╭───────────────────────────────────────────────────╮
│ ✻ 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--20250816001723754002-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--202508160017
      23754002-prompt.md)
  ⎿  Read 74 lines (ctrl+r to expand)

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

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

⏺ Bash(sleep 3)
  ⎿  (No content)

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

⏺ Now I'll use the /models command to switch to GPT OSS 120B:

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

⏺ Bash(sleep 2)
  ⎿  (No content)

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

⏺ I can see the models dialog with GPT OSS 120B options available. I'll
  type "GPT OSS 120B" to filter and then select it:

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

⏺ Bash(sleep 1)
  ⎿  (No content)

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

⏺ Perfect! The models are filtered to show GPT OSS 120B options. I'll
  select the first one by pressing Enter:

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

⏺ Bash(sleep 3)
  ⎿  (No content)

⏺ Bash(tmux capture-pane -t opencode_session -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_session "Read README.md explain what this
       project does" Enter)
  ⎿  (No content)

⏺ Bash(sleep 5)
  ⎿  (No content)

  Bash(tmux capture-pane -t opencode_session -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +29 lines (ctrl+r to expand)


⏺ I can see the response is in progress. Let me wait a bit more and then
  capture the full scrollback to get the complete response:

⏺ Bash(sleep 3)
  ⎿  (No content)

⏺ Bash(tmux capture-pane -t opencode_session -p -S -)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +29 lines (ctrl+r to expand)


⏺ Let me wait a bit more for the response to complete and then check again:

⏺ Bash(sleep 5)
  ⎿  (No content)

⏺ Bash(tmux capture-pane -t opencode_session -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +29 lines (ctrl+r to expand)


⏺ Let me scroll up to see if there's more content above the current view:

  Bash(tmux capture-pane -t opencode_session -p -S -50)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +29 lines (ctrl+r to expand)


⏺ It appears the response might still be generating or may be complete but
  showing in the viewport. Let me try to send a newline to see if there's
  more content or scroll to see the full response:

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

⏺ Bash(tmux capture-pane -t opencode_session -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 up to see the beginning of the response:

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

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


⏺ Let me scroll up even more to see the very beginning:

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

⏺ Bash(tmux capture-pane -t opencode_session -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +38 lines (ctrl+r to expand)


⏺ Perfect! Now I can see the beginning. Let me capture the full scrollback
  to get the complete response:

⏺ Bash(tmux capture-pane -t opencode_session -p -S -)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +38 lines (ctrl+r to expand)


⏺ Now let me scroll down through the response to capture all the content:

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

  Bash(tmux capture-pane -t opencode_session -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +33 lines (ctrl+r to expand)


⏺ Let me continue to see the complete response by scrolling through all
  pages:

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

⏺ Bash(tmux capture-pane -t opencode_session -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_session PageDown PageDown)
  ⎿  (No content)

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


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

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


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

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


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

⏺ Bash(tmux capture-pane -t opencode_session -p)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    23.1K/17% ($0
    … +29 lines (ctrl+r to expand)


⏺ Perfect! I can see the complete response. Now let me clean up by killing
  the tmux session:

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

⏺ COMPLETE RESPONSE FROM GPT OSS 120B MODEL

  I successfully switched from Claude Sonnet 4 to GPT OSS 120B and captured
   the complete response. Here is the full analysis provided by the GPT OSS
   120B model:

  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:

  Capabilities Table:

  | Capability       | Description
                                                        |
  |------------------|-----------------------------------------------------
  ------------------------------------------------------|
  | Debugging        | Run LLDB, GDB, pdb, etc., step-by-step.
                                                        |
  | AI Collaboration | Run other AI tools (Claude, Gemini, etc.) as
  subprocesses.                                                |
  | REPL & Shells    | Interact with Python, Node, Ruby REPLs, DB shells,
  etc.                                                   |
  | CLI & MCP        | Exposes a single MCP tool (terminaljson) for AI
  clients and a standalone CLI (terminalcp) for manual use. |
  | Attachment       | Users can attach to any session from their own
  terminal (like screen/tmux).                               |
  | Persistence      | Sessions survive server restarts; named sessions
  give human-readable logs.                                |

  Typical Use-Cases:
  • AI-driven debugging – start lldb, send break, run, get backtrace.
  • Automated testing of TUIs – drive vim, htop, or any interactive UI.
  • Continuous log monitoring – stream build logs, watch for new output.
  • Collaborative sessions – AI spawns a process, a human attaches to watch
   or intervene.

  Quick CLI Example:
  # Start a session
  terminalcp start my-app "npm run dev"

  # Send input (including special keys)
  terminalcp stdin my-app "echo hello" ::Enter

  # Get rendered screen
  terminalcp stdout my-app

  # Stream new output only
  terminalcp stream my-app --since-last

  # Stop the session
  terminalcp stop my-app

  Summary:
  In short, terminalcp provides a programmable, persistent, and
  fully-emulated terminal environment that AI agents (or any code) can
  control programmatically, enabling sophisticated automation, testing, and
   collaborative debugging of any interactive CLI tool.

  TASK_COMPLETE

> /cost 
  ⎿ Total cost:            $1.05
    Total duration (API):  3m 35.8s
    Total duration (wall): 3m 14.2s
    Total code changes:    0 lines added, 0 lines removed
    Usage by model:
        claude-3-5-haiku:  58.3k input, 1.6k output, 0 cache read, 0 cache 
    write
           claude-sonnet:  504 input, 5.1k output, 2.4m cache read, 51.7k 
    cache write

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