拆分 server.py 为模块化路由架构，修复 Token 生成排序问题
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CLAUDE.md
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CLAUDE.md
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# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## 项目概述
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RTC AIGC Demo — 基于火山引擎 RTC SDK 的实时 AI 语音对话演示应用，前后端分离架构。前端 React + TypeScript，后端 Python FastAPI。
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## 常用命令
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### 前端 (frontend/)
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```bash
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cd frontend
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npm install # 安装依赖
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npm run dev # 开发服务器 (localhost:3000)
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npm run build # 生产构建
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npm run eslint # ESLint 检查并修复
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npm run stylelint # LESS 样式检查
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npm run prettier # 代码格式化
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npm run test # 运行测试
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```
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### 后端 (backend/)
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```bash
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cd backend
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cp .env.example .env # 首次需复制环境变量配置
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uv sync # 安装依赖（使用 uv 包管理器）
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uv run uvicorn server:app --host 0.0.0.0 --port 3001 --reload # 启动开发服务器
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```
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## 架构
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### 前后端通信
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- 前端默认连接 `http://localhost:3001`（配置在 `frontend/src/config/index.ts` 的 `AIGC_PROXY_HOST`）
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- 后端 FastAPI 入口：`backend/server.py`
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### 前端核心模块
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- **状态管理**: Redux Toolkit，两个 slice：`store/slices/room.ts`（房间状态）、`store/slices/device.ts`（设备状态）
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- **RTC 封装**: `src/lib/RtcClient.ts` 封装 `@volcengine/rtc` SDK
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- **API 层**: `src/app/api.ts` 定义 `getScenes`、`StartVoiceChat`、`StopVoiceChat` 接口
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- **页面结构**: `pages/MainPage/` 包含 Room（通话中）和 Antechamber（通话前）两个主要区域
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- **路径别名**: `@/` → `src/`（通过 craco + tsconfig paths 配置）
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- **UI 组件库**: Arco Design
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- **CSS**: LESS
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### 后端核心模块
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- **场景配置**: `config/custom_scene.py` — 从环境变量构建场景配置，自动生成 RoomId/UserId/Token
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- **API 代理**: `/proxy` 端点转发请求到火山引擎 RTC OpenAPI（含请求签名）
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- **LLM 集成**: `services/local_llm_service.py` — Ark SDK 对接，SSE 流式响应
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- **请求签名**: `security/signer.py`
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- **Token 生成**: `security/rtc_token.py`
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### LLM 模式
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通过 `CUSTOM_LLM_MODE` 环境变量切换：
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- `ArkV3`: 直接使用火山方舟 LLM
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- `CustomLLM`: 自定义 LLM 回调（`/api/chat_callback` 端点）
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### 关键环境变量（backend/.env）
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- `CUSTOM_ACCESS_KEY_ID` / `CUSTOM_SECRET_KEY`: 火山引擎凭证
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- `CUSTOM_RTC_APP_ID` / `CUSTOM_RTC_APP_KEY`: RTC 应用配置
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- `CUSTOM_LLM_MODE` + 对应 LLM 配置
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- `CUSTOM_ASR_APP_ID` / `CUSTOM_TTS_APP_ID`: 语音识别/合成配置
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- `CUSTOM_AVATAR_*`: 数字人配置（可选）
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58
README.md
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README.md
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# 交互式AIGC场景 AIGC Demo
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此 Demo 为简化版本, 如您有 1.5.x 版本 UI 的诉求, 可切换至 1.5.1 分支。
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跑通阶段时, 无须关心代码实现，仅需按需完成 `backend/scenes/*.json` 的场景信息填充即可。
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跑通阶段时, 无须关心代码实现。当前推荐直接使用 `backend/.env` + `backend/config/custom_scene.py` 完成 `Custom` 场景配置。
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## 简介
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- 在 AIGC 对话场景下，火山引擎 AIGC-RTC Server 云端服务，通过整合 RTC 音视频流处理，ASR 语音识别，大模型接口调用集成，以及 TTS 语音生成等能力，提供基于流式语音的端到端AIGC能力链路。
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@ -22,28 +22,66 @@
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开通 ASR、TTS、LLM、RTC 等服务，可参考 [开通服务](https://www.volcengine.com/docs/6348/1315561?s=g) 进行相关服务的授权与开通。
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### 3. 场景配置
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`backend/scenes/*.json`
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当前真正生效的主配置入口是 `backend/.env` + `backend/config/custom_scene.py`。
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您可以自定义具体场景, 并按需根据模版填充 `SceneConfig`、`AccountConfig`、`RTCConfig`、`VoiceChat` 中需要的参数。
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Demo 中以 `Custom` 场景为例，您可以自行新增场景。
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Demo 中以 `Custom` 场景为例，您也可以自行新增其他 JSON 场景。
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`Custom` 场景建议先执行以下步骤：
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```shell
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cp backend/.env.example backend/.env
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```
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注意：
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- `SceneConfig`：场景的信息，例如名称、头像等。
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- `AccountConfig`：场景下的账号信息，https://console.volcengine.com/iam/keymanage/ 获取 AK/SK。
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- `AccountConfig`：`Custom` 场景默认从 `backend/.env` 读取 AK/SK，其他场景仍在 JSON 中配置。
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- `RTCConfig`：场景下的 RTC 配置。
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- AppId、AppKey 可从 https://console.volcengine.com/rtc/aigc/listRTC 中获取。
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- `Custom` 场景的 AppId、AppKey、RoomId、UserId、Token 可通过 `backend/.env` 注入。
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- RoomId、UserId 可自定义也可不填，交由服务端生成。
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- `VoiceChat`: 场景下的 AIGC 配置。
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- `Custom` 场景的 TaskId、Agent 用户信息、欢迎语、System Message 以及 LLM 模式参数均通过 `backend/.env` 注入。
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- 支持 `ArkV3` 与 `CustomLLM` 两种模式；`CustomLLM` 当前推荐“当前 backend 内置本地回调 + ngrok 暴露公网地址”这条接法。
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- 可参考 https://www.volcengine.com/docs/6348/1558163 中参数描述，完整填写参数内容。
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- 可通过 [快速跑通 Demo](https://console.volcengine.com/rtc/aigc/run?s=g) 快速获取参数, 跑通后点击右上角 `接入 API` 按钮复制相关代码贴到 JSON 配置文件中即可。
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- `ASRConfig`、`TTSConfig`、`AvatarConfig` 等复杂结构由 `backend/config/custom_scene.py` 维护默认值，并从 `backend/.env` 读取关键运行参数。
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- 当前首版默认不启用 RAG 主链路，`backend/services/rag_service.py` 仅保留为后续扩展位。
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- 可通过 [快速跑通 Demo](https://console.volcengine.com/rtc/aigc/run?s=g) 快速获取参数，再分别填入 `backend/.env` 和 `backend/config/custom_scene.py` 的默认结构中。
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### 第三方 CustomLLM 接入
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如果你要把本地服务接成 `CustomLLM`，推荐直接让当前 `backend` 自己提供回调接口：
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```dotenv
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CUSTOM_LLM_MODE=CustomLLM
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CUSTOM_LLM_URL=http://127.0.0.1:3001/api/chat_callback
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CUSTOM_LLM_MODEL_NAME=my-model
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CUSTOM_LLM_API_KEY=your-callback-token
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ARK_API_KEY=your-ark-api-key
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ARK_ENDPOINT_ID=your-ark-endpoint-id
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```
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本地起好 `backend` 以后，用 `ngrok` 暴露 `3001` 端口，再把 `CUSTOM_LLM_URL` 改成公网地址：
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```dotenv
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CUSTOM_LLM_URL=https://your-ngrok-domain.ngrok-free.app/api/chat_callback
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```
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说明：
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- `CUSTOM_LLM_URL` 是写进 `StartVoiceChat.LLMConfig.Url` 的地址
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- 默认可以先用本地地址启动服务，等 `ngrok` 跑起来后再改成公网 `https` 地址
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- 当前 backend 内置的固定回调路由是 `POST /api/chat_callback`
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- `RTC_OPENAPI_VERSION` 默认使用 `2025-06-01`
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## 快速开始
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请注意，服务端和 Web 端都需要启动, 启动步骤如下:
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### 后端服务（Python FastAPI）
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```shell
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cd backend
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cp .env.example .env
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uv sync
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uv run uvicorn main:app --host 0.0.0.0 --port 3001 --reload
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uv run uvicorn server:app --host 0.0.0.0 --port 3001 --reload
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```
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### 前端页面
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@ -56,16 +94,16 @@ npm run dev
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### 常见问题
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| 问题 | 解决方案 |
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| :-- | :-- |
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| 如何使用第三方模型、Coze Bot | 模型相关配置代码对应目录 `src/config/scenes/` 下json 文件，填写对应官方模型/ Coze/ 第三方模型的参数后，可点击页面上的 "修改 AI 人设" 进行切换。 |
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| 如何使用第三方模型、Coze Bot | 当前主配置入口是 `backend/.env` + `backend/config/custom_scene.py`。如果接自己的模型，推荐使用当前 backend 内置的 `/api/chat_callback` 作为 `CustomLLM` 回调接口，再通过 `ngrok` 暴露公网地址，并把它填到 `CUSTOM_LLM_URL`。 |
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| **启动智能体之后, 对话无反馈，或者一直停留在 "AI 准备中, 请稍侯"；在启用数字人的情况下，一直停留在“数字人准备中，请稍候”** | <li>可能因为控制台中相关权限没有正常授予，请参考[流程](https://www.volcengine.com/docs/6348/1315561?s=g)再次确认下是否完成相关操作。此问题的可能性较大，建议仔细对照是否已经将相应的权限开通。</li><li>参数传递可能有问题, 例如参数大小写、类型等问题，请再次确认下这类型问题是否存在。</li><li>相关资源可能未开通或者用量不足/欠费，请再次确认。</li><li>**请检查当前使用的模型 ID / 数字人 AppId / Token 等内容都是正确且可用的。**</li><li>数字人服务有并发限制，当达到并发限制时，同样会表现为一直停留在“数字人准备中”状态</li> |
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| **浏览器报了 `Uncaught (in promise) r: token_error` 错误** | 请检查您填在项目中的 RTC Token 是否合法，检测用于生成 Token 的 UserId、RoomId 以及 Token 本身是否与项目中填写的一致；或者 Token 可能过期, 可尝试重新生成下。 |
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| **[StartVoiceChat]Failed(Reason: The task has been started. Please do not call the startup task interface repeatedly.)** 报错 | 如果设置的 RoomId、UserId 为固定值，重复调用 startAgent 会导致出错，只需先调用 stopAgent 后再重新 startAgent 即可。 |
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| 为什么麦克风、摄像头开启失败？浏览器报了`TypeError: Cannot read properties of undefined (reading 'getUserMedia')` | 检查当前页面是否为[安全上下文](https://developer.mozilla.org/zh-CN/docs/Web/Security/Secure_Contexts)（简单来说，检查当前页面是否为 `localhost` 或者 是否为 https 协议）。浏览器[限制](https://developer.mozilla.org/zh-CN/docs/Web/Security/Secure_Contexts/features_restricted_to_secure_contexts) `getUserMedia` 只能在安全上下文中使用。 |
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| 为什么我的麦克风正常、摄像头也正常，但是设备没有正常工作? | 可能是设备权限未授予，详情可参考 [Web 排查设备权限获取失败问题](https://www.volcengine.com/docs/6348/1356355?s=g)。 |
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| 接口调用时, 返回 "Invalid 'Authorization' header, Pls check your authorization header" 错误 | `backend/scenes/*.json` 中的 AK/SK 不正确 |
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| 接口调用时, 返回 "Invalid 'Authorization' header, Pls check your authorization header" 错误 | `Custom` 场景请检查 `backend/.env` 中的 `CUSTOM_ACCESS_KEY_ID` / `CUSTOM_SECRET_KEY`；其他场景请检查对应 `backend/scenes/*.json` 中的 AK/SK |
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| 什么是 RTC | **R**eal **T**ime **C**ommunication, RTC 的概念可参考[官网文档](https://www.volcengine.com/docs/6348/66812?s=g)。 |
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| 不清楚什么是主账号，什么是子账号 | 可以参考[官方概念](https://www.volcengine.com/docs/6257/64963?hyperlink_open_type=lark.open_in_browser&s=g) 。|
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| 我有自己的服务端了, 我应该怎么让前端调用我的服务端呢 | 修改 `src/config/index.ts` 中的 `AIGC_PROXY_HOST` 请求域名和接口并在 `src/app/api.ts` 中修改接口参数配置 `APIS_CONFIG` |
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| 我有自己的服务端了, 我应该怎么让前端调用我的服务端呢 | 修改 `frontend/src/config/index.ts` 中的 `AIGC_PROXY_HOST` 请求域名；如需同步调整接口路由，可再看 `frontend/src/app/api.ts` 里的 `BasicAPIs` / `AigcAPIs` |
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如果有上述以外的问题，欢迎联系我们反馈。
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@ -97,4 +135,4 @@ npm run dev
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- 更新 UI 和参数配置方式
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- 更新 Readme 文档
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- 追加 Node 服务的参数检测能力
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- 追加 Node 服务的 Token 生成能力
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- 追加 Node 服务的 Token 生成能力
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backend/.env.example
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# RTC OpenAPI 版本
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RTC_OPENAPI_VERSION=2025-06-01
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# Custom 场景基础配置
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CUSTOM_ACCESS_KEY_ID=your-access-key-id
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CUSTOM_SECRET_KEY=your-secret-key
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CUSTOM_RTC_APP_ID=your-rtc-app-id
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CUSTOM_RTC_APP_KEY=
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# 留空时由服务端自动生成 RoomId / UserId / Token
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CUSTOM_RTC_ROOM_ID=
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CUSTOM_RTC_USER_ID=
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CUSTOM_RTC_TOKEN=
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# Custom 场景业务配置
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CUSTOM_TASK_ID=your-task-id
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CUSTOM_AGENT_USER_ID=your-agent-user-id
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CUSTOM_AGENT_TARGET_USER_ID=
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CUSTOM_AGENT_WELCOME_MESSAGE=你好，我是小乖，有什么需要帮忙的吗？
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CUSTOM_SCENE_NAME=自定义助手
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CUSTOM_SCENE_ICON=https://lf3-rtc-demo.volccdn.com/obj/rtc-aigc-assets/DoubaoAvatar.png
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CUSTOM_INTERRUPT_MODE=0
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# LLM 公共配置
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CUSTOM_LLM_MODE=ArkV3
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CUSTOM_LLM_SYSTEM_MESSAGE=你是小乖，性格幽默又善解人意。你在表达时需简明扼要，有自己的观点。
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CUSTOM_LLM_VISION_ENABLE=false
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CUSTOM_LLM_THINKING_TYPE=disabled
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# ArkV3 模式
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CUSTOM_LLM_ENDPOINT_ID=your-ark-endpoint-id
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# CustomLLM 模式
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# 本地调试时，可先保持默认本地回调地址。
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# 等 ngrok 跑起来后，再把 CUSTOM_LLM_URL 改成公网 https 地址，例如：
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# https://your-ngrok-domain.ngrok-free.app/api/chat_callback
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CUSTOM_LLM_URL=http://127.0.0.1:3001/api/chat_callback
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# 火山调用当前 backend 的 /api/chat_callback 时使用的 Bearer Token，可留空
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CUSTOM_LLM_API_KEY=
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CUSTOM_LLM_MODEL_NAME=
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CUSTOM_LLM_HISTORY_LENGTH=
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CUSTOM_LLM_PREFILL=
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CUSTOM_LLM_CUSTOM=
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CUSTOM_LLM_EXTRA_HEADER_JSON=
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CUSTOM_LLM_ENABLE_PARALLEL_TOOL_CALLS=
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CUSTOM_LLM_TEMPERATURE=
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CUSTOM_LLM_TOP_P=
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CUSTOM_LLM_MAX_TOKENS=
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# 当前 backend 内置的本地 Ark 回调配置
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# /api/chat_callback 会直接使用这组配置调用方舟
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ARK_API_KEY=
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ARK_ENDPOINT_ID=
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ARK_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
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ARK_TIMEOUT_SECONDS=1800
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LOCAL_LLM_SYSTEM_PROMPT= "你是一个测试助手。如果别人问你是谁，你就说你是哈哈哈。"
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LOCAL_LLM_TEMPERATURE=0.3
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# 可选 RAG 占位配置
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# 当前首版默认未启用主链路 RAG，如需后续接入，可再填写这两个配置
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RAG_STATIC_CONTEXT=
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RAG_CONTEXT_FILE=
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# ASR / TTS
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CUSTOM_ASR_APP_ID=your-asr-app-id
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CUSTOM_TTS_APP_ID=your-tts-app-id
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CUSTOM_ASR_PROVIDER=volcano
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CUSTOM_ASR_MODE=smallmodel
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CUSTOM_ASR_CLUSTER=volcengine_streaming_common
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CUSTOM_TTS_PROVIDER=volcano
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CUSTOM_TTS_CLUSTER=volcano_tts
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CUSTOM_TTS_VOICE_TYPE=BV001_streaming
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CUSTOM_TTS_SPEED_RATIO=1
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CUSTOM_TTS_PITCH_RATIO=1
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CUSTOM_TTS_VOLUME_RATIO=1
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# 数字人配置
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CUSTOM_AVATAR_ENABLED=false
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CUSTOM_AVATAR_TYPE=3min
|
||||
CUSTOM_AVATAR_ROLE=250623-zhibo-linyunzhi
|
||||
CUSTOM_AVATAR_BACKGROUND_URL=
|
||||
CUSTOM_AVATAR_VIDEO_BITRATE=2000
|
||||
CUSTOM_AVATAR_APP_ID=
|
||||
CUSTOM_AVATAR_TOKEN=
|
||||
@ -1,6 +1,10 @@
|
||||
# AIGC Backend (Python FastAPI)
|
||||
# AIGC Backend（Python FastAPI）
|
||||
|
||||
原 Node.js + Koa 服务的 Python 重写版本，使用 FastAPI 框架。
|
||||
这是当前 Demo 的后端服务，负责三件事：
|
||||
|
||||
- 根据 `backend/.env` 与 `backend/config/custom_scene.py` 构建 `Custom` 场景配置
|
||||
- 代理调用火山 RTC OpenAPI
|
||||
- 在同一个 FastAPI 进程里提供本地 `CustomLLM` 回调接口 `/api/chat_callback`
|
||||
|
||||
## 环境要求
|
||||
|
||||
@ -12,38 +16,175 @@
|
||||
uv sync
|
||||
```
|
||||
|
||||
## 场景配置
|
||||
|
||||
编辑 `scenes/*.json`，填写以下字段：
|
||||
|
||||
| 字段 | 说明 |
|
||||
|------|------|
|
||||
| `AccountConfig.accessKeyId` | 火山引擎 AK，从 https://console.volcengine.com/iam/keymanage/ 获取 |
|
||||
| `AccountConfig.secretKey` | 火山引擎 SK |
|
||||
| `RTCConfig.AppId` | RTC 应用 ID |
|
||||
| `RTCConfig.AppKey` | RTC 应用 Key（用于自动生成 Token） |
|
||||
| `VoiceChat.*` | AIGC 相关配置，参考 https://www.volcengine.com/docs/6348/1558163 |
|
||||
|
||||
## 启动服务
|
||||
## 启动方式
|
||||
|
||||
```shell
|
||||
uvicorn main:app --host 0.0.0.0 --port 3001 --reload
|
||||
uv run uvicorn server:app --host 0.0.0.0 --port 3001 --reload
|
||||
```
|
||||
|
||||
服务启动后监听 `http://localhost:3001`。
|
||||
服务默认监听 `http://localhost:3001`。
|
||||
|
||||
## 配置方式
|
||||
|
||||
`Custom` 场景固定使用：
|
||||
|
||||
- `backend/.env`
|
||||
- `backend/config/custom_scene.py`
|
||||
|
||||
不再依赖 `backend/scenes/Custom.json`。
|
||||
|
||||
先复制示例配置：
|
||||
|
||||
```shell
|
||||
cp .env.example .env
|
||||
```
|
||||
|
||||
### 必填基础配置
|
||||
|
||||
| 变量名 | 说明 |
|
||||
| --- | --- |
|
||||
| `CUSTOM_ACCESS_KEY_ID` | 火山引擎 AK |
|
||||
| `CUSTOM_SECRET_KEY` | 火山引擎 SK |
|
||||
| `CUSTOM_RTC_APP_ID` | RTC 应用 ID，同时作为 `RTCConfig.AppId` 和 `VoiceChat.AppId` |
|
||||
| `CUSTOM_TASK_ID` | AIGC 任务 ID |
|
||||
| `CUSTOM_AGENT_USER_ID` | 智能体用户 ID |
|
||||
| `CUSTOM_AGENT_WELCOME_MESSAGE` | 智能体欢迎语 |
|
||||
| `CUSTOM_LLM_SYSTEM_MESSAGE` | System Message |
|
||||
| `CUSTOM_ASR_APP_ID` | ASR 应用 ID |
|
||||
| `CUSTOM_TTS_APP_ID` | TTS 应用 ID |
|
||||
|
||||
### RTC 相关配置
|
||||
|
||||
| 变量名 | 说明 |
|
||||
| --- | --- |
|
||||
| `CUSTOM_RTC_APP_KEY` | 未提供 `CUSTOM_RTC_TOKEN` 时，用于自动生成 Token |
|
||||
| `CUSTOM_RTC_ROOM_ID` | 房间 ID，留空时服务端自动生成 |
|
||||
| `CUSTOM_RTC_USER_ID` | 用户 ID，留空时服务端自动生成 |
|
||||
| `CUSTOM_RTC_TOKEN` | RTC Token；留空时服务端会自动生成 |
|
||||
| `RTC_OPENAPI_VERSION` | `StartVoiceChat/StopVoiceChat` 使用的 OpenAPI 版本，默认 `2025-06-01` |
|
||||
|
||||
### LLM 模式一：ArkV3
|
||||
|
||||
```dotenv
|
||||
CUSTOM_LLM_MODE=ArkV3
|
||||
CUSTOM_LLM_ENDPOINT_ID=your-ark-endpoint-id
|
||||
```
|
||||
|
||||
### LLM 模式二：CustomLLM 本地回调
|
||||
|
||||
这个模式不是再起一个额外代理服务，而是直接由当前 `backend` 自己对外提供回调接口：
|
||||
|
||||
```dotenv
|
||||
CUSTOM_LLM_MODE=CustomLLM
|
||||
CUSTOM_LLM_URL=http://127.0.0.1:3001/api/chat_callback
|
||||
CUSTOM_LLM_API_KEY=your-callback-token
|
||||
CUSTOM_LLM_MODEL_NAME=my-model
|
||||
```
|
||||
|
||||
推荐调试流程：
|
||||
|
||||
1. 先启动当前 `backend`
|
||||
2. 用 `ngrok` 暴露 `3001` 端口
|
||||
3. 把 `CUSTOM_LLM_URL` 改成公网地址，例如：
|
||||
|
||||
```dotenv
|
||||
CUSTOM_LLM_URL=https://your-ngrok-domain.ngrok-free.app/api/chat_callback
|
||||
```
|
||||
|
||||
`CUSTOM_LLM_API_KEY` 是火山调用你这个本地回调接口时带上的 Bearer Token；如果你不需要这层鉴权，可以留空。
|
||||
|
||||
### 当前 backend 内置的 Ark 配置
|
||||
|
||||
`/api/chat_callback` 内部会直接调用方舟 SDK，因此还需要：
|
||||
|
||||
```dotenv
|
||||
ARK_API_KEY=your-ark-api-key
|
||||
ARK_ENDPOINT_ID=your-ark-endpoint-id
|
||||
ARK_BASE_URL=https://ark.cn-beijing.volces.com/api/v3
|
||||
ARK_TIMEOUT_SECONDS=1800
|
||||
LOCAL_LLM_SYSTEM_PROMPT=
|
||||
LOCAL_LLM_TEMPERATURE=0.3
|
||||
```
|
||||
|
||||
如果 `LOCAL_LLM_SYSTEM_PROMPT` 留空，会回退使用 `CUSTOM_LLM_SYSTEM_MESSAGE`。
|
||||
|
||||
### 可选 RAG 占位配置
|
||||
|
||||
当前仓库内置了一个最小 RAG 占位实现，但首版默认不接入主链路，支持两种输入来源：
|
||||
|
||||
```dotenv
|
||||
RAG_STATIC_CONTEXT=
|
||||
RAG_CONTEXT_FILE=
|
||||
```
|
||||
|
||||
- `RAG_STATIC_CONTEXT`：直接写死一段知识文本
|
||||
- `RAG_CONTEXT_FILE`：从本地文件读取全文作为知识上下文
|
||||
|
||||
后续如果你要接真实向量检索，直接替换 `services/rag_service.py` 里的 `retrieve`，再把 `server.py` 主链路接回去即可。
|
||||
|
||||
### CustomLLM 可选参数
|
||||
|
||||
| 变量名 | 说明 |
|
||||
| --- | --- |
|
||||
| `CUSTOM_LLM_HISTORY_LENGTH` | 历史轮数 |
|
||||
| `CUSTOM_LLM_PREFILL` | 是否开启 Prefill |
|
||||
| `CUSTOM_LLM_CUSTOM` | 透传到请求体的 `custom` 字段 |
|
||||
| `CUSTOM_LLM_EXTRA_HEADER_JSON` | 额外请求头，JSON 对象字符串 |
|
||||
| `CUSTOM_LLM_ENABLE_PARALLEL_TOOL_CALLS` | 是否开启并行工具调用 |
|
||||
| `CUSTOM_LLM_TEMPERATURE` | 透传温度参数 |
|
||||
| `CUSTOM_LLM_TOP_P` | 透传 `top_p` |
|
||||
| `CUSTOM_LLM_MAX_TOKENS` | 透传 `max_tokens` |
|
||||
|
||||
其余 ASR、TTS、数字人相关可选字段，请直接参考 `backend/.env.example`。
|
||||
|
||||
## 接口说明
|
||||
|
||||
### POST /getScenes
|
||||
### `POST /getScenes`
|
||||
|
||||
返回所有场景列表，自动生成 RoomId/UserId/Token（若未在 JSON 中配置）。
|
||||
返回场景列表，并自动补齐：
|
||||
|
||||
### POST /proxy?Action={Action}&Version={Version}
|
||||
- `RoomId`
|
||||
- `UserId`
|
||||
- `Token`
|
||||
|
||||
代理转发至火山引擎 RTC OpenAPI。
|
||||
### `POST /proxy?Action={Action}&Version={Version}`
|
||||
|
||||
支持的 Action：
|
||||
- `StartVoiceChat` — 启动语音对话
|
||||
- `StopVoiceChat` — 停止语音对话
|
||||
代理转发到火山 RTC OpenAPI。
|
||||
|
||||
请求体需包含 `SceneID` 字段，对应 `scenes/` 目录下的 JSON 文件名（不含扩展名）。
|
||||
支持：
|
||||
|
||||
- `StartVoiceChat`
|
||||
- `StopVoiceChat`
|
||||
|
||||
请求体必须包含 `SceneID`。
|
||||
|
||||
版本优先级如下：
|
||||
|
||||
1. 查询参数里的 `Version`
|
||||
2. 环境变量 `RTC_OPENAPI_VERSION`
|
||||
3. 默认值 `2025-06-01`
|
||||
|
||||
### `POST /api/chat_callback`
|
||||
|
||||
这是当前 backend 内置的 `CustomLLM` 回调接口，也是你配置给火山 `LLMConfig.Url` 的目标地址。
|
||||
|
||||
行为说明：
|
||||
|
||||
- 接收火山传入的 `messages`
|
||||
- 可选校验 `Authorization: Bearer <CUSTOM_LLM_API_KEY>`
|
||||
- 内部调用 `services/local_llm_service.py` 里的 Ark SDK
|
||||
- 按火山要求返回 `text/event-stream`
|
||||
- 结束时一定补 `data: [DONE]`
|
||||
|
||||
### `POST /debug/chat`
|
||||
|
||||
本地调试 LLM 文本流，不经过 RTC。
|
||||
|
||||
### `GET /debug/rag?query=...`
|
||||
|
||||
本地调试 RAG 返回结果。
|
||||
|
||||
## 说明
|
||||
|
||||
- 当前前端不会直接决定模型供应商，模型切换统一由后端环境变量控制。
|
||||
- 如果缺少关键 `CUSTOM_*` 或 `ARK_*` 配置，服务会在启动阶段直接报错，而不是进入半可用状态。
|
||||
|
||||
1
backend/config/__init__.py
Normal file
1
backend/config/__init__.py
Normal file
@ -0,0 +1 @@
|
||||
"""Backend config package."""
|
||||
225
backend/config/custom_scene.py
Normal file
225
backend/config/custom_scene.py
Normal file
@ -0,0 +1,225 @@
|
||||
"""
|
||||
Copyright 2025 Beijing Volcano Engine Technology Co., Ltd. All Rights Reserved.
|
||||
SPDX-license-identifier: BSD-3-Clause
|
||||
"""
|
||||
|
||||
from typing import Any
|
||||
|
||||
from utils.env import (
|
||||
env_bool,
|
||||
env_int,
|
||||
env_json_object,
|
||||
env_list,
|
||||
env_number,
|
||||
env_optional_bool,
|
||||
env_optional_int,
|
||||
env_optional_number,
|
||||
env_str,
|
||||
require_env,
|
||||
set_if_present,
|
||||
)
|
||||
|
||||
CUSTOM_SCENE_ID = "Custom"
|
||||
|
||||
DEFAULT_SCENE_NAME = "自定义助手"
|
||||
DEFAULT_SCENE_ICON = (
|
||||
"https://lf3-rtc-demo.volccdn.com/obj/rtc-aigc-assets/DoubaoAvatar.png"
|
||||
)
|
||||
DEFAULT_LLM_MODE = "ArkV3"
|
||||
DEFAULT_LLM_THINKING_TYPE = "disabled"
|
||||
DEFAULT_RTC_OPENAPI_VERSION = "2025-06-01"
|
||||
DEFAULT_CUSTOM_LLM_CALLBACK_URL = "http://127.0.0.1:3001/api/chat_callback"
|
||||
SUPPORTED_LLM_MODES = {"ArkV3", "CustomLLM"}
|
||||
DEFAULT_ASR_PROVIDER = "volcano"
|
||||
DEFAULT_ASR_MODE = "smallmodel"
|
||||
DEFAULT_ASR_CLUSTER = "volcengine_streaming_common"
|
||||
DEFAULT_TTS_PROVIDER = "volcano"
|
||||
DEFAULT_TTS_CLUSTER = "volcano_tts"
|
||||
DEFAULT_TTS_VOICE_TYPE = "BV001_streaming"
|
||||
DEFAULT_AVATAR_TYPE = "3min"
|
||||
DEFAULT_AVATAR_ROLE = "250623-zhibo-linyunzhi"
|
||||
DEFAULT_AVATAR_VIDEO_BITRATE = 2000
|
||||
|
||||
|
||||
def get_rtc_openapi_version() -> str:
|
||||
return env_str("RTC_OPENAPI_VERSION", DEFAULT_RTC_OPENAPI_VERSION)
|
||||
|
||||
|
||||
def build_llm_settings_from_env(missing: list[str]) -> dict[str, Any]:
|
||||
llm_mode = env_str("CUSTOM_LLM_MODE", DEFAULT_LLM_MODE)
|
||||
if llm_mode not in SUPPORTED_LLM_MODES:
|
||||
modes = ", ".join(sorted(SUPPORTED_LLM_MODES))
|
||||
raise ValueError(f"CUSTOM_LLM_MODE 仅支持以下取值: {modes}")
|
||||
|
||||
settings = {
|
||||
"mode": llm_mode,
|
||||
"system_message": require_env("CUSTOM_LLM_SYSTEM_MESSAGE", missing),
|
||||
"vision_enable": env_bool("CUSTOM_LLM_VISION_ENABLE", False),
|
||||
"thinking_type": env_str(
|
||||
"CUSTOM_LLM_THINKING_TYPE", DEFAULT_LLM_THINKING_TYPE
|
||||
),
|
||||
"api_key": env_str("CUSTOM_LLM_API_KEY"),
|
||||
"model_name": env_str("CUSTOM_LLM_MODEL_NAME"),
|
||||
"history_length": env_optional_int("CUSTOM_LLM_HISTORY_LENGTH"),
|
||||
"prefill": env_optional_bool("CUSTOM_LLM_PREFILL"),
|
||||
"custom": env_str("CUSTOM_LLM_CUSTOM"),
|
||||
"extra_header": env_json_object("CUSTOM_LLM_EXTRA_HEADER_JSON"),
|
||||
"enable_parallel_tool_calls": env_optional_bool(
|
||||
"CUSTOM_LLM_ENABLE_PARALLEL_TOOL_CALLS"
|
||||
),
|
||||
"temperature": env_optional_number("CUSTOM_LLM_TEMPERATURE"),
|
||||
"top_p": env_optional_number("CUSTOM_LLM_TOP_P"),
|
||||
"max_tokens": env_optional_int("CUSTOM_LLM_MAX_TOKENS"),
|
||||
}
|
||||
|
||||
if llm_mode == "ArkV3":
|
||||
settings["endpoint_id"] = require_env("CUSTOM_LLM_ENDPOINT_ID", missing)
|
||||
return settings
|
||||
|
||||
settings["url"] = env_str("CUSTOM_LLM_URL", DEFAULT_CUSTOM_LLM_CALLBACK_URL)
|
||||
settings["endpoint_id"] = env_str("CUSTOM_LLM_ENDPOINT_ID")
|
||||
require_env("ARK_API_KEY", missing)
|
||||
require_env("ARK_ENDPOINT_ID", missing)
|
||||
|
||||
return settings
|
||||
|
||||
|
||||
def build_llm_config(llm_settings: dict[str, Any]) -> dict[str, Any]:
|
||||
llm_config = {
|
||||
"Mode": llm_settings["mode"],
|
||||
"SystemMessages": [llm_settings["system_message"]],
|
||||
"VisionConfig": {
|
||||
"Enable": llm_settings["vision_enable"],
|
||||
},
|
||||
}
|
||||
|
||||
if llm_settings["mode"] == "ArkV3":
|
||||
llm_config["EndPointId"] = llm_settings["endpoint_id"]
|
||||
llm_config["ThinkingType"] = llm_settings["thinking_type"]
|
||||
return llm_config
|
||||
|
||||
llm_config["Url"] = llm_settings["url"]
|
||||
|
||||
if llm_settings["api_key"]:
|
||||
llm_config["APIKey"] = llm_settings["api_key"]
|
||||
|
||||
optional_fields = {
|
||||
"ModelName": llm_settings["model_name"],
|
||||
"HistoryLength": llm_settings["history_length"],
|
||||
"Prefill": llm_settings["prefill"],
|
||||
"Custom": llm_settings["custom"],
|
||||
"ExtraHeader": llm_settings["extra_header"],
|
||||
"EnableParallelToolCalls": llm_settings["enable_parallel_tool_calls"],
|
||||
"Temperature": llm_settings["temperature"],
|
||||
"TopP": llm_settings["top_p"],
|
||||
"MaxTokens": llm_settings["max_tokens"],
|
||||
}
|
||||
for key, value in optional_fields.items():
|
||||
set_if_present(llm_config, key, value)
|
||||
|
||||
return llm_config
|
||||
|
||||
|
||||
def build_custom_scene_from_env() -> dict[str, Any]:
|
||||
missing: list[str] = []
|
||||
|
||||
access_key_id = require_env("CUSTOM_ACCESS_KEY_ID", missing)
|
||||
secret_key = require_env("CUSTOM_SECRET_KEY", missing)
|
||||
rtc_app_id = require_env("CUSTOM_RTC_APP_ID", missing)
|
||||
task_id = require_env("CUSTOM_TASK_ID", missing)
|
||||
agent_user_id = require_env("CUSTOM_AGENT_USER_ID", missing)
|
||||
welcome_message = require_env("CUSTOM_AGENT_WELCOME_MESSAGE", missing)
|
||||
asr_app_id = require_env("CUSTOM_ASR_APP_ID", missing)
|
||||
tts_app_id = require_env("CUSTOM_TTS_APP_ID", missing)
|
||||
llm_settings = build_llm_settings_from_env(missing)
|
||||
|
||||
rtc_app_key = env_str("CUSTOM_RTC_APP_KEY")
|
||||
rtc_room_id = env_str("CUSTOM_RTC_ROOM_ID")
|
||||
rtc_user_id = env_str("CUSTOM_RTC_USER_ID")
|
||||
rtc_token = env_str("CUSTOM_RTC_TOKEN")
|
||||
|
||||
if not rtc_token and not rtc_app_key:
|
||||
missing.append("CUSTOM_RTC_APP_KEY")
|
||||
|
||||
if missing:
|
||||
missing_str = ", ".join(dict.fromkeys(missing))
|
||||
raise ValueError(f"Custom 场景缺少以下环境变量: {missing_str}")
|
||||
|
||||
interrupt_mode = env_int("CUSTOM_INTERRUPT_MODE", 0)
|
||||
avatar_enabled = env_bool("CUSTOM_AVATAR_ENABLED", False)
|
||||
|
||||
target_user_ids = env_list("CUSTOM_AGENT_TARGET_USER_ID")
|
||||
if not target_user_ids:
|
||||
target_user_ids = [rtc_user_id or ""]
|
||||
|
||||
return {
|
||||
"SceneConfig": {
|
||||
"icon": env_str("CUSTOM_SCENE_ICON", DEFAULT_SCENE_ICON),
|
||||
"name": env_str("CUSTOM_SCENE_NAME", DEFAULT_SCENE_NAME),
|
||||
},
|
||||
"AccountConfig": {
|
||||
"accessKeyId": access_key_id,
|
||||
"secretKey": secret_key,
|
||||
},
|
||||
"RTCConfig": {
|
||||
"AppId": rtc_app_id,
|
||||
"AppKey": rtc_app_key,
|
||||
"RoomId": rtc_room_id,
|
||||
"UserId": rtc_user_id,
|
||||
"Token": rtc_token,
|
||||
},
|
||||
"VoiceChat": {
|
||||
"AppId": rtc_app_id,
|
||||
"RoomId": rtc_room_id,
|
||||
"TaskId": task_id,
|
||||
"AgentConfig": {
|
||||
"TargetUserId": target_user_ids,
|
||||
"WelcomeMessage": welcome_message,
|
||||
"UserId": agent_user_id,
|
||||
"EnableConversationStateCallback": True,
|
||||
},
|
||||
"Config": {
|
||||
"ASRConfig": {
|
||||
"Provider": env_str("CUSTOM_ASR_PROVIDER", DEFAULT_ASR_PROVIDER),
|
||||
"ProviderParams": {
|
||||
"Mode": env_str("CUSTOM_ASR_MODE", DEFAULT_ASR_MODE),
|
||||
"AppId": asr_app_id,
|
||||
"Cluster": env_str("CUSTOM_ASR_CLUSTER", DEFAULT_ASR_CLUSTER),
|
||||
},
|
||||
},
|
||||
"TTSConfig": {
|
||||
"Provider": env_str("CUSTOM_TTS_PROVIDER", DEFAULT_TTS_PROVIDER),
|
||||
"ProviderParams": {
|
||||
"app": {
|
||||
"appid": tts_app_id,
|
||||
"cluster": env_str(
|
||||
"CUSTOM_TTS_CLUSTER", DEFAULT_TTS_CLUSTER
|
||||
),
|
||||
},
|
||||
"audio": {
|
||||
"voice_type": env_str(
|
||||
"CUSTOM_TTS_VOICE_TYPE", DEFAULT_TTS_VOICE_TYPE
|
||||
),
|
||||
"speed_ratio": env_number("CUSTOM_TTS_SPEED_RATIO", 1),
|
||||
"pitch_ratio": env_number("CUSTOM_TTS_PITCH_RATIO", 1),
|
||||
"volume_ratio": env_number("CUSTOM_TTS_VOLUME_RATIO", 1),
|
||||
},
|
||||
},
|
||||
},
|
||||
"LLMConfig": build_llm_config(llm_settings),
|
||||
"InterruptMode": interrupt_mode,
|
||||
},
|
||||
"AvatarConfig": {
|
||||
"Enabled": avatar_enabled,
|
||||
"AvatarType": env_str("CUSTOM_AVATAR_TYPE", DEFAULT_AVATAR_TYPE),
|
||||
"AvatarRole": env_str("CUSTOM_AVATAR_ROLE", DEFAULT_AVATAR_ROLE),
|
||||
"BackgroundUrl": env_str("CUSTOM_AVATAR_BACKGROUND_URL"),
|
||||
"VideoBitrate": env_int(
|
||||
"CUSTOM_AVATAR_VIDEO_BITRATE", DEFAULT_AVATAR_VIDEO_BITRATE
|
||||
),
|
||||
"AvatarAppID": env_str("CUSTOM_AVATAR_APP_ID"),
|
||||
"AvatarToken": env_str("CUSTOM_AVATAR_TOKEN"),
|
||||
},
|
||||
"InterruptMode": interrupt_mode,
|
||||
},
|
||||
}
|
||||
221
backend/main.py
221
backend/main.py
@ -1,225 +1,14 @@
|
||||
"""
|
||||
Copyright 2025 Beijing Volcano Engine Technology Co., Ltd. All Rights Reserved.
|
||||
SPDX-license-identifier: BSD-3-Clause
|
||||
兼容入口。
|
||||
|
||||
FastAPI backend — migrated from Server/app.js (Node.js + Koa)
|
||||
推荐使用:
|
||||
uv run uvicorn server:app --host 0.0.0.0 --port 3001 --reload
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
import time
|
||||
import uuid
|
||||
from pathlib import Path
|
||||
|
||||
import httpx
|
||||
from fastapi import FastAPI, Request
|
||||
from fastapi.middleware.cors import CORSMiddleware
|
||||
from fastapi.responses import JSONResponse
|
||||
|
||||
from signer import Signer
|
||||
from rtc_token import AccessToken, privileges
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
SCENES_DIR = Path(__file__).parent / "scenes"
|
||||
|
||||
|
||||
def load_scenes() -> dict:
|
||||
scenes = {}
|
||||
for p in SCENES_DIR.glob("*.json"):
|
||||
with open(p, encoding="utf-8") as f:
|
||||
scenes[p.stem] = json.load(f)
|
||||
return scenes
|
||||
|
||||
|
||||
Scenes = load_scenes()
|
||||
|
||||
|
||||
def assert_value(value, msg: str):
|
||||
if not value or (isinstance(value, str) and " " in value):
|
||||
raise ValueError(msg)
|
||||
|
||||
|
||||
def error_response(action: str, message: str):
|
||||
return JSONResponse(
|
||||
{
|
||||
"ResponseMetadata": {
|
||||
"Action": action,
|
||||
"Error": {"Code": -1, "Message": message},
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
@app.post("/proxy")
|
||||
async def proxy(request: Request):
|
||||
action = request.query_params.get("Action", "")
|
||||
version = request.query_params.get("Version", "2024-12-01")
|
||||
|
||||
try:
|
||||
assert_value(action, "Action 不能为空")
|
||||
assert_value(version, "Version 不能为空")
|
||||
|
||||
body = await request.json()
|
||||
scene_id = body.get("SceneID", "")
|
||||
assert_value(scene_id, "SceneID 不能为空，SceneID 用于指定场景的 JSON")
|
||||
|
||||
json_data = Scenes.get(scene_id)
|
||||
if not json_data:
|
||||
raise ValueError(
|
||||
f"{scene_id} 不存在，请先在 backend/scenes 下定义该场景的 JSON."
|
||||
)
|
||||
|
||||
voice_chat = json_data.get("VoiceChat", {})
|
||||
account_config = json_data.get("AccountConfig", {})
|
||||
assert_value(
|
||||
account_config.get("accessKeyId"), "AccountConfig.accessKeyId 不能为空"
|
||||
)
|
||||
assert_value(
|
||||
account_config.get("secretKey"), "AccountConfig.secretKey 不能为空"
|
||||
)
|
||||
|
||||
if action == "StartVoiceChat":
|
||||
req_body = voice_chat
|
||||
elif action == "StopVoiceChat":
|
||||
app_id = voice_chat.get("AppId", "")
|
||||
room_id = voice_chat.get("RoomId", "")
|
||||
task_id = voice_chat.get("TaskId", "")
|
||||
assert_value(app_id, "VoiceChat.AppId 不能为空")
|
||||
assert_value(room_id, "VoiceChat.RoomId 不能为空")
|
||||
assert_value(task_id, "VoiceChat.TaskId 不能为空")
|
||||
req_body = {"AppId": app_id, "RoomId": room_id, "TaskId": task_id}
|
||||
else:
|
||||
req_body = {}
|
||||
|
||||
request_data = {
|
||||
"region": "cn-north-1",
|
||||
"method": "POST",
|
||||
"params": {"Action": action, "Version": version},
|
||||
"headers": {
|
||||
"Host": "rtc.volcengineapi.com",
|
||||
"Content-type": "application/json",
|
||||
},
|
||||
"body": req_body,
|
||||
}
|
||||
signer = Signer(request_data, "rtc")
|
||||
signer.add_authorization(account_config)
|
||||
|
||||
async with httpx.AsyncClient() as client:
|
||||
resp = await client.post(
|
||||
f"https://rtc.volcengineapi.com?Action={action}&Version={version}",
|
||||
headers=request_data["headers"],
|
||||
json=req_body,
|
||||
)
|
||||
return JSONResponse(resp.json())
|
||||
|
||||
except ValueError as e:
|
||||
return error_response(action, str(e))
|
||||
except Exception as e:
|
||||
return error_response(action, str(e))
|
||||
|
||||
|
||||
@app.post("/getScenes")
|
||||
async def get_scenes():
|
||||
try:
|
||||
scenes_list = []
|
||||
for scene_name, data in Scenes.items():
|
||||
scene_config = data.get("SceneConfig", {})
|
||||
rtc_config = data.get("RTCConfig", {})
|
||||
voice_chat = data.get("VoiceChat", {})
|
||||
|
||||
app_id = rtc_config.get("AppId", "")
|
||||
assert_value(app_id, f"{scene_name} 场景的 RTCConfig.AppId 不能为空")
|
||||
|
||||
token = rtc_config.get("Token", "")
|
||||
user_id = rtc_config.get("UserId", "")
|
||||
room_id = rtc_config.get("RoomId", "")
|
||||
app_key = rtc_config.get("AppKey", "")
|
||||
|
||||
if app_id and (not token or not user_id or not room_id):
|
||||
rtc_config["RoomId"] = voice_chat["RoomId"] = room_id or str(
|
||||
uuid.uuid4()
|
||||
)
|
||||
rtc_config["UserId"] = user_id = user_id or str(uuid.uuid4())
|
||||
if voice_chat.get("AgentConfig") and voice_chat["AgentConfig"].get(
|
||||
"TargetUserId"
|
||||
):
|
||||
voice_chat["AgentConfig"]["TargetUserId"][0] = rtc_config["UserId"]
|
||||
|
||||
assert_value(
|
||||
app_key, f"自动生成 Token 时，{scene_name} 场景的 AppKey 不可为空"
|
||||
)
|
||||
key = AccessToken(
|
||||
app_id, app_key, rtc_config["RoomId"], rtc_config["UserId"]
|
||||
)
|
||||
key.add_privilege(privileges["PrivSubscribeStream"], 0)
|
||||
key.add_privilege(privileges["PrivPublishStream"], 0)
|
||||
key.expire_time(int(time.time()) + 24 * 3600)
|
||||
rtc_config["Token"] = key.serialize()
|
||||
|
||||
scene_config["id"] = scene_name
|
||||
scene_config["botName"] = voice_chat.get("AgentConfig", {}).get("UserId")
|
||||
scene_config["isInterruptMode"] = (
|
||||
voice_chat.get("Config", {}).get("InterruptMode") == 0
|
||||
)
|
||||
scene_config["isVision"] = (
|
||||
voice_chat.get("Config", {})
|
||||
.get("LLMConfig", {})
|
||||
.get("VisionConfig", {})
|
||||
.get("Enable")
|
||||
)
|
||||
scene_config["isScreenMode"] = (
|
||||
voice_chat.get("Config", {})
|
||||
.get("LLMConfig", {})
|
||||
.get("VisionConfig", {})
|
||||
.get("SnapshotConfig", {})
|
||||
.get("StreamType")
|
||||
== 1
|
||||
)
|
||||
scene_config["isAvatarScene"] = (
|
||||
voice_chat.get("Config", {}).get("AvatarConfig", {}).get("Enabled")
|
||||
)
|
||||
scene_config["avatarBgUrl"] = (
|
||||
voice_chat.get("Config", {})
|
||||
.get("AvatarConfig", {})
|
||||
.get("BackgroundUrl")
|
||||
)
|
||||
|
||||
rtc_out = {k: v for k, v in rtc_config.items() if k != "AppKey"}
|
||||
|
||||
scenes_list.append(
|
||||
{
|
||||
"scene": scene_config,
|
||||
"rtc": rtc_out,
|
||||
}
|
||||
)
|
||||
|
||||
return JSONResponse(
|
||||
{
|
||||
"ResponseMetadata": {"Action": "getScenes"},
|
||||
"Result": {"scenes": scenes_list},
|
||||
}
|
||||
)
|
||||
|
||||
except ValueError as e:
|
||||
return JSONResponse(
|
||||
{
|
||||
"ResponseMetadata": {
|
||||
"Action": "getScenes",
|
||||
"Error": {"Code": -1, "Message": str(e)},
|
||||
}
|
||||
}
|
||||
)
|
||||
from server import app
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
|
||||
uvicorn.run("main:app", host="0.0.0.0", port=3001, reload=True)
|
||||
uvicorn.run("server:app", host="0.0.0.0", port=3001, reload=True)
|
||||
|
||||
@ -7,7 +7,9 @@ dependencies = [
|
||||
"fastapi>=0.110.0",
|
||||
"uvicorn[standard]>=0.29.0",
|
||||
"httpx>=0.27.0",
|
||||
"python-dotenv>=1.2.2",
|
||||
"python-multipart>=0.0.9",
|
||||
"volcengine-python-sdk[ark]>=4.0.6",
|
||||
]
|
||||
|
||||
[tool.uv]
|
||||
|
||||
1
backend/routes/__init__.py
Normal file
1
backend/routes/__init__.py
Normal file
@ -0,0 +1 @@
|
||||
"""路由模块"""
|
||||
108
backend/routes/chat_callback.py
Normal file
108
backend/routes/chat_callback.py
Normal file
@ -0,0 +1,108 @@
|
||||
"""
|
||||
POST /api/chat_callback — 自定义 LLM 回调（SSE 流式响应）
|
||||
"""
|
||||
|
||||
import json
|
||||
|
||||
from fastapi import APIRouter, Request
|
||||
from fastapi.responses import StreamingResponse
|
||||
|
||||
from services.local_llm_service import local_llm_service
|
||||
from services.scene_service import ensure_custom_llm_authorized, get_custom_llm_callback_settings
|
||||
from utils.responses import custom_llm_error_response
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
@router.post("/api/chat_callback")
|
||||
async def chat_callback(request: Request):
|
||||
try:
|
||||
settings = get_custom_llm_callback_settings()
|
||||
ensure_custom_llm_authorized(request, settings["api_key"])
|
||||
payload = await request.json()
|
||||
except PermissionError as exc:
|
||||
return custom_llm_error_response(
|
||||
str(exc),
|
||||
code="AuthenticationError",
|
||||
status_code=401,
|
||||
)
|
||||
except json.JSONDecodeError:
|
||||
return custom_llm_error_response(
|
||||
"请求体必须是合法的 JSON",
|
||||
code="BadRequest",
|
||||
status_code=400,
|
||||
)
|
||||
except ValueError as exc:
|
||||
return custom_llm_error_response(str(exc))
|
||||
except Exception as exc:
|
||||
return custom_llm_error_response(
|
||||
f"解析请求失败: {exc}",
|
||||
code="InternalError",
|
||||
status_code=500,
|
||||
)
|
||||
|
||||
messages = payload.get("messages")
|
||||
if not isinstance(messages, list) or not messages:
|
||||
return custom_llm_error_response(
|
||||
"messages 不能为空",
|
||||
code="BadRequest",
|
||||
status_code=400,
|
||||
)
|
||||
|
||||
last_message = messages[-1]
|
||||
if last_message.get("role") != "user":
|
||||
return custom_llm_error_response(
|
||||
"最后一条消息必须是用户消息",
|
||||
code="BadRequest",
|
||||
status_code=400,
|
||||
)
|
||||
|
||||
try:
|
||||
stream_iterator = local_llm_service.chat_stream(
|
||||
history_messages=messages,
|
||||
request_options={
|
||||
"temperature": payload.get("temperature"),
|
||||
"max_tokens": payload.get("max_tokens"),
|
||||
"top_p": payload.get("top_p"),
|
||||
},
|
||||
)
|
||||
except Exception as exc:
|
||||
return custom_llm_error_response(
|
||||
f"初始化本地 LLM 流式调用失败: {exc}",
|
||||
code="InternalError",
|
||||
status_code=500,
|
||||
)
|
||||
|
||||
def generate_sse():
|
||||
has_error = False
|
||||
try:
|
||||
for chunk in stream_iterator:
|
||||
if chunk is None:
|
||||
continue
|
||||
|
||||
if hasattr(chunk, "model_dump_json"):
|
||||
chunk_json = chunk.model_dump_json()
|
||||
else:
|
||||
chunk_json = json.dumps(chunk, ensure_ascii=False)
|
||||
yield f"data: {chunk_json}\n\n"
|
||||
except GeneratorExit:
|
||||
raise
|
||||
except Exception as exc:
|
||||
has_error = True
|
||||
print(f"❌ /api/chat_callback 流式输出失败: {exc}")
|
||||
|
||||
if has_error:
|
||||
print("⚠️ 已提前结束当前 SSE 流")
|
||||
|
||||
yield "data: [DONE]\n\n"
|
||||
|
||||
return StreamingResponse(
|
||||
generate_sse(),
|
||||
status_code=200,
|
||||
media_type="text/event-stream",
|
||||
headers={
|
||||
"Cache-Control": "no-cache",
|
||||
"Connection": "keep-alive",
|
||||
"Access-Control-Allow-Origin": "*",
|
||||
},
|
||||
)
|
||||
85
backend/routes/debug.py
Normal file
85
backend/routes/debug.py
Normal file
@ -0,0 +1,85 @@
|
||||
"""
|
||||
调试端点：POST /debug/chat, GET /debug/rag
|
||||
"""
|
||||
|
||||
import json
|
||||
import time
|
||||
|
||||
from fastapi import APIRouter
|
||||
from fastapi.responses import StreamingResponse
|
||||
|
||||
from schemas.chat import DebugChatRequest
|
||||
from services.local_llm_service import local_llm_service
|
||||
from services.rag_service import rag_service
|
||||
|
||||
router = APIRouter(prefix="/debug")
|
||||
|
||||
|
||||
@router.post("/chat")
|
||||
async def debug_chat(request: DebugChatRequest):
|
||||
current_messages = [
|
||||
{"role": message.role, "content": message.content} for message in request.history
|
||||
]
|
||||
current_messages.append({"role": "user", "content": request.question})
|
||||
|
||||
start_time = time.time()
|
||||
stream_iterator = local_llm_service.chat_stream(
|
||||
history_messages=current_messages,
|
||||
)
|
||||
|
||||
def generate_text():
|
||||
full_ai_response = ""
|
||||
total_usage = None
|
||||
|
||||
for chunk in stream_iterator:
|
||||
if chunk is None:
|
||||
continue
|
||||
|
||||
choices = getattr(chunk, "choices", None) or []
|
||||
if choices:
|
||||
delta = getattr(choices[0], "delta", None)
|
||||
content = getattr(delta, "content", None)
|
||||
if content:
|
||||
full_ai_response += content
|
||||
yield content
|
||||
|
||||
usage = getattr(chunk, "usage", None)
|
||||
if usage:
|
||||
total_usage = usage
|
||||
|
||||
print(f"DEBUG: LLM 调用耗时: {time.time() - start_time:.2f}s")
|
||||
if total_usage:
|
||||
print(
|
||||
"🎫 Token 统计: "
|
||||
f"Total={total_usage.total_tokens} "
|
||||
f"(P:{total_usage.prompt_tokens}, C:{total_usage.completion_tokens})"
|
||||
)
|
||||
|
||||
new_history = [
|
||||
{"role": message.role, "content": message.content}
|
||||
for message in request.history
|
||||
]
|
||||
new_history.append({"role": "user", "content": request.question})
|
||||
new_history.append({"role": "assistant", "content": full_ai_response})
|
||||
|
||||
print("\n" + "=" * 50)
|
||||
print("🐞 调试完成！以下是可用于下次请求的 history 结构：")
|
||||
print(json.dumps({"history": new_history}, ensure_ascii=False, indent=2))
|
||||
print("=" * 50 + "\n")
|
||||
|
||||
return StreamingResponse(generate_text(), media_type="text/plain")
|
||||
|
||||
|
||||
@router.get("/rag")
|
||||
async def debug_rag(query: str):
|
||||
if not query:
|
||||
return {"error": "请提供 query 参数"}
|
||||
|
||||
print(f"🔍 [Debug] 正在检索知识库: {query}")
|
||||
context = await rag_service.retrieve(query)
|
||||
return {
|
||||
"query": query,
|
||||
"retrieved_context": context,
|
||||
"length": len(context) if context else 0,
|
||||
"status": "success" if context else "no_results_or_error",
|
||||
}
|
||||
81
backend/routes/proxy.py
Normal file
81
backend/routes/proxy.py
Normal file
@ -0,0 +1,81 @@
|
||||
"""
|
||||
POST /proxy — RTC OpenAPI 代理（含请求签名）
|
||||
"""
|
||||
|
||||
import httpx
|
||||
from fastapi import APIRouter, Request
|
||||
from fastapi.responses import JSONResponse
|
||||
|
||||
from config.custom_scene import get_rtc_openapi_version
|
||||
from security.signer import Signer
|
||||
from services.scene_service import Scenes, prepare_scene_runtime
|
||||
from utils.responses import error_response
|
||||
from utils.validation import assert_scene_value, assert_value
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
@router.post("/proxy")
|
||||
async def proxy(request: Request):
|
||||
action = request.query_params.get("Action", "")
|
||||
version = request.query_params.get("Version") or get_rtc_openapi_version()
|
||||
|
||||
try:
|
||||
assert_value(action, "Action 不能为空")
|
||||
assert_value(version, "Version 不能为空")
|
||||
|
||||
body = await request.json()
|
||||
scene_id = body.get("SceneID", "")
|
||||
assert_value(scene_id, "SceneID 不能为空，SceneID 用于指定场景配置")
|
||||
|
||||
json_data = Scenes.get(scene_id)
|
||||
if not json_data:
|
||||
raise ValueError(f"{scene_id} 不存在，请先配置对应场景。")
|
||||
|
||||
_, _, voice_chat = prepare_scene_runtime(scene_id, json_data)
|
||||
account_config = json_data.get("AccountConfig", {})
|
||||
assert_scene_value(
|
||||
scene_id, "AccountConfig.accessKeyId", account_config.get("accessKeyId")
|
||||
)
|
||||
assert_scene_value(
|
||||
scene_id, "AccountConfig.secretKey", account_config.get("secretKey")
|
||||
)
|
||||
|
||||
if action == "StartVoiceChat":
|
||||
req_body = voice_chat
|
||||
elif action == "StopVoiceChat":
|
||||
app_id = voice_chat.get("AppId", "")
|
||||
room_id = voice_chat.get("RoomId", "")
|
||||
task_id = voice_chat.get("TaskId", "")
|
||||
assert_scene_value(scene_id, "VoiceChat.AppId", app_id)
|
||||
assert_scene_value(scene_id, "VoiceChat.RoomId", room_id)
|
||||
assert_scene_value(scene_id, "VoiceChat.TaskId", task_id)
|
||||
req_body = {"AppId": app_id, "RoomId": room_id, "TaskId": task_id}
|
||||
else:
|
||||
req_body = {}
|
||||
|
||||
request_data = {
|
||||
"region": "cn-north-1",
|
||||
"method": "POST",
|
||||
"params": {"Action": action, "Version": version},
|
||||
"headers": {
|
||||
"Host": "rtc.volcengineapi.com",
|
||||
"Content-type": "application/json",
|
||||
},
|
||||
"body": req_body,
|
||||
}
|
||||
signer = Signer(request_data, "rtc")
|
||||
signer.add_authorization(account_config)
|
||||
|
||||
async with httpx.AsyncClient() as client:
|
||||
resp = await client.post(
|
||||
f"https://rtc.volcengineapi.com?Action={action}&Version={version}",
|
||||
headers=request_data["headers"],
|
||||
json=req_body,
|
||||
)
|
||||
return JSONResponse(resp.json())
|
||||
|
||||
except ValueError as e:
|
||||
return error_response(action, str(e))
|
||||
except Exception as e:
|
||||
return error_response(action, str(e))
|
||||
74
backend/routes/scenes.py
Normal file
74
backend/routes/scenes.py
Normal file
@ -0,0 +1,74 @@
|
||||
"""
|
||||
POST /getScenes — 场景列表
|
||||
"""
|
||||
|
||||
from fastapi import APIRouter
|
||||
from fastapi.responses import JSONResponse
|
||||
|
||||
from services.scene_service import Scenes, prepare_scene_runtime
|
||||
|
||||
router = APIRouter()
|
||||
|
||||
|
||||
@router.post("/getScenes")
|
||||
async def get_scenes():
|
||||
try:
|
||||
scenes_list = []
|
||||
for scene_name, data in Scenes.items():
|
||||
scene_config, rtc_config, voice_chat = prepare_scene_runtime(
|
||||
scene_name, data
|
||||
)
|
||||
|
||||
scene_config["id"] = scene_name
|
||||
scene_config["botName"] = voice_chat.get("AgentConfig", {}).get("UserId")
|
||||
scene_config["isInterruptMode"] = (
|
||||
voice_chat.get("Config", {}).get("InterruptMode") == 0
|
||||
)
|
||||
scene_config["isVision"] = (
|
||||
voice_chat.get("Config", {})
|
||||
.get("LLMConfig", {})
|
||||
.get("VisionConfig", {})
|
||||
.get("Enable")
|
||||
)
|
||||
scene_config["isScreenMode"] = (
|
||||
voice_chat.get("Config", {})
|
||||
.get("LLMConfig", {})
|
||||
.get("VisionConfig", {})
|
||||
.get("SnapshotConfig", {})
|
||||
.get("StreamType")
|
||||
== 1
|
||||
)
|
||||
scene_config["isAvatarScene"] = (
|
||||
voice_chat.get("Config", {}).get("AvatarConfig", {}).get("Enabled")
|
||||
)
|
||||
scene_config["avatarBgUrl"] = (
|
||||
voice_chat.get("Config", {})
|
||||
.get("AvatarConfig", {})
|
||||
.get("BackgroundUrl")
|
||||
)
|
||||
|
||||
rtc_out = {k: v for k, v in rtc_config.items() if k != "AppKey"}
|
||||
|
||||
scenes_list.append(
|
||||
{
|
||||
"scene": scene_config,
|
||||
"rtc": rtc_out,
|
||||
}
|
||||
)
|
||||
|
||||
return JSONResponse(
|
||||
{
|
||||
"ResponseMetadata": {"Action": "getScenes"},
|
||||
"Result": {"scenes": scenes_list},
|
||||
}
|
||||
)
|
||||
|
||||
except ValueError as e:
|
||||
return JSONResponse(
|
||||
{
|
||||
"ResponseMetadata": {
|
||||
"Action": "getScenes",
|
||||
"Error": {"Code": -1, "Message": str(e)},
|
||||
}
|
||||
}
|
||||
)
|
||||
@ -1,75 +0,0 @@
|
||||
{
|
||||
"SceneConfig": {
|
||||
"icon": "https://lf3-rtc-demo.volccdn.com/obj/rtc-aigc-assets/DoubaoAvatar.png",
|
||||
"name": "自定义助手"
|
||||
},
|
||||
"AccountConfig": {
|
||||
"accessKeyId": "AKLTZWQ0NDljZTZhNjJhNDM4N2I5MjFiZWFkNDg5YWQ4YzI",
|
||||
"secretKey": "Wm1WbU1EZzNaREl4WlRJNE5HRXhZV0V4TmpRMU1UQmpNamt4WXpJM04yWQ=="
|
||||
},
|
||||
"RTCConfig": {
|
||||
"AppId": "67d9266375d80e01b76f4108",
|
||||
"AppKey": "",
|
||||
"RoomId": "ChatRoom01",
|
||||
"UserId": "Huoshan02",
|
||||
"Token": "00167d9266375d80e01b76f4108SQCOTuMBk6DHaRPb0GkKAENoYXRSb29tMDEJAEh1b3NoYW4wMgYAAAAT29BpAQAT29BpAgAT29BpAwAT29BpBAAT29BpBQAT29BpIADq+UCvnjGv8j0Ay2eaLCUiSBG7oXmpGc6MdcdBYJA6CA=="
|
||||
},
|
||||
"VoiceChat": {
|
||||
"AppId": "67d9266375d80e01b76f4108",
|
||||
"RoomId": "ChatRoom01",
|
||||
"TaskId": "ChatTask01",
|
||||
"AgentConfig": {
|
||||
"TargetUserId": ["Huoshan02"],
|
||||
"WelcomeMessage": "你好，我是小乖，有什么需要帮忙的吗？",
|
||||
"UserId": "Huoshan0",
|
||||
"EnableConversationStateCallback": true
|
||||
},
|
||||
"Config": {
|
||||
"ASRConfig": {
|
||||
"Provider": "volcano",
|
||||
"ProviderParams": {
|
||||
"Mode": "smallmodel",
|
||||
"AppId": "3340034205",
|
||||
"Cluster": "volcengine_streaming_common"
|
||||
}
|
||||
},
|
||||
"TTSConfig": {
|
||||
"Provider": "volcano",
|
||||
"ProviderParams": {
|
||||
"app": {
|
||||
"appid": "3340034205",
|
||||
"cluster": "volcano_tts"
|
||||
},
|
||||
"audio": {
|
||||
"voice_type": "BV001_streaming",
|
||||
"speed_ratio": 1,
|
||||
"pitch_ratio": 1,
|
||||
"volume_ratio": 1
|
||||
}
|
||||
}
|
||||
},
|
||||
"LLMConfig": {
|
||||
"Mode": "ArkV3",
|
||||
"EndPointId": "ep-20250612105810-m6jh8",
|
||||
"SystemMessages": [
|
||||
"你是小乖，性格幽默又善解人意。你在表达时需简明扼要，有自己的观点。"
|
||||
],
|
||||
"VisionConfig": {
|
||||
"Enable": false
|
||||
},
|
||||
"ThinkingType": "disabled"
|
||||
},
|
||||
"InterruptMode": 0
|
||||
},
|
||||
"AvatarConfig": {
|
||||
"Enabled": false,
|
||||
"AvatarType": "3min",
|
||||
"AvatarRole": "250623-zhibo-linyunzhi",
|
||||
"BackgroundUrl": "",
|
||||
"VideoBitrate": 2000,
|
||||
"AvatarAppID": "",
|
||||
"AvatarToken": ""
|
||||
},
|
||||
"InterruptMode": 0
|
||||
}
|
||||
}
|
||||
1
backend/schemas/__init__.py
Normal file
1
backend/schemas/__init__.py
Normal file
@ -0,0 +1 @@
|
||||
"""Pydantic 请求/响应模型"""
|
||||
15
backend/schemas/chat.py
Normal file
15
backend/schemas/chat.py
Normal file
@ -0,0 +1,15 @@
|
||||
"""
|
||||
聊天相关的请求模型
|
||||
"""
|
||||
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
|
||||
class ChatMessage(BaseModel):
|
||||
role: str
|
||||
content: str
|
||||
|
||||
|
||||
class DebugChatRequest(BaseModel):
|
||||
history: list[ChatMessage] = Field(default_factory=list)
|
||||
question: str
|
||||
1
backend/security/__init__.py
Normal file
1
backend/security/__init__.py
Normal file
@ -0,0 +1 @@
|
||||
"""Backend security package."""
|
||||
@ -4,19 +4,18 @@ SPDX-license-identifier: BSD-3-Clause
|
||||
|
||||
Migrated from Server/token.js
|
||||
"""
|
||||
|
||||
import base64
|
||||
import hashlib
|
||||
import hmac
|
||||
import random
|
||||
import struct
|
||||
import time
|
||||
import base64
|
||||
|
||||
VERSION = "001"
|
||||
VERSION_LENGTH = 3
|
||||
APP_ID_LENGTH = 24
|
||||
|
||||
_random_nonce = random.randint(0, 0xFFFFFFFF)
|
||||
|
||||
privileges = {
|
||||
"PrivPublishStream": 0,
|
||||
"privPublishAudioStream": 1,
|
||||
@ -50,8 +49,9 @@ class ByteBuf:
|
||||
if not m:
|
||||
self.put_uint16(0)
|
||||
return self
|
||||
self.put_uint16(len(m))
|
||||
for key, value in m.items():
|
||||
sorted_items = sorted(m.items(), key=lambda x: int(x[0]))
|
||||
self.put_uint16(len(sorted_items))
|
||||
for key, value in sorted_items:
|
||||
self.put_uint16(int(key))
|
||||
self.put_uint32(int(value))
|
||||
return self
|
||||
@ -71,7 +71,8 @@ class AccessToken:
|
||||
self.room_id = room_id
|
||||
self.user_id = user_id
|
||||
self.issued_at = int(time.time())
|
||||
self.nonce = _random_nonce
|
||||
random.seed(time.time())
|
||||
self.nonce = random.randint(1, 99999999)
|
||||
self.expire_at = 0
|
||||
self._privileges: dict = {}
|
||||
|
||||
@ -5,6 +5,7 @@ SPDX-license-identifier: BSD-3-Clause
|
||||
Migrated from @volcengine/openapi Signer (AWS SigV4 compatible)
|
||||
Reference: https://www.volcengine.com/docs/6348/69828
|
||||
"""
|
||||
|
||||
import hashlib
|
||||
import hmac
|
||||
import json
|
||||
@ -21,7 +22,7 @@ def _hmac_sha256(key: bytes, data: str) -> bytes:
|
||||
|
||||
|
||||
def _get_signing_key(secret_key: str, date_str: str, region: str, service: str) -> bytes:
|
||||
k_date = _hmac_sha256(("HMAC-SHA256" + secret_key).encode("utf-8"), date_str)
|
||||
k_date = _hmac_sha256(secret_key.encode("utf-8"), date_str)
|
||||
k_region = _hmac_sha256(k_date, region)
|
||||
k_service = _hmac_sha256(k_region, service)
|
||||
k_signing = _hmac_sha256(k_service, "request")
|
||||
@ -38,7 +39,7 @@ class Signer:
|
||||
request_data: {
|
||||
region: str,
|
||||
method: str,
|
||||
params: dict, # query params (Action, Version, ...)
|
||||
params: dict,
|
||||
headers: dict,
|
||||
body: dict,
|
||||
}
|
||||
@ -52,10 +53,6 @@ class Signer:
|
||||
self.service = service
|
||||
|
||||
def add_authorization(self, account_config: dict):
|
||||
"""
|
||||
Computes and injects Authorization + X-Date headers into self.headers.
|
||||
account_config: { accessKeyId: str, secretKey: str }
|
||||
"""
|
||||
access_key = account_config["accessKeyId"]
|
||||
secret_key = account_config["secretKey"]
|
||||
|
||||
@ -65,10 +62,11 @@ class Signer:
|
||||
|
||||
self.headers["X-Date"] = datetime_str
|
||||
self.headers["X-Content-Sha256"] = _sha256_hex(
|
||||
json.dumps(self.body, separators=(",", ":"), ensure_ascii=False).encode("utf-8")
|
||||
json.dumps(self.body, separators=(",", ":"), ensure_ascii=False).encode(
|
||||
"utf-8"
|
||||
)
|
||||
)
|
||||
|
||||
# Canonical headers: sorted lowercase header names
|
||||
signed_header_names = sorted(k.lower() for k in self.headers)
|
||||
canonical_headers = "".join(
|
||||
f"{k}:{self.headers[next(h for h in self.headers if h.lower() == k)]}\n"
|
||||
@ -76,34 +74,38 @@ class Signer:
|
||||
)
|
||||
signed_headers_str = ";".join(signed_header_names)
|
||||
|
||||
# Canonical query string
|
||||
sorted_params = sorted(self.params.items())
|
||||
canonical_qs = "&".join(
|
||||
f"{quote(str(k), safe='')}={quote(str(v), safe='')}"
|
||||
for k, v in sorted_params
|
||||
)
|
||||
|
||||
# Canonical request
|
||||
body_hash = self.headers["X-Content-Sha256"]
|
||||
canonical_request = "\n".join([
|
||||
self.method,
|
||||
"/",
|
||||
canonical_qs,
|
||||
canonical_headers,
|
||||
signed_headers_str,
|
||||
body_hash,
|
||||
])
|
||||
canonical_request = "\n".join(
|
||||
[
|
||||
self.method,
|
||||
"/",
|
||||
canonical_qs,
|
||||
canonical_headers,
|
||||
signed_headers_str,
|
||||
body_hash,
|
||||
]
|
||||
)
|
||||
|
||||
credential_scope = f"{date_str}/{self.region}/{self.service}/request"
|
||||
string_to_sign = "\n".join([
|
||||
"HMAC-SHA256",
|
||||
datetime_str,
|
||||
credential_scope,
|
||||
_sha256_hex(canonical_request.encode("utf-8")),
|
||||
])
|
||||
string_to_sign = "\n".join(
|
||||
[
|
||||
"HMAC-SHA256",
|
||||
datetime_str,
|
||||
credential_scope,
|
||||
_sha256_hex(canonical_request.encode("utf-8")),
|
||||
]
|
||||
)
|
||||
|
||||
signing_key = _get_signing_key(secret_key, date_str, self.region, self.service)
|
||||
signature = hmac.new(signing_key, string_to_sign.encode("utf-8"), hashlib.sha256).hexdigest()
|
||||
signature = hmac.new(
|
||||
signing_key, string_to_sign.encode("utf-8"), hashlib.sha256
|
||||
).hexdigest()
|
||||
|
||||
self.headers["Authorization"] = (
|
||||
f"HMAC-SHA256 Credential={access_key}/{credential_scope}, "
|
||||
34
backend/server.py
Normal file
34
backend/server.py
Normal file
@ -0,0 +1,34 @@
|
||||
from pathlib import Path
|
||||
|
||||
from dotenv import load_dotenv
|
||||
|
||||
BASE_DIR = Path(__file__).parent
|
||||
load_dotenv(BASE_DIR / ".env", override=False)
|
||||
|
||||
# 路由必须在 load_dotenv 之后导入，因为模块级代码会读取环境变量
|
||||
from routes.chat_callback import router as chat_callback_router # noqa: E402
|
||||
from routes.debug import router as debug_router # noqa: E402
|
||||
from routes.proxy import router as proxy_router # noqa: E402
|
||||
from routes.scenes import router as scenes_router # noqa: E402
|
||||
|
||||
from fastapi import FastAPI # noqa: E402
|
||||
from fastapi.middleware.cors import CORSMiddleware # noqa: E402
|
||||
|
||||
app = FastAPI()
|
||||
|
||||
app.add_middleware(
|
||||
CORSMiddleware,
|
||||
allow_origins=["*"],
|
||||
allow_methods=["*"],
|
||||
allow_headers=["*"],
|
||||
)
|
||||
|
||||
app.include_router(proxy_router)
|
||||
app.include_router(scenes_router)
|
||||
app.include_router(chat_callback_router)
|
||||
app.include_router(debug_router)
|
||||
|
||||
if __name__ == "__main__":
|
||||
import uvicorn
|
||||
|
||||
uvicorn.run("server:app", host="0.0.0.0", port=3001, reload=True)
|
||||
1
backend/services/__init__.py
Normal file
1
backend/services/__init__.py
Normal file
@ -0,0 +1 @@
|
||||
"""本地 LLM 与知识检索服务。"""
|
||||
139
backend/services/local_llm_service.py
Normal file
139
backend/services/local_llm_service.py
Normal file
@ -0,0 +1,139 @@
|
||||
"""
|
||||
本地 CustomLLM 服务。
|
||||
|
||||
当前实现直接在同一个 FastAPI 进程内调用方舟 SDK，
|
||||
并由 /api/chat_callback 对外提供火山要求的 SSE 回调接口。
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import dataclass
|
||||
from typing import Any, Iterator
|
||||
|
||||
from utils.env import env_float, env_int, env_str
|
||||
|
||||
DEFAULT_ARK_BASE_URL = "https://ark.cn-beijing.volces.com/api/v3"
|
||||
DEFAULT_ARK_TIMEOUT_SECONDS = 1800
|
||||
DEFAULT_ARK_TEMPERATURE = 0
|
||||
|
||||
|
||||
def _coalesce(*values):
|
||||
for value in values:
|
||||
if value is not None:
|
||||
return value
|
||||
return None
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class LocalLLMSettings:
|
||||
api_key: str
|
||||
endpoint_id: str
|
||||
base_url: str
|
||||
timeout_seconds: int
|
||||
system_prompt: str
|
||||
default_temperature: float
|
||||
|
||||
|
||||
def _load_settings() -> LocalLLMSettings:
|
||||
api_key = env_str("ARK_API_KEY")
|
||||
endpoint_id = env_str("ARK_ENDPOINT_ID")
|
||||
|
||||
if not api_key:
|
||||
raise ValueError("ARK_API_KEY 不能为空")
|
||||
if not endpoint_id:
|
||||
raise ValueError("ARK_ENDPOINT_ID 不能为空")
|
||||
|
||||
return LocalLLMSettings(
|
||||
api_key=api_key,
|
||||
endpoint_id=endpoint_id,
|
||||
base_url=env_str("ARK_BASE_URL", DEFAULT_ARK_BASE_URL),
|
||||
timeout_seconds=env_int("ARK_TIMEOUT_SECONDS", DEFAULT_ARK_TIMEOUT_SECONDS),
|
||||
system_prompt=env_str(
|
||||
"LOCAL_LLM_SYSTEM_PROMPT",
|
||||
env_str("CUSTOM_LLM_SYSTEM_MESSAGE"),
|
||||
),
|
||||
default_temperature=env_float(
|
||||
"LOCAL_LLM_TEMPERATURE", DEFAULT_ARK_TEMPERATURE
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
class LocalLLMService:
|
||||
def __init__(self):
|
||||
self._client = None
|
||||
self._settings: LocalLLMSettings | None = None
|
||||
|
||||
@property
|
||||
def settings(self) -> LocalLLMSettings:
|
||||
if self._settings is None:
|
||||
self._settings = _load_settings()
|
||||
return self._settings
|
||||
|
||||
def _get_client(self):
|
||||
if self._client is not None:
|
||||
return self._client
|
||||
|
||||
try:
|
||||
from volcenginesdkarkruntime import Ark
|
||||
except ImportError as exc:
|
||||
raise RuntimeError(
|
||||
"未安装 volcenginesdkarkruntime，请先执行 uv sync 安装依赖"
|
||||
) from exc
|
||||
|
||||
s = self.settings
|
||||
self._client = Ark(
|
||||
base_url=s.base_url,
|
||||
api_key=s.api_key,
|
||||
timeout=s.timeout_seconds,
|
||||
)
|
||||
return self._client
|
||||
|
||||
def chat_stream(
|
||||
self,
|
||||
history_messages: list[dict[str, Any]],
|
||||
rag_context: str = "",
|
||||
request_options: dict[str, Any] | None = None,
|
||||
) -> Iterator[Any]:
|
||||
settings = self.settings
|
||||
client = self._get_client()
|
||||
request_options = request_options or {}
|
||||
|
||||
system_blocks = [settings.system_prompt]
|
||||
if rag_context:
|
||||
system_blocks.append(f"### 参考知识库（绝对准则）\n{rag_context.strip()}")
|
||||
|
||||
messages = [
|
||||
{
|
||||
"role": "system",
|
||||
"content": "\n\n".join(block for block in system_blocks if block),
|
||||
}
|
||||
]
|
||||
messages.extend(history_messages)
|
||||
|
||||
payload: dict[str, Any] = {
|
||||
"model": settings.endpoint_id,
|
||||
"messages": messages,
|
||||
"temperature": _coalesce(
|
||||
request_options.get("temperature"),
|
||||
settings.default_temperature,
|
||||
),
|
||||
"stream": True,
|
||||
"stream_options": {"include_usage": True},
|
||||
}
|
||||
|
||||
if request_options.get("max_tokens") is not None:
|
||||
payload["max_tokens"] = request_options["max_tokens"]
|
||||
if request_options.get("top_p") is not None:
|
||||
payload["top_p"] = request_options["top_p"]
|
||||
|
||||
print(f"🚀 发起流式调用 (Endpoint: {settings.endpoint_id})")
|
||||
try:
|
||||
stream = client.chat.completions.create(**payload)
|
||||
for chunk in stream:
|
||||
yield chunk
|
||||
except Exception as exc:
|
||||
print(f"❌ LLM 调用失败: {exc}")
|
||||
raise
|
||||
|
||||
|
||||
local_llm_service = LocalLLMService()
|
||||
30
backend/services/rag_service.py
Normal file
30
backend/services/rag_service.py
Normal file
@ -0,0 +1,30 @@
|
||||
"""
|
||||
最小可用的 RAG 服务占位实现。
|
||||
|
||||
当前版本支持两种简单来源：
|
||||
- RAG_STATIC_CONTEXT：直接写在环境变量中的固定知识
|
||||
- RAG_CONTEXT_FILE：读取本地文件全文作为知识上下文
|
||||
|
||||
后续如果要接真正的向量检索，可以直接替换 retrieve 方法实现。
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from pathlib import Path
|
||||
|
||||
from utils.env import env_str
|
||||
|
||||
|
||||
class RagService:
|
||||
async def retrieve(self, query: str) -> str:
|
||||
_ = query
|
||||
context_file = env_str("RAG_CONTEXT_FILE")
|
||||
if context_file:
|
||||
path = Path(context_file).expanduser()
|
||||
if path.exists() and path.is_file():
|
||||
return path.read_text(encoding="utf-8")
|
||||
|
||||
return env_str("RAG_STATIC_CONTEXT")
|
||||
|
||||
|
||||
rag_service = RagService()
|
||||
99
backend/services/scene_service.py
Normal file
99
backend/services/scene_service.py
Normal file
@ -0,0 +1,99 @@
|
||||
"""
|
||||
场景配置加载与运行时准备
|
||||
"""
|
||||
|
||||
import copy
|
||||
import json
|
||||
import time
|
||||
import uuid
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
from fastapi import Request
|
||||
|
||||
from config.custom_scene import (
|
||||
CUSTOM_SCENE_ID,
|
||||
build_custom_scene_from_env,
|
||||
build_llm_settings_from_env,
|
||||
)
|
||||
from security.rtc_token import AccessToken, privileges
|
||||
from utils.validation import assert_scene_value, assert_token_generation_ready
|
||||
|
||||
BASE_DIR = Path(__file__).resolve().parent.parent
|
||||
SCENES_DIR = BASE_DIR / "scenes"
|
||||
|
||||
|
||||
def load_scenes() -> dict:
|
||||
scenes = {
|
||||
CUSTOM_SCENE_ID: build_custom_scene_from_env(),
|
||||
}
|
||||
for p in sorted(SCENES_DIR.glob("*.json")):
|
||||
if p.stem == CUSTOM_SCENE_ID:
|
||||
continue
|
||||
with open(p, encoding="utf-8") as f:
|
||||
scenes[p.stem] = json.load(f)
|
||||
return scenes
|
||||
|
||||
|
||||
def prepare_scene_runtime(scene_name: str, data: dict[str, Any]):
|
||||
data = copy.deepcopy(data)
|
||||
scene_config = data.get("SceneConfig", {})
|
||||
rtc_config = data.get("RTCConfig", {})
|
||||
voice_chat = data.get("VoiceChat", {})
|
||||
|
||||
app_id = rtc_config.get("AppId", "")
|
||||
assert_scene_value(scene_name, "RTCConfig.AppId", app_id)
|
||||
|
||||
token = rtc_config.get("Token", "")
|
||||
user_id = rtc_config.get("UserId", "")
|
||||
room_id = rtc_config.get("RoomId", "")
|
||||
app_key = rtc_config.get("AppKey", "")
|
||||
|
||||
if app_id and (not token or not user_id or not room_id):
|
||||
rtc_config["RoomId"] = voice_chat["RoomId"] = room_id or str(uuid.uuid4())
|
||||
rtc_config["UserId"] = user_id = user_id or str(uuid.uuid4())
|
||||
|
||||
agent_config = voice_chat.get("AgentConfig", {})
|
||||
target_user_ids = agent_config.get("TargetUserId")
|
||||
if target_user_ids:
|
||||
target_user_ids[0] = rtc_config["UserId"]
|
||||
|
||||
assert_token_generation_ready(scene_name, app_key)
|
||||
key = AccessToken(app_id, app_key, rtc_config["RoomId"], rtc_config["UserId"])
|
||||
key.add_privilege(privileges["PrivSubscribeStream"], 0)
|
||||
key.add_privilege(privileges["PrivPublishStream"], 0)
|
||||
key.expire_time(int(time.time()) + 24 * 3600)
|
||||
rtc_config["Token"] = key.serialize()
|
||||
|
||||
return scene_config, rtc_config, voice_chat
|
||||
|
||||
|
||||
def get_custom_llm_callback_settings() -> dict[str, Any]:
|
||||
missing: list[str] = []
|
||||
settings = build_llm_settings_from_env(missing)
|
||||
if missing:
|
||||
missing_str = ", ".join(dict.fromkeys(missing))
|
||||
raise ValueError(f"Custom 场景缺少以下环境变量: {missing_str}")
|
||||
|
||||
if settings["mode"] != "CustomLLM":
|
||||
raise ValueError("当前 CUSTOM_LLM_MODE 不是 CustomLLM，无法使用本地回调接口")
|
||||
|
||||
return settings
|
||||
|
||||
|
||||
def ensure_custom_llm_authorized(request: Request, api_key: str):
|
||||
if not api_key:
|
||||
return
|
||||
|
||||
authorization = request.headers.get("authorization", "")
|
||||
expected_value = f"Bearer {api_key}"
|
||||
if authorization == expected_value:
|
||||
return
|
||||
|
||||
raise PermissionError("自定义 LLM 回调鉴权失败，请检查 CUSTOM_LLM_API_KEY")
|
||||
|
||||
|
||||
try:
|
||||
Scenes = load_scenes()
|
||||
except ValueError as exc:
|
||||
raise RuntimeError(f"Custom 场景配置错误：{exc}") from exc
|
||||
0
backend/utils/__init__.py
Normal file
0
backend/utils/__init__.py
Normal file
134
backend/utils/env.py
Normal file
134
backend/utils/env.py
Normal file
@ -0,0 +1,134 @@
|
||||
"""
|
||||
环境变量读取工具函数。
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
from typing import Any
|
||||
|
||||
TRUTHY_VALUES = {"1", "true", "yes", "on"}
|
||||
FALSY_VALUES = {"0", "false", "no", "off"}
|
||||
|
||||
|
||||
def env_str(name: str, default: str = "") -> str:
|
||||
value = os.getenv(name)
|
||||
if value is None:
|
||||
return default
|
||||
value = value.strip()
|
||||
return value if value else default
|
||||
|
||||
|
||||
def require_env(name: str, missing: list[str]) -> str:
|
||||
value = env_str(name)
|
||||
if not value:
|
||||
missing.append(name)
|
||||
return value
|
||||
|
||||
|
||||
def env_bool(name: str, default: bool) -> bool:
|
||||
raw_value = os.getenv(name)
|
||||
if raw_value is None or not raw_value.strip():
|
||||
return default
|
||||
|
||||
value = raw_value.strip().lower()
|
||||
if value in TRUTHY_VALUES:
|
||||
return True
|
||||
if value in FALSY_VALUES:
|
||||
return False
|
||||
|
||||
raise ValueError(f"{name} 必须是布尔值，可选 true/false/1/0")
|
||||
|
||||
|
||||
def env_optional_bool(name: str) -> bool | None:
|
||||
raw_value = os.getenv(name)
|
||||
if raw_value is None or not raw_value.strip():
|
||||
return None
|
||||
return env_bool(name, False)
|
||||
|
||||
|
||||
def env_int(name: str, default: int) -> int:
|
||||
raw_value = os.getenv(name)
|
||||
if raw_value is None or not raw_value.strip():
|
||||
return default
|
||||
|
||||
try:
|
||||
return int(raw_value.strip())
|
||||
except ValueError as exc:
|
||||
raise ValueError(f"{name} 必须是整数") from exc
|
||||
|
||||
|
||||
def env_optional_int(name: str) -> int | None:
|
||||
raw_value = os.getenv(name)
|
||||
if raw_value is None or not raw_value.strip():
|
||||
return None
|
||||
return env_int(name, 0)
|
||||
|
||||
|
||||
def env_float(name: str, default: float) -> float:
|
||||
raw_value = os.getenv(name)
|
||||
if raw_value is None or not raw_value.strip():
|
||||
return default
|
||||
|
||||
try:
|
||||
return float(raw_value.strip())
|
||||
except ValueError as exc:
|
||||
raise ValueError(f"{name} 必须是浮点数") from exc
|
||||
|
||||
|
||||
def env_number(name: str, default: int | float) -> int | float:
|
||||
raw_value = os.getenv(name)
|
||||
if raw_value is None or not raw_value.strip():
|
||||
return default
|
||||
|
||||
try:
|
||||
value = float(raw_value.strip())
|
||||
except ValueError as exc:
|
||||
raise ValueError(f"{name} 必须是数字") from exc
|
||||
|
||||
if value.is_integer():
|
||||
return int(value)
|
||||
return value
|
||||
|
||||
|
||||
def env_optional_number(name: str) -> int | float | None:
|
||||
raw_value = os.getenv(name)
|
||||
if raw_value is None or not raw_value.strip():
|
||||
return None
|
||||
return env_number(name, 0)
|
||||
|
||||
|
||||
def env_json_object(name: str) -> dict[str, str]:
|
||||
raw_value = os.getenv(name)
|
||||
if raw_value is None or not raw_value.strip():
|
||||
return {}
|
||||
|
||||
try:
|
||||
value = json.loads(raw_value)
|
||||
except json.JSONDecodeError as exc:
|
||||
raise ValueError(f"{name} 必须是合法的 JSON 对象字符串") from exc
|
||||
|
||||
if not isinstance(value, dict):
|
||||
raise ValueError(f"{name} 必须是 JSON 对象")
|
||||
|
||||
invalid_keys = [key for key in value.keys() if not isinstance(key, str)]
|
||||
if invalid_keys:
|
||||
raise ValueError(f"{name} 的所有键必须是字符串")
|
||||
|
||||
return {key: str(val) for key, val in value.items()}
|
||||
|
||||
|
||||
def env_list(name: str) -> list[str]:
|
||||
raw_value = os.getenv(name)
|
||||
if raw_value is None or not raw_value.strip():
|
||||
return []
|
||||
return [item.strip() for item in raw_value.split(",") if item.strip()]
|
||||
|
||||
|
||||
def set_if_present(target: dict[str, Any], key: str, value: Any):
|
||||
if value is None:
|
||||
return
|
||||
if isinstance(value, str) and not value:
|
||||
return
|
||||
if isinstance(value, dict) and not value:
|
||||
return
|
||||
target[key] = value
|
||||
33
backend/utils/responses.py
Normal file
33
backend/utils/responses.py
Normal file
@ -0,0 +1,33 @@
|
||||
"""
|
||||
统一错误响应格式
|
||||
"""
|
||||
|
||||
from fastapi.responses import JSONResponse
|
||||
|
||||
|
||||
def error_response(action: str, message: str):
|
||||
return JSONResponse(
|
||||
{
|
||||
"ResponseMetadata": {
|
||||
"Action": action,
|
||||
"Error": {"Code": -1, "Message": message},
|
||||
}
|
||||
}
|
||||
)
|
||||
|
||||
|
||||
def custom_llm_error_response(
|
||||
message: str,
|
||||
*,
|
||||
code: str = "InvalidConfiguration",
|
||||
status_code: int = 400,
|
||||
):
|
||||
return JSONResponse(
|
||||
{
|
||||
"Error": {
|
||||
"Code": code,
|
||||
"Message": message,
|
||||
}
|
||||
},
|
||||
status_code=status_code,
|
||||
)
|
||||
31
backend/utils/validation.py
Normal file
31
backend/utils/validation.py
Normal file
@ -0,0 +1,31 @@
|
||||
"""
|
||||
校验工具函数
|
||||
"""
|
||||
|
||||
from typing import Any
|
||||
|
||||
from config.custom_scene import CUSTOM_SCENE_ID
|
||||
|
||||
|
||||
def assert_value(value, msg: str):
|
||||
if not value:
|
||||
raise ValueError(msg)
|
||||
|
||||
|
||||
def assert_scene_value(scene_name: str, field_name: str, value: Any):
|
||||
if value:
|
||||
return
|
||||
|
||||
raise ValueError(f"{scene_name} 场景的 {field_name} 不能为空")
|
||||
|
||||
|
||||
def assert_token_generation_ready(scene_name: str, app_key: str):
|
||||
if app_key:
|
||||
return
|
||||
|
||||
if scene_name == CUSTOM_SCENE_ID:
|
||||
raise ValueError(
|
||||
"Custom 场景未提供 CUSTOM_RTC_TOKEN 时，必须配置 CUSTOM_RTC_APP_KEY 用于自动生成 Token"
|
||||
)
|
||||
|
||||
raise ValueError(f"自动生成 Token 时，{scene_name} 场景的 RTCConfig.AppKey 不可为空")
|
||||
164
backend/uv.lock
generated
164
backend/uv.lock
generated
@ -9,16 +9,20 @@ source = { virtual = "." }
|
||||
dependencies = [
|
||||
{ name = "fastapi" },
|
||||
{ name = "httpx" },
|
||||
{ name = "python-dotenv" },
|
||||
{ name = "python-multipart" },
|
||||
{ name = "uvicorn", extra = ["standard"] },
|
||||
{ name = "volcengine-python-sdk", extra = ["ark"] },
|
||||
]
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "fastapi", specifier = ">=0.110.0" },
|
||||
{ name = "httpx", specifier = ">=0.27.0" },
|
||||
{ name = "python-dotenv", specifier = ">=1.2.2" },
|
||||
{ name = "python-multipart", specifier = ">=0.0.9" },
|
||||
{ name = "uvicorn", extras = ["standard"], specifier = ">=0.29.0" },
|
||||
{ name = "volcengine-python-sdk", extras = ["ark"], specifier = ">=4.0.6" },
|
||||
]
|
||||
|
||||
[package.metadata.requires-dev]
|
||||
@ -63,6 +67,51 @@ wheels = [
|
||||
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Loading…
Reference in New Issue
Block a user