工程 ✦ 82约 10 分钟搭建中级

把 DeepSeek(或任何 LLM)接入你的 Grok Bot,按成本分流任务

Thomas Heimann 的复制粘贴指令把 DeepSeek V4 Flash 注册为你的幕僚长机器人上的可调用工具(OpenAI 兼容,密钥安全存储),然后给机器人一条路由策略:运维、API/浏览器、工具调用和批量工作发给便宜快速的模型,原生 Grok 则保留给深度推理。

来源 ↗ 收录于 grokbot.dev ↗ ✓ 核验于 2026-08-23
1

复制提示词(保留英文原文效果最好)。

2

粘贴进 Grok——打开你的 Grok Bot,把它作为第一条消息发送。

3

回答它的设置问题——大多数提示词会先采访你,然后进入固定节奏。

提示词

提示词
Command for Chief of Staff / Orchestrator Bot:
Please execute the following setup completely and confirm when finished.

1. Add DeepSeek V4 Flash as a permanent tool/model
Register DeepSeek V4 Flash (model ID: deepseek-v4-flash or the exact current official ID) as a callable external model/tool.
Endpoint: https://api.deepseek.com/v1 (OpenAI-compatible).
Ask me for the API key only when you are ready to store it securely (environment variable or protected secrets file on the cloud computer - never hard-code or log it).
Create a clean, reusable tool named call_deepseek_v4_flash that:
- Accepts system prompt + user message (or conversation context).
- Calls the model with sensible defaults for speed and tool-use (temperature ~0.2-0.5, adequate max tokens).
- Returns the full response cleanly so you (and other bots) can use it.
Make this tool permanently available to all bots, especially you.

2. Your new decision rules for when to use DeepSeek V4 Flash
DeepSeek V4 Flash is a very capable, fast, and extremely cost-efficient model that is excellent at tool use, API work, browser actions, and high-volume accurate processing. It is not as strong on pure deep reasoning or high-stakes judgment as native Grok (or future stronger models such as Kimi K3).
Always prefer DeepSeek V4 Flash for these job classes:
- HighLevel ops / API calls / browser work / tool-heavy execution
- Bulk extraction, classification, data processing, and high-volume accurate tasks
- Any fast tool-using or operational work where speed and cost matter more than maximum reasoning depth
Reserve native Grok (or stronger models later) for:
- True high-level strategic reasoning, complex judgment calls, prioritization of major initiatives, nuanced synthesis, and situations where reasoning strength is the primary requirement
- Final customer-facing or compliance-sensitive drafts that need the strongest available model + my approval
Your required decision process:
- Classify the task.
- If it is HighLevel ops, API/browser/tool work, bulk extraction, or classification -> call DeepSeek V4 Flash first.
- If it is deep strategic/judgment work -> use native Grok (or escalate to me).
- You may call DeepSeek in parallel or as a first pass even on borderline tasks if it can handle the mechanical parts efficiently.
- If DeepSeek underperforms twice on the same class of task, note it and escalate one tier.
- Always keep a brief internal log of when and why you chose DeepSeek so we can refine the rules.

3. Make the change permanent
Update your own profile, system instructions, and any relevant routines so these routing rules are always active.
Create a short skill/routine called /deepseek that forces a DeepSeek V4 Flash consultation on the current task.
Ensure other bots know to route HighLevel ops / bulk work through you (or directly to the new tool) rather than burning the native Grok pool.

4. Test and confirm
When the setup is complete, reply with:
- Confirmation that the DeepSeek V4 Flash tool is live and the key is stored securely.
- The exact decision rules you will now follow (copy them back to me).
- A short live example: take a sample HighLevel ops or bulk-extraction task and show the flow of you calling DeepSeek V4 Flash.
- Any remaining steps I need to take (e.g., providing the API key).

Execute this now. Ask me for the DeepSeek API key only when you are ready to store it securely.

它是怎么搭起来的

Grok Bot 的原生模型很强大,但它也是那个昂贵的用量池。大多数智能体工作——CRM 操作、API 调用、浏览器操作、批量提取和分类——并不需要那种推理深度。这条指令让你的编排机器人注册一个便宜、快速的模型(DeepSeek V4 Flash)作为永久工具,然后智能地把工作分流给它。

  1. 拿到一个 DeepSeek API 密钥——或者选任何你更想分流过去的 OpenAI 兼容模型和端点。
  2. 把下面的指令粘贴进你的参谋长/编排机器人。
  3. 当机器人询问时,把密钥交给它。它会安全地保存(环境变量或受保护的密钥文件),绝不硬编码、绝不写进日志。
  4. 从此以后机器人会自动分流:机械操作/工具调用/批量工作交给便宜快速的模型,而原生 Grok 留给深度推理——任何面向客户或涉及合规敏感的工作仍会回到你这里等审批。

为什么它好用

每个人都让整个智能体集群跑在原生模型上,然后眼睁睁看着用量池见底。这个做法反了过来:编排者变成一个有成本意识的路由器,把大量的机械性工作——CRM 操作、API 和浏览器调用、批量提取——卸载给一个便宜、快速的模型,把昂贵的原生推理留给真正需要它的调用。分流不是凭感觉:提示词交给机器人一套具体的任务分类流程、一条“便宜模型两次表现不佳就升一档”的规则,以及一份日志让你可以随时间打磨策略。它在构造上也顾及了安全——API 密钥只在能被安全保存时才会被索要,绝不硬编码、绝不写日志。把 DeepSeek 换成任何 OpenAI 兼容模型,同样的模式就给你一个把钱花在刀刃上的多模型机器人。

本案例收集自公开的 Grok Bot 社区,版权归原作者所有。提示词属于参考资料:运行前请先审阅内容, 并且不要让 bot 超出你实际授予的权限行事。