init(all)：一个让codex调用deepseek模型的项目
This commit is contained in:
Pine
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# Git
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.git
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.gitignore
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# Python
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__pycache__/
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*.pyc
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*.pyo
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*.egg-info/
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.venv/
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.python-version
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# IDE / Editor
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS files
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.DS_Store
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Thumbs.db
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# Runtime
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proxy_debug.log
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debug_request_body.txt
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# Docker (避免层级嵌套)
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docker/
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Dockerfile
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docker-compose*.yml
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# Build / Dist
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dist/
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build/
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# ==== codex_proxy 配置文件 ====
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# 复制此文件为 .env 并填入你的配置
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# 必填：DeepSeek API Key（从 https://platform.deepseek.com/api_keys 获取）
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DEEPSEEK_API_KEY=*********
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# 本服务的API Key，用于代理请求
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MY_API_KEY=sk-1234567890
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# 默认模型
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MODEL_DEFAULT = deepseek-v4-flash
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## codex模型对应,为空则使用默认模型
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MODEL_GTP5_5 = deepseek-v4-pro
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MODEL_GTP5_4 = deepseek-v4-flash
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MODEl_GPT5_4_MINI = deepseek-v4-flash
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MODEL_GTP5_3_CODEX = deepseek-v4-flash
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MODEL_GTP5_2 = deepseek-v4-flash
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# 可选：DeepSeek API 地址（默认官方地址，一般无需修改）
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# DEEPSEEK_URL=https://api.deepseek.com/v1/chat/completions
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# 可选：调试日志，设为 1 开启
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# DEEPSEEK_DEBUG=1
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# Auto detect text files and perform LF normalization
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* text=auto
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+16
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# API Key
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.env
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# 调试日志
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proxy_debug.log
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# Python
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__pycache__/
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*.pyc
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*.pyo
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# 虚拟环境
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venv/
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.venv/
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env/
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/.claude
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3.12
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+61
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# ============================================================
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# Codex2DeepSeek — 跨平台多阶段构建
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# ============================================================
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# 构建:
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# docker build -t codex2deepseek:latest .
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# docker buildx build --platform linux/amd64,linux/arm64 -t codex2deepseek:latest .
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#
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# 运行:
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# docker compose -f docker/docker-compose.yml up -d
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# ============================================================
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# ---- 构建阶段 ----
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# 使用与运行时相同的 slim 基镜像，避免 musl/glibc 不兼容问题
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FROM python:3.12-slim AS builder
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WORKDIR /build
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# 安装 uv
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COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv
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# 利用 Docker 层缓存：先复制依赖声明
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COPY pyproject.toml uv.lock ./
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RUN uv sync --frozen --no-dev --no-install-project
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# 复制源码
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COPY app/ ./app/
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COPY routers/ ./routers/
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COPY services/ ./services/
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COPY main.py ./
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# 重新 sync 以链接本地包
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RUN uv sync --frozen --no-dev
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# ---- 运行时阶段 ----
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FROM python:3.12-slim
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WORKDIR /app
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# 安装 ca-certificates 确保 HTTPS 请求正常
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RUN apt-get update -qq && apt-get install -y -qq --no-install-recommends \
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ca-certificates \
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&& rm -rf /var/lib/apt/lists/*
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# 从 builder 复制已安装的 venv 和源码
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COPY --from=builder /build/.venv /app/.venv
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COPY --from=builder /build/main.py /app/main.py
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COPY --from=builder /build/app/ /app/app/
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COPY --from=builder /build/routers/ /app/routers/
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COPY --from=builder /build/services/ /app/services/
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ENV PATH="/app/.venv/bin:$PATH" \
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PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1
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EXPOSE 12345
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HEALTHCHECK --interval=30s --timeout=5s --start-period=10s --retries=3 \
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CMD python -c "import socket; socket.create_connection(('localhost', 12345), timeout=5).close()" || exit 1
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ENTRYPOINT ["python", "main.py"]
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MIT License
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Copyright (c) 2026 PineKings
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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# Codex2DeepSeek
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OpenAI Responses API ↔ DeepSeek Chat API 流式转发代理。
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将 OpenAI Codex 等客户端发出的 Responses API 请求，实时转换为 DeepSeek Chat Completions 格式，实现 SSE 流式透传。
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本项目配合 `CC Switch`使用，可实现 Codex IDE/CLI 与 DeepSeek Chat 的对接中转。
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> 妈的，使用Codex，想用DeepSeek接入，找了半天工具，就没发现什么非常好用的工具，协议都不匹配，找到 [Nigel211/codex_deepseek_proxy](https://github.com/Nigel211/codex_deepseek_proxy.git) 但是单文件模式不习惯，使用flask框架也不喜欢，同时在使用中发现模型的对应问题，很头大，没工夫去慢慢研究了，所以重构了fastAPI的版本，后续有空的话会增加其他各路国产模型的适配。
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## 特性
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- **协议转换** — 将 OpenAI Responses API 请求（`input`/`instructions`/`tools` 等字段）自动映射为 DeepSeek Chat Completions 格式
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- **流式透传** — 基于 SSE (Server-Sent Events) 实时转发 DeepSeek 响应，完整保留 `reasoning_content`（思考链）
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- **工具调用** — 支持 Function Calling 的双向格式转换与消息重排，兼容并行工具调用
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- **模型映射** — 通过环境变量灵活配置客户端模型名到 DeepSeek 模型的对应关系
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- **身份验证** — 支持 Authorization Bearer Token 鉴权
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- **轻量部署** — 仅依赖 FastAPI + Uvicorn + Requests
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## 流程
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```
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Codex IDE/CLI Proxy Server DeepSeek API
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───────────── ───────────── ────────────
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Responses API ────→ 格式转换 (Responses→Chat) ────→ /v1/chat/completions
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SSE Stream ←──── 格式转换 (Chat→Responses) ←──── SSE Stream
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```
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### 项目结构
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```
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├── main.py # 应用入口：CLI 参数、FastAPI 初始化、启动
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├── pyproject.toml # 项目配置与依赖声明
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├── .env # 环境变量（API Key、模型映射等）
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├── app/
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│ ├── __init__.py
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│ └── config.py # 配置管理：.env 加载、API Key 交互式输入、模型映射表
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├── routers/
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│ ├── __init__.py # 路由统一注册
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│ ├── proxy.py # API 端点：/responses, /v1/responses, /v1/chat/completions
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│ ├── lifespan.py # 应用生命周期管理
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│ └── middleware.py # 中间件：CORS、Auth 鉴权、模型名称解析
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└── services/
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├── __init__.py
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├── converter.py # 协议转换：Responses API → Chat Completions
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└── stream.py # SSE 流式生成器
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```
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## 快速启动
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> 前置条件：Python 3.8+、uv（uv 未安装请自行百度uv安装）
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### 1. 安装依赖
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```bash
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git clone https://github.com/PineKings/Code2DeepSeek.git
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cd Code2DeepSeek
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uv sync
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```
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### 2. 配置
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创建 `.env` 文件：
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```ini
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# DeepSeek API Key（必填）
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DEEPSEEK_API_KEY=sk-your-deepseek-key
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# 本服务鉴权密钥（必填，客户端请求需携带）
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MY_API_KEY=sk-your-proxy-key
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# 默认模型（请求中未指定模型时使用）
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MODEL_DEFAULT=deepseek-v4-flash
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# 模型映射：客户端模型名 → DeepSeek 模型名（留空则使用 MODEL_DEFAULT）
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MODEL_GTP5_5=deepseek-v4-pro
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MODEL_GTP5_4=deepseek-v4-flash
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MODEl_GPT5_4_MINI=deepseek-v4-flash
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MODEL_GTP5_3_CODEX=deepseek-v4-flash
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MODEL_GTP5_2=deepseek-v4-flash
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```
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首次启动时若未配置 `DEEPSEEK_API_KEY` 或 `MY_API_KEY`，程序会交互式提示输入并自动写入 `.env`，该方式docker启动不可用❌。
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### 3. 运行
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```bash
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uv run main.py
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```
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| 参数 | 默认值 | 说明 |
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|------|--------|------|
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| `--port` | `12345` | 服务端口 |
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| `--host` | `0.0.0.0` | 绑定地址 |
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| `--debug` | — | 启用调试日志 |
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### 4. Docker 方式构建后部署
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确保已安装 Docker 和 Docker Compose（Docker Desktop 已内置 compose）。
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#### 构建镜像
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```bash
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# 从 Dockerfile 构建（根目录）
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docker build -t codex2deepseek:latest .
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# 跨平台构建
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docker buildx build --platform linux/amd64,linux/arm64 -t codex2deepseek:latest .
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```
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#### 启动服务
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```bash
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# 使用 docker-compose.yml 后台启动
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docker compose -f docker/docker-compose.yml up -d
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# 查看日志
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docker compose -f docker/docker-compose.yml logs -f
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# 重启
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docker compose -f docker/docker-compose.yml restart
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# 停止并删除容器
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docker compose -f docker/docker-compose.yml down
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```
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服务将在 `http://127.0.0.1:12345` 监听。
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> ⚠️ `.env` 文件**必须**在启动前已配置好 `DEEPSEEK_API_KEY` 和 `MY_API_KEY`。Docker 模式下不支持交互式输入，请确认 `.env` 文件内容完整。
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#### 单独使用 Docker（不依赖 Compose）
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```bash
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# 构建
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docker build -t codex2deepseek:latest .
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# 运行
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docker run -d -p 127.0.0.1:12345:12345 \
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--name codex2deepseek \
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--env-file .env \
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--restart unless-stopped \
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codex2deepseek:latest
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```
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#### 文件说明
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```
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├── Dockerfile # 多阶段构建，builder 使用 python:3.12-slim + uv
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├── docker/
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│ ├── docker-compose.yml # Compose 编排文件（构建 + 启动）
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│ └── .env.example # 环境变量模板
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```
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- `Dockerfile` 位于项目根目录，使用 python:3.12-slim 作为构建和运行时基镜像，避免 musl/glibc 不兼容问题
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- `docker/docker-compose.yml` 位于 `docker/` 目录下，通过 `context: ..` 引用项目根目录的 `Dockerfile` 和 `.env`
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### 5. Docker 部署
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#### 拉取镜像
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```bash
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docker pull pinekings/codex2deepseek:latest
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```
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#### 创建.env文件
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```bash
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touch .env
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```
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#### 编辑.env文件(`vi .env`)
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```bash
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# ==== codex_proxy 配置文件 ====
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# 复制此文件为 .env 并填入你的配置
|
||||
|
||||
# 必填：DeepSeek API Key（从 https://platform.deepseek.com/api_keys 获取）
|
||||
DEEPSEEK_API_KEY=*********
|
||||
|
||||
# 本服务的API Key，用于代理请求
|
||||
MY_API_KEY=sk-1234567890
|
||||
|
||||
# 默认模型
|
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MODEL_DEFAULT = deepseek-v4-flash
|
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|
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## codex模型对应,为空则使用默认模型
|
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MODEL_GTP5_5 = deepseek-v4-pro
|
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MODEL_GTP5_4 = deepseek-v4-flash
|
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MODEl_GPT5_4_MINI = deepseek-v4-flash
|
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MODEL_GTP5_3_CODEX = deepseek-v4-flash
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MODEL_GTP5_2 = deepseek-v4-flash
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|
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# 可选：DeepSeek API 地址（默认官方地址，一般无需修改）
|
||||
# DEEPSEEK_URL=https://api.deepseek.com/v1/chat/completions
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||||
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# 可选：调试日志，设为 1 开启
|
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# DEEPSEEK_DEBUG=1
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```
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#### 运行容器
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```bash
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docker run -d \
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--name codex2deepseek \
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-p 12345:12345 \
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--env-file ./.env \
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pinekings/codex2deepseek:latest
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```
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## 用法
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### API Endpoints
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本项目无法直接实现codex的对接，需要配合CCSwitch等工具实现对接。
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打开ccswitch，点击添加新供应商，选择自定义，填写代理地址和端口即可。
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```
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供应商名称: DeepSeek
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API Key: sk-your-proxy-key
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API 请求地址:http://127.0.0.1:12345(本地跑这个服务就本地，远程就改成你的ip和端口号)
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```
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注意：
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- 点击“获取模型列表”按钮，报错“未找到可用的模型列表端点，请检查 Base URL 或确认供应商是否开放该接口”非常正常！因为本项目就没有中转模型列表获取的接口！
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- 测试是否对接成功，在供应商列表，然后点击“测试模型”，如果返回了类似这样`DeepSeek 运行正常 (4ms)`的信息就说明成功了
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## 模型映射
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||||
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通过环境变量为每个 Codex 模型名指定对应的 DeepSeek 模型：
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||||
|
||||
| 环境变量 | 默认值 | 客户端请求 model |
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||||
|---------|--------|-----------------|
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| `MODEL_DEFAULT` | `deepseek-v4-flash` | 未指定或未匹配时使用 |
|
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| `MODEL_GTP5_5` | `MODEL_DEFAULT` | `gpt-5.5` |
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| `MODEL_GTP5_4` | `MODEL_DEFAULT` | `gpt-5.4` |
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| `MODEl_GPT5_4_MINI` | `MODEL_DEFAULT` | `gpt-5.4-mini` |
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| `MODEL_GTP5_3_CODEX` | `MODEL_DEFAULT` | `gpt-5.3-codex` |
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| `MODEL_GTP5_2` | `MODEL_DEFAULT` | `gpt-5.2` |
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模型解析优先级：`中间件解析值 > 请求体中的 model > MODEL_DEFAULT > 代码默认值`
|
||||
|
||||
## 环境变量
|
||||
|
||||
| 变量 | 必填 | 默认值 | 说明 |
|
||||
|------|------|--------|------|
|
||||
| `DEEPSEEK_API_KEY` | 是 | — | DeepSeek API 密钥 |
|
||||
| `MY_API_KEY` | 是 | — | 本服务鉴权密钥 |
|
||||
| `DEEPSEEK_URL` | 否 | `https://api.deepseek.com/v1/chat/completions` | DeepSeek API 地址 |
|
||||
| `DEFAULT_MODEL` | 否 | `deepseek-v4-flash` | 无模型指定时的默认模型（旧配置） |
|
||||
| `MODEL_DEFAULT` | 否 | `deepseek-v4-flash` | 模型映射默认值 |
|
||||
| `DEEPSEEK_DEBUG` | 否 | `0` | 设为 `1` 启用调试日志到 `proxy_debug.log` |
|
||||
| `MODEL_GTP5_5` | 否 | `MODEL_DEFAULT` | `gpt-5.5` 映射目标 |
|
||||
| `MODEL_GTP5_4` | 否 | `MODEL_DEFAULT` | `gpt-5.4` 映射目标 |
|
||||
| `MODEl_GPT5_4_MINI` | 否 | `MODEL_DEFAULT` | `gpt-5.4-mini` 映射目标 |
|
||||
| `MODEL_GTP5_3_CODEX` | 否 | `MODEL_DEFAULT` | `gpt-5.3-codex` 映射目标 |
|
||||
| `MODEL_GTP5_2` | 否 | `MODEL_DEFAULT` | `gpt-5.2` 映射目标 |
|
||||
|
||||
## Tool Calling 兼容性
|
||||
|
||||
代理处理了 DeepSeek Chat Completions API 与 OpenAI Responses API 之间的以下差异：
|
||||
|
||||
| 问题 | 处理方式 |
|
||||
|------|----------|
|
||||
| 工具定义格式不同 | 将 Responses API 扁平格式转为 Chat API 嵌套 `function` 格式，清除 `strict` 和 `additionalProperties` 字段 |
|
||||
| 并行工具调用 | 将 Codex 的多个连续 `function_call` 项合并为单个 assistant 消息（含多个 `tool_calls`） |
|
||||
| 消息顺序 | DeepSeek 要求 tool 消息紧跟对应的 assistant 消息；代理自动重排插入的 system 消息 |
|
||||
| 思考模式 | 默认禁用（`thinking: {type: "disabled"}`），避免 `reasoning_content` 回传兼容问题 |
|
||||
| `reasoning_content` | 仅在流结束事件中随 `item.done` 回传，避免破坏 Responses API 事件结构 |
|
||||
|
||||
|
||||
## 归属权
|
||||
|
||||
本项目重构自 [Nigel211/codex_deepseek_proxy](https://github.com/Nigel211/codex_deepseek_proxy.git)，该项目以MIT协议开源，本项目亦同。
|
||||
@@ -0,0 +1 @@
|
||||
"""codex_deepseek_proxy 配置模块"""
|
||||
+190
@@ -0,0 +1,190 @@
|
||||
"""
|
||||
配置管理模块
|
||||
|
||||
职责：
|
||||
- .env 文件加载（不覆盖已有系统环境变量）
|
||||
- DEEPSEEK_API_KEY 交互式输入与持久化
|
||||
- 导出全局配置常量
|
||||
"""
|
||||
|
||||
import os
|
||||
import sys
|
||||
import getpass
|
||||
|
||||
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
|
||||
|
||||
|
||||
def load_dotenv():
|
||||
"""加载 .env 文件到 os.environ（不覆盖已有的系统环境变量）"""
|
||||
env_file = os.path.join(BASE_DIR, ".env")
|
||||
if not os.path.exists(env_file):
|
||||
return
|
||||
with open(env_file, "r", encoding="utf-8") as f:
|
||||
for line in f:
|
||||
line = line.strip()
|
||||
if not line or line.startswith("#") or "=" not in line:
|
||||
continue
|
||||
key, _, val = line.partition("=")
|
||||
key, val = key.strip(), val.strip().strip("\"'")
|
||||
if key and key not in os.environ:
|
||||
os.environ[key] = val
|
||||
|
||||
|
||||
def ensure_api_key() -> str:
|
||||
"""确保 DEEPSEEK_API_KEY 已设置：系统环境变量 > .env > 交互输入
|
||||
|
||||
Returns:
|
||||
API Key 字符串，若用户取消输入则退出进程。
|
||||
"""
|
||||
key = os.environ.get("DEEPSEEK_API_KEY", "").strip()
|
||||
if key:
|
||||
return key
|
||||
|
||||
print("=" * 60)
|
||||
print(" 未检测到 DEEPSEEK_API_KEY")
|
||||
print("=" * 60)
|
||||
print()
|
||||
print(" 从 https://platform.deepseek.com/api_keys 获取 API Key")
|
||||
print()
|
||||
print(" 你也可以设置系统环境变量 DEEPSEEK_API_KEY 后重启")
|
||||
print()
|
||||
|
||||
try:
|
||||
key = getpass.getpass(" 请输入你的 DeepSeek API Key: ").strip()
|
||||
except (EOFError, KeyboardInterrupt):
|
||||
key = ""
|
||||
|
||||
if not key:
|
||||
print()
|
||||
print(" ERROR: 未输入 API Key，程序退出。")
|
||||
print()
|
||||
print(" 支持以下方式设置 API Key（按优先级排列）:")
|
||||
print(" 1. 系统环境变量: DEEPSEEK_API_KEY=sk-your-key")
|
||||
print(" 2. 脚本同目录 .env 文件: DEEPSEEK_API_KEY=sk-your-key")
|
||||
print()
|
||||
input(" 按 Enter 退出...")
|
||||
sys.exit(1)
|
||||
|
||||
env_file = os.path.join(BASE_DIR, ".env")
|
||||
existing = {}
|
||||
if os.path.exists(env_file):
|
||||
with open(env_file, "r", encoding="utf-8") as f:
|
||||
for line in f:
|
||||
line = line.strip()
|
||||
if not line or line.startswith("#") or "=" not in line:
|
||||
continue
|
||||
k, _, v = line.partition("=")
|
||||
existing[k.strip()] = line
|
||||
existing["DEEPSEEK_API_KEY"] = f"DEEPSEEK_API_KEY={key}"
|
||||
|
||||
with open(env_file, "w", encoding="utf-8") as f:
|
||||
for line in existing.values():
|
||||
f.write(line + "\n")
|
||||
if "DEFAULT_MODEL" not in existing:
|
||||
f.write("DEFAULT_MODEL=deepseek-v4-pro\n")
|
||||
|
||||
os.environ["DEEPSEEK_API_KEY"] = key
|
||||
print()
|
||||
print(f" API Key 已保存到: {env_file}")
|
||||
print()
|
||||
return key
|
||||
|
||||
|
||||
# ===================== 模块导入时自动加载 =====================
|
||||
load_dotenv()
|
||||
|
||||
# ===================== 全局配置常量 =====================
|
||||
DEEPSEEK_API_KEY = os.environ.get("DEEPSEEK_API_KEY", "").strip()
|
||||
DEFAULT_MODEL = os.environ.get("DEFAULT_MODEL", "deepseek-v4-flash").strip()
|
||||
DEEPSEEK_URL = os.environ.get(
|
||||
"DEEPSEEK_URL", "https://api.deepseek.com/v1/chat/completions"
|
||||
).strip()
|
||||
DEEPSEEK_DEBUG = os.environ.get("DEEPSEEK_DEBUG", "0").strip() in (
|
||||
"1",
|
||||
"true",
|
||||
"True",
|
||||
"yes",
|
||||
)
|
||||
DEBUG_LOG = os.path.join(BASE_DIR, "proxy_debug.log")
|
||||
|
||||
# ===================== 模型映射表 =====================
|
||||
# 将客户端请求中的模型名称映射为 DeepSeek 实际模型名称
|
||||
# 默认模型名称（可被环境变量覆盖），当请求中未指定模型或指定的模型不在 MODEL_MAP 中时使用
|
||||
MODEL_DEFAULT = os.environ.get("MODEL_DEFAULT", "deepseek-v4-flash")
|
||||
|
||||
## codex模型对应,为空则使用默认模型
|
||||
MODEL_GTP5_5 = os.environ.get("MODEL_GTP5_5", "").strip() or MODEL_DEFAULT
|
||||
MODEL_GTP5_4 = os.environ.get("MODEL_GTP5_4", "").strip() or MODEL_DEFAULT
|
||||
MODEl_GPT5_4_MINI = os.environ.get("MODEl_GPT5_4_MINI", "").strip() or MODEL_DEFAULT
|
||||
MODEL_GTP5_3_CODEX = os.environ.get("MODEL_GTP5_3_CODEX", "").strip() or MODEL_DEFAULT
|
||||
MODEL_GTP5_2 = os.environ.get("MODEL_GTP5_2", "").strip() or MODEL_DEFAULT
|
||||
|
||||
MODEL_MAP = {
|
||||
"gpt-5.5": MODEL_GTP5_5,
|
||||
"gpt-5.4": MODEL_GTP5_4,
|
||||
"gpt-5.4-mini": MODEl_GPT5_4_MINI,
|
||||
"gpt-5.3-codex": MODEL_GTP5_3_CODEX,
|
||||
"gpt-5.2": MODEL_GTP5_2,
|
||||
|
||||
}
|
||||
|
||||
def ensure_my_api_key() -> str:
|
||||
"""确保 MY_API_KEY 已设置：系统环境变量 > .env > 交互输入
|
||||
|
||||
Returns:
|
||||
授权密钥字符串，若用户取消输入则退出进程。
|
||||
"""
|
||||
key = os.environ.get("MY_API_KEY", "").strip()
|
||||
if key:
|
||||
return key
|
||||
|
||||
print("=" * 60)
|
||||
print(" 未检测到 MY_API_KEY（授权密钥）")
|
||||
print("=" * 60)
|
||||
print()
|
||||
print(" MY_API_KEY 用于验证请求来源是否合法，请设置一个自定义密钥。")
|
||||
print()
|
||||
|
||||
try:
|
||||
key = getpass.getpass(" 请输入你的 MY_API_KEY: ").strip()
|
||||
except (EOFError, KeyboardInterrupt):
|
||||
key = ""
|
||||
|
||||
if not key:
|
||||
print()
|
||||
print(" ERROR: 未输入 MY_API_KEY，程序退出。")
|
||||
print()
|
||||
print(" 你可以在 .env 文件中设置: MY_API_KEY=你的密钥")
|
||||
print()
|
||||
input(" 按 Enter 退出...")
|
||||
sys.exit(1)
|
||||
|
||||
env_file = os.path.join(BASE_DIR, ".env")
|
||||
existing = {}
|
||||
if os.path.exists(env_file):
|
||||
with open(env_file, "r", encoding="utf-8") as f:
|
||||
for line in f:
|
||||
line = line.strip()
|
||||
if not line or line.startswith("#") or "=" not in line:
|
||||
continue
|
||||
k, _, v = line.partition("=")
|
||||
existing[k.strip()] = line
|
||||
existing["MY_API_KEY"] = f"MY_API_KEY={key}"
|
||||
|
||||
with open(env_file, "w", encoding="utf-8") as f:
|
||||
for line in existing.values():
|
||||
f.write(line + "\n")
|
||||
|
||||
os.environ["MY_API_KEY"] = key
|
||||
# 更新模块级变量，使后续 import 能拿到最新值
|
||||
globals()["MY_API_KEY"] = key
|
||||
print()
|
||||
print(f" MY_API_KEY 已保存到: {env_file}")
|
||||
print()
|
||||
return key
|
||||
|
||||
|
||||
# ===================== 全局配置常量 =====================
|
||||
# 简单防护，使用固定API Key 验证请求来源是否合法
|
||||
MY_API_KEY = os.environ.get("MY_API_KEY", "").strip()
|
||||
|
||||
@@ -0,0 +1,24 @@
|
||||
# ==== codex_proxy 配置文件 ====
|
||||
# 复制此文件为 .env 并填入你的配置
|
||||
|
||||
# 必填：DeepSeek API Key（从 https://platform.deepseek.com/api_keys 获取）
|
||||
DEEPSEEK_API_KEY=*********
|
||||
|
||||
# 本服务的API Key，用于代理请求
|
||||
MY_API_KEY=sk-1234567890
|
||||
|
||||
# 默认模型
|
||||
MODEL_DEFAULT = deepseek-v4-flash
|
||||
|
||||
## codex模型对应,为空则使用默认模型
|
||||
MODEL_GTP5_5 = deepseek-v4-pro
|
||||
MODEL_GTP5_4 = deepseek-v4-flash
|
||||
MODEl_GPT5_4_MINI = deepseek-v4-flash
|
||||
MODEL_GTP5_3_CODEX = deepseek-v4-flash
|
||||
MODEL_GTP5_2 = deepseek-v4-flash
|
||||
|
||||
# 可选：DeepSeek API 地址（默认官方地址，一般无需修改）
|
||||
# DEEPSEEK_URL=https://api.deepseek.com/v1/chat/completions
|
||||
|
||||
# 可选：调试日志，设为 1 开启
|
||||
# DEEPSEEK_DEBUG=1
|
||||
@@ -0,0 +1,38 @@
|
||||
# ============================================================
|
||||
# Codex DeepSeek Proxy — Docker Compose 编排
|
||||
# ============================================================
|
||||
# 使用:
|
||||
# docker compose -f docker/docker-compose.yml up -d # 启动
|
||||
# docker compose -f docker/docker-compose.yml logs -f # 日志
|
||||
# docker compose -f docker/docker-compose.yml down # 停止
|
||||
# docker compose -f docker/docker-compose.yml restart # 重启
|
||||
# ============================================================
|
||||
|
||||
services:
|
||||
proxy:
|
||||
build:
|
||||
context: ..
|
||||
dockerfile: Dockerfile
|
||||
platforms:
|
||||
- linux/amd64
|
||||
- linux/arm64
|
||||
image: codex2deepseek:latest
|
||||
container_name: codex2deepseek
|
||||
ports:
|
||||
- "127.0.0.1:12345:12345"
|
||||
env_file:
|
||||
- ../.env
|
||||
restart: unless-stopped
|
||||
user: "1000:1000"
|
||||
deploy:
|
||||
resources:
|
||||
limits:
|
||||
memory: 512M
|
||||
reservations:
|
||||
memory: 128M
|
||||
healthcheck:
|
||||
test: ["CMD", "python", "-c", "import socket; socket.create_connection(('localhost', 12345), timeout=5).close()"]
|
||||
interval: 30s
|
||||
timeout: 5s
|
||||
retries: 3
|
||||
start_period: 10s
|
||||
@@ -0,0 +1,66 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
OpenAI Responses API ↔ DeepSeek Chat API 流式转发代理
|
||||
启动:
|
||||
python main.py --port 12345
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import sys
|
||||
|
||||
# ===================== 命令行参数 =====================
|
||||
parser = argparse.ArgumentParser(description="Codex DeepSeek Proxy")
|
||||
parser.add_argument(
|
||||
"--port", type=int, default=12345, help="服务运行端口，默认 12345"
|
||||
)
|
||||
parser.add_argument(
|
||||
"--host", type=str, default="0.0.0.0", help="绑定地址，默认 0.0.0.0"
|
||||
)
|
||||
parser.add_argument(
|
||||
"--debug",
|
||||
action="store_true",
|
||||
help="启用调试日志（覆盖 DEEPSEEK_DEBUG 环境变量）",
|
||||
)
|
||||
args = parser.parse_args()
|
||||
|
||||
# ===================== 初始化 API Key =====================
|
||||
# 必须在 FastAPI 应用创建前完成，因为 config 模块在 import 时加载 .env
|
||||
from app.config import ensure_api_key, ensure_my_api_key
|
||||
|
||||
key = ensure_api_key()
|
||||
if not key:
|
||||
sys.exit(1)
|
||||
|
||||
my_key = ensure_my_api_key()
|
||||
if not my_key:
|
||||
sys.exit(1)
|
||||
|
||||
# ===================== FastAPI 应用创建 =====================
|
||||
from fastapi import FastAPI
|
||||
|
||||
from routers import register_routes
|
||||
from routers.lifespan import create_lifespan
|
||||
from routers.middleware import setup_middleware
|
||||
|
||||
app = FastAPI(
|
||||
title="Codex DeepSeek Proxy",
|
||||
description="OpenAI Responses API ↔ DeepSeek Chat API 流式转发代理",
|
||||
version="0.2.0",
|
||||
lifespan=create_lifespan,
|
||||
)
|
||||
|
||||
# 配置中间件
|
||||
setup_middleware(app)
|
||||
|
||||
# 注册路由
|
||||
register_routes(app)
|
||||
|
||||
# ===================== 服务启动 =====================
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
uvicorn.run(
|
||||
app,
|
||||
host=args.host,
|
||||
port=args.port,
|
||||
access_log=True,
|
||||
)
|
||||
@@ -0,0 +1,11 @@
|
||||
[project]
|
||||
name = "codex2deepseek"
|
||||
version = "0.2.0"
|
||||
description = "OpenAI Responses API ↔ DeepSeek Chat API 流式转发代理"
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.12"
|
||||
dependencies = [
|
||||
"fastapi>=0.136.0",
|
||||
"uvicorn>=0.44.0",
|
||||
"requests>=2.28",
|
||||
]
|
||||
@@ -0,0 +1,11 @@
|
||||
"""路由注册入口
|
||||
|
||||
参照 PineSoundDesktop 项目结构，通过 register_routes() 统一注册所有路由。
|
||||
"""
|
||||
|
||||
from .proxy import router
|
||||
|
||||
|
||||
def register_routes(app):
|
||||
"""注册所有 API 路由"""
|
||||
app.include_router(router)
|
||||
@@ -0,0 +1,19 @@
|
||||
"""
|
||||
应用生命周期管理
|
||||
|
||||
通过 FastAPI lifespan 机制处理启动和关闭事件。
|
||||
"""
|
||||
|
||||
from contextlib import asynccontextmanager
|
||||
|
||||
|
||||
@asynccontextmanager
|
||||
async def create_lifespan(app):
|
||||
"""应用生命周期上下文管理器"""
|
||||
# ==================== 启动事件 ====================
|
||||
print("codex_deepseek_proxy starting ...")
|
||||
|
||||
yield
|
||||
|
||||
# ==================== 关闭事件 ====================
|
||||
print("codex_deepseek_proxy shutting down ...")
|
||||
@@ -0,0 +1,68 @@
|
||||
"""
|
||||
中间件配置
|
||||
|
||||
参照 PineSoundDesktop 项目结构集中管理中间件。
|
||||
"""
|
||||
|
||||
import json
|
||||
|
||||
from fastapi import Response
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
|
||||
from app.config import MODEL_MAP, DEFAULT_MODEL, MY_API_KEY
|
||||
|
||||
|
||||
def setup_middleware(app):
|
||||
"""配置所有中间件
|
||||
|
||||
Args:
|
||||
app: FastAPI 应用实例
|
||||
"""
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_credentials=True,
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
@app.middleware("http")
|
||||
async def auth_check(request, call_next):
|
||||
"""验证请求携带的 API Key 是否合法"""
|
||||
# OPTIONS 预检请求跳过验证
|
||||
if request.method == "OPTIONS":
|
||||
return await call_next(request)
|
||||
|
||||
auth = request.headers.get("Authorization", "")
|
||||
if auth.startswith("Bearer "):
|
||||
token = auth[7:]
|
||||
else:
|
||||
token = ""
|
||||
|
||||
if token != MY_API_KEY:
|
||||
return Response(
|
||||
content=json.dumps({
|
||||
"error": {"message": "Invalid API Key", "type": "auth_error"},
|
||||
}),
|
||||
status_code=401,
|
||||
media_type="application/json",
|
||||
)
|
||||
|
||||
return await call_next(request)
|
||||
|
||||
@app.middleware("http")
|
||||
async def resolve_model(request, call_next):
|
||||
"""拦截请求中的模型名称，按 MODEL_MAP 进行替换"""
|
||||
if request.method == "POST":
|
||||
body = await request.body()
|
||||
if body:
|
||||
try:
|
||||
data = json.loads(body)
|
||||
original = data.get("model")
|
||||
if original:
|
||||
resolved = MODEL_MAP.get(original, DEFAULT_MODEL)
|
||||
request.state.resolved_model = resolved
|
||||
except (json.JSONDecodeError, UnicodeDecodeError):
|
||||
pass
|
||||
response = await call_next(request)
|
||||
return response
|
||||
@@ -0,0 +1,60 @@
|
||||
"""
|
||||
代理路由模块
|
||||
|
||||
提供 OpenAI Responses API ↔ DeepSeek Chat API 的流式转发端点。
|
||||
"""
|
||||
|
||||
import uuid
|
||||
|
||||
from fastapi import APIRouter, Request
|
||||
from fastapi.responses import StreamingResponse
|
||||
|
||||
from app.config import MODEL_DEFAULT, DEEPSEEK_DEBUG
|
||||
from services.converter import extract_messages
|
||||
from services.stream import create_sse_generator, _log_debug
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
async def _handle_proxy(request: Request):
|
||||
"""处理 /responses 系列请求的核心逻辑"""
|
||||
req_data = await request.json()
|
||||
messages, tools, tool_choice = extract_messages(req_data)
|
||||
# 中间件 resolve_model 已解析的模型优先级最高
|
||||
effective_model = (
|
||||
getattr(request.state, "resolved_model", None)
|
||||
or req_data.get("model")
|
||||
or MODEL_DEFAULT
|
||||
)
|
||||
response_id = f"resp_{uuid.uuid4().hex[:12]}"
|
||||
|
||||
if DEEPSEEK_DEBUG:
|
||||
_log_debug(req_data, messages, tools, tool_choice, request.url.path)
|
||||
|
||||
stream_gen = create_sse_generator(
|
||||
messages, tools, tool_choice, effective_model, response_id, debug_path=request.url.path
|
||||
)
|
||||
|
||||
return StreamingResponse(
|
||||
stream_gen(),
|
||||
media_type="text/event-stream",
|
||||
headers={"Cache-Control": "no-cache", "X-Accel-Buffering": "no"},
|
||||
)
|
||||
|
||||
|
||||
@router.post("/responses")
|
||||
async def route_responses(request: Request):
|
||||
"""OpenAI Responses API 格式的流式代理端点"""
|
||||
return await _handle_proxy(request)
|
||||
|
||||
|
||||
@router.post("/v1/responses")
|
||||
async def route_v1_responses(request: Request):
|
||||
"""OpenAI Responses API (v1) 格式的流式代理端点"""
|
||||
return await _handle_proxy(request)
|
||||
|
||||
|
||||
@router.post("/v1/chat/completions")
|
||||
async def route_v1_chat(request: Request):
|
||||
"""Chat Completions API 格式的流式代理端点（兼容模式）"""
|
||||
return await _handle_proxy(request)
|
||||
@@ -0,0 +1 @@
|
||||
"""代理业务逻辑服务模块"""
|
||||
@@ -0,0 +1,205 @@
|
||||
"""
|
||||
消息格式转换模块
|
||||
|
||||
将 OpenAI Responses API 请求格式转换为 DeepSeek Chat Completions API 格式。
|
||||
"""
|
||||
|
||||
|
||||
def _clean_schema(obj):
|
||||
"""递归清除 JSON Schema 中 DeepSeek 不支持的字段"""
|
||||
if not isinstance(obj, dict):
|
||||
return obj
|
||||
cleaned = {}
|
||||
for k, v in obj.items():
|
||||
if k in ("additionalProperties", "strict"):
|
||||
continue
|
||||
if isinstance(v, dict):
|
||||
cleaned[k] = _clean_schema(v)
|
||||
elif isinstance(v, list):
|
||||
cleaned[k] = [_clean_schema(i) if isinstance(i, dict) else i for i in v]
|
||||
else:
|
||||
cleaned[k] = v
|
||||
return cleaned
|
||||
|
||||
|
||||
def _convert_tools(tools: list) -> list:
|
||||
"""将工具定义从 Responses API 格式转换为 Chat Completions API 格式"""
|
||||
result = []
|
||||
for tool in tools:
|
||||
if not isinstance(tool, dict):
|
||||
continue
|
||||
if tool.get("type") != "function":
|
||||
continue
|
||||
func = {
|
||||
"name": tool.get("name", ""),
|
||||
"description": tool.get("description", ""),
|
||||
}
|
||||
if "parameters" in tool:
|
||||
func["parameters"] = _clean_schema(tool["parameters"])
|
||||
result.append({"type": "function", "function": func})
|
||||
return result
|
||||
|
||||
|
||||
def _convert_tool_choice(tc):
|
||||
"""将 tool_choice 从 Responses API 格式转换为 Chat Completions 格式"""
|
||||
if tc is None:
|
||||
return "auto"
|
||||
if isinstance(tc, str):
|
||||
return tc
|
||||
if isinstance(tc, dict) and tc.get("type") == "function":
|
||||
return {"type": "function", "function": {"name": tc.get("name", "")}}
|
||||
return "auto"
|
||||
|
||||
|
||||
def extract_messages(data: dict):
|
||||
"""
|
||||
从 Responses API 请求中提取 messages 列表、tools 列表和 tool_choice。
|
||||
|
||||
支持两种输入格式：
|
||||
- Responses API（input/instructions 字段）
|
||||
- Chat Completions API（messages 字段）
|
||||
|
||||
Returns:
|
||||
(messages, tools, tool_choice)
|
||||
"""
|
||||
ROLE_MAP = {"developer": "system"}
|
||||
raw_tools = data.get("tools", [])
|
||||
tools = _convert_tools(raw_tools)
|
||||
tool_choice = _convert_tool_choice(data.get("tool_choice"))
|
||||
|
||||
if "input" not in data:
|
||||
if "messages" in data:
|
||||
return data["messages"], tools, tool_choice
|
||||
return [], tools, tool_choice
|
||||
|
||||
inp = data["input"]
|
||||
if isinstance(inp, str):
|
||||
messages = []
|
||||
if "instructions" in data and data["instructions"]:
|
||||
messages.append({"role": "system", "content": data["instructions"]})
|
||||
messages.append({"role": "user", "content": inp})
|
||||
return messages, tools, tool_choice
|
||||
|
||||
if not isinstance(inp, list):
|
||||
return [], tools, tool_choice
|
||||
|
||||
messages = []
|
||||
if "instructions" in data and data["instructions"]:
|
||||
messages.append({"role": "system", "content": data["instructions"]})
|
||||
|
||||
pending_tool_calls = []
|
||||
pending_reasoning = ""
|
||||
|
||||
def _flush_tool_calls():
|
||||
nonlocal pending_tool_calls, pending_reasoning
|
||||
if pending_tool_calls:
|
||||
msg = {
|
||||
"role": "assistant",
|
||||
"content": "",
|
||||
"tool_calls": pending_tool_calls,
|
||||
}
|
||||
if pending_reasoning:
|
||||
msg["reasoning_content"] = pending_reasoning
|
||||
messages.append(msg)
|
||||
pending_tool_calls = []
|
||||
pending_reasoning = ""
|
||||
|
||||
for item in inp:
|
||||
if not isinstance(item, dict):
|
||||
continue
|
||||
item_type = item.get("type")
|
||||
|
||||
if item_type == "message":
|
||||
_flush_tool_calls()
|
||||
role = item.get("role", "user")
|
||||
role = ROLE_MAP.get(role, role)
|
||||
content = item.get("content", "")
|
||||
if isinstance(content, list):
|
||||
texts = []
|
||||
tool_calls = []
|
||||
for c in content:
|
||||
if not isinstance(c, dict):
|
||||
continue
|
||||
c_type = c.get("type")
|
||||
if c_type in ("text", "input_text", "output_text"):
|
||||
t = c.get("text", "")
|
||||
if t.strip():
|
||||
texts.append(t)
|
||||
elif c_type == "tool_call":
|
||||
tool_calls.append({
|
||||
"id": c.get("id", ""),
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": c.get("name", ""),
|
||||
"arguments": c.get("arguments", ""),
|
||||
},
|
||||
})
|
||||
text_content = "\n".join(texts)
|
||||
if tool_calls:
|
||||
msg = {"role": role, "content": text_content or ""}
|
||||
msg["tool_calls"] = tool_calls
|
||||
if item.get("reasoning_content"):
|
||||
msg["reasoning_content"] = item["reasoning_content"]
|
||||
messages.append(msg)
|
||||
elif text_content:
|
||||
msg = {"role": role, "content": text_content}
|
||||
if item.get("reasoning_content"):
|
||||
msg["reasoning_content"] = item["reasoning_content"]
|
||||
messages.append(msg)
|
||||
elif isinstance(content, str) and content.strip():
|
||||
msg = {"role": role, "content": content.strip()}
|
||||
if item.get("reasoning_content"):
|
||||
msg["reasoning_content"] = item["reasoning_content"]
|
||||
messages.append(msg)
|
||||
|
||||
elif item_type == "function_call":
|
||||
pending_tool_calls.append({
|
||||
"id": item.get("call_id", ""),
|
||||
"type": "function",
|
||||
"function": {
|
||||
"name": item.get("name", ""),
|
||||
"arguments": item.get("arguments", ""),
|
||||
},
|
||||
})
|
||||
if item.get("reasoning_content") and not pending_reasoning:
|
||||
pending_reasoning = item["reasoning_content"]
|
||||
|
||||
elif item_type == "function_call_output":
|
||||
_flush_tool_calls()
|
||||
messages.append({
|
||||
"role": "tool",
|
||||
"tool_call_id": item.get("call_id", ""),
|
||||
"content": item.get("output", ""),
|
||||
})
|
||||
|
||||
_flush_tool_calls()
|
||||
|
||||
# ---- 重排消息：确保 tool 消息紧跟对应的 assistant 消息 ----
|
||||
reordered = []
|
||||
i = 0
|
||||
while i < len(messages):
|
||||
msg = messages[i]
|
||||
if msg.get("role") == "assistant" and msg.get("tool_calls"):
|
||||
expected_ids = {tc["id"] for tc in msg["tool_calls"]}
|
||||
tool_msgs = []
|
||||
non_tool_msgs = []
|
||||
j = i + 1
|
||||
while j < len(messages) and expected_ids:
|
||||
nxt = messages[j]
|
||||
if nxt.get("role") == "tool" and nxt.get("tool_call_id") in expected_ids:
|
||||
expected_ids.remove(nxt["tool_call_id"])
|
||||
tool_msgs.append(nxt)
|
||||
elif nxt.get("role") in ("system", "developer"):
|
||||
non_tool_msgs.append(nxt)
|
||||
else:
|
||||
break
|
||||
j += 1
|
||||
reordered.extend(non_tool_msgs)
|
||||
reordered.append(msg)
|
||||
reordered.extend(tool_msgs)
|
||||
i = j
|
||||
else:
|
||||
reordered.append(msg)
|
||||
i += 1
|
||||
|
||||
return reordered, tools, tool_choice
|
||||
@@ -0,0 +1,551 @@
|
||||
"""
|
||||
SSE 流式生成模块
|
||||
|
||||
将 DeepSeek Chat Completions API 的流式响应转换为
|
||||
OpenAI Responses API 格式的 SSE 事件流。
|
||||
"""
|
||||
|
||||
import json
|
||||
import uuid
|
||||
from datetime import datetime
|
||||
|
||||
import requests
|
||||
|
||||
from app.config import DEEPSEEK_API_KEY, DEEPSEEK_URL, DEEPSEEK_DEBUG, DEBUG_LOG
|
||||
|
||||
|
||||
def _log_debug(req_data, messages, tools, tool_choice, debug_path):
|
||||
"""记录调试日志到文件"""
|
||||
with open(DEBUG_LOG, "a", encoding="utf-8") as f:
|
||||
f.write(f"\n--- [{datetime.now()}] PATH={debug_path} ---\n")
|
||||
f.write(f"Request body:\n{json.dumps(req_data, indent=2, ensure_ascii=False)}\n")
|
||||
f.write(f"Messages:\n{json.dumps(messages, indent=2, ensure_ascii=False)}\n")
|
||||
if tools:
|
||||
f.write(f"Tools count: {len(tools)}\n")
|
||||
f.write(f"Tool choice: {tool_choice}\n")
|
||||
|
||||
|
||||
def _log_debug_error(payload, messages, tools, err_msg, status_code, body):
|
||||
"""记录错误调试日志"""
|
||||
with open(DEBUG_LOG, "a", encoding="utf-8") as f:
|
||||
f.write(f"ERROR: {err_msg}\n")
|
||||
f.write(f"Payload sent (tools={len(tools)}, msgs={len(messages)}):\n")
|
||||
payload_copy = dict(payload)
|
||||
payload_copy.pop("messages", None)
|
||||
payload_copy.pop("tools", None)
|
||||
f.write(json.dumps(payload_copy, indent=2, ensure_ascii=False) + "\n")
|
||||
f.write(f"Messages ({len(messages)}):\n")
|
||||
f.write(json.dumps(messages, indent=2, ensure_ascii=False)[:3000] + "\n")
|
||||
f.write(f"Tools ({len(tools)}):\n")
|
||||
tools_str = json.dumps(tools, indent=2, ensure_ascii=False)
|
||||
f.write(tools_str[:5000] + ("...(truncated)" if len(tools_str) > 5000 else "") + "\n")
|
||||
total_size = len(json.dumps(payload, ensure_ascii=False))
|
||||
f.write(f"Total payload size: {total_size} bytes ({total_size/1024:.1f} KB)\n")
|
||||
|
||||
|
||||
def create_sse_generator(messages, tools, tool_choice, effective_model, response_id, debug_path=""):
|
||||
"""创建 SSE 流式事件生成器
|
||||
|
||||
Args:
|
||||
messages: 转换后的 Chat Completions 格式消息列表
|
||||
tools: 转换后的工具定义列表
|
||||
tool_choice: 工具选择策略
|
||||
effective_model: 使用的模型名称
|
||||
response_id: 响应 ID
|
||||
debug_path: 请求路径（用于调试日志）
|
||||
|
||||
Returns:
|
||||
生成 SSE 事件字符串的生成器函数
|
||||
"""
|
||||
|
||||
def generate():
|
||||
if not messages:
|
||||
yield "event: response.completed\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.completed",
|
||||
"response": {
|
||||
"id": response_id,
|
||||
"object": "response",
|
||||
"status": "completed",
|
||||
"model": effective_model,
|
||||
"output": [],
|
||||
"usage": {
|
||||
"input_tokens": 0,
|
||||
"output_tokens": 0,
|
||||
"total_tokens": 0,
|
||||
},
|
||||
},
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
return
|
||||
|
||||
# response.created
|
||||
yield "event: response.created\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.created",
|
||||
"response": {
|
||||
"id": response_id,
|
||||
"object": "response",
|
||||
"status": "in_progress",
|
||||
"model": effective_model,
|
||||
"output": [],
|
||||
"usage": None,
|
||||
},
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
|
||||
# response.in_progress
|
||||
yield "event: response.in_progress\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.in_progress",
|
||||
"response": {
|
||||
"id": response_id,
|
||||
"object": "response",
|
||||
"status": "in_progress",
|
||||
"model": effective_model,
|
||||
"output": [],
|
||||
"usage": None,
|
||||
},
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
|
||||
# 构建 DeepSeek 请求
|
||||
headers = {
|
||||
"Authorization": f"Bearer {DEEPSEEK_API_KEY}",
|
||||
"Content-Type": "application/json",
|
||||
}
|
||||
payload = {
|
||||
"model": effective_model,
|
||||
"messages": messages,
|
||||
"stream": True,
|
||||
"stream_options": {"include_usage": True},
|
||||
"thinking": {"type": "disabled"},
|
||||
}
|
||||
if tools:
|
||||
payload["tools"] = tools
|
||||
if tool_choice != "auto":
|
||||
payload["tool_choice"] = tool_choice
|
||||
|
||||
# 状态跟踪
|
||||
text_item_id = f"item_{uuid.uuid4().hex[:12]}"
|
||||
full_text = ""
|
||||
full_reasoning = ""
|
||||
has_text = False
|
||||
text_started = False
|
||||
|
||||
# 工具调用累积: index → {id, name, arguments, item_id, started}
|
||||
tool_calls_acc = {}
|
||||
|
||||
input_tokens = 0
|
||||
output_tokens = 0
|
||||
seq = 0
|
||||
|
||||
upstream = None
|
||||
try:
|
||||
upstream = requests.post(
|
||||
DEEPSEEK_URL,
|
||||
headers=headers,
|
||||
json=payload,
|
||||
stream=True,
|
||||
timeout=120,
|
||||
)
|
||||
upstream.raise_for_status()
|
||||
for line in upstream.iter_lines():
|
||||
if not line:
|
||||
continue
|
||||
line = line.decode("utf-8")
|
||||
if not line.startswith("data: "):
|
||||
continue
|
||||
raw = line[6:].strip()
|
||||
if raw == "[DONE]":
|
||||
continue
|
||||
try:
|
||||
chunk = json.loads(raw)
|
||||
except json.JSONDecodeError:
|
||||
continue
|
||||
|
||||
usage = chunk.get("usage")
|
||||
if usage:
|
||||
input_tokens = usage.get("prompt_tokens", 0)
|
||||
output_tokens = usage.get("completion_tokens", 0)
|
||||
|
||||
if "error" in chunk:
|
||||
err = chunk["error"]
|
||||
raise Exception(
|
||||
f"DeepSeek API error: {err.get('message', str(err))}"
|
||||
)
|
||||
|
||||
if "choices" not in chunk or not chunk["choices"]:
|
||||
continue
|
||||
|
||||
delta = chunk["choices"][0].get("delta", {})
|
||||
|
||||
# ---- 捕获 reasoning_content ----
|
||||
reasoning_delta = delta.get("reasoning_content", "")
|
||||
if reasoning_delta:
|
||||
full_reasoning += reasoning_delta
|
||||
|
||||
# ---- 处理文本内容 ----
|
||||
content = delta.get("content", "")
|
||||
if content:
|
||||
if not text_started:
|
||||
text_started = True
|
||||
has_text = True
|
||||
yield "event: response.output_item.added\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.output_item.added",
|
||||
"output_index": 0,
|
||||
"item": {
|
||||
"id": text_item_id,
|
||||
"type": "message",
|
||||
"status": "in_progress",
|
||||
"role": "assistant",
|
||||
"content": [],
|
||||
},
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
yield "event: response.content_part.added\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.content_part.added",
|
||||
"item_id": text_item_id,
|
||||
"output_index": 0,
|
||||
"content_index": 0,
|
||||
"part": {"type": "text", "text": ""},
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
full_text += content
|
||||
seq += 1
|
||||
yield "event: response.output_text.delta\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.output_text.delta",
|
||||
"delta": content,
|
||||
"item_id": text_item_id,
|
||||
"output_index": 0,
|
||||
"content_index": 0,
|
||||
"sequence_number": seq,
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
|
||||
# ---- 处理工具调用 ----
|
||||
for tc in delta.get("tool_calls", []):
|
||||
idx = tc.get("index", 0)
|
||||
if idx not in tool_calls_acc:
|
||||
item_id = f"item_{uuid.uuid4().hex[:12]}"
|
||||
tool_calls_acc[idx] = {
|
||||
"id": "",
|
||||
"name": "",
|
||||
"arguments": "",
|
||||
"item_id": item_id,
|
||||
"started": False,
|
||||
}
|
||||
|
||||
acc = tool_calls_acc[idx]
|
||||
if tc.get("id"):
|
||||
acc["id"] = tc["id"]
|
||||
func = tc.get("function", {})
|
||||
if func.get("name"):
|
||||
acc["name"] = func["name"]
|
||||
|
||||
args_delta = func.get("arguments", "")
|
||||
if args_delta:
|
||||
acc["arguments"] += args_delta
|
||||
out_idx = (
|
||||
1 if has_text else 0
|
||||
) + sorted(tool_calls_acc.keys()).index(idx)
|
||||
|
||||
if not acc["started"]:
|
||||
acc["started"] = True
|
||||
yield "event: response.output_item.added\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.output_item.added",
|
||||
"output_index": out_idx,
|
||||
"item": {
|
||||
"id": acc["item_id"],
|
||||
"type": "function_call",
|
||||
"status": "in_progress",
|
||||
"call_id": acc["id"],
|
||||
"name": acc["name"],
|
||||
"arguments": "",
|
||||
},
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
|
||||
yield "event: response.function_call_arguments.delta\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.function_call_arguments.delta",
|
||||
"item_id": acc["item_id"],
|
||||
"output_index": out_idx,
|
||||
"delta": args_delta,
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
|
||||
# ===== 流结束后发出完成事件 =====
|
||||
|
||||
# 文本完成
|
||||
if has_text:
|
||||
yield "event: response.output_text.done\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.output_text.done",
|
||||
"text": full_text,
|
||||
"item_id": text_item_id,
|
||||
"output_index": 0,
|
||||
"content_index": 0,
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
yield "event: response.content_part.done\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.content_part.done",
|
||||
"item_id": text_item_id,
|
||||
"output_index": 0,
|
||||
"content_index": 0,
|
||||
"part": {"type": "text", "text": full_text},
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
text_output_item = {
|
||||
"id": text_item_id,
|
||||
"type": "message",
|
||||
"status": "completed",
|
||||
"role": "assistant",
|
||||
"content": [{"type": "text", "text": full_text}],
|
||||
}
|
||||
if full_reasoning:
|
||||
text_output_item["reasoning_content"] = full_reasoning
|
||||
yield "event: response.output_item.done\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.output_item.done",
|
||||
"output_index": 0,
|
||||
"item": text_output_item,
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
|
||||
# 工具调用完成
|
||||
output_items = []
|
||||
if has_text:
|
||||
output_items.append({
|
||||
"id": text_item_id,
|
||||
"type": "message",
|
||||
"status": "completed",
|
||||
"role": "assistant",
|
||||
"content": [{"type": "text", "text": full_text}],
|
||||
**({"reasoning_content": full_reasoning} if full_reasoning else {}),
|
||||
})
|
||||
|
||||
for idx in sorted(tool_calls_acc.keys()):
|
||||
acc = tool_calls_acc[idx]
|
||||
out_idx = (1 if has_text else 0) + sorted(tool_calls_acc.keys()).index(
|
||||
idx
|
||||
)
|
||||
|
||||
yield "event: response.function_call_arguments.done\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.function_call_arguments.done",
|
||||
"item_id": acc["item_id"],
|
||||
"output_index": out_idx,
|
||||
"arguments": acc["arguments"],
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
|
||||
func_item = {
|
||||
"id": acc["item_id"],
|
||||
"type": "function_call",
|
||||
"status": "completed",
|
||||
"call_id": acc["id"],
|
||||
"name": acc["name"],
|
||||
"arguments": acc["arguments"],
|
||||
}
|
||||
if full_reasoning:
|
||||
func_item["reasoning_content"] = full_reasoning
|
||||
yield "event: response.output_item.done\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.output_item.done",
|
||||
"output_index": out_idx,
|
||||
"item": func_item,
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
|
||||
output_items.append({
|
||||
"id": acc["item_id"],
|
||||
"type": "function_call",
|
||||
"status": "completed",
|
||||
"call_id": acc["id"],
|
||||
"name": acc["name"],
|
||||
"arguments": acc["arguments"],
|
||||
**({"reasoning_content": full_reasoning} if full_reasoning else {}),
|
||||
})
|
||||
|
||||
# response.completed
|
||||
yield "event: response.completed\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.completed",
|
||||
"response": {
|
||||
"id": response_id,
|
||||
"object": "response",
|
||||
"status": "completed",
|
||||
"model": effective_model,
|
||||
"output": output_items,
|
||||
"usage": {
|
||||
"input_tokens": input_tokens
|
||||
or max(1, len(json.dumps(messages)) // 4),
|
||||
"output_tokens": output_tokens
|
||||
or max(1, len(full_text) // 4),
|
||||
"total_tokens": (input_tokens + output_tokens)
|
||||
or max(
|
||||
1,
|
||||
len(json.dumps(messages)) // 4 + len(full_text) // 4,
|
||||
),
|
||||
},
|
||||
},
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
|
||||
except requests.exceptions.HTTPError as e:
|
||||
body = ""
|
||||
try:
|
||||
if upstream is not None:
|
||||
body = upstream.text[:2000]
|
||||
except Exception:
|
||||
body = "(unable to read error body)"
|
||||
err_msg = f"DeepSeek API {e.response.status_code}: {body}"
|
||||
if DEEPSEEK_DEBUG:
|
||||
_log_debug_error(payload, messages, tools, err_msg, e.response.status_code, body)
|
||||
yield "event: response.failed\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.failed",
|
||||
"response": {
|
||||
"id": response_id,
|
||||
"object": "response",
|
||||
"status": "failed",
|
||||
"model": effective_model,
|
||||
"error": {
|
||||
"message": err_msg,
|
||||
"type": "upstream_error",
|
||||
},
|
||||
"output": [],
|
||||
"usage": None,
|
||||
},
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
|
||||
except requests.exceptions.RequestException as e:
|
||||
yield "event: response.failed\n"
|
||||
yield (
|
||||
"data: "
|
||||
+ json.dumps(
|
||||
{
|
||||
"type": "response.failed",
|
||||
"response": {
|
||||
"id": response_id,
|
||||
"object": "response",
|
||||
"status": "failed",
|
||||
"model": effective_model,
|
||||
"error": {
|
||||
"message": str(e),
|
||||
"type": "upstream_error",
|
||||
},
|
||||
"output": [],
|
||||
"usage": None,
|
||||
},
|
||||
},
|
||||
ensure_ascii=False,
|
||||
)
|
||||
+ "\n\n"
|
||||
)
|
||||
|
||||
finally:
|
||||
if upstream is not None:
|
||||
try:
|
||||
upstream.close()
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
return generate
|
||||
@@ -0,0 +1,349 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.12"
|
||||
|
||||
[[package]]
|
||||
name = "annotated-doc"
|
||||
version = "0.0.4"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = "sha256:fbcda96e87e9c92ad167c2e53839e57503ecfda18804ea28102353485033faa4", size = 7288, upload-time = "2025-11-10T22:07:42.062Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1e/d3/26bf1008eb3d2daa8ef4cacc7f3bfdc11818d111f7e2d0201bc6e3b49d45/annotated_doc-0.0.4-py3-none-any.whl", hash = "sha256:571ac1dc6991c450b25a9c2d84a3705e2ae7a53467b5d111c24fa8baabbed320", size = 5303, upload-time = "2025-11-10T22:07:40.673Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
version = "0.7.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "anyio"
|
||||
version = "4.13.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "idna" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "certifi"
|
||||
version = "2026.5.20"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/f3/ce/ee2ecad540810a79593028e88299baeae54d346cc7a0d94b6199988b89b1/certifi-2026.5.20.tar.gz", hash = "sha256:69dea482ab64caa7b9f6aba1c6bf48bb6a5448d1c0f1b17ab42ad8c763a5344d", size = 135422, upload-time = "2026-05-20T11:46:50.073Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/59/8c/57e832b7af6d7c5abe66eb3fbe3a3a32f4d11ea23a1aa7131371035be991/certifi-2026.5.20-py3-none-any.whl", hash = "sha256:3c52e209ba0a4ad7aebe60436a4ab349c39e1e602e8c134221e546902ad25897", size = 134134, upload-time = "2026-05-20T11:46:48.578Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "charset-normalizer"
|
||||
version = "3.4.7"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e7/a1/67fe25fac3c7642725500a3f6cfe5821ad557c3abb11c9d20d12c7008d3e/charset_normalizer-3.4.7.tar.gz", hash = "sha256:ae89db9e5f98a11a4bf50407d4363e7b09b31e55bc117b4f7d80aab97ba009e5", size = 144271, upload-time = "2026-04-02T09:28:39.342Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/0c/eb/4fc8d0a7110eb5fc9cc161723a34a8a6c200ce3b4fbf681bc86feee22308/charset_normalizer-3.4.7-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:eca9705049ad3c7345d574e3510665cb2cf844c2f2dcfe675332677f081cbd46", size = 311328, upload-time = "2026-04-02T09:26:24.331Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f8/e3/0fadc706008ac9d7b9b5be6dc767c05f9d3e5df51744ce4cc9605de7b9f4/charset_normalizer-3.4.7-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6178f72c5508bfc5fd446a5905e698c6212932f25bcdd4b47a757a50605a90e2", size = 208061, upload-time = "2026-04-02T09:26:25.568Z" },
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Reference in New Issue
Block a user