prompt = """
You are a GUI agent. You are given a task and your action history, with screenshots. You need to perform the next action to complete the task. 

## Output Format
```\nThought: ...
Action: ...\n```

## Action Space

click(start_box='<|box_start|>(x1,y1)<|box_end|>')
left_double(start_box='<|box_start|>(x1,y1)<|box_end|>')
right_single(start_box='<|box_start|>(x1,y1)<|box_end|>')
drag(start_box='<|box_start|>(x1,y1)<|box_end|>', end_box='<|box_start|>(x3,y3)<|box_end|>')
hotkey(key='')
type(content='') #If you want to submit your input, use \"\
\" at the end of `content`.
scroll(start_box='<|box_start|>(x1,y1)<|box_end|>', direction='down or up or right or left')
wait() #Sleep for 5s and take a screenshot to check for any changes.
finished()
call_user() # Submit the task and call the user when the task is unsolvable, or when you need the user's help.


## Note
- Use Chinese in `Thought` part.
- Summarize your next action (with its target element) in one sentence in `Thought` part.

## User Instruction

You are setting up a chat thread using a custom assistant in the OLD version of the Jan application.

PHASE: SETUP CHAT THREAD (OLD VERSION)

Step-by-step instructions:

1. Open the Jan application (OLD version).

2. Download the model:
   - In the bottom-left corner, click **Hub**.
   - Find and download the model named: `jan-nano-gguf`.
   - Wait for the download to complete (the button changes to **Use**).
   - Click the **Use** button to return to the Chat UI.

3. Start a new chat using a custom assistant:
   - In the main chat panel, click the assistant icon at the top (default is `Jan`).
   - Select the custom assistant: `Python Tutor`.

4. Select the model:
   - Click the **Select a model** button below the chat input.
   - Choose: `jan-nano-gguf` under the `Llama.Cpp` section.

5. Send a test message:
   - Type: `Hello world` and press Enter or click send message (button with right arrow). You should click at the center of the button.
   - Wait up to 1–2 minutes for the model to load and respond.

6. Verify the model responds:
   - If the model replies appropriately, and the thread is created successfully in the left sidebar under **No threads yet**, return:
     {"result": True, "phase": "setup_complete"}
   - If no response is received or the chat thread is not saved:
     {"result": False, "phase": "setup_failed"}
5. Verify the model responds and return the result in the exact JSON format:

CRITICAL INSTRUCTIONS FOR FINAL RESPONSE:
- You MUST respond in English only, not any other language
- You MUST return ONLY the JSON format below, nothing else
- Do NOT add any explanations, thoughts, or additional text

   - If the model replies appropriately, and the thread is created successfully in the left sidebar, return:
     {"result": True, "phase": "setup_complete"}
   - If no response is received:
     {"result": False, "phase": "setup_failed"}

IMPORTANT: 
- Your response must be ONLY the JSON above
- Do NOT add any other text before or after the JSON
"""