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ASR compatível com OpenAI
Áudio via API de bate-papo
Métodos de conexão
Escolha o método que corresponde ao seu modelo.
| Modelo | Método de conexão |
|---|---|
| Qwen3-ASR-Flash-Filetrans | DashScope assíncrono apenas |
| Qwen3-ASR-Flash | Compatível com OpenAI e DashScope síncrono |
Formatos de áudio suportados
Qwen3-ASR-Flash aceita áudio codificado em Base64 ou URLs acessíveis publicamente.
Entrada de áudio codificada em Base64
Use o URL de dados formato: data:<mediatype>;base64,<data>.
<mediatype>: o tipo MIME. Por exemplo, WAV:audio/wav, MP3:audio/mpeg.<data>: a string codificada em Base64. A codificação aumenta o tamanho do arquivo. Mantenha o áudio codificado dentro do limite de 10 MB.
Exemplo: data:audio/wav;base64,SUQzBAAAAAAAI1RTU0UAAAAPAAADTGF2ZjU4LjI5LjEwMAAAAAAAAAAAAAAA//PAxABQ/BXRbMPe4IQAhl9
Base64 encoding examples
Python
```python
import base64, pathlib
# Replace "input.mp3" with your audio file path
file_path = pathlib.Path("input.mp3")
base64_str = base64.b64encode(file_path.read_bytes()).decode()
data_uri = f"data:audio/mpeg;base64,{base64_str}"
```
Java
```java
import java.nio.file.*;
import java.util.Base64;
public class Main {
/**
* Replace "filePath" with your audio file path.
*/
public static String toDataUrl(String filePath) throws Exception {
byte[] bytes = Files.readAllBytes(Paths.get(filePath));
String encoded = Base64.getEncoder().encodeToString(bytes);
return "data:audio/mpeg;base64," + encoded;
}
// Example usage
public static void main(String[] args) throws Exception {
System.out.println(toDataUrl("input.mp3"));
}
}
```
asr_options não é padrão. Com o OpenAI SDK, passe-o via extra_body.
OpenAPI
openapi: 3.1.0
info:
title: Qwen-ASR Audio File Recognition API
description: API reference for Qwen-ASR audio file recognition. Supports OpenAI-compatible, DashScope synchronous, and DashScope asynchronous protocols.
version: 1.0.0
servers:
- url: https://maas.qwencloudapi.com
description: Singapore
security:
- bearer: []
paths:
/compatible-mode/v1/chat/completions:
post:
operationId: asrOpenAICompatible
summary: Recognize audio (OpenAI-compatible)
description: Recognize audio files using the OpenAI-compatible Chat Completions API. Supports Qwen3-ASR-Flash. Accepts audio input as URLs or Base64-encoded data.
security:
- bearer: []
requestBody:
required: true
content:
application/json:
schema:
$ref: "#/components/schemas/OpenAIASRRequest"
responses:
"200":
description: Successful response
content:
application/json:
schema:
$ref: "#/components/schemas/OpenAIASRResponse"
x-codeSamples:
- lang: python
label: Audio URL
source: |-
from openai import OpenAI
import os
try:
client = OpenAI(
# If you have not configured environment variables, replace the following line with your API key: api_key = "sk-xxx",
api_key=os.getenv("DASHSCOPE_API_KEY"),
base_url="https://maas.qwencloudapi.com/compatible-mode/v1",
)
stream_enabled = False # Whether to enable streaming output
completion = client.chat.completions.create(
model="qwen3-asr-flash",
messages=[
{
"content": [
{
"type": "input_audio",
"input_audio": {
"data": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3"
}
}
],
"role": "user"
}
],
stream=stream_enabled,
# When stream is set to False, the stream_options parameter cannot be set
# stream_options={"include_usage": True},
extra_body={
"asr_options": {
# "language": "zh",
"enable_itn": False
}
}
)
if stream_enabled:
full_content = ""
print("Streaming output content is:")
for chunk in completion:
# If stream_options.include_usage is True, the choices field of the last chunk is an empty list and should be skipped (you can get token usage via chunk.usage)
print(chunk)
if chunk.choices and chunk.choices[0].delta.content:
full_content += chunk.choices[0].delta.content
print(f"Full content is: {full_content}")
else:
print(f"Non-streaming output content is: {completion.choices[0].message.content}")
except Exception as e:
print(f"Error message: {e}")
- lang: python
label: Base64-encoded audio
source: |-
import base64
from openai import OpenAI
import os
import pathlib
try:
# Replace with the actual path to your audio file
file_path = "welcome.mp3"
# Replace with the actual MIME type of your audio file
audio_mime_type = "audio/mpeg"
file_path_obj = pathlib.Path(file_path)
if not file_path_obj.exists():
raise FileNotFoundError(f"Audio file not found: {file_path}")
base64_str = base64.b64encode(file_path_obj.read_bytes()).decode()
data_uri = f"data:{audio_mime_type};base64,{base64_str}"
client = OpenAI(
# If you have not configured environment variables, replace the following line with your API key: api_key = "sk-xxx",
api_key=os.getenv("DASHSCOPE_API_KEY"),
base_url="https://maas.qwencloudapi.com/compatible-mode/v1",
)
stream_enabled = False # Whether to enable streaming output
completion = client.chat.completions.create(
model="qwen3-asr-flash",
messages=[
{
"content": [
{
"type": "input_audio",
"input_audio": {
"data": data_uri
}
}
],
"role": "user"
}
],
stream=stream_enabled,
# When stream is set to False, the stream_options parameter cannot be set
# stream_options={"include_usage": True},
extra_body={
"asr_options": {
# "language": "zh",
"enable_itn": False
}
}
)
if stream_enabled:
full_content = ""
print("Streaming output content is:")
for chunk in completion:
# If stream_options.include_usage is True, the choices field of the last chunk is an empty list and should be skipped (you can get token usage via chunk.usage)
print(chunk)
if chunk.choices and chunk.choices[0].delta.content:
full_content += chunk.choices[0].delta.content
print(f"Full content is: {full_content}")
else:
print(f"Non-streaming output content is: {completion.choices[0].message.content}")
except Exception as e:
print(f"Error message: {e}")
- lang: javascript
label: Audio URL
source: |-
// Preparations before running:
// Universal for Windows/Mac/Linux:
// 1. Make sure Node.js is installed (version >= 14 recommended)
// 2. Run the following command to install necessary dependencies: npm install openai
import OpenAI from "openai";
const client = new OpenAI({
// If you have not configured environment variables, replace the following line with your API key: apiKey: "sk-xxx",
apiKey: process.env.DASHSCOPE_API_KEY,
baseURL: "https://maas.qwencloudapi.com/compatible-mode/v1",
});
async function main() {
try {
const streamEnabled = false; // Whether to enable streaming output
const completion = await client.chat.completions.create({
model: "qwen3-asr-flash",
messages: [
{
role: "user",
content: [
{
type: "input_audio",
input_audio: {
data: "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3"
}
}
]
}
],
stream: streamEnabled,
// When stream is set to False, the stream_options parameter cannot be set
// stream_options: {
// "include_usage": true
// },
asr_options: {
// language: "zh",
enable_itn: false
}
});
if (streamEnabled) {
let fullContent = "";
console.log("Streaming output content is:");
for await (const chunk of completion) {
console.log(JSON.stringify(chunk));
if (chunk.choices && chunk.choices.length > 0) {
const delta = chunk.choices[0].delta;
if (delta && delta.content) {
fullContent += delta.content;
}
}
}
console.log(`Full content is: ${fullContent}`);
} else {
console.log(`Non-streaming output content is: ${completion.choices[0].message.content}`);
}
} catch (err) {
console.error(`Error message: ${err}`);
}
}
main();
- lang: javascript
label: Base64-encoded audio
source: |-
// Preparations before running:
// Universal for Windows/Mac/Linux:
// 1. Make sure Node.js is installed (version >= 14 recommended)
// 2. Run the following command to install necessary dependencies: npm install openai
import OpenAI from "openai";
import { readFileSync } from 'fs';
const client = new OpenAI({
// If you have not configured environment variables, replace the following line with your API key: apiKey: "sk-xxx",
apiKey: process.env.DASHSCOPE_API_KEY,
baseURL: "https://maas.qwencloudapi.com/compatible-mode/v1",
});
const encodeAudioFile = (audioFilePath) => {
const audioFile = readFileSync(audioFilePath);
return audioFile.toString('base64');
};
// Replace with the actual path to your audio file
const dataUri = `data:audio/mpeg;base64,${encodeAudioFile("welcome.mp3")}`;
async function main() {
try {
const streamEnabled = false; // Whether to enable streaming output
const completion = await client.chat.completions.create({
model: "qwen3-asr-flash",
messages: [
{
role: "user",
content: [
{
type: "input_audio",
input_audio: {
data: dataUri
}
}
]
}
],
stream: streamEnabled,
// When stream is set to False, the stream_options parameter cannot be set
// stream_options: {
// "include_usage": true
// },
asr_options: {
// language: "zh",
enable_itn: false
}
});
if (streamEnabled) {
let fullContent = "";
console.log("Streaming output content is:");
for await (const chunk of completion) {
console.log(JSON.stringify(chunk));
if (chunk.choices && chunk.choices.length > 0) {
const delta = chunk.choices[0].delta;
if (delta && delta.content) {
fullContent += delta.content;
}
}
}
console.log(`Full content is: ${fullContent}`);
} else {
console.log(`Non-streaming output content is: ${completion.choices[0].message.content}`);
}
} catch (err) {
console.error(`Error message: ${err}`);
}
}
main();
- lang: bash
label: Audio URL
source: |-
curl -X POST 'https://maas.qwencloudapi.com/compatible-mode/v1/chat/completions' \
-H "Authorization: Bearer $DASHSCOPE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3-asr-flash",
"messages": [
{
"content": [
{
"type": "input_audio",
"input_audio": {
"data": "https://dashscope.oss-cn-beijing.aliyuncs.com/audios/welcome.mp3"
}
}
],
"role": "user"
}
],
"stream":false,
"asr_options": {
"enable_itn": false
}
}'
components:
securitySchemes:
bearer:
type: http
scheme: bearer
description: DashScope API key. Get your API key from [QwenCloud console](https://home.qwencloud.com/api-keys).
schemas:
OpenAIASRRequest:
type: object
required:
- model
- messages
properties:
model:
type: string
description: The model name. Only applicable to Qwen3-ASR-Flash.
examples:
- qwen3-asr-flash
messages:
type: array
description: The list of messages.
items:
type: object
required:
- role
- content
properties:
role:
type: string
description: The role of the message sender.
enum:
- system
- user
content:
type: array
description: The content of the message.
items:
type: object
properties:
type:
type: string
description: Set to `input_audio` for audio input.
enum:
- input_audio
input_audio:
type: object
description: The audio input object.
properties:
data:
type: string
description: "The audio to recognize. Supports URLs of Internet-accessible files and Base64-encoded data (Data URL format: `data:<mediatype>;base64,<data>`)."
text:
type: string
description: "Context for customized recognition (System Message only). Provide background text, entity vocabularies, and other reference information. Length limit: 10,000 tokens."
asr_options:
type: object
description: Specifies whether to enable certain features. Not a standard OpenAI parameter — pass it through `extra_body` when using an OpenAI SDK.
properties:
language:
type: string
description: If you know the language of the audio, specify it to improve recognition accuracy. Specify only one language. If the audio contains multiple languages, do not specify this parameter.
enum:
- zh
- yue
- en
- ja
- de
- ko
- ru
- fr
- pt
- ar
- it
- es
- hi
- id
- th
- tr
- uk
- vi
- cs
- da
- fil
- fi
- is
- ms
- no
- pl
- sv
enable_itn:
type: boolean
description: Specifies whether to enable Inverse Text Normalization (ITN). Applicable only to Chinese and English audio.
default: false
stream:
type: boolean
description: Specifies whether to use streaming output. We recommend setting this to `true` to improve responsiveness and reduce the risk of timeouts.
default: false
stream_options:
type: object
description: Configuration for streaming output. Takes effect only when `stream` is `true`.
properties:
include_usage:
type: boolean
description: Specifies whether to include token consumption information in the last data block of the response.
default: false
OpenAIASRResponse:
type: object
properties:
id:
type: string
description: The unique identifier for this call.
example: chatcmpl-487abe5f-d4f2-9363-a877-xxxxxxx
choices:
type: array
description: The output information of the model.
items:
type: object
properties:
finish_reason:
type: string
description: "`null` during generation. `stop` when finished naturally. `length` when output exceeded maximum length."
enum:
- stop
- length
- null
example: stop
index:
type: integer
description: The index of the current object in the `choices` array.
example: 0
message:
type: object
description: The message object output by the model.
properties:
role:
type: string
description: The role of the output message. Always `assistant`.
example: assistant
content:
type: string
description: The speech recognition result text.
example: Welcome to QwenCloud.
annotations:
type: array
description: Output annotation information, such as language and emotion.
items:
type: object
properties:
type:
type: string
description: Set to `audio_info`.
example: audio_info
language:
type: string
description: The language of the recognized audio.
enum:
- zh
- yue
- en
- ja
- de
- ko
- ru
- fr
- pt
- ar
- it
- es
- hi
- id
- th
- tr
- uk
- vi
- cs
- da
- fil
- fi
- is
- ms
- no
- pl
- sv
example: zh
emotion:
type: string
description: The emotion of the recognized audio.
enum:
- surprised
- neutral
- happy
- sad
- disgusted
- angry
- fearful
example: neutral
example:
- emotion: neutral
language: zh
type: audio_info
example:
- finish_reason: stop
index: 0
message:
annotations:
- emotion: neutral
language: zh
type: audio_info
content: Welcome to QwenCloud.
role: assistant
created:
type: integer
description: The UNIX timestamp (in seconds) when the request was created.
example: 1767683986
model:
type: string
description: The model used for this request.
example: qwen3-asr-flash
object:
type: string
description: Always `chat.completion`.
example: chat.completion
usage:
type: object
description: Token consumption information.
properties:
completion_tokens:
type: integer
description: The number of tokens in the model's output.
example: 12
completion_tokens_details:
type: object
properties:
text_tokens:
type: integer
description: The number of tokens in the model's output text.
example: 12
prompt_tokens:
type: integer
description: The number of tokens in the input.
example: 42
prompt_tokens_details:
type: object
properties:
audio_tokens:
type: integer
description: The length of the input audio in tokens. Each second of audio converts to 25 tokens. Audio shorter than 1 second is counted as 1 second.
example: 42
text_tokens:
type: integer
description: Ignore this parameter.
example: 0
seconds:
type: integer
description: The duration of the audio in seconds.
example: 1
total_tokens:
type: integer
description: The total number of tokens in the input and output.
example: 54
examples:
- summary: Non-streaming response
value:
choices:
- finish_reason: stop
index: 0
message:
annotations:
- emotion: neutral
language: zh
type: audio_info
content: Welcome to QwenCloud.
role: assistant
created: 1767683986
id: chatcmpl-487abe5f-d4f2-9363-a877-xxxxxxx
model: qwen3-asr-flash
object: chat.completion
usage:
completion_tokens: 12
completion_tokens_details:
text_tokens: 12
prompt_tokens: 42
prompt_tokens_details:
audio_tokens: 42
text_tokens: 0
seconds: 1
total_tokens: 54
DashScopeASRRequest:
type: object
required:
- model
- input
properties:
model:
type: string
description: The model name. Only applicable to Qwen3-ASR-Flash.
examples:
- qwen3-asr-flash
input:
type: object
required:
- messages
description: The input object.
properties:
messages:
type: array
description: The list of messages.
items:
type: object
required:
- role
- content
properties:
role:
type: string
description: The role of the message sender.
enum:
- system
- user
content:
type: array
description: The content of the message.
items:
type: object
properties:
audio:
type: string
description: The audio to recognize (User Message). Supports URLs, Base64-encoded data, and local file paths (SDK only).
text:
type: string
description: "Context for customized recognition (System Message). Length limit: 10,000 tokens."
parameters:
type: object
description: Additional parameters.
properties:
asr_options:
type: object
description: Specifies whether to enable certain features. Supported only by Qwen3-ASR-Flash.
properties:
language:
type: string
description: If you know the language of the audio, specify it to improve recognition accuracy. Specify only one language. If the audio contains multiple languages, do not specify this parameter.
enum:
- zh
- yue
- en
- ja
- de
- ko
- ru
- fr
- pt
- ar
- it
- es
- hi
- id
- th
- tr
- uk
- vi
- cs
- da
- fil
- fi
- is
- ms
- no
- pl
- sv
enable_itn:
type: boolean
description: Specifies whether to enable Inverse Text Normalization (ITN). Applicable only to Chinese and English audio.
default: false
DashScopeASRResponse:
type: object
properties:
request_id:
type: string
description: The unique identifier for this call. The Java SDK returns this as `requestId`.
example: 568e2bf0-d6f2-97f8-9f15-a57b11dc6977
output:
type: object
description: The call result.
properties:
choices:
type: array
description: The model output, included when `result_format` is `message`.
items:
type: object
properties:
finish_reason:
type: string
description: "`null` during generation. `stop` when finished naturally. `length` when output exceeded maximum length."
enum:
- stop
- length
- null
example: stop
message:
type: object
description: The message object output by the model.
properties:
role:
type: string
description: The role of the output message. Always `assistant`.
example: assistant
content:
type: array
description: The output message content.
items:
type: object
properties:
text:
type: string
description: The speech recognition result text.
example: Welcome to QwenCloud.
example:
- text: Welcome to QwenCloud.
annotations:
type: array
description: Output annotation information.
items:
type: object
properties:
type:
type: string
description: Set to `audio_info`.
example: audio_info
language:
type: string
description: The language of the recognized audio.
enum:
- zh
- yue
- en
- ja
- de
- ko
- ru
- fr
- pt
- ar
- it
- es
- hi
- id
- th
- tr
- uk
- vi
- cs
- da
- fil
- fi
- is
- ms
- no
- pl
- sv
example: zh
emotion:
type: string
description: The emotion of the recognized audio.
enum:
- surprised
- neutral
- happy
- sad
- disgusted
- angry
- fearful
example: neutral
example:
- language: zh
type: audio_info
emotion: neutral
example:
- finish_reason: stop
message:
annotations:
- language: zh
type: audio_info
emotion: neutral
content:
- text: Welcome to QwenCloud.
role: assistant
usage:
type: object
description: Token consumption information.
properties:
input_tokens_details:
type: object
properties:
text_tokens:
type: integer
description: Ignore this parameter.
example: 0
output_tokens_details:
type: object
properties:
text_tokens:
type: integer
description: The length of the recognized text output in tokens.
example: 6
seconds:
type: integer
description: The duration of the audio in seconds.
example: 1
examples:
- summary: DashScope synchronous response
value:
output:
choices:
- finish_reason: stop
message:
annotations:
- language: zh
type: audio_info
emotion: neutral
content:
- text: Welcome to QwenCloud.
role: assistant
usage:
input_tokens_details:
text_tokens: 0
output_tokens_details:
text_tokens: 6
seconds: 1
request_id: 568e2bf0-d6f2-97f8-9f15-a57b11dc6977
AsyncASRRequest:
type: object
required:
- model
- input
properties:
model:
type: string
description: The model name. Only applicable to Qwen3-ASR-Flash-Filetrans.
examples:
- qwen3-asr-flash-filetrans
input:
type: object
required:
- file_url
description: The input object.
properties:
file_url:
type: string
description: The URL of the audio file to be recognized. Must be accessible over the Internet.
parameters:
type: object
description: Additional parameters.
properties:
language:
type: string
description: If you know the language of the audio, specify it to improve recognition accuracy.
enum:
- zh
- yue
- en
- ja
- de
- ko
- ru
- fr
- pt
- ar
- it
- es
- hi
- id
- th
- tr
- uk
- vi
- cs
- da
- fil
- fi
- is
- ms
- no
- pl
- sv
enable_itn:
type: boolean
description: Specifies whether to enable Inverse Text Normalization (ITN). Applicable only to Chinese and English audio.
default: false
enable_words:
type: boolean
description: "Controls whether to return word-level timestamps. When `false`, returns sentence-level timestamps. When `true`, returns word-level timestamps (supported for Chinese, English, Japanese, Korean, German, French, Spanish, Italian, Portuguese, and Russian). Also affects sentence segmentation: `false` uses VAD-based segmentation, `true` uses VAD and punctuation-based segmentation."
default: false
text:
type: string
description: "Context for customized recognition. Provide background text, entity vocabularies, and other reference information. Length limit: 10,000 tokens."
channel_id:
type: array
items:
type: integer
description: "Indexes of audio tracks to recognize in a multi-track audio file. Index starts from 0. Default: `[0]`. Each specified track is billed separately."
default:
- 0
AsyncASRSubmitResponse:
type: object
properties:
request_id:
type: string
description: The unique identifier for this call.
example: 92e3decd-0c69-47a8-xxxxxxxxxxxx
output:
type: object
properties:
task_id:
type: string
description: The task ID. Use this to query the task result.
example: 8fab76d0-0eed-4d20-xxxxxxxxxxxx
task_status:
type: string
description: The task status.
enum:
- PENDING
- RUNNING
- SUCCEEDED
- FAILED
- UNKNOWN
example: PENDING
examples:
- summary: Task submitted
value:
request_id: 92e3decd-0c69-47a8-xxxxxxxxxxxx
output:
task_id: 8fab76d0-0eed-4d20-xxxxxxxxxxxx
task_status: PENDING
AsyncASRGetResponse:
type: object
properties:
request_id:
type: string
description: The unique identifier for this call.
example: 1dca6c0a-0ed1-4662-aa39-xxxxxxxxxxxx
output:
type: object
properties:
task_id:
type: string
description: The task ID.
example: 8fab76d0-0eed-4d20-929f-xxxxxxxxxxxx
task_status:
type: string
description: The task status.
enum:
- PENDING
- RUNNING
- SUCCEEDED
- FAILED
- UNKNOWN
example: SUCCEEDED
result:
type: object
description: The recognition result (available when task_status is SUCCEEDED).
properties:
transcription_url:
type: string
description: The download URL for the recognition result JSON file. Valid for 24 hours.
example: https://dashscope-result.oss-cn-beijing.aliyuncs.com/result.json?Expires=1761631066&OSSAccessKeyId=LTAIxxxx&Signature=xxxx
submit_time:
type: string
description: The time when the task was submitted.
example: 2025-10-27 13:57:45.948
scheduled_time:
type: string
description: The time when the task was scheduled (start of execution).
example: 2025-10-27 13:57:46.018
end_time:
type: string
description: The time when the task ended.
example: 2025-10-27 13:57:47.079
task_metrics:
type: object
description: Task metrics with subtask status statistics.
properties:
TOTAL:
type: integer
description: The total number of subtasks.
example: 1
SUCCEEDED:
type: integer
description: The number of successful subtasks.
example: 0
FAILED:
type: integer
description: The number of failed subtasks.
example: 0
code:
type: string
description: Error code. Returned only when the task fails.
example: FILE_403_FORBIDDEN
message:
type: string
description: Error message. Returned only when the task fails.
example: FILE_403_FORBIDDEN
usage:
type: object
description: Token consumption information.
properties:
seconds:
type: integer
description: The duration of the audio in seconds.
example: 3
examples:
- summary: SUCCEEDED
value:
request_id: 1dca6c0a-0ed1-4662-aa39-xxxxxxxxxxxx
output:
task_id: 8fab76d0-0eed-4d20-929f-xxxxxxxxxxxx
task_status: SUCCEEDED
submit_time: 2025-10-27 13:57:45.948
scheduled_time: 2025-10-27 13:57:46.018
end_time: 2025-10-27 13:57:47.079
result:
transcription_url: https://dashscope-result.oss-cn-beijing.aliyuncs.com/result.json?Expires=1761631066&OSSAccessKeyId=LTAIxxxx&Signature=xxxx
usage:
seconds: 3
- summary: RUNNING
value:
request_id: 6769df07-2768-4fb0-ad59-xxxxxxxxxxxx
output:
task_id: 9be1700a-0f8e-4778-be74-xxxxxxxxxxxx
task_status: RUNNING
submit_time: 2025-10-27 14:19:31.150
scheduled_time: 2025-10-27 14:19:31.233
task_metrics:
TOTAL: 1
SUCCEEDED: 0
FAILED: 0
- summary: FAILED
value:
request_id: 3d141841-858a-466a-9ff9-xxxxxxxxxxxx
output:
task_id: c58c7951-7789-4557-9ea3-xxxxxxxxxxxx
task_status: FAILED
submit_time: 2025-10-27 15:06:06.915
scheduled_time: 2025-10-27 15:06:06.967
end_time: 2025-10-27 15:06:07.584
code: FILE_403_FORBIDDEN
message: FILE_403_FORBIDDEN