mirror of
https://github.com/zhayujie/chatgpt-on-wechat.git
synced 2026-07-20 05:27:59 +08:00
feat(models): support deepseek-v4-pro and deepseek-v4-flash
This commit is contained in:
zhayujie
284
README.md
284
README.md
@@ -29,7 +29,7 @@
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- ✅ **工具系统：** 内置文件读写、终端执行、浏览器操作、定时任务等工具，Agent 自主调用以完成复杂任务
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- ✅ **CLI系统：** 提供终端命令和对话命令，支持进程管理、技能安装、配置修改等操作
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- ✅ **多模态消息：** 支持对文本、图片、语音、文件等多类型消息进行解析、处理、生成、发送等操作
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- ✅ **多模型支持：** 支持 OpenAI, Claude, Gemini, DeepSeek, MiniMax、GLM、Qwen、Kimi、Doubao 等国内外主流模型厂商
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- ✅ **多模型支持：** 支持 MiniMax、DeepSeek、Claude、Gemini、OpenAI、GLM、Qwen、Doubao、Kimi 等国内外主流模型厂商
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- ✅ **多通道接入：** 支持运行在本地计算机或服务器，可集成到微信、飞书、钉钉、企业微信、QQ、微信公众号、网页中使用
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## 声明
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@@ -313,47 +313,6 @@ sudo docker logs -f chatgpt-on-wechat
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推荐通过 Web 控制台在线管理模型配置，无需手动编辑文件，详见 [模型文档](https://docs.cowagent.ai/models)。以下是手动修改 `config.json` 配置模型的说明：
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<details>
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<summary>OpenAI</summary>
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1. API Key 创建：在 [OpenAI平台](https://platform.openai.com/api-keys) 创建 API Key
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2. 填写配置
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```json
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{
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"model": "gpt-5.4",
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"open_ai_api_key": "YOUR_API_KEY",
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"open_ai_api_base": "https://api.openai.com/v1",
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"bot_type": "openai"
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}
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```
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- `model`: 与 OpenAI 接口的 [model参数](https://platform.openai.com/docs/models) 一致，支持包括 gpt-5.4、gpt-5.4-mini、gpt-5.4-nano、o 系列、gpt-4.1 等模型，Agent 模式推荐使用 `gpt-5.4`、`gpt-5.4-mini`
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- `open_ai_api_base`: 如果需要接入第三方代理接口，可通过修改该参数进行接入
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- `bot_type`: 使用 OpenAI 相关模型时无需填写。当使用第三方代理接口接入 Claude 等非 OpenAI 官方模型时，该参数设为 `openai`
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</details>
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<details>
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<summary>LinkAI</summary>
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1. API Key 创建：在 [LinkAI平台](https://link-ai.tech/console/interface) 创建 API Key
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2. 填写配置
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```json
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{
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"model": "gpt-5.4-mini",
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"use_linkai": true,
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"linkai_api_key": "YOUR API KEY"
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}
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```
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+ `use_linkai`: 是否使用 LinkAI 接口，默认关闭，设置为 true 后可对接 LinkAI 平台的模型，并使用知识库、工作流、数据库、插件等丰富的 Agent 技能
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+ `linkai_api_key`: LinkAI 平台的 API Key，可在 [控制台](https://link-ai.tech/console/interface) 中创建
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+ `model`: [模型列表](https://link-ai.tech/console/models)中的全部模型均可使用
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</details>
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<details>
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<summary>MiniMax</summary>
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@@ -383,6 +342,89 @@ sudo docker logs -f chatgpt-on-wechat
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- `open_ai_api_key`: MiniMax 平台的 API-KEY
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</details>
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<details>
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<summary>DeepSeek</summary>
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1. API Key 创建：在 [DeepSeek 平台](https://platform.deepseek.com/api_keys) 创建 API Key
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2. 填写配置
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方式一：官方接入（推荐）：
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```json
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{
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"model": "deepseek-v4-pro",
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"deepseek_api_key": "sk-xxxxxxxxxxx"
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}
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```
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- `model`: 推荐填写 `deepseek-v4-pro`、`deepseek-v4-flash`
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- `deepseek_api_key`: DeepSeek 平台的 API Key
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- `deepseek_api_base`: 可选，默认为 `https://api.deepseek.com/v1`，可修改为第三方代理地址
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方式二：OpenAI 兼容方式接入：
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```json
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{
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"model": "deepseek-v4-pro",
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"bot_type": "openai",
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"open_ai_api_key": "sk-xxxxxxxxxxx",
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"open_ai_api_base": "https://api.deepseek.com/v1"
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}
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```
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</details>
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<details>
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<summary>Claude</summary>
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1. API Key 创建：在 [Claude控制台](https://console.anthropic.com/settings/keys) 创建 API Key
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2. 填写配置
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```json
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{
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"model": "claude-sonnet-4-6",
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"claude_api_key": "YOUR_API_KEY"
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}
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```
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- `model`: 参考 [官方模型ID](https://docs.anthropic.com/en/docs/about-claude/models/overview#model-aliases) ，支持 `claude-sonnet-4-6、claude-opus-4-7、claude-opus-4-6、claude-sonnet-4-5、claude-sonnet-4-0、claude-opus-4-0、claude-3-5-sonnet-latest` 等
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</details>
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<details>
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<summary>Gemini</summary>
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API Key 创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn) 创建 API Key ，配置如下
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```json
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{
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"model": "gemini-3.1-flash-lite-preview",
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"gemini_api_key": ""
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}
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```
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- `model`: 参考[官方文档-模型列表](https://ai.google.dev/gemini-api/docs/models?hl=zh-cn)，支持 `gemini-3.1-flash-lite-preview、gemini-3.1-pro-preview、gemini-3-flash-preview、gemini-3-pro-preview` 等
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</details>
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<details>
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<summary>OpenAI</summary>
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1. API Key 创建：在 [OpenAI平台](https://platform.openai.com/api-keys) 创建 API Key
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2. 填写配置
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```json
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{
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"model": "gpt-5.4",
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"open_ai_api_key": "YOUR_API_KEY",
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"open_ai_api_base": "https://api.openai.com/v1",
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"bot_type": "openai"
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}
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```
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- `model`: 与 OpenAI 接口的 [model参数](https://platform.openai.com/docs/models) 一致，支持包括 gpt-5.4、gpt-5.4-mini、gpt-5.4-nano、o 系列、gpt-4.1 等模型，Agent 模式推荐使用 `gpt-5.4`、`gpt-5.4-mini`
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- `open_ai_api_base`: 如果需要接入第三方代理接口，可通过修改该参数进行接入
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- `bot_type`: 使用 OpenAI 相关模型时无需填写。当使用第三方代理接口接入 Claude 等非 OpenAI 官方模型时，该参数设为 `openai`
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</details>
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<details>
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<summary>智谱AI (GLM)</summary>
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@@ -441,35 +483,6 @@ sudo docker logs -f chatgpt-on-wechat
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- `open_ai_api_key`: 通义千问的 API-KEY
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</details>
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<details>
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<summary>Kimi (Moonshot)</summary>
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方式一：官方接入，配置如下：
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```json
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{
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"model": "kimi-k2.6",
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"moonshot_api_key": ""
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}
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```
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- `model`: 可填写 `kimi-k2.6、kimi-k2.5、kimi-k2、moonshot-v1-8k、moonshot-v1-32k、moonshot-v1-128k`
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- `moonshot_api_key`: Moonshot 的 API-KEY，在 [控制台](https://platform.moonshot.cn/console/api-keys) 创建
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方式二：OpenAI 兼容方式接入，配置如下：
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```json
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{
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"bot_type": "openai",
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"model": "kimi-k2.6",
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"open_ai_api_base": "https://api.moonshot.cn/v1",
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"open_ai_api_key": ""
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}
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```
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- `bot_type`: OpenAI 兼容方式
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- `model`: 可填写 `kimi-k2.6、kimi-k2.5、kimi-k2、moonshot-v1-8k、moonshot-v1-32k、moonshot-v1-128k`
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- `open_ai_api_base`: Moonshot 的 BASE URL
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- `open_ai_api_key`: Moonshot 的 API-KEY
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</details>
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<details>
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<summary>豆包 (Doubao)</summary>
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@@ -489,67 +502,74 @@ sudo docker logs -f chatgpt-on-wechat
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</details>
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<details>
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<summary>Claude</summary>
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<summary>Kimi (Moonshot)</summary>
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1. API Key 创建：在 [Claude控制台](https://console.anthropic.com/settings/keys) 创建 API Key
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方式一：官方接入，配置如下：
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```json
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{
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"model": "kimi-k2.6",
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"moonshot_api_key": ""
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}
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```
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- `model`: 可填写 `kimi-k2.6、kimi-k2.5、kimi-k2、moonshot-v1-8k、moonshot-v1-32k、moonshot-v1-128k`
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- `moonshot_api_key`: Moonshot 的 API-KEY，在 [控制台](https://platform.moonshot.cn/console/api-keys) 创建
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方式二：OpenAI 兼容方式接入，配置如下：
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```json
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{
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"bot_type": "openai",
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"model": "kimi-k2.6",
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"open_ai_api_base": "https://api.moonshot.cn/v1",
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"open_ai_api_key": ""
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}
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```
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- `bot_type`: OpenAI 兼容方式
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- `model`: 可填写 `kimi-k2.6、kimi-k2.5、kimi-k2、moonshot-v1-8k、moonshot-v1-32k、moonshot-v1-128k`
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- `open_ai_api_base`: Moonshot 的 BASE URL
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- `open_ai_api_key`: Moonshot 的 API-KEY
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</details>
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<details>
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<summary>ModelScope</summary>
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```json
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{
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"bot_type": "modelscope",
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"model": "Qwen/QwQ-32B",
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"modelscope_api_key": "your_api_key",
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"modelscope_base_url": "https://api-inference.modelscope.cn/v1/chat/completions",
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"text_to_image": "MusePublic/489_ckpt_FLUX_1"
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}
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```
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- `bot_type`: modelscope 接口格式
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- `model`: 参考[模型列表](https://www.modelscope.cn/models?filter=inference_type&page=1)
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- `modelscope_api_key`: 参考 [官方文档-访问令牌](https://modelscope.cn/docs/accounts/token) ，在 [控制台](https://modelscope.cn/my/myaccesstoken)
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- `modelscope_base_url`: modelscope 平台的 BASE URL
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- `text_to_image`: 图像生成模型，参考[模型列表](https://www.modelscope.cn/models?filter=inference_type&page=1)
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</details>
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<details>
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<summary>LinkAI</summary>
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1. API Key 创建：在 [LinkAI平台](https://link-ai.tech/console/interface) 创建 API Key
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2. 填写配置
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```json
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{
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"model": "claude-sonnet-4-6",
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"claude_api_key": "YOUR_API_KEY"
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"model": "gpt-5.4-mini",
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"use_linkai": true,
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"linkai_api_key": "YOUR API KEY"
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}
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```
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- `model`: 参考 [官方模型ID](https://docs.anthropic.com/en/docs/about-claude/models/overview#model-aliases) ，支持 `claude-sonnet-4-6、claude-opus-4-7、claude-opus-4-6、claude-sonnet-4-5、claude-sonnet-4-0、claude-opus-4-0、claude-3-5-sonnet-latest` 等
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+ `use_linkai`: 是否使用 LinkAI 接口，默认关闭，设置为 true 后可对接 LinkAI 平台的模型，并使用知识库、工作流、数据库、插件等丰富的 Agent 技能
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+ `linkai_api_key`: LinkAI 平台的 API Key，可在 [控制台](https://link-ai.tech/console/interface) 中创建
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+ `model`: [模型列表](https://link-ai.tech/console/models)中的全部模型均可使用
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</details>
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<details>
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<summary>Gemini</summary>
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API Key 创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn) 创建 API Key ，配置如下
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```json
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{
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"model": "gemini-3.1-flash-lite-preview",
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"gemini_api_key": ""
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}
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```
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- `model`: 参考[官方文档-模型列表](https://ai.google.dev/gemini-api/docs/models?hl=zh-cn)，支持 `gemini-3.1-flash-lite-preview、gemini-3.1-pro-preview、gemini-3-flash-preview、gemini-3-pro-preview` 等
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</details>
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<details>
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<summary>DeepSeek</summary>
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1. API Key 创建：在 [DeepSeek 平台](https://platform.deepseek.com/api_keys) 创建 API Key
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2. 填写配置
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方式一：官方接入（推荐）：
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```json
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{
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"model": "deepseek-chat",
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"deepseek_api_key": "sk-xxxxxxxxxxx"
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}
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```
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- `model`: 可填 `deepseek-chat、deepseek-reasoner`，分别对应的是 DeepSeek-V3.2（非思考模式）和 DeepSeek-R1（思考模式）
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- `deepseek_api_key`: DeepSeek 平台的 API Key
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- `deepseek_api_base`: 可选，默认为 `https://api.deepseek.com/v1`，可修改为第三方代理地址
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方式二：OpenAI 兼容方式接入：
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```json
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{
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"model": "deepseek-chat",
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"bot_type": "openai",
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"open_ai_api_key": "sk-xxxxxxxxxxx",
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"open_ai_api_base": "https://api.deepseek.com/v1"
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}
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```
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</details>
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<details>
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<summary>Azure</summary>
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@@ -642,26 +662,6 @@ API Key 创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn
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- `open_ai_api_key`: 讯飞星火平台的[APIPassword](https://console.xfyun.cn/services/bm3) ，因模型而已
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</details>
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<details>
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<summary>ModelScope</summary>
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```json
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{
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"bot_type": "modelscope",
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"model": "Qwen/QwQ-32B",
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"modelscope_api_key": "your_api_key",
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"modelscope_base_url": "https://api-inference.modelscope.cn/v1/chat/completions",
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"text_to_image": "MusePublic/489_ckpt_FLUX_1"
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}
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```
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- `bot_type`: modelscope 接口格式
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- `model`: 参考[模型列表](https://www.modelscope.cn/models?filter=inference_type&page=1)
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- `modelscope_api_key`: 参考 [官方文档-访问令牌](https://modelscope.cn/docs/accounts/token) ，在 [控制台](https://modelscope.cn/my/myaccesstoken)
|
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- `modelscope_base_url`: modelscope 平台的 BASE URL
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- `text_to_image`: 图像生成模型，参考[模型列表](https://www.modelscope.cn/models?filter=inference_type&page=1)
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</details>
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<details>
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<summary>Coding Plan</summary>
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