> For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://www.comet.com/docs/opik/reference/rest-api/spans/add-span-feedback-score/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://www.comet.com/_mcp/server. # Add span feedback score PUT http://localhost:5173/api/v1/private/spans/{id}/feedback-scores Content-Type: application/json Add span feedback score Reference: https://www.comet.com/docs/opik/reference/rest-api/spans/add-span-feedback-score ## Servers - `http://localhost:5173/api` (Local server, default) - `https://www.comet.com/opik/api` (Opik Cloud) ## Request ### Path parameters - `id` (string, required) ### Body (application/json) This endpoint expects a FeedbackScore. - `name` (string, required) - `value` (double, required) - `source` (enum, required) - Allowed values: `ui`, `sdk`, `online_scoring` - `category_name` (string, optional) - `reason` (string, optional) - `source_queue_id` (string, optional) - `created_at` (datetime, optional) - `last_updated_at` (datetime, optional) - `created_by` (string, optional) - `last_updated_by` (string, optional) - `value_by_author` (map from string to ValueEntry, optional) ## Response ### 204 No Content ## Types ### ValueEntry - `value` (double, optional) - `reason` (string, optional) - `category_name` (string, optional) - `source` (enum, optional) - Allowed values: `ui`, `sdk`, `online_scoring` - `last_updated_at` (datetime, optional) - `span_type` (string, optional) - `span_id` (string, optional) - `source_queue_id` (string, optional) - `author` (string, optional) ## Examples **Request** ```json { "name": "string", "value": 1.1, "source": "ui" } ``` **SDK Code** ```python import requests url = "http://localhost:5173/api/v1/private/spans/id/feedback-scores" payload = { "name": "string", "value": 1.1, "source": "ui" } headers = {"Content-Type": "application/json"} response = requests.put(url, json=payload, headers=headers) print(response.json()) ``` ```javascript const url = 'http://localhost:5173/api/v1/private/spans/id/feedback-scores'; const options = { method: 'PUT', headers: {'Content-Type': 'application/json'}, body: '{"name":"string","value":1.1,"source":"ui"}' }; try { const response = await fetch(url, options); const data = await response.json(); console.log(data); } catch (error) { console.error(error); } ``` ```go package main import ( "fmt" "strings" "net/http" "io" ) func main() { url := "http://localhost:5173/api/v1/private/spans/id/feedback-scores" payload := strings.NewReader("{\n \"name\": \"string\",\n \"value\": 1.1,\n \"source\": \"ui\"\n}") req, _ := http.NewRequest("PUT", url, payload) req.Header.Add("Content-Type", "application/json") res, _ := http.DefaultClient.Do(req) defer res.Body.Close() body, _ := io.ReadAll(res.Body) fmt.Println(res) fmt.Println(string(body)) } ``` ```ruby require 'uri' require 'net/http' url = URI("http://localhost:5173/api/v1/private/spans/id/feedback-scores") http = Net::HTTP.new(url.host, url.port) request = Net::HTTP::Put.new(url) request["Content-Type"] = 'application/json' request.body = "{\n \"name\": \"string\",\n \"value\": 1.1,\n \"source\": \"ui\"\n}" response = http.request(request) puts response.read_body ``` ```java import com.mashape.unirest.http.HttpResponse; import com.mashape.unirest.http.Unirest; HttpResponse response = Unirest.put("http://localhost:5173/api/v1/private/spans/id/feedback-scores") .header("Content-Type", "application/json") .body("{\n \"name\": \"string\",\n \"value\": 1.1,\n \"source\": \"ui\"\n}") .asString(); ``` ```php request('PUT', 'http://localhost:5173/api/v1/private/spans/id/feedback-scores', [ 'body' => '{ "name": "string", "value": 1.1, "source": "ui" }', 'headers' => [ 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp using RestSharp; var client = new RestClient("http://localhost:5173/api/v1/private/spans/id/feedback-scores"); var request = new RestRequest(Method.PUT); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"name\": \"string\",\n \"value\": 1.1,\n \"source\": \"ui\"\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift import Foundation let headers = ["Content-Type": "application/json"] let parameters = [ "name": "string", "value": 1.1, "source": "ui" ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "http://localhost:5173/api/v1/private/spans/id/feedback-scores")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "PUT" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ``` > Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.