mirror of https://github.com/langgenius/dify
Feat/sdk vision support (#1531)
Co-authored-by: Joel <iamjoel007@gmail.com>
This commit is contained in:
parent
ac3496e681
commit
5b7071e4b0
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@ -26,6 +26,9 @@ class FileApi(AppApiResource):
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if 'file' not in request.files:
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raise NoFileUploadedError()
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if not file.mimetype:
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raise UnsupportedFileTypeError()
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if len(request.files) > 1:
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raise TooManyFilesError()
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@ -14,27 +14,33 @@ import { DifyClient, ChatClient, CompletionClient } from 'dify-client'
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const API_KEY = 'your-api-key-here'
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const user = `random-user-id`
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const inputs = {
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name: 'test name a'
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}
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const query = "Please tell me a short story in 10 words or less."
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const query = 'Please tell me a short story in 10 words or less.'
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const remote_url_files = [{
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type: 'image',
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transfer_method: 'remote_url',
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url: 'your_url_addresss'
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}]
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// Create a completion client
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const completionClient = new CompletionClient(API_KEY)
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// Create a completion message
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completionClient.createCompletionMessage(inputs, query, responseMode, user)
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completionClient.createCompletionMessage({'query': query}, user)
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// Create a completion message with vision model
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completionClient.createCompletionMessage({'query': 'Describe the picture.'}, user, false, remote_url_files)
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// Create a chat client
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const chatClient = new ChatClient(API_KEY)
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// Create a chat message in stream mode
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const response = await chatClient.createChatMessage(inputs, query, user, true, null)
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const response = await chatClient.createChatMessage({}, query, user, true, null)
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const stream = response.data;
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stream.on('data', data => {
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console.log(data);
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});
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stream.on('end', () => {
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console.log("stream done");
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console.log('stream done');
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});
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// Create a chat message with vision model
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chatClient.createChatMessage({}, 'Describe the picture.', user, false, null, remote_url_files)
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// Fetch conversations
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chatClient.getConversations(user)
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// Fetch conversation messages
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@ -34,6 +34,10 @@ export const routes = {
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method: "DELETE",
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url: (conversation_id) => `/conversations/${conversation_id}`,
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},
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fileUpload: {
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method: "POST",
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url: () => `/files/upload`,
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}
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};
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export class DifyClient {
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@ -51,11 +55,15 @@ export class DifyClient {
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endpoint,
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data = null,
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params = null,
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stream = false
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stream = false,
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headerParams = {}
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) {
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const headers = {
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...{
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Authorization: `Bearer ${this.apiKey}`,
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"Content-Type": "application/json",
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},
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...headerParams
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};
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const url = `${this.baseUrl}${endpoint}`;
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@ -104,15 +112,28 @@ export class DifyClient {
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params
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);
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}
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fileUpload(data) {
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return this.sendRequest(
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routes.fileUpload.method,
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routes.fileUpload.url(),
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data,
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null,
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false,
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{
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"Content-Type": 'multipart/form-data'
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}
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);
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}
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}
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export class CompletionClient extends DifyClient {
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createCompletionMessage(inputs, query, user, stream = false) {
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createCompletionMessage(inputs, user, stream = false, files = null) {
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const data = {
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inputs,
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query,
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user,
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response_mode: stream ? "streaming" : "blocking",
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files,
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};
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return this.sendRequest(
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routes.createCompletionMessage.method,
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@ -130,13 +151,15 @@ export class ChatClient extends DifyClient {
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query,
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user,
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stream = false,
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conversation_id = null
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conversation_id = null,
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files = null
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) {
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const data = {
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inputs,
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query,
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user,
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response_mode: stream ? "streaming" : "blocking",
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files,
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};
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if (conversation_id) data.conversation_id = conversation_id;
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@ -1,6 +1,6 @@
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{
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"name": "dify-client",
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"version": "2.0.0",
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"version": "2.1.0",
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"description": "This is the Node.js SDK for the Dify.AI API, which allows you to easily integrate Dify.AI into your Node.js applications.",
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"main": "index.js",
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"type": "module",
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@ -11,7 +11,7 @@ This is the PHP SDK for the Dify API, which allows you to easily integrate Dify
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After installing the SDK, you can use it in your project like this:
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```
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```php
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<?php
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require 'vendor/autoload.php';
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@ -26,17 +26,50 @@ $difyClient = new DifyClient($apiKey);
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// Create a completion client
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$completionClient = new CompletionClient($apiKey);
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$response = $completionClient->create_completion_message($inputs, $query, $response_mode, $user);
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$response = $completionClient->create_completion_message(array("query" => "Who are you?"), "blocking", "user_id");
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// Create a chat client
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$chatClient = new ChatClient($apiKey);
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$response = $chatClient->create_chat_message($inputs, $query, $user, $response_mode, $conversation_id);
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$response = $chatClient->create_chat_message(array(), "Who are you?", "user_id", "blocking", $conversation_id);
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$fileForVision = [
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[
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"type" => "image",
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"transfer_method" => "remote_url",
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"url" => "your_image_url"
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]
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];
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// $fileForVision = [
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// [
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// "type" => "image",
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// "transfer_method" => "local_file",
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// "url" => "your_file_id"
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// ]
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// ];
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// Create a completion client with vision model like gpt-4-vision
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$response = $completionClient->create_completion_message(array("query" => "Describe this image."), "blocking", "user_id", $fileForVision);
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// Create a chat client with vision model like gpt-4-vision
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$response = $chatClient->create_chat_message(array(), "Describe this image.", "user_id", "blocking", $conversation_id, $fileForVision);
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// File Upload
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$fileForUpload = [
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[
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'tmp_name' => '/path/to/file/filename.jpg',
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'name' => 'filename.jpg'
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]
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];
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$response = $difyClient->file_upload("user_id", $fileForUpload);
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$result = json_decode($response->getBody(), true);
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echo 'upload_file_id: ' . $result['id'];
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// Fetch application parameters
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$response = $difyClient->get_application_parameters($user);
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$response = $difyClient->get_application_parameters("user_id");
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// Provide feedback for a message
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$response = $difyClient->message_feedback($message_id, $rating, $user);
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$response = $difyClient->message_feedback($message_id, $rating, "user_id");
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// Other available methods:
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// - get_conversation_messages()
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@ -19,6 +19,13 @@ class DifyClient {
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'Content-Type' => 'application/json',
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],
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]);
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$this->file_client = new Client([
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'base_uri' => $this->base_url,
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'headers' => [
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'Authorization' => 'Bearer ' . $this->api_key,
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'Content-Type' => 'multipart/form-data',
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],
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]);
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}
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protected function send_request($method, $endpoint, $data = null, $params = null, $stream = false) {
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@ -44,27 +51,57 @@ class DifyClient {
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$params = ['user' => $user];
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return $this->send_request('GET', 'parameters', null, $params);
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}
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public function file_upload($user, $files) {
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$data = ['user' => $user];
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$options = [
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'multipart' => $this->prepareMultipart($data, $files)
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];
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return $this->file_client->request('POST', 'files/upload', $options);
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}
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protected function prepareMultipart($data, $files) {
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$multipart = [];
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foreach ($data as $key => $value) {
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$multipart[] = [
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'name' => $key,
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'contents' => $value
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];
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}
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foreach ($files as $file) {
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$multipart[] = [
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'name' => 'file',
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'contents' => fopen($file['tmp_name'], 'r'),
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'filename' => $file['name']
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];
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}
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return $multipart;
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}
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}
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class CompletionClient extends DifyClient {
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public function create_completion_message($inputs, $query, $response_mode, $user) {
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public function create_completion_message($inputs, $response_mode, $user, $files = null) {
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$data = [
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'inputs' => $inputs,
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'query' => $query,
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'response_mode' => $response_mode,
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'user' => $user,
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'files' => $files,
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];
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return $this->send_request('POST', 'completion-messages', $data, null, $response_mode === 'streaming');
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}
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}
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class ChatClient extends DifyClient {
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public function create_chat_message($inputs, $query, $user, $response_mode = 'blocking', $conversation_id = null) {
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public function create_chat_message($inputs, $query, $user, $response_mode = 'blocking', $conversation_id = null, $files = null) {
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$data = [
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'inputs' => $inputs,
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'query' => $query,
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'user' => $user,
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'response_mode' => $response_mode,
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'files' => $files,
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];
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if ($conversation_id) {
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$data['conversation_id'] = $conversation_id;
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@ -14,8 +14,7 @@ Write your code with sdk:
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- completion generate with `blocking` response_mode
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```
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import json
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```python
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from dify_client import CompletionClient
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api_key = "your_api_key"
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completion_client = CompletionClient(api_key)
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# Create Completion Message using CompletionClient
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completion_response = completion_client.create_completion_message(inputs={}, query="Hello", response_mode="blocking", user="user_id")
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completion_response = completion_client.create_completion_message(inputs={"query": "What's the weather like today?"},
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response_mode="blocking", user="user_id")
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completion_response.raise_for_status()
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result = completion_response.text
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result = json.loads(result)
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result = completion_response.json()
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print(result.get('answer'))
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```
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- completion using vision model, like gpt-4-vision
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```python
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from dify_client import CompletionClient
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api_key = "your_api_key"
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# Initialize CompletionClient
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completion_client = CompletionClient(api_key)
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files = [{
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"type": "image",
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"transfer_method": "remote_url",
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"url": "your_image_url"
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}]
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# files = [{
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# "type": "image",
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# "transfer_method": "local_file",
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# "upload_file_id": "your_file_id"
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# }]
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# Create Completion Message using CompletionClient
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completion_response = completion_client.create_completion_message(inputs={"query": "Describe the picture."},
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response_mode="blocking", user="user_id", files=files)
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completion_response.raise_for_status()
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result = completion_response.json()
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print(result.get('answer'))
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```
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- chat generate with `streaming` response_mode
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```
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```python
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import json
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from dify_client import ChatClient
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@ -55,10 +86,67 @@ for line in chat_response.iter_lines(decode_unicode=True):
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print(line.get('answer'))
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```
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- chat using vision model, like gpt-4-vision
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```python
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from dify_client import ChatClient
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api_key = "your_api_key"
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# Initialize ChatClient
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chat_client = ChatClient(api_key)
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files = [{
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"type": "image",
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"transfer_method": "remote_url",
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"url": "your_image_url"
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}]
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# files = [{
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# "type": "image",
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# "transfer_method": "local_file",
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# "upload_file_id": "your_file_id"
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# }]
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# Create Chat Message using ChatClient
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chat_response = chat_client.create_chat_message(inputs={}, query="Describe the picture.", user="user_id",
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response_mode="blocking", files=files)
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chat_response.raise_for_status()
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result = chat_response.json()
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print(result.get("answer"))
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```
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- upload file when using vision model
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```python
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from dify_client import DifyClient
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api_key = "your_api_key"
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# Initialize Client
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dify_client = DifyClient(api_key)
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file_path = "your_image_file_path"
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file_name = "panda.jpeg"
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mime_type = "image/jpeg"
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with open(file_path, "rb") as file:
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files = {
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"file": (file_name, file, mime_type)
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}
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response = dify_client.file_upload("user_id", files)
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result = response.json()
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print(f'upload_file_id: {result.get("id")}')
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```
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- Others
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```
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import json
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```python
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from dify_client import ChatClient
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api_key = "your_api_key"
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@ -69,32 +157,29 @@ client = ChatClient(api_key)
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# Get App parameters
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parameters = client.get_application_parameters(user="user_id")
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parameters.raise_for_status()
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parameters = json.loads(parameters.text)
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print('[parameters]')
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print(parameters)
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print(parameters.json())
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# Get Conversation List (only for chat)
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conversations = client.get_conversations(user="user_id")
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conversations.raise_for_status()
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conversations = json.loads(conversations.text)
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print('[conversations]')
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print(conversations)
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print(conversations.json())
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# Get Message List (only for chat)
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messages = client.get_conversation_messages(user="user_id", conversation_id="conversation_id")
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messages.raise_for_status()
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messages = json.loads(messages.text)
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print('[messages]')
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print(messages)
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print(messages.json())
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# Rename Conversation (only for chat)
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rename_conversation_response = client.rename_conversation(conversation_id="conversation_id", name="new_name", user="user_id")
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rename_conversation_response = client.rename_conversation(conversation_id="conversation_id",
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name="new_name", user="user_id")
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rename_conversation_response.raise_for_status()
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rename_conversation_result = json.loads(rename_conversation_response.text)
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print('[rename result]')
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print(rename_conversation_result)
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print(rename_conversation_response.json())
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```
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@ -1 +1 @@
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from dify_client.client import ChatClient, CompletionClient
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from dify_client.client import ChatClient, CompletionClient, DifyClient
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|
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@ -6,14 +6,24 @@ class DifyClient:
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self.api_key = api_key
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self.base_url = "https://api.dify.ai/v1"
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def _send_request(self, method, endpoint, data=None, params=None, stream=False):
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def _send_request(self, method, endpoint, json=None, params=None, stream=False):
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headers = {
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"Authorization": f"Bearer {self.api_key}",
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"Content-Type": "application/json"
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}
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url = f"{self.base_url}{endpoint}"
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response = requests.request(method, url, json=data, params=params, headers=headers, stream=stream)
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response = requests.request(method, url, json=json, params=params, headers=headers, stream=stream)
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return response
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def _send_request_with_files(self, method, endpoint, data, files):
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headers = {
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"Authorization": f"Bearer {self.api_key}"
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}
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url = f"{self.base_url}{endpoint}"
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response = requests.request(method, url, data=data, headers=headers, files=files)
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return response
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|
@ -28,30 +38,39 @@ class DifyClient:
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params = {"user": user}
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return self._send_request("GET", "/parameters", params=params)
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class CompletionClient(DifyClient):
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def create_completion_message(self, inputs, query, response_mode, user):
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def file_upload(self, user, files):
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data = {
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"inputs": inputs,
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"query": query,
|
||||
"response_mode": response_mode,
|
||||
"user": user
|
||||
}
|
||||
return self._send_request("POST", "/completion-messages", data, stream=True if response_mode == "streaming" else False)
|
||||
return self._send_request_with_files("POST", "/files/upload", data=data, files=files)
|
||||
|
||||
|
||||
class CompletionClient(DifyClient):
|
||||
def create_completion_message(self, inputs, response_mode, user, files=None):
|
||||
data = {
|
||||
"inputs": inputs,
|
||||
"response_mode": response_mode,
|
||||
"user": user,
|
||||
"files": files
|
||||
}
|
||||
return self._send_request("POST", "/completion-messages", data,
|
||||
stream=True if response_mode == "streaming" else False)
|
||||
|
||||
|
||||
class ChatClient(DifyClient):
|
||||
def create_chat_message(self, inputs, query, user, response_mode="blocking", conversation_id=None):
|
||||
def create_chat_message(self, inputs, query, user, response_mode="blocking", conversation_id=None, files=None):
|
||||
data = {
|
||||
"inputs": inputs,
|
||||
"query": query,
|
||||
"user": user,
|
||||
"response_mode": response_mode
|
||||
"response_mode": response_mode,
|
||||
"files": files
|
||||
}
|
||||
if conversation_id:
|
||||
data["conversation_id"] = conversation_id
|
||||
|
||||
return self._send_request("POST", "/chat-messages", data, stream=True if response_mode == "streaming" else False)
|
||||
return self._send_request("POST", "/chat-messages", data,
|
||||
stream=True if response_mode == "streaming" else False)
|
||||
|
||||
def get_conversation_messages(self, user, conversation_id=None, first_id=None, limit=None):
|
||||
params = {"user": user}
|
||||
|
|
|
@ -5,7 +5,7 @@ with open("README.md", "r", encoding="utf-8") as fh:
|
|||
|
||||
setup(
|
||||
name="dify-client",
|
||||
version="0.1.8",
|
||||
version="0.1.10",
|
||||
author="Dify",
|
||||
author_email="hello@dify.ai",
|
||||
description="A package for interacting with the Dify Service-API",
|
||||
|
|
|
@ -12,15 +12,33 @@ class TestChatClient(unittest.TestCase):
|
|||
|
||||
def test_create_chat_message(self):
|
||||
response = self.chat_client.create_chat_message({}, "Hello, World!", "test_user")
|
||||
self.assertIn("message_id", response)
|
||||
self.assertIn("answer", response.text)
|
||||
|
||||
def test_create_chat_message_with_vision_model_by_remote_url(self):
|
||||
files = [{
|
||||
"type": "image",
|
||||
"transfer_method": "remote_url",
|
||||
"url": "your_image_url"
|
||||
}]
|
||||
response = self.chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files)
|
||||
self.assertIn("answer", response.text)
|
||||
|
||||
def test_create_chat_message_with_vision_model_by_local_file(self):
|
||||
files = [{
|
||||
"type": "image",
|
||||
"transfer_method": "local_file",
|
||||
"upload_file_id": "your_file_id"
|
||||
}]
|
||||
response = self.chat_client.create_chat_message({}, "Describe the picture.", "test_user", files=files)
|
||||
self.assertIn("answer", response.text)
|
||||
|
||||
def test_get_conversation_messages(self):
|
||||
response = self.chat_client.get_conversation_messages("test_user")
|
||||
self.assertIsInstance(response, list)
|
||||
response = self.chat_client.get_conversation_messages("test_user", "your_conversation_id")
|
||||
self.assertIn("answer", response.text)
|
||||
|
||||
def test_get_conversations(self):
|
||||
response = self.chat_client.get_conversations("test_user")
|
||||
self.assertIsInstance(response, list)
|
||||
self.assertIn("data", response.text)
|
||||
|
||||
|
||||
class TestCompletionClient(unittest.TestCase):
|
||||
|
@ -28,8 +46,29 @@ class TestCompletionClient(unittest.TestCase):
|
|||
self.completion_client = CompletionClient(API_KEY)
|
||||
|
||||
def test_create_completion_message(self):
|
||||
response = self.completion_client.create_completion_message({}, "What's the weather like today?", "blocking", "test_user")
|
||||
self.assertIn("message_id", response)
|
||||
response = self.completion_client.create_completion_message({"query": "What's the weather like today?"},
|
||||
"blocking", "test_user")
|
||||
self.assertIn("answer", response.text)
|
||||
|
||||
def test_create_completion_message_with_vision_model_by_remote_url(self):
|
||||
files = [{
|
||||
"type": "image",
|
||||
"transfer_method": "remote_url",
|
||||
"url": "your_image_url"
|
||||
}]
|
||||
response = self.completion_client.create_completion_message(
|
||||
{"query": "Describe the picture."}, "blocking", "test_user", files)
|
||||
self.assertIn("answer", response.text)
|
||||
|
||||
def test_create_completion_message_with_vision_model_by_local_file(self):
|
||||
files = [{
|
||||
"type": "image",
|
||||
"transfer_method": "local_file",
|
||||
"upload_file_id": "your_file_id"
|
||||
}]
|
||||
response = self.completion_client.create_completion_message(
|
||||
{"query": "Describe the picture."}, "blocking", "test_user", files)
|
||||
self.assertIn("answer", response.text)
|
||||
|
||||
|
||||
class TestDifyClient(unittest.TestCase):
|
||||
|
@ -37,12 +76,24 @@ class TestDifyClient(unittest.TestCase):
|
|||
self.dify_client = DifyClient(API_KEY)
|
||||
|
||||
def test_message_feedback(self):
|
||||
response = self.dify_client.message_feedback("test_message_id", 5, "test_user")
|
||||
self.assertIn("success", response)
|
||||
response = self.dify_client.message_feedback("your_message_id", 'like', "test_user")
|
||||
self.assertIn("success", response.text)
|
||||
|
||||
def test_get_application_parameters(self):
|
||||
response = self.dify_client.get_application_parameters("test_user")
|
||||
self.assertIsInstance(response, dict)
|
||||
self.assertIn("user_input_form", response.text)
|
||||
|
||||
def test_file_upload(self):
|
||||
file_path = "your_image_file_path"
|
||||
file_name = "panda.jpeg"
|
||||
mime_type = "image/jpeg"
|
||||
|
||||
with open(file_path, "rb") as file:
|
||||
files = {
|
||||
"file": (file_name, file, mime_type)
|
||||
}
|
||||
response = self.dify_client.file_upload("test_user", files)
|
||||
self.assertIn("name", response.text)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
|
Loading…
Reference in New Issue