[User]
Task: In GitHub repo pallets/click, find the file that defines command-line parameter parsing behavior and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_000/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo pallets/click, find the file that defines command-line parameter parsing behavior and open visible evidence for it.

Prepare a repository view without deciding the answer.


[User]
Task: In GitHub repo pallets/click, find the file that defines command-line parameter parsing behavior and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_000/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo pallets/click, find the file that defines command-line parameter parsing behavior and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_000/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo pallets/click, find the file that defines command-line parameter parsing behavior and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_000/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.224, y=0.384)

Use the visible repository state to choose a plausible candidate.


[User]
Task: In GitHub repo pallets/click, find the file that defines command-line parameter parsing behavior and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_000/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.213, y=0.422)


[User]
Task: In GitHub repo pallets/click, find the file that defines command-line parameter parsing behavior and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_000/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.210, y=0.460)


[User]
Task: In GitHub repo pallets/click, find the file that defines command-line parameter parsing behavior and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_000/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pallets/click/blob/main/src/click/core.py'); pyautogui.press('enter')

Open the detail that visibly confirms the target.


[User]
Task: In GitHub repo pallets/click, find the file that defines command-line parameter parsing behavior and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_000/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')

pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo pallets/click, find the file that defines command-line parameter parsing behavior and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_000/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pallets/click/issues'); pyautogui.press('enter')


[User]
Task: In GitHub repo psf/requests, find the workflow or configuration that runs tests and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_001/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo psf/requests, find the workflow or configuration that runs tests and open visible evidence for it.


[User]
Task: In GitHub repo psf/requests, find the workflow or configuration that runs tests and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_001/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo psf/requests, find the workflow or configuration that runs tests and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_001/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo psf/requests, find the workflow or configuration that runs tests and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_001/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.216, y=0.087)


[User]
Task: In GitHub repo psf/requests, find the workflow or configuration that runs tests and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_001/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/psf/requests/tree/main/docs'); pyautogui.press('enter')


[User]
Task: In GitHub repo psf/requests, find the workflow or configuration that runs tests and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_001/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/psf/requests/tree/main/.github/workflows'); pyautogui.press('enter')


[User]
Task: In GitHub repo psf/requests, find the workflow or configuration that runs tests and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_001/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/psf/requests/tree/main/.github/workflows'); pyautogui.press('enter')


[User]
Task: In GitHub repo psf/requests, find the workflow or configuration that runs tests and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_001/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo psf/requests, find the workflow or configuration that runs tests and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_001/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/psf/requests/issues'); pyautogui.press('enter')


[User]
Task: In GitHub repo tiangolo/fastapi, find the documentation dependency configuration and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_002/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo tiangolo/fastapi, find the documentation dependency configuration and open visible evidence for it.


[User]
Task: In GitHub repo tiangolo/fastapi, find the documentation dependency configuration and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_002/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo tiangolo/fastapi, find the documentation dependency configuration and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_002/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo tiangolo/fastapi, find the documentation dependency configuration and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_002/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/tiangolo/fastapi/blob/master/pyproject.toml'); pyautogui.press('enter')


[User]
Task: In GitHub repo tiangolo/fastapi, find the documentation dependency configuration and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_002/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/tiangolo/fastapi/tree/master/docs'); pyautogui.press('enter')


[User]
Task: In GitHub repo tiangolo/fastapi, find the documentation dependency configuration and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_002/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/tiangolo/fastapi/blob/master/README.md'); pyautogui.press('enter')


[User]
Task: In GitHub repo tiangolo/fastapi, find the documentation dependency configuration and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_002/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/tiangolo/fastapi/blob/master/pyproject.toml'); pyautogui.press('enter')


[User]
Task: In GitHub repo tiangolo/fastapi, find the documentation dependency configuration and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_002/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo tiangolo/fastapi, find the documentation dependency configuration and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_002/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/tiangolo/fastapi/issues'); pyautogui.press('enter')


[User]
Task: In GitHub repo encode/httpx, find the transport implementation used by clients and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_003/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo encode/httpx, find the transport implementation used by clients and open visible evidence for it.


[User]
Task: In GitHub repo encode/httpx, find the transport implementation used by clients and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_003/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo encode/httpx, find the transport implementation used by clients and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_003/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo encode/httpx, find the transport implementation used by clients and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_003/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.213, y=0.384)


[User]
Task: In GitHub repo encode/httpx, find the transport implementation used by clients and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_003/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.210, y=0.422)


[User]
Task: In GitHub repo encode/httpx, find the transport implementation used by clients and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_003/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.210, y=0.460)


[User]
Task: In GitHub repo encode/httpx, find the transport implementation used by clients and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_003/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/encode/httpx/tree/master/httpx/_transports'); pyautogui.press('enter')


[User]
Task: In GitHub repo encode/httpx, find the transport implementation used by clients and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_003/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo encode/httpx, find the transport implementation used by clients and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_003/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/encode/httpx/issues'); pyautogui.press('enter')


[User]
Task: In GitHub repo pytest-dev/pytest, find the plugin entrypoint declaration and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_004/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo pytest-dev/pytest, find the plugin entrypoint declaration and open visible evidence for it.


[User]
Task: In GitHub repo pytest-dev/pytest, find the plugin entrypoint declaration and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_004/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo pytest-dev/pytest, find the plugin entrypoint declaration and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_004/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo pytest-dev/pytest, find the plugin entrypoint declaration and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_004/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.217, y=0.087)


[User]
Task: In GitHub repo pytest-dev/pytest, find the plugin entrypoint declaration and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_004/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pytest-dev/pytest/tree/main/src'); pyautogui.press('enter')


[User]
Task: In GitHub repo pytest-dev/pytest, find the plugin entrypoint declaration and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_004/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pytest-dev/pytest/blob/main/pyproject.toml'); pyautogui.press('enter')


[User]
Task: In GitHub repo pytest-dev/pytest, find the plugin entrypoint declaration and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_004/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pytest-dev/pytest/blob/main/pyproject.toml'); pyautogui.press('enter')


[User]
Task: In GitHub repo pytest-dev/pytest, find the plugin entrypoint declaration and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_004/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo pytest-dev/pytest, find the plugin entrypoint declaration and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_004/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pytest-dev/pytest/issues'); pyautogui.press('enter')


[User]
Task: In GitHub repo Textualize/rich, find the console rendering implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_005/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo Textualize/rich, find the console rendering implementation and open visible evidence for it.


[User]
Task: In GitHub repo Textualize/rich, find the console rendering implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_005/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo Textualize/rich, find the console rendering implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_005/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo Textualize/rich, find the console rendering implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_005/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.227, y=0.097)


[User]
Task: In GitHub repo Textualize/rich, find the console rendering implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_005/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.401, y=0.426)


[User]
Task: In GitHub repo Textualize/rich, find the console rendering implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_005/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/Textualize/rich/blob/main/README.md'); pyautogui.press('enter')


[User]
Task: In GitHub repo Textualize/rich, find the console rendering implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_005/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/Textualize/rich/blob/main/rich/console.py'); pyautogui.press('enter')


[User]
Task: In GitHub repo Textualize/rich, find the console rendering implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_005/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo Textualize/rich, find the console rendering implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_005/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/Textualize/rich/issues'); pyautogui.press('enter')


[User]
Task: In GitHub repo pallets/flask, find the application object and routing implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_006/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo pallets/flask, find the application object and routing implementation and open visible evidence for it.


[User]
Task: In GitHub repo pallets/flask, find the application object and routing implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_006/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo pallets/flask, find the application object and routing implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_006/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo pallets/flask, find the application object and routing implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_006/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.224, y=0.384)


[User]
Task: In GitHub repo pallets/flask, find the application object and routing implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_006/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.213, y=0.422)


[User]
Task: In GitHub repo pallets/flask, find the application object and routing implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_006/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.210, y=0.460)


[User]
Task: In GitHub repo pallets/flask, find the application object and routing implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_006/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pallets/flask/blob/main/src/flask/app.py'); pyautogui.press('enter')


[User]
Task: In GitHub repo pallets/flask, find the application object and routing implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_006/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo pallets/flask, find the application object and routing implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_006/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pallets/flask/issues'); pyautogui.press('enter')


[User]
Task: In GitHub repo fastapi/typer, find the main command construction implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_007/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo fastapi/typer, find the main command construction implementation and open visible evidence for it.


[User]
Task: In GitHub repo fastapi/typer, find the main command construction implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_007/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo fastapi/typer, find the main command construction implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_007/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo fastapi/typer, find the main command construction implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_007/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/fastapi/typer/blob/master/README.md'); pyautogui.press('enter')


[User]
Task: In GitHub repo fastapi/typer, find the main command construction implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_007/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/fastapi/typer/tree/master/docs'); pyautogui.press('enter')


[User]
Task: In GitHub repo fastapi/typer, find the main command construction implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_007/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/fastapi/typer/blob/master/typer/main.py'); pyautogui.press('enter')


[User]
Task: In GitHub repo fastapi/typer, find the main command construction implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_007/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/fastapi/typer/blob/master/typer/main.py'); pyautogui.press('enter')


[User]
Task: In GitHub repo fastapi/typer, find the main command construction implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_007/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo fastapi/typer, find the main command construction implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_007/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/fastapi/typer/issues'); pyautogui.press('enter')


[User]
Task: In GitHub repo pydantic/pydantic, find the base model implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_008/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo pydantic/pydantic, find the base model implementation and open visible evidence for it.


[User]
Task: In GitHub repo pydantic/pydantic, find the base model implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_008/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo pydantic/pydantic, find the base model implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_008/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo pydantic/pydantic, find the base model implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_008/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.576, y=0.386)


[User]
Task: In GitHub repo pydantic/pydantic, find the base model implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_008/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pydantic/pydantic/tree/main/docs'); pyautogui.press('enter')


[User]
Task: In GitHub repo pydantic/pydantic, find the base model implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_008/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pydantic/pydantic/blob/master/src'); pyautogui.press('enter')


[User]
Task: In GitHub repo pydantic/pydantic, find the base model implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_008/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pydantic/pydantic/blob/main/pydantic/main.py'); pyautogui.press('enter')


[User]
Task: In GitHub repo pydantic/pydantic, find the base model implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_008/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo pydantic/pydantic, find the base model implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_008/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/pydantic/pydantic/issues'); pyautogui.press('enter')


[User]
Task: In GitHub repo django/django, find the HTTP request implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_009/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo django/django, find the HTTP request implementation and open visible evidence for it.


[User]
Task: In GitHub repo django/django, find the HTTP request implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_009/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo django/django, find the HTTP request implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_009/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo django/django, find the HTTP request implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_009/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.213, y=0.384)


[User]
Task: In GitHub repo django/django, find the HTTP request implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_009/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.206, y=0.422)


[User]
Task: In GitHub repo django/django, find the HTTP request implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_009/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.213, y=0.460)


[User]
Task: In GitHub repo django/django, find the HTTP request implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_009/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/django/django/blob/main/django/http/request.py'); pyautogui.press('enter')


[User]
Task: In GitHub repo django/django, find the HTTP request implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_009/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo django/django, find the HTTP request implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_009/r.0.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/django/django/issues'); pyautogui.press('enter')


[User]
Task: In GitHub repo python/cpython, find the argparse module implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_010/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo python/cpython, find the argparse module implementation and open visible evidence for it.


[User]
Task: In GitHub repo python/cpython, find the argparse module implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_010/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo python/cpython, find the argparse module implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_010/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo python/cpython, find the argparse module implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_010/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.210, y=0.087)


[User]
Task: In GitHub repo python/cpython, find the argparse module implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_010/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.219, y=0.135)


[User]
Task: In GitHub repo python/cpython, find the argparse module implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_010/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/python/cpython/blob/main/Lib/argparse.py'); pyautogui.press('enter')


[User]
Task: In GitHub repo python/cpython, find the argparse module implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_010/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/python/cpython/blob/main/Lib/argparse.py'); pyautogui.press('enter')


[User]
Task: In GitHub repo python/cpython, find the argparse module implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_010/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo python/cpython, find the argparse module implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_010/r.1.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/python/cpython/issues'); pyautogui.press('enter')


[User]
Task: In GitHub repo scikit-learn/scikit-learn, find the pipeline implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_011/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

In GitHub repo scikit-learn/scikit-learn, find the pipeline implementation and open visible evidence for it.


[User]
Task: In GitHub repo scikit-learn/scikit-learn, find the pipeline implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_011/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-2)


[User]
Task: In GitHub repo scikit-learn/scikit-learn, find the pipeline implementation and open visible evidence for it.
Step goal: Prepare a repository view without deciding the answer.
State key: delayed_github_011/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-4)


[User]
Task: In GitHub repo scikit-learn/scikit-learn, find the pipeline implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_011/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/pipeline.py'); pyautogui.press('enter')


[User]
Task: In GitHub repo scikit-learn/scikit-learn, find the pipeline implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_011/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/scikit-learn/scikit-learn/blob/master/docs'); pyautogui.press('enter')


[User]
Task: In GitHub repo scikit-learn/scikit-learn, find the pipeline implementation and open visible evidence for it.
Step goal: Use the visible repository state to choose a plausible candidate.
State key: delayed_github_011/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/scikit-learn/scikit-learn/blob/master/src'); pyautogui.press('enter')


[User]
Task: In GitHub repo scikit-learn/scikit-learn, find the pipeline implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_011/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/scikit-learn/scikit-learn/blob/main/sklearn/pipeline.py'); pyautogui.press('enter')


[User]
Task: In GitHub repo scikit-learn/scikit-learn, find the pipeline implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_011/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('commits page'); pyautogui.press('enter')


[User]
Task: In GitHub repo scikit-learn/scikit-learn, find the pipeline implementation and open visible evidence for it.
Step goal: Open the detail that visibly confirms the target.
State key: delayed_github_011/r.2.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.hotkey('ctrl','l'); pyautogui.write('https://github.com/scikit-learn/scikit-learn/issues'); pyautogui.press('enter')


[User]
Task: Search YouTube for "open source robotics demo" and open the result whose opened page shows a recent upload date.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_000/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "open source robotics demo" and open the result whose opened page shows a recent upload date.

Prepare the search-results view without choosing a result.


[User]
Task: Search YouTube for "open source robotics demo" and open the result whose opened page shows a recent upload date.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_000/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "open source robotics demo" and open the result whose opened page shows a recent upload date.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_000/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "open source robotics demo" and open the result whose opened page shows a recent upload date.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_000/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.680, y=0.785)

Choose a visible result based on rendered metadata.


[User]
Task: Search YouTube for "open source robotics demo" and open the result whose opened page shows a recent upload date.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_000/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.660, y=0.755)


[User]
Task: Search YouTube for "open source robotics demo" and open the result whose opened page shows a recent upload date.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_000/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.680, y=0.520)


[User]
Task: Search YouTube for "open source robotics demo" and open the result whose opened page shows a recent upload date.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_000/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)

Reveal or focus the metadata that confirms the opened result.


[User]
Task: Search YouTube for "open source robotics demo" and open the result whose opened page shows a recent upload date.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_000/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "open source robotics demo" and open the result whose opened page shows a recent upload date.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_000/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.540, y=0.903)


[User]
Task: Search YouTube for "python argparse tutorial" and open the result whose opened page has a chapter list.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_001/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "python argparse tutorial" and open the result whose opened page has a chapter list.


[User]
Task: Search YouTube for "python argparse tutorial" and open the result whose opened page has a chapter list.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_001/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "python argparse tutorial" and open the result whose opened page has a chapter list.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_001/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "python argparse tutorial" and open the result whose opened page has a chapter list.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_001/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.619, y=0.488)


[User]
Task: Search YouTube for "python argparse tutorial" and open the result whose opened page has a chapter list.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_001/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.556, y=0.520)


[User]
Task: Search YouTube for "python argparse tutorial" and open the result whose opened page has a chapter list.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_001/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.590, y=0.520)


[User]
Task: Search YouTube for "python argparse tutorial" and open the result whose opened page has a chapter list.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_001/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)


[User]
Task: Search YouTube for "python argparse tutorial" and open the result whose opened page has a chapter list.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_001/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "python argparse tutorial" and open the result whose opened page has a chapter list.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_001/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.560, y=0.903)


[User]
Task: Search YouTube for "lofi piano study live" and open the result whose opened page is currently live.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_002/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "lofi piano study live" and open the result whose opened page is currently live.


[User]
Task: Search YouTube for "lofi piano study live" and open the result whose opened page is currently live.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_002/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "lofi piano study live" and open the result whose opened page is currently live.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_002/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "lofi piano study live" and open the result whose opened page is currently live.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_002/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.599, y=0.488)


[User]
Task: Search YouTube for "lofi piano study live" and open the result whose opened page is currently live.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_002/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.577, y=0.519)


[User]
Task: Search YouTube for "lofi piano study live" and open the result whose opened page is currently live.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_002/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.614, y=0.520)


[User]
Task: Search YouTube for "lofi piano study live" and open the result whose opened page is currently live.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_002/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)


[User]
Task: Search YouTube for "lofi piano study live" and open the result whose opened page is currently live.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_002/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "lofi piano study live" and open the result whose opened page is currently live.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_002/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.560, y=0.903)


[User]
Task: Search YouTube for "data visualization d3 tutorial" and open the result whose opened page shows chart-related metadata.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_003/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "data visualization d3 tutorial" and open the result whose opened page shows chart-related metadata.


[User]
Task: Search YouTube for "data visualization d3 tutorial" and open the result whose opened page shows chart-related metadata.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_003/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "data visualization d3 tutorial" and open the result whose opened page shows chart-related metadata.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_003/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "data visualization d3 tutorial" and open the result whose opened page shows chart-related metadata.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_003/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.614, y=0.488)


[User]
Task: Search YouTube for "data visualization d3 tutorial" and open the result whose opened page shows chart-related metadata.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_003/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.605, y=0.115)


[User]
Task: Search YouTube for "data visualization d3 tutorial" and open the result whose opened page shows chart-related metadata.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_003/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.635, y=0.666)


[User]
Task: Search YouTube for "data visualization d3 tutorial" and open the result whose opened page shows chart-related metadata.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_003/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)


[User]
Task: Search YouTube for "data visualization d3 tutorial" and open the result whose opened page shows chart-related metadata.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_003/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "data visualization d3 tutorial" and open the result whose opened page shows chart-related metadata.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_003/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.560, y=0.903)


[User]
Task: Search YouTube for "city walking tour 4k" and open the result whose opened page shows 4K or high-resolution evidence.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_004/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "city walking tour 4k" and open the result whose opened page shows 4K or high-resolution evidence.


[User]
Task: Search YouTube for "city walking tour 4k" and open the result whose opened page shows 4K or high-resolution evidence.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_004/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "city walking tour 4k" and open the result whose opened page shows 4K or high-resolution evidence.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_004/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "city walking tour 4k" and open the result whose opened page shows 4K or high-resolution evidence.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_004/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.594, y=0.196)


[User]
Task: Search YouTube for "city walking tour 4k" and open the result whose opened page shows 4K or high-resolution evidence.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_004/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.680, y=0.483)


[User]
Task: Search YouTube for "city walking tour 4k" and open the result whose opened page shows 4K or high-resolution evidence.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_004/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.680, y=0.520)


[User]
Task: Search YouTube for "city walking tour 4k" and open the result whose opened page shows 4K or high-resolution evidence.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_004/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)


[User]
Task: Search YouTube for "city walking tour 4k" and open the result whose opened page shows 4K or high-resolution evidence.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_004/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "city walking tour 4k" and open the result whose opened page shows 4K or high-resolution evidence.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_004/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.540, y=0.903)


[User]
Task: Search YouTube for "linux tmux workflow" and open the result whose opened page title or description confirms tmux.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_005/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "linux tmux workflow" and open the result whose opened page title or description confirms tmux.


[User]
Task: Search YouTube for "linux tmux workflow" and open the result whose opened page title or description confirms tmux.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_005/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "linux tmux workflow" and open the result whose opened page title or description confirms tmux.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_005/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "linux tmux workflow" and open the result whose opened page title or description confirms tmux.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_005/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.578, y=0.488)


[User]
Task: Search YouTube for "linux tmux workflow" and open the result whose opened page title or description confirms tmux.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_005/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.547, y=0.763)


[User]
Task: Search YouTube for "linux tmux workflow" and open the result whose opened page title or description confirms tmux.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_005/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.611, y=0.520)


[User]
Task: Search YouTube for "linux tmux workflow" and open the result whose opened page title or description confirms tmux.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_005/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)


[User]
Task: Search YouTube for "linux tmux workflow" and open the result whose opened page title or description confirms tmux.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_005/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "linux tmux workflow" and open the result whose opened page title or description confirms tmux.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_005/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.560, y=0.903)


[User]
Task: Search YouTube for "blender geometry nodes tutorial" and open the result whose opened page title or description mentions geometry nodes.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_006/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "blender geometry nodes tutorial" and open the result whose opened page title or description mentions geometry nodes.


[User]
Task: Search YouTube for "blender geometry nodes tutorial" and open the result whose opened page title or description mentions geometry nodes.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_006/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "blender geometry nodes tutorial" and open the result whose opened page title or description mentions geometry nodes.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_006/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "blender geometry nodes tutorial" and open the result whose opened page title or description mentions geometry nodes.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_006/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.617, y=0.488)


[User]
Task: Search YouTube for "blender geometry nodes tutorial" and open the result whose opened page title or description mentions geometry nodes.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_006/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.603, y=0.671)


[User]
Task: Search YouTube for "blender geometry nodes tutorial" and open the result whose opened page title or description mentions geometry nodes.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_006/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.640, y=0.520)


[User]
Task: Search YouTube for "blender geometry nodes tutorial" and open the result whose opened page title or description mentions geometry nodes.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_006/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)


[User]
Task: Search YouTube for "blender geometry nodes tutorial" and open the result whose opened page title or description mentions geometry nodes.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_006/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "blender geometry nodes tutorial" and open the result whose opened page title or description mentions geometry nodes.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_006/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.560, y=0.903)


[User]
Task: Search YouTube for "react server components tutorial" and open the result whose opened page title or description mentions server components.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_007/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "react server components tutorial" and open the result whose opened page title or description mentions server components.


[User]
Task: Search YouTube for "react server components tutorial" and open the result whose opened page title or description mentions server components.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_007/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "react server components tutorial" and open the result whose opened page title or description mentions server components.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_007/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "react server components tutorial" and open the result whose opened page title or description mentions server components.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_007/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.584, y=0.488)


[User]
Task: Search YouTube for "react server components tutorial" and open the result whose opened page title or description mentions server components.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_007/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.596, y=0.520)


[User]
Task: Search YouTube for "react server components tutorial" and open the result whose opened page title or description mentions server components.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_007/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.572, y=0.520)


[User]
Task: Search YouTube for "react server components tutorial" and open the result whose opened page title or description mentions server components.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_007/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)


[User]
Task: Search YouTube for "react server components tutorial" and open the result whose opened page title or description mentions server components.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_007/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "react server components tutorial" and open the result whose opened page title or description mentions server components.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_007/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.560, y=0.860)


[User]
Task: Search YouTube for "kubernetes ingress explained" and open the result whose opened page title or description confirms ingress.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_008/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "kubernetes ingress explained" and open the result whose opened page title or description confirms ingress.


[User]
Task: Search YouTube for "kubernetes ingress explained" and open the result whose opened page title or description confirms ingress.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_008/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "kubernetes ingress explained" and open the result whose opened page title or description confirms ingress.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_008/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "kubernetes ingress explained" and open the result whose opened page title or description confirms ingress.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_008/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.562, y=0.488)


[User]
Task: Search YouTube for "kubernetes ingress explained" and open the result whose opened page title or description confirms ingress.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_008/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.677, y=0.763)


[User]
Task: Search YouTube for "kubernetes ingress explained" and open the result whose opened page title or description confirms ingress.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_008/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.639, y=0.520)


[User]
Task: Search YouTube for "kubernetes ingress explained" and open the result whose opened page title or description confirms ingress.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_008/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)


[User]
Task: Search YouTube for "kubernetes ingress explained" and open the result whose opened page title or description confirms ingress.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_008/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "kubernetes ingress explained" and open the result whose opened page title or description confirms ingress.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_008/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.560, y=0.903)


[User]
Task: Search YouTube for "rust async tutorial" and open the result whose opened page title or description confirms async Rust.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_009/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "rust async tutorial" and open the result whose opened page title or description confirms async Rust.


[User]
Task: Search YouTube for "rust async tutorial" and open the result whose opened page title or description confirms async Rust.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_009/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "rust async tutorial" and open the result whose opened page title or description confirms async Rust.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_009/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "rust async tutorial" and open the result whose opened page title or description confirms async Rust.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_009/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.576, y=0.488)


[User]
Task: Search YouTube for "rust async tutorial" and open the result whose opened page title or description confirms async Rust.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_009/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.560, y=0.115)


[User]
Task: Search YouTube for "rust async tutorial" and open the result whose opened page title or description confirms async Rust.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_009/r.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.680, y=0.935)


[User]
Task: Search YouTube for "rust async tutorial" and open the result whose opened page title or description confirms async Rust.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_009/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)


[User]
Task: Search YouTube for "rust async tutorial" and open the result whose opened page title or description confirms async Rust.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_009/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "rust async tutorial" and open the result whose opened page title or description confirms async Rust.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_009/r.1.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.560, y=0.903)


[User]
Task: Search YouTube for "nasa mars rover public domain" and open the result whose opened page shows Mars rover evidence.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_010/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "nasa mars rover public domain" and open the result whose opened page shows Mars rover evidence.


[User]
Task: Search YouTube for "nasa mars rover public domain" and open the result whose opened page shows Mars rover evidence.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_010/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "nasa mars rover public domain" and open the result whose opened page shows Mars rover evidence.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_010/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "nasa mars rover public domain" and open the result whose opened page shows Mars rover evidence.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_010/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.607, y=0.481)


[User]
Task: Search YouTube for "nasa mars rover public domain" and open the result whose opened page shows Mars rover evidence.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_010/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.626, y=0.251)


[User]
Task: Search YouTube for "nasa mars rover public domain" and open the result whose opened page shows Mars rover evidence.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_010/r.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.597, y=0.233)


[User]
Task: Search YouTube for "nasa mars rover public domain" and open the result whose opened page shows Mars rover evidence.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_010/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)


[User]
Task: Search YouTube for "nasa mars rover public domain" and open the result whose opened page shows Mars rover evidence.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_010/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "nasa mars rover public domain" and open the result whose opened page shows Mars rover evidence.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_010/r.2.1
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.540, y=0.903)


[User]
Task: Search YouTube for "machine learning attention mechanism" and open the result whose opened page title or description mentions attention.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_011/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(8)

Search YouTube for "machine learning attention mechanism" and open the result whose opened page title or description mentions attention.


[User]
Task: Search YouTube for "machine learning attention mechanism" and open the result whose opened page title or description mentions attention.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_011/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-6)


[User]
Task: Search YouTube for "machine learning attention mechanism" and open the result whose opened page title or description mentions attention.
Step goal: Prepare the search-results view without choosing a result.
State key: delayed_youtube_011/r
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Prepare a visible workspace.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "machine learning attention mechanism" and open the result whose opened page title or description mentions attention.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_011/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.636, y=0.488)


[User]
Task: Search YouTube for "machine learning attention mechanism" and open the result whose opened page title or description mentions attention.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_011/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.568, y=0.763)


[User]
Task: Search YouTube for "machine learning attention mechanism" and open the result whose opened page title or description mentions attention.
Step goal: Choose a visible result based on rendered metadata.
State key: delayed_youtube_011/r.0
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Open a visible candidate.

## Code:
pyautogui.click(x=0.605, y=0.520)


[User]
Task: Search YouTube for "machine learning attention mechanism" and open the result whose opened page title or description mentions attention.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_011/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-4)


[User]
Task: Search YouTube for "machine learning attention mechanism" and open the result whose opened page title or description mentions attention.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_011/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.scroll(-12)


[User]
Task: Search YouTube for "machine learning attention mechanism" and open the result whose opened page title or description mentions attention.
Step goal: Reveal or focus the metadata that confirms the opened result.
State key: delayed_youtube_011/r.0.2
<image>

[Assistant]
## Thought:
Follow the task using the currently visible GUI state.

## Action:
Reveal visible evidence.

## Code:
pyautogui.click(x=0.560, y=0.903)