Create job
curl --request POST \
--url https://app.ai.relyt.cn/app/api/v2/team/jobs \
--header 'Content-Type: application/json' \
--header 'x-pd-api-key: <api-key>' \
--data '
{
"session_id": "cxxdgegeegeg3433fff",
"user_id": "tmm-dafasdfasdfasdf",
"stream": true,
"question": "Hello World",
"dataset_id": "cm1gjmg8e0057r3x22v1fdu8m",
"datasource_ids": [
"cm1gjmmoo0001h0x24uk1xgu9"
],
"output_language": "AUTO",
"job_mode": "AUTO"
}
'import requests
url = "https://app.ai.relyt.cn/app/api/v2/team/jobs"
payload = {
"session_id": "cxxdgegeegeg3433fff",
"user_id": "tmm-dafasdfasdfasdf",
"stream": True,
"question": "Hello World",
"dataset_id": "cm1gjmg8e0057r3x22v1fdu8m",
"datasource_ids": ["cm1gjmmoo0001h0x24uk1xgu9"],
"output_language": "AUTO",
"job_mode": "AUTO"
}
headers = {
"x-pd-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-pd-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
session_id: 'cxxdgegeegeg3433fff',
user_id: 'tmm-dafasdfasdfasdf',
stream: true,
question: 'Hello World',
dataset_id: 'cm1gjmg8e0057r3x22v1fdu8m',
datasource_ids: ['cm1gjmmoo0001h0x24uk1xgu9'],
output_language: 'AUTO',
job_mode: 'AUTO'
})
};
fetch('https://app.ai.relyt.cn/app/api/v2/team/jobs', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://app.ai.relyt.cn/app/api/v2/team/jobs",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'session_id' => 'cxxdgegeegeg3433fff',
'user_id' => 'tmm-dafasdfasdfasdf',
'stream' => true,
'question' => 'Hello World',
'dataset_id' => 'cm1gjmg8e0057r3x22v1fdu8m',
'datasource_ids' => [
'cm1gjmmoo0001h0x24uk1xgu9'
],
'output_language' => 'AUTO',
'job_mode' => 'AUTO'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-pd-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://app.ai.relyt.cn/app/api/v2/team/jobs"
payload := strings.NewReader("{\n \"session_id\": \"cxxdgegeegeg3433fff\",\n \"user_id\": \"tmm-dafasdfasdfasdf\",\n \"stream\": true,\n \"question\": \"Hello World\",\n \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n \"datasource_ids\": [\n \"cm1gjmmoo0001h0x24uk1xgu9\"\n ],\n \"output_language\": \"AUTO\",\n \"job_mode\": \"AUTO\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-pd-api-key", "<api-key>")
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))
}HttpResponse<String> response = Unirest.post("https://app.ai.relyt.cn/app/api/v2/team/jobs")
.header("x-pd-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"session_id\": \"cxxdgegeegeg3433fff\",\n \"user_id\": \"tmm-dafasdfasdfasdf\",\n \"stream\": true,\n \"question\": \"Hello World\",\n \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n \"datasource_ids\": [\n \"cm1gjmmoo0001h0x24uk1xgu9\"\n ],\n \"output_language\": \"AUTO\",\n \"job_mode\": \"AUTO\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://app.ai.relyt.cn/app/api/v2/team/jobs")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-pd-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"session_id\": \"cxxdgegeegeg3433fff\",\n \"user_id\": \"tmm-dafasdfasdfasdf\",\n \"stream\": true,\n \"question\": \"Hello World\",\n \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n \"datasource_ids\": [\n \"cm1gjmmoo0001h0x24uk1xgu9\"\n ],\n \"output_language\": \"AUTO\",\n \"job_mode\": \"AUTO\"\n}"
response = http.request(request)
puts response.read_body{
"code": 0,
"data": {
"job_id": "job-cm3ikdeuj02zk01l1yeuirt77",
"blocks": [
{
"type": "CODE",
"content": "```python\n\nimport pandas as pd\n\ndef invoke(input_0: pd.DataFrame) -> pd.DataFrame:\n '''\n input_0: pd.DataFrame makeovermonday-a-century-of-global-deaths-from-disasters_decadal-deaths-disasters-type.csv\n '''\n # Group by 'Year' and sum the deaths for each type of disaster\n aggregated_data = input_0.groupby('Year').sum().reset_index()\n \n # Select only the columns related to deaths\n death_columns = [\n 'Deaths - Drought (decadal)', 'Deaths - Flood (decadal)', \n 'Deaths - Earthquake (decadal)', 'Deaths - Extreme weather (decadal)', \n 'Deaths - Extreme temperature (decadal)', 'Deaths - Volcanic activity (decadal)', \n 'Deaths - Wildfire (decadal)', 'Deaths - Glacial lake outburst flood (decadal)', \n 'Deaths - Dry mass movement (decadal)', 'Deaths - Wet mass movement (decadal)', \n 'Deaths - Fog (decadal)'\n ]\n \n # Create a new DataFrame with the aggregated results\n output = aggregated_data[['Year'] + death_columns]\n \n # Rename columns to be more descriptive\n output.columns = ['Decade'] + [col.replace('Deaths - ', '').replace(' (decadal)', '') for col in death_columns]\n \n return output\n\n```",
"group_id": "33063572-6e88-4912-8e2d-4166bcc8caee",
"group_name": "Analyze the dataset to observe the trend of deaths caused by different types of natural disasters over the past century. This involves aggregating the data by decade and calculating the total number of deaths for each type of disaster to identify any changes in trends.",
"stage": "Analyze"
},
{
"type": "TABLE",
"content": {
"url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/e24b6a5f-fdb8-48ca-ae35-dc91ac8e8ef7.csv",
"name": "trend_data.csv",
"expires_at": "2024-11-21T09:56:34.290544Z"
},
"group_id": "33063572-6e88-4912-8e2d-4166bcc8caee",
"group_name": "Analyze the dataset to observe the trend of deaths caused by different types of natural disasters over the past century. This involves aggregating the data by decade and calculating the total number of deaths for each type of disaster to identify any changes in trends.",
"stage": "Analyze"
},
{
"type": "IMAGE",
"content": {
"url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/81b75a33-a223-4954-9680-9f397872c8ad.png",
"name": "Trend of Deaths from Natural Disasters Over the Century",
"expires_at": "2024-11-21T09:56:34.290544Z"
},
"group_id": "7501680b-5879-441b-bd96-f58b1029ae17",
"group_name": "Visualize the trend data to show how the number of deaths from different types of natural disasters has changed over the past century. Use line charts to represent the trends for each disaster type, which will help in understanding the impact of measures and technological advancements on reducing deaths.",
"stage": "Analyze"
},
{
"type": "MESSAGE",
"content": "\n\n`Analyzing Conclusions` \n\n### Analysis of Trends in the Number of Deaths from Natural Disasters \n\n#### Data Analysis\n\n",
"group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
"group_name": "Conclusions",
"stage": "Respond"
},
{
"type": "TABLE",
"content": {
"url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/e24b6a5f-fdb8-48ca-ae35-dc91ac8e8ef7.csv",
"name": "trend_data.csv",
"expires_at": "2024-11-21T09:56:34.290544Z"
},
"group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
"group_name": "Conclusions",
"stage": "Respond"
},
{
"type": "MESSAGE",
"content": "\n\n- **Droughts and Floods**: In the early 20th century, droughts and floods caused extremely high death tolls, particularly during the 1920s and 1930s.\n- **Earthquakes and Extreme Weather**: Earthquakes and extreme weather also led to significant death tolls throughout the century, especially in the 1970s and 1990s.\n- **Extreme Temperatures and Volcanic Activity**: These disasters had relatively lower death tolls, but in certain decades, such as the 2000s, deaths caused by extreme temperatures increased.\n\n#### Trend Visualization\n\n",
"group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
"group_name": "Conclusions",
"stage": "Respond"
},
{
"type": "IMAGE",
"content": {
"url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/81b75a33-a223-4954-9680-9f397872c8ad.png",
"name": "Trend of Deaths from Natural Disasters Over the Century",
"expires_at": "2024-11-21T09:56:34.290544Z"
},
"group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
"group_name": "Conclusions",
"stage": "Respond"
},
{
"type": "MESSAGE",
"content": "\n\n- **Overall Trend**: The chart shows that although certain decades experienced spikes in death tolls caused by natural disasters, the overall trend is declining.\n- **Impact of Technology and Measures**: Over time, advancements in technology and the implementation of disaster prevention measures are likely key factors in reducing death tolls.\n\n#### Conclusions and Insights\n- **Technological Advancements**: Modern technological progress, such as improved early warning systems and better construction techniques, may have reduced the fatalities caused by earthquakes and extreme weather.\n- **Disaster Prevention Measures**: The enhancement of disaster prevention measures and emergency response capabilities on a global scale has likely contributed to the decreased fatality rates of natural disasters.",
"group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
"group_name": "Conclusions",
"stage": "Respond"
},
{
"type": "SOURCES",
"content": [
{
"source": "makeovermonday-a-century-of-global-deaths-from-disasters_decadal-deaths-disasters-type.csv",
"datasource_id": "clxin6l9200oo01l1457bolx3",
"dataset_id": "clxin6l8400ok01l1ff2m0s25",
"file_type": "csv"
}
],
"group_id": "",
"group_name": "",
"stage": "Respond"
},
{
"type": "QUESTIONS",
"content": [
"Analyze the trends in death tolls from different types of natural disasters over the past century and explore which disaster types have shown the most significant reduction in fatalities.",
"Study the technological advancements and measures in responding to natural disasters across different regions globally, and analyze how these differences have influenced changes in death tolls in each region.",
"Explore how future technological advancements and policy measures could further reduce fatalities caused by natural disasters, and assess their feasibility and potential impacts."
],
"group_id": "-1",
"stage": "Respond"
}
]
}
}{
"code": 210021,
"msg": "Job quota exceeded"
}{
"code": 1003,
"msg": "insufficient.authentication"
}{
"code": 210020,
"msg": "Something went wrong during job execution. Please try again."
}任务
Create job
分析或探索您的数据。您可以通过此接口根据您的数据进行提问，立即获取洞察。
在 Relyt AI 中，任务（Job） 即 Relyt AI 根据您的请求（例如提示词或其他工作流）而生成并执行的问答过程。
POST
/
v2
/
team
/
jobs
Create job
curl --request POST \
--url https://app.ai.relyt.cn/app/api/v2/team/jobs \
--header 'Content-Type: application/json' \
--header 'x-pd-api-key: <api-key>' \
--data '
{
"session_id": "cxxdgegeegeg3433fff",
"user_id": "tmm-dafasdfasdfasdf",
"stream": true,
"question": "Hello World",
"dataset_id": "cm1gjmg8e0057r3x22v1fdu8m",
"datasource_ids": [
"cm1gjmmoo0001h0x24uk1xgu9"
],
"output_language": "AUTO",
"job_mode": "AUTO"
}
'import requests
url = "https://app.ai.relyt.cn/app/api/v2/team/jobs"
payload = {
"session_id": "cxxdgegeegeg3433fff",
"user_id": "tmm-dafasdfasdfasdf",
"stream": True,
"question": "Hello World",
"dataset_id": "cm1gjmg8e0057r3x22v1fdu8m",
"datasource_ids": ["cm1gjmmoo0001h0x24uk1xgu9"],
"output_language": "AUTO",
"job_mode": "AUTO"
}
headers = {
"x-pd-api-key": "<api-key>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {'x-pd-api-key': '<api-key>', 'Content-Type': 'application/json'},
body: JSON.stringify({
session_id: 'cxxdgegeegeg3433fff',
user_id: 'tmm-dafasdfasdfasdf',
stream: true,
question: 'Hello World',
dataset_id: 'cm1gjmg8e0057r3x22v1fdu8m',
datasource_ids: ['cm1gjmmoo0001h0x24uk1xgu9'],
output_language: 'AUTO',
job_mode: 'AUTO'
})
};
fetch('https://app.ai.relyt.cn/app/api/v2/team/jobs', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://app.ai.relyt.cn/app/api/v2/team/jobs",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'session_id' => 'cxxdgegeegeg3433fff',
'user_id' => 'tmm-dafasdfasdfasdf',
'stream' => true,
'question' => 'Hello World',
'dataset_id' => 'cm1gjmg8e0057r3x22v1fdu8m',
'datasource_ids' => [
'cm1gjmmoo0001h0x24uk1xgu9'
],
'output_language' => 'AUTO',
'job_mode' => 'AUTO'
]),
CURLOPT_HTTPHEADER => [
"Content-Type: application/json",
"x-pd-api-key: <api-key>"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://app.ai.relyt.cn/app/api/v2/team/jobs"
payload := strings.NewReader("{\n \"session_id\": \"cxxdgegeegeg3433fff\",\n \"user_id\": \"tmm-dafasdfasdfasdf\",\n \"stream\": true,\n \"question\": \"Hello World\",\n \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n \"datasource_ids\": [\n \"cm1gjmmoo0001h0x24uk1xgu9\"\n ],\n \"output_language\": \"AUTO\",\n \"job_mode\": \"AUTO\"\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("x-pd-api-key", "<api-key>")
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))
}HttpResponse<String> response = Unirest.post("https://app.ai.relyt.cn/app/api/v2/team/jobs")
.header("x-pd-api-key", "<api-key>")
.header("Content-Type", "application/json")
.body("{\n \"session_id\": \"cxxdgegeegeg3433fff\",\n \"user_id\": \"tmm-dafasdfasdfasdf\",\n \"stream\": true,\n \"question\": \"Hello World\",\n \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n \"datasource_ids\": [\n \"cm1gjmmoo0001h0x24uk1xgu9\"\n ],\n \"output_language\": \"AUTO\",\n \"job_mode\": \"AUTO\"\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://app.ai.relyt.cn/app/api/v2/team/jobs")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["x-pd-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"session_id\": \"cxxdgegeegeg3433fff\",\n \"user_id\": \"tmm-dafasdfasdfasdf\",\n \"stream\": true,\n \"question\": \"Hello World\",\n \"dataset_id\": \"cm1gjmg8e0057r3x22v1fdu8m\",\n \"datasource_ids\": [\n \"cm1gjmmoo0001h0x24uk1xgu9\"\n ],\n \"output_language\": \"AUTO\",\n \"job_mode\": \"AUTO\"\n}"
response = http.request(request)
puts response.read_body{
"code": 0,
"data": {
"job_id": "job-cm3ikdeuj02zk01l1yeuirt77",
"blocks": [
{
"type": "CODE",
"content": "```python\n\nimport pandas as pd\n\ndef invoke(input_0: pd.DataFrame) -> pd.DataFrame:\n '''\n input_0: pd.DataFrame makeovermonday-a-century-of-global-deaths-from-disasters_decadal-deaths-disasters-type.csv\n '''\n # Group by 'Year' and sum the deaths for each type of disaster\n aggregated_data = input_0.groupby('Year').sum().reset_index()\n \n # Select only the columns related to deaths\n death_columns = [\n 'Deaths - Drought (decadal)', 'Deaths - Flood (decadal)', \n 'Deaths - Earthquake (decadal)', 'Deaths - Extreme weather (decadal)', \n 'Deaths - Extreme temperature (decadal)', 'Deaths - Volcanic activity (decadal)', \n 'Deaths - Wildfire (decadal)', 'Deaths - Glacial lake outburst flood (decadal)', \n 'Deaths - Dry mass movement (decadal)', 'Deaths - Wet mass movement (decadal)', \n 'Deaths - Fog (decadal)'\n ]\n \n # Create a new DataFrame with the aggregated results\n output = aggregated_data[['Year'] + death_columns]\n \n # Rename columns to be more descriptive\n output.columns = ['Decade'] + [col.replace('Deaths - ', '').replace(' (decadal)', '') for col in death_columns]\n \n return output\n\n```",
"group_id": "33063572-6e88-4912-8e2d-4166bcc8caee",
"group_name": "Analyze the dataset to observe the trend of deaths caused by different types of natural disasters over the past century. This involves aggregating the data by decade and calculating the total number of deaths for each type of disaster to identify any changes in trends.",
"stage": "Analyze"
},
{
"type": "TABLE",
"content": {
"url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/e24b6a5f-fdb8-48ca-ae35-dc91ac8e8ef7.csv",
"name": "trend_data.csv",
"expires_at": "2024-11-21T09:56:34.290544Z"
},
"group_id": "33063572-6e88-4912-8e2d-4166bcc8caee",
"group_name": "Analyze the dataset to observe the trend of deaths caused by different types of natural disasters over the past century. This involves aggregating the data by decade and calculating the total number of deaths for each type of disaster to identify any changes in trends.",
"stage": "Analyze"
},
{
"type": "IMAGE",
"content": {
"url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/81b75a33-a223-4954-9680-9f397872c8ad.png",
"name": "Trend of Deaths from Natural Disasters Over the Century",
"expires_at": "2024-11-21T09:56:34.290544Z"
},
"group_id": "7501680b-5879-441b-bd96-f58b1029ae17",
"group_name": "Visualize the trend data to show how the number of deaths from different types of natural disasters has changed over the past century. Use line charts to represent the trends for each disaster type, which will help in understanding the impact of measures and technological advancements on reducing deaths.",
"stage": "Analyze"
},
{
"type": "MESSAGE",
"content": "\n\n`Analyzing Conclusions` \n\n### Analysis of Trends in the Number of Deaths from Natural Disasters \n\n#### Data Analysis\n\n",
"group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
"group_name": "Conclusions",
"stage": "Respond"
},
{
"type": "TABLE",
"content": {
"url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/e24b6a5f-fdb8-48ca-ae35-dc91ac8e8ef7.csv",
"name": "trend_data.csv",
"expires_at": "2024-11-21T09:56:34.290544Z"
},
"group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
"group_name": "Conclusions",
"stage": "Respond"
},
{
"type": "MESSAGE",
"content": "\n\n- **Droughts and Floods**: In the early 20th century, droughts and floods caused extremely high death tolls, particularly during the 1920s and 1930s.\n- **Earthquakes and Extreme Weather**: Earthquakes and extreme weather also led to significant death tolls throughout the century, especially in the 1970s and 1990s.\n- **Extreme Temperatures and Volcanic Activity**: These disasters had relatively lower death tolls, but in certain decades, such as the 2000s, deaths caused by extreme temperatures increased.\n\n#### Trend Visualization\n\n",
"group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
"group_name": "Conclusions",
"stage": "Respond"
},
{
"type": "IMAGE",
"content": {
"url": "https://static.powerdrill.ai/tmp_datasource_cache/code_result/cm37bchx106e301l1v9yf67yc/81b75a33-a223-4954-9680-9f397872c8ad.png",
"name": "Trend of Deaths from Natural Disasters Over the Century",
"expires_at": "2024-11-21T09:56:34.290544Z"
},
"group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
"group_name": "Conclusions",
"stage": "Respond"
},
{
"type": "MESSAGE",
"content": "\n\n- **Overall Trend**: The chart shows that although certain decades experienced spikes in death tolls caused by natural disasters, the overall trend is declining.\n- **Impact of Technology and Measures**: Over time, advancements in technology and the implementation of disaster prevention measures are likely key factors in reducing death tolls.\n\n#### Conclusions and Insights\n- **Technological Advancements**: Modern technological progress, such as improved early warning systems and better construction techniques, may have reduced the fatalities caused by earthquakes and extreme weather.\n- **Disaster Prevention Measures**: The enhancement of disaster prevention measures and emergency response capabilities on a global scale has likely contributed to the decreased fatality rates of natural disasters.",
"group_id": "b842aca7-6fd5-4190-85fa-97085e473877",
"group_name": "Conclusions",
"stage": "Respond"
},
{
"type": "SOURCES",
"content": [
{
"source": "makeovermonday-a-century-of-global-deaths-from-disasters_decadal-deaths-disasters-type.csv",
"datasource_id": "clxin6l9200oo01l1457bolx3",
"dataset_id": "clxin6l8400ok01l1ff2m0s25",
"file_type": "csv"
}
],
"group_id": "",
"group_name": "",
"stage": "Respond"
},
{
"type": "QUESTIONS",
"content": [
"Analyze the trends in death tolls from different types of natural disasters over the past century and explore which disaster types have shown the most significant reduction in fatalities.",
"Study the technological advancements and measures in responding to natural disasters across different regions globally, and analyze how these differences have influenced changes in death tolls in each region.",
"Explore how future technological advancements and policy measures could further reduce fatalities caused by natural disasters, and assess their feasibility and potential impacts."
],
"group_id": "-1",
"stage": "Respond"
}
]
}
}{
"code": 210021,
"msg": "Job quota exceeded"
}{
"code": 1003,
"msg": "insufficient.authentication"
}{
"code": 210020,
"msg": "Something went wrong during job execution. Please try again."
}Authorizations
Headers
您本地系统中设置的 Trace ID，至多支持 128 个字符。当请求发生错误时，可以将此 ID 提供给 Relyt AI 团队，协助进行故障排查。
Body
application/json
会话 ID。
如需查看项目中存在的会话，请调用 GET /v2team/sessions 接口。
您的问题（即提示词）。
用户 ID，即您在组织中的唯一身份标识。
是否使用流式返回。如果设置为 true，Relyt AI 将实时向客户端发送回答更新，持续传输实时可用的数据。如果设置为 false，则在整个回答完成后，一次性返回完整的响应。
如不指定，则使用默认值 false。
关于如何理解流式返回的内容，请参考 流式返回中的内容说明。
任务关联的数据集 ID。
如需查询您有访问权限的数据集列表，请调用 GET /v2/team/datasets 接口。
指定在任务中使用的数据源的 ID。最多可以指定 1,000 个数据源。
Relyt AI 的回复语言。例如，当设置为 ZH-CN 时，则 Relyt AI 以简体中文回复。可选值包括：
AUTO：根据提示词自动识别EN：英语ES：西班牙语AR：阿拉伯语PT：葡萄牙语ID：印尼语JA：日语RU：俄语HI：印地语FR：法语DE：德语VI：越南语TR：土耳其语PL：波兰语IT：意大利语KO：韩语ZH-CN：简体中文ZH-TW：繁体中文
Available options:
AUTO, EN, ES, AR, PT, ID, JA, RU, HI, FR, DE, VI, TR, PL, IT, KO, ZH-CN, ZH-TW 任务类型。可选值包括：
AUTO：Relyt AI 根据你的提问进行意图判断，决定该任务为数据分析任务或信息检索任务。DATA_ANALYTICS：Relyt AI 会根据你的输入进行数据分析。
如不指定，则使用会话的 job_mode 设置。
Available options:
AUTO, DATA_ANALYTICS ⌘I