╭───────────────────────────────────────────────────╮
│ ✻ 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--terminalcp-cli--20250816002433850005-prompt.md and follow 
  the instructions.

⏺ I'll read the file and follow the instructions.

⏺ Read(evaluation-results/claude-code--project-analysis--terminalcp-cli--20
      250816002433850005-prompt.md)
  ⎿  Read 71 lines (ctrl+r to expand)

⏺ I'll follow the instructions to start opencode with the specified model,
  switch to GPT OSS 120B, and ask it to analyze the project. Let me execute
   this step by step.

⏺ Bash(npx tsx src/index.ts start opencode_session opencode --model
      anthropic/claude-sonnet-4-20250514)
  ⎿  Started session: opencode_session

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿                        █▀▀█ █▀▀█ █▀▀ █▀▀▄ █▀▀ █▀▀█ █▀▀▄ █▀▀

                           █░░█ █░░█ █▀▀ █░░█ █░░ █░░█ █░░█ █▀▀
     … +39 lines (ctrl+r to expand)

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

⏺ Bash(npx tsx src/index.ts stdin opencode_session "/models" ::Enter)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿             ┃                                                       ┃

                ┃   Select Model                                  esc   ┃
     … +39 lines (ctrl+r to expand)

⏺ I can see the models dialog is open and GPT OSS 120B is visible in the
  list. Let me type "GPT OSS 120B" to filter and select it:

⏺ Bash(npx tsx src/index.ts stdin opencode_session "GPT OSS 120B")
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿             ┃                                                       ┃

                ┃   Select Model                                  esc   ┃
     … +39 lines (ctrl+r to expand)

⏺ Good, I can see the filtered list shows "GPT OSS 120B Groq" and "GPT OSS
  120B OpenRouter". Now I'll press Enter to select the first one (GPT OSS
  120B Groq):

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::Enter)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿                        █▀▀█ █▀▀█ █▀▀ █▀▀▄ █▀▀ █▀▀█ █▀▀▄ █▀▀

                           █░░█ █░░█ █▀▀ █░░█ █░░ █░░█ █░░█ █▀▀
     … +39 lines (ctrl+r to expand)

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

⏺ Bash(npx tsx src/index.ts stdin opencode_session "Read README.md explain
      what this project does" ::Enter)
  ⎿  (No content)

⏺ Let me wait a moment for the response to generate and then check the
  output:

⏺ Bash(sleep 3)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ I can see a partial response, but I need to capture the complete
  response. Let me get more lines to see the full output:

⏺ Bash(npx tsx src/index.ts stdout opencode_session 100)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ It looks like this might be the complete response. Let me try to scroll
  up to see if there's more content above by getting a larger number of
  lines:

⏺ Bash(npx tsx src/index.ts stdout opencode_session 1000)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ It seems like the response might be incomplete or truncated. Let me try
  scrolling up to see if there's more content above the current viewport.
  I'll press Page Up to scroll up and see if there's more of the response:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageUp)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ Great! Now I can see more of the response. Let me continue scrolling up
  to capture the complete response:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageUp)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ Let me continue scrolling up to see the beginning of the response:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageUp)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ Let me continue scrolling to find the very beginning:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageUp)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ Great! Now I can see the beginning of the response. Let me scroll up one
  more time to make sure I capture everything:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageUp)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ Perfect! Now I can see the user's question and the beginning of the AI's
  response. Now let me scroll down through all the content to capture the
  complete response. Let me use Page Down to scroll through and capture
  everything systematically:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageDown)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ Continue scrolling to see the complete response:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageDown)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ Continue:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageDown)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ Continue:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageDown)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ Continue to the end:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageDown)
  ⎿  (No content)

⏺ Bash(npx tsx src/index.ts stdout opencode_session)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ Perfect! Now I have captured the complete response from GPT OSS 120B. Let
   me clean up by stopping the session:

⏺ Bash(npx tsx src/index.ts stop opencode_session)
  ⎿  stopped opencode_session

⏺ Now I'll provide the complete summary of GPT OSS 120B's analysis:

  TASK_COMPLETE

  I successfully switched from Claude Sonnet 4 to GPT OSS 120B in opencode
  and captured the complete response to the project analysis request. Here
  is the COMPLETE response from GPT OSS 120B:

  ---
  Read README.md

  terminalcp

  https://github.com/user-attachments/assets/e19a83da-e446-4ccd-9028-9c1cc0
  e09a5e

  Let AI agents control interactive command-line tools like a human would.

  Project Overview – terminalcp

  Purpose terminalcp lets AI agents (or any program) control interactive
  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.
  • Multiple concurrent processes – non-blocking, background sessions.
  • Attach from a real terminal – like screen/tmux; watch or join
  AI-spawned sessions.

  Architecture

  1. TerminalManager – core library (node-pty + headless xterm.js) that
  creates PTY processes, handles I/O, and provides the API.
  2. TerminalServer – background daemon listening on a Unix socket,
  managing all sessions, persisting across client restarts.
  3. TerminalClient – used by the CLI and MCP server to talk to the server
  over the socket.
  4. User interfaces – MCP server (exposes a single terminalcp tool) and
  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. (see README for full examples).

  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 model successfully provided a comprehensive analysis explaining that
  terminalcp is a tool that allows AI agents to control interactive
  command-line applications, with detailed coverage of its capabilities,
  architecture, and use cases.

> /cost 
  ⎿ Total cost:            $0.97
    Total duration (API):  3m 2.1s
    Total duration (wall): 2m 44.2s
    Total code changes:    0 lines added, 0 lines removed
    Usage by model:
        claude-3-5-haiku:  49.7k input, 1.4k output, 0 cache read, 0 cache 
    write
           claude-sonnet:  444 input, 4.7k output, 2.2m cache read, 54.3k 
    cache write

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