# For DeepEval / LangSmith integrations, prefer the dedicated helpers:
#   decimalai.push_deepeval_results(trace_id=..., results=...)
#   decimalai.push_langsmith_scores(trace_id=..., feedback=...)
# Generic custom scores:
import decimalai

decimalai.push_custom_scores(
    api_key="dai_sk_...",
    trace_id="trc_abc123",
    source="my-pipeline",
    scores=[
        {"name": "correctness", "score": 0.9},
        {"name": "faithfulness", "score": 0.85},
    ],
)

curl --request POST \
  --url https://api.decimal.ai/api/v1/traces/{trace_id}/eval-scores \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "source": "<string>",
  "scores": [
    {
      "name": "<string>",
      "score": 0.5,
      "passed": true,
      "reason": "<string>"
    }
  ],
  "metadata": {}
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    source: '<string>',
    scores: [{name: '<string>', score: 0.5, passed: true, reason: '<string>'}],
    metadata: {}
  })
};

fetch('https://api.decimal.ai/api/v1/traces/{trace_id}/eval-scores', 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.decimal.ai/api/v1/traces/{trace_id}/eval-scores",
  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([
    'source' => '<string>',
    'scores' => [
        [
                'name' => '<string>',
                'score' => 0.5,
                'passed' => true,
                'reason' => '<string>'
        ]
    ],
    'metadata' => [
        
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "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.decimal.ai/api/v1/traces/{trace_id}/eval-scores"

	payload := strings.NewReader("{\n  \"source\": \"<string>\",\n  \"scores\": [\n    {\n      \"name\": \"<string>\",\n      \"score\": 0.5,\n      \"passed\": true,\n      \"reason\": \"<string>\"\n    }\n  ],\n  \"metadata\": {}\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.decimal.ai/api/v1/traces/{trace_id}/eval-scores")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"source\": \"<string>\",\n  \"scores\": [\n    {\n      \"name\": \"<string>\",\n      \"score\": 0.5,\n      \"passed\": true,\n      \"reason\": \"<string>\"\n    }\n  ],\n  \"metadata\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.decimal.ai/api/v1/traces/{trace_id}/eval-scores")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"source\": \"<string>\",\n  \"scores\": [\n    {\n      \"name\": \"<string>\",\n      \"score\": 0.5,\n      \"passed\": true,\n      \"reason\": \"<string>\"\n    }\n  ],\n  \"metadata\": {}\n}"

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

{
  "trace_id": "trc_abc123",
  "source": "deepeval",
  "scores_stored": 2,
  "scores": [
    {
      "id": "es_001",
      "name": "correctness",
      "score": 0.9,
      "passed": true,
      "source": "deepeval",
      "category": "quality"
    },
    {
      "id": "es_002",
      "name": "faithfulness",
      "score": 0.85,
      "passed": true,
      "source": "deepeval",
      "category": "quality"
    }
  ]
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}