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Merge branch 'ZhuLinsen:main' into main
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‎.codex‎

Whitespace-only changes.

‎.env.example‎

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@@ -8,6 +8,17 @@
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# 深市：000xxx, 002xxx, 300xxx
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STOCK_LIST=600519,300750,002594
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# Anspire Open API Keys（支持多个，逗号分隔）
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# 获取: https://open.anspire.cn/?share_code=QFBC0FYC
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# 在未配置更高优先级 OpenAI-compatible 来源时，满足条件可复用该 key 给 Anspire 大模型网关与新闻搜索。
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# 下列网关与模型为当前项目示例配置；是否可用请以 Anspire 控制台与官方文档为准：
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# 示例网关： https://open-gateway.anspire.cn/v6
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# 示例模型：Doubao-Seed-2.0-lite（可覆盖为 ANSPIRE_LLM_MODEL=Doubao-Seed-2.0-pro）
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# 若网关有区域/版本差异，可覆盖为 ANSPIRE_LLM_BASE_URL=https://open-gateway.anspire.ai/v6
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ANSPIRE_API_KEYS=
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# ANSPIRE_LLM_MODEL=Doubao-Seed-2.0-lite
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# ANSPIRE_LLM_BASE_URL=https://open-gateway.anspire.cn/v6
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# ANSPIRE_LLM_ENABLED=true
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# 数据源配置
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# Tushare Pro Token（可选，从 https://tushare.pro/weborder/#/login?reg=834638 获取）
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TUSHARE_TOKEN=
@@ -44,6 +55,7 @@ TUSHARE_TOKEN=
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# 完整说明：docs/LLM_CONFIG_GUIDE.md
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#
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# 【快速上手】填一个 API Key 即可运行，系统自动识别模型。
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# Anspire Open（一站式模型+搜索）→ 填 ANSPIRE_API_KEYS
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# Gemini（免费额度）→ 填 GEMINI_API_KEY
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# DeepSeek（性价比高）→ 填 DEEPSEEK_API_KEY
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# AIHubmix（聚合平台）→ 填 AIHUBMIX_KEY
@@ -86,7 +98,7 @@ GEMINI_API_KEY=
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# - Moonshot API / 模型文档：https://platform.kimi.ai/docs/guide/kimi-k2-6-quickstart
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# - Moonshot 官方模型卡（评测默认 temperature = 1.0）：https://huggingface.co/moonshotai/Kimi-K2.6
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# - LiteLLM OpenAI-Compatible 规范：https://docs.litellm.ai/docs/providers/openai_compatible
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# 当前仓库运行时依赖窗口：litellm>=1.80.10,<1.82.7（见 requirements.txt），本次兼容修复按该范围验证。
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# 当前仓库运行时依赖约束：litellm>=1.80.10,!=1.82.7,!=1.82.8,<2.0.0（显式排除 PyPI 事故版本，见 requirements.txt）。
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# 因此 kimi-k2.6 会自动改用 1.0，避免 API 拒绝请求；其他模型和 fallback 仍使用你配置的 LLM_TEMPERATURE。
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# Web 设置页 / 桌面端导入不会静默清空或改写 LLM_TEMPERATURE；只在真正发请求前按 Kimi 要求临时归一化。
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# 如果主模型切回非 Kimi，原本配置的温度会自动恢复；最小回滚方式是回退本次 Kimi 固定温度改动。
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# LLM_DEEPSEEK_BASE_URL=https://api.deepseek.com
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# LLM_DEEPSEEK_MODELS=deepseek-v4-flash,deepseek-v4-pro
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# LLM_GEMINI_API_KEYS=key1,key2
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# LLM_GEMINI_MODELS=gemini-2.5-flash
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# LLM_GEMINI_MODELS=gemini-3.1-pro-preview
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#
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# 示例：自定义 API 端点（第三方代理 / 聚合平台 / 转发站）
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# LLM_CHANNELS=my_proxy
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# LLM_MY_PROXY_BASE_URL=https://your-proxy.example.com/v1
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# LLM_MY_PROXY_API_KEY=sk-xxx
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# LLM_MY_PROXY_MODELS=gpt-4o-mini,claude-3-5-sonnet
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# LLM_MY_PROXY_MODELS=gpt-5.5,claude-sonnet-4-6
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# LLM_MY_PROXY_PROTOCOL=openai
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#
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# 示例：Ollama 本地模型（无需 API Key）
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# LLM_CHANNELS=ollama
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# LLM_OLLAMA_BASE_URL=http://localhost:11434
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# LLM_OLLAMA_MODELS=qwen3:8b,llama3.2
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# 高级：模型路由 YAML 配置（可选，参考 litellm_config.example.yaml）
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#
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# 常用厂商模板（任选其一复制到 .env；完整说明见 docs/llm-providers.md）
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#
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# Anspire Open（共享搜索与 LLM Key，OpenAI Compatible）
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# LLM_CHANNELS=anspire
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# LLM_ANSPIRE_PROTOCOL=openai
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# LLM_ANSPIRE_BASE_URL=https://open-gateway.anspire.cn/v6（示例）
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# LLM_ANSPIRE_API_KEY=sk-xxx
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# LLM_ANSPIRE_MODELS=Doubao-Seed-2.0-lite,Doubao-Seed-2.0-pro（示例模型）
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# LITELLM_MODEL=openai/Doubao-Seed-2.0-lite（示例）
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#
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# AIHubmix 聚合平台（OpenAI Compatible）
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# LLM_CHANNELS=aihubmix
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# LLM_AIHUBMIX_PROTOCOL=openai
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# LLM_AIHUBMIX_BASE_URL=https://aihubmix.com/v1
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# LLM_AIHUBMIX_API_KEY=sk-xxx
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# LLM_AIHUBMIX_MODELS=gpt-5.5,claude-sonnet-4-6,gemini-3.1-pro-preview
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# LITELLM_MODEL=openai/gpt-5.5
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#
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# OpenAI 官方
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# LLM_CHANNELS=openai
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# LLM_OPENAI_PROTOCOL=openai
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# LLM_OPENAI_BASE_URL=https://api.openai.com/v1
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# LLM_OPENAI_API_KEY=sk-xxx
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# LLM_OPENAI_MODELS=gpt-5.5,gpt-5.4-mini
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# LITELLM_MODEL=openai/gpt-5.5
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#
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# DeepSeek 官方
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# LLM_CHANNELS=deepseek
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# LLM_DEEPSEEK_PROTOCOL=deepseek
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# LLM_DEEPSEEK_BASE_URL=https://api.deepseek.com
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# LLM_DEEPSEEK_API_KEY=sk-xxx
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# LLM_DEEPSEEK_MODELS=deepseek-v4-flash,deepseek-v4-pro
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# LITELLM_MODEL=deepseek/deepseek-v4-flash
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#
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# Gemini 官方（官方协议，Base URL 留空）
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# LLM_CHANNELS=gemini
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# LLM_GEMINI_PROTOCOL=gemini
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# LLM_GEMINI_API_KEY=xxx
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# LLM_GEMINI_MODELS=gemini-3.1-pro-preview,gemini-3-flash-preview
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# LITELLM_MODEL=gemini/gemini-3.1-pro-preview
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#
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# Anthropic Claude 官方（官方协议，Base URL 留空）
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# LLM_CHANNELS=anthropic
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# LLM_ANTHROPIC_PROTOCOL=anthropic
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# LLM_ANTHROPIC_API_KEY=sk-ant-xxx
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# LLM_ANTHROPIC_MODELS=claude-sonnet-4-6,claude-opus-4-7
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# LITELLM_MODEL=anthropic/claude-sonnet-4-6
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#
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# Kimi / Moonshot（OpenAI Compatible）
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# LLM_CHANNELS=moonshot
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# LLM_MOONSHOT_PROTOCOL=openai
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# LLM_MOONSHOT_BASE_URL=https://api.moonshot.cn/v1
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# LLM_MOONSHOT_API_KEY=sk-xxx
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# LLM_MOONSHOT_MODELS=kimi-k2.6,kimi-k2.5
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# LITELLM_MODEL=openai/kimi-k2.6
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#
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# 通义千问 DashScope（OpenAI Compatible）
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# LLM_CHANNELS=dashscope
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# LLM_DASHSCOPE_PROTOCOL=openai
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# LLM_DASHSCOPE_BASE_URL=https://dashscope.aliyuncs.com/compatible-mode/v1
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# LLM_DASHSCOPE_API_KEY=sk-xxx
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# LLM_DASHSCOPE_MODELS=qwen3.6-plus,qwen3.6-flash
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# LITELLM_MODEL=openai/qwen3.6-plus
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#
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# 智谱 GLM（OpenAI Compatible）
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# LLM_CHANNELS=zhipu
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# LLM_ZHIPU_PROTOCOL=openai
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# LLM_ZHIPU_BASE_URL=https://open.bigmodel.cn/api/paas/v4
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# LLM_ZHIPU_API_KEY=xxx
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# LLM_ZHIPU_MODELS=glm-5.1,glm-4.7-flash
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# LITELLM_MODEL=openai/glm-5.1
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#
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# MiniMax（OpenAI Compatible）
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# 来源：官方 OpenAI API 兼容文档 https://platform.minimax.io/docs/api-reference/text-chat
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# LiteLLM 通过 openai/<model> 路由到兼容 Chat Completions 的 Base URL。
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# LLM_CHANNELS=minimax
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# LLM_MINIMAX_PROTOCOL=openai
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# LLM_MINIMAX_BASE_URL=https://api.minimax.io/v1
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# LLM_MINIMAX_API_KEY=xxx
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# LLM_MINIMAX_MODELS=MiniMax-M2.7,MiniMax-M2.7-highspeed
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# LITELLM_MODEL=openai/MiniMax-M2.7
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#
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# 火山方舟 / 豆包（OpenAI Compatible，按实际开通地域调整 endpoint）
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# 来源：火山方舟在线推理 / Responses API 文档 https://www.volcengine.com/docs/82379/2121998
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# LiteLLM 通过 openai/<model> 路由到兼容 Chat Completions 的 Base URL。
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# LLM_CHANNELS=volcengine
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# LLM_VOLCENGINE_PROTOCOL=openai
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# LLM_VOLCENGINE_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
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# LLM_VOLCENGINE_API_KEY=xxx
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# LLM_VOLCENGINE_MODELS=doubao-seed-1-6-251015,doubao-seed-1-6-thinking-251015
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# LITELLM_MODEL=openai/doubao-seed-1-6-251015
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#
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# 硅基流动 SiliconFlow（OpenAI Compatible）
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# 来源：官方模型列表 https://docs.siliconflow.cn/quickstart/models
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# LLM_CHANNELS=siliconflow
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# LLM_SILICONFLOW_PROTOCOL=openai
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# LLM_SILICONFLOW_BASE_URL=https://api.siliconflow.cn/v1
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# LLM_SILICONFLOW_API_KEY=sk-xxx
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# LLM_SILICONFLOW_MODELS=deepseek-ai/DeepSeek-V3.2,Qwen/Qwen3-235B-A22B-Thinking-2507
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# LITELLM_MODEL=openai/deepseek-ai/DeepSeek-V3.2
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#
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# OpenRouter（OpenAI Compatible）
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# 来源：官方 Models API https://openrouter.ai/docs/api/api-reference/models/get-models
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# LLM_CHANNELS=openrouter
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# LLM_OPENROUTER_PROTOCOL=openai
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# LLM_OPENROUTER_BASE_URL=https://openrouter.ai/api/v1
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# LLM_OPENROUTER_API_KEY=sk-or-xxx
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# LLM_OPENROUTER_MODELS=~anthropic/claude-sonnet-latest,~openai/gpt-latest
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# LITELLM_MODEL=openai/~anthropic/claude-sonnet-latest
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# 高级：模型路由 YAML 配置（可选，参考 docs/examples/litellm_config.example.yaml）
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# LITELLM_CONFIG=./litellm_config.yaml
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# ===================================
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# 搜索引擎配置（用于获取股票新闻）
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# ===================================
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#Anspire Search API Keys （支持多个，逗号分隔）
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# 获取: https://aisearch.anspire.cn/
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ANSPIRE_API_KEYS=
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# Bocha API Keys（中文搜索优化，支持AI摘要，支持多个，逗号分隔）
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# 获取: https://open.bocha.cn/
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# BOCHA_API_KEYS=your_bocha_key_here
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# MiniMax API Key（Coding Plan Web Search，支持多个，逗号分隔）
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# 获取: https://platform.minimaxi.com/
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# 获取: https://platform.minimax.io/
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# MINIMAX_API_KEYS=your_minimax_key_here
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# Tavily API Keys（支持多个，逗号分隔）
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TAVILY_API_KEYS=
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# 策略路由模式（auto=根据市场状态自动选择 / manual=使用 AGENT_SKILLS 列表）
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# AGENT_SKILL_ROUTING=auto
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# 事件告警监控（schedule 模式后台轮询；触发后复用已配置通知渠道）
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# 兼容性说明：本节仅新增告警规则配置，不会修改模型名、provider、Base URL、LiteLLM 或 LLM 配置语义；回退只需关闭/移除事件监控配置。
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# 支持规则：
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# price_cross — 价格突破阈值，direction: above / below，字段: price
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# price_change_percent — 涨跌幅阈值，direction: up / down，字段: change_pct（单位：%）
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# volume_spike — 成交量放大，字段: multiplier（相对近 20 日均量倍数）
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# AGENT_EVENT_MONITOR_ENABLED=false
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# AGENT_EVENT_MONITOR_INTERVAL_MINUTES=5
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# AGENT_EVENT_ALERT_RULES_JSON=[{"stock_code":"600519","alert_type":"price_cross","direction":"above","price":1800},{"stock_code":"300750","alert_type":"price_change_percent","direction":"down","change_pct":3.0},{"stock_code":"000858","alert_type":"volume_spike","multiplier":2.5}]
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# ===================================
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# 通知渠道配置（可同时配置多个，全部推送）
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# ===================================
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#
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# CUSTOM_WEBHOOK_URLS=https://oapi.dingtalk.com/robot/send?access_token=xxx,https://hooks.slack.com/services/xxx
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# CUSTOM_WEBHOOK_BEARER_TOKEN= # 可选，用于需要认证的 Webhook (Header Authorization: Bearer <token>)
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# CUSTOM_WEBHOOK_BODY_TEMPLATE= # 可选，JSON body 模板；支持 $content_json/$content/$title_json/$title
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# WEBHOOK_VERIFY_SSL=true # 默认校验。设为 false 可支持自签名证书。警告：禁用后存在 MITM 劫持风险，仅限可信内网
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#
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# 【方式六】Pushover 配置
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# 注册Server酱3账号并获取SendKey https://sc3.ft07.com/
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# SERVERCHAN3_SENDKEY=
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#
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# 【方式十一】AstrBot 配置
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# ASTRBOT_URL=
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# ASTRBOT_TOKEN= # 可选，用于需要 Bearer Token 的 AstrBot Webhook
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#
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# 【高级配置】消息长度限制（字节）
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# 超过限制会自动分批发送，一般无需修改
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# FEISHU_MAX_BYTES=20000 # 飞书限制约 20KB，默认 20000 字节

‎.github/workflows/daily_analysis.yml‎

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@@ -140,6 +140,14 @@ jobs:
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LLM_AIHUBMIX_ENABLED: ${{ vars.LLM_AIHUBMIX_ENABLED || secrets.LLM_AIHUBMIX_ENABLED }}
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LLM_AIHUBMIX_EXTRA_HEADERS: ${{ vars.LLM_AIHUBMIX_EXTRA_HEADERS || secrets.LLM_AIHUBMIX_EXTRA_HEADERS }}
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LLM_ANSPIRE_PROTOCOL: ${{ vars.LLM_ANSPIRE_PROTOCOL || secrets.LLM_ANSPIRE_PROTOCOL }}
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LLM_ANSPIRE_BASE_URL: ${{ vars.LLM_ANSPIRE_BASE_URL || secrets.LLM_ANSPIRE_BASE_URL }}
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LLM_ANSPIRE_API_KEY: ${{ secrets.LLM_ANSPIRE_API_KEY }}
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LLM_ANSPIRE_API_KEYS: ${{ secrets.LLM_ANSPIRE_API_KEYS }}
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LLM_ANSPIRE_MODELS: ${{ vars.LLM_ANSPIRE_MODELS || secrets.LLM_ANSPIRE_MODELS }}
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LLM_ANSPIRE_ENABLED: ${{ vars.LLM_ANSPIRE_ENABLED || secrets.LLM_ANSPIRE_ENABLED }}
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LLM_ANSPIRE_EXTRA_HEADERS: ${{ vars.LLM_ANSPIRE_EXTRA_HEADERS || secrets.LLM_ANSPIRE_EXTRA_HEADERS }}
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LLM_OPENAI_PROTOCOL: ${{ vars.LLM_OPENAI_PROTOCOL || secrets.LLM_OPENAI_PROTOCOL }}
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LLM_OPENAI_BASE_URL: ${{ vars.LLM_OPENAI_BASE_URL || secrets.LLM_OPENAI_BASE_URL }}
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LLM_OPENAI_API_KEY: ${{ secrets.LLM_OPENAI_API_KEY }}
@@ -164,6 +172,54 @@ jobs:
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LLM_MOONSHOT_ENABLED: ${{ vars.LLM_MOONSHOT_ENABLED || secrets.LLM_MOONSHOT_ENABLED }}
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LLM_MOONSHOT_EXTRA_HEADERS: ${{ vars.LLM_MOONSHOT_EXTRA_HEADERS || secrets.LLM_MOONSHOT_EXTRA_HEADERS }}
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LLM_DASHSCOPE_PROTOCOL: ${{ vars.LLM_DASHSCOPE_PROTOCOL || secrets.LLM_DASHSCOPE_PROTOCOL }}
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LLM_DASHSCOPE_BASE_URL: ${{ vars.LLM_DASHSCOPE_BASE_URL || secrets.LLM_DASHSCOPE_BASE_URL }}
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LLM_DASHSCOPE_API_KEY: ${{ secrets.LLM_DASHSCOPE_API_KEY }}
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LLM_DASHSCOPE_API_KEYS: ${{ secrets.LLM_DASHSCOPE_API_KEYS }}
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LLM_DASHSCOPE_MODELS: ${{ vars.LLM_DASHSCOPE_MODELS || secrets.LLM_DASHSCOPE_MODELS }}
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LLM_DASHSCOPE_ENABLED: ${{ vars.LLM_DASHSCOPE_ENABLED || secrets.LLM_DASHSCOPE_ENABLED }}
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LLM_DASHSCOPE_EXTRA_HEADERS: ${{ vars.LLM_DASHSCOPE_EXTRA_HEADERS || secrets.LLM_DASHSCOPE_EXTRA_HEADERS }}
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LLM_ZHIPU_PROTOCOL: ${{ vars.LLM_ZHIPU_PROTOCOL || secrets.LLM_ZHIPU_PROTOCOL }}
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LLM_ZHIPU_BASE_URL: ${{ vars.LLM_ZHIPU_BASE_URL || secrets.LLM_ZHIPU_BASE_URL }}
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LLM_ZHIPU_API_KEY: ${{ secrets.LLM_ZHIPU_API_KEY }}
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LLM_ZHIPU_API_KEYS: ${{ secrets.LLM_ZHIPU_API_KEYS }}
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LLM_ZHIPU_MODELS: ${{ vars.LLM_ZHIPU_MODELS || secrets.LLM_ZHIPU_MODELS }}
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LLM_ZHIPU_ENABLED: ${{ vars.LLM_ZHIPU_ENABLED || secrets.LLM_ZHIPU_ENABLED }}
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LLM_ZHIPU_EXTRA_HEADERS: ${{ vars.LLM_ZHIPU_EXTRA_HEADERS || secrets.LLM_ZHIPU_EXTRA_HEADERS }}
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LLM_MINIMAX_PROTOCOL: ${{ vars.LLM_MINIMAX_PROTOCOL || secrets.LLM_MINIMAX_PROTOCOL }}
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LLM_MINIMAX_BASE_URL: ${{ vars.LLM_MINIMAX_BASE_URL || secrets.LLM_MINIMAX_BASE_URL }}
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LLM_MINIMAX_API_KEY: ${{ secrets.LLM_MINIMAX_API_KEY }}
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LLM_MINIMAX_API_KEYS: ${{ secrets.LLM_MINIMAX_API_KEYS }}
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LLM_MINIMAX_MODELS: ${{ vars.LLM_MINIMAX_MODELS || secrets.LLM_MINIMAX_MODELS }}
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LLM_MINIMAX_ENABLED: ${{ vars.LLM_MINIMAX_ENABLED || secrets.LLM_MINIMAX_ENABLED }}
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LLM_MINIMAX_EXTRA_HEADERS: ${{ vars.LLM_MINIMAX_EXTRA_HEADERS || secrets.LLM_MINIMAX_EXTRA_HEADERS }}
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LLM_VOLCENGINE_PROTOCOL: ${{ vars.LLM_VOLCENGINE_PROTOCOL || secrets.LLM_VOLCENGINE_PROTOCOL }}
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LLM_VOLCENGINE_BASE_URL: ${{ vars.LLM_VOLCENGINE_BASE_URL || secrets.LLM_VOLCENGINE_BASE_URL }}
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LLM_VOLCENGINE_API_KEY: ${{ secrets.LLM_VOLCENGINE_API_KEY }}
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LLM_VOLCENGINE_API_KEYS: ${{ secrets.LLM_VOLCENGINE_API_KEYS }}
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LLM_VOLCENGINE_MODELS: ${{ vars.LLM_VOLCENGINE_MODELS || secrets.LLM_VOLCENGINE_MODELS }}
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LLM_VOLCENGINE_ENABLED: ${{ vars.LLM_VOLCENGINE_ENABLED || secrets.LLM_VOLCENGINE_ENABLED }}
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LLM_VOLCENGINE_EXTRA_HEADERS: ${{ vars.LLM_VOLCENGINE_EXTRA_HEADERS || secrets.LLM_VOLCENGINE_EXTRA_HEADERS }}
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LLM_SILICONFLOW_PROTOCOL: ${{ vars.LLM_SILICONFLOW_PROTOCOL || secrets.LLM_SILICONFLOW_PROTOCOL }}
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LLM_SILICONFLOW_BASE_URL: ${{ vars.LLM_SILICONFLOW_BASE_URL || secrets.LLM_SILICONFLOW_BASE_URL }}
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LLM_SILICONFLOW_API_KEY: ${{ secrets.LLM_SILICONFLOW_API_KEY }}
210+
LLM_SILICONFLOW_API_KEYS: ${{ secrets.LLM_SILICONFLOW_API_KEYS }}
211+
LLM_SILICONFLOW_MODELS: ${{ vars.LLM_SILICONFLOW_MODELS || secrets.LLM_SILICONFLOW_MODELS }}
212+
LLM_SILICONFLOW_ENABLED: ${{ vars.LLM_SILICONFLOW_ENABLED || secrets.LLM_SILICONFLOW_ENABLED }}
213+
LLM_SILICONFLOW_EXTRA_HEADERS: ${{ vars.LLM_SILICONFLOW_EXTRA_HEADERS || secrets.LLM_SILICONFLOW_EXTRA_HEADERS }}
214+
215+
LLM_OPENROUTER_PROTOCOL: ${{ vars.LLM_OPENROUTER_PROTOCOL || secrets.LLM_OPENROUTER_PROTOCOL }}
216+
LLM_OPENROUTER_BASE_URL: ${{ vars.LLM_OPENROUTER_BASE_URL || secrets.LLM_OPENROUTER_BASE_URL }}
217+
LLM_OPENROUTER_API_KEY: ${{ secrets.LLM_OPENROUTER_API_KEY }}
218+
LLM_OPENROUTER_API_KEYS: ${{ secrets.LLM_OPENROUTER_API_KEYS }}
219+
LLM_OPENROUTER_MODELS: ${{ vars.LLM_OPENROUTER_MODELS || secrets.LLM_OPENROUTER_MODELS }}
220+
LLM_OPENROUTER_ENABLED: ${{ vars.LLM_OPENROUTER_ENABLED || secrets.LLM_OPENROUTER_ENABLED }}
221+
LLM_OPENROUTER_EXTRA_HEADERS: ${{ vars.LLM_OPENROUTER_EXTRA_HEADERS || secrets.LLM_OPENROUTER_EXTRA_HEADERS }}
222+
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LLM_OLLAMA_PROTOCOL: ${{ vars.LLM_OLLAMA_PROTOCOL || secrets.LLM_OLLAMA_PROTOCOL }}
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LLM_OLLAMA_BASE_URL: ${{ vars.LLM_OLLAMA_BASE_URL || secrets.LLM_OLLAMA_BASE_URL }}
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LLM_OLLAMA_API_KEY: ${{ secrets.LLM_OLLAMA_API_KEY }}
@@ -193,6 +249,9 @@ jobs:
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# 搜索服务
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# ==========================================
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ANSPIRE_API_KEYS: ${{ secrets.ANSPIRE_API_KEYS }}
252+
ANSPIRE_LLM_MODEL: ${{ vars.ANSPIRE_LLM_MODEL || secrets.ANSPIRE_LLM_MODEL }}
253+
ANSPIRE_LLM_BASE_URL: ${{ vars.ANSPIRE_LLM_BASE_URL || secrets.ANSPIRE_LLM_BASE_URL }}
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ANSPIRE_LLM_ENABLED: ${{ vars.ANSPIRE_LLM_ENABLED || secrets.ANSPIRE_LLM_ENABLED }}
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BOCHA_API_KEYS: ${{ secrets.BOCHA_API_KEYS }}
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TAVILY_API_KEYS: ${{ secrets.TAVILY_API_KEYS }}
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SERPAPI_API_KEYS: ${{ secrets.SERPAPI_API_KEYS }}
@@ -211,6 +270,8 @@ jobs:
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# 方式二：飞书 Webhook
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FEISHU_WEBHOOK_URL: ${{ secrets.FEISHU_WEBHOOK_URL }}
273+
FEISHU_WEBHOOK_SECRET: ${{ secrets.FEISHU_WEBHOOK_SECRET }}
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FEISHU_WEBHOOK_KEYWORD: ${{ vars.FEISHU_WEBHOOK_KEYWORD || secrets.FEISHU_WEBHOOK_KEYWORD }}
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# 方式三：Telegram
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TELEGRAM_BOT_TOKEN: ${{ secrets.TELEGRAM_BOT_TOKEN }}
@@ -229,10 +290,13 @@ jobs:
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# 方式六：PushPlus ⬅️ 新增！
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PUSHPLUS_TOKEN: ${{ secrets.PUSHPLUS_TOKEN }}
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PUSHPLUS_TOPIC: ${{ vars.PUSHPLUS_TOPIC || secrets.PUSHPLUS_TOPIC }}
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# 方式七：自定义 Webhook（钉钉、Bark、自建服务等）
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CUSTOM_WEBHOOK_URLS: ${{ secrets.CUSTOM_WEBHOOK_URLS }}
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CUSTOM_WEBHOOK_BEARER_TOKEN: ${{ secrets.CUSTOM_WEBHOOK_BEARER_TOKEN }}
298+
CUSTOM_WEBHOOK_BODY_TEMPLATE: ${{ vars.CUSTOM_WEBHOOK_BODY_TEMPLATE || secrets.CUSTOM_WEBHOOK_BODY_TEMPLATE }}
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WEBHOOK_VERIFY_SSL: ${{ vars.WEBHOOK_VERIFY_SSL || secrets.WEBHOOK_VERIFY_SSL || 'true' }}
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# 方式八：Discord
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DISCORD_WEBHOOK_URL: ${{ secrets.DISCORD_WEBHOOK_URL }}
@@ -310,9 +374,14 @@ jobs:
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echo "📋 配置检查"
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echo "=========================================="
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echo "【AI 配置】"
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echo " LiteLLM: $([ -n "$LITELLM_CONFIG" ] || [ -n "$LITELLM_API_KEY" ] || [ -n "$LITELLM_MODEL" ] && echo '✅ 已配置' || echo '❌ 未配置')"
377+
if [ -n "$LITELLM_CONFIG" ] || [ -n "$LITELLM_API_KEY" ] || [ -n "$LITELLM_MODEL" ] || [ -n "$ANSPIRE_API_KEYS" ]; then
378+
echo " LiteLLM: ✅ 已配置"
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else
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echo " LiteLLM: ❌ 未配置"
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fi
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echo " Gemini API Key: $([ -n "$GEMINI_API_KEY" ] && echo '✅ 已配置' || echo '❌ 未配置')"
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echo " DeepSeek Key: $([ -n "$DEEPSEEK_API_KEY" ] && echo '✅ 已配置' || echo '⚪ 未配置')"
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echo " Anspire Key: $([ -n "$ANSPIRE_API_KEYS" ] && echo '✅ 已配置' || echo '⚪ 未配置')"
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echo " AIHubMix Key: $([ -n "$AIHUBMIX_KEY" ] && echo '✅ 已配置' || echo '⚪ 未配置')"
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echo " OpenAI API Key: $([ -n "$OPENAI_API_KEY" ] && echo '✅ 已配置' || echo '⚪ 未配置')"
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echo " Anthropic Key: $([ -n "$ANTHROPIC_API_KEY" ] && echo '✅ 已配置' || echo '⚪ 未配置')"

‎.github/workflows/network-smoke.yml‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -40,7 +40,7 @@ jobs:
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continue-on-error: true
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run: |
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set -o pipefail
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./test.sh quick --no-notify | tee quick-smoke.log
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./scripts/test.sh quick --no-notify | tee quick-smoke.log
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- name: 📤 Upload smoke logs
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if: always()

‎.gitignore‎

Lines changed: 7 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -8,7 +8,13 @@
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# 测试文件（可能包含敏感配置）
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# 仅忽略仓库根目录下的临时 test_*.py 脚本；tests/ 目录下的单元测试需要纳入版本控制。
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/test_*.py
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!test_env.py
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/test.sh
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# 本地评审与高级路由配置（可能包含敏感信息或临时分析产物）
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/.codex
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/review.md
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/litellm_config.yaml
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/litellm_config.*.yaml
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# Python
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__pycache__/

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