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:
- Locked to OpenAI — no Claude / Qwen / DeepSeek
- No public API — only inside ChatGPT, no embedding into your site or support
- Black-box KB — no control over chunking or embeddings
- 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 Builder | Dify Chatbot |
|---|---|
| Name + Description | App name + description |
| Instructions | Prompt |
| Conversation starters | Opening prompts / examples |
| Knowledge (upload) | Knowledge Base (dataset) |
| Capabilities → Web Search | Workflow + tool call |
| Capabilities → Code Interpreter | Code 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:
| Question | GPT | Dify | Verdict |
|---|---|---|---|
| … | … | … | … |
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_urland 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#
- Conversation starters don’t map 1:1 — Dify’s
opening_statementis a single line; surface the four examples in the Prompt instead - No drop-in Web Search — pair Dify Workflow with Tavily / Serper nodes
- Code Interpreter needs Sandbox — Dify’s built-in sandbox is opt-in; for prod run a separate Docker
Cost#
| Item | GPT Plus + Builder | Dify + Qwen / DeepSeek |
|---|---|---|
| Monthly | $20 + usage | $30-50 VPS + $5-50 LLM |
| Commercial use | Personal only | Allowed |
| Swap models | No | Yes |
| Data sovereignty | No | Yes |