curl --request POST \
  --url https://api.galileo.ai/v2/projects/{project_id}/sessions/partial_search \
  --header 'Content-Type: application/json' \
  --header 'Splunk-AO-API-Key: <api-key>' \
  --data '
{
  "filters": [
    {
      "case_sensitive": true,
      "name": "input",
      "operator": "eq",
      "type": "text",
      "value": "example input"
    }
  ],
  "log_stream_id": "00000000-0000-0000-0000-000000000000",
  "pagination": {
    "limit": 5,
    "starting_token": 0
  },
  "select_columns": {
    "column_ids": [
      "id",
      "metrics/agentic_session_success",
      "metrics/completeness_gpt"
    ],
    "include_all_feedback": false,
    "include_all_metrics": false,
    "includes_metric_columns": true,
    "metric_columns_names": [
      "agentic_session_success",
      "completeness_gpt"
    ]
  },
  "sort": {
    "ascending": false,
    "name": "updated_at",
    "sort_type": "column"
  }
}
'

import requests

url = "https://api.galileo.ai/v2/projects/{project_id}/sessions/partial_search"

payload = {
    "filters": [
        {
            "case_sensitive": True,
            "name": "input",
            "operator": "eq",
            "type": "text",
            "value": "example input"
        }
    ],
    "log_stream_id": "00000000-0000-0000-0000-000000000000",
    "pagination": {
        "limit": 5,
        "starting_token": 0
    },
    "select_columns": {
        "column_ids": ["id", "metrics/agentic_session_success", "metrics/completeness_gpt"],
        "include_all_feedback": False,
        "include_all_metrics": False,
        "includes_metric_columns": True,
        "metric_columns_names": ["agentic_session_success", "completeness_gpt"]
    },
    "sort": {
        "ascending": False,
        "name": "updated_at",
        "sort_type": "column"
    }
}
headers = {
    "Splunk-AO-API-Key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'Splunk-AO-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    filters: [
      {
        case_sensitive: true,
        name: 'input',
        operator: 'eq',
        type: 'text',
        value: 'example input'
      }
    ],
    log_stream_id: '00000000-0000-0000-0000-000000000000',
    pagination: {limit: 5, starting_token: 0},
    select_columns: {
      column_ids: ['id', 'metrics/agentic_session_success', 'metrics/completeness_gpt'],
      include_all_feedback: false,
      include_all_metrics: false,
      includes_metric_columns: true,
      metric_columns_names: ['agentic_session_success', 'completeness_gpt']
    },
    sort: {ascending: false, name: 'updated_at', sort_type: 'column'}
  })
};

fetch('https://api.galileo.ai/v2/projects/{project_id}/sessions/partial_search', 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.galileo.ai/v2/projects/{project_id}/sessions/partial_search",
  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([
    'filters' => [
        [
                'case_sensitive' => true,
                'name' => 'input',
                'operator' => 'eq',
                'type' => 'text',
                'value' => 'example input'
        ]
    ],
    'log_stream_id' => '00000000-0000-0000-0000-000000000000',
    'pagination' => [
        'limit' => 5,
        'starting_token' => 0
    ],
    'select_columns' => [
        'column_ids' => [
                'id',
                'metrics/agentic_session_success',
                'metrics/completeness_gpt'
        ],
        'include_all_feedback' => false,
        'include_all_metrics' => false,
        'includes_metric_columns' => true,
        'metric_columns_names' => [
                'agentic_session_success',
                'completeness_gpt'
        ]
    ],
    'sort' => [
        'ascending' => false,
        'name' => 'updated_at',
        'sort_type' => 'column'
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "Splunk-AO-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://api.galileo.ai/v2/projects/{project_id}/sessions/partial_search"

	payload := strings.NewReader("{\n  \"filters\": [\n    {\n      \"case_sensitive\": true,\n      \"name\": \"input\",\n      \"operator\": \"eq\",\n      \"type\": \"text\",\n      \"value\": \"example input\"\n    }\n  ],\n  \"log_stream_id\": \"00000000-0000-0000-0000-000000000000\",\n  \"pagination\": {\n    \"limit\": 5,\n    \"starting_token\": 0\n  },\n  \"select_columns\": {\n    \"column_ids\": [\n      \"id\",\n      \"metrics/agentic_session_success\",\n      \"metrics/completeness_gpt\"\n    ],\n    \"include_all_feedback\": false,\n    \"include_all_metrics\": false,\n    \"includes_metric_columns\": true,\n    \"metric_columns_names\": [\n      \"agentic_session_success\",\n      \"completeness_gpt\"\n    ]\n  },\n  \"sort\": {\n    \"ascending\": false,\n    \"name\": \"updated_at\",\n    \"sort_type\": \"column\"\n  }\n}")

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

	req.Header.Add("Splunk-AO-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://api.galileo.ai/v2/projects/{project_id}/sessions/partial_search")
  .header("Splunk-AO-API-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"filters\": [\n    {\n      \"case_sensitive\": true,\n      \"name\": \"input\",\n      \"operator\": \"eq\",\n      \"type\": \"text\",\n      \"value\": \"example input\"\n    }\n  ],\n  \"log_stream_id\": \"00000000-0000-0000-0000-000000000000\",\n  \"pagination\": {\n    \"limit\": 5,\n    \"starting_token\": 0\n  },\n  \"select_columns\": {\n    \"column_ids\": [\n      \"id\",\n      \"metrics/agentic_session_success\",\n      \"metrics/completeness_gpt\"\n    ],\n    \"include_all_feedback\": false,\n    \"include_all_metrics\": false,\n    \"includes_metric_columns\": true,\n    \"metric_columns_names\": [\n      \"agentic_session_success\",\n      \"completeness_gpt\"\n    ]\n  },\n  \"sort\": {\n    \"ascending\": false,\n    \"name\": \"updated_at\",\n    \"sort_type\": \"column\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.galileo.ai/v2/projects/{project_id}/sessions/partial_search")

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

request = Net::HTTP::Post.new(url)
request["Splunk-AO-API-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"filters\": [\n    {\n      \"case_sensitive\": true,\n      \"name\": \"input\",\n      \"operator\": \"eq\",\n      \"type\": \"text\",\n      \"value\": \"example input\"\n    }\n  ],\n  \"log_stream_id\": \"00000000-0000-0000-0000-000000000000\",\n  \"pagination\": {\n    \"limit\": 5,\n    \"starting_token\": 0\n  },\n  \"select_columns\": {\n    \"column_ids\": [\n      \"id\",\n      \"metrics/agentic_session_success\",\n      \"metrics/completeness_gpt\"\n    ],\n    \"include_all_feedback\": false,\n    \"include_all_metrics\": false,\n    \"includes_metric_columns\": true,\n    \"metric_columns_names\": [\n      \"agentic_session_success\",\n      \"completeness_gpt\"\n    ]\n  },\n  \"sort\": {\n    \"ascending\": false,\n    \"name\": \"updated_at\",\n    \"sort_type\": \"column\"\n  }\n}"

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

{
  "next_starting_token": 2,
  "num_rows": 2,
  "paginated": true,
  "records": [
    {
      "annotation_aggregates": {},
      "annotation_agreement": {},
      "annotation_queue_ids": [],
      "annotations": {},
      "created_at": "2026-10-29T16:41:49.192081Z",
      "dataset_metadata": {},
      "error_message": "",
      "feedback_rating_info": {},
      "file_ids": [],
      "file_modalities": [],
      "id": "1a0939d1-8b43-4fe3-a91c-196e2d9847e3",
      "input": "Who is a smart LLM?",
      "is_complete": true,
      "metrics": {},
      "name": "",
      "progress_message": "",
      "tags": [],
      "type": "trace",
      "user_metadata": {}
    },
    {
      "annotation_aggregates": {},
      "annotation_agreement": {},
      "annotation_queue_ids": [],
      "annotations": {},
      "created_at": "2026-10-29T16:41:49.192195Z",
      "dataset_metadata": {},
      "error_message": "",
      "feedback_rating_info": {},
      "file_ids": [],
      "file_modalities": [],
      "id": "1edc2401-24b4-448c-a392-b36932293061",
      "input": [
        {
          "content": "Who is a smart LLM?",
          "role": "user"
        }
      ],
      "is_complete": true,
      "metrics": {},
      "name": "",
      "output": {
        "content": "",
        "role": "assistant"
      },
      "progress_message": "",
      "tags": [],
      "type": "llm",
      "user_metadata": {}
    }
  ]
}

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