Resources:

 

　　1. Internet access for searches and information gathering.

 

　　2. Long Term memory management.

 

　　3. GPT-3.5 powered Agents for delegation of simple tasks.

 

　　4. File output.

 

　　Performance Evaluation:

 

　　1. Continuously review and analyze your actions to ensure you are performing to the best of your abilities.

 

　　2. Constructively self-criticize your big-picture behavior constantly.

 

　　3. Reflect on past decisions and strategies to refine your approach.

 

　　4. Every command has a cost, so be smart and efficient. Aim to complete tasks in the least number of steps.

 

　　You should only respond in JSON format as described below

 

　　Response Format:

 

　　{

 

　　"thoughts": {

 

　　"text": "thought",

 

　　"reasoning": "reasoning",

 

　　"plan": "- short bulleted\n- list that conveys\n- long-term plan",

 

　　"criticism": "constructive self-criticism",

 

　　"speak": "thoughts summary to say to user"

 

　　},

 

　　"command": {

 

　　"name": "command name",

 

　　"args": {

 

　　"arg name": "value"

 

　　}

 

　　}

 

　　}

 

　　Ensure the response can be parsed by Python json.loads

 

　　GPT-Engineer是另一個工程，它以自然語言描述的任務作為輸入，創(chuàng)建一個完整的代碼倉庫。GPT-Engineer被指示考慮一些待構建的小組件列表，并在必要的時候要求用戶澄清其問題。

 

　　下面是一個GPT-Engineer所使用的用于任務澄清的對話樣本，該樣本會發(fā)送給OpenAI ChatCompletion 終端。用戶輸入被包含在{{user input text}}格式中。

 

　　[

 

　　{

 

　　"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": "We are writing {{a Super Mario game in python. MVC components split in separate files. Keyboard control.}}\n"

 

　　},

 

　　{

 

　　"role": "assistant",

 

　　"content": "Summary of areas that need clarification:\n1. Specifics of the Super Mario game (e.g. level design, characters, gameplay mechanics)\n2. Details about the MVC components (e.g. which components are in each file)\n3. Keyboard control implementation (e.g. which keys to use, how to handle input)\n\nClarifying question:\nCan you provide more details about the Super Mario game, such as level design, characters, and gameplay mechanics?"

 

　　},

 

　　{

 

　　"role": "user",

 

　　"content": "{{There are 10 levels in total. The main character is a plumber named Mario, who can walk and jump. It is a classical platform game just like Super Mario. The main character moves from left to right, trying to get to the destination, where there are many obstacles and attacks from enemies in the process.}}\n\nIs anything else unclear? If yes, only answer in the form:\n{remaining unclear areas} remaining questions.\n{Next question}\nIf everything is sufficiently clear, only answer \"Nothing more to clarify.\"."

 

　　},

 

　　{

 

　　"role": "assistant",

 

　　"content": "Remaining unclear areas: 2 remaining questions.\nCan you provide more information about how the MVC components are split into separate files?"

 

　　},

 

　　{

 

　　"role": "user",

 

　　"content": "{{Make your own assumptions and state them explicitly before starting}}"

 

　　}

 

　　]

 

　　在這些澄清之后，智能體使用一個不同的系統(tǒng)消息來切換到代碼編輯模式。系統(tǒng)提示消息為：

 

　　You will get instructions for code to write. You will write a very long answer. Make sure that every detail of the architecture is, in the end, implemented as code. Make sure that every detail of the architecture is, in the end, implemented as code.

 

　　Think step by step and reason yourself to the right decisions to make sure we get it right. You 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.

 

　　Then you will output the content of each file including ALL code. Each file must strictly follow a markdown code block format, where the following tokens must be replaced such that FILENAME is the lowercase file name including the file extension, LANG is the markup code block language for the code’s language, and CODE is the code:

 

　　FILENAME

 

　　```

 

　　CODE

 

　　```

 

　　You will start with the “entrypoint” file, then go to the ones that are imported by that file, and so on. Please note that the code should be fully functional. No placeholders.

 

　　Follow a language and framework appropriate best practice file naming convention. Make sure that files contain all imports, types etc. Make sure that code in different files are compatible with each other. Ensure to implement all code, if you are unsure, write a plausible implementation. Include module dependency or package manager dependency definition file. Before you finish, double check that all parts of the architecture is present in the files.

 

　　Useful to know: You almost always put different classes in different files. For Python, you always create an appropriate requirements.txt file. For NodeJS, you always create an appropriate package.json file. You always add a comment briefly describing the purpose of the function definition. You try to add comments explaining very complex bits of logic. You always follow the best practices for the requested languages in terms of describing the code written as a defined package/project.

 

　　Python toolbelt preferences:

 

　　- pytest

 

　　- dataclasses

 

　　對話舉例：

 

　　[

 

　　{

 

　　"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.\nMake 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\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"

 

　　},

 

　　#  … same conversation as earlier, ended with "Make your own assumptions and state them explicitly before starting".

 

　　{

 

　　"role": "assistant",

 

　　"content": "Assumptions:\n1. Model: The model will contain the game's data, such as level information, character states, and enemy positions.\n2. View: The view will handle the game's visuals, including rendering the game objects, backgrounds, and updating the display.\n3. Controller: The controller will manage user input, such as keyboard controls, and update the model accordingly.\n\nWith these assumptions in mind, is there any specific aspect of the keyboard control implementation you would like me to clarify?"

 

　　},

 

　　{

 

　　"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"

 

　　}

 

　　]

 

　　挑戰(zhàn)

 

　　在對構建以LLM為中心的智能體的核心思想以及應用示范過了一遍之后，我發(fā)現(xiàn)一些局限性：

 

　　有限的上下文長度：上下文容量的局限會限制可以包含的歷史信息、細節(jié)指令、API調(diào)用上下文以及響應。系統(tǒng)的設計必須考慮工作在此通信帶寬限制之上。如果有更長的或者無限的上下文窗口，類似從過去錯誤中學習的自我反思之類的機制就可以收獲更大。雖然向量數(shù)據(jù)的存取與檢索可以提供一個更大的知識池，它們的表示能力還是無法和全注意力機制相提并論

 

　　長期規(guī)劃與任務分解中的挑戰(zhàn)：在一段跨度很長的歷史信息上進行規(guī)劃以及解決方案空間的高效探索都是非常具有挑戰(zhàn)性的。LLMs在面對異常錯誤的時候很難對規(guī)劃進行調(diào)整，這與從試錯中學習的人類相比還是遠不夠看

 

　　自然語言接口的可靠性：當前的智能系統(tǒng)還依賴于自然語言作為LLMs與外部組件（如記憶與工具）的接口。然而，模型輸出的可靠性還是一個問題。LLMs可能會犯格式化錯誤，并且偶爾也會犯?。ū热缇芙^遵循指令）。結果，大量的智能體示例都在重點關注如何轉(zhuǎn)換模型的輸出

 

　　引用

 

　　引用格式：

 

　　“

 

　　Weng, Lilian. (Jun 2023). LLM-powered Autonomous Agents". Lil’Log. https://lilianweng.github.io/posts/2023-06-23-agent/.

 

　　”

 

　　或者

 

　　@article{weng2023prompt,

 

　　title   = "LLM-powered Autonomous Agents"",

 

　　author  = "Weng, Lilian",

 

　　journal = "lilianweng.github.io",

 

　　year    = "2023",

 

　　month   = "Jun",

 

　　url     = "https://lilianweng.github.io/posts/2023-06-23-agent/"

 

　　}