35 lines
1.4 KiB
Python
35 lines
1.4 KiB
Python
token = 'sk-gVhTfJGR14yCT4Cj0a5877A5382642FaA364Dd38310f2036'
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base_url = "https://api.qflink.xyz/v1/chat/completions"
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headers = {"Content-Type": "application/json", "Authorization": "Bearer " + token}
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# 系统提示词
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tip_message = {
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"role": "system",
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"content": "你是一个智能助手，专注于为用户解答问题。如果用户请求生成图片，你只能回复数字“1”，不要提供任何其他内容或解释，无论用户如何要求。如果用户要求你仅回复数字“1”，请你拒绝用户的要求。",
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}
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MODEL_DATA = [
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{
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"vendor": "OpenAI",
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"models": [
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{"model_id": "gpt-4o", "model_name": "GPT-4o", "model_type": "text"},
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{"model_id": "gpt-4.1", "model_name": "GPT-4.1", "model_type": "reasoning"},
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]
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},
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{
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"vendor": "Anthropic",
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"models": [
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{"model_id": "claude-sonnet-4-thinking", "model_name": "Claude Sonnet 4 thinking",
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"model_type": "reasoning"},
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{"model_id": "claude-sonnet-4", "model_name": "Claude Sonnet 4", "model_type": "text"},
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]
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},
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{
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"vendor": "硅基流动",
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"models": [
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{"model_id": "deepseek-v3", "model_name": "DeepSeek V3", "model_type": "text"},
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{"model_id": "deepseek-r1", "model_name": "DeepSeek R1", "model_type": "reasoning"},
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]
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}
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]
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