update zhipu
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@ -90,9 +90,9 @@ LLM_MODEL = "gpt-3.5-turbo" # 可选 ↓↓↓
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AVAIL_LLM_MODELS = ["gpt-3.5-turbo-1106","gpt-4-1106-preview","gpt-4-vision-preview",
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"gpt-3.5-turbo-16k", "gpt-3.5-turbo", "azure-gpt-3.5",
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"gpt-4", "gpt-4-32k", "azure-gpt-4", "api2d-gpt-4",
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"gemini-pro", "chatglm3", "moss", "claude-2"]
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"gemini-pro", "chatglm3", "claude-2", "zhipuai"]
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# P.S. 其他可用的模型还包括 [
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# "qwen-turbo", "qwen-plus", "qwen-max"
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# "moss", "qwen-turbo", "qwen-plus", "qwen-max"
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# "zhipuai", "qianfan", "deepseekcoder", "llama2", "qwen-local", "gpt-3.5-turbo-0613",
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# "gpt-3.5-turbo-16k-0613", "gpt-3.5-random", "api2d-gpt-3.5-turbo", 'api2d-gpt-3.5-turbo-16k',
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# "spark", "sparkv2", "sparkv3", "chatglm_onnx", "claude-1-100k", "claude-2", "internlm", "jittorllms_pangualpha", "jittorllms_llama"
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@ -37,7 +37,8 @@ class ZhipuRequestInstance():
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break
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else:
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raise RuntimeError("Unknown error:" + str(event))
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if self.result_buf == "":
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yield "智谱没有返回任何数据, 请检查ZHIPUAI_API_KEY和ZHIPUAI_MODEL是否填写正确."
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logging.info(f'[raw_input] {inputs}')
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logging.info(f'[response] {self.result_buf}')
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return self.result_buf
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