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53 lines
2.2 KiB
Python
53 lines
2.2 KiB
Python
# 插件文档地址: https://asf.viperrtp.com/zh/asf/PLUGINS/LLM/
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# get_model(tag="xxx") 会按顺序查找并使用第一个包含 "xxx" 标签的配置。tag可以自由定制.
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# 如果不提供 tag，则默认使用列表中的第一个配置。
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# ASF中正在使用的tag "cheap","fast","powerful","function_calling","structured_output"
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# Doc: https://asf.viperrtp.com/asf/PLUGINS/LLM/
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# `get_model(tag="xxx")` will search for and use the first configuration containing the tag "xxx" in order. The tag can be customized.
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# If no tag is provided, the first configuration in the list will be used by default.
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# Tags currently used in ASF: "cheap", "fast", "powerful", "function_calling", "structured_output"
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LLM_CONFIGS = [
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{
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"type": "ollama",
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"api_key": "ollama", # 对于 ollama，api_key 通常是 'ollama'
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"base_url": "http://192.168.241.128:8080/v1",
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"model": "qwen2:7b-instruct-q8_0",
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"proxy": None,
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"tags": ["cheap", "fast"]
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},
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{
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"type": "openai",
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"api_key": "sk-XXXXXXXXXXXXXX",
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"base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
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"model": "qwen3-max",
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"proxy": None,
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"tags": ["powerful", "function_calling", "structured_output"]
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},
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{
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"type": "openai",
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"api_key": 'AIXXXX',
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"base_url": "https://generativelanguage.googleapis.com/v1beta/openai/",
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"model": "gemini-2.5-flash",
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"proxy": "http://127.0.0.1:7890", # "http://192.168.1.100:3128", # 示例代理
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"tags": ["fast", "function_calling", "structured_output"]
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},
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{
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"type": "openai",
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"api_key": 'AIXXXX',
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"base_url": "https://generativelanguage.googleapis.com/v1beta/openai/",
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"model": "gemini-2.5-pro",
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"proxy": "http://127.0.0.1:7890", # "http://192.168.1.100:3128", # 示例代理
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"tags": ["powerful", "function_calling", "structured_output"]
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},
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{
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"type": "openai",
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"api_key": 'sk-XXXXXXXXXXXXXX',
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"base_url": "https://api.moonshot.cn/v1",
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"model": "kimi-k2-0905-preview",
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"proxy": None,
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"tags": ["fast", "cheap", "function_calling", "structured_output"]
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}
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]
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