23 lines
2.6 KiB
Plaintext
23 lines
2.6 KiB
Plaintext
2024-11-23 16:45:22.355 | INFO | agentscope.models:read_model_configs:186 - Load configs for model wrapper: openai_cfg
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2024-11-23 16:45:31.351 | INFO | agentscope.models.model:__init__:201 - Initialize model by configuration [openai_cfg]
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2024-11-23 16:45:31.371 | 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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2024-11-23 16:45:31.372 | INFO | agentscope.utils.monitor:register_budget:609 - set budget None to gpt-4o-mini
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2024-11-23 16:45:31.372 | WARNING | agentscope.utils.monitor:register_budget:639 - Calculate budgets for model [gpt-4o-mini] is not supported
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2024-11-23 16:45:31.386 | 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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2024-11-23 16:45:31.408 | 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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2024-11-23 16:45:31.431 | 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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2024-11-23 16:45:31.452 | 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:
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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 seems to be greeting me but hasn't yet asked a question related to the current chapter on binary search. I should encourage them to engage with the material.", 'speak': 'Hello! How can I assist you with your understanding of binary search today?', 'function': '[]'}
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assistant: ################################Speak#################################
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assistant: {'thought': "The student seems to be greeting me but hasn't yet asked a question related to the current chapter on binary search. I should encourage them to engage with the material.", 'speak': 'Hello! How can I assist you with your understanding of binary search today?', 'function': '[]'}
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