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Published Sun Jan 18 2026 08:00:00 GMT+0800 (中国标准时间)
migrationDifyOpenAI

Migrating from OpenAI GPTs to Dify — bring your Custom GPT home

Custom GPTs are great for tinkering but limit you when you go commercial, need an API or want to swap models. Step-by-step Builder → Dify migration.

Why migrate#

Custom GPTs are fine for play but hit four walls in serious products:

  1. Locked to OpenAI — no Claude / Qwen / DeepSeek
  2. No public API — only inside ChatGPT, no embedding into your site or support
  3. Black-box KB — no control over chunking or embeddings
  4. Data goes to OpenAI — not OK for sensitive commercial use

Dify is the most direct open-source alternative — same prompts, knowledge and actions, but on your servers.

Mapping#

GPT BuilderDify Chatbot
Name + DescriptionApp name + description
InstructionsPrompt
Conversation startersOpening prompts / examples
Knowledge (upload)Knowledge Base (dataset)
Capabilities → Web SearchWorkflow + tool call
Capabilities → Code InterpreterCode Interpreter node
Actions (OpenAPI schema)Custom tools / API nodes

Steps#

1. Export GPT config#

There’s no export API — manual:

  • Open your GPT → Configure
  • Copy Name / Description / Instructions / Conversation starters
  • Download knowledge files
  • Copy Actions OpenAPI schema

2. New Dify app#

  • Type: Chat Assistant / Agent / Workflow (Agent recommended)
  • Prompt: paste Instructions; prepend:
    You are a [GPT name] assistant.
    Original conversation starters: [list them]
  • Model: Qwen2.5-72B or DeepSeek-V3 or keep GPT-4

3. Rebuild the knowledge base#

Dify’s KB is more configurable than GPTs:

  • Upload files
  • Chunking strategy (recommend parent-child)
  • Embedding model (Chinese: bge-m3; English: text-embedding-3-large)
  • Bind to the chatbot

4. Rebuild Actions#

Actions are OpenAPI schemas; Dify’s Custom Tools accept the same format.

openapi: 3.0.0
info:
  title: My API
servers:
  - url: https://api.example.com
paths:
  /lookup:
    get:
      operationId: lookup
      parameters: [...]

Tools → Import OpenAPI, and Dify generates a callable tool node.

5. Test and compare#

Run the same questions through both:

QuestionGPTDifyVerdict

Dify with Qwen / DeepSeek typically lands within ±5% of GPT-4 accuracy at 70-90% lower cost.

6. Embed in your product#

Dify ships:

  • Chat widget (themable)
  • OpenAI-compatible API — swap base_url and existing code works
  • Webhook integrations
const client = new OpenAI({
  baseURL: 'https://dify.your.com/v1',
  apiKey: 'app-xxxxxxxx', // Dify app key
});

const response = await client.chat.completions.create({
  model: 'gpt-3.5-turbo', // Dify ignores this; uses your bot's configured model
  messages: [{ role: 'user', content: 'hello' }],
});

Gotchas#

  1. Conversation starters don’t map 1:1 — Dify’s opening_statement is a single line; surface the four examples in the Prompt instead
  2. No drop-in Web Search — pair Dify Workflow with Tavily / Serper nodes
  3. Code Interpreter needs Sandbox — Dify’s built-in sandbox is opt-in; for prod run a separate Docker

Cost#

ItemGPT Plus + BuilderDify + Qwen / DeepSeek
Monthly$20 + usage$30-50 VPS + $5-50 LLM
Commercial usePersonal onlyAllowed
Swap modelsNoYes
Data sovereigntyNoYes

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