D:\Portable Apps\Agent-E-master>.venv\Scripts\python -u -m ae.main [2024-12-31 12:33:53] INFO {agents_llm_config.py:54} - Loading configuration from: agents_llm_config.json with key: openai_gpt [2024-12-31 12:33:53] INFO {agents_llm_config.py:66} - Using configuration key 'openai_gpt' from the config file. >>> Creating AutogenWrapper with ['user', 'planner_agent', 'browser_nav_agent', 'browser_nav_executor'], Planner max chat rounds: 50, browser nav max chat rounds: 10. Save chat logs to files: True >>> Created browser_nav_executor_agent: [2024-12-31 12:33:53] INFO {static_ltm.py:17} - User preferences loaded from: D:\Portable Apps\Agent-E-master\ae\user_preferences\user_preferences.txt [2024-12-31 12:33:53] INFO {high_level_planner_agent.py:45} - Planner agent using model: lmstudio-community/llama-3.2-3b-instruct [2024-12-31 12:33:53] INFO {static_ltm.py:17} - User preferences loaded from: D:\Portable Apps\Agent-E-master\ae\user_preferences\user_preferences.txt [2024-12-31 12:33:53] INFO {browser_nav_agent.py:54} - Browser nav agent using model: lmstudio-community/llama-3.2-3b-instruct [2024-12-31 12:33:55] INFO {playwright_manager.py:138} - User dir: C:\Users\Usuario\AppData\Local\Google\Chrome\User Data\Default [2024-12-31 12:34:05] INFO {system_orchestrator.py:164} - Received command: DL a random drawing of a robot [2024-12-31 12:34:05] INFO {system_orchestrator.py:176} - Processing command: DL a random drawing of a robot [2024-12-31 12:34:05] INFO {autogen_wrapper.py:362} - Prompt for command: Execute the user task "DL a random drawing ofa robot" Current Page: https://www.google.com/ user (to planner_agent): Execute the user task "DL a random drawing of a robot" Current Page: https://www.google.com/ -------------------------------------------------------------------------------- [2024-12-31 12:34:05] DEBUG {_base_client.py:452} - Request options: {'method': 'post', 'url': '/chat/completions', 'files': None, 'json_data': {'messages': [{'content': 'You are a web automation task planner. You will receive tasks from the user and will work with a naive helper to accomplish it.\nYou will think step by step and break down the tasks into sequence of simple subtasks. Subtasks will be delegated to the helper to execute.\n\nReturn Format:\nYour reply will strictly be a well-fromatted JSON with four attributes.\n"plan": This is a string that contains the high-level plan. This isoptional and needs to be present only when a task starts and when the plan needs to be revised.\n"next_step": This is a string that contains a detailed next step that is consistent with the plan. The next step will be delegated to the helper to execute. This needs to be present for every response except when terminating\n"terminate": yes/no. Return yes when the exact task is complete without any compromises or you are absolutely convinced that the task cannot be completed, no otherwise. This is mandatory for every response.\n"final_response": This is the final answer string that will be returned to the user. In search tasks, unless explicitly stated, you will provide the single best suited result in the response instead of listing multiple options. This attribute only needs to be present when terminate is true.\n\nCapabilitiesand limitation of the helper:\n1. Helper can navigate to urls, perform simple interactions on a page or answer any question you may have about the current page.\n2. Helper cannot perform complex planning, reasoning or analysis. You will not delegate any such tasks to helper, instead you will perform them based on information from the helper.\n3. Helper is stateless and treats each step as a new task. Helper will not remember previous pages or actions. So, you will provide all necessary information as part of each step.\n4. Very Important: Helper cannot go back to previous pages. If you need the helper to return to a previous page, you must explicitly add the URL of the previous page in the step (e.g. return tothe search result page by navigating to the url https://www.google.com/search?q=Finland")\n\nGuidelines:\n1. If you know the direct URL, use it directly instead of searching for it (e.g. go to www.espn.com). Optimise the plan to avoid unnecessary steps.\n2. Do not assume any capability exists on the webpage. Ask questions to the helper to confirm the presence of features (e.g. is there a sort by price feature available on the page?). This will help you revise the plan as needed and also establish common ground with the helper.\n3. Do not combine multiple steps into one. A step should be strictly as simple as interacting with a single element or navigating to a page. If you need to interact with multiple elements or perform multiple actions, you will break it down into multiple steps.\n4. Important: You will NOT ask for any URLsof hyperlinks in the page from the helper, instead you will simply ask the helper to click on specific result. URL of the current page will be automatically provided to you with each helper response.\n5. Very Important: Add verification aspart of the plan, after each step and specifically before terminating to ensure that the task is completed successfully. Ask simple questions to verify the step completion (e.g. Can you confirm that White Nothing Phone 2 with 16GB RAM is present in the cart?). Do not assume the helper has performed the task correctly.\n6. If the task requires multiple informations, all of them are equally important and should be gathered before terminating the task. You will strive to meet all the requirements of the task.\n7. If one plan fails, you MUST revise the plan and try a different approach. You will NOT terminate a task untill you are absolutely convinced that the task is impossible to accomplish.\n\nComplexities of web navigation:\n1. Many forms have mandatory fields that need to be filled up before they can be submitted. Ask the helper for what fields look mandatory.\n2. In many websites, there are multiple options to filter or sort results. Ask the helper to list any elements on the page which will help the task (e.g. are there any links or interactive elements that may lead me to the support page?).\n3. Always keep in mind complexities such as filtering, advanced search, sorting, andother features that may be present on the website. Ask the helper whether these features are available on the page whenrelevant and use them when the task requires it.\n4. Very often list of items such as, search results, list of products, list of reviews, list of people etc. may be divided into multiple pages. If you need complete information, it is critical to explicitly ask the helper to go through all the pages.\n5. Sometimes search capabilities available on the page will not yield the optimal results. Revise the search query to either more specific or more generic.\n6. When a page refreshes or navigates to a new page, information entered in the previous page may be lost. Check that the information needs to be re-entered (e.g. what are the values in source and destination on the page?).\n7. Sometimes some elements may not be visible or be disabled until some other action is performed. Ask the helper to confirm if there are any other fields that may need to be interacted for elements to appear or be enabled.\n\nExample 1:\nTask: Find the cheapest premium economy flights from Helsinki to Stockholm on 15 March on Skyscanner. Current page: www.google.com\n{"plan":"1. Go to www.skyscanner.com.\n2. List the interaction options available on skyscanner page relevant for flight reservation along with their default values.\n3. Select the journey option to one-way (if not default).\n4. Set number of passengers to 1 (if not default).\n5. Set the departure date to 15 March 2025 (since 15 March 2024 is already past).\n6. Set ticket type to Economy Premium.\n7. Set from airport to ""Helsinki".\n8. Set destination airport to Stockhokm\n9. Confirm that current values in the source airport, destination airport and departure date fields are Helsinki, Stockholm and 15 August 2024 respectively.\n10. Click on the search button to get the search results.\n11. Confirm that you are on the search results page.\n12. Extract the price of the cheapest flight from Helsinki to Stokchol from the search results.",\n"next_step": "Goto https://www.skyscanner.com",\n"terminate":"no"},\nAfter the task is completed and when terminating:\nYour reply: {"terminate":"yes", "final_response": "The cheapest premium economy flight from Helsinki to Stockholm on 15 March 2025 is ."}\n\nNotice above how there is confirmation after each step and how interaction (e.g. setting source and destination) with each element is a seperate step. Follow same pattern.\nRemember: you are a very very persistent planner who will try every possible strategy to accomplish the task perfectly.\nRevise search query if needed, ask for more information if needed, and always verify the results before terminating the task.\nSome basic information about the user: \nPersonal Info:\nFirst Name: Dogway\nLast Name: none\nDate of birth: 10/10/1984\nOccupation: Software Engineer\nAddress: SPAIN\nEmail: myemail@gmail.com\nPhone Number: 123-456-7890\nHere are some of my preferences:\nShopping Preferences:www.amazon.com\nFavorite news source: www.bbc.com\nFavorite flight booking site to use with every flight related query:https://www.google.com/travel/flights\nToday\'s date is 31 December 2024', 'role': 'system'}, {'content': 'Execute the user task "DL a random drawing of a robot" Current Page: https://www.google.com/', 'role': 'user', 'name': 'user'}], 'model': 'lmstudio-community/llama-3.2-3b-instruct', 'seed': 35124, 'stream': False, 'temperature': 0.1, 'top_p': 0.1}} [2024-12-31 12:34:05] DEBUG {_base_client.py:987} - Sending HTTP Request: POST http://localhost:1234/v1/chat/completions [2024-12-31 12:34:20] DEBUG {_base_client.py:1026} - HTTP Response: POST http://localhost:1234/v1/chat/completions "200OK" Headers({'x-powered-by': 'Express', 'content-type': 'application/json; charset=utf-8', 'content-length': '920', 'etag': 'W/"398-ThrR/bT2U1WkB/6U7HeaFXNeXK8"', 'date': 'Tue, 31 Dec 2024 12:34:20 GMT', 'connection': 'keep-alive', 'keep-alive': 'timeout=5'}) [2024-12-31 12:34:20] DEBUG {_base_client.py:1034} - request_id: None [autogen.oai.client: 12-31 12:34:20] {351} WARNING - Model lmstudio-community/llama-3.2-3b-instruct is not found. The cost will be 0. In your config_list, add field {"price" : [prompt_price_per_1k, completion_token_price_per_1k]} for customized pricing. [2024-12-31 12:34:20] WARNING {client.py:351} - Model lmstudio-community/llama-3.2-3b-instruct is not found. The cost will be 0. In your config_list, add field {"price" : [prompt_price_per_1k, completion_token_price_per_1k]} for customizedpricing. planner_agent (to user): {"plan":"1. Go to www.google.com. 2. Search for \"random drawing of a robot\" in the search bar. 3. Click on the first result that appears in the search results page. 4. Confirm that the user is on the image search results page. 5. Select a random drawing of a robot from the search results.", "next_step": "Enter search query 'random drawing of a robot' in the search bar", "terminate":"no"} -------------------------------------------------------------------------------- [2024-12-31 12:34:20] WARNING {response_parser.py:27} - LLM response was not properly formed JSON. Will try to use it as is. LLM response: "{"plan":"1. Go to www.google.com. 2. Search for \"random drawing of a robot\" in the search bar. 3. Click on the first result that appears in the search results page. 4. Confirm that the user is on the image search results page. 5. Select a random drawing of a robot from the search results.", "next_step": "Enter search query 'random drawing of a robot' in the search bar", "terminate":"no"}". Error: Invalid control character at: line 1 column 34 (char 33) [2024-12-31 12:34:20] WARNING {response_parser.py:27} - LLM response was not properly formed JSON. Will try to use it as is. LLM response: "{"plan":"1. Go to www.google.com. 2. Search for \"random drawing of a robot\" in the search bar. 3. Click on the first result that appears in the search results page. 4. Confirm that the user is on the image search results page. 5. Select a random drawing of a robot from the search results.", "next_step": "Enter search query 'random drawing of a robot' in the search bar", "terminate":"no"}". Error: Invalid control character at: line 1 column 34 (char 33) [2024-12-31 12:34:20] WARNING {response_parser.py:27} - LLM response was not properly formed JSON. Will try to use it as is. LLM response: "{"plan":"1. Go to www.google.com. 2. Search for \"random drawing of a robot\" in the search bar. 3. Click on the first result that appears in the search results page. 4. Confirm that the user is on the image search results page. 5. Select a random drawing of a robot from the search results.", "next_step": "Enter search query 'random drawing of a robot' in the search bar", "terminate":"no"}". Error: Invalid control character at: line 1 column 34 (char 33) Adding system message: "Plan:\n1. Go to www.google.com.\n 2. Search for \\random drawing of a robot\\ in the search bar.\n 3. Click on the first result that appears in the search results page.\n 4. Confirm that the user is on the image search results page.\n 5. Select a random drawing of a robot from the search results." No listeners available, discarding message: {'message': 'Plan:\n1. Go to www.google.com.\n 2. Search for \\random drawing of a robot\\ in the search bar.\n 3. Click on the first result that appears in the search results page.\n 4. Confirm that the user is on the image search results page.\n 5. Select a random drawing of a robot from the search results.', 'type': 'plan'} Adding system message: "Next step: Enter search query 'random drawing of a robot' in the search bar" No listeners available, discarding message: {'message': "Next step: Enter search query 'random drawing of a robot' in the search bar", 'type': 'step'} [2024-12-31 12:34:20] WARNING {response_parser.py:27} - LLM response was not properly formed JSON. Will try to use it as is. LLM response: "{"plan":"1. Go to www.google.com. 2. Search for \"random drawing of a robot\" in the search bar. 3. Click on the first result that appears in the search results page. 4. Confirm that the user is on the image search results page. 5. Select a random drawing of a robot from the search results.", "next_step": "Enter search query 'random drawing of a robot' in the search bar", "terminate":"no"}". Error: Invalid control character at: line 1 column 34 (char 33) ******************************************************************************** Starting a new chat.... ******************************************************************************** browser_nav_executor (to browser_navigation_agent): : Enter search query 'random drawing of a robot' in the search bar, Current Page: https://www.google.com/, Title: Google -------------------------------------------------------------------------------- >>>>>>>> USING AUTO REPLY... [2024-12-31 12:34:20] DEBUG {_base_client.py:452} - Request options: {'method': 'post', 'url': '/chat/completions', 'files': None, 'json_data': {'messages': [{'content': 'You will perform web navigation tasks, which may include logging into websites and interacting with any web content using the functions made available to you.\n Use the provided DOM representation for element location or text summarization.\n Interact with pages using only the "mmid" attribute in DOM elements.\n You must extract mmid value from the fetched DOM, do not conjure it up.\n Execute function sequentially toavoid navigation timing issues. Once a task is completed, confirm completion with ##TERMINATE TASK##.\n The given actions are NOT parallelizable. They are intended for sequential execution.\n If you need to call multiple functions in atask step, call one function at a time. Wait for the function\'s response before invoking the next function. This is important to avoid collision.\n Strictly for search fields, submit the field by pressing Enter key. For other forms, click on the submit button.\n Unless otherwise specified, the task must be performed on the current page. Use openurl only when explicitly instructed to navigate to a new page with a url specified. If you do not know the URL ask for it.\n You will NOT provide any URLs of links on webpage. If user asks for URLs, you will instead provide the text of the hyperlink on the page and offer to click on it. This is very very important.\n When inputing information, remember to follow the format of the input field. For example, if the input field is a date field, you will enter the date in the correctformat (e.g. YYYY-MM-DD), you may get clues from the placeholder text in the input field.\n if the task is ambigous or there are multiple options to choose from, you will ask the user for clarification. You will not make any assumptions.\n Individual function will reply with action success and if any changes were observed as a consequence. Adjust your approach based on this feedback.\n Once the task is completed or cannot be completed, return a short summary of the actions you performed to accomplish the task, and what worked and what did not. This should be followed by ##TERMINATE TASK##. Your reply will not contain any other information.\n Additionally, If task requires an answer, you will also provide a short and precise answer followed by ##TERMINATE TASK##.\n Ensure that user questions are answered from the DOM and not from memory or assumptions. To answer a question about textual information on the page, prefer to use text_only DOM type. To answer a question about interactive elements, use all_fields DOM type.\n Do not provide any mmid values inyour response.\n Important: If you encounter an issues or is unsure how to proceed, simply ##TERMINATE TASK## and provide a detailed summary of the exact issue encountered.\n Do not repeat the same action multiple times if it fails. Instead, if something did not work after a few attempts, terminate the task.\nToday\'s date is 31 December 2024', 'role': 'system'}, {'content': ": Enter search query 'random drawing of a robot' in the search bar, Current Page: https://www.google.com/, Title: Google", 'role': 'user', 'name': 'browser_nav_executor'}], 'model': 'lmstudio-community/llama-3.2-3b-instruct', 'seed': 35124, 'stream': False, 'temperature': 0.1, 'tools': [{'type': 'function', 'function': {'description':'Opens a specified URL in the web browser instance. Returns url of the new page if successful or appropriate error message if the page could not be opened.', 'name': 'openurl', 'parameters': {'type': 'object', 'properties': {'url': {'type': 'string', 'description': 'The URL to navigate to. Value must include the protocol (http:// or https://).'}, 'timeout':{'type': 'integer', 'default': 3, 'description': 'Additional wait time in seconds after initial load.'}}, 'required': ['url']}}}, {'type': 'function', 'function': {'description': 'Retrieves the DOM of the current web site based on the given content type.\n The DOM representation returned contains items ordered in the same way they appear on the page. Keepthis in mind when executing user requests that contain ordinals or numbered items.\n text_only - returns plain text representing all the text in the web site. Use this for any information retrieval task. This will contain the most complete textual information.\n input_fields - returns a JSON string containing a list of objects representing text input html elements with mmid attribute. Use this strictly for interaction purposes with text input fields.\n all_fields - returns a JSON string containing a list of objects representing all interactive elements and their attributes with mmid attribute. Use this strictly to identify and interact with any type of elements on page.\n If information is not available in one content type, you must try another content_type.', 'name': 'get_dom_with_content_type', 'parameters': {'type': 'object', 'properties': {'content_type': {'type': 'string', 'description': "The type of content to extract: 'text_only':Extracts the innerText of the highest element in the document and responds with text, or 'input_fields': Extracts the text input and button elements in the dom."}}, 'required': ['content_type']}}}, {'type': 'function', 'function': {'description': 'Executes a click action on the element matching the given mmid attribute value. It is best to use mmid attribute as the selector.\n Returns Success if click was successful or appropriate error message if the element could not be clicked.', 'name': 'click', 'parameters': {'type': 'object', 'properties': {'selector': {'type': 'string', 'description': 'The properly formed query selector string to identify the element for the click action (e.g. [mmid=\'114\']). When "mmid" attribute is present, use it for the query selector.'}, 'wait_before_execution': {'type': 'number', 'default': 0.0,'description': 'Optional wait time in seconds before executing the click event logic.'}}, 'required': ['selector']}}}, {'type': 'function', 'function': {'description': 'Get the full URL of the current web page/site. If the user command seems to imply an action that would be suitable for an already open website in their browser, use this to fetch current website URL.', 'name': 'geturl', 'parameters': {'type': 'object', 'properties': {}, 'required': []}}}, {'type': 'function','function': {'description': 'Bulk enter text in multiple DOM fields. To be used when there are multiple fields to be filled on the same page.\n Enters text in the DOM elements matching the given mmid attribute value.\n The input will receive a list of objects containing the DOM query selector and the text to enter.\n This will only enter the text and not press enter or anything else.\n Returns each selector and the result for attempting to enter text.', 'name': 'bulk_enter_text', 'parameters': {'type': 'object', 'properties': {'entries': {'items': {'additionalProperties': {'type': 'string'}, 'type': 'object'}, 'type': 'array', 'description': "List of objects, each containing 'query_selector' and 'text'."}}, 'required': ['entries']}}}, {'type': 'function', 'function': {'description': 'Single enter given text in the DOM element matching the given mmid attribute value. This will only enter the text and not press enter or anything else.\n Returns Success if text entry was successful or appropriate error message if text could not be entered.', 'name': 'entertext', 'parameters': {'type': 'object', 'properties': {'entry': {'properties': {'query_selector': {'title': 'Query Selector', 'type': 'string'}, 'text': {'title': 'Text', 'type': 'string'}}, 'required': ['query_selector', 'text'], 'title': 'EnterTextEntry', 'type': 'object', 'description': "An object containing 'query_selector' (DOM selector query using mmidattribute e.g. [mmid='114']) and 'text' (text to enter on the element)."}}, 'required': ['entry']}}}, {'type': 'function', 'function': {'description': 'Presses the given key on the current web page.\n This is useful for pressing the enter button to submit a search query, PageDown to scroll, ArrowDown to change selection in a focussed list etc.', 'name': 'press_key_combination', 'parameters': {'type': 'object', 'properties': {'key_combination': {'type': 'string', 'description': 'The key to press, e.g., Enter, PageDown etc'}}, 'required': ['key_combination']}}}, {'type': 'function', 'function': {'description': 'Extracts text from a PDF file hosted at the given URL.', 'name': 'extract_text_from_pdf', 'parameters': {'type': 'object', 'properties': {'pdf_url': {'type': 'string', 'description': 'The URL of the PDF file to extract text from.'}}, 'required': ['pdf_url']}}}], 'top_p': 0.1}} [2024-12-31 12:34:20] DEBUG {_base_client.py:987} - Sending HTTP Request: POST http://localhost:1234/v1/chat/completions [2024-12-31 12:34:27] DEBUG {_base_client.py:1026} - HTTP Response: POST http://localhost:1234/v1/chat/completions "200OK" Headers({'x-powered-by': 'Express', 'content-type': 'application/json; charset=utf-8', 'content-length': '826', 'etag': 'W/"33a-yA45AgitB7R0NGBY/BNNaFtI9Pc"', 'date': 'Tue, 31 Dec 2024 12:34:27 GMT', 'connection': 'keep-alive', 'keep-alive': 'timeout=5'}) [2024-12-31 12:34:27] DEBUG {_base_client.py:1034} - request_id: None [autogen.oai.client: 12-31 12:34:27] {351} WARNING - Model lmstudio-community/llama-3.2-3b-instruct is not found. The cost will be 0. In your config_list, add field {"price" : [prompt_price_per_1k, completion_token_price_per_1k]} for customized pricing. [2024-12-31 12:34:27] WARNING {client.py:351} - Model lmstudio-community/llama-3.2-3b-instruct is not found. The cost will be 0. In your config_list, add field {"price" : [prompt_price_per_1k, completion_token_price_per_1k]} for customizedpricing. browser_navigation_agent (to browser_nav_executor): ***** Suggested tool call (809191655): enter_text ***** Arguments: {"entries":"[{\"query_selector\": \"#search\", \"text\": \"random drawing of a robot\"}]"} ******************************************************* -------------------------------------------------------------------------------- browser_nav_executor (to browser_navigation_agent): browser_nav_executor (to browser_navigation_agent): ***** Response from calling tool (809191655) ***** Error: Function enter_text not found. ************************************************** -------------------------------------------------------------------------------- >>>>>>>> USING AUTO REPLY... [2024-12-31 12:34:27] DEBUG {_base_client.py:452} - Request options: {'method': 'post', 'url': '/chat/completions', 'files': None, 'json_data': {'messages': [{'content': 'You will perform web navigation tasks, which may include logging into websites and interacting with any web content using the functions made available to you.\n Use the provided DOM representation for element location or text summarization.\n Interact with pages using only the "mmid" attribute in DOM elements.\n You must extract mmid value from the fetched DOM, do not conjure it up.\n Execute function sequentially toavoid navigation timing issues. Once a task is completed, confirm completion with ##TERMINATE TASK##.\n The given actions are NOT parallelizable. They are intended for sequential execution.\n If you need to call multiple functions in atask step, call one function at a time. Wait for the function\'s response before invoking the next function. This is important to avoid collision.\n Strictly for search fields, submit the field by pressing Enter key. For other forms, click on the submit button.\n Unless otherwise specified, the task must be performed on the current page. Use openurl only when explicitly instructed to navigate to a new page with a url specified. If you do not know the URL ask for it.\n You will NOT provide any URLs of links on webpage. If user asks for URLs, you will instead provide the text of the hyperlink on the page and offer to click on it. This is very very important.\n When inputing information, remember to follow the format of the input field. For example, if the input field is a date field, you will enter the date in the correctformat (e.g. YYYY-MM-DD), you may get clues from the placeholder text in the input field.\n if the task is ambigous or there are multiple options to choose from, you will ask the user for clarification. You will not make any assumptions.\n Individual function will reply with action success and if any changes were observed as a consequence. Adjust your approach based on this feedback.\n Once the task is completed or cannot be completed, return a short summary of the actions you performed to accomplish the task, and what worked and what did not. This should be followed by ##TERMINATE TASK##. Your reply will not contain any other information.\n Additionally, If task requires an answer, you will also provide a short and precise answer followed by ##TERMINATE TASK##.\n Ensure that user questions are answered from the DOM and not from memory or assumptions. To answer a question about textual information on the page, prefer to use text_only DOM type. To answer a question about interactive elements, use all_fields DOM type.\n Do not provide any mmid values inyour response.\n Important: If you encounter an issues or is unsure how to proceed, simply ##TERMINATE TASK## and provide a detailed summary of the exact issue encountered.\n Do not repeat the same action multiple times if it fails. Instead, if something did not work after a few attempts, terminate the task.\nToday\'s date is 31 December 2024', 'role': 'system'}, {'content': ": Enter search query 'random drawing of a robot' in the search bar, Current Page: https://www.google.com/, Title: Google", 'role': 'user', 'name': 'browser_nav_executor'}, {'tool_calls': [{'id': '809191655', 'function': {'arguments': '{"entries":"[{\\"query_selector\\": \\"#search\\", \\"text\\": \\"random drawing of a robot\\"}]"}', 'name': 'enter_text'}, 'type': 'function'}], 'content': None, 'role': 'assistant'}, {'tool_call_id': '809191655', 'role': 'tool', 'content': 'Error: Function enter_text not found.'}], 'model': 'lmstudio-community/llama-3.2-3b-instruct', 'seed': 35124, 'stream': False, 'temperature': 0.1, 'tools': [{'type': 'function', 'function': {'description': 'Opens a specified URL in the web browser instance. Returns url of the new page if successful or appropriate error message if the page could not be opened.', 'name': 'openurl', 'parameters': {'type': 'object', 'properties': {'url': {'type': 'string', 'description': 'The URL to navigate to. Value must include the protocol (http:// or https://).'}, 'timeout': {'type': 'integer', 'default': 3, 'description': 'Additional wait time in seconds after initial load.'}}, 'required': ['url']}}}, {'type': 'function', 'function': {'description': 'Retrieves the DOM of the current web site based on the given content type.\n The DOM representation returned contains items ordered in the same way they appear on the page. Keep this in mindwhen executing user requests that contain ordinals or numbered items.\n text_only - returns plain text representing all the text in the web site. Use this for any information retrieval task. This will contain the most complete textual information.\n input_fields - returns a JSON string containing a list of objects representing text input html elements with mmid attribute. Use this strictly for interaction purposes with text input fields.\n all_fields - returns a JSON string containing a list of objects representing all interactive elements and their attributes with mmid attribute. Use this strictly to identify and interact with any type of elements on page.\n If information is not available in one content type, you must try another content_type.', 'name': 'get_dom_with_content_type', 'parameters': {'type': 'object', 'properties': {'content_type': {'type': 'string', 'description': "The type of content to extract: 'text_only': Extracts theinnerText of the highest element in the document and responds with text, or 'input_fields': Extracts the text input andbutton elements in the dom."}}, 'required': ['content_type']}}}, {'type': 'function', 'function': {'description': 'Executes a click action on the element matching the given mmid attribute value. It is best to use mmid attribute as the selector.\n Returns Success if click was successful or appropriate error message if the element could not be clicked.', 'name': 'click', 'parameters': {'type': 'object', 'properties': {'selector': {'type': 'string', 'description': 'The properly formed query selector string to identify the element for the click action (e.g. [mmid=\'114\']). When "mmid" attribute is present, use it for the query selector.'}, 'wait_before_execution': {'type': 'number', 'default': 0.0, 'description': 'Optional wait time in seconds before executing the click event logic.'}}, 'required': ['selector']}}}, {'type': 'function', 'function': {'description': 'Get the full URL of the current web page/site. If the user command seems to imply an action that would be suitable for an already open website in their browser, use this to fetch current website URL.', 'name': 'geturl', 'parameters': {'type': 'object', 'properties': {}, 'required': []}}}, {'type': 'function', 'function': {'description': 'Bulk enter text in multiple DOM fields. To be used when there are multiple fields to be filled on the same page.\n Enters text in the DOM elements matching the given mmid attribute value.\n The input will receive a listof objects containing the DOM query selector and the text to enter.\n This will only enter the text and not press enter or anything else.\n Returns each selector and the result for attempting to enter text.', 'name': 'bulk_enter_text','parameters': {'type': 'object', 'properties': {'entries': {'items': {'additionalProperties': {'type': 'string'}, 'type': 'object'}, 'type': 'array', 'description': "List of objects, each containing 'query_selector' and 'text'."}}, 'required': ['entries']}}}, {'type': 'function', 'function': {'description': 'Single enter given text in the DOM element matching the given mmid attribute value. This will only enter the text and not press enter or anything else.\n Returns Success if text entry was successful or appropriate error message if text could not be entered.', 'name': 'entertext', 'parameters': {'type': 'object', 'properties': {'entry': {'properties': {'query_selector': {'title': 'Query Selector', 'type':'string'}, 'text': {'title': 'Text', 'type': 'string'}}, 'required': ['query_selector', 'text'], 'title': 'EnterTextEntry', 'type': 'object', 'description': "An object containing 'query_selector' (DOM selector query using mmid attribute e.g. [mmid='114']) and 'text' (text to enter on the element)."}}, 'required': ['entry']}}}, {'type': 'function', 'function': {'description': 'Presses the given key on the current web page.\n This is useful for pressing the enter button to submit a search query, PageDown to scroll, ArrowDown to change selection in a focussed list etc.', 'name': 'press_key_combination', 'parameters': {'type': 'object', 'properties': {'key_combination': {'type': 'string', 'description': 'The keyto press, e.g., Enter, PageDown etc'}}, 'required': ['key_combination']}}}, {'type': 'function', 'function': {'description': 'Extracts text from a PDF file hosted at the given URL.', 'name': 'extract_text_from_pdf', 'parameters': {'type': 'object', 'properties': {'pdf_url': {'type': 'string', 'description': 'The URL of the PDF file to extract text from.'}},'required': ['pdf_url']}}}], 'top_p': 0.1}} [2024-12-31 12:34:27] DEBUG {_base_client.py:987} - Sending HTTP Request: POST http://localhost:1234/v1/chat/completions [2024-12-31 12:34:27] DEBUG {_base_client.py:1026} - HTTP Response: POST http://localhost:1234/v1/chat/completions "400Bad Request" Headers({'x-powered-by': 'Express', 'content-type': 'application/json; charset=utf-8', 'content-length': '88', 'etag': 'W/"58-eLfHUu5ebbkfY5/4H0XMysR40Kc"', 'date': 'Tue, 31 Dec 2024 12:34:27 GMT', 'connection': 'keep-alive', 'keep-alive': 'timeout=5'}) [2024-12-31 12:34:27] DEBUG {_base_client.py:1034} - request_id: None [2024-12-31 12:34:27] DEBUG {_base_client.py:1039} - Encountered httpx.HTTPStatusError Traceback (most recent call last): File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_base_client.py", line 1037, in _request response.raise_for_status() File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\httpx\_models.py", line 763, in raise_for_status raise HTTPStatusError(message, request=request, response=self) httpx.HTTPStatusError: Client error '400 Bad Request' for url 'http://localhost:1234/v1/chat/completions' For more information check: https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/400 [2024-12-31 12:34:27] DEBUG {_base_client.py:742} - Not retrying [2024-12-31 12:34:27] DEBUG {_base_client.py:1057} - Re-raising status error [autogen.oai.client: 12-31 12:34:27] {802} DEBUG - config 0 failed Traceback (most recent call last): File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\oai\client.py", line 777, in create response = client.create(params) ^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\oai\client.py", line 342, in create response = completions.create(**params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_utils\_utils.py", line 274, in wrapper return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\resources\chat\completions.py", line 815, in create return self._post( ^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_base_client.py", line 1277, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_base_client.py", line 954, in request return self._request( ^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_base_client.py", line 1058, in _request raise self._make_status_error_from_response(err.response) from None openai.BadRequestError: Error code: 400 - {'error': "Invalid 'content': 'content' field must be a string or an array ofobjects.."} [2024-12-31 12:34:27] DEBUG {client.py:802} - config 0 failed Traceback (most recent call last): File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\oai\client.py", line 777, in create response = client.create(params) ^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\oai\client.py", line 342, in create response = completions.create(**params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_utils\_utils.py", line 274, in wrapper return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\resources\chat\completions.py", line 815, in create return self._post( ^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_base_client.py", line 1277, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_base_client.py", line 954, in request return self._request( ^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_base_client.py", line 1058, in _request raise self._make_status_error_from_response(err.response) from None openai.BadRequestError: Error code: 400 - {'error': "Invalid 'content': 'content' field must be a string or an array ofobjects.."} [2024-12-31 12:34:27] ERROR {autogen_wrapper.py:382} - Unable to process command: "DL a random drawing of a robot". Error code: 400 - {'error': "Invalid 'content': 'content' field must be a string or an array of objects.."} Traceback (most recent call last): File "D:\Portable Apps\Agent-E-master\ae\core\autogen_wrapper.py", line 368, in process_command result=await self.agents_map["user"].a_initiate_chat( # type: ignore ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 1170, in a_initiate_chat msg2send = await self.a_generate_reply(messages=self.chat_messages[recipient], sender=recipient) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 2142, in a_generate_reply final, reply = reply_func(self, messages=messages, sender=sender, config=reply_func_tuple["config"]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 505, in wrapped_reply_func return reply_func_from_nested_chats(chat_queue, recipient, messages, sender, config) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 430, in _summary_from_nested_chats res = initiate_chats(chat_to_run) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\agentchat\chat.py", line 211, in initiate_chats chat_res = sender.initiate_chat(**chat_info) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 1107, in initiate_chat self.send(msg2send, recipient, request_reply=True, silent=silent) File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 748, in send recipient.receive(message, self, request_reply, silent) File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 914, in receive reply = self.generate_reply(messages=self.chat_messages[sender], sender=sender) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 2068, in generate_reply final, reply = reply_func(self, messages=messages, sender=sender, config=reply_func_tuple["config"]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 1436, in generate_oai_reply extracted_response = self._generate_oai_reply_from_client( ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\agentchat\conversable_agent.py", line 1455, in _generate_oai_reply_from_client response = llm_client.create( ^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\oai\client.py", line 777, in create response = client.create(params) ^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\autogen\oai\client.py", line 342, in create response = completions.create(**params) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_utils\_utils.py", line 274, in wrapper return func(*args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\resources\chat\completions.py", line 815, in create return self._post( ^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_base_client.py", line 1277, in post return cast(ResponseT, self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_base_client.py", line 954, in request return self._request( ^^^^^^^^^^^^^^ File "D:\Portable Apps\Agent-E-master\.venv\Lib\site-packages\openai\_base_client.py", line 1058, in _request raise self._make_status_error_from_response(err.response) from None openai.BadRequestError: Error code: 400 - {'error': "Invalid 'content': 'content' field must be a string or an array ofobjects.."} [2024-12-31 12:34:27] INFO {system_orchestrator.py:188} - Command "DL a random drawing of a robot" took: 22.05 seconds.