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docs: make English the default docs language and fix link paths
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---
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title: DeepSeek
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description: DeepSeek 模型配置(文本对话 + 思考模式)
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description: DeepSeek model configuration (Text Chat + Thinking Mode)
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---
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DeepSeek 是当前 Agent 模式默认推荐的厂商之一,主打高性价比的文本对话和任务规划能力。
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DeepSeek is one of the default recommended vendors in Agent mode, focused on cost-effective text chat and task planning.
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## 文本对话
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## Text Chat
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```json
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{
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}
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```
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| 参数 | 说明 |
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| Parameter | Description |
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| --- | --- |
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| `model` | 支持 `deepseek-v4-flash`(默认)、`deepseek-v4-pro` |
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| `deepseek_api_key` | 在 [DeepSeek 平台](https://platform.deepseek.com/api_keys) 创建 |
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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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| `model` | Supports `deepseek-v4-flash` (Default), `deepseek-v4-pro` |
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| `deepseek_api_key` | Create one on the [DeepSeek Platform](https://platform.deepseek.com/api_keys) |
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| `deepseek_api_base` | Optional, defaults to `https://api.deepseek.com/v1`. Can be changed to a third-party proxy |
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### 模型选择
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### Model Selection
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| 模型 | 适用场景 |
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| Model | Use Case |
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| --- | --- |
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| `deepseek-v4-flash` | 默认推荐,速度快、成本低 |
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| `deepseek-v4-pro` | 更智能,复杂任务效果更强 |
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| `deepseek-v4-flash` | Default recommended; fast and low cost |
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| `deepseek-v4-pro` | Smarter; better for complex tasks |
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## 思考模式
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## Thinking Mode
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V4 系列(`deepseek-v4-flash` / `deepseek-v4-pro`)支持显式的「思考模式」:模型在输出最终回答前,先输出一段思维链(`reasoning_content`),从而提升答案质量。
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The V4 series (`deepseek-v4-flash` / `deepseek-v4-pro`) supports an explicit "thinking mode": before producing the final answer, the model emits a chain of thought (`reasoning_content`) to improve answer quality.
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### 开关
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### Toggle
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通过全局配置 `enable_thinking` 控制,也可在 web控制台 - 配置页面中进行切换:
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Controlled by the global `enable_thinking` config, and can also be toggled from the Web Console's configuration page:
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```json
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{
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}
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```
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- `true`:所有渠道下模型都会先思考再作答。Web 控制台会展示思考过程,IM 渠道(微信 / 企微 / 钉钉 / 飞书)虽不展示但同样获得更好答案。
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- `false`:关闭思考,响应更快,首字延迟更低。
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- `true`: the model thinks before answering across all channels. The Web Console displays the thinking process; IM channels (WeChat / WeCom / DingTalk / Feishu) do not show it but still get better answers.
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- `false`: thinking is disabled, responses are faster, and time-to-first-token is lower.
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### 推理强度
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### Reasoning Effort
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思考模式下可通过 `reasoning_effort` 控制推理强度:
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Under thinking mode, `reasoning_effort` controls reasoning intensity:
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```json
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{
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}
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```
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| 取值 | 适用场景 |
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| Value | Use Case |
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| --- | --- |
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| `high`(默认) | 日常 Agent 任务,思考与速度的平衡 |
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| `max` | 复杂编码、长链路规划、严格约束的任务,推理更深但耗时与输出 token 更多 |
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| `high` (Default) | Day-to-day Agent tasks; balanced reasoning and speed |
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| `max` | Complex coding, long-horizon planning, strictly constrained tasks; deeper reasoning but more time and output tokens |
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`reasoning_effort` 仅在 `enable_thinking` 为 `true` 时生效;模型不支持思考模式时该字段自动忽略。
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`reasoning_effort` only takes effect when `enable_thinking` is `true`; it is ignored automatically when the model does not support thinking mode.
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### 行为说明
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### Behavior Notes
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- **采样参数**:思考模式下 `temperature`、`top_p`、`presence_penalty`、`frequency_penalty` 会被服务端忽略(不会报错),CowAgent 会自动跳过传入。
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- **多轮工具调用**:当历史中包含工具调用时,DeepSeek 要求所有 assistant 消息必须回传 `reasoning_content`。CowAgent 会自动处理回传逻辑,跨轮次切换思考开关也不会出错。
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- **Sampling parameters**: in thinking mode, `temperature`, `top_p`, `presence_penalty`, and `frequency_penalty` are ignored by the server (without errors). CowAgent automatically skips them.
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- **Multi-turn tool calls**: when the history contains tool calls, DeepSeek requires every assistant message to include `reasoning_content`. CowAgent handles this automatically, so toggling thinking mode across turns will not cause errors.
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<Tip>
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默认使用 `deepseek-v4-flash`;复杂任务可使用 `deepseek-v4-pro`;需要深度推理可开启 `enable_thinking`。
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`deepseek-v4-flash` is used by default; switch to `deepseek-v4-pro` for complex tasks; enable `enable_thinking` when deep reasoning is needed.
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</Tip>
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