Note: The current version only supports text messages.
A provider for Dify.AI to work with Vercel AI SDK.
This provider allows you to easily integrate Dify AI's application workflow with your applications using the Vercel AI SDK.
To use this provider, you'll need:
- Dify Account: Create an account at Dify.AI
- Dify Application: Each application functions as a model within the Vercel AI SDK
- Application ID: Serves as the model ID in your code, can be found in the URL:
https://cloud.dify.ai/app/${dify-application-id}/workflow
- API Key: can be obtained from the application settings
- Application ID: Serves as the model ID in your code, can be found in the URL:
npm install dify-ai-provider
# pnpm
pnpm add dify-ai-provider
# yarn
yarn add dify-ai-provider
import { generateText } from "ai";
import { difyProvider } from "dify-ai-provider";
process.env.DIFY_API_KEY = "dify-api-key"; // app-...
// Create a Dify provider instance
const dify = difyProvider("dify-application-id", {
responseMode: "blocking",
});
// Generate text using Dify AI
const { text, providerMetadata } = await generateText({
model: dify,
messages: [{ role: "user", content: "Hello, how are you today?" }],
headers: { "user-id": "test-user" },
});
const { conversationId, messageId } = providerMetadata.difyWorkflowData;
console.log(text);
console.log("conversationId", conversationId);
console.log("messageId", messageId);
You can continue a conversation by providing a chat-id
and user-id
in request header:
const { text: followUpText } = await generateText({
model: dify,
messages: [
{ role: "user", content: "That's great! What can you help me with?" },
],
headers: { "user-id": "test-user", "chat-id": conversationId },
});
console.log("followUpText", followUpText);
import { streamText } from "ai";
import { difyProvider } from "dify-ai-provider";
const dify = difyProvider("dify-application-id");
const stream = streamText({
model: dify,
messages: [{ role: "user", content: "Write a short poem about AI." }],
});
// Process text deltas as they arrive
for await (const chunk of stream.textStream) {
process.stdout.write(chunk);
}
import { createDifyProvider } from "dify-ai-provider";
const difyProvider = createDifyProvider({
baseURL: "your-base-url",
});
const dify = difyProvider("dify-application-id", {
responseMode: "blocking",
apiKey: "dify-api-key",
});
Next.js AI Chatbot is a full-featured, hackable Next.js AI chatbot built by Vercel. If you want to use it as a chatbot frontend for a Dify application, follow the guidelines below:
- In Dify, an application corresponds to a model ID in the AI provider
- A Dify conversation maps to a chat session in the chatbot
- When you first send a message to Dify, it automatically generates a new conversation
- You must save and reuse the conversation ID for subsequent messages to maintain chat continuity
- Without reusing the conversation ID, each message will create a new conversation in Dify
You can retrieve the Dify conversation ID from the onFinish
callback:
onFinish: async ({ response, providerMetadata }) => {
const conversationId = providerMetadata?.difyWorkflowData?.conversationId as string;
const messageId = providerMetadata?.difyWorkflowData?.messageId as string;
// Save conversationId for future use
}
Pass the user ID and conversation ID in the headers when calling streamText
:
Important: The
conversation_id
must be obtained from a Dify response. Using an invalid conversation ID will result in an error stating that the conversation does not exist.
const stream = createDataStream({
execute: (dataStream) => {
const headers = {
'user-id': session.user.id,
'chat-id': conversation_id_returned_from_dify
};
const result = streamText({
model: myProvider.languageModel(selectedChatModel),
headers,
// ... other options
});
// ... rest of implementation
}
// ... other options
});
Creates a Dify chat model instance.
-
ProviderSettings
modelId
(string): The ID of your Dify application.settings
(optional object):baseURL
(string): The base URL for the Dify API. Default ishttps://api.dify.ai/v1
.headers
(Record<string, string>): The headers that will be set to dify api
-
ChatSettings
inputs
(object): Additional inputs to send with the request.responseMode
(string): Response mode, defaults to"streaming"
.apiKey
(string): Your Dify application API key. If not provided, it will use theDIFY_API_KEY
environment variable.