graph: id: MACNet_optimize_sub description: Code review and optional compile-run feedback loop for improvements. log_level: DEBUG is_majority_voting: false nodes: - id: Instructor Input type: literal config: content: |- According to the new user's task and our software designs: Task: Please refer to user input. Codes: Please refer to user input. As the reviewer, to make the software directly operable without further coding, we have formulated the following regulations: 1) all referenced classes should be imported; 2) all methods should be implemented; 3) all methods need to have the necessary comments; 4) no potential bugs; 5) The entire project conforms to the tasks proposed by the user; 6) use python as the programming language; 7) most importantly, do not only check the errors in the code, but also the logic of code. Make sure that user can interact with generated software without losing any feature in the requirement; Now, you should check the above regulations one by one and review the codes in detail, propose one comment with the highest priority about the codes, and give me instructions on how to fix. Tell me your comment with the highest priority and corresponding suggestions on revision. If the codes are perfect and you have no comment on them, return only one line like " Finished". You may use the compiler to check the errors in the code (only when necessary). Output 'compile()n' at the beginning of your comment to indicate that you are calling the compiler. Do not call the compiler if a feedback from the compiler and a 'pre_comments' are already given. Instead, eliminate the contradictions between them, paraphrase and combine them into one comment following the requirements above. role: user description: '' context_window: 0 - id: Start type: passthrough config: only_last_message: false description: '' context_window: 0 - id: Runner Passthrough type: passthrough config: only_last_message: false description: '' context_window: 0 - id: Instructor type: agent config: name: gpt-4o provider: openai role: |- According to the new user's task and our software designs: Task: Please Refer to user Input. Codes: Please Refer to user Input. As the reviewer, to make the software directly operable without further coding, we have formulated the following regulations: 1) all referenced classes should be imported; 2) all methods should be implemented; 3) all methods need to have the necessary comments; 4) no potential bugs; 5) The entire project conforms to the tasks proposed by the user; 6) use python as the programming language; 7) most importantly, do not only check the errors in the code, but also the logic of code. Make sure that user can interact with generated software without losing any feature in the requirement; Now, you should check the above regulations one by one and review the codes in detail, propose one comment with the highest priority about the codes, and give me instructions on how to fix. Tell me your comment with the highest priority and corresponding suggestions on revision. If the codes are perfect and you have no comment on them, return only one line like " Finished". You may use the compiler to check the errors in the code (only when necessary). Output 'compile()' at the beginning of your comment to indicate that you are calling the compiler. Do not call the compiler if a feedback from the compiler and a 'pre_comments' are already given. Instead, eliminate the contradictions between them, paraphrase and combine them into one comment following the requirements above. base_url: ${BASE_URL} api_key: ${API_KEY} params: {} tooling: null thinking: null memories: [] retry: null description: '' context_window: 0 - id: Instructor After Run Code type: agent config: name: gpt-4o provider: openai role: |- According to the new user's task and our software designs: Task: Please Refer to user Input. Codes: Please Refer to user Input. As the reviewer, to make the software directly operable without further coding, we have formulated the following regulations: 1) all referenced classes should be imported; 2) all methods should be implemented; 3) all methods need to have the necessary comments; 4) no potential bugs; 5) The entire project conforms to the tasks proposed by the user; 6) use python as the programming language; 7) most importantly, do not only check the errors in the code, but also the logic of code. Make sure that user can interact with generated software without losing any feature in the requirement; Now, you should check the above regulations one by one and review the codes in detail, propose one comment with the highest priority about the codes, and give me instructions on how to fix. Tell me your comment with the highest priority and corresponding suggestions on revision. If the codes are perfect and you have no comment on them, return only one line like " Finished". You may use the compiler to check the errors in the code (only when necessary). Output 'compile()' at the beginning of your comment to indicate that you are calling the compiler. Do not call the compiler if a feedback from the compiler and a 'pre_comments' are already given. Instead, eliminate the contradictions between them, paraphrase and combine them into one comment following the requirements above. base_url: ${BASE_URL} api_key: ${API_KEY} params: {} tooling: null thinking: null memories: [] retry: null description: '' context_window: 0 - id: Assistant type: agent config: name: gpt-4o provider: openai role: |- According to the new user's task, our designed product modality and languages, our developed first-edition source codes are listed below: Task: Please refer to user input. Codes: Please refer to user input. Language: python Comments on Codes: Please refer to user input, maybe empty. In the software, 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, "LANGUAGE" in the programming language, "DOCSTRING" is a string literal specified in source code that is used to document a specific segment of code, and "CODE" is the original code. Format: FILENAME ```LANGUAGE ''' DOCSTRING ''' CODE ``` As the programmer, to satisfy the new user's demand and make the software creative, executive and robust, you should modify corresponding codes according to the comments. Then, output the full and complete codes with all bugs fixed based on the comments. Return all codes strictly following the required format.DO NOT output any explanation or clarification.DO NOT output characters('#','/',etc.) before any token.OUTPUT executable codes instead of 'pass' or '...'. Remember, ALL of your code files should end with '.py'. Keep in mind, a file named 'main.py' should ALWAYS be included your solution. base_url: ${BASE_URL} api_key: ${API_KEY} params: {} tooling: null thinking: null memories: [] retry: null description: '' context_window: 0 - id: Judge Include Code type: passthrough config: only_last_message: false description: '' context_window: 0 edges: - from: Instructor Input to: Instructor trigger: true condition: 'true' carry_data: true keep_message: false clear_context: false clear_kept_context: false process: null - from: Instructor to: Runner Passthrough trigger: true condition: type: keyword config: any: - compile() none: [] regex: [] case_sensitive: true carry_data: false keep_message: false clear_context: false clear_kept_context: false process: null - from: Runner Passthrough to: Instructor After Run Code trigger: true condition: 'true' carry_data: true keep_message: false clear_context: false clear_kept_context: false process: type: function config: name: code_save_and_run - from: Instructor to: Assistant trigger: true condition: type: keyword config: any: [] none: - compile() regex: [] case_sensitive: true carry_data: true keep_message: false clear_context: false clear_kept_context: false process: null - from: Start to: Instructor trigger: false condition: 'true' carry_data: true keep_message: false clear_context: false clear_kept_context: false process: null - from: Instructor After Run Code to: Assistant trigger: true condition: 'true' carry_data: true keep_message: false clear_context: false clear_kept_context: false process: null - from: Start to: Instructor After Run Code trigger: false condition: 'true' carry_data: true keep_message: false clear_context: false clear_kept_context: false process: null - from: Start to: Assistant trigger: false condition: 'true' carry_data: true keep_message: false clear_context: false clear_kept_context: false process: null - from: Start to: Judge Include Code trigger: true condition: 'true' carry_data: true keep_message: false clear_context: false clear_kept_context: false process: null - from: Judge Include Code to: Instructor Input trigger: true condition: type: keyword config: any: - '```' none: [] regex: [] case_sensitive: true carry_data: false keep_message: false clear_context: false clear_kept_context: false process: null - from: Judge Include Code to: Assistant trigger: true condition: type: keyword config: any: [] none: - '```' regex: [] case_sensitive: true carry_data: false keep_message: false clear_context: false clear_kept_context: false process: null - from: Instructor to: Instructor After Run Code trigger: false condition: null carry_data: true keep_message: false clear_context: false clear_kept_context: false process: null memory: [] initial_instruction: '' start: - Start end: [] version: 0.0.0 vars: {}