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options: update_costs & calc_usage
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3 changed files with 18 additions and 8 deletions
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@ -61,4 +61,8 @@ SD_T2I_API: "/sdapi/v1/txt2img"
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#### for Mermaid CLI
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## If you installed mmdc (Mermaid CLI) only for metagpt then enable the following configuration.
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#PUPPETEER_CONFIG: "./config/puppeteer-config.json"
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#MMDC: "./node_modules/.bin/mmdc"
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#MMDC: "./node_modules/.bin/mmdc"
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### for update_costs & calc_usage
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UPDATE_COSTS: false
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CALC_USAGE: false
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@ -79,6 +79,10 @@ class Config(metaclass=Singleton):
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self.total_cost = 0.0
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self.puppeteer_config = self._get("PUPPETEER_CONFIG","")
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self.mmdc = self._get("MMDC","mmdc")
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self.update_costs = self._get("UPDATE_COSTS",True)
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self.calc_usage = self._get("CALC_USAGE",True)
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def _init_with_config_files_and_env(self, configs: dict, yaml_file):
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"""从config/key.yaml / config/config.yaml / env三处按优先级递减加载"""
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@ -221,10 +221,11 @@ class OpenAIGPTAPI(BaseGPTAPI, RateLimiter):
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def _calc_usage(self, messages: list[dict], rsp: str) -> dict:
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usage = {}
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prompt_tokens = count_message_tokens(messages, self.model)
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completion_tokens = count_string_tokens(rsp, self.model)
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usage['prompt_tokens'] = prompt_tokens
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usage['completion_tokens'] = completion_tokens
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if CONFIG.calc_usage:
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prompt_tokens = count_message_tokens(messages, self.model)
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completion_tokens = count_string_tokens(rsp, self.model)
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usage['prompt_tokens'] = prompt_tokens
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usage['completion_tokens'] = completion_tokens
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return usage
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async def acompletion_batch(self, batch: list[list[dict]]) -> list[dict]:
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@ -254,9 +255,10 @@ class OpenAIGPTAPI(BaseGPTAPI, RateLimiter):
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return results
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def _update_costs(self, usage: dict):
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prompt_tokens = int(usage['prompt_tokens'])
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completion_tokens = int(usage['completion_tokens'])
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self._cost_manager.update_cost(prompt_tokens, completion_tokens, self.model)
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if CONFIG.update_costs:
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prompt_tokens = int(usage['prompt_tokens'])
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completion_tokens = int(usage['completion_tokens'])
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self._cost_manager.update_cost(prompt_tokens, completion_tokens, self.model)
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def get_costs(self) -> Costs:
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return self._cost_manager.get_costs()
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