feat(aibox): batch D multi-model profiles + docs
- models 配置节:多 OpenAI Chat Completions 兼容端点按档案名切换,默认空 dict 零破坏回退旧 api 节 - --model 双语义:档案名(命中 models 节完整采用)/ 裸模型名(同端点换模型) - resolve_api_key 档案级 env 三级语义:未配置回退 api.api_key_env / 显式名称 / 空串免密(Ollama/vLLM) - 档案级 reasoning_enabled 附加 client 属性,DeepSeekChat._reasoning_enabled 优先读取 - llm_client 增加 openai_compatible/openai provider 别名 - README 更新:aibox/README 六处(特性/配置/多模型档案专节/CLI 参数/更新日志 v3.2/测试计数 264)+ 根 README aibox 小节 - 单测 17 项新增(test_models_profile.py),全套 264 项全过
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@@ -64,14 +64,36 @@ class ConfigManager:
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# 大模型调用接口
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"api": {
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"provider": "openai_compatible", # 提供商:deepseek / openai_compatible(OpenAI Chat Completions 协议兼容)
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"deepseek_api_url": "https://api.deepseek.com/chat/completions", # deepseek API URL
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"deepseek_model": "deepseek-v4-flash", # 模型名字
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"reasoning_enabled": False, # 开启思维链
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"api_key_env": "DEEPSEEK_API_KEY", # API-KEY所在的环境变量
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"timeout": 120, # 调用大模型请求超时时间
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"temperature": 0.7 # 大模型对话温度(类似思维发散程度)
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"temperature": 0.7, # 大模型对话温度(类似思维发散程度)
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"default_model": "deepseek" # 默认模型档案名(对应 models 节的 key)
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},
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# 多模型档案:可配置多个 OpenAI Chat Completions 兼容端点,按名称选择
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# 示例(在 ~/.aibox/config.json 中添加):
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# "models": {
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# "kimi": {
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# "api_url": "https://api.moonshot.cn/v1/chat/completions",
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# "model": "kimi-k2",
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# "api_key_env": "MOONSHOT_API_KEY", # 未配置回退 api.api_key_env;空串 "" 为免密端点
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# "reasoning_enabled": false,
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# "timeout": 120
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# },
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# "local": {
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# "api_url": "http://localhost:11434/v1/chat/completions",
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# "model": "qwen3:32b",
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# "api_key_env": ""
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# }
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# }
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# 选择优先级:--model <档案名> > api.default_model > 回退旧 api 扁平节。
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# 默认留空:用户未配置档案时走旧 api 节(零破坏)。
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"models": {},
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# 大模型上下文
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"context": {
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"max_history_messages": 500, # 最大历史消息数量
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