テキストからドキュメントを作成

curl --request POST \
  --url https://api.dify.ai/v1/datasets/{dataset_id}/document/create-by-text \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "indexing_technique": "high_quality",
  "name": "guide.txt",
  "text": "Dify is an open-source LLM application development platform. This guide covers building AI applications with workflows, RAG pipelines, and agents."
}'

import requests

url = "https://api.dify.ai/v1/datasets/{dataset_id}/document/create-by-text"
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json",
}
payload = {
    "indexing_technique": "high_quality",
    "name": "guide.txt",
    "text": "Dify is an open-source LLM application development platform. This guide covers building AI applications with workflows, RAG pipelines, and agents."
}

response = requests.request("POST", url, headers=headers, json=payload)

print(response.text)

const response = await fetch('https://api.dify.ai/v1/datasets/{dataset_id}/document/create-by-text', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer <token>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    "indexing_technique": "high_quality",
    "name": "guide.txt",
    "text": "Dify is an open-source LLM application development platform. This guide covers building AI applications with workflows, RAG pipelines, and agents."
  })
});

const data = await response.json();
console.log(data);

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => 'https://api.dify.ai/v1/datasets/{dataset_id}/document/create-by-text',
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_CUSTOMREQUEST => 'POST',
  CURLOPT_POSTFIELDS => '{
  "indexing_technique": "high_quality",
  "name": "guide.txt",
  "text": "Dify is an open-source LLM application development platform. This guide covers building AI applications with workflows, RAG pipelines, and agents."
}',
  CURLOPT_HTTPHEADER => [
    'Authorization: Bearer <token>',
    'Content-Type: application/json',
  ],
]);

$response = curl_exec($curl);
curl_close($curl);

echo $response;

package main

import (
	"fmt"
	"io"
	"net/http"
	"strings"
)

func main() {
	url := "https://api.dify.ai/v1/datasets/{dataset_id}/document/create-by-text"
	payload := strings.NewReader("{\n  \"indexing_technique\": \"high_quality\",\n  \"name\": \"guide.txt\",\n  \"text\": \"Dify is an open-source LLM application development platform. This guide covers building AI applications with workflows, RAG pipelines, and agents.\"\n}")

	req, _ := http.NewRequest("POST", url, payload)
	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)
	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))
}

HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://api.dify.ai/v1/datasets/{dataset_id}/document/create-by-text"))
    .header("Authorization", "Bearer <token>")
    .header("Content-Type", "application/json")
    .method("POST", HttpRequest.BodyPublishers.ofString("{\n  \"indexing_technique\": \"high_quality\",\n  \"name\": \"guide.txt\",\n  \"text\": \"Dify is an open-source LLM application development platform. This guide covers building AI applications with workflows, RAG pipelines, and agents.\"\n}"))
    .build();

HttpResponse<String> response = HttpClient.newHttpClient()
    .send(request, HttpResponse.BodyHandlers.ofString());

System.out.println(response.body());

require 'uri'
require 'net/http'

url = URI('https://api.dify.ai/v1/datasets/{dataset_id}/document/create-by-text')

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = url.scheme == 'https'

request = Net::HTTP::Post.new(url)
request['Authorization'] = 'Bearer <token>'
request['Content-Type'] = 'application/json'
request.body = '{
  "indexing_technique": "high_quality",
  "name": "guide.txt",
  "text": "Dify is an open-source LLM application development platform. This guide covers building AI applications with workflows, RAG pipelines, and agents."
}'

response = http.request(request)
puts response.read_body