API

Prediction API

• POST /api/v1/prediction/{your-chatflowid}

Request Body

Key	Description	Type	Required
question	User's question	string	Yes
overrideConfig	Override existing flow configuration	object	No
history	Provide list of history messages to the flow. Only works when using Short Term Memory	array	No

You can use the chatflow as API and connect to frontend applications.

You also have the flexibility to override input configuration with overrideConfig property.

Python

import requests

API_URL = "http://localhost:3000/api/v1/prediction/<chatlfowid>"

def query(payload):
    response = requests.post(API_URL, json=payload)
    return response.json()
    
output = query({
    "question": "Hey, how are you?",
    "overrideConfig": {
        "returnSourceDocuments": true
    },
    "history": [
        {
            "message": "Hello, how can I assist you?",
            "type": "apiMessage"
        },
        {
            "type": "userMessage",
            "message": "Hello I am Bob"
        },
        {
            "type": "apiMessage",
            "message": "Hello Bob! how can I assist you?"
        }
    ]
})

Javascript

async function query(data) {
    const response = await fetch(
        "http://localhost:3000/api/v1/prediction/<chatlfowid>",
        {
            method: "POST",
            headers: {
                "Content-Type": "application/json"
            },
            body: JSON.stringify(data)
        }
    );
    const result = await response.json();
    return result;
}

query({
    "question": "Hey, how are you?",
    "overrideConfig": {
        "returnSourceDocuments": true
    },
    "history": [
        {
            "message": "Hello, how can I assist you?",
            "type": "apiMessage"
        },
        {
            "type": "userMessage",
            "message": "Hello I am Bob"
        },
        {
            "type": "apiMessage",
            "message": "Hello Bob! how can I assist you?"
        }
    ]
}).then((response) => {
    console.log(response);
});

Vector Upsert API

• POST /api/v1/vector/upsert/{your-chatflowid}

Request Body

Key	Description	Type	Required
overrideConfig	Override existing flow configuration	object	No
stopNodeId	Node ID of the vector store. When you have multiple vector stores in a flow, you might not want to upsert all of them. Specifying stopNodeId will ensure only that specific vector store node is upserted.	array	No

Document Loaders with Upload

Some document loaders in Flowise allow user to upload files:

If the flow contains Document Loaders with Upload File functionality, the API looks slightly different. Instead of passing body as JSON, form-data is being used. This allows you to upload any files to the API.

It is user's responsibility to make sure the file type is compatible with the expected file type from document loader. For example, if a Text File Loader is being used, you should only upload file with .txt extension.

Python

import requests

API_URL = "http://localhost:3000/api/v1/vector/upsert/<chatlfowid>"

# use form data to upload files
form_data = {
    "files": ('state_of_the_union.txt', open('state_of_the_union.txt', 'rb'))
}

body_data = {
    "returnSourceDocuments": True
}

def query(form_data):
    response = requests.post(API_URL, files=form_data, data=body_data)
    print(response)
    return response.json()

output = query(form_data)
print(output)

Javascript

// use FormData to upload files
let formData = new FormData();
formData.append("files", input.files[0]);
formData.append("returnSourceDocuments", true);

async function query(formData) {
    const response = await fetch(
        "http://localhost:3000/api/v1/vector/upsert/<chatlfowid>",
        {
            method: "POST",
            body: formData
        }
    );
    const result = await response.json();
    return result;
}

query(formData).then((response) => {
    console.log(response);
});

Document Loaders without Upload

For other Document Loaders nodes without Upload File functionality, the API body is in JSON format similar to Prediction API.

Message API

• GET /api/v1/chatmessage/{your-chatflowid}

• DELETE /api/v1/chatmessage/{your-chatflowid}

Query Parameters

Param	Type	Value
sessionId	string
sort	enum	ASC or DESC
startDate	string
endDate	string

Tutorials

• How to use LangFlux API

• How to use LangFlux API and connect to Bubble