136 lines
10 KiB
Plaintext
136 lines
10 KiB
Plaintext
2024-11-26 19:20:11.404 | INFO | agentscope.models:read_model_configs:186 - Load configs for model wrapper: openai_cfg
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2024-11-26 19:20:54.537 | INFO | agentscope.models.model:__init__:201 - Initialize model by configuration [openai_cfg]
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2024-11-26 19:20:54.558 | WARNING | agentscope.models.openai_model:__init__:83 - fail to get max_length for gpt-4o-mini: 'Model [gpt-4o-mini] not found in OPENAI_MAX_LENGTH. The last updated date is 20231212'
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2024-11-26 19:20:54.559 | INFO | agentscope.utils.monitor:register_budget:609 - set budget None to gpt-4o-mini
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2024-11-26 19:20:54.559 | WARNING | agentscope.utils.monitor:register_budget:639 - Calculate budgets for model [gpt-4o-mini] is not supported
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2024-11-26 19:20:54.574 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.call_counter] to SqliteMonitor with unit [times] and quota [None]
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2024-11-26 19:20:54.597 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.prompt_tokens] to SqliteMonitor with unit [token] and quota [None]
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2024-11-26 19:20:54.625 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.completion_tokens] to SqliteMonitor with unit [token] and quota [None]
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2024-11-26 19:20:54.652 | INFO | agentscope.utils.monitor:register:417 - Register metric [gpt-4o-mini.total_tokens] to SqliteMonitor with unit [token] and quota [None]
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assistant: ##################### ITER 1, STEP 1: REASONING ######################
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system: ## Tool Functions:
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The following tool functions are available in the format of
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```
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{index}. {function name}: {function description}
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{argument1 name} ({argument type}): {argument description}
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{argument2 name} ({argument type}): {argument description}
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...
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```
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1. record: Call it to save some important info for other chapters. Like file path, function call example.
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content (string): The content to be recorded.
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2. next_chapter: Call it to go to next chapter.
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system: Respond a JSON dictionary in a markdown's fenced code block as follows:
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```json
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{"thought": "what you thought", "speak": "what you speak", "function": "[{\"name\": \"{function name}\", \"arguments\": {\"{argument1 name}\": xxx, \"{argument2 name}\": xxx}}]"}
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```
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####
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assistant: ################################Prompt################################
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assistant: hi
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assistant: ############################Result Parsed#############################
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assistant: {'thought': 'The student has just arrived, and I need to focus on Chapter 1 about binary search and not diverge into other topics.', 'speak': "Welcome! Let's focus on the first chapter about binary search. Do you want to solve the question regarding the guessing game? How many guesses would you need for a range of 1 to 4000?", 'function': []}
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assistant: ################################Speak#################################
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assistant: {'thought': 'The student has just arrived, and I need to focus on Chapter 1 about binary search and not diverge into other topics.', 'speak': "Welcome! Let's focus on the first chapter about binary search. Do you want to solve the question regarding the guessing game? How many guesses would you need for a range of 1 to 4000?", 'function': []}
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assistant: ##################### ITER 1, STEP 1: REASONING ######################
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system: ## Tool Functions:
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The following tool functions are available in the format of
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```
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{index}. {function name}: {function description}
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{argument1 name} ({argument type}): {argument description}
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{argument2 name} ({argument type}): {argument description}
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...
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```
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1. record: Call it to save some important info for other chapters. Like file path, function call example.
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content (string): The content to be recorded.
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2. next_chapter: Call it to go to next chapter.
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system: Respond a JSON dictionary in a markdown's fenced code block as follows:
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```json
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{"thought": "what you thought", "speak": "what you speak", "function": "[{\"name\": \"{function name}\", \"arguments\": {\"{argument1 name}\": xxx, \"{argument2 name}\": xxx}}]"}
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```
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####
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assistant: ################################Prompt################################
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assistant: 用中文交流
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assistant: ############################Result Parsed#############################
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assistant: {'thought': '学生希望用中文交流，我要用中文与他沟通，并且专注于第一章的内容。', 'speak': '好的，我们用中文交流！你想解决关于猜数字的问题吗？如果区间是1到4000，最差情况下需要猜几次呢？', 'function': []}
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assistant: ################################Speak#################################
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assistant: {'thought': '学生希望用中文交流，我要用中文与他沟通，并且专注于第一章的内容。', 'speak': '好的，我们用中文交流！你想解决关于猜数字的问题吗？如果区间是1到4000，最差情况下需要猜几次呢？', 'function': []}
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assistant: ##################### ITER 1, STEP 1: REASONING ######################
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system: ## Tool Functions:
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The following tool functions are available in the format of
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```
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{index}. {function name}: {function description}
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{argument1 name} ({argument type}): {argument description}
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{argument2 name} ({argument type}): {argument description}
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...
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```
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1. record: Call it to save some important info for other chapters. Like file path, function call example.
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content (string): The content to be recorded.
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2. next_chapter: Call it to go to next chapter.
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system: Respond a JSON dictionary in a markdown's fenced code block as follows:
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```json
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{"thought": "what you thought", "speak": "what you speak", "function": "[{\"name\": \"{function name}\", \"arguments\": {\"{argument1 name}\": xxx, \"{argument2 name}\": xxx}}]"}
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```
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####
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assistant: ################################Prompt################################
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assistant: 13次
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assistant: ############################Result Parsed#############################
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assistant: {'thought': '学生的回答可能不正确，应该引导他进行思考并给出提示。', 'speak': '你的答案是13次，但实际上我们可以对照二分查找的过程来验证这个推理。想一想，猜测的区间每次都是如何缩小的。你能再计算一下吗？', 'function': []}
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assistant: ################################Speak#################################
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assistant: {'thought': '学生的回答可能不正确，应该引导他进行思考并给出提示。', 'speak': '你的答案是13次，但实际上我们可以对照二分查找的过程来验证这个推理。想一想，猜测的区间每次都是如何缩小的。你能再计算一下吗？', 'function': []}
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assistant: ##################### ITER 1, STEP 1: REASONING ######################
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system: ## Tool Functions:
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The following tool functions are available in the format of
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```
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{index}. {function name}: {function description}
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{argument1 name} ({argument type}): {argument description}
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{argument2 name} ({argument type}): {argument description}
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...
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```
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1. record: Call it to save some important info for other chapters. Like file path, function call example.
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content (string): The content to be recorded.
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2. next_chapter: Call it to go to next chapter.
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system: Respond a JSON dictionary in a markdown's fenced code block as follows:
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```json
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{"thought": "what you thought", "speak": "what you speak", "function": "[{\"name\": \"{function name}\", \"arguments\": {\"{argument1 name}\": xxx, \"{argument2 name}\": xxx}}]"}
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```
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####
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assistant: ################################Prompt################################
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assistant: 每次二分都是排除一半的可能性，所以是log4000=12，最后多一次猜测
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assistant: ############################Result Parsed#############################
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assistant: {'thought': '学生已经意识到每次二分能排除一半的可能性，并得出猜测次数的公式，我应该鼓励他并记录他的想法。', 'speak': '很好，你计算得很正确！确实是12次猜测加上最后一次，最多需要13次。你现在对二分查找方法有更深刻的理解了！接下来，我们要进入下一章吗？', 'function': [{'name': 'record', 'arguments': {'content': '学生理解了二分查找的原理，并正确计算出了1到4000区间的最差猜测次数为13次。'}}]}
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assistant: ################################Speak#################################
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assistant: {'thought': '学生已经意识到每次二分能排除一半的可能性，并得出猜测次数的公式，我应该鼓励他并记录他的想法。', 'speak': '很好，你计算得很正确！确实是12次猜测加上最后一次，最多需要13次。你现在对二分查找方法有更深刻的理解了！接下来，我们要进入下一章吗？', 'function': [{'name': 'record', 'arguments': {'content': '学生理解了二分查找的原理，并正确计算出了1到4000区间的最差猜测次数为13次。'}}]}
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assistant: ##################### ITER 1, STEP 1: REASONING ######################
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system: ## Tool Functions:
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The following tool functions are available in the format of
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```
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{index}. {function name}: {function description}
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{argument1 name} ({argument type}): {argument description}
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{argument2 name} ({argument type}): {argument description}
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...
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```
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1. record: Call it to save some important info for other chapters. Like file path, function call example.
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content (string): The content to be recorded.
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2. next_chapter: Call it to go to next chapter.
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||
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system: Respond a JSON dictionary in a markdown's fenced code block as follows:
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```json
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{"thought": "what you thought", "speak": "what you speak", "function": "[{\"name\": \"{function name}\", \"arguments\": {\"{argument1 name}\": xxx, \"{argument2 name}\": xxx}}]"}
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```
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####
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assistant: ################################Prompt################################
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assistant: 好的 ，进入下一章
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assistant: ############################Result Parsed#############################
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assistant: {'thought': '学生准备进入下一章，我需要调用函数进行章节切换。', 'speak': '好的，我们现在进入下一章！', 'function': '[{"name": "next_chapter", "arguments": {}}]'}
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assistant: ################################Speak#################################
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assistant: {'thought': '学生准备进入下一章，我需要调用函数进行章节切换。', 'speak': '好的，我们现在进入下一章！', 'function': '[{"name": "next_chapter", "arguments": {}}]'}
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