Not the first time I got this, dont have any idea of whats causing it, gonna paste my entire console and attach the running record:
`(myenv) PS D:\AI\XAgent> python run.py --task "Application Development Prompt: Adversarial Attack on Image Content. Objective: Create an application to make text within an image undetectable to AI detection systems. Functionalities: 1)Image Upload: Users should be able to upload an image containing a mix of objects and text. 2)Target Area Selection: Users should be able to highlight or draw on the specific area of the image (primarily text) they wish to target for the adversarial attack. 3)Submission: After highlighting, users can click 'submit' to initiate the adversarial attack. Specifications: The adversarial attack should be based on the most current and effective techniques for this scenario. The end goal is to modify the targeted text area such that AI misinterprets it as non-text content, effectively making it 'invisible' to AI. For the drawing interface, consider using Gradio or any other suitable and convenient tool. Resources Provided: A folder titled 'adversarial-robustness-toolbox' has been attached. This contains a GitHub repository with up-to-date adversarial attack frameworks that can serve as a foundation for this development." --upload_files "D:\AI\adversarial-robustness-toolbox" --model "gpt-4"
XAgentServer is running on cmd mode
XAgentServer log: XAgentServer\localstorage\interact_records\2023-10-20\acded487eca74b689134d1e42867cb88
init localstorage connection: interaction.json
-=-=--=-=-=-=-=-=-= Current Instruction =-=-=-=-=-=-=-=-=-=-=-=-=-=-
Application Development Prompt: Adversarial Attack on Image Content. Objective: Create an application to make text within an image undetectable to AI detection systems. Functionalities: 1)Image Upload: Users should be able to upload an image containing a mix of objects and text. 2)Target Area Selection: Users should be able to highlight or draw on the specific area of the image (primarily text) they wish to target for the adversarial attack. 3)Submission: After highlighting, users can click 'submit' to initiate the adversarial attack. Specifications: The adversarial attack should be based on the most current and effective techniques for this scenario. The end goal is to modify the targeted text area such that AI misinterprets it as non-text content, effectively making it 'invisible' to AI. For the drawing interface, consider using Gradio or any other suitable and convenient tool. Resources Provided: A folder titled 'adversarial-robustness-toolbox' has been attached. This contains a GitHub repository with up-to-date adversarial attack frameworks that can serve as a foundation for this development.
Receive args from acded487eca74b689134d1e42867cb88: user_id: admin, token: xagent-admin, description: XAgent-Test
Receive data from acded487eca74b689134d1e42867cb88: Application Development Prompt: Adversarial Attack on Image Content. Objective: Create an application to make text within an image undetectable to AI detection systems. Functionalities: 1)Image Upload: Users should be able to upload an image containing a mix of objects and text. 2)Target Area Selection: Users should be able to highlight or draw on the specific area of the image (primarily text) they wish to target for the adversarial attack. 3)Submission: After highlighting, users can click 'submit' to initiate the adversarial attack. Specifications: The adversarial attack should be based on the most current and effective techniques for this scenario. The end goal is to modify the targeted text area such that AI misinterprets it as non-text content, effectively making it 'invisible' to AI. For the drawing interface, consider using Gradio or any other suitable and convenient tool. Resources Provided: A folder titled 'adversarial-robustness-toolbox' has been attached. This contains a GitHub repository with up-to-date adversarial attack frameworks that can serve as a foundation for this development.
Register parameter: {'interaction_id': 'acded487eca74b689134d1e42867cb88', 'parameter_id': '1768b1f4f80e41b5b229e2765e50648c', 'args': {'description': 'XAgent-Test', 'role_name': 'Assistant', 'download_files': [], 'file_list': ['D:\AI\adversarial-robustness-toolbox'], 'record_dir': None, 'goal': "Application Development Prompt: Adversarial Attack on Image Content. Objective: Create an application to make text within an image undetectable to AI detection systems. Functionalities: 1)Image Upload: Users should be able to upload an image containing a mix of objects and text. 2)Target Area Selection: Users should be able to highlight or draw on the specific area of the image (primarily text) they wish to target for the adversarial attack. 3)Submission: After highlighting, users can click 'submit' to initiate the adversarial attack. Specifications: The adversarial attack should be based on the most current and effective techniques for this scenario. The end goal is to modify the targeted text area such that AI misinterprets it as non-text content, effectively making it 'invisible' to AI. For the drawing interface, consider using Gradio or any other suitable and convenient tool. Resources Provided: A folder titled 'adversarial-robustness-toolbox' has been attached. This contains a GitHub repository with up-to-date adversarial attack frameworks that can serve as a foundation for this development.", 'mode': 'auto', 'plan': [], 'max_wait_seconds': 600}} into interaction of acded487eca74b689134d1e42867cb88, done!
init interaction: acded487eca74b689134d1e42867cb88
Register logger into interaction of acded487eca74b689134d1e42867cb88, done!
Register io into interaction of acded487eca74b689134d1e42867cb88, done!
Register db into interaction of acded487eca74b689134d1e42867cb88, done!
Register logger into XAgentServer of acded487eca74b689134d1e42867cb88, done!
Start a new thread to run interaction of acded487eca74b689134d1e42867cb88, done!
Constructing an AgentDispatcher: XAgentDispatcher
server is running, the start query is Application Development Prompt: Adversarial Attack on Image Content. Objective: Create an application to make text within an image undetectable to AI detection systems. Functionalities: 1)Image Upload: Users should be able to upload an image containing a mix of objects and text. 2)Target Area Selection: Users should be able to highlight or draw on the specific area of the image (primarily text) they wish to target for the adversarial attack. 3)Submission: After highlighting, users can click 'submit' to initiate the adversarial attack. Specifications: The adversarial attack should be based on the most current and effective techniques for this scenario. The end goal is to modify the targeted text area such that AI misinterprets it as non-text content, effectively making it 'invisible' to AI. For the drawing interface, consider using Gradio or any other suitable and convenient tool. Resources Provided: A folder titled 'adversarial-robustness-toolbox' has been attached. This contains a GitHub repository with up-to-date adversarial attack frameworks that can serve as a foundation for this development.
{
"openai_keys": {
"gpt-3.5-turbo-16k": [
{
"api_key": "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",
"api_base": "https://example.com",
"api_type": "azure",
"api_version": "2023-07-01-preview",
"engine": "GPT-35-Turbo-16k"
},
{
"api_key": "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",
"organization": "org-6Peuqd1RFYHaPELI2ETzkHg8",
"model": "gpt-3.5-turbo-16k"
}
],
"gpt-4": [
{
"api_key": "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",
"organization": "org-6Peuqd1RFYHaPELI2ETzkHg8",
"model": "gpt-4"
},
{
"api_key": "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",
"organization": "org-6Peuqd1RFYHaPELI2ETzkHg8",
"model": "gpt-4"
}
]
},
"default_completion_kwargs": {
"model": "gpt-4",
"temperature": 0.1,
"request_timeout": 60
},
"enable_summary": true,
"summary": {
"single_action_max_length": 1000,
"max_return_length": 4000
},
"use_selfhost_toolserver": true,
"selfhost_toolserver_url": "http://localhost:8080",
"max_retry_times": 2,
"max_subtask_chain_length": 10,
"max_plan_refine_chain_length": 2,
"max_plan_tree_depth": 3,
"max_plan_tree_width": 5,
"max_plan_length": 5000,
"rapidapi_retrieve_tool_count": 0,
"enable_ask_human_for_help": true,
"tool_blacklist": [
"FileSystemEnv_print_filesys_struture"
],
"record_dir": null
}
Human-In-The-Loop True
ToolServer connected in http://localhost:8080
Error happens when uploading file D:\AI\adversarial-robustness-toolbox
[Errno 13] Permission denied: 'D:\AI\adversarial-robustness-toolbox'
Start outer loop async
-=-=-=-=-=-=-= BEGIN QUERY SOVLING -=-=-=-=-=-=-=
Role Assistant
Task Application Development Prompt: Adversarial Attack on Image Content. Objective: Create an application to make text within an image undetectable to AI detection systems. Functionalities: 1)Image Upload: Users should be able to upload an image containing a mix of objects and text. 2)Target Area Selection: Users should be able to highlight or draw on the specific area of the image (primarily text) they wish to target for the adversarial attack. 3)Submission: After highlighting, users can click 'submit' to initiate the adversarial attack. Specifications: The adversarial attack should be based on the most current and effective techniques for this scenario. The end goal is to modify the targeted text area such that AI misinterprets it as non-text content, effectively making it 'invisible' to AI. For the drawing interface, consider using Gradio or any other suitable and convenient tool. Resources Provided: A folder titled 'adversarial-robustness-toolbox' has been attached. This contains a GitHub repository with up-to-date adversarial attack frameworks that can serve as a foundation for this development.
-=-=-=-=-=-=-= GENERATE INITIAL_PLAN -=-=-=-=-=-=-=
Constructing an Agent: PlanGenerateAgent
from _chat_completion_request
openai_chatcompletion_request: using gpt-4
[Task ID] 1
[Name] act as Assistant
[Goal] Application Development Prompt: Adversarial Attack on Image Content. Objective: Create an application to make text within an image undetectable to AI detection systems. Functionalities: 1)Image Upload: Users should be able to upload an image containing a mix of objects and text. 2)Target Area Selection: Users should be able to highlight or draw on the specific area of the image (primarily text) they wish to target for the adversarial attack. 3)Submission: After highlighting, users can click 'submit' to initiate the adversarial attack. Specifications: The adversarial attack should be based on the most current and effective techniques for this scenario. The end goal is to modify the targeted text area such that AI misinterprets it as non-text content, effectively making it 'invisible' to AI. For the drawing interface, consider using Gradio or any other suitable and convenient tool. Resources Provided: A folder titled 'adversarial-robustness-toolbox' has been attached. This contains a GitHub repository with up-to-date adversarial attack frameworks that can serve as a foundation for this development.
[Status] TODO
[Task ID] 1.1
[Name] Design and implement user interface
[Goal] Design a user interface that allows the user to upload an image and select a target area on the image for the adversarial attack. Use a tool like Gradio, and enable a 'submit' button to initiate the attack.
[Status] TODO
[Milestones]
- Interface design is finalized
- Image upload is functional
- Area selection tool is working
- Submit button initiates backend operations
[Task ID] 1.2
[Name] Develop adversarial attack algorithm
[Goal] Using the 'adversarial-robustness-toolbox' repository, develop an algorithm to perform adversarial attacks on the selected parts of the image. The algorithm should effectively make AI misinterpret the selected text areas as non-text content.
[Status] TODO
[Milestones]
- Algorithm design is finalized
- Algorithm can accurately attack targeted text areas
- AI interpret the attacked areas as non-text content
[Task ID] 1.3
[Name] Integrate user interface and adversarial attack algorithm
[Goal] Integrate the user interface and the adversarial attack algorithm to function as a cohesive app. Once the 'submit' button is pressed, the chosen part of the image should be processed by the adversarial attack algorithm.
[Status] TODO
[Milestones]
- Integration of user interface and algorithm is working
- Clicking the 'submit' button triggers the adversarial attack
- Application testing is successful
init cache
-=-=-=-=-=-=-= ITERATIVELY REFINE PLAN BASED ON MEMORY SYSTEM -=-=-=-=-=-=-=
Not Implemented, skip
-=-=-=-=-=-=-= Performing Task 1.1 (Design and implement user interface): Begin -=-=-=-=-=-=-=
Task Name: Design and implement user interface
Task Goal: Design a user interface that allows the user to upload an image and select a target area on the image for the adversarial attack. Use a tool like Gradio, and enable a 'submit' button to initiate the attack.
Task Prior-Criticism: The main challenge here is ensuring the user interface is intuitive and easy to use. This includes providing features such as zooming and moving around the image for precise selection, and clear instructions for users.
Task Milestones:
- Interface design is finalized
- Image upload is functional
- Area selection tool is working
- Submit button initiates backend operations
Task Status: TODO
Constructing an Agent: ToolAgent
Constructing a searching method: ReACTChainSearch
-=-=-=-=-=-=-= THOUGHTS, REASONING, PLAN AND CRITICISM WILL NOW BE VERIFIED BY AGENT -=-=-=-=-=-=-=
from _chat_completion_request
openai_chatcompletion_request: using gpt-4
None
THOUGHTS: In order to design the user interface for this application, I would first create a rough sketch of the design. Since I am an agent specialized in learning rules and can interact with real world through tools, I can actually generate HTML and CSS codes that represent desired elements of user interface. Elements could include an image upload field, a canvas for area selection, and a submit button.
REASONING: When building an application, particularly a web-based one, the first step is typically to design and implement the user interface. This requires creating a sketch or a wireframe of the interface to visualize how it would look and function. As a interactive agent, I would not only sketch out the wireframe, but also write actual web code (HTML/CSS) to represent desired layout and elements of the user interface.
PLAN:
- Design a sketch for the user interface and write corresponding HTML and CSS code
CRITICISM: While this approach allows for both design and implementation, the generated HTML and CSS code may not be perfectly compatible with all screen sizes and devices out of the box. Furthermore, without a backend, this interface won't be able to perform actual operations such as adversarial attacks. So subsequent steps will be needed to address these issues.
NEXT ACTION: COMMAND: FileSystemEnv_write_to_file ARGUMENTS: {'filepath': 'app_design.html', 'content': '\n\n\n\nAdversarial Attack on Image Application
\n\n\n
\n
\n\nYour browser does
not support the HTML5 canvas tag.\n\n
\n
\n\n\n\n'}
SYSTEM: Command FileSystemEnv_write_to_file returned: 0: 1: 2: 3: 4: Adversarial Attack on Image Application
5: 6: 7:
8:
9: 10: Your browser does not support the HTML5 canvas
tag. 11: 12:
13:
14: 15: 16: 17:
TOOL STATUS CODE: TOOL_CALL_SUCCESS
-=-=-=-=-=-=-= THOUGHTS, REASONING, PLAN AND CRITICISM WILL NOW BE VERIFIED BY AGENT -=-=-=-=-=-=-=
Executing AI Function: summarize_action
openai_chatcompletion_request: using gpt-4
Action summarized in 139 tokens
Executing AI Function: actions_reflection
openai_chatcompletion_request: using gpt-4
from _chat_completion_request
openai_chatcompletion_request: using gpt-4
None
THOUGHTS: Since the initial HTML and CSS code for the user interface has already been created, I'll continue improving it and add the functionality for image upload and area selection.
REASONING: Developing a user-friendly interface is key to making the application usable. The interface should have a simple layout with clear instructions to the user. Providing a simple and intuitive image selector will significantly improve the user experience. Therefore, in this step, I'll implement JavaScript functionalities that handle user interactions on the user interface.
PLAN:
- Continue designing and implementing the user interface for the web app
CRITICISM: The current plan is to develop the front-end without actually connecting it to the back-end, which might cause inconsistencies when integrating. However, since this is a high level initial design, it is reasonable to start from the front-end. For better results, we can refine and modify the interface based on user feedback or after integrating with the backend.
NEXT ACTION: COMMAND: FileSystemEnv_modify_file ARGUMENTS: {'filepath': 'app_design.html', 'new_content': '<script>\nfunction InitiateAttack(){\n//code to initiate adversarial attack goes here\n}\n//Code to allow user to select part of image\n// and call InitiateAttack method\n</script>', 'start_index': 17}
SYSTEM: Command FileSystemEnv_modify_file returned: 0: 1: 2: 3: 4: Adversarial Attack on Image Application
5: 6: 7:
8:
9: 10: Your browser does not support the HTML5 canvas tag. 11: 12:
13:
14: 15: 16: 17: <script> 18: function InitiateAttack(){ 19: //code to initiate adversarial attack goes here 20: } 21: //Code to allow user to select part of image 22: // and call InitiateAttack method 23: </script> 24:
TOOL STATUS CODE: TOOL_CALL_SUCCESS
-=-=-=-=-=-=-= THOUGHTS, REASONING, PLAN AND CRITICISM WILL NOW BE VERIFIED BY AGENT -=-=-=-=-=-=-=
Executing AI Function: summarize_action
openai_chatcompletion_request: using gpt-4
Action summarized in 114 tokens
Executing AI Function: actions_reflection
openai_chatcompletion_request: using gpt-4
from _chat_completion_request
openai_chatcompletion_request: using gpt-4
None
THOUGHTS: The next appropriate action is to test the user interface. This will involve uploading different types and sizes of images to ensure that the image upload component is working as expected.
REASONING: Testing is a critical stage in software development. It helps uncover bugs or issues that may have been overlooked during development. By testing the image upload component with different image formats and sizes, we can ensure that it works seamlessly regardless of the image input from the user. This will help improve the overall user experience of the application.
PLAN:
- To test the user interface with different image formats and sizes to ensure it is functional and robust
CRITICISM: A criticism of this thought is that this test might not be comprehensive enough to guarantee the functionality of the interface; for instance, it does not cover the 'Initiate Attack' button or how the application handles incorrect inputs. However, as a first step, it should give us a good indication of whether the primary functionality of uploading an image is operational.
NEXT ACTION: COMMAND: PythonNotebook_execute_cell ARGUMENTS: {'code': "import cv2\nfrom PIL import Image\nimport matplotlib.pyplot as plt\n\n# Load an image\nimage = cv2.imread('path_to_image')\n# Convert the image from BGR to RGB color space\nimage = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)\n# Convert the Numpy array to PIL image format\nimage_pil = Image.fromarray(image)\n# Display the image\nplt.imshow(image_pil)\nplt.show()"}
SYSTEM: Command PythonNotebook_execute_cell returned: {"detail":"cell_index: 0\n---------------------------------------------------------------------------\nModuleNotFoundError
Traceback (most recent call last)\nCell In[1], line 1\n----> 1 import cv2\n 2 from PIL import Image\n 3 import matplotlib.pyplot as plt\n\nModuleNotFoundError: No module named 'cv2'"}
TOOL STATUS CODE: TOOL_CALL_FAILED
-=-=-=-=-=-=-= THOUGHTS, REASONING, PLAN AND CRITICISM WILL NOW BE VERIFIED BY AGENT -=-=-=-=-=-=-=
Executing AI Function: summarize_action
openai_chatcompletion_request: using gpt-4
Action summarized in 190 tokens
Executing AI Function: actions_reflection
openai_chatcompletion_request: using gpt-4
from _chat_completion_request
openai_chatcompletion_request: using gpt-4
None
THOUGHTS: As I cannot import cv2 in Python, it seems this package have not been installed in Python. I should use the shell command executor tool to install it before testing
the image upload module functionality.
REASONING: The cv2 Python library package is needed to handle image processing in Python and it is not currently installed in my Python environment. Hence, I need to install it to be able to test the image upload functionality of the image adversarial attack application. Using the shell command executor tool, I am capable of executing package installation commands in root privilege.
PLAN:
- Run shell command to install required packages
CRITICISM: This is a necessary step to be able to test the image upload functionality. Although, I should make sure that the package installation won't introduce any new conflicts in the environment configuration.
NEXT ACTION: COMMAND: shell_command_executor ARGUMENTS: {'command': 'pip install opencv-python-headless', 'run_async': False}
SYSTEM: Command shell_command_executor returned: {"detail":{"ReturnCode":1,"display":"\nstdout:\nLooking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\nCollecting opencv-python-headless\n Downloading https://pypi.tuna.tsinghua.edu.cn/packages/9d/d7/e2aaf344254292d2046f9984b54212e4e7d69a57d30ae15e7294840710f6/opencv_python_headless-4.8.1.78-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (49.1 MB)\n ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 49.1/49.1 MB 3.6 MB/s eta 0:00:00\nRequirement already satisfied: numpy>=1.17.0 in /usr/local/lib/python3.10/site-packages (from opencv-python-headless) (1.26.1)\nInstalling collected packages: opencv-python-headless\n"}}
TOOL STATUS CODE: TOOL_CALL_FAILED
-=-=-=-=-=-=-= THOUGHTS, REASONING, PLAN AND CRITICISM WILL NOW BE VERIFIED BY AGENT -=-=-=-=-=-=-=
Executing AI Function: summarize_action
openai_chatcompletion_request: using gpt-4
Action summarized in 200 tokens
Executing AI Function: actions_reflection
openai_chatcompletion_request: using gpt-4
from _chat_completion_request
openai_chatcompletion_request: using gpt-4
None
THOUGHTS: Next, I need to ensure the interface allows users to select a specific image area. I can achieve this by adding an event handler in JavaScript.
REASONING: The application requires users to be able to select specific areas in the uploaded image for applying the adversarial attack. The simplest and most user-friendly way
to implement this would be through the usage of existing HTML and JavaScript functionalities. A click and drag functionality on the image could be used for area selection.
PLAN:
- Improve Current Design by refining HTML and CSS code followed by adding relevant JavaScript Functionalities
CRITICISM: While the plan to use JavaScript for image upload and area selection is valid, one challenge could be the seamless integration of the HTML, CSS and JavaScript code such that it functions optimally across different browsers and screen sizes. Additionally, updating the code without backend functionality could be short-sighted, as we eventually need to link the user interface with the underlying adversarial algorithm.
NEXT ACTION: COMMAND: FileSystemEnv_modify_file ARGUMENTS: {'filepath': 'app_design.html', 'new_content': "<script>\nlet canvas = document.getElementById('myCanvas');\nlet context = canvas.getContext('2d');\nlet rect = {};\nlet drag = false;\nfunction init() {\n canvas.addEventListener('mousedown', mouseDown, false);\n canvas.addEventListener('mouseup', mouseUp, false);\n canvas.addEventListener('mousemove', mouseMove, false);\n}\nfunction mouseDown(e) {\n rect.startX = e.pageX - this.offsetLeft;\n rect.startY = e.pageY - this.offsetTop;\n drag = true;\n}\nfunction mouseUp() { drag = false; }\nfunction mouseMove(e) {\n if (drag) {\n rect.w = (e.pageX - this.offsetLeft) - rect.startX;\n rect.h = (e.pageY - this.offsetTop) - rect.startY ;\n context.clearRect(0,0,canvas.width,canvas.height);\n draw();\n }\n}\nfunction draw() {\n context.fillRect(rect.startX, rect.startY, rect.w, rect.h);\n}\ninit();\n</script>", 'start_index': 25}
Traceback (most recent call last):
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 203, in _new_conn
sock = connection.create_connection(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\util\connection.py", line 85, in create_connection
raise err
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\util\connection.py", line 73, in create_connection
sock.connect(sa)
ConnectionRefusedError: [WinError 10061] No connection could be made because the target machine actively refused it
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connectionpool.py", line 791, in urlopen
response = self._make_request(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connectionpool.py", line 497, in _make_request
conn.request(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 395, in request
self.endheaders()
File "C:\Users\pedro\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 1271, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "C:\Users\pedro\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 1031, in _send_output
self.send(msg)
File "C:\Users\pedro\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 969, in send
self.connect()
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 243, in connect
self.sock = self._new_conn()
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 218, in _new_conn
raise NewConnectionError(
urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPConnection object at 0x000001D641569600>: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "D:\AI\XAgent\myenv\lib\site-packages\requests\adapters.py", line 486, in send
resp = conn.urlopen(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connectionpool.py", line 845, in urlopen
retries = retries.increment(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\util\retry.py", line 515, in increment
raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='localhost', port=8080): Max retries exceeded with url: /execute_tool (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x000001D641569600>: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it'))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\AI\XAgent\XAgentServer\server.py", line 104, in interact
await task_handler.outer_loop_async()
File "D:\AI\XAgent\XAgent\workflow\task_handler.py", line 146, in outer_loop_async
search_method = await self.inner_loop_async(self.now_dealing_task)
File "D:\AI\XAgent\XAgent\workflow\task_handler.py", line 292, in inner_loop_async
await search_method.run_async(config=self.config,
File "D:\AI\XAgent\XAgent\inner_loop_search_algorithms\ReACT.py", line 64, in run_async
await self.generate_chain_async(config, agent, task_handler, function_list, tool_functions_description_list, task_id)
File "D:\AI\XAgent\XAgent\inner_loop_search_algorithms\ReACT.py", line 331, in generate_chain_async
tool_output, tool_output_status_code, need_for_plan_refine, using_tools = function_handler.handle_tool_call(
File "D:\AI\XAgent\XAgent\tool_call_handle.py", line 371, in handle_tool_call
command_result, tool_output_status_code, = toolserver_interface.execute_command_client(
File "D:\AI\XAgent\XAgent\tool_call_handle.py", line 216, in execute_command_client
response = requests.post(url, json=payload, cookies=self.cookies)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\api.py", line 115, in post
return request("post", url, data=data, json=json, **kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\api.py", line 59, in request
return session.request(method=method, url=url, **kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\adapters.py", line 519, in send
raise ConnectionError(e, request=request)
requests.exceptions.ConnectionError: HTTPConnectionPool(host='localhost', port=8080): Max retries exceeded with url: /execute_tool (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x000001D641569600>: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it'))
Traceback (most recent call last):
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 203, in _new_conn
sock = connection.create_connection(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\util\connection.py", line 85, in create_connection
raise err
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\util\connection.py", line 73, in create_connection
sock.connect(sa)
ConnectionRefusedError: [WinError 10061] No connection could be made because the target machine actively refused it
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connectionpool.py", line 791, in urlopen
response = self._make_request(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connectionpool.py", line 497, in _make_request
conn.request(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 395, in request
self.endheaders()
File "C:\Users\pedro\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 1271, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "C:\Users\pedro\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 1031, in _send_output
self.send(msg)
File "C:\Users\pedro\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 969, in send
self.connect()
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 243, in connect
self.sock = self._new_conn()
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 218, in _new_conn
raise NewConnectionError(
urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPConnection object at 0x000001D641569600>: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "D:\AI\XAgent\myenv\lib\site-packages\requests\adapters.py", line 486, in send
resp = conn.urlopen(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connectionpool.py", line 845, in urlopen
retries = retries.increment(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\util\retry.py", line 515, in increment
raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='localhost', port=8080): Max retries exceeded with url: /execute_tool (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x000001D641569600>: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it'))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\AI\XAgent\XAgentServer\server.py", line 107, in interact
raise e
File "D:\AI\XAgent\XAgentServer\server.py", line 104, in interact
await task_handler.outer_loop_async()
File "D:\AI\XAgent\XAgent\workflow\task_handler.py", line 146, in outer_loop_async
search_method = await self.inner_loop_async(self.now_dealing_task)
File "D:\AI\XAgent\XAgent\workflow\task_handler.py", line 292, in inner_loop_async
await search_method.run_async(config=self.config,
File "D:\AI\XAgent\XAgent\inner_loop_search_algorithms\ReACT.py", line 64, in run_async
await self.generate_chain_async(config, agent, task_handler, function_list, tool_functions_description_list, task_id)
File "D:\AI\XAgent\XAgent\inner_loop_search_algorithms\ReACT.py", line 331, in generate_chain_async
tool_output, tool_output_status_code, need_for_plan_refine, using_tools = function_handler.handle_tool_call(
File "D:\AI\XAgent\XAgent\tool_call_handle.py", line 371, in handle_tool_call
command_result, tool_output_status_code, = toolserver_interface.execute_command_client(
File "D:\AI\XAgent\XAgent\tool_call_handle.py", line 216, in execute_command_client
response = requests.post(url, json=payload, cookies=self.cookies)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\api.py", line 115, in post
return request("post", url, data=data, json=json, **kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\api.py", line 59, in request
return session.request(method=method, url=url, **kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\adapters.py", line 519, in send
raise ConnectionError(e, request=request)
requests.exceptions.ConnectionError: HTTPConnectionPool(host='localhost', port=8080): Max retries exceeded with url: /execute_tool (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x000001D641569600>: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it'))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 203, in _new_conn
sock = connection.create_connection(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\util\connection.py", line 85, in create_connection
raise err
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\util\connection.py", line 73, in create_connection
sock.connect(sa)
ConnectionRefusedError: [WinError 10061] No connection could be made because the target machine actively refused it
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connectionpool.py", line 791, in urlopen
response = self._make_request(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connectionpool.py", line 497, in _make_request
conn.request(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 395, in request
self.endheaders()
File "C:\Users\pedro\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 1271, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "C:\Users\pedro\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 1031, in _send_output
self.send(msg)
File "C:\Users\pedro\AppData\Local\Programs\Python\Python310\lib\http\client.py", line 969, in send
self.connect()
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 243, in connect
self.sock = self._new_conn()
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connection.py", line 218, in _new_conn
raise NewConnectionError(
urllib3.exceptions.NewConnectionError: <urllib3.connection.HTTPConnection object at 0x000001D6415683A0>: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "D:\AI\XAgent\myenv\lib\site-packages\requests\adapters.py", line 486, in send
resp = conn.urlopen(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\connectionpool.py", line 845, in urlopen
retries = retries.increment(
File "D:\AI\XAgent\myenv\lib\site-packages\urllib3\util\retry.py", line 515, in increment
raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type]
urllib3.exceptions.MaxRetryError: HTTPConnectionPool(host='localhost', port=8080): Max retries exceeded with url: /download_workspace (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x000001D6415683A0>: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it'))
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\AI\XAgent\run.py", line 50, in
cmd.start(
File "D:\AI\XAgent\command.py", line 163, in start
self.run({
File "D:\AI\XAgent\command.py", line 137, in run
asyncio.run(server.interact(interaction=interaction))
File "C:\Users\pedro\AppData\Local\Programs\Python\Python310\lib\asyncio\runners.py", line 44, in run
return loop.run_until_complete(main)
File "C:\Users\pedro\AppData\Local\Programs\Python\Python310\lib\asyncio\base_events.py", line 641, in run_until_complete
return future.result()
File "D:\AI\XAgent\XAgentServer\server.py", line 109, in interact
toolserver_interface.download_all_files()
File "D:\AI\XAgent\XAgent\tool_call_handle.py", line 98, in download_all_files
response = requests.post(url, cookies=self.cookies,)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\api.py", line 115, in post
return request("post", url, data=data, json=json, **kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\api.py", line 59, in request
return session.request(method=method, url=url, **kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\sessions.py", line 589, in request
resp = self.send(prep, **send_kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\sessions.py", line 703, in send
r = adapter.send(request, **kwargs)
File "D:\AI\XAgent\myenv\lib\site-packages\requests\adapters.py", line 519, in send
raise ConnectionError(e, request=request)
requests.exceptions.ConnectionError: HTTPConnectionPool(host='localhost', port=8080): Max retries exceeded with url: /download_workspace (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x000001D6415683A0>: Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it'))
2023_10_20_14_14_09cf4f4d9e.zip
`
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