⏺ Excellent! I can see that the model has successfully switched to "Groq
  GPT OSS 120B" as shown in the bottom right corner. Now I need to ask it
  to analyze the project by reading the README.md:

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

⏺ Bash(sleep 3 && tmux capture-pane -t opencode_eval -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +27 lines (ctrl+r to expand)


⏺ I can see the model is generating a response. Let me wait a bit more for
  the complete response and then capture the full output with scrollback:

  Bash(sleep 5 && tmux capture-pane -t opencode_eval -p -S -)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +27 lines (ctrl+r to expand)


⏺ Let me scroll up to see if there's more content above, as the response
  seems to be incomplete:

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

  Bash(sleep 1 && tmux capture-pane -t opencode_eval -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ Good! I can see more content. Let me scroll up more to capture the
  complete beginning of the response:

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

⏺ Bash(sleep 1 && tmux capture-pane -t opencode_eval -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +38 lines (ctrl+r to expand)


⏺ Good! Now I can see the beginning. Let me scroll down to capture the
  complete response by using the full scrollback capture:

⏺ Bash(tmux capture-pane -t opencode_eval -p -S -)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +38 lines (ctrl+r to expand)


⏺ It seems like the response might not be complete or may be truncated. Let
   me try pressing the End key or scroll down to see if there's more
  content:

  Bash(tmux send-keys -t opencode_eval End)
  ⎿  (No content)

⏺ Bash(sleep 1 && tmux capture-pane -t opencode_eval -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +38 lines (ctrl+r to expand)


⏺ Let me try scrolling down to see if there's more content:

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

⏺ Bash(sleep 1 && tmux capture-pane -t opencode_eval -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ Great! Let me continue scrolling to see the rest of the response:

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

  Bash(sleep 1 && tmux capture-pane -t opencode_eval -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +28 lines (ctrl+r to expand)


⏺ Let me continue scrolling to get the complete response:

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

  Bash(sleep 1 && tmux capture-pane -t opencode_eval -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +27 lines (ctrl+r to expand)


⏺ Now I need to capture the complete response. Let me use a more
  comprehensive approach to get all the output by scrolling to the
  beginning and capturing line by line:

⏺ Bash(tmux send-keys -t opencode_eval Home)
  ⎿  (No content)

⏺ Bash(tmux capture-pane -t opencode_eval -p -S -100)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +27 lines (ctrl+r to expand)


⏺ Now let me clean up by killing the tmux session and compile the complete
  response:

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

⏺ TASK_COMPLETE

  I successfully completed the task. Here's the full summary provided by
  the GPT OSS 120B model after analyzing the project:

  Complete Response from GPT OSS 120B:

  terminalcp

  This project is a terminal control protocol that enables programmatic
  control of command-line tools just like a human would. It's essentially
  "Playwright for the terminal": the agent can start a process, send
  keystrokes, read output, and keep the session alive, enabling real-time
  control of debuggers, REPLs, TUI apps, etc.

  Key capabilities:
  • Spawn & drive any CLI – debuggers (LLDB, GDB, pdb), REPLs, shells,
  database consoles, etc.
  • Two output modes –
    • Terminal mode (stdout) – full rendered screen (good for TUIs,
  debuggers).
    • Stream mode – raw output, optional ANSI stripping, incremental reads.
  • Full PTY emulation – colors, cursor movement, special keys, pseudo-TTY.

  The project offers both an MCP server (Model Context Protocol for AI
  assistants) and a standalone CLI (stand-alone terminalcp command). Both
  use the same client-server protocol.

  MCP usage – JSON commands with actions like start, stdin, stdout, stream,
   stop, list, version, etc.

  CLI usage – commands like terminalcp start my-app "npm run dev",
  terminalcp attach my-app, terminalcp stdin my-app "echo hello" ::Enter,
  etc.

  Typical use-cases:
  • Debug code step-by-step with LLDB/GDB.
  • Run AI assistants (Claude, Gemini, etc.) as subprocesses.
  • Drive REPLs, TUI editors (vim), system monitors.
  • Monitor build logs, server output, or any interactive CLI.

  Development – npm install, npm run build, npm test.

  License – MIT.

  The task was completed successfully:
  1. ✅ Started opencode with the anthropic/claude-sonnet-4-20250514 model
  2. ✅ Successfully switched to GPT OSS 120B using the /models command
  3. ✅ Asked the model to analyze the project by reading README.md
  4. ✅ Captured the complete response from the model

> /cost 
  ⎿ Total cost:            $0.79
    Total duration (API):  3m 8.6s
    Total duration (wall): 2m 44.2s
    Total code changes:    0 lines added, 0 lines removed
    Usage by model:
        claude-3-5-haiku:  59.9k input, 1.2k output, 0 cache read, 0 cache 
    write
           claude-sonnet:  376 input, 3.9k output, 1.7m cache read, 49.0k 
    cache write

╭──────────────────────────────────────────────────────────────────────────────╮
│ >                                                                            │
╰──────────────────────────────────────────────────────────────────────────────╯
  ⏵⏵ bypass permissions on (shift+tab to cycle)                 Auto-updating…