> 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/automation-rule-evaluators/create-automation-rule-evaluator/llms.txt. # Create automation rule evaluator POST http://localhost:5173/api/v1/private/automations/evaluators Content-Type: application/json Create automation rule evaluator Reference: https://www.comet.com/docs/opik/reference/rest-api/automation-rule-evaluators/create-automation-rule-evaluator ## Servers - `http://localhost:5173/api` (Local server, default) - `https://www.comet.com/opik/api` (Opik Cloud) ## Request ### Body (application/json) This endpoint expects an AutomationRuleEvaluator_Write. - `AutomationRuleEvaluator_Write` - `type`: `llm_as_judge` (llm_as_judge) - `action` (enum, required) - Allowed values: `evaluator`, `annotation_queue_router` - `code` (LlmAsJudgeCode_Write, required) - `name` (string, required) - `enabled` (boolean, optional) - `filters` (list of TraceFilter_Write, optional) - `project_id` (string, optional) — Primary project ID (legacy field for backwards compatibility) - `project_ids` (list of string, optional) — Project IDs for write operations (used when creating/updating rules) - `sampling_rate` (float, optional) — Fraction of production (SDK-logged) items this rule scores, from 0 to 1. Trace rules ignore this value for experiment, playground and optimization traces and score them in full; span and thread rules only ever evaluate SDK-logged data. - `trigger_scope` (enum, optional) — Controls whether the rule fires on production traces, experiment traces, or both. Defaults to 'production' if omitted. - Allowed values: `production`, `experiment`, `both` - `type`: `user_defined_metric_python` (user_defined_metric_python) - `action` (enum, required) - Allowed values: `evaluator`, `annotation_queue_router` - `code` (UserDefinedMetricPythonCode_Write, required) - `name` (string, required) - `enabled` (boolean, optional) - `filters` (list of TraceFilter_Write, optional) - `project_id` (string, optional) — Primary project ID (legacy field for backwards compatibility) - `project_ids` (list of string, optional) — Project IDs for write operations (used when creating/updating rules) - `sampling_rate` (float, optional) — Fraction of production (SDK-logged) items this rule scores, from 0 to 1. Trace rules ignore this value for experiment, playground and optimization traces and score them in full; span and thread rules only ever evaluate SDK-logged data. - `trigger_scope` (enum, optional) — Controls whether the rule fires on production traces, experiment traces, or both. Defaults to 'production' if omitted. - Allowed values: `production`, `experiment`, `both` - `type`: `trace_thread_llm_as_judge` (trace_thread_llm_as_judge) - `action` (enum, required) - Allowed values: `evaluator`, `annotation_queue_router` - `code` (TraceThreadLlmAsJudgeCode_Write, required) - `name` (string, required) - `enabled` (boolean, optional) - `filters` (list of TraceThreadFilter_Write, optional) - `project_id` (string, optional) — Primary project ID (legacy field for backwards compatibility) - `project_ids` (list of string, optional) — Project IDs for write operations (used when creating/updating rules) - `sampling_rate` (float, optional) — Fraction of production (SDK-logged) items this rule scores, from 0 to 1. Trace rules ignore this value for experiment, playground and optimization traces and score them in full; span and thread rules only ever evaluate SDK-logged data. - `trigger_scope` (enum, optional) — Controls whether the rule fires on production traces, experiment traces, or both. Defaults to 'production' if omitted. - Allowed values: `production`, `experiment`, `both` - `type`: `trace_thread_user_defined_metric_python` (trace_thread_user_defined_metric_python) - `action` (enum, required) - Allowed values: `evaluator`, `annotation_queue_router` - `code` (TraceThreadUserDefinedMetricPythonCode_Write, required) - `name` (string, required) - `enabled` (boolean, optional) - `filters` (list of TraceThreadFilter_Write, optional) - `project_id` (string, optional) — Primary project ID (legacy field for backwards compatibility) - `project_ids` (list of string, optional) — Project IDs for write operations (used when creating/updating rules) - `sampling_rate` (float, optional) — Fraction of production (SDK-logged) items this rule scores, from 0 to 1. Trace rules ignore this value for experiment, playground and optimization traces and score them in full; span and thread rules only ever evaluate SDK-logged data. - `trigger_scope` (enum, optional) — Controls whether the rule fires on production traces, experiment traces, or both. Defaults to 'production' if omitted. - Allowed values: `production`, `experiment`, `both` - `type`: `span_llm_as_judge` (span_llm_as_judge) - `action` (enum, required) - Allowed values: `evaluator`, `annotation_queue_router` - `code` (SpanLlmAsJudgeCode_Write, required) - `name` (string, required) - `enabled` (boolean, optional) - `filters` (list of SpanFilter_Write, optional) - `project_id` (string, optional) — Primary project ID (legacy field for backwards compatibility) - `project_ids` (list of string, optional) — Project IDs for write operations (used when creating/updating rules) - `sampling_rate` (float, optional) — Fraction of production (SDK-logged) items this rule scores, from 0 to 1. Trace rules ignore this value for experiment, playground and optimization traces and score them in full; span and thread rules only ever evaluate SDK-logged data. - `trigger_scope` (enum, optional) — Controls whether the rule fires on production traces, experiment traces, or both. Defaults to 'production' if omitted. - Allowed values: `production`, `experiment`, `both` - `type`: `span_user_defined_metric_python` (span_user_defined_metric_python) - `action` (enum, required) - Allowed values: `evaluator`, `annotation_queue_router` - `code` (SpanUserDefinedMetricPythonCode_Write, required) - `name` (string, required) - `enabled` (boolean, optional) - `filters` (list of SpanFilter_Write, optional) - `project_id` (string, optional) — Primary project ID (legacy field for backwards compatibility) - `project_ids` (list of string, optional) — Project IDs for write operations (used when creating/updating rules) - `sampling_rate` (float, optional) — Fraction of production (SDK-logged) items this rule scores, from 0 to 1. Trace rules ignore this value for experiment, playground and optimization traces and score them in full; span and thread rules only ever evaluate SDK-logged data. - `trigger_scope` (enum, optional) — Controls whether the rule fires on production traces, experiment traces, or both. Defaults to 'production' if omitted. - Allowed values: `production`, `experiment`, `both` ## Response ### 201 Created ## Types ### LlmAsJudgeCode_Write - `model` (LlmAsJudgeModelParameters_Write, required) - `messages` (list of LlmAsJudgeMessage_Write, required) - `variables` (map from string to string, required) - `schema` (list of LlmAsJudgeOutputSchema_Write, required) - `max_cost_usd` (double, optional) ### TraceFilter_Write - `field` (string, optional) - `operator` (enum, optional) - Allowed values: `contains`, `not_contains`, `starts_with`, `ends_with`, `=`, `!=`, `>`, `>=`, `<`, `<=`, `is_empty`, `is_not_empty`, `in`, `not_in` - `key` (string, optional) - `value` (string, optional) ### UserDefinedMetricPythonCode_Write - `metric` (string, required) - `arguments` (map from string to string, required) ### TraceThreadLlmAsJudgeCode_Write - `model` (LlmAsJudgeModelParameters_Write, required) - `messages` (list of LlmAsJudgeMessage_Write, required) - `schema` (list of LlmAsJudgeOutputSchema_Write, required) - `max_cost_usd` (double, optional) ### TraceThreadFilter_Write - `field` (string, optional) - `operator` (enum, optional) - Allowed values: `contains`, `not_contains`, `starts_with`, `ends_with`, `=`, `!=`, `>`, `>=`, `<`, `<=`, `is_empty`, `is_not_empty`, `in`, `not_in` - `key` (string, optional) - `value` (string, optional) ### TraceThreadUserDefinedMetricPythonCode_Write - `metric` (string, required) ### SpanLlmAsJudgeCode_Write - `model` (LlmAsJudgeModelParameters_Write, required) - `messages` (list of LlmAsJudgeMessage_Write, required) - `variables` (map from string to string, required) - `schema` (list of LlmAsJudgeOutputSchema_Write, required) ### SpanFilter_Write - `field` (string, optional) - `operator` (enum, optional) - Allowed values: `contains`, `not_contains`, `starts_with`, `ends_with`, `=`, `!=`, `>`, `>=`, `<`, `<=`, `is_empty`, `is_not_empty`, `in`, `not_in` - `key` (string, optional) - `value` (string, optional) ### SpanUserDefinedMetricPythonCode_Write - `metric` (string, required) - `arguments` (map from string to string, required) ### LlmAsJudgeModelParameters_Write - `name` (string, required) - `temperature` (double, optional) - `seed` (integer, optional) - `custom_parameters` (JsonNode_Write, optional) ### LlmAsJudgeMessage_Write - `role` (enum, required) - Allowed values: `SYSTEM`, `USER`, `AI`, `TOOL_EXECUTION_RESULT`, `CUSTOM` - `content` (string, optional) - `content_array` (list of LlmAsJudgeMessageContent_Write, optional) - `string_content` (boolean, optional) - `structured_content` (boolean, optional) ### LlmAsJudgeOutputSchema_Write - `name` (string, required) - `type` (enum, required) - Allowed values: `BOOLEAN`, `INTEGER`, `DOUBLE` - `description` (string, required) ### JsonNode_Write ### LlmAsJudgeMessageContent_Write - `type` (string, required) - `text` (string, optional) - `image_url` (ImageUrl_Write, optional) - `video_url` (VideoUrl_Write, optional) - `audio_url` (AudioUrl_Write, optional) ### ImageUrl_Write - `url` (string, required) - `detail` (string, optional) ### VideoUrl_Write - `url` (string, required) ### AudioUrl_Write - `url` (string, required) ## Examples **Request** ```json { "type": "llm_as_judge", "action": "evaluator", "name": "string" } ``` **Response** ```json {} ``` **SDK Code** ```python import requests url = "http://localhost:5173/api/v1/private/automations/evaluators" payload = { "type": "llm_as_judge", "action": "evaluator", "name": "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/automations/evaluators'; const options = { method: 'POST', headers: {'Content-Type': 'application/json'}, body: '{"type":"llm_as_judge","action":"evaluator","name":"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/automations/evaluators" payload := strings.NewReader("{\n \"type\": \"llm_as_judge\",\n \"action\": \"evaluator\",\n \"name\": \"string\"\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/automations/evaluators") http = Net::HTTP.new(url.host, url.port) request = Net::HTTP::Post.new(url) request["Content-Type"] = 'application/json' request.body = "{\n \"type\": \"llm_as_judge\",\n \"action\": \"evaluator\",\n \"name\": \"string\"\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/automations/evaluators") .header("Content-Type", "application/json") .body("{\n \"type\": \"llm_as_judge\",\n \"action\": \"evaluator\",\n \"name\": \"string\"\n}") .asString(); ``` ```php request('POST', 'http://localhost:5173/api/v1/private/automations/evaluators', [ 'body' => '{ "type": "llm_as_judge", "action": "evaluator", "name": "string" }', 'headers' => [ 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp using RestSharp; var client = new RestClient("http://localhost:5173/api/v1/private/automations/evaluators"); var request = new RestRequest(Method.POST); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"type\": \"llm_as_judge\",\n \"action\": \"evaluator\",\n \"name\": \"string\"\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift import Foundation let headers = ["Content-Type": "application/json"] let parameters = [ "type": "llm_as_judge", "action": "evaluator", "name": "string" ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "http://localhost:5173/api/v1/private/automations/evaluators")! 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.