╭───────────────────────────────────────────────────╮
│ ✻ 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--20250816003402704009-prompt.md and follow 
  the instructions.

⏺ Read(evaluation-results/claude-code--project-analysis--terminalcp-cli--20
      250816003402704009-prompt.md)
  ⎿  Read 71 lines (ctrl+r to expand)

⏺ I'll complete this task step by step using the Terminalcp CLI tool to
  start opencode, switch models, and analyze the project.

⏺ 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. I'll type "GPT OSS 120B" to filter
  and then 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 filter is working and showing GPT OSS 120B options.
  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 the model has been successfully switched to "Groq GPT
  OSS 120B" as shown in the bottom right corner. Now I'll send the prompt
  to analyze the project:

⏺ Bash(npx tsx src/index.ts stdin opencode_session "Read README.md explain
      what this project does" ::Enter)
  ⎿  (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 the response is starting. Let me wait a moment and then get the
   full response by capturing more lines:

⏺ 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)


⏺ The response appears to be incomplete. Let me scroll up to see if there's
   more content by getting the full scrollback:

⏺ 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 still be generating or there might be
  more content above. Let me try scrolling up to see if there's additional
  content:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageUp ::PageUp
      ::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 get the complete response:

⏺ Bash(npx tsx src/index.ts stdin opencode_session ::PageUp ::PageUp
      ::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 beginning of the response. Let me continue
  scrolling down to capture the complete response. Let me get the full
  context by getting a larger scrollback:

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

⏺ Bash(npx tsx src/index.ts stdout opencode_session 200)
  ⎿   ┃  # Explaining project from README.md                               
          ┃
      ┃  /share to create a shareable link                    22.8K/17% ($0
    … +43 lines (ctrl+r to expand)


⏺ Now let me stop the session and report the complete analysis that was
  provided by GPT OSS 120B:

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

⏺ Based on my interaction with the GPT OSS 120B model through opencode,
  here is the complete analysis provided by the model:

  TASK_COMPLETE

  The GPT OSS 120B model successfully analyzed the project after reading
  README.md. Here is the complete response:

  Project Name: terminalcp

  What this project does:
  The terminalcp project is a terminal control/management system that
  allows programmatic interaction with terminal processes.

  Key capabilities identified by the model:
  • Debugging – drive LLDB, GDB, pdb, etc.
  • AI-to-AI – run other AI assistants (Claude, Gemini, etc.) as
  subprocesses
  • REPL / shell – interact with Python, Node, Ruby REPLs, DB shells,
  system monitors
  • General CLI – any interactive CLI that expects human input
  • Multiple processes – run many sessions simultaneously without blocking

  Typical workflow:
  1. Start a process (e.g., python3 -i)
  2. Send input (text, arrow keys, Ctrl-C, etc.) via stdin
  3. Read output via stdout (full screen) or stream (incremental)
  4. Stop when done

  Development: npm install, npm run build, npm test
  License: MIT

  The model explained that this tool enables programmatic control over
  terminal sessions, allowing you to send keystrokes, read output, and keep
   sessions alive while preserving full terminal emulation including colors
   and cursor movement.

  The task was completed successfully - I was able to:
  1. Start opencode with the specified Anthropic Claude Sonnet 4 model
  2. Successfully switch to GPT OSS 120B using the /models command
  3. Prompt the model to analyze the project
  4. Capture the complete response from the model

> /cost 
  ⎿ Total cost:            $0.61
    Total duration (API):  1m 52.8s
    Total duration (wall): 1m 49.2s
    Total code changes:    0 lines added, 0 lines removed
    Usage by model:
        claude-3-5-haiku:  36.7k input, 874 output, 0 cache read, 0 cache 
    write
           claude-sonnet:  286 input, 2.8k output, 1.2m cache read, 47.5k 
    cache write

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