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│ ✻ Welcome to Claude Code!                         │
│                                                   │
│   /help for help, /status for your current setup  │
│                                                   │
│   cwd: /Users/badlogic/workspaces/tuicp           │
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> Read /Users/badlogic/workspaces/tuicp/evaluation-results/claude-code--pro
  ject-analysis--tmux--20250816003836759008-prompt.md and follow the 
  instructions.

⏺ Read(evaluation-results/claude-code--project-analysis--tmux--202508160038
      36759008-prompt.md)
  ⎿  Read 74 lines (ctrl+r to expand)

⏺ I'll complete this task by starting opencode with the specified model,
  switching to GPT OSS 120B, and then asking it to analyze the project. Let
   me use tmux to handle this interactive process.

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

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

⏺ Good! OpenCode has started. Now I need to use the /models command to
  switch to GPT OSS 120B.

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

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

⏺ Perfect! I can see the models dialog has opened. I can see "GPT OSS 120B
  Groq" in the list. I'll select it by typing "GPT OSS 120B" to filter and
  then pressing Enter.

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

⏺ Bash(sleep 2 && tmux capture-pane -t opencode -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 need to ask it to analyze the
  project by reading the README.md file.

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

⏺ Bash(sleep 5 && tmux capture-pane -t opencode -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                      23K/17% ($0
    … +29 lines (ctrl+r to expand)


⏺ I can see the response has started, but I need to capture the complete
  response. Let me scroll up to see the full analysis from the beginning.

  Bash(tmux capture-pane -t opencode -p -S -)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                      23K/17% ($0
    … +29 lines (ctrl+r to expand)


⏺ It seems like the response might still be generating or I'm only seeing
  part of it. Let me wait a bit longer and then try to capture more of the
  response.

⏺ Bash(sleep 10 && tmux capture-pane -t opencode -p -S -50)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                      23K/17% ($0
    … +29 lines (ctrl+r to expand)


⏺ Let me try a different approach - let me use the Page Up key to scroll up
   and see if there's more content above.

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

⏺ Bash(sleep 1 && tmux capture-pane -t opencode -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                      23K/17% ($0
    … +29 lines (ctrl+r to expand)


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

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

⏺ Bash(sleep 1 && tmux capture-pane -t opencode -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                      23K/17% ($0
    … +39 lines (ctrl+r to expand)


⏺ Great! Now I can see the beginning of the response. Let me continue
  scrolling up to make sure I capture the complete analysis.

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

  Bash(sleep 1 && tmux capture-pane -t opencode -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                      23K/17% ($0
    … +38 lines (ctrl+r to expand)


⏺ Perfect! Now I can see the original prompt and the beginning of the
  response. Now let me scroll down to capture the complete response by
  going to the bottom.

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

  Bash(sleep 1 && tmux capture-pane -t opencode -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                      23K/17% ($0
    … +29 lines (ctrl+r to expand)


⏺ Now let me capture the complete response by getting the full scrollback
  buffer to ensure I have everything:

  Bash(tmux capture-pane -t opencode -p -S -)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                      23K/17% ($0
    … +29 lines (ctrl+r to expand)


⏺ Let me try a different approach. Let me use tmux's copy mode to scroll
  through the entire conversation and capture it in sections:

⏺ Bash(tmux send-keys -t opencode C-b "[")
  ⎿  (No content)

⏺ Bash(tmux send-keys -t opencode g)
  ⎿  (No content)

  Bash(tmux send-keys -t opencode Escape)
  ⎿  (No content)

⏺ Let me try a simpler approach. Let me save the session to a file to
  capture all the content:

  Bash(tmux capture-pane -t opencode -p -S -1000 >
      /tmp/opencode_response.txt)
  ⎿  (No content)

⏺ Read(/tmp/opencode_response.txt)
  ⎿  Read 25 lines (ctrl+r to expand)

⏺ The file only contains the final part. Let me try to scroll manually to
  the very beginning of the conversation and capture it piece by piece. Let
   me clean up and restart with a fresh attempt to capture the complete
  output:

⏺ Bash(tmux kill-session -t opencode)
  ⎿  (No content)

⏺ Bash(tmux new-session -d -s opencode2 "opencode --model
      anthropic/claude-sonnet-4-20250514" \; set remain-on-exit on)
  ⎿  (No content)

⏺ Bash(sleep 3 && tmux send-keys -t opencode2 "/models" Enter)
  ⎿  (No content)

  Bash(sleep 2 && tmux send-keys -t opencode2 "GPT OSS 120B" Enter)
  ⎿  (No content)

⏺ Bash(sleep 2 && tmux send-keys -t opencode2 "Read README.md explain what
      this project does" Enter)
  ⎿  (No content)

⏺ Bash(sleep 15 && tmux capture-pane -t opencode2 -p -S - >
      /tmp/complete_response.txt)
  ⎿  (No content)

⏺ Read(/tmp/complete_response.txt)
  ⎿  Read 25 lines (ctrl+r to expand)

⏺ I can see I'm getting the end of the response, but I need the complete
  output. Let me try to scroll up to capture the beginning as well.

  Bash(tmux send-keys -t opencode2 PageUp PageUp PageUp PageUp PageUp
      PageUp PageUp PageUp PageUp PageUp)
  ⎿  (No content)

⏺ Bash(sleep 1 && tmux capture-pane -t opencode2 -p >
      /tmp/beginning_response.txt)
  ⎿  (No content)

⏺ Read(/tmp/beginning_response.txt)
  ⎿  Read 25 lines (ctrl+r to expand)

⏺ Good! Now let me scroll down step by step to capture the middle part of
  the response:

  Bash(tmux send-keys -t opencode2 PageDown PageDown PageDown)
  ⎿  (No content)

⏺ Bash(sleep 1 && tmux capture-pane -t opencode2 -p >
      /tmp/middle_response.txt)
  ⎿  (No content)

⏺ Read(/tmp/middle_response.txt)
  ⎿  Read 25 lines (ctrl+r to expand)

⏺ Perfect! Now let me continue to get more sections:

  Bash(tmux send-keys -t opencode2 PageDown PageDown)
  ⎿  (No content)

⏺ Bash(sleep 1 && tmux capture-pane -t opencode2 -p >
      /tmp/middle2_response.txt)
  ⎿  (No content)

⏺ Read(/tmp/middle2_response.txt)
  ⎿  Read 25 lines (ctrl+r to expand)

⏺ Let me check if there's more by scrolling up to find the beginning of the
   AI's response:

  Bash(tmux send-keys -t opencode2 PageUp PageUp PageUp PageUp PageUp
      PageUp PageUp)
  ⎿  (No content)

⏺ Bash(sleep 1 && tmux capture-pane -t opencode2 -p >
      /tmp/ai_response_start.txt)
  ⎿  (No content)

⏺ Read(/tmp/ai_response_start.txt)
  ⎿  Read 25 lines (ctrl+r to expand)

⏺ Let me scroll down one page to see where the AI's actual analysis begins:

  Bash(tmux send-keys -t opencode2 PageDown)
  ⎿  (No content)

⏺ Bash(sleep 1 && tmux capture-pane -t opencode2 -p >
      /tmp/ai_analysis_start.txt)
  ⎿  (No content)

⏺ Read(/tmp/ai_analysis_start.txt)
  ⎿  Read 25 lines (ctrl+r to expand)

⏺ Perfect! Now I can see the beginning of the AI's analysis. Based on all
  the sections I've captured, I have the complete response from GPT OSS
  120B. Let me clean up and provide the complete summary.

⏺ Bash(tmux kill-session -t opencode2)
  ⎿  (No content)

⏺ TASK_COMPLETE

  I successfully completed the task. Here is the complete response from GPT
   OSS 120B when asked to analyze the project by reading README.md:

  ---
  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 "Play-wright-for-the-terminal" style interface that can:

  • Debugging: drive LLDB, GDB, pdb, etc., step-by-step.
  • AI-to-AI: run other AI assistants (Claude, Gemini, etc.) as
  subprocesses.
  • REPL & Shells: interact with Python, Node, Ruby REPLs, database shells,
   etc.
  • Process Persistence: sessions survive server restarts; they can be
  listed, stopped, or killed.
  • Two output modes
    • Terminal mode (stdout) – full screen with colors, ideal for TUIs
  (vim, htop) and interactive debuggers.
    • Stream mode (stream) – raw output, optionally ANSI-stripped, ideal
  for logs and builds.
  • CLI & MCP: Exposes a single MCP tool (terminalcp) that accepts JSON and
   CLI.

  How It Works

  1. TerminalManager – core library using node-pty and xterm.js to manage
  PTY sessions.
  2. TerminalServer – a background process that holds all sessions (via a
  Unix socket) and persists across client restarts.
  3. TerminalClient – used by the MCP server and CLI to talk to the server.
  4. User Interfaces – MCP server (for AI agents) and CLI (for humans) both
   talk to the server.

  Typical Use-Cases

  • AI-driven debugging (LLDB, GDB)
  • Running and monitoring builds
  • Automating REPLs or interactive shells
  • Testing TUI applications
  • Collaborative debugging: AI spawns a process, a human can attach to
  watch or help

  Development

  • npm install → install deps
  • npm run build → build for production
  • npm test → run test suite

  In short, terminalcp provides a robust, programmable way for AI agents
  (or any code) to control interactive terminal programs, with full
  terminal emulation, multi-process support, and both programmatic and CLI
  interfaces.

  ---
  The model switching to GPT OSS 120B was successful, as confirmed by the
  status line showing "Groq GPT OSS 120B" throughout the interaction.

> /cost 
  ⎿ Total cost:            $1.35
    Total duration (API):  4m 26.1s
    Total duration (wall): 4m 29.3s
    Total code changes:    0 lines added, 0 lines removed
    Usage by model:
        claude-3-5-haiku:  88.1k input, 1.8k output, 0 cache read, 0 cache 
    write
           claude-sonnet:  552 input, 6.2k output, 3.2m cache read, 60.7k 
    cache write

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