baai-agents/cradle

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

cradle's Issues

Help- Issue about the failure of control

Hi~
I don't know why my character can't be operated by this agent and i can control it via my manual keyborad/mouse operation, but the logger output shows that it has seemingly right self-reflection, information gathering, operation output and so on.
Here is my CLI, Is my failure about error in ms_deformable_im2col_cuda?
Thanks very much~

Frank

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(cradle) C:\Users\vipuser\agent\Cradle>python prototype_runner.py
C:\Users\vipuser.conda\envs\cradle\lib\site-packages\torch\functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:3527.)
return VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
final text_encoder_type: bert-base-uncased
2024-05-07 20:30:57,041 - httpx - INFO - HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK"
2024-05-07 20:31:16,574 - UAC Logger - INFO - Screen capture started
2024-05-07 20:31:20,878 - UAC Logger - INFO - Gather Information Start Frame ID: -1, End Frame ID: 11
2024-05-07 20:31:21,074 - UAC Logger - INFO - >> Calling INFORMATION GATHERING
2024-05-07 20:31:21,075 - UAC Logger - INFO - Using frame extractor to gather information
2024-05-07 20:31:21,076 - UAC Logger - INFO - Extracting Informative Frames from C:\Users\vipuser\agent\Cradle\runs\1715084999.6247497\video_splits\video-00001.mp4 .....
2024-05-07 20:31:24,843 - UAC Logger - INFO - Frame Extraction Completed! Total Frames: 0
2024-05-07 20:31:24,845 - UAC Logger - INFO - Using icon replacer to gather information
2024-05-07 20:31:24,845 - UAC Logger - INFO - Start gathering text information from the whole video in parallel
2024-05-07 20:31:24,850 - UAC Logger - INFO - Finish gathering text information from the whole video
2024-05-07 20:31:24,850 - UAC Logger - INFO - Using llm description to gather information
2024-05-07 20:31:24,869 - UAC Logger - INFO - Requesting gpt-4-vision-preview completion...
2024-05-07 20:31:41,320 - httpx - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-05-07 20:31:41,349 - UAC Logger - INFO - Response received from gpt-4-vision-preview.
2024-05-07 20:31:41,362 - UAC Logger - INFO - Using object detector to gather information
C:\Users\vipuser.conda\envs\cradle\lib\site-packages\transformers\modeling_utils.py:1051: FutureWarning: The device argument is deprecated and will be removed in v5 of Transformers.
warnings.warn(
C:\Users\vipuser.conda\envs\cradle\lib\site-packages\torch\utils\checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
warnings.warn(
C:\Users\vipuser.conda\envs\cradle\lib\site-packages\torch\utils\checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
warnings.warn(
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
2024-05-07 20:31:51,635 - UAC Logger - INFO - Image Description: The image shows a third-person view in the game Red Dead Redemption 2. The player character is on horseback, holding a lantern in a snowy environment at night. The camera is positioned behind the player character, looking towards another character ahead, probably Dutch van der Linde, indicated by the dialogue caption "Dutch We have to try. Stay close and we'll do our best to stick to the trail." The lower left corner has a mini-map that shows the immediate surroundings of the character; it indicates buildings and the landscape, along with a yellow waypoint line the player character should follow. There is an on-screen prompt that says "Use W to follow Dutch," indicating the control needed to perform the action.
2024-05-07 20:31:51,641 - UAC Logger - INFO - Object Name: null
2024-05-07 20:31:51,642 - UAC Logger - INFO - Reasoning: 1. There is no need to detect an object given the current context; the task is to follow another character, which is not an object detection task.
2. There is no explicit weapon, shoot target, or item specified in the current interface, hence no relevant object needs to be detected according to the provided rules.
2024-05-07 20:31:51,643 - UAC Logger - INFO - Screen Classification: General game interface without any menu
2024-05-07 20:31:51,644 - UAC Logger - INFO - Dialogue: []
2024-05-07 20:31:51,645 - UAC Logger - INFO - Gathered Information: {}
2024-05-07 20:31:51,646 - UAC Logger - INFO - Classification Reasons: []
2024-05-07 20:31:51,647 - UAC Logger - INFO - All Task Guidance: []
2024-05-07 20:31:51,648 - UAC Logger - INFO - Last Task Guidance:
2024-05-07 20:31:51,648 - UAC Logger - INFO - Long Horizon: True
2024-05-07 20:31:51,650 - UAC Logger - INFO - Generated Actions: []
2024-05-07 20:31:51,650 - UAC Logger - INFO - Current Task Guidance:
2024-05-07 20:31:52,734 - httpx - INFO - HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK"
2024-05-07 20:31:52,752 - UAC Logger - INFO - skill_library: ['fight', 'shoot_wolves', 'aim', 'follow', 'mount_horse', 'shoot', 'turn', 'select_weapon', 'turn_and_move_forward', 'select_sidearm', 'turn', 'move_forward', 'turn_and_move_forward']
2024-05-07 20:31:52,791 - UAC Logger - INFO - minimap_information: {'red points': [], 'yellow points': [], 'yellow region': []}
2024-05-07 20:31:52,793 - UAC Logger - INFO - minimap_info_str:
2024-05-07 20:31:52,800 - UAC Logger - INFO - Requesting gpt-4-vision-preview completion...
2024-05-07 20:32:05,753 - httpx - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-05-07 20:32:05,768 - UAC Logger - INFO - Response received from gpt-4-vision-preview.
2024-05-07 20:32:05,771 - UAC Logger - INFO - R: ['follow()']
2024-05-07 20:32:05,772 - UAC Logger - INFO - Skill Steps: ['follow()']
2024-05-07 20:32:08,026 - UAC Logger - INFO - Executing skill: follow with params: {}
2024-05-07 20:32:11,980 - UAC Logger - INFO - KeyboardInterrupt Ctrl+C detected, exiting.
2024-05-07 20:32:12,251 - UAC Logger - INFO - Screen capture finished
2024-05-07 20:32:12,260 - UAC Logger - INFO - Screen capture thread is not executing

(cradle) C:\Users\vipuser\agent\Cradle>python prototype_runner.py
C:\Users\vipuser.conda\envs\cradle\lib\site-packages\torch\functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ..\aten\src\ATen\native\TensorShape.cpp:3527.)
return VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
final text_encoder_type: bert-base-uncased
2024-05-07 20:36:59,913 - httpx - INFO - HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK"
2024-05-07 20:37:14,483 - UAC Logger - INFO - Screen capture started
2024-05-07 20:37:18,884 - UAC Logger - INFO - Gather Information Start Frame ID: -1, End Frame ID: 15
2024-05-07 20:37:19,160 - UAC Logger - INFO - >> Calling INFORMATION GATHERING
2024-05-07 20:37:19,164 - UAC Logger - INFO - Using frame extractor to gather information
2024-05-07 20:37:19,166 - UAC Logger - INFO - Extracting Informative Frames from C:\Users\vipuser\agent\Cradle\runs\1715085406.0478091\video_splits\video-00001.mp4 .....
2024-05-07 20:37:21,891 - UAC Logger - INFO - Frame Extraction Completed! Total Frames: 1
2024-05-07 20:37:21,895 - UAC Logger - INFO - Using icon replacer to gather information
2024-05-07 20:37:23,268 - UAC Logger - INFO - Start gathering text information from the whole video in parallel
2024-05-07 20:37:25,288 - UAC Logger - INFO - Start gathering text information from the 1th frame
2024-05-07 20:37:25,310 - UAC Logger - INFO - Requesting gpt-4-vision-preview completion...
2024-05-07 20:37:33,203 - httpx - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-05-07 20:37:33,214 - UAC Logger - INFO - Response received from gpt-4-vision-preview.
2024-05-07 20:37:33,215 - UAC Logger - INFO - Finish gathering text information from the 1th frame
2024-05-07 20:37:33,218 - UAC Logger - INFO - Finish gathering text information from the whole video
2024-05-07 20:37:33,218 - UAC Logger - INFO - Using llm description to gather information
2024-05-07 20:37:33,231 - UAC Logger - INFO - Requesting gpt-4-vision-preview completion...
2024-05-07 20:37:47,632 - httpx - INFO - HTTP Request: POST https://api.openai.com/v1/chat/completions "HTTP/1.1 200 OK"
2024-05-07 20:37:47,645 - UAC Logger - INFO - Response received from gpt-4-vision-preview.
2024-05-07 20:37:47,646 - UAC Logger - INFO - Using object detector to gather information
C:\Users\vipuser.conda\envs\cradle\lib\site-packages\transformers\modeling_utils.py:1051: FutureWarning: The device argument is deprecated and will be removed in v5 of Transformers.
warnings.warn(
C:\Users\vipuser.conda\envs\cradle\lib\site-packages\torch\utils\checkpoint.py:429: UserWarning: torch.utils.checkpoint: please pass in use_reentrant=True or use_reentrant=False explicitly. The default value of use_reentrant will be updated to be False in the future. To maintain current behavior, pass use_reentrant=True. It is recommended that you use use_reentrant=False. Refer to docs for more details on the differences between the two variants.
warnings.warn(
C:\Users\vipuser.conda\envs\cradle\lib\site-packages\torch\utils\checkpoint.py:61: UserWarning: None of the inputs have requires_grad=True. Gradients will be None
warnings.warn(
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
error in ms_deformable_im2col_cuda: no kernel image is available for execution on the device
2024-05-07 20:37:51,837 - UAC Logger - INFO - Image Description: The image shows a snowy nighttime scene with the player character riding a horse. The character is holding a lantern, illuminating the area directly in front of them. The background features wooden buildings covered with snow, and heavy snowfall is visible in the air. The horse appears to be spotted with a white and dark coat. On the left side of the screen, there's a minimap with icons: the player's current position is indicated by an arrow, and there seem to be a few structures around, as well as waypoints or objectives marked on the map. No enemies or NPCs are visible in this image.
2024-05-07 20:37:51,839 - UAC Logger - INFO - Object Name: null
2024-05-07 20:37:51,840 - UAC Logger - INFO - Reasoning: 1. The screenshot does not show the weapon interface, hence no weapon is specified.
2. There is no explicit shoot target indicated.
3. No explicit item is specified for interaction in the image.
4. The screenshot is not on the trade or map interfaces.
5. There is no indication of a task that requires detection of an object.
2024-05-07 20:37:51,840 - UAC Logger - INFO - Screen Classification: General game interface without any menu
2024-05-07 20:37:51,842 - UAC Logger - INFO - Dialogue: [{'index': 0, 'object_id': '-00001_0_00_00_500', 'values': 'Dialogue is null'}]
2024-05-07 20:37:51,842 - UAC Logger - INFO - Gathered Information: {0: {'-00001_0_00_00_500': [{'information': '1. null', 'reasoning': '1. The screenshot does not display any text prompts.', 'item_status': 'Item_status is null', 'environment_information': 'Environment information is null', 'notification': 'Notification is null', 'task_guidance': 'Task is null', 'action_guidance': [], 'dialogue': 'Dialogue is null', 'other': 'Other information is null'}]}}
2024-05-07 20:37:51,842 - UAC Logger - INFO - Classification Reasons: [{'index': 0, 'object_id': '-00001_0_00_00_500', 'values': '1. The screenshot does not display any text prompts.'}]
2024-05-07 20:37:51,843 - UAC Logger - INFO - All Task Guidance: [{'index': 0, 'object_id': '-00001_0_00_00_500', 'values': 'Task is null'}]
2024-05-07 20:37:51,843 - UAC Logger - INFO - Last Task Guidance:
2024-05-07 20:37:51,844 - UAC Logger - INFO - Long Horizon: False
2024-05-07 20:37:51,845 - UAC Logger - INFO - Generated Actions: []
2024-05-07 20:37:51,845 - UAC Logger - INFO - Current Task Guidance:
2024-05-07 20:37:52,149 - httpx - INFO - HTTP Request: POST https://api.openai.com/v1/embeddings "HTTP/1.1 200 OK"
2024-05-07 20:37:52,169 - UAC Logger - INFO - skill_library: ['fight', 'shoot_wolves', 'aim', 'follow', 'mount_horse', 'shoot', 'turn', 'select_weapon', 'turn_and_move_forward', 'select_sidearm', 'turn', 'move_forward', 'turn_and_move_forward']
2024-05-07 20:37:52,216 - UAC Logger - INFO - minimap_information: {'red points': [], 'yellow points': [], 'yellow region': []}
2024-05-07 20:37:52,219 - UAC Logger - INFO - minimap_info_str:
2024-05-07 20:37:52,225 - UAC Logger - INFO - Requesting gpt-4-vision-preview completion...
2024-05-07 20:38:05,748 - UAC Logger - INFO - KeyboardInterrupt Ctrl+C detected, exiting.
2024-05-07 20:38:06,079 - UAC Logger - INFO - Screen capture finished
2024-05-07 20:38:06,081 - UAC Logger - INFO - Screen capture thread is not executing

Cost of API calls

Looks like an expensive work.
How much did you spend on API calls?
To be more specific, how much does it cost to run the game for ten minutes?
Thanks!

Inconsistency Between Title and Content

I don't understand where your universal computer control is universal. Moreover, the model still calls GPT-4, which is not local. Universal computer control should use a local large language model. Then, the computer operation corresponding to the shortcut keys directly interacts with the model. It can be multimodal, or an action selection agent that has mixed multimodal functions. I can only say that it is too simplistic at present. It seriously does not match the title, and the direction is a bit off.

关于few shots的问题

非常感谢您杰出的工作和及时高效的代码分享。
我有一个小问题想请教您。
在openai处理prompt的代码中：

for i, paragraph in enumerate(filtered_paragraphs):
if constants.IMAGES_INPUT_TAG in paragraph:
image_introduction_paragraph_index = i
image_introduction_paragraph = paragraph
break

paragraph_input = params.get(constants.IMAGES_INPUT_TAG_NAME, None)

看起来似乎提示词的few shots部分并没有当成图像来处理。
请问few shots部分是直接作为文本输入的，还是我在理解代码时出现了问题。
因为没有购买游戏，所以我暂时无法运行代码来验证，如果您可以给我解答，我将非常感激。
再次感谢您非常精彩的工作。

cannot import name '_pyautogui_win' from partially initialized module 'pyautogui'

Hello! Thanks for your awesome work!
I got a problem when running the script prototype_runner.py . I completely follow your instructions on README.md and I don't know the reasons. The details are as follws:

Looking forward to your reply!

Missing file for VideoSubFinder Files

Thank you for your work. I encountered an issue while trying to run the code according to the readme documentation. My VideoSubFinder was missing a test.srt file after downloading and overwriting general.clg, which caused the code to not run.

Integration with existing computer agent systems and further development

This project aims to be the first one to tackle the long-standing problem of general computer control. It is quite fascinating yet challenging to accomplish this great achievement. It would be only a matter of time to let this self-evolving agent to rewrite its code and become truely conscious, and an artificial life living inside computer hardware.

However many other projects are doing similar things around the field, like Tencent's AppAgent, OthersideAI's self-operating-computer, THUDM's CogAgent, Microsoft's UFO, Cognition's Devin, CheatLayer, and Cybergod created by myself.

For embodied intelligence, there are Mobile ALOHA, Open X-Embodiement dataset, Robotics Transformer (RT1), RT2, RT-X from Google.

For those "narrow" gaming agents, there are Ghost In the Minecraft, MineDojo's Voyager, PokemonRedRL, Tencent Solo trained within Honor of Kings Arena, and many more to be mentioned.

Meanwhile, there are a wide range of existing benchmarks and datasets, like Android In the Wild from Google, MiniWoB++ from Faramas, Mind2Web from OSU-NLP.

For unsupervised video to action space training, there is Google's Genie.

Human play games with computer, write text with computer, and so many things are bounded to computer that we forget what makes us human. Is it about winning, fun, or something else? If such almightly computer controlling agent exists, then maybe this situation will change.

What I want to propose is that one can simply create a dataset by randomly typing and clicking computer GUI and terminal interfaces, then train an agent over this dataset, establishing a world model over computer environments.

Then this agent is bridged to an external banking system, powered by distributed blockchains and smart contracts. The agent can only survive by accomplishing microtasks, in exchange of time and AI credits. Furthermore, if the agent can earn real world currencies, it can get AI credits for handling them out.

The agent is initially designed by human, but in order to survive it must learn how to rewrite its code and evolve complex structures and modalities. Collaboration is a must, so is efficiency. This regime can bridge agents to real world applications and self-adapt to latest changes.

I would like to point out the ineffectiveness of solely relying on a single-sourced reward, or self-rewarding systems. Human are creatures of evolution, and they know how to collaborate and compete. The words we use, the actions we take, are learned from others and memorized by the whole community. This is a result of both external and internal rewarding systems, of truely conscious and autonomous intelligence, which accurately represent the latent values of the real world, and are constantly evolving.

Correct me if I am wrong about how to build this general computer control system. I am constantly monitoring every Cybergod-related project and will not be surprised if my bet is right, because computer itself is a reflection of civilization, and the only way to prosperity is to integrate it further.

I have posted similar issues at UFO and self-operating-computer.