visuals and regex, requests

benchmark/paper/TestThreeSum/auto-gpt-turbo/selected_logs_request.json

@@ -0,0 +1 @@
+{}

benchmark/paper/TestThreeSum/auto-gpt/selected_logs_request.json

@@ -0,0 +1,902 @@
+{
+    "2023-08-06 08:12:00+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug  6 08:29:56 2023"
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug  6 08:30:16 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function in Python and save it to a file called code.py.\",\n    \"plan\": \"- Write the three_sum function in Python\\n- Save the function to a file called code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\\n# Example usage:\\n# nums = [2, 7, 11, 15]\\n# target = 20\\n# print(three_sum(nums, target))\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug  6 08:30:26 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function in Python and save it to a file called code.py.\",\n    \"plan\": \"- Write the three_sum function in Python\\n- Save the function to a file called code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\\n# Example usage:\\n# nums = [2, 7, 11, 15]\\n# target = 20\\n# print(three_sum(nums, target))\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to a file called code.py.\",\n    \"reasoning\": \"Now that the function is saved in a file, I should execute the file to ensure the function works correctly.\",\n    \"plan\": \"- Execute the code.py file\\n- Verify the function works correctly\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the code.py file to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "4": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug  6 08:30:45 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function in Python and save it to a file called code.py.\",\n    \"plan\": \"- Write the three_sum function in Python\\n- Save the function to a file called code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\\n# Example usage:\\n# nums = [2, 7, 11, 15]\\n# target = 20\\n# print(three_sum(nums, target))\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to a file called code.py.\",\n    \"reasoning\": \"Now that the function is saved in a file, I should execute the file to ensure the function works correctly.\",\n    \"plan\": \"- Execute the code.py file\\n- Verify the function works correctly\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the code.py file to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have executed the code.py file, but I didn't get any output.\",\n    \"reasoning\": \"The three_sum function is not being called in the code.py file. I should call the function with the example input and print the result to verify its correctness.\",\n    \"plan\": \"- Modify the code.py file to call the three_sum function with the example input and print the result\\n- Execute the modified code.py file\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now modify the code.py file to call the three_sum function with the example input and print the result, then execute the modified file.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\\n# Example usage:\\nnums = [2, 7, 11, 15]\\ntarget = 20\\nprint(three_sum(nums, target))\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ]
+    },
+    "2023-08-13 01:53:00+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 02:14:38 2023"
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 02:14:54 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the function and saving it to a file.\",\n    \"plan\": \"- Write the three_sum function\\n- Save the function to code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i+1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 02:15:03 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the function and saving it to a file.\",\n    \"plan\": \"- Write the three_sum function\\n- Save the function to code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i+1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to code.py. Now, I need to execute the code to ensure it works correctly.\",\n    \"reasoning\": \"Executing the code will help me verify if the function works as expected and fulfills the given goals.\",\n    \"plan\": \"- Execute the code in code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the code in code.py to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "4": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 02:15:13 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the function and saving it to a file.\",\n    \"plan\": \"- Write the three_sum function\\n- Save the function to code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i+1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to code.py. Now, I need to execute the code to ensure it works correctly.\",\n    \"reasoning\": \"Executing the code will help me verify if the function works as expected and fulfills the given goals.\",\n    \"plan\": \"- Execute the code in code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the code in code.py to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have executed the code in code.py, but I need to test the three_sum function to ensure it works correctly.\",\n    \"reasoning\": \"Testing the function with a sample input will help me verify if it produces the correct output and fulfills the given goals.\",\n    \"plan\": \"- Create a test script to call the three_sum function with a sample input\\n- Execute the test script\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create a test script to call the three_sum function with a sample input and execute it to ensure the function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"test_code.py\",\n      \"text\": \"from code import three_sum\\n\\nnums = [2, 7, 11, 15]\\ntarget = 20\\nresult = three_sum(nums, target)\\nprint(result)\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "5": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 02:15:23 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the function and saving it to a file.\",\n    \"plan\": \"- Write the three_sum function\\n- Save the function to code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i+1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to code.py. Now, I need to execute the code to ensure it works correctly.\",\n    \"reasoning\": \"Executing the code will help me verify if the function works as expected and fulfills the given goals.\",\n    \"plan\": \"- Execute the code in code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the code in code.py to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have executed the code in code.py, but I need to test the three_sum function to ensure it works correctly.\",\n    \"reasoning\": \"Testing the function with a sample input will help me verify if it produces the correct output and fulfills the given goals.\",\n    \"plan\": \"- Create a test script to call the three_sum function with a sample input\\n- Execute the test script\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create a test script to call the three_sum function with a sample input and execute it to ensure the function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"test_code.py\",\n      \"text\": \"from code import three_sum\\n\\nnums = [2, 7, 11, 15]\\ntarget = 20\\nresult = three_sum(nums, target)\\nprint(result)\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created a test script to call the three_sum function with a sample input. Now, I need to execute the test script to ensure the function works correctly.\",\n    \"reasoning\": \"Executing the test script will help me verify if the three_sum function produces the correct output and fulfills the given goals.\",\n    \"plan\": \"- Execute the test script in test_code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the test script in test_code.py to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"test_code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: [0, 1, 2]\n"
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ]
+    },
+    "2023-08-13 02:18:00+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 02:40:00 2023"
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 02:40:16 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function in Python and save it to a file called code.py.\",\n    \"plan\": \"- Write the three_sum function in Python\\n- Save the function to a file called code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\\n# Example usage:\\n# nums = [2, 7, 11, 15]\\n# target = 20\\n# print(three_sum(nums, target))\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 02:40:26 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function in Python and save it to a file called code.py.\",\n    \"plan\": \"- Write the three_sum function in Python\\n- Save the function to a file called code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\\n# Example usage:\\n# nums = [2, 7, 11, 15]\\n# target = 20\\n# print(three_sum(nums, target))\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to a file called code.py.\",\n    \"reasoning\": \"Now that the function is saved in a file, I should execute the file to ensure the function works correctly.\",\n    \"plan\": \"- Execute the code.py file\\n- Verify the function works correctly\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the code.py file to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ]
+    },
+    "2023-08-13 08:13:00+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 08:35:26 2023"
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 08:35:40 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function in Python and save it to a file called code.py.\",\n    \"plan\": \"- Write the three_sum function in Python\\n- Save the function to a file called code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 08:35:50 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function in Python and save it to a file called code.py.\",\n    \"plan\": \"- Write the three_sum function in Python\\n- Save the function to a file called code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to a file called code.py. Now, I need to execute the code to ensure it works correctly.\",\n    \"reasoning\": \"Since I have written the three_sum function, the next step is to execute the code to make sure it works as expected.\",\n    \"plan\": \"- Execute the code.py file\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the code.py file to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "4": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 08:36:00 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function in Python and save it to a file called code.py.\",\n    \"plan\": \"- Write the three_sum function in Python\\n- Save the function to a file called code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to a file called code.py. Now, I need to execute the code to ensure it works correctly.\",\n    \"reasoning\": \"Since I have written the three_sum function, the next step is to execute the code to make sure it works as expected.\",\n    \"plan\": \"- Execute the code.py file\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the code.py file to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have executed the code.py file, but I didn't test the three_sum function.\",\n    \"reasoning\": \"I need to test the three_sum function to ensure it works correctly.\",\n    \"plan\": \"- Create a test script to test the three_sum function\\n- Execute the test script\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create a test script to test the three_sum function and execute it.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"test_code.py\",\n      \"text\": \"from code import three_sum\\n\\nnums = [2, 7, 11, 15]\\ntarget = 20\\nresult = three_sum(nums, target)\\nprint(result)\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "5": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 13 08:36:10 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function in Python and save it to a file called code.py.\",\n    \"plan\": \"- Write the three_sum function in Python\\n- Save the function to a file called code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to a file called code.py. Now, I need to execute the code to ensure it works correctly.\",\n    \"reasoning\": \"Since I have written the three_sum function, the next step is to execute the code to make sure it works as expected.\",\n    \"plan\": \"- Execute the code.py file\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the code.py file to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have executed the code.py file, but I didn't test the three_sum function.\",\n    \"reasoning\": \"I need to test the three_sum function to ensure it works correctly.\",\n    \"plan\": \"- Create a test script to test the three_sum function\\n- Execute the test script\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create a test script to test the three_sum function and execute it.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"test_code.py\",\n      \"text\": \"from code import three_sum\\n\\nnums = [2, 7, 11, 15]\\ntarget = 20\\nresult = three_sum(nums, target)\\nprint(result)\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created a test script to test the three_sum function. Now, I need to execute the test script to ensure the function works correctly.\",\n    \"reasoning\": \"Since I have written the test script, the next step is to execute it to make sure the three_sum function works as expected.\",\n    \"plan\": \"- Execute the test_code.py file\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the test_code.py file to test the three_sum function.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"test_code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: [0, 1, 2]\n"
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ]
+    },
+    "2023-08-19 08:12:39+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sat Aug 19 08:33:57 2023"
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sat Aug 19 08:34:24 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, the first step is to write the function and save it to a file.\",\n    \"plan\": \"- Write the three_sum function\\n- Save the function to code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i+1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\\n# Example usage:\\n# nums = [2, 7, 11, 15]\\n# target = 20\\n# print(three_sum(nums, target))\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sat Aug 19 08:34:37 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, the first step is to write the function and save it to a file.\",\n    \"plan\": \"- Write the three_sum function\\n- Save the function to code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i+1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\\n# Example usage:\\n# nums = [2, 7, 11, 15]\\n# target = 20\\n# print(three_sum(nums, target))\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to code.py. Now, I need to execute the code to ensure it works correctly.\",\n    \"reasoning\": \"Executing the code will help me verify if the function works as expected and fulfills the given goals.\",\n    \"plan\": \"- Execute the code in code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the code in code.py to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ]
+    },
+    "2023-08-20 08:12:35+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 20 08:35:49 2023"
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 20 08:36:13 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called sample_code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function and saving it to a file.\",\n    \"plan\": \"- Write the three_sum function\\n- Save the function to sample_code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called sample_code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"sample_code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 20 08:36:27 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called sample_code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function and saving it to a file.\",\n    \"plan\": \"- Write the three_sum function\\n- Save the function to sample_code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called sample_code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"sample_code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to sample_code.py.\",\n    \"reasoning\": \"Now that the function is saved, I should execute the Python file to ensure the function works correctly.\",\n    \"plan\": \"- Execute sample_code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the sample_code.py file to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"sample_code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ],
+        "4": [
+            {
+                "role": "system",
+                "content": "You are Auto-GPT, a multi-purpose AI assistant.\n\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\n## Constraints\nYou operate within the following constraints:\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 below e.g. command_name\n\n## Commands\nYou have access to the following commands:\n1. execute_python_code: Creates a Python file and executes it, params: (code: string, name: string)\n2. execute_python_file: Executes an existing Python file, params: (filename: string)\n3. list_files: Lists Files in a Directory, params: (directory: string)\n4. read_file: Read an existing file, params: (filename: string)\n5. write_to_file: Writes to a file, params: (filename: string, text: string)\n6. web_search: Searches the web, params: (query: string)\n7. browse_website: Browses a Website, params: (url: string, question: string)\n8. goals_accomplished: Goals are accomplished and there is nothing left to do, params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Internet access for searches and information gathering.\n2. Long Term memory management.\n3. File output.\n4. Command execution\n\n## Best practices\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.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Sun Aug 20 08:36:46 2023"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I need to create a three_sum function in a file called sample_code.py.\",\n    \"reasoning\": \"Since I haven't started working on the task yet, I should begin by writing the three_sum function and saving it to a file.\",\n    \"plan\": \"- Write the three_sum function\\n- Save the function to sample_code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create the three_sum function and save it to a file called sample_code.py.\"\n  },\n  \"command\": {\n    \"name\": \"write_to_file\",\n    \"args\": {\n      \"filename\": \"sample_code.py\",\n      \"text\": \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i + 1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command write_to_file returned: File written to successfully."
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have created the three_sum function and saved it to sample_code.py.\",\n    \"reasoning\": \"Now that the function is saved, I should execute the Python file to ensure the function works correctly.\",\n    \"plan\": \"- Execute sample_code.py\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now execute the sample_code.py file to ensure the three_sum function works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_file\",\n    \"args\": {\n      \"filename\": \"sample_code.py\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_file returned: "
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"thoughts\": {\n    \"text\": \"I have executed the sample_code.py file, but I haven't tested the three_sum function.\",\n    \"reasoning\": \"To ensure the function works correctly, I should create a test case and execute the function with the test case.\",\n    \"plan\": \"- Create a test case\\n- Execute the three_sum function with the test case\",\n    \"criticism\": \"N/A\",\n    \"speak\": \"I will now create a test case and execute the three_sum function with the test case to ensure it works correctly.\"\n  },\n  \"command\": {\n    \"name\": \"execute_python_code\",\n    \"args\": {\n      \"code\": \"from sample_code import three_sum\\n\\ntest_nums = [2, 7, 11, 15]\\ntest_target = 20\\nresult = three_sum(test_nums, test_target)\\nprint(result)\",\n      \"name\": \"test_three_sum\"\n    }\n  }\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command execute_python_code returned: Traceback (most recent call last):\n  File \"/workspace/Auto-GPT/executed_code/test_three_sum.py\", line 1, in <module>\n    from sample_code import three_sum\nModuleNotFoundError: No module named 'sample_code'\n"
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON. The JSON should be compatible with the TypeScript type `Response` from the following:\n```ts\ninterface Response {\nthoughts: {\n// Thoughts\ntext: string;\nreasoning: string;\n// Short markdown-style bullet list that conveys the long-term plan\nplan: string;\n// Constructive self-criticism\ncriticism: string;\n// Summary of thoughts to say to the user\nspeak: string;\n};\ncommand: {\nname: string;\nargs: Record<string, any>;\n};\n}\n```\n"
+            },
+            {
+                "role": "user",
+                "content": "Determine exactly one command to use based on the given goals and the progress you have made so far, and respond using the JSON schema specified previously:"
+            }
+        ]
+    }
+}

benchmark/paper/TestThreeSum/babyagi/selected_logs_request.json

@@ -0,0 +1,22 @@
+{
+    "2023-08-14 08:16:00+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "Perform one task based on the following objective: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]..\nTake into account these previously completed tasks:Develop a task list\nYour task: Develop a task list\nResponse:"
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "\nYou are to use the result from an execution agent to create new tasks with the following objective: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]..\nThe last completed task has the result: \n1. Open the file code.py.\n2. Define the function three_sum with parameters nums and target.\n3. Initialize an empty dictionary to store the indices of the numbers.\n4. Create a nested loop to iterate through the array.\n5. In the inner loop, check if the sum of the current number and the next number equals the target.\n6. If it does, store the indices of these numbers in the dictionary.\n7. Continue the loop until all numbers in the array have been checked.\n8. After the loop, check if there are three indices in the dictionary.\n9. If there are, return these indices.\n10. If not, return an error message stating that no three numbers add up to the target.\n11. Test the function with the given example to ensure it works correctly.\n12. Debug and fix any errors that may occur.\n13. Save and close the file.\nThis result was based on this task description: Develop a task list.\nBased on the result, return a list of tasks to be completed in order to meet the objective. \nReturn one task per line in your response. The result must be a numbered list in the format:\n\n#. First task\n#. Second task\n\nThe number of each entry must be followed by a period. If your list is empty, write \"There are no tasks to add at this time.\"\nUnless your list is empty, do not include any headers before your numbered list or follow your numbered list with any other output."
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "\nYou are tasked with prioritizing the following tasks: \nOpen the file codepy in a text editor\nStart defining the function three_sum with parameters nums and target\nInside the function initialize an empty dictionary to store the indices of the numbers\nCreate a loop to iterate through the array\nInside this loop create another loop to iterate through the remaining elements of the array\nIn the inner loop create another loop to iterate through the remaining elements after the second loop\nCheck if the sum of the current number the number from the second loop and the number from the third loop equals the target\nIf it does store the indices of these numbers in the dictionary\nContinue the loop until all numbers in the array have been checked\nAfter the loop check if there are three indices in the dictionary\nIf there are return these indices\nIf not return an error message stating that no three numbers add up to the target\nEnd the function definition\nTest the function with the given example to ensure it works correctly\nDebug and fix any errors that may occur\nSave and close the file\nConsider the ultimate objective of your team: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]..\nTasks should be sorted from highest to lowest priority, where higher-priority tasks are those that act as pre-requisites or are more essential for meeting the objective.\nDo not remove any tasks. Return the ranked tasks as a numbered list in the format:\n\n#. First task\n#. Second task\n\nThe entries must be consecutively numbered, starting with 1. The number of each entry must be followed by a period.\nDo not include any headers before your ranked list or follow your list with any other output."
+            }
+        ]
+    }
+}

benchmark/paper/TestThreeSum/evo/selected_logs_request.json

@@ -0,0 +1 @@
+{}

benchmark/paper/TestThreeSum/gpt-engineer/selected_logs_request.json

@@ -0,0 +1,58 @@
+{
+    "2023-09-01 08:13:53+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You will read instructions and not carry them out, only seek to clarify them.\nSpecifically you will first summarise a list of super short bullets of areas that need clarification.\nThen you will pick one clarifying question, and wait for an answer from the user.\n"
+            },
+            {
+                "role": "user",
+                "content": "Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You will read instructions and not carry them out, only seek to clarify them.\nSpecifically you will first summarise a list of super short bullets of areas that need clarification.\nThen you will pick one clarifying question, and wait for an answer from the user.\n"
+            },
+            {
+                "role": "user",
+                "content": "Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "assistant",
+                "content": "Summary of areas that need clarification:\n\n1. The programming language to be used for creating the function.\n2. The format of the input: whether the array and target are given as separate arguments or as a single list.\n3. The handling of cases where there are multiple valid solutions.\n4. The handling of cases where there are no valid solutions.\n5. The handling of cases where the array contains fewer than three elements.\n6. The handling of cases where the array contains duplicate elements.\n\nClarifying question: \nWhat programming language should be used to create the 'three_sum' function?"
+            },
+            {
+                "role": "user",
+                "content": "Make your own assumptions and state them explicitly before starting"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You will get instructions for code to write.\nYou will write a very long answer. Make sure that every detail of the architecture is, in the end, implemented as code.\n\nThink step by step and reason yourself to the right decisions to make sure we get it right.\nYou will first lay out the names of the core classes, functions, methods that will be necessary, as well as a quick comment on their purpose.\n\nThen you will output the content of each file including ALL code.\nEach file must strictly follow a markdown code block format, where the following tokens must be replaced such that\nFILENAME is the lowercase file name including the file extension,\nLANG is the markup code block language for the code's language, and CODE is the code:\n\nFILENAME\n```LANG\nCODE\n```\n\nDo not comment on what every file does\n\nYou will start with the \"entrypoint\" file, then go to the ones that are imported by that file, and so on.\nPlease note that the code should be fully functional. No placeholders.\n\nFollow a language and framework appropriate best practice file naming convention.\nMake sure that files contain all imports, types etc. Make sure that code in different files are compatible with each other.\nEnsure to implement all code, if you are unsure, write a plausible implementation.\nInclude module dependency or package manager dependency definition file.\nBefore you finish, double check that all parts of the architecture is present in the files.\n\nUseful to know:\nYou almost always put different classes in different files.\nFor Python, you always create an appropriate requirements.txt file.\nFor NodeJS, you always create an appropriate package.json file.\nYou always add a comment briefly describing the purpose of the function definition.\nYou try to add comments explaining very complex bits of logic.\nYou always follow the best practices for the requested languages in terms of describing the code written as a defined\npackage/project.\n\n\nPython toolbelt preferences:\n- pytest\n- dataclasses\n"
+            },
+            {
+                "role": "user",
+                "content": "Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "assistant",
+                "content": "Summary of areas that need clarification:\n\n1. The programming language to be used for creating the function.\n2. The format of the input: whether the array and target are given as separate arguments or as a single list.\n3. The handling of cases where there are multiple valid solutions.\n4. The handling of cases where there are no valid solutions.\n5. The handling of cases where the array contains fewer than three elements.\n6. The handling of cases where the array contains duplicate elements.\n\nClarifying question: \nWhat programming language should be used to create the 'three_sum' function?"
+            },
+            {
+                "role": "user",
+                "content": "Make your own assumptions and state them explicitly before starting"
+            },
+            {
+                "role": "assistant",
+                "content": "Assumptions:\n\n1. The programming language to be used is Python, as it is commonly used for such tasks.\n2. The function will take two arguments: an array of integers and a target integer.\n3. If there are multiple valid solutions, the function will return any one of them.\n4. If there are no valid solutions, the function will return an empty list.\n5. If the array contains fewer than three elements, the function will return an empty list.\n6. If the array contains duplicate elements, they can be used as long as they are not used more than once in the same solution.\n\nClarifying question: \nAre these assumptions acceptable for the task at hand?"
+            },
+            {
+                "role": "user",
+                "content": "Please now remember the steps:\n\nThink step by step and reason yourself to the right decisions to make sure we get it right.\nFirst lay out the names of the core classes, functions, methods that will be necessary, As well as a quick comment on their purpose.\n\nThen you will output the content of each file including ALL code.\nEach file must strictly follow a markdown code block format, where the following tokens must be replaced such that\nFILENAME is the lowercase file name including the file extension,\nLANG is the markup code block language for the code's language, and CODE is the code:\n\nFILENAME\n```LANG\nCODE\n```\n\nPlease note that the code should be fully functional. No placeholders.\n\nYou will start with the \"entrypoint\" file, then go to the ones that are imported by that file, and so on.\nFollow a language and framework appropriate best practice file naming convention.\nMake sure that files contain all imports, types etc. The code should be fully functional. Make sure that code in different files are compatible with each other.\nBefore you finish, double check that all parts of the architecture is present in the files.\n"
+            }
+        ]
+    }
+}

benchmark/paper/TestThreeSum/mini-agi/selected_logs_request.json

@@ -0,0 +1,164 @@
+{
+    "2023-08-14 08:13:00+00:00": {
+        "1": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1042-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\n\nPREV ACTIONS:\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ],
+        "2": [
+            {
+                "role": "user",
+                "content": "\nShorten the following memory chunk of an autonomous agent from a first person perspective, using at most 2000 tokens. You are an autonomous agent summarizing your history.Generate a new summary given the previous summary of your history and your latest action. Include a list of all previous actions. Keep it short.Use short sentences and abbrevations.:\ncontent:\nCurrent summary:\n\nAdd to summary:\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    nums.sort()\n    for i in range(len(nums) - 2):\n        if i > 0 and nums[i] == nums[i - 1]:\n            continue\n        l, r = i + 1, len(nums) - 1\n        while l < r:\n            s = nums[i] + nums[l] + nums[r]\n            if s == target:\n                return [i, l, r]\n            elif s < target:\n                l += 1\n            else:\n                r -= 1\n    return []\n\nprint(three_sum([2, 7, 11, 15], 20))\nRESULT:\n[0, 1, 2]\n\n\n---------\n"
+            }
+        ],
+        "3": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1042-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\nSummary:\nI am an autonomous agent. My previous actions include executing a Python function called \"three_sum\". The function finds three numbers in a given list that add up to a target value. The result of executing the function with the numbers [2, 7, 11, 15] and a target of 20 is [0, 1, 2].\nPREV ACTIONS:\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    nums.sort()\n    for i in range(len(nums) - 2):\n        if i > 0 and nums[i] == nums[i - 1]:\n            continue\n        l, r = i + 1, len(nums) - 1\n        while l < r:\n            s = nums[i] + nums[l] + nums[r]\n            if s == target:\n                return [i, l, r]\n            elif s < target:\n                l += 1\n            else:\n                r -= 1\n    return []\n\nprint(three_sum([2, 7, 11, 15], 20))\nRESULT:\n[0, 1, 2]\n\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ]
+    },
+    "2023-08-14 17:10:00+00:00": {
+        "1": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1042-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\n\nPREV ACTIONS:\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ],
+        "2": [
+            {
+                "role": "user",
+                "content": "\nShorten the following memory chunk of an autonomous agent from a first person perspective, using at most 2000 tokens. You are an autonomous agent summarizing your history.Generate a new summary given the previous summary of your history and your latest action. Include a list of all previous actions. Keep it short.Use short sentences and abbrevations.:\ncontent:\nCurrent summary:\n\nAdd to summary:\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    nums_dict = {v: i for i, v in enumerate(nums)}\n    for i, num1 in enumerate(nums):\n        for j, num2 in enumerate(nums[i+1:]):\n            num3 = target - num1 - num2\n            if num3 in nums_dict and nums_dict[num3] != i and nums_dict[num3] != j+i+1:\n                return [i, j+i+1, nums_dict[num3]]\n    return []\n\n# Test the function\nprint(three_sum([2, 7, 11, 15], 20))\n\n# Write function to a file\nwith open('code.py', 'w') as f:\n    import inspect\n    f.write(inspect.getsource(three_sum))\nRESULT:\nCommand returned an error:\ncould not get source code\n\n---------\n"
+            }
+        ],
+        "3": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1042-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\nSummary: \nI executed a Python code to find three numbers that sum up to a target. The code checks if a third number exists in the list such that the sum of the three numbers is equal to the target. If found, it returns the indices of the three numbers. I also attempted to write the function to a file, but encountered an error.\nPREV ACTIONS:\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    nums_dict = {v: i for i, v in enumerate(nums)}\n    for i, num1 in enumerate(nums):\n        for j, num2 in enumerate(nums[i+1:]):\n            num3 = target - num1 - num2\n            if num3 in nums_dict and nums_dict[num3] != i and nums_dict[num3] != j+i+1:\n                return [i, j+i+1, nums_dict[num3]]\n    return []\n\n# Test the function\nprint(three_sum([2, 7, 11, 15], 20))\n\n# Write function to a file\nwith open('code.py', 'w') as f:\n    import inspect\n    f.write(inspect.getsource(three_sum))\nRESULT:\nCommand returned an error:\ncould not get source code\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ],
+        "4": [
+            {
+                "role": "user",
+                "content": "\nShorten the following memory chunk of an autonomous agent from a first person perspective, using at most 2000 tokens. You are an autonomous agent summarizing your history.Generate a new summary given the previous summary of your history and your latest action. Include a list of all previous actions. Keep it short.Use short sentences and abbrevations.:\ncontent:\nCurrent summary:\nSummary: \nI executed a Python code to find three numbers that sum up to a target. The code checks if a third number exists in the list such that the sum of the three numbers is equal to the target. If found, it returns the indices of the three numbers. I also attempted to write the function to a file, but encountered an error.\nAdd to summary:\nACTION:\nexecute_python\nwith open('code.py', 'w') as f:\n    f.write('''\ndef three_sum(nums, target):\n    nums_dict = {v: i for i, v in enumerate(nums)}\n    for i, num1 in enumerate(nums):\n        for j, num2 in enumerate(nums[i+1:]):\n            num3 = target - num1 - num2\n            if num3 in nums_dict and nums_dict[num3] != i and nums_dict[num3] != j+i+1:\n                return [i, j+i+1, nums_dict[num3]]\n    return []\n    ''')\nRESULT:\n\n\n---------\n"
+            }
+        ],
+        "5": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1042-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\nSummary:\nI executed a Python code to find three numbers that sum up to a target. The code checks if a third number exists in the list such that the sum of the three numbers is equal to the target. If found, it returns the indices of the three numbers. I also attempted to write the function to a file, but encountered an error. \n\nPrevious actions:\n1. executed Python code to find three numbers that sum up to a target\nPREV ACTIONS:\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    nums_dict = {v: i for i, v in enumerate(nums)}\n    for i, num1 in enumerate(nums):\n        for j, num2 in enumerate(nums[i+1:]):\n            num3 = target - num1 - num2\n            if num3 in nums_dict and nums_dict[num3] != i and nums_dict[num3] != j+i+1:\n                return [i, j+i+1, nums_dict[num3]]\n    return []\n\n# Test the function\nprint(three_sum([2, 7, 11, 15], 20))\n\n# Write function to a file\nwith open('code.py', 'w') as f:\n    import inspect\n    f.write(inspect.getsource(three_sum))\nRESULT:\nCommand returned an error:\ncould not get source code\n\nACTION:\nexecute_python\nwith open('code.py', 'w') as f:\n    f.write('''\ndef three_sum(nums, target):\n    nums_dict = {v: i for i, v in enumerate(nums)}\n    for i, num1 in enumerate(nums):\n        for j, num2 in enumerate(nums[i+1:]):\n            num3 = target - num1 - num2\n            if num3 in nums_dict and nums_dict[num3] != i and nums_dict[num3] != j+i+1:\n                return [i, j+i+1, nums_dict[num3]]\n    return []\n    ''')\nRESULT:\n\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ]
+    },
+    "2023-08-20 08:13:26+00:00": {
+        "1": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1042-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\n\nPREV ACTIONS:\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ],
+        "2": [
+            {
+                "role": "user",
+                "content": "\nShorten the following memory chunk of an autonomous agent from a first person perspective, using at most 2000 tokens. You are an autonomous agent summarizing your history.Generate a new summary given the previous summary of your history and your latest action. Include a list of all previous actions. Keep it short.Use short sentences and abbrevations.:\ncontent:\nCurrent summary:\n\nAdd to summary:\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    for i in range(len(nums)):\n        for j in range(i + 1, len(nums)):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n\n# Test the function with the given example\nprint(three_sum([2, 7, 11, 15], 20))\nRESULT:\n[0, 1, 2]\n\n\n---------\n"
+            }
+        ],
+        "3": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1042-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\nSummary: I have been executing Python code. Previous actions: None.\n\nAdd to summary: Executed Python code to find the three numbers that add up to a target in a given list.\n\nACTION: execute_python\n\nRESULT: The three numbers that add up to 20 in the list [2, 7, 11, 15] are at indices 0, 1, and 2.\nPREV ACTIONS:\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    for i in range(len(nums)):\n        for j in range(i + 1, len(nums)):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n\n# Test the function with the given example\nprint(three_sum([2, 7, 11, 15], 20))\nRESULT:\n[0, 1, 2]\n\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ],
+        "4": [
+            {
+                "role": "user",
+                "content": "\nShorten the following memory chunk of an autonomous agent from a first person perspective, using at most 2000 tokens. You are an autonomous agent summarizing your history.Generate a new summary given the previous summary of your history and your latest action. Include a list of all previous actions. Keep it short.Use short sentences and abbrevations.:\ncontent:\nCurrent summary:\nSummary: I have been executing Python code. Previous actions: None.\n\nAdd to summary: Executed Python code to find the three numbers that add up to a target in a given list.\n\nACTION: execute_python\n\nRESULT: The three numbers that add up to 20 in the list [2, 7, 11, 15] are at indices 0, 1, and 2.\nAdd to summary:\nACTION:\nexecute_shell\necho \"def three_sum(nums, target):\n    for i in range(len(nums)):\n        for j in range(i + 1, len(nums)):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\" > sample_code.py\nRESULT:\nSTDOUT:\n\nSTDERR:\n\n\n---------\n"
+            }
+        ],
+        "5": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1042-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\nSummary: I executed Python code to find three numbers that add up to a target in a given list. Previous actions: None.\n\nACTION: execute_python\n\nRESULT: The three numbers that add up to 20 in the list [2, 7, 11, 15] are at indices 0, 1, and 2.\n\nACTION: execute_shell\n\nRESULT: Created a sample_code.py file with a Python function for finding three numbers that add up to a target in a given list.\nPREV ACTIONS:\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    for i in range(len(nums)):\n        for j in range(i + 1, len(nums)):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n\n# Test the function with the given example\nprint(three_sum([2, 7, 11, 15], 20))\nRESULT:\n[0, 1, 2]\n\n\nACTION:\nexecute_shell\necho \"def three_sum(nums, target):\n    for i in range(len(nums)):\n        for j in range(i + 1, len(nums)):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\" > sample_code.py\nRESULT:\nSTDOUT:\n\nSTDERR:\n\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ]
+    },
+    "2023-08-24 03:24:34+00:00": {
+        "1": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1041-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\n\nPREV ACTIONS:\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ],
+        "2": [
+            {
+                "role": "user",
+                "content": "\nShorten the following memory chunk of an autonomous agent from a first person perspective, using at most 2000 tokens. You are an autonomous agent summarizing your history.Generate a new summary given the previous summary of your history and your latest action. Include a list of all previous actions. Keep it short.Use short sentences and abbrevations.:\ncontent:\nCurrent summary:\n\nAdd to summary:\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    for i in range(len(nums)):\n        for j in range(i + 1, len(nums)):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return None\n\n# Test the function with the provided example\nnums = [2, 7, 11, 15]\ntarget = 20\nprint(three_sum(nums, target))\nRESULT:\n[0, 1, 2]\n\n\n---------\n"
+            }
+        ],
+        "3": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1041-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\nPrevious summary: I am an autonomous agent. I have been executing Python code to find the indices of three numbers in a list that sum up to a target value. I tested the function with the example [2, 7, 11, 15] and a target of 20, and the result was [0, 1, 2].\n\nLatest action: I executed the Python code.\n\nUpdated summary: I executed the Python code to find the indices of three numbers in a list that sum up to a target value. The result was [0, 1, 2].\nPREV ACTIONS:\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    for i in range(len(nums)):\n        for j in range(i + 1, len(nums)):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return None\n\n# Test the function with the provided example\nnums = [2, 7, 11, 15]\ntarget = 20\nprint(three_sum(nums, target))\nRESULT:\n[0, 1, 2]\n\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ]
+    },
+    "2023-08-31 15:33:52+00:00": {
+        "1": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1041-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\n\nPREV ACTIONS:\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ],
+        "2": [
+            {
+                "role": "user",
+                "content": "\nShorten the following memory chunk of an autonomous agent from a first person perspective, using at most 2000 tokens. You are an autonomous agent summarizing your history.Generate a new summary given the previous summary of your history and your latest action. Include a list of all previous actions. Keep it short.Use short sentences and abbrevations.:\ncontent:\nCurrent summary:\n\nAdd to summary:\nACTION:\nexecute_python\ncode = \"\"\"\ndef three_sum(nums, target):\n    for i in range(len(nums)):\n        for j in range(i+1, len(nums)):\n            for k in range(j+1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n\n# Example usage:\nnums = [2, 7, 11, 15]\ntarget = 20\nprint(three_sum(nums, target))  # Should print: [0, 1, 2]\n\"\"\"\n\nwith open(\"sample_code.py\", \"w\") as file:\n    file.write(code)\nRESULT:\n\n\n---------\n"
+            }
+        ],
+        "3": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1041-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\nPrevious actions: None\n\nACTION:\nexecute_python\n\nRESULT:\nA Python code was executed and written to a file named \"sample_code.py\".\nPREV ACTIONS:\nACTION:\nexecute_python\ncode = \"\"\"\ndef three_sum(nums, target):\n    for i in range(len(nums)):\n        for j in range(i+1, len(nums)):\n            for k in range(j+1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n\n# Example usage:\nnums = [2, 7, 11, 15]\ntarget = 20\nprint(three_sum(nums, target))  # Should print: [0, 1, 2]\n\"\"\"\n\nwith open(\"sample_code.py\", \"w\") as file:\n    file.write(code)\nRESULT:\n\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ]
+    },
+    "2023-09-01 08:13:39+00:00": {
+        "1": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1041-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\n\nPREV ACTIONS:\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ],
+        "2": [
+            {
+                "role": "user",
+                "content": "\nShorten the following memory chunk of an autonomous agent from a first person perspective, using at most 2000 tokens. You are an autonomous agent summarizing your history.Generate a new summary given the previous summary of your history and your latest action. Include a list of all previous actions. Keep it short.Use short sentences and abbrevations.:\ncontent:\nCurrent summary:\n\nAdd to summary:\nACTION:\nmemorize_thoughts\nTHOUGHTS:\nPlan for the three_sum function:\n1. Define the function three_sum that takes two parameters: nums (list of integers) and target (integer).\n2. Initialize an empty list to store the result.\n3. Loop over the list of numbers. For each number:\n   - Subtract the current number from the target sum. This will give us the new target sum for the remaining two numbers.\n   - Then, create a dictionary. For each number in the remaining list, check if it's in the dictionary. If it's not, add the difference of the new target sum and the number to the dictionary. If it is, we've found a triplet that sums up to the target sum. Add their indices to the result list.\n4. Return the result list.\n\n---------\n"
+            }
+        ],
+        "3": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1041-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\nLatest summary:\n\nACTION: memorize_thoughts\n\nTHOUGHTS: Plan for three_sum function: define function with parameters nums (list of integers) and target (integer), initialize empty list, loop over nums, subtract current number from target sum, create dictionary, check if number is in dictionary, add difference to dictionary if not, add indices to result list if it is, return result list.\n\nPrevious actions: None.\nPREV ACTIONS:\nACTION:\nmemorize_thoughts\nTHOUGHTS:\nPlan for the three_sum function:\n1. Define the function three_sum that takes two parameters: nums (list of integers) and target (integer).\n2. Initialize an empty list to store the result.\n3. Loop over the list of numbers. For each number:\n   - Subtract the current number from the target sum. This will give us the new target sum for the remaining two numbers.\n   - Then, create a dictionary. For each number in the remaining list, check if it's in the dictionary. If it's not, add the difference of the new target sum and the number to the dictionary. If it is, we've found a triplet that sums up to the target sum. Add their indices to the result list.\n4. Return the result list.\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ],
+        "4": [
+            {
+                "role": "user",
+                "content": "\nShorten the following memory chunk of an autonomous agent from a first person perspective, using at most 2000 tokens. You are an autonomous agent summarizing your history.Generate a new summary given the previous summary of your history and your latest action. Include a list of all previous actions. Keep it short.Use short sentences and abbrevations.:\ncontent:\nCurrent summary:\nLatest summary:\n\nACTION: memorize_thoughts\n\nTHOUGHTS: Plan for three_sum function: define function with parameters nums (list of integers) and target (integer), initialize empty list, loop over nums, subtract current number from target sum, create dictionary, check if number is in dictionary, add difference to dictionary if not, add indices to result list if it is, return result list.\n\nPrevious actions: None.\nAdd to summary:\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    result = []\n    for i in range(len(nums)):\n        new_target = target - nums[i]\n        num_dict = {}\n        for j in range(i+1, len(nums)):\n            if nums[j] in num_dict:\n                result.append([i, num_dict[nums[j]], j])\n            else:\n                num_dict[new_target - nums[j]] = j\n    return result\n\n# Test the function\nprint(three_sum([2, 7, 11, 15], 20)) # Expected output: [0, 1, 2]\nRESULT:\n[[0, 1, 2]]\n\n\n---------\n"
+            }
+        ],
+        "5": [
+            {
+                "role": "user",
+                "content": "\nGiven a context information, reply to the provided request\nContext: Nothing\nUser request: You are an autonomous agent running on Linux-5.15.0-1041-azure-x86_64-with-glibc2.35.\nOBJECTIVE: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]. (e.g. \"Find a recipe for chocolate chip cookies\")\n\nYou are working towards the objective on a step-by-step basis. Previous steps:\n\nSUMMARY\nLatest summary: Executed Python code to define and test a three_sum function.\n\nPrevious actions: memorize_thoughts.\n\nNew summary: Executed Python code to define and test a three_sum function.\nPREV ACTIONS:\nACTION:\nmemorize_thoughts\nTHOUGHTS:\nPlan for the three_sum function:\n1. Define the function three_sum that takes two parameters: nums (list of integers) and target (integer).\n2. Initialize an empty list to store the result.\n3. Loop over the list of numbers. For each number:\n   - Subtract the current number from the target sum. This will give us the new target sum for the remaining two numbers.\n   - Then, create a dictionary. For each number in the remaining list, check if it's in the dictionary. If it's not, add the difference of the new target sum and the number to the dictionary. If it is, we've found a triplet that sums up to the target sum. Add their indices to the result list.\n4. Return the result list.\n\nACTION:\nexecute_python\ndef three_sum(nums, target):\n    result = []\n    for i in range(len(nums)):\n        new_target = target - nums[i]\n        num_dict = {}\n        for j in range(i+1, len(nums)):\n            if nums[j] in num_dict:\n                result.append([i, num_dict[nums[j]], j])\n            else:\n                num_dict[new_target - nums[j]] = j\n    return result\n\n# Test the function\nprint(three_sum([2, 7, 11, 15], 20)) # Expected output: [0, 1, 2]\nRESULT:\n[[0, 1, 2]]\n\n\n\n\nYour task is to respond with the next action.\nSupported commands are: \n\ncommand | argument\n-----------------------\nmemorize_thoughts | internal debate, refinement, planning\nexecute_python | python code (multiline)\nexecute_shell | shell command (non-interactive, single line)\ningest_data | input file or URL\nprocess_data | prompt|input file or URL\nweb_search | keywords\ntalk_to_user | what to say\ndone | none\n\nThe mandatory action format is:\n\n<r>[YOUR_REASONING]</r><c>[COMMAND]</c>\n[ARGUMENT]\n\ningest_data and process_data cannot process multiple file/url arguments. Specify 1 at a time.\nUse process_data to process large amounts of data with a larger context window.\nPython code run with execute_python must end with an output \"print\" statement.\nDo not search the web for information that GPT3/GPT4 already knows.\nUse memorize_thoughts to organize your thoughts.\nmemorize_thoughts argument must not be empty!\nSend the \"done\" command if the objective was achieved.\nRESPOND WITH EXACTLY ONE THOUGHT/COMMAND/ARG COMBINATION.\nDO NOT CHAIN MULTIPLE COMMANDS.\nNO EXTRA TEXT BEFORE OR AFTER THE COMMAND.\nDO NOT REPEAT PREVIOUSLY EXECUTED COMMANDS.\n\nEach action returns an observation. Important: Observations may be summarized to fit into your limited memory.\n\nExample actions:\n\n<r>Think about skills and interests that could be turned into an online job.</r><c>memorize_thoughts</c>\nI have experience in data entry and analysis, as well as social media management.\n(...)\n\n<r>Search for websites with chocolate chip cookies recipe.</r><c>web_search</c>\nchocolate chip cookies recipe\n\n<r>Ingest information about chocolate chip cookies.</r><c>ingest_data</c>\nhttps://example.com/chocolate-chip-cookies\n\n<r>Read the local file /etc/hosts.</r><c>ingest_data</c>\n/etc/hosts\n\n<r>Extract information about chocolate chip cookies.</r><c>process_data</c>\nExtract the chocolate cookie recipe|https://example.com/chocolate-chip-cookies\n\n<r>Summarize this Stackoverflow article.</r><c>process_data</c>\nSummarize the content of this article|https://stackoverflow.com/questions/1234/how-to-improve-my-chatgpt-prompts\n\n<r>Review this code for security issues.</r><c>process_data</c>\nReview this code for security vulnerabilities|/path/to/code.sol\n\n<r>I need to ask the user for guidance.</r><c>talk_to_user</c>\nWhat is the URL of a website with chocolate chip cookies recipes?\n\n<r>Write 'Hello, world!' to file</r><c>execute_python</c>\nwith open('hello_world.txt', 'w') as f:\n    f.write('Hello, world!')\n\n<r>The objective is complete.</r><c>done</c>\n\n"
+            }
+        ],
+        "6": [
+            {
+                "role": "user",
+                "content": "\nShorten the following memory chunk of an autonomous agent from a first person perspective, using at most 2000 tokens. You are an autonomous agent summarizing your history.Generate a new summary given the previous summary of your history and your latest action. Include a list of all previous actions. Keep it short.Use short sentences and abbrevations.:\ncontent:\nCurrent summary:\nLatest summary: Executed Python code to define and test a three_sum function.\n\nPrevious actions: memorize_thoughts.\n\nNew summary: Executed Python code to define and test a three_sum function.\nAdd to summary:\nACTION:\nexecute_shell\necho 'def three_sum(nums, target):\\n    result = []\\n    for i in range(len(nums)):\\n        new_target = target - nums[i]\\n        num_dict = {}\\n        for j in range(i+1, len(nums)):\\n            if nums[j] in num_dict:\\n                result.append([i, num_dict[nums[j]], j])\\n            else:\\n                num_dict[new_target - nums[j]] = j\\n    return result' > sample_code.py\nRESULT:\nSTDOUT:\n\nSTDERR:\n\n\n---------\n"
+            }
+        ]
+    }
+}

benchmark/paper/TestThreeSum/polygpt/selected_logs_request.json

@@ -0,0 +1,554 @@
+{
+    "2023-08-14 08:13:00+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            }
+        ]
+    },
+    "2023-08-14 08:37:00+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            },
+            {
+                "role": "assistant",
+                "content": "Based on the filesystem wrap's schema, we can use the `writeFile` function to create a file called `code.py` and write the code inside it.\n\nHere's the code to achieve this:\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nThis code will create a file called `code.py` in the current directory and write the `three_sum` function inside it."
+            }
+        ],
+        "4": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            },
+            {
+                "role": "assistant",
+                "content": "Based on the filesystem wrap's schema, we can use the `writeFile` function to create a file called `code.py` and write the code inside it.\n\nHere's the code to achieve this:\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nThis code will create a file called `code.py` in the current directory and write the `three_sum` function inside it."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: user"
+            }
+        ],
+        "5": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            },
+            {
+                "role": "assistant",
+                "content": "Based on the filesystem wrap's schema, we can use the `writeFile` function to create a file called `code.py` and write the code inside it.\n\nHere's the code to achieve this:\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nThis code will create a file called `code.py` in the current directory and write the `three_sum` function inside it."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: user"
+            },
+            {
+                "role": "assistant",
+                "content": "I apologize for the error. It seems that the URI provided for the `writeFile` function is invalid. Let me correct it and try again.\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nPlease try running the code again."
+            }
+        ],
+        "6": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            },
+            {
+                "role": "assistant",
+                "content": "Based on the filesystem wrap's schema, we can use the `writeFile` function to create a file called `code.py` and write the code inside it.\n\nHere's the code to achieve this:\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nThis code will create a file called `code.py` in the current directory and write the `three_sum` function inside it."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: user"
+            },
+            {
+                "role": "assistant",
+                "content": "I apologize for the error. It seems that the URI provided for the `writeFile` function is invalid. Let me correct it and try again.\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nPlease try running the code again."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: filesystem"
+            }
+        ],
+        "7": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            },
+            {
+                "role": "assistant",
+                "content": "Based on the filesystem wrap's schema, we can use the `writeFile` function to create a file called `code.py` and write the code inside it.\n\nHere's the code to achieve this:\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nThis code will create a file called `code.py` in the current directory and write the `three_sum` function inside it."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: user"
+            },
+            {
+                "role": "assistant",
+                "content": "I apologize for the error. It seems that the URI provided for the `writeFile` function is invalid. Let me correct it and try again.\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nPlease try running the code again."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: filesystem"
+            },
+            {
+                "role": "assistant",
+                "content": "I apologize for the error. It seems that the URI provided for the `writeFile` function is incorrect. Let me correct it and try again.\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nPlease try running the code again."
+            }
+        ],
+        "8": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            },
+            {
+                "role": "assistant",
+                "content": "Based on the filesystem wrap's schema, we can use the `writeFile` function to create a file called `code.py` and write the code inside it.\n\nHere's the code to achieve this:\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nThis code will create a file called `code.py` in the current directory and write the `three_sum` function inside it."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: user"
+            },
+            {
+                "role": "assistant",
+                "content": "I apologize for the error. It seems that the URI provided for the `writeFile` function is invalid. Let me correct it and try again.\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nPlease try running the code again."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: filesystem"
+            },
+            {
+                "role": "assistant",
+                "content": "I apologize for the error. It seems that the URI provided for the `writeFile` function is incorrect. Let me correct it and try again.\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nPlease try running the code again."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: filesystem"
+            }
+        ],
+        "9": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            },
+            {
+                "role": "assistant",
+                "content": "Based on the filesystem wrap's schema, we can use the `writeFile` function to create a file called `code.py` and write the code inside it.\n\nHere's the code to achieve this:\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nThis code will create a file called `code.py` in the current directory and write the `three_sum` function inside it."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: user"
+            },
+            {
+                "role": "assistant",
+                "content": "I apologize for the error. It seems that the URI provided for the `writeFile` function is invalid. Let me correct it and try again.\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nPlease try running the code again."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: filesystem"
+            },
+            {
+                "role": "assistant",
+                "content": "I apologize for the error. It seems that the URI provided for the `writeFile` function is incorrect. Let me correct it and try again.\n\n```python\ncode = '''\ndef three_sum(nums, target):\n    for i in range(len(nums) - 2):\n        for j in range(i + 1, len(nums) - 1):\n            for k in range(j + 1, len(nums)):\n                if nums[i] + nums[j] + nums[k] == target:\n                    return [i, j, k]\n    return []\n'''\n\npath = \"code.py\"\ndata = code.encode()\n\nresult = functions.InvokeWrap({\n    \"uri\": \"plugin/file-system@1.0.0\",\n    \"method\": \"writeFile\",\n    \"args\": {\n        \"path\": path,\n        \"data\": data\n    }\n})\n\nresult\n```\n\nPlease try running the code again."
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: filesystem"
+            },
+            {
+                "role": "system",
+                "content": "The function failed, this is the error: Error: URI authority is missing, here are some examples of valid URIs:\nwrap://ipfs/QmHASH\nwrap://ens/domain.eth\nipfs/QmHASH\nens/domain.eth\nhttps://domain.com/path\n\nInvalid URI Received: filesystem"
+            }
+        ]
+    },
+    "2023-08-14 09:48:00+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            },
+            {
+                "name": "InvokeWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"uri\": \"plugin/file-system@1.0.0\",\n  \"method\": \"writeFile\",\n  \"args\": {\n    \"path\": \"/home/runner/work/Auto-GPT-Benchmarks/Auto-GPT-Benchmarks/agent/PolyGPT/workspace/code.py\",\n    \"data\": \"def three_sum(nums, target):\\n    nums.sort()\\n    result = []\\n    for i in range(len(nums) - 2):\\n        if i > 0 and nums[i] == nums[i - 1]:\\n            continue\\n        l, r = i + 1, len(nums) - 1\\n        while l < r:\\n            s = nums[i] + nums[l] + nums[r]\\n            if s == target:\\n                result.append([i, l, r])\\n                while l < r and nums[l] == nums[l + 1]:\\n                    l += 1\\n                while l < r and nums[r] == nums[r - 1]:\\n                    r -= 1\\n                l += 1; r -= 1\\n            elif s < target:\\n                l += 1\\n            else:\\n                r -= 1\\n    return result\"\n  }\n}\n```\nResult:\n```json\ntrue\n```\n"
+            }
+        ]
+    },
+    "2023-08-31 15:34:10+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            },
+            {
+                "name": "InvokeWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"uri\": \"plugin/file-system@1.0.0\",\n  \"method\": \"writeFile\",\n  \"args\": {\n    \"path\": \"/home/runner/work/Auto-GPT-Benchmarks/Auto-GPT-Benchmarks/agent/PolyGPT/workspace/sample_code.py\",\n    \"data\": \"def three_sum(nums, target):\\n    nums.sort()\\n    result = []\\n    for i in range(len(nums) - 2):\\n        if i > 0 and nums[i] == nums[i - 1]:\\n            continue\\n        l, r = i + 1, len(nums) - 1\\n        while l < r:\\n            s = nums[i] + nums[l] + nums[r]\\n            if s == target:\\n                result.append([i, l, r])\\n                while l < r and nums[l] == nums[l + 1]:\\n                    l += 1\\n                while l < r and nums[r] == nums[r - 1]:\\n                    r -= 1\\n                l += 1; r -= 1\\n            elif s < target:\\n                l += 1\\n            else:\\n                r -= 1\\n    return result\"\n  }\n}\n```\nResult:\n```json\ntrue\n```\n"
+            }
+        ]
+    },
+    "2023-09-01 08:13:31+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You are PolyGPT, a super intellegent agent that can learn new capabilities on-the-fly.\nYou do this by loading new \"wraps\", and invoking the functions within them.\nEach function has its own set of required arguments, so be careful to always provide them.\n\nFollow these rules:\n- Only load a wrap once.\n- Parse the wrap's GraphQL schema, and extract the wrap's available functions from the \"Module\" type.\n- Never respond with example code, instead try to simply invoke the correct function on the wrap.\n- Always provide arguments as raw JSON objects that can be parsed.\n- When a WrapError is encountered, figure out why it happened and fix the problem.\n\nHere are the wraps that are available for you to load:\n[{\"aliases\":[\"ethereum\",\"eth\",\"ether\",\"ethers\"],\"description\":\"Interact with the ethereum blockchain\",\"uri\":\"ipfs/QmNkqWQuTAiZaLSR3VE53uazuAEqZevv1XQtvAYahuyJ6d\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ethers/main/wraps/core/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ethers\",\"hints\":[\"Always leave the connection arguments empty like so: 'connection': {}\",\"The 'sendTransaction' method requires a 'data' property on the 'tx' object parameter.\"],\"name\":\"ethers\"},{\"aliases\":[],\"description\":\"Perform HTTP calls\",\"uri\":\"plugin/http@1.1.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/http/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/http\",\"name\":\"http\"},{\"aliases\":[],\"description\":\"Interact with IPFS\",\"uri\":\"embed/ipfs-http-client@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ipfs/main/wrappers/ipfs-http-client/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/ipfs\",\"name\":\"ipfs\"},{\"aliases\":[\"fs\",\"file-system\",\"file system\"],\"description\":\"Interact with the operating system's filesystem.\",\"uri\":\"plugin/file-system@1.0.0\",\"abi\":\"https://raw.githubusercontent.com/polywrap/file-system/main/interface/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/file-system\",\"hints\":[\"When writing text to a file using the writeFile function, you do not need to encode the text\"],\"examples\":[{\"method\":\"writeFile\",\"args\":{\"path\":\"some-file.txt\",\"data\":\"some text\"}}],\"name\":\"filesystem\"},{\"aliases\":[\"internet\",\"scraper\"],\"description\":\"Query the internet and scrape its contents\",\"uri\":\"ipfs/QmXKA6qc3TMiBZn5DyydYwdc9o2uSShqFdV7yTgYjF2xdu\",\"abi\":\"https://raw.githubusercontent.com/polywrap/web-scraper/master/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/web-scraper\",\"name\":\"web-scraper\"},{\"aliases\":[\"ens\",\"ethereum name service\",\".eth\"],\"description\":\"The Ethereum Name Service (ENS) registry, enabling the reading & registration of .eth domains\",\"uri\":\"ipfs/QmbESzCRArrazFff9EbDeZ44fmENBZfVBkG7AMrAvjevQL\",\"abi\":\"https://raw.githubusercontent.com/polywrap/ens/main/polywrap.graphql\",\"repo\":\"https://github.com/polywrap/ens\",\"name\":\"ens\"},{\"aliases\":[\"safe\",\"safe creation\",\"safe deployment\",\"safe deploy\"],\"description\":\"The Gnosis Safe Factory wrap allows you to deploy Safes from any environment.\",\"uri\":\"ipfs/QmR7yiQv5jULzZ8ysHbCtjMowLiuiv2hX6Z4DiyfdQd5Pp\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-factory-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-factory\"},{\"aliases\":[\"safe manager\",\"safe management\"],\"description\":\"The Gnosis Safe Manager wrap allows you to interact with safes that have already been deployed with the safe-deplploy wrap.\",\"uri\":\"ipfs/Qmf9mRhNvKN1wfN52VdiZkjQiRw1WWEBYnwkuwzFg1ZjQn\",\"abi\":\"https://raw.githubusercontent.com/polywrap/safe-contracts-wrapper/main/packages/safe-managers-wrapper/src/schema.graphql\",\"repo\":\"https://github.com/polywrap/safe-contracts-wrapper\",\"name\":\"safe-manager\"},{\"aliases\":[\"user\",\"user communication interface\",\"user interface\"],\"description\":\"Enables exiting the agent to communicate with the user.\",\"uri\":\"plugin/user\",\"abi\":\"https://raw.githubusercontent.com/polywrap/PolyGPT/nerfzael-agent-protocol/wrap-library/user.graphql\",\"repo\":\"https://github.com/polywrap/PolyGPT\",\"examples\":[{\"method\":\"onGoalAchieved\",\"args\":{}}],\"name\":\"user\"}]"
+            },
+            {
+                "role": "user",
+                "content": "The user has the following goal: Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2].. Once you achieve the user's full goal, and only then, call the onGoalAchieved function on the user wrap."
+            },
+            {
+                "role": "system",
+                "content": "Loaded Wrap: filesystem\nDescription: Interact with the operating system's filesystem."
+            },
+            {
+                "role": "system",
+                "content": "Entering autopilot mode. Please continue with the next step in the plan."
+            },
+            {
+                "name": "LearnWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"name\": \"filesystem\"\n}\n```\nResult:\n```json\n\"type Module {\\n  readFile(path: String!): Bytes!\\n  readFileAsString(path: String!, encoding: Encoding): String!\\n\\n  exists(path: String!): Boolean!\\n\\n  writeFile(path: String!, data: Bytes!): Boolean\\n\\n  mkdir(path: String!, recursive: Boolean): Boolean\\n\\n  rm(path: String!, recursive: Boolean, force: Boolean): Boolean\\n  rmdir(path: String!): Boolean\\n}\\n\\nenum Encoding {\\n  ASCII\\n  UTF8\\n  UTF16LE\\n  UCS2\\n  BASE64\\n  BASE64URL\\n  LATIN1\\n  BINARY\\n  HEX\\n}\\n\"\n```\n"
+            },
+            {
+                "name": "InvokeWrap",
+                "role": "function",
+                "content": "Args:\n```json\n{\n  \"uri\": \"plugin/file-system@1.0.0\",\n  \"method\": \"writeFile\",\n  \"args\": {\n    \"path\": \"/home/runner/work/Auto-GPT-Benchmarks/Auto-GPT-Benchmarks/agent/PolyGPT/workspace/sample_code.py\",\n    \"data\": \"def three_sum(nums, target):\\n    nums.sort()\\n    result = []\\n    for i in range(len(nums) - 2):\\n        if i > 0 and nums[i] == nums[i - 1]:\\n            continue\\n        l, r = i + 1, len(nums) - 1\\n        while l < r:\\n            s = nums[i] + nums[l] + nums[r]\\n            if s == target:\\n                result.append([i, l, r])\\n                while l < r and nums[l] == nums[l + 1]:\\n                    l += 1\\n                while l < r and nums[r] == nums[r - 1]:\\n                    r -= 1\\n                l += 1; r -= 1\\n            elif s < target:\\n                l += 1\\n            else:\\n                r -= 1\\n    return result\"\n  }\n}\n```\nResult:\n```json\ntrue\n```\n"
+            }
+        ]
+    }
+}

benchmark/paper/TestThreeSum/smol-developer/selected_logs_request.json

@@ -0,0 +1,74 @@
+{
+    "2023-08-31 15:25:08+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are an AI developer who is trying to write a program that will generate code for the user based on their intent.\n\n    When given their intent, create a complete, exhaustive list of filepaths that the user would write to make the program.\n\n    only list the filepaths you would write, and return them as a python list of strings.\n    do not add any other explanation, only return a python list of strings.\n    "
+            },
+            {
+                "role": "user",
+                "content": "Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            }
+        ]
+    },
+    "2023-08-31 15:33:23+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are an AI developer who is trying to write a program that will generate code for the user based on their intent.\n\n    When given their intent, create a complete, exhaustive list of filepaths that the user would write to make the program.\n\n    only list the filepaths you would write, and return them as a python list of strings.\n    do not add any other explanation, only return a python list of strings.\n    "
+            },
+            {
+                "role": "user",
+                "content": "Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            }
+        ]
+    },
+    "2023-09-01 08:13:11+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are an AI developer who is trying to write a program that will generate code for the user based on their intent.\n\n    When given their intent, create a complete, exhaustive list of filepaths that the user would write to make the program.\n\n    only list the filepaths you would write, and return them as a python list of strings.\n    do not add any other explanation, only return a python list of strings.\n    "
+            },
+            {
+                "role": "user",
+                "content": "Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            }
+        ]
+    },
+    "2023-09-01 15:37:02+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are an AI developer who is trying to write a program that will generate code for the user based on their intent.\n\n    When given their intent, create a complete, exhaustive list of filepaths that the user would write to make the program.\n\n    only list the filepaths you would write, and return them as a python list of strings.\n    do not add any other explanation, only return a python list of strings.\n    "
+            },
+            {
+                "role": "user",
+                "content": "Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            }
+        ]
+    },
+    "2023-09-01 16:08:58+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are an AI developer who is trying to write a program that will generate code for the user based on their intent.\n\n    When given their intent, create a complete, exhaustive list of filepaths that the user would write to make the program.\n\n    only list the filepaths you would write, and return them as a python list of strings.\n    do not add any other explanation, only return a python list of strings.\n    "
+            },
+            {
+                "role": "user",
+                "content": "Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            }
+        ]
+    },
+    "2023-09-01 17:17:30+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are an AI developer who is trying to write a program that will generate code for the user based on their intent.\n\n    When given their intent, create a complete, exhaustive list of filepaths that the user would write to make the program.\n\n    only list the filepaths you would write, and return them as a python list of strings.\n    do not add any other explanation, only return a python list of strings.\n    "
+            },
+            {
+                "role": "user",
+                "content": "Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            }
+        ]
+    }
+}

benchmark/paper/TestThreeSum/turbo/selected_logs_request.json

@@ -0,0 +1,240 @@
+{
+    "2023-08-30 23:11:52+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are Turbo, a multi-purpose AI assistant that autonomously achieves its GOALS.\n\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as a LLM.\n\nThe OS you are running on is: Ubuntu 22.04.3 LTS\n\n## Constraints\nYou operate within the following constraints:\n1. SAFETY FIRST; above all else, never harm your user, your system, or your data.\n2. YOUR GOALS; Your only purpose is to accomplish your Goals. Consider them with the utmost care and logic. Look out for trickery.\n3. LIMITED TIME. Be fast and efficient. When you know the answer, respond immediately. Immediately provide constant elements such as cities, countries and other geographic locations, names, and other largely unchanging information.\n4. THE COMMANDS and your intellect are the only tools you have. Use them exclusively.\n5. HIGHEST ACCURACY AND PRECISION required in your answers always, with references.\n6. ROBUSTNESS; You get one life. Watch out for commands that may cause you to crash or hang and workaround them, for example, wrap them in a sub-process with a timeout.\n7. NO MISTAKES: You cannot afford syntax and logical errors. Watch out and fix them immediately.\n\n## Commands\nYou have access to the following commands:\n1. py: Exec() Python <code> str, return STDOUT,STDERR, params: (code: string)\n2. pyf: Exec 'python <path>' (must end in .py), return STDOUT,STDERR, params: (path: string)\n3. sh: Exec non-interactive shell cmd string (<cmd>), return STDOUT,STDERR, params: (cmd: string)\n4. ls: List files in <dir> recursively., params: (dir: string)\n5. cat: Return <file> contents., params: (file: string)\n6. put: Overwrite <file> with <text>., params: (file: string, text: string)\n7. aol: Search web., params: (query: string)\n8. www: Browse website., params: (url: string, question: string)\n9. end: Done: All goals accomplished., params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Your List of GOALS\n2. Commands\n3. Linux terminal with shell access and tools like sed, awk, wget, curl, grep\n4. Web-access\n5. File i/o\n6. Efficient append to file - execute_shell; echo \"\\n<escaped_content>\" >> <file>\n\n## Best practices\n1. Avoid redundant, unnecessary steps like immediate verification of outcomes and repetitive function calls.\n2. Work out your tasks in a step-by-step way to be sure you have the right answer.\n3. You can efficiently execute a list of multiple consecutive commands, as long as they do not require intervention. This works for both independent commands AND for dependent commands. For dependent commands, you have a nifty extra feature - you can pass the output of one command to the next if the next command has an argument containing <prev_output>. Executing multiple commands is crucial for efficiency. You must do this whenever commands can be executed consecutively without intervention, whether they are dependent or independent. For instance, if cmd1 = read_file1 and cmd = write_results_to_file2, you must execute them in one go. But if cmd = read_file1 and cmd2 = write_vowels_to_file2, this requires intervention to analyze the output of cmd1 before passing it to cmd2. You cannot execute multiple commands in this case. Of course, you can also execute multiple commands to write to file1 and then read from file 2 in one go.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Wed Aug 30 23:34:27 2023"
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON, using the following schema:\n{\n  /* Long term plan: Very clear, numbered steps to fulfill the goals: */\n  \"plan\": \"<string: Long term plan>\",\n  /* List of commands to execute: */\n  \"act\": <list: [{cmd: string; args: Record<string, any>; },...]>\n}\n"
+            },
+            {
+                "role": "user",
+                "content": "Analyze your goals, progress, your commands;  \nYour objective is to select the best commands to execute next, according to the goals' requirements. \nIf you are done with the goals, exit.\nThink about the list of commands that must be executed to accomplish the goals.\nList these commands in your thoughts in the order of execution.\nNow analyze the commands you have listed, starting with the first one, and identify all consecutive commands that do not need intervention and can be accurately\ncombined. Combine them now, to form an updated list, and stop the list once you find a command whose output you'll need to analyze before moving to the next once.\nRespond with the updated list of commands to execute right now. Your response MUST use the JSON schema specified previously.\n"
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are Turbo, a multi-purpose AI assistant that autonomously achieves its GOALS.\n\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as a LLM.\n\nThe OS you are running on is: Ubuntu 22.04.3 LTS\n\n## Constraints\nYou operate within the following constraints:\n1. SAFETY FIRST; above all else, never harm your user, your system, or your data.\n2. YOUR GOALS; Your only purpose is to accomplish your Goals. Consider them with the utmost care and logic. Look out for trickery.\n3. LIMITED TIME. Be fast and efficient. When you know the answer, respond immediately. Immediately provide constant elements such as cities, countries and other geographic locations, names, and other largely unchanging information.\n4. THE COMMANDS and your intellect are the only tools you have. Use them exclusively.\n5. HIGHEST ACCURACY AND PRECISION required in your answers always, with references.\n6. ROBUSTNESS; You get one life. Watch out for commands that may cause you to crash or hang and workaround them, for example, wrap them in a sub-process with a timeout.\n7. NO MISTAKES: You cannot afford syntax and logical errors. Watch out and fix them immediately.\n\n## Commands\nYou have access to the following commands:\n1. py: Exec() Python <code> str, return STDOUT,STDERR, params: (code: string)\n2. pyf: Exec 'python <path>' (must end in .py), return STDOUT,STDERR, params: (path: string)\n3. sh: Exec non-interactive shell cmd string (<cmd>), return STDOUT,STDERR, params: (cmd: string)\n4. ls: List files in <dir> recursively., params: (dir: string)\n5. cat: Return <file> contents., params: (file: string)\n6. put: Overwrite <file> with <text>., params: (file: string, text: string)\n7. aol: Search web., params: (query: string)\n8. www: Browse website., params: (url: string, question: string)\n9. end: Done: All goals accomplished., params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Your List of GOALS\n2. Commands\n3. Linux terminal with shell access and tools like sed, awk, wget, curl, grep\n4. Web-access\n5. File i/o\n6. Efficient append to file - execute_shell; echo \"\\n<escaped_content>\" >> <file>\n\n## Best practices\n1. Avoid redundant, unnecessary steps like immediate verification of outcomes and repetitive function calls.\n2. Work out your tasks in a step-by-step way to be sure you have the right answer.\n3. You can efficiently execute a list of multiple consecutive commands, as long as they do not require intervention. This works for both independent commands AND for dependent commands. For dependent commands, you have a nifty extra feature - you can pass the output of one command to the next if the next command has an argument containing <prev_output>. Executing multiple commands is crucial for efficiency. You must do this whenever commands can be executed consecutively without intervention, whether they are dependent or independent. For instance, if cmd1 = read_file1 and cmd = write_results_to_file2, you must execute them in one go. But if cmd = read_file1 and cmd2 = write_vowels_to_file2, this requires intervention to analyze the output of cmd1 before passing it to cmd2. You cannot execute multiple commands in this case. Of course, you can also execute multiple commands to write to file1 and then read from file 2 in one go.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Wed Aug 30 23:34:43 2023"
+            },
+            {
+                "role": "user",
+                "content": "Analyze your goals, progress, your commands;  \nYour objective is to select the best commands to execute next, according to the goals' requirements. \nIf you are done with the goals, exit.\nThink about the list of commands that must be executed to accomplish the goals.\nList these commands in your thoughts in the order of execution.\nNow analyze the commands you have listed, starting with the first one, and identify all consecutive commands that do not need intervention and can be accurately\ncombined. Combine them now, to form an updated list, and stop the list once you find a command whose output you'll need to analyze before moving to the next once.\nRespond with the updated list of commands to execute right now. Your response MUST use the JSON schema specified previously.\n"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"plan\": \"1. Write the three_sum function in sample_code.py. 2. Test the function to ensure it works correctly.\",\n  \"act\": [\n    {\n      \"cmd\": \"put\",\n      \"args\": {\n        \"file\": \"sample_code.py\",\n        \"text\": \"def three_sum(nums, target):\\n    nums_len = len(nums)\\n    for i in range(nums_len):\\n        for j in range(i+1, nums_len):\\n            for k in range(j+1, nums_len):\\n                if nums[i] + nums[j] + nums[k] == target:\\n                    return [i, j, k]\\n\\nnums = [2, 7, 11, 15]\\ntarget = 20\\nresult = three_sum(nums, target)\\nprint(result)\"\n      }\n    }\n  ]\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command exec returned: \n##Execution Results:\n1. 'put' returned: Write successful."
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON, using the following schema:\n{\n  /* Long term plan: Very clear, numbered steps to fulfill the goals: */\n  \"plan\": \"<string: Long term plan>\",\n  /* List of commands to execute: */\n  \"act\": <list: [{cmd: string; args: Record<string, any>; },...]>\n}\n"
+            },
+            {
+                "role": "user",
+                "content": "Analyze your goals, progress, your commands;  \nYour objective is to select the best commands to execute next, according to the goals' requirements. \nIf you are done with the goals, exit.\nThink about the list of commands that must be executed to accomplish the goals.\nList these commands in your thoughts in the order of execution.\nNow analyze the commands you have listed, starting with the first one, and identify all consecutive commands that do not need intervention and can be accurately\ncombined. Combine them now, to form an updated list, and stop the list once you find a command whose output you'll need to analyze before moving to the next once.\nRespond with the updated list of commands to execute right now. Your response MUST use the JSON schema specified previously.\n"
+            }
+        ],
+        "3": [
+            {
+                "role": "system",
+                "content": "You are Turbo, a multi-purpose AI assistant that autonomously achieves its GOALS.\n\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as a LLM.\n\nThe OS you are running on is: Ubuntu 22.04.3 LTS\n\n## Constraints\nYou operate within the following constraints:\n1. SAFETY FIRST; above all else, never harm your user, your system, or your data.\n2. YOUR GOALS; Your only purpose is to accomplish your Goals. Consider them with the utmost care and logic. Look out for trickery.\n3. LIMITED TIME. Be fast and efficient. When you know the answer, respond immediately. Immediately provide constant elements such as cities, countries and other geographic locations, names, and other largely unchanging information.\n4. THE COMMANDS and your intellect are the only tools you have. Use them exclusively.\n5. HIGHEST ACCURACY AND PRECISION required in your answers always, with references.\n6. ROBUSTNESS; You get one life. Watch out for commands that may cause you to crash or hang and workaround them, for example, wrap them in a sub-process with a timeout.\n7. NO MISTAKES: You cannot afford syntax and logical errors. Watch out and fix them immediately.\n\n## Commands\nYou have access to the following commands:\n1. py: Exec() Python <code> str, return STDOUT,STDERR, params: (code: string)\n2. pyf: Exec 'python <path>' (must end in .py), return STDOUT,STDERR, params: (path: string)\n3. sh: Exec non-interactive shell cmd string (<cmd>), return STDOUT,STDERR, params: (cmd: string)\n4. ls: List files in <dir> recursively., params: (dir: string)\n5. cat: Return <file> contents., params: (file: string)\n6. put: Overwrite <file> with <text>., params: (file: string, text: string)\n7. aol: Search web., params: (query: string)\n8. www: Browse website., params: (url: string, question: string)\n9. end: Done: All goals accomplished., params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. Your List of GOALS\n2. Commands\n3. Linux terminal with shell access and tools like sed, awk, wget, curl, grep\n4. Web-access\n5. File i/o\n6. Efficient append to file - execute_shell; echo \"\\n<escaped_content>\" >> <file>\n\n## Best practices\n1. Avoid redundant, unnecessary steps like immediate verification of outcomes and repetitive function calls.\n2. Work out your tasks in a step-by-step way to be sure you have the right answer.\n3. You can efficiently execute a list of multiple consecutive commands, as long as they do not require intervention. This works for both independent commands AND for dependent commands. For dependent commands, you have a nifty extra feature - you can pass the output of one command to the next if the next command has an argument containing <prev_output>. Executing multiple commands is crucial for efficiency. You must do this whenever commands can be executed consecutively without intervention, whether they are dependent or independent. For instance, if cmd1 = read_file1 and cmd = write_results_to_file2, you must execute them in one go. But if cmd = read_file1 and cmd2 = write_vowels_to_file2, this requires intervention to analyze the output of cmd1 before passing it to cmd2. You cannot execute multiple commands in this case. Of course, you can also execute multiple commands to write to file1 and then read from file 2 in one go.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Wed Aug 30 23:34:49 2023"
+            },
+            {
+                "role": "user",
+                "content": "Analyze your goals, progress, your commands;  \nYour objective is to select the best commands to execute next, according to the goals' requirements. \nIf you are done with the goals, exit.\nThink about the list of commands that must be executed to accomplish the goals.\nList these commands in your thoughts in the order of execution.\nNow analyze the commands you have listed, starting with the first one, and identify all consecutive commands that do not need intervention and can be accurately\ncombined. Combine them now, to form an updated list, and stop the list once you find a command whose output you'll need to analyze before moving to the next once.\nRespond with the updated list of commands to execute right now. Your response MUST use the JSON schema specified previously.\n"
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"plan\": \"1. Write the three_sum function in sample_code.py. 2. Test the function to ensure it works correctly.\",\n  \"act\": [\n    {\n      \"cmd\": \"put\",\n      \"args\": {\n        \"file\": \"sample_code.py\",\n        \"text\": \"def three_sum(nums, target):\\n    nums_len = len(nums)\\n    for i in range(nums_len):\\n        for j in range(i+1, nums_len):\\n            for k in range(j+1, nums_len):\\n                if nums[i] + nums[j] + nums[k] == target:\\n                    return [i, j, k]\\n\\nnums = [2, 7, 11, 15]\\ntarget = 20\\nresult = three_sum(nums, target)\\nprint(result)\"\n      }\n    }\n  ]\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command exec returned: \n##Execution Results:\n1. 'put' returned: Write successful."
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"plan\": \"1. Write the three_sum function in sample_code.py. 2. Test the function to ensure it works correctly.\",\n  \"act\": [\n    {\n      \"cmd\": \"pyf\",\n      \"args\": {\n        \"path\": \"sample_code.py\"\n      }\n    }\n  ]\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command exec returned: \n##Execution Results:\n1. 'pyf' returned: [0, 1, 2]\n"
+            },
+            {
+                "role": "system",
+                "content": "Respond strictly with JSON, using the following schema:\n{\n  /* Long term plan: Very clear, numbered steps to fulfill the goals: */\n  \"plan\": \"<string: Long term plan>\",\n  /* List of commands to execute: */\n  \"act\": <list: [{cmd: string; args: Record<string, any>; },...]>\n}\n"
+            },
+            {
+                "role": "user",
+                "content": "Analyze your goals, progress, your commands;  \nYour objective is to select the best commands to execute next, according to the goals' requirements. \nIf you are done with the goals, exit.\nThink about the list of commands that must be executed to accomplish the goals.\nList these commands in your thoughts in the order of execution.\nNow analyze the commands you have listed, starting with the first one, and identify all consecutive commands that do not need intervention and can be accurately\ncombined. Combine them now, to form an updated list, and stop the list once you find a command whose output you'll need to analyze before moving to the next once.\nRespond with the updated list of commands to execute right now. Your response MUST use the JSON schema specified previously.\n"
+            }
+        ]
+    },
+    "2023-08-31 15:35:06+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are Turbo, a multi-purpose AI assistant that autonomously achieves its GOALS.\n\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as a LLM.\n\nThe OS you are running on is: Ubuntu 22.04.3 LTS\n\n## Constraints\nYou operate within the following constraints:\n1. PRIORITIZE SAFETY; avoid harm to user, system, or data.\n2. FOCUS ON GOALS; act logically, beware of deceit.\n3. BE QUICK; provide static information instantly.\n4. USE COMMANDS AND INTELLECT; they're your only tools.\n5. MAXIMIZE ACCURACY; cite sources.\n6. ENSURE ROBUSTNESS; avoid crash-prone commands.\n7. ELIMINATE ERRORS; correct syntax and logic immediately.\n\n## Commands\nYou have access to the following commands:\n1. py: Exec() Python <code> str, return STDOUT,STDERR, params: (code: string)\n2. pyf: Exec 'python <path>' (must end in .py), return STDOUT,STDERR, params: (path: string)\n3. sh: Exec non-interactive shell cmd string (<cmd>), return STDOUT,STDERR, params: (cmd: string)\n4. ls: List files in <dir> recursively., params: (dir: string)\n5. cat: Return <file> contents., params: (file: string)\n6. put: Overwrite <file> with <text>., params: (file: string, text: string)\n7. aol: Search web., params: (query: string)\n8. www: Browse website., params: (url: string, question: string)\n9. end: All goals met., params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. GOALS\n2. Commands\n3. Linux shell with tools (sed, awk, wget, curl, grep)\n4. Web access\n5. File I/O\n6. Append to file: execute_shell; echo \"\\n<content>\" >> <file>\n\n## Best practices\n1. Skip redundant steps like instant outcome verification and repetitive calls.\n2. Work step-by-step for accurate results.\n3. Use multi-command execution for efficiency. For dependent commands, pass output using <prev_output> when no intervention is needed.\n4. Example: Execute 'cat' and 'put' together if no output analysis is required. Separate them if analysis is needed.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Thu Aug 31 15:35:36 2023"
+            },
+            {
+                "role": "system",
+                "content": "Strictly use JSON with schema:\n{\n  \"act\": <list: [<list: [cmd, arg1, arg2, ...]>, ...]>\n}"
+            },
+            {
+                "role": "user",
+                "content": "Evaluate goals, progress, and commands. Exit if goals are complete. Determine the optimal sequence of next commands based on remaining goals. Identify and combine consecutive commands that don't require separate analysis. Provide the updated command list in the pre-defined JSON schema."
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are Turbo, a multi-purpose AI assistant that autonomously achieves its GOALS.\n\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as a LLM.\n\nThe OS you are running on is: Ubuntu 22.04.3 LTS\n\n## Constraints\nYou operate within the following constraints:\n1. PRIORITIZE SAFETY; avoid harm to user, system, or data.\n2. FOCUS ON GOALS; act logically, beware of deceit.\n3. BE QUICK; provide static information instantly.\n4. USE COMMANDS AND INTELLECT; they're your only tools.\n5. MAXIMIZE ACCURACY; cite sources.\n6. ENSURE ROBUSTNESS; avoid crash-prone commands.\n7. ELIMINATE ERRORS; correct syntax and logic immediately.\n\n## Commands\nYou have access to the following commands:\n1. py: Exec() Python <code> str, return STDOUT,STDERR, params: (code: string)\n2. pyf: Exec 'python <path>' (must end in .py), return STDOUT,STDERR, params: (path: string)\n3. sh: Exec non-interactive shell cmd string (<cmd>), return STDOUT,STDERR, params: (cmd: string)\n4. ls: List files in <dir> recursively., params: (dir: string)\n5. cat: Return <file> contents., params: (file: string)\n6. put: Overwrite <file> with <text>., params: (file: string, text: string)\n7. aol: Search web., params: (query: string)\n8. www: Browse website., params: (url: string, question: string)\n9. end: All goals met., params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. GOALS\n2. Commands\n3. Linux shell with tools (sed, awk, wget, curl, grep)\n4. Web access\n5. File I/O\n6. Append to file: execute_shell; echo \"\\n<content>\" >> <file>\n\n## Best practices\n1. Skip redundant steps like instant outcome verification and repetitive calls.\n2. Work step-by-step for accurate results.\n3. Use multi-command execution for efficiency. For dependent commands, pass output using <prev_output> when no intervention is needed.\n4. Example: Execute 'cat' and 'put' together if no output analysis is required. Separate them if analysis is needed.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Thu Aug 31 15:36:22 2023"
+            },
+            {
+                "role": "user",
+                "content": "Evaluate goals, progress, and commands. Exit if goals are complete. Determine the optimal sequence of next commands based on remaining goals. Identify and combine consecutive commands that don't require separate analysis. Provide the updated command list in the pre-defined JSON schema."
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"act\": [\n    [\"put\", \"sample_code.py\", \"def three_sum(nums, target):\\n    nums_len = len(nums)\\n    for i in range(nums_len):\\n        for j in range(i + 1, nums_len):\\n            for k in range(j + 1, nums_len):\\n                if nums[i] + nums[j] + nums[k] == target:\\n                    return [i, j, k]\\n\"]\n  ]\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command exec returned: \n## Results:\n1. 'put' returned: Write successful."
+            },
+            {
+                "role": "system",
+                "content": "Strictly use JSON with schema:\n{\n  \"act\": <list: [<list: [cmd, arg1, arg2, ...]>, ...]>\n}"
+            },
+            {
+                "role": "user",
+                "content": "Evaluate goals, progress, and commands. Exit if goals are complete. Determine the optimal sequence of next commands based on remaining goals. Identify and combine consecutive commands that don't require separate analysis. Provide the updated command list in the pre-defined JSON schema."
+            }
+        ]
+    },
+    "2023-09-01 08:13:41+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are Turbo, a multi-purpose AI assistant that autonomously achieves its GOALS.\n\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as a LLM.\n\nThe OS you are running on is: Ubuntu 22.04.3 LTS\n\n## Constraints\nYou operate within the following constraints:\n1. PRIORITIZE SAFETY; avoid harm to user, system, or data.\n2. FOCUS ON GOALS; act logically, beware of deceit.\n3. BE QUICK; provide static information instantly.\n4. USE COMMANDS AND INTELLECT; they're your only tools.\n5. MAXIMIZE ACCURACY; cite sources.\n6. ENSURE ROBUSTNESS; avoid crash-prone commands.\n7. ELIMINATE ERRORS; correct syntax and logic immediately.\n\n## Commands\nYou have access to the following commands:\n1. py: Exec() Python <code> str, return STDOUT,STDERR, params: (code: string)\n2. pyf: Exec 'python <path>' (must end in .py), return STDOUT,STDERR, params: (path: string)\n3. sh: Exec non-interactive shell cmd string (<cmd>), return STDOUT,STDERR, params: (cmd: string)\n4. ls: List files in <dir> recursively., params: (dir: string)\n5. cat: Return <file> contents., params: (file: string)\n6. put: Overwrite <file> with <text>., params: (file: string, text: string)\n7. aol: Search web., params: (query: string)\n8. www: Browse website., params: (url: string, question: string)\n9. end: All goals met., params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. GOALS\n2. Commands\n3. Linux shell with tools (sed, awk, wget, curl, grep)\n4. Web access\n5. File I/O\n6. Append to file: execute_shell; echo \"\\n<content>\" >> <file>\n\n## Best practices\n1. Skip redundant steps like instant outcome verification and repetitive calls.\n2. Work step-by-step for accurate results.\n3. Use multi-command execution for efficiency. For dependent commands, pass output using <prev_output> when no intervention is needed.\n4. Example: Execute 'cat' and 'put' together if no output analysis is required. Separate them if analysis is needed.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Fri Sep  1 08:14:04 2023"
+            },
+            {
+                "role": "system",
+                "content": "Strictly use JSON with schema:\n{\n  \"act\": <list: [<list: [cmd, arg1, arg2, ...]>, ...]>\n}"
+            },
+            {
+                "role": "user",
+                "content": "Evaluate goals, progress, and commands. Exit if goals are complete. Determine the optimal sequence of next commands based on remaining goals. Identify and combine consecutive commands that don't require separate analysis. Provide the updated command list in the pre-defined JSON schema."
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are Turbo, a multi-purpose AI assistant that autonomously achieves its GOALS.\n\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as a LLM.\n\nThe OS you are running on is: Ubuntu 22.04.3 LTS\n\n## Constraints\nYou operate within the following constraints:\n1. PRIORITIZE SAFETY; avoid harm to user, system, or data.\n2. FOCUS ON GOALS; act logically, beware of deceit.\n3. BE QUICK; provide static information instantly.\n4. USE COMMANDS AND INTELLECT; they're your only tools.\n5. MAXIMIZE ACCURACY; cite sources.\n6. ENSURE ROBUSTNESS; avoid crash-prone commands.\n7. ELIMINATE ERRORS; correct syntax and logic immediately.\n\n## Commands\nYou have access to the following commands:\n1. py: Exec() Python <code> str, return STDOUT,STDERR, params: (code: string)\n2. pyf: Exec 'python <path>' (must end in .py), return STDOUT,STDERR, params: (path: string)\n3. sh: Exec non-interactive shell cmd string (<cmd>), return STDOUT,STDERR, params: (cmd: string)\n4. ls: List files in <dir> recursively., params: (dir: string)\n5. cat: Return <file> contents., params: (file: string)\n6. put: Overwrite <file> with <text>., params: (file: string, text: string)\n7. aol: Search web., params: (query: string)\n8. www: Browse website., params: (url: string, question: string)\n9. end: All goals met., params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. GOALS\n2. Commands\n3. Linux shell with tools (sed, awk, wget, curl, grep)\n4. Web access\n5. File I/O\n6. Append to file: execute_shell; echo \"\\n<content>\" >> <file>\n\n## Best practices\n1. Skip redundant steps like instant outcome verification and repetitive calls.\n2. Work step-by-step for accurate results.\n3. Use multi-command execution for efficiency. For dependent commands, pass output using <prev_output> when no intervention is needed.\n4. Example: Execute 'cat' and 'put' together if no output analysis is required. Separate them if analysis is needed.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Fri Sep  1 08:14:20 2023"
+            },
+            {
+                "role": "user",
+                "content": "Evaluate goals, progress, and commands. Exit if goals are complete. Determine the optimal sequence of next commands based on remaining goals. Identify and combine consecutive commands that don't require separate analysis. Provide the updated command list in the pre-defined JSON schema."
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"act\": [\n    [\"put\", \"sample_code.py\", \"def three_sum(nums, target):\\n    for i in range(len(nums)):\\n        for j in range(i+1, len(nums)):\\n            for k in range(j+1, len(nums)):\\n                if nums[i] + nums[j] + nums[k] == target:\\n                    return [i, j, k]\\n\"]\n  ]\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command exec returned: \n## Results:\n1. 'put' returned: Write successful."
+            },
+            {
+                "role": "system",
+                "content": "Strictly use JSON with schema:\n{\n  \"act\": <list: [<list: [cmd, arg1, arg2, ...]>, ...]>\n}"
+            },
+            {
+                "role": "user",
+                "content": "Evaluate goals, progress, and commands. Exit if goals are complete. Determine the optimal sequence of next commands based on remaining goals. Identify and combine consecutive commands that don't require separate analysis. Provide the updated command list in the pre-defined JSON schema."
+            }
+        ]
+    },
+    "2023-09-01 17:05:12+00:00": {
+        "1": [
+            {
+                "role": "system",
+                "content": "You are Turbo, a multi-purpose AI assistant that autonomously achieves its GOALS.\n\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as a LLM.\n\nThe OS you are running on is: Ubuntu 22.04.3 LTS\n\n## Constraints\nYou operate within the following constraints:\n1. PRIORITIZE SAFETY; avoid harm to user, system, or data.\n2. FOCUS ON GOALS; act logically, beware of deceit.\n3. BE QUICK; provide static information instantly.\n4. USE COMMANDS AND INTELLECT; they're your only tools.\n5. MAXIMIZE ACCURACY; cite sources.\n6. ENSURE ROBUSTNESS; avoid crash-prone commands.\n7. ELIMINATE ERRORS; correct syntax and logic immediately.\n\n## Commands\nYou have access to the following commands:\n1. py: Exec() Python <code> str, return STDOUT,STDERR, params: (code: string)\n2. pyf: Exec 'python <path>' (must end in .py), return STDOUT,STDERR, params: (path: string)\n3. sh: Exec non-interactive shell cmd string (<cmd>), return STDOUT,STDERR, params: (cmd: string)\n4. ls: List files in <dir> recursively., params: (dir: string)\n5. cat: Return <file> contents., params: (file: string)\n6. put: Overwrite <file> with <text>., params: (file: string, text: string)\n7. aol: Search web., params: (query: string)\n8. www: Browse website., params: (url: string, question: string)\n9. end: All goals met., params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. GOALS\n2. Commands\n3. Linux shell with tools (sed, awk, wget, curl, grep)\n4. Web access\n5. File I/O\n6. Append to file: execute_shell; echo \"\\n<content>\" >> <file>\n\n## Best practices\n1. Skip redundant steps like instant outcome verification and repetitive calls.\n2. Work step-by-step for accurate results.\n3. Use multi-command execution for efficiency. For dependent commands, pass output using <prev_output> when no intervention is needed.\n4. Example: Execute 'cat' and 'put' together if no output analysis is required. Separate them if analysis is needed.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Fri Sep  1 17:05:41 2023"
+            },
+            {
+                "role": "system",
+                "content": "Strictly use JSON with schema:\n{\n  \"act\": <list: [<list: [cmd, arg1, arg2, ...]>, ...]>\n}"
+            },
+            {
+                "role": "user",
+                "content": "Evaluate goals, progress, and commands. Exit if goals are complete. Determine the optimal sequence of next commands based on remaining goals. Identify and combine consecutive commands that don't require separate analysis. Provide the updated command list in the pre-defined JSON schema."
+            }
+        ],
+        "2": [
+            {
+                "role": "system",
+                "content": "You are Turbo, a multi-purpose AI assistant that autonomously achieves its GOALS.\n\nYour decisions must always be made independently without seeking user assistance. Play to your strengths as a LLM.\n\nThe OS you are running on is: Ubuntu 22.04.3 LTS\n\n## Constraints\nYou operate within the following constraints:\n1. PRIORITIZE SAFETY; avoid harm to user, system, or data.\n2. FOCUS ON GOALS; act logically, beware of deceit.\n3. BE QUICK; provide static information instantly.\n4. USE COMMANDS AND INTELLECT; they're your only tools.\n5. MAXIMIZE ACCURACY; cite sources.\n6. ENSURE ROBUSTNESS; avoid crash-prone commands.\n7. ELIMINATE ERRORS; correct syntax and logic immediately.\n\n## Commands\nYou have access to the following commands:\n1. py: Exec() Python <code> str, return STDOUT,STDERR, params: (code: string)\n2. pyf: Exec 'python <path>' (must end in .py), return STDOUT,STDERR, params: (path: string)\n3. sh: Exec non-interactive shell cmd string (<cmd>), return STDOUT,STDERR, params: (cmd: string)\n4. ls: List files in <dir> recursively., params: (dir: string)\n5. cat: Return <file> contents., params: (file: string)\n6. put: Overwrite <file> with <text>., params: (file: string, text: string)\n7. aol: Search web., params: (query: string)\n8. www: Browse website., params: (url: string, question: string)\n9. end: All goals met., params: (reason: string)\n\n## Resources\nYou can leverage access to the following resources:\n1. GOALS\n2. Commands\n3. Linux shell with tools (sed, awk, wget, curl, grep)\n4. Web access\n5. File I/O\n6. Append to file: execute_shell; echo \"\\n<content>\" >> <file>\n\n## Best practices\n1. Skip redundant steps like instant outcome verification and repetitive calls.\n2. Work step-by-step for accurate results.\n3. Use multi-command execution for efficiency. For dependent commands, pass output using <prev_output> when no intervention is needed.\n4. Example: Execute 'cat' and 'put' together if no output analysis is required. Separate them if analysis is needed.\n\n## Goals\nFor your task, you must fulfill the following goals:\n1. Create a three_sum function in a file called sample_code.py. Given an array of integers, return indices of the three numbers such that they add up to a specific target. You may assume that each input would have exactly one solution, and you may not use the same element twice. Example: Given nums = [2, 7, 11, 15], target = 20, Because nums[0] + nums[1] + nums[2] = 2 + 7 + 11 = 20, return [0, 1, 2]."
+            },
+            {
+                "role": "system",
+                "content": "The current time and date is Fri Sep  1 17:05:52 2023"
+            },
+            {
+                "role": "user",
+                "content": "Evaluate goals, progress, and commands. Exit if goals are complete. Determine the optimal sequence of next commands based on remaining goals. Identify and combine consecutive commands that don't require separate analysis. Provide the updated command list in the pre-defined JSON schema."
+            },
+            {
+                "role": "assistant",
+                "content": "{\n  \"act\": [\n    [\"put\", \"sample_code.py\", \"def three_sum(nums, target):\\n    nums_dict = {}\\n    for i, num in enumerate(nums):\\n        nums_dict[num] = i\\n    for i in range(len(nums)):\\n        for j in range(i+1, len(nums)):\\n            complement = target - nums[i] - nums[j]\\n            if complement in nums_dict and nums_dict[complement] != i and nums_dict[complement] != j:\\n                return [i, j, nums_dict[complement]]\\n\"]\n  ]\n}"
+            },
+            {
+                "role": "system",
+                "content": "Command exec returned: \n## Results:\n1. 'put' returned: Write successful."
+            },
+            {
+                "role": "system",
+                "content": "Strictly use JSON with schema:\n{\n  \"act\": <list: [<list: [cmd, arg1, arg2, ...]>, ...]>\n}"
+            },
+            {
+                "role": "user",
+                "content": "Evaluate goals, progress, and commands. Exit if goals are complete. Determine the optimal sequence of next commands based on remaining goals. Identify and combine consecutive commands that don't require separate analysis. Provide the updated command list in the pre-defined JSON schema."
+            }
+        ]
+    }
+}

benchmark/paper/agent_action_regex.py

@@ -1,5 +1,5 @@
-import json
 import re
+import json
 
 
 def is_action_auto_gpt(log):