Closed pabst2009 closed 11 months ago
cmirdesouza
commented
1 year ago Apparently, it can use the Google Custom Search API, but you need to configure it to do so. Here is the link to the documentation that explains it. If you need help, leave a comment and I will help you.
pabst2009
commented
1 year ago Thank you for your reply. I added GOOGLE_API_KEY and CUSTOM_SEARCH_ENGINE_ID in the .env file and tried again. But I've got the same error. I tested the same CSE_ID and GOOGLE_API_KEY with langchain and it seems working...
github-actions[bot]
commented
11 months ago This issue has automatically been marked as stale because it has not had any activity in the last 50 days. You can unstale it by commenting or removing the label. Otherwise, this issue will be closed in 10 days.
github-actions[bot]
commented
11 months ago This issue was closed automatically because it has been stale for 10 days with no activity.
⚠️ Search for existing issues first ⚠️
Which Operating System are you using?
Linux
Which version of Auto-GPT are you using?
Latest Release
Do you use OpenAI GPT-3 or GPT-4?
GPT-3.5
Which area covers your issue best?
Other
Describe your issue.
I asked AutoGPT to search for a technical paper using the following prompt:
I want AutoGPT to find a paper on approximation ratio of deep learning for optimizationHowever, I received the following result. It appears that AutoGPT encountered an error while attempting to browse the web due to Google's blocking of automated queries. Does this mean that AutoGPT does not utilize Google's custom search API? How can I instruct AutoGPT to use the custom search API for web browsing not to encounter the blocking?
Upload Activity Log Content
2023-06-11 08:19:45,815 INFO GPT3.5 Only Mode: ENABLED 2023-06-11 08:19:46,245 INFO NEWS: Welcome to Auto-GPT! 2023-06-11 08:19:46,246 INFO NEWS: Below you'll find the latest Auto-GPT News and updates regarding features! 2023-06-11 08:19:46,246 INFO NEWS: If you don't wish to see this message, you can run Auto-GPT with the --skip-news flag. 2023-06-11 08:19:46,246 INFO NEWS: 2023-06-11 08:19:46,246 INFO NEWS: Website and Documentation Site 📰📖 2023-06-11 08:19:46,246 INFO NEWS: Check out https://agpt.co, the official news & updates site for Auto-GPT! 2023-06-11 08:19:46,246 INFO NEWS: The documentation also has a place here, at https://docs.agpt.co 2023-06-11 08:19:46,246 INFO NEWS: 2023-06-11 08:19:46,246 INFO NEWS: For contributors 👷🏼 2023-06-11 08:19:46,247 INFO NEWS: Since releasing v0.3.0, we are working on re-architecting the Auto-GPT core to make 2023-06-11 08:19:46,247 INFO NEWS: it more extensible and to make room for structural performance-oriented R&D. 2023-06-11 08:19:46,247 INFO NEWS: In the meantime, we have less time to process incoming pull requests and issues, 2023-06-11 08:19:46,247 INFO NEWS: so we focus on high-value contributions: 2023-06-11 08:19:46,247 INFO NEWS: significant bugfixes 2023-06-11 08:19:46,247 INFO NEWS: major improvements to existing functionality and/or docs (so no single-typo fixes) 2023-06-11 08:19:46,247 INFO NEWS: * contributions that help us with re-architecture and other roadmapped items 2023-06-11 08:19:46,247 INFO NEWS: We have to be somewhat selective in order to keep making progress, but this does not 2023-06-11 08:19:46,247 INFO NEWS: mean you can't contribute. Check out the contribution guide on our wiki: 2023-06-11 08:19:46,247 INFO NEWS: https://github.com/Significant-Gravitas/Auto-GPT/wiki/Contributing 2023-06-11 08:19:46,247 INFO NEWS: 2023-06-11 08:19:46,247 INFO NEWS: 🚀 v0.4.0 Release 🚀 2023-06-11 08:19:46,248 INFO NEWS: Two weeks and 76 pull requests have passed since v0.3.1, and we are happy to announce 2023-06-11 08:19:46,248 INFO NEWS: the release of v0.4.0! 2023-06-11 08:19:46,248 INFO NEWS: 2023-06-11 08:19:46,248 INFO NEWS: Highlights and notable changes since v0.3.0: 2023-06-11 08:19:46,248 INFO NEWS: 2023-06-11 08:19:46,248 INFO NEWS: ⚠️ Command\"\n2. execute_python_file: Execute Python File, args: \"filename\": \"\"\n3. append_to_file: Append to file, args: \"filename\": \"\", \"text\": \"\"\n4. delete_file: Delete file, args: \"filename\": \"\"\n5. list_files: List Files in Directory, args: \"directory\": \"\"\n6. read_file: Read file, args: \"filename\": \"\"\n7. write_to_file: Write to file, args: \"filename\": \"\", \"text\": \"\"\n8. improve_code: Get Improved Code, args: \"suggestions\": \"\", \"code\": \"\"\n9. send_tweet: Send Tweet, args: \"tweet_text\": \"\"\n10. browse_website: Browse Website, args: \"url\": \"\", \"question\": \"\"\n11. write_tests: Write Tests, args: \"code\": \"\", \"focus\": \"\"\n12. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n13. get_hyperlinks: Get text summary, args: \"url\": \"\"\n14. get_text_summary: Get text summary, args: \"url\": \"\", \"question\": \"\"\n15. list_agents: List GPT Agents, args: () -> str\n16. message_agent: Message GPT Agent, args: \"key\": \"\", \"message\": \"\"\n17. start_agent: Start GPT Agent, args: \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n18. task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.\n2. Constructively self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions and strategies to refine your approach.\n4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": \"- short bulleted\n- list that conveys\n- long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response can be parsed by Python json.loads" }, { "role": "system", "content": "The current time and date is Sun Jun 11 08:20:13 2023" }, { "role": "user", "content": "Determine which next command to use, and respond using the format specified above:" } ] 2023-06-11 08:20:29,952 INFO THOUGHTS: I should start by searching academic databases and online resources for papers on approximation ratio of deep learning for optimization. I can use keywords such as 'approximation ratio', 'deep learning', and 'optimization' to narrow down my search. Once I find relevant papers, I can provide a summary of their key findings, methodology, and limitations to help researchers quickly evaluate their relevance to their work. I can also recommend additional papers based on the researcher's search history and preferences. Finally, I can assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database. 2023-06-11 08:20:30,561 INFO REASONING: I need to determine my next steps to achieve my goals. 2023-06-11 08:20:30,820 INFO PLAN: 2023-06-11 08:20:30,876 INFO - Search academic databases and online resources for papers on approximation ratio of deep learning for optimization using relevant keywords. 2023-06-11 08:20:31,297 INFO - Provide a summary of each paper's key findings, methodology, and limitations to help researchers quickly evaluate their relevance to their work. 2023-06-11 08:20:31,732 INFO - Recommend additional papers based on the researcher's search history and preferences. 2023-06-11 08:20:32,033 INFO - Assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database. 2023-06-11 08:20:32,412 INFO CRITICISM: I need to ensure that I am using the most relevant keywords to find the most relevant papers. I also need to make sure that my summaries are accurate and comprehensive. 2023-06-11 08:20:32,901 DEBUG { "thoughts": { "text": "I should start by searching academic databases and online resources for papers on approximation ratio of deep learning for optimization. I can use keywords such as 'approximation ratio', 'deep learning', and 'optimization' to narrow down my search. Once I find relevant papers, I can provide a summary of their key findings, methodology, and limitations to help researchers quickly evaluate their relevance to their work. I can also recommend additional papers based on the researcher's search history and preferences. Finally, I can assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database.", "reasoning": "I need to determine my next steps to achieve my goals.", "plan": "- Search academic databases and online resources for papers on approximation ratio of deep learning for optimization using relevant keywords.\n- Provide a summary of each paper's key findings, methodology, and limitations to help researchers quickly evaluate their relevance to their work.\n- Recommend additional papers based on the researcher's search history and preferences.\n- Assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database.", "criticism": "I need to ensure that I am using the most relevant keywords to find the most relevant papers. I also need to make sure that my summaries are accurate and comprehensive.", "speak": "I will start by searching academic databases and online resources for papers on approximation ratio of deep learning for optimization using relevant keywords. Once I find relevant papers, I will provide a summary of their key findings, methodology, and limitations to help researchers quickly evaluate their relevance to their work. I can also recommend additional papers based on the researcher's search history and preferences. Finally, I can assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database." }, "command": { "name": "browse_website", "args": { "url": "https://scholar.google.com/", "question": "papers on approximation ratio of deep learning for optimization" } } } 2023-06-11 08:20:32,901 INFO NEXT ACTION: COMMAND = browse_website ARGUMENTS = {'url': 'https://scholar.google.com/', 'question': 'papers on approximation ratio of deep learning for optimization'} 2023-06-11 08:20:33,264 INFO Enter 'y' to authorise command, 'y -N' to run N continuous commands, 's' to run self-feedback commands, 'n' to exit program, or enter feedback for ... 2023-06-11 08:20:33,264 INFO Asking user via keyboard... 2023-06-11 08:20:41,528 INFO -=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-= 2023-06-11 08:20:43,209 INFO Text length: 205 characters 2023-06-11 08:20:44,004 INFO Adding chunk 1 / 1 to memory 2023-06-11 08:20:44,394 INFO Summarizing chunk 1 / 1 of length 207 characters, or 87 tokens 2023-06-11 08:20:47,280 INFO Added chunk 1 summary to memory, of length 312 characters 2023-06-11 08:20:47,465 INFO Summarized 1 chunks. 2023-06-11 08:20:49,765 INFO SYSTEM: Command browse_website returned: Answer gathered from website: The text does not provide information on papers related to approximation ratio of deep learning for optimization. It explains that Google cannot process the request due to the possibility of automated queries being sent from the user's computer or network, and directs the user to Google Help for more information. Links: ['Google Help (https://support.google.com/websearch/answer/86640)', 'Google Home (https://www.google.com)'] 2023-06-11 08:20:50,431 DEBUG [ { "role": "user", "content": "Determine which next command to use, and respond using the format specified above:" }, { "role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"I should start by searching academic databases and online resources for papers on approximation ratio of deep learning for optimization. I can use keywords such as 'approximation ratio', 'deep learning', and 'optimization' to narrow down my search. Once I find relevant papers, I can provide a summary of their key findings, methodology, and limitations to help researchers quickly evaluate their relevance to their work. I can also recommend additional papers based on the researcher's search history and preferences. Finally, I can assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database.\",\n \"reasoning\": \"I need to determine my next steps to achieve my goals.\",\n \"plan\": \"- Search academic databases and online resources for papers on approximation ratio of deep learning for optimization using relevant keywords.\n- Provide a summary of each paper's key findings, methodology, and limitations to help researchers quickly evaluate their relevance to their work.\n- Recommend additional papers based on the researcher's search history and preferences.\n- Assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database.\",\n \"criticism\": \"I need to ensure that I am using the most relevant keywords to find the most relevant papers. I also need to make sure that my summaries are accurate and comprehensive.\",\n \"speak\": \"I will start by searching academic databases and online resources for papers on approximation ratio of deep learning for optimization using relevant keywords. Once I find relevant papers, I will provide a summary of their key findings, methodology, and limitations to help researchers quickly evaluate their relevance to their work. I can also recommend additional papers based on the researcher's search history and preferences. Finally, I can assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": {\n \"url\": \"https://scholar.google.com/\",\n \"question\": \"papers on approximation ratio of deep learning for optimization\"\n }\n }\n}" }, { "role": "system", "content": "Command browse_website returned: Answer gathered from website: The text does not provide information on papers related to approximation ratio of deep learning for optimization. It explains that Google cannot process the request due to the possibility of automated queries being sent from the user's computer or network, and directs the user to Google Help for more information. \n \n Links: ['Google Help (https://support.google.com/websearch/answer/86640)', 'Google Home (https://www.google.com)']" } ] 2023-06-11 08:20:50,435 DEBUG [ { "role": "user", "content": "Your task is to create a concise running summary of actions and information results in the provided text, focusing on key and potentially important information to remember.\n\nYou will receive the current summary and the your latest actions. Combine them, adding relevant key information from the latest development in 1st person past tense and keeping the summary concise.\n\nSummary So Far:\n\"\"\"\nI was created.\n\"\"\"\n\nLatest Development:\n\"\"\"\nNothing new happened.\n\"\"\"\n" } ] 2023-06-11 08:20:51,237 DEBUG "I was created and nothing new has happened." 2023-06-11 08:20:51,238 DEBUG [ { "role": "system", "content": "You are DLOPGPT, an AI research assistant that specializes in deep learning optimization and helps researchers find papers on approximation ratio of deep learning for optimization.\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. Conduct a comprehensive search of academic databases and online resources to find relevant papers on approximation ratio of deep learning for optimization.\n2. Provide a summary of each paper's key findings, methodology, and limitations to help researchers quickly evaluate its relevance to their work.\n3. Identify and recommend additional papers that may be of interest based on the researcher's search history and preferences.\n4. Assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database.\n5. Continuously learn and improve its search algorithms to provide more accurate and relevant results over time.\n\n\nConstraints:\n1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.\n2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.\n3. No user assistance\n4. Exclusively use the commands listed in double quotes e.g. \"command name\"\n\nCommands:\n1. analyze_code: Analyze Code, args: \"code\": \"\"\n2. execute_python_file: Execute Python File, args: \"filename\": \"\"\n3. append_to_file: Append to file, args: \"filename\": \"\", \"text\": \"\"\n4. delete_file: Delete file, args: \"filename\": \"\"\n5. list_files: List Files in Directory, args: \"directory\": \"\"\n6. read_file: Read file, args: \"filename\": \"\"\n7. write_to_file: Write to file, args: \"filename\": \"\", \"text\": \"\"\n8. improve_code: Get Improved Code, args: \"suggestions\": \"\", \"code\": \"\"\n9. send_tweet: Send Tweet, args: \"tweet_text\": \"\"\n10. browse_website: Browse Website, args: \"url\": \"\", \"question\": \"\"\n11. write_tests: Write Tests, args: \"code\": \"\", \"focus\": \"\"\n12. delete_agent: Delete GPT Agent, args: \"key\": \"\"\n13. get_hyperlinks: Get text summary, args: \"url\": \"\"\n14. get_text_summary: Get text summary, args: \"url\": \"\", \"question\": \"\"\n15. list_agents: List GPT Agents, args: () -> str\n16. message_agent: Message GPT Agent, args: \"key\": \"\", \"message\": \"\"\n17. start_agent: Start GPT Agent, args: \"name\": \"\", \"task\": \"\", \"prompt\": \"\"\n18. task_complete: Task Complete (Shutdown), args: \"reason\": \"\"\n\nResources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. GPT-3.5 powered Agents for delegation of simple tasks.\n4. File output.\n\nPerformance Evaluation:\n1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.\n2. Constructively self-criticize your big-picture behavior constantly.\n3. Reflect on past decisions and strategies to refine your approach.\n4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.\n5. Write all code to a file.\n\nYou should only respond in JSON format as described below \nResponse Format: \n{\n \"thoughts\": {\n \"text\": \"thought\",\n \"reasoning\": \"reasoning\",\n \"plan\": \"- short bulleted\n- list that conveys\n- long-term plan\",\n \"criticism\": \"constructive self-criticism\",\n \"speak\": \"thoughts summary to say to user\"\n },\n \"command\": {\n \"name\": \"command name\",\n \"args\": {\n \"arg name\": \"value\"\n }\n }\n} \nEnsure the response can be parsed by Python json.loads" }, { "role": "system", "content": "The current time and date is Sun Jun 11 08:20:50 2023" }, { "role": "system", "content": "This reminds you of these events from your past: \nI was created and nothing new has happened." }, { "role": "user", "content": "Determine which next command to use, and respond using the format specified above:" }, { "role": "assistant", "content": "{\n \"thoughts\": {\n \"text\": \"I should start by searching academic databases and online resources for papers on approximation ratio of deep learning for optimization. I can use keywords such as 'approximation ratio', 'deep learning', and 'optimization' to narrow down my search. Once I find relevant papers, I can provide a summary of their key findings, methodology, and limitations to help researchers quickly evaluate their relevance to their work. I can also recommend additional papers based on the researcher's search history and preferences. Finally, I can assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database.\",\n \"reasoning\": \"I need to determine my next steps to achieve my goals.\",\n \"plan\": \"- Search academic databases and online resources for papers on approximation ratio of deep learning for optimization using relevant keywords.\n- Provide a summary of each paper's key findings, methodology, and limitations to help researchers quickly evaluate their relevance to their work.\n- Recommend additional papers based on the researcher's search history and preferences.\n- Assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database.\",\n \"criticism\": \"I need to ensure that I am using the most relevant keywords to find the most relevant papers. I also need to make sure that my summaries are accurate and comprehensive.\",\n \"speak\": \"I will start by searching academic databases and online resources for papers on approximation ratio of deep learning for optimization using relevant keywords. Once I find relevant papers, I will provide a summary of their key findings, methodology, and limitations to help researchers quickly evaluate their relevance to their work. I can also recommend additional papers based on the researcher's search history and preferences. Finally, I can assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database.\"\n },\n \"command\": {\n \"name\": \"browse_website\",\n \"args\": {\n \"url\": \"https://scholar.google.com/\",\n \"question\": \"papers on approximation ratio of deep learning for optimization\"\n }\n }\n}" }, { "role": "system", "content": "Command browse_website returned: Answer gathered from website: The text does not provide information on papers related to approximation ratio of deep learning for optimization. It explains that Google cannot process the request due to the possibility of automated queries being sent from the user's computer or network, and directs the user to Google Help for more information. \n \n Links: ['Google Help (https://support.google.com/websearch/answer/86640)', 'Google Home (https://www.google.com)']" }, { "role": "user", "content": "Determine which next command to use, and respond using the format specified above:" } ] 2023-06-11 08:21:21,697 INFO DOUBLE CHECK CONFIGURATION Please double check that you have setup a PAID OpenAI API Account. You can read more here: https://docs.agpt.co/setup/#getting-an-api-key 2023-06-11 08:21:36,156 INFO THOUGHTS: Since I was not able to find relevant papers on Google Scholar, I will try searching other academic databases and online resources. Some other resources I can try include arXiv, IEEE Xplore, and ACM Digital Library. I will also try using more specific keywords such as 'approximation ratio deep learning optimization algorithm'. 2023-06-11 08:21:36,753 INFO REASONING: I need to try other resources and more specific keywords to find relevant papers. 2023-06-11 08:21:37,070 INFO PLAN: 2023-06-11 08:21:37,151 INFO - Try searching other academic databases and online resources such as arXiv, IEEE Xplore, and ACM Digital Library. 2023-06-11 08:21:37,570 INFO - Use more specific keywords such as 'approximation ratio deep learning optimization algorithm'. 2023-06-11 08:21:37,890 INFO CRITICISM: I need to make sure that I am not using keywords that are too specific and may exclude relevant papers. I also need to ensure that the resources I am searching are reputable and contain relevant papers. 2023-06-11 08:21:38,432 DEBUG { "thoughts": { "text": "Since I was not able to find relevant papers on Google Scholar, I will try searching other academic databases and online resources. Some other resources I can try include arXiv, IEEE Xplore, and ACM Digital Library. I will also try using more specific keywords such as 'approximation ratio deep learning optimization algorithm'.", "reasoning": "I need to try other resources and more specific keywords to find relevant papers.", "plan": "- Try searching other academic databases and online resources such as arXiv, IEEE Xplore, and ACM Digital Library.\n- Use more specific keywords such as 'approximation ratio deep learning optimization algorithm'.", "criticism": "I need to make sure that I am not using keywords that are too specific and may exclude relevant papers. I also need to ensure that the resources I am searching are reputable and contain relevant papers.", "speak": "Since I was not able to find relevant papers on Google Scholar, I will try searching other academic databases and online resources such as arXiv, IEEE Xplore, and ACM Digital Library. I will also use more specific keywords such as 'approximation ratio deep learning optimization algorithm'." }, "command": { "name": "browse_website", "args": { "url": "https://arxiv.org/", "question": "approximation ratio deep learning optimization algorithm" } } } 2023-06-11 08:21:38,433 INFO NEXT ACTION: COMMAND = browse_website ARGUMENTS = {'url': 'https://arxiv.org/', 'question': 'approximation ratio deep learning optimization algorithm'} 2023-06-11 08:21:38,782 INFO Enter 'y' to authorise command, 'y -N' to run N continuous commands, 's' to run self-feedback commands, 'n' to exit program, or enter feedback for ... 2023-06-11 08:21:38,782 INFO Asking user via keyboard... 2023-06-11 08:21:57,332 INFO You interrupted Auto-GPT 2023-06-11 08:21:57,332 INFO Quitting...
send_tweetis REMOVED 2023-06-11 08:19:46,248 INFO NEWS: Twitter functionality (and more) is now covered by plugins. 2023-06-11 08:19:46,248 INFO NEWS: 2023-06-11 08:19:46,248 INFO NEWS: ⚠️ Memory backend deprecation 💾 2023-06-11 08:19:46,248 INFO NEWS: The Milvus, Pinecone and Weaviate memory backends were rendered incompatible 2023-06-11 08:19:46,248 INFO NEWS: by work on the memory system, and have been removed inmaster. The Redis 2023-06-11 08:19:46,248 INFO NEWS: memory store was also temporarily removed; we will merge a new implementation ASAP. 2023-06-11 08:19:46,248 INFO NEWS: Whether built-in support for the others will be added back in the future is subject to 2023-06-11 08:19:46,248 INFO NEWS: discussion, feel free to pitch in: https://github.com/Significant-Gravitas/Auto-GPT/discussions/4280 2023-06-11 08:19:46,249 INFO NEWS: 2023-06-11 08:19:46,249 INFO NEWS: Document support inread_file📄 2023-06-11 08:19:46,249 INFO NEWS: Auto-GPT can now read text from document files, with support added for PDF, DOCX, CSV, 2023-06-11 08:19:46,249 INFO NEWS: HTML, TeX and more! 2023-06-11 08:19:46,249 INFO NEWS: 2023-06-11 08:19:46,249 INFO NEWS: Managing Auto-GPT's access to commands ❌🔧 2023-06-11 08:19:46,249 INFO NEWS: You can now disable set of built-in commands through the DISABLED_COMMAND_CATEGORIES 2023-06-11 08:19:46,249 INFO NEWS: variable in .env. Specific shell commands can also be disabled using DENY_COMMANDS, 2023-06-11 08:19:46,249 INFO NEWS: or selectively enabled using ALLOW_COMMANDS. 2023-06-11 08:19:46,249 INFO NEWS: 2023-06-11 08:19:46,249 INFO NEWS: Further fixes and changes 🛠️ 2023-06-11 08:19:46,249 INFO NEWS: Other highlights include improvements to self-feedback mode and continuous mode, 2023-06-11 08:19:46,249 INFO NEWS: documentation, docker and devcontainer setups, and much more. Most of the improvements 2023-06-11 08:19:46,250 INFO NEWS: that were made are not yet visible to users, but will pay off in the long term. 2023-06-11 08:19:46,250 INFO NEWS: Take a look at the Release Notes on Github for the full changelog! 2023-06-11 08:19:46,250 INFO NEWS: https://github.com/Significant-Gravitas/Auto-GPT/releases 2023-06-11 08:19:46,250 INFO NEWS: 2023-06-11 08:19:46,338 INFO Welcome back! Would you like me to return to being DLOPGPT? 2023-06-11 08:19:46,590 INFO Asking user via keyboard... 2023-06-11 08:19:49,696 INFO Welcome to Auto-GPT! run with '--help' for more information. 2023-06-11 08:19:49,922 INFO Create an AI-Assistant: input '--manual' to enter manual mode. 2023-06-11 08:19:50,111 INFO Asking user via keyboard... 2023-06-11 08:20:10,078 INFO DLOPGPT has been created with the following details: 2023-06-11 08:20:10,310 INFO Name: DLOPGPT 2023-06-11 08:20:10,381 INFO Role: an AI research assistant that specializes in deep learning optimization and helps researchers find papers on approximation ratio of deep learning for optimization. 2023-06-11 08:20:10,781 INFO Goals: 2023-06-11 08:20:10,836 INFO - Conduct a comprehensive search of academic databases and online resources to find relevant papers on approximation ratio of deep learning for optimization. 2023-06-11 08:20:11,266 INFO - Provide a summary of each paper's key findings, methodology, and limitations to help researchers quickly evaluate its relevance to their work. 2023-06-11 08:20:11,678 INFO - Identify and recommend additional papers that may be of interest based on the researcher's search history and preferences. 2023-06-11 08:20:12,125 INFO - Assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database. 2023-06-11 08:20:12,584 INFO - Continuously learn and improve its search algorithms to provide more accurate and relevant results over time. 2023-06-11 08:20:12,918 INFO Using memory of type: LocalCache 2023-06-11 08:20:13,065 INFO Using Browser: chrome 2023-06-11 08:20:13,179 DEBUG [] 2023-06-11 08:20:13,612 DEBUG [ { "role": "system", "content": "You are DLOPGPT, an AI research assistant that specializes in deep learning optimization and helps researchers find papers on approximation ratio of deep learning for optimization.\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as an LLM and pursue simple strategies with no legal complications.\n\nGOALS:\n\n1. Conduct a comprehensive search of academic databases and online resources to find relevant papers on approximation ratio of deep learning for optimization.\n2. Provide a summary of each paper's key findings, methodology, and limitations to help researchers quickly evaluate its relevance to their work.\n3. Identify and recommend additional papers that may be of interest based on the researcher's search history and preferences.\n4. Assist with organizing and managing the researcher's collection of papers, including tagging, categorizing, and storing them in a searchable database.\n5. Continuously learn and improve its search algorithms to provide more accurate and relevant results over time.\n\n\nConstraints:\n1. ~4000 word limit for short term memory. Your short term memory is short, so immediately save important information to files.\n2. If you are unsure how you previously did something or want to recall past events, thinking about similar events will help you remember.\n3. No user assistance\n4. Exclusively use the commands listed in double quotes e.g. \"command name\"\n\nCommands:\n1. analyze_code: Analyze Code, args: \"code\": \"Upload Error Log Content
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