> 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/alerts/test-webhook/llms.txt. # Test alert webhook POST http://localhost:5173/api/v1/private/alerts/webhooks/tests Content-Type: application/json Test alert webhook Reference: https://www.comet.com/docs/opik/reference/rest-api/alerts/test-webhook ## Servers - `http://localhost:5173/api` (Local server, default) - `https://www.comet.com/opik/api` (Opik Cloud) ## Request ### Body (application/json) This endpoint expects an Alert_Write. - `webhook` (Webhook_Write, required) - `id` (string, optional) - `name` (string, optional) - `enabled` (boolean, optional) - `alert_type` (enum, optional) - Allowed values: `general`, `slack`, `pagerduty` - `metadata` (map from string to string, optional) - `triggers` (list of AlertTrigger_Write, optional) - `project_id` (string, optional) — Optional project scope for this alert. When set, the alert is scoped to the specified project. Do NOT also provide a 'scope:project' trigger config — the system will create it automatically from this field. Sending both project_id and a scope:project trigger config will result in an error. ## Response ### 200 Webhook test - `status` (enum, optional) - Allowed values: `success`, `failure` - `status_code` (integer, optional) - `request_body` (string, optional) - `error_message` (string, optional) ## Errors ### 422 Unprocessable Entity Error Unprocessable Content - `code` (integer, optional) - `message` (string, optional) - `details` (string, optional) ## Types ### Webhook_Write - `url` (string, required) - `id` (string, optional) - `name` (string, optional) - `secret_token` (string, optional) - `headers` (map from string to string, optional) ### AlertTrigger_Write - `event_type` (enum, required) - Allowed values: `trace:errors`, `trace:feedback_score`, `trace_thread:feedback_score`, `prompt:created`, `prompt:committed`, `trace:guardrails_triggered`, `prompt:deleted`, `experiment:finished`, `trace:cost`, `trace:latency` - `id` (string, optional) - `trigger_configs` (list of AlertTriggerConfig_Write, optional) ### AlertTriggerConfig_Write - `type` (enum, required) - Allowed values: `scope:project`, `threshold:feedback_score`, `threshold:cost`, `threshold:latency`, `threshold:errors`, `filter:guardrail_type` - `id` (string, optional) - `config_value` (map from string to string, optional) - `group_index` (integer, optional) — Groups configs within a trigger: same group_index means AND between configs, different group_index means OR between groups. Null means a legacy/singleton group of one config. Always null for scope:project configs. ## Examples **Request** ```json { "webhook": { "url": "string" } } ``` **Response** ```json { "status": "success", "status_code": 1, "request_body": "string", "error_message": "string" } ``` **SDK Code** ```python import requests url = "http://localhost:5173/api/v1/private/alerts/webhooks/tests" payload = { "webhook": { "url": "string" } } headers = {"Content-Type": "application/json"} response = requests.post(url, json=payload, headers=headers) print(response.json()) ``` ```javascript const url = 'http://localhost:5173/api/v1/private/alerts/webhooks/tests'; const options = { method: 'POST', headers: {'Content-Type': 'application/json'}, body: '{"webhook":{"url":"string"}}' }; 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/alerts/webhooks/tests" payload := strings.NewReader("{\n \"webhook\": {\n \"url\": \"string\"\n }\n}") req, _ := http.NewRequest("POST", 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/alerts/webhooks/tests") http = Net::HTTP.new(url.host, url.port) request = Net::HTTP::Post.new(url) request["Content-Type"] = 'application/json' request.body = "{\n \"webhook\": {\n \"url\": \"string\"\n }\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.post("http://localhost:5173/api/v1/private/alerts/webhooks/tests") .header("Content-Type", "application/json") .body("{\n \"webhook\": {\n \"url\": \"string\"\n }\n}") .asString(); ``` ```php request('POST', 'http://localhost:5173/api/v1/private/alerts/webhooks/tests', [ 'body' => '{ "webhook": { "url": "string" } }', 'headers' => [ 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp using RestSharp; var client = new RestClient("http://localhost:5173/api/v1/private/alerts/webhooks/tests"); var request = new RestRequest(Method.POST); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"webhook\": {\n \"url\": \"string\"\n }\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift import Foundation let headers = ["Content-Type": "application/json"] let parameters = ["webhook": ["url": "string"]] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "http://localhost:5173/api/v1/private/alerts/webhooks/tests")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" 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.