予測の作成
curl --request POST \
--url https://api.example.com/v2/{entity}/{project}/predictions \
--header 'Authorization: Basic <encoded-value>' \
--header 'Content-Type: application/json' \
--data '
{
"inputs": {},
"model": "<string>",
"output": "<unknown>",
"evaluation_run_id": "<string>",
"genai_span_ref": [
{
"span_id": "<string>",
"trace_id": "<string>"
}
]
}
'import requests
url = "https://api.example.com/v2/{entity}/{project}/predictions"
payload = {
"inputs": {},
"model": "<string>",
"output": "<unknown>",
"evaluation_run_id": "<string>",
"genai_span_ref": [
{
"span_id": "<string>",
"trace_id": "<string>"
}
]
}
headers = {
"Authorization": "Basic <encoded-value>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Basic <encoded-value>', 'Content-Type': 'application/json'},
body: JSON.stringify({
inputs: {},
model: '<string>',
output: '<unknown>',
evaluation_run_id: '<string>',
genai_span_ref: [{span_id: '<string>', trace_id: '<string>'}]
})
};
fetch('https://api.example.com/v2/{entity}/{project}/predictions', 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://api.example.com/v2/{entity}/{project}/predictions",
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([
'inputs' => [
],
'model' => '<string>',
'output' => '<unknown>',
'evaluation_run_id' => '<string>',
'genai_span_ref' => [
[
'span_id' => '<string>',
'trace_id' => '<string>'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Basic <encoded-value>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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://api.example.com/v2/{entity}/{project}/predictions"
payload := strings.NewReader("{\n \"inputs\": {},\n \"model\": \"<string>\",\n \"output\": \"<unknown>\",\n \"evaluation_run_id\": \"<string>\",\n \"genai_span_ref\": [\n {\n \"span_id\": \"<string>\",\n \"trace_id\": \"<string>\"\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Basic <encoded-value>")
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://api.example.com/v2/{entity}/{project}/predictions")
.header("Authorization", "Basic <encoded-value>")
.header("Content-Type", "application/json")
.body("{\n \"inputs\": {},\n \"model\": \"<string>\",\n \"output\": \"<unknown>\",\n \"evaluation_run_id\": \"<string>\",\n \"genai_span_ref\": [\n {\n \"span_id\": \"<string>\",\n \"trace_id\": \"<string>\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/v2/{entity}/{project}/predictions")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Basic <encoded-value>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"inputs\": {},\n \"model\": \"<string>\",\n \"output\": \"<unknown>\",\n \"evaluation_run_id\": \"<string>\",\n \"genai_span_ref\": [\n {\n \"span_id\": \"<string>\",\n \"trace_id\": \"<string>\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"prediction_id": "<string>"
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}予測を作成します。
POST
/
v2
/
{entity}
/
{project}
/
predictions
予測の作成
curl --request POST \
--url https://api.example.com/v2/{entity}/{project}/predictions \
--header 'Authorization: Basic <encoded-value>' \
--header 'Content-Type: application/json' \
--data '
{
"inputs": {},
"model": "<string>",
"output": "<unknown>",
"evaluation_run_id": "<string>",
"genai_span_ref": [
{
"span_id": "<string>",
"trace_id": "<string>"
}
]
}
'import requests
url = "https://api.example.com/v2/{entity}/{project}/predictions"
payload = {
"inputs": {},
"model": "<string>",
"output": "<unknown>",
"evaluation_run_id": "<string>",
"genai_span_ref": [
{
"span_id": "<string>",
"trace_id": "<string>"
}
]
}
headers = {
"Authorization": "Basic <encoded-value>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Basic <encoded-value>', 'Content-Type': 'application/json'},
body: JSON.stringify({
inputs: {},
model: '<string>',
output: '<unknown>',
evaluation_run_id: '<string>',
genai_span_ref: [{span_id: '<string>', trace_id: '<string>'}]
})
};
fetch('https://api.example.com/v2/{entity}/{project}/predictions', 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://api.example.com/v2/{entity}/{project}/predictions",
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([
'inputs' => [
],
'model' => '<string>',
'output' => '<unknown>',
'evaluation_run_id' => '<string>',
'genai_span_ref' => [
[
'span_id' => '<string>',
'trace_id' => '<string>'
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Basic <encoded-value>",
"Content-Type: application/json"
],
]);
$response = curl_exec($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://api.example.com/v2/{entity}/{project}/predictions"
payload := strings.NewReader("{\n \"inputs\": {},\n \"model\": \"<string>\",\n \"output\": \"<unknown>\",\n \"evaluation_run_id\": \"<string>\",\n \"genai_span_ref\": [\n {\n \"span_id\": \"<string>\",\n \"trace_id\": \"<string>\"\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Basic <encoded-value>")
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://api.example.com/v2/{entity}/{project}/predictions")
.header("Authorization", "Basic <encoded-value>")
.header("Content-Type", "application/json")
.body("{\n \"inputs\": {},\n \"model\": \"<string>\",\n \"output\": \"<unknown>\",\n \"evaluation_run_id\": \"<string>\",\n \"genai_span_ref\": [\n {\n \"span_id\": \"<string>\",\n \"trace_id\": \"<string>\"\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.example.com/v2/{entity}/{project}/predictions")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Basic <encoded-value>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"inputs\": {},\n \"model\": \"<string>\",\n \"output\": \"<unknown>\",\n \"evaluation_run_id\": \"<string>\",\n \"genai_span_ref\": [\n {\n \"span_id\": \"<string>\",\n \"trace_id\": \"<string>\"\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"prediction_id": "<string>"
}{
"detail": [
{
"loc": [
"<string>"
],
"msg": "<string>",
"type": "<string>"
}
]
}承認
HTTPBasicHTTPBearer
Basic authentication header of the form Basic <encoded-value>, where <encoded-value> is the base64-encoded string username:password.
ボディ
application/json
REST API 経由で予測を作成するためのリクエストボディ。
このモデルには project_id は含まれません。RESTful endpoints の URL パスから取得されるためです。
レスポンス
正常なレスポンス
予測 ID
⌘I