--- title: Create an AI memory violation result description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > API Reference > Static Analysis --- > For the complete documentation index, see [llms.txt](https://docs.datadoghq.com/llms.txt). # Create an AI memory violation result{% #create-an-ai-memory-violation-result %} Copy pageCopied {% tab title="v2" %} **Note**: This endpoint is in preview and is subject to change. If you have any feedback, contact [Datadog support](https://docs.datadoghq.com/help/). | Datadog site | API endpoint | | ----------------- | ------------------------------------------------------------------- | | ap1.datadoghq.com | POST https://api.ap1.datadoghq.com/api/v2/static-analysis/ai/memory | | ap2.datadoghq.com | POST https://api.ap2.datadoghq.com/api/v2/static-analysis/ai/memory | | app.datadoghq.eu | POST https://api.datadoghq.eu/api/v2/static-analysis/ai/memory | | app.ddog-gov.com | POST https://api.ddog-gov.com/api/v2/static-analysis/ai/memory | | us2.ddog-gov.com | POST https://api.us2.ddog-gov.com/api/v2/static-analysis/ai/memory | | uk1.datadoghq.com | POST https://api.uk1.datadoghq.com/api/v2/static-analysis/ai/memory | | app.datadoghq.com | POST https://api.datadoghq.com/api/v2/static-analysis/ai/memory | | us3.datadoghq.com | POST https://api.us3.datadoghq.com/api/v2/static-analysis/ai/memory | | us5.datadoghq.com | POST https://api.us5.datadoghq.com/api/v2/static-analysis/ai/memory | ### Overview Add a new AI memory violation result for the authenticated organization. ### Request #### Body Data (required) {% tab title="Model" %} | Parent field | Field | Type | Description | | ------------ | ------------------------------- | ------ | ------------------------------------------------------------------------------------------------------------------------------- | | | data | object | Request data for creating an AI memory violation result. | | data | attributes | object | Attributes for creating an AI memory violation result. | | attributes | line [*required*] | int64 | The line number where the violation was found. | | attributes | message [*required*] | string | A message explaining the violation result. | | attributes | name [*required*] | string | The file path where the violation was found. | | attributes | repository_id [*required*] | string | The repository identifier. | | attributes | rule [*required*] | string | The rule identifier in the format ruleset/rule. | | attributes | sha [*required*] | string | The git commit SHA where the violation was found. | | attributes | type [*required*] | enum | The type of AI memory violation result indicating whether it is a true positive or false positive. Allowed enum values: `TP,FP` | | data | id | string | The violation result identifier. | | data | type | enum | AI memory violation result resource type. Allowed enum values: `ai_memory_violation_result` | {% /tab %} {% tab title="Example" %} ```json { "data": { "attributes": { "line": 10, "message": "This is a false positive because the input is sanitized.", "name": "src/main.py", "repository_id": "my-repo", "rule": "my-ai-ruleset/my-ai-rule", "sha": "abc123def456789012345678901234567890abcd", "type": "FP" }, "id": "violation-abc", "type": "ai_memory_violation_result" } } ``` {% /tab %} ### Response {% tab title="200" %} Successfully created {% /tab %} {% tab title="400" %} Bad Request {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="401" %} Unauthorized {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="404" %} Not Found {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} {% tab title="429" %} Too many requests {% tab title="Model" %} API error response. | Field | Type | Description | | ------------------------ | -------- | ----------------- | | errors [*required*] | [string] | A list of errors. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ "Bad Request" ] } ``` {% /tab %} {% /tab %} {% tab title="500" %} Internal Server Error {% tab title="Model" %} API error response. | Parent field | Field | Type | Description | | ------------ | ------------------------ | -------- | ------------------------------------------------------------------------------- | | | errors [*required*] | [object] | A list of errors. | | errors | detail | string | A human-readable explanation specific to this occurrence of the error. | | errors | meta | object | Non-standard meta-information about the error | | errors | source | object | References to the source of the error. | | source | header | string | A string indicating the name of a single request header which caused the error. | | source | parameter | string | A string indicating which URI query parameter caused the error. | | source | pointer | string | A JSON pointer to the value in the request document that caused the error. | | errors | status | string | Status code of the response. | | errors | title | string | Short human-readable summary of the error. | {% /tab %} {% tab title="Example" %} ```json { "errors": [ { "detail": "Missing required attribute in body", "meta": {}, "source": { "header": "Authorization", "parameter": "limit", "pointer": "/data/attributes/title" }, "status": "400", "title": "Bad Request" } ] } ``` {% /tab %} {% /tab %} ### Code Example ##### \## default # \# Curl command curl -X POST "https://api.datadoghq.com/api/v2/static-analysis/ai/memory" \ -H "Accept: application/json" \ -H "Content-Type: application/json" \ -H "DD-API-KEY: ${DD_API_KEY}" \ -H "DD-APPLICATION-KEY: ${DD_APP_KEY}" \ -d @- << EOF { "data": { "attributes": { "line": 10, "message": "This is a false positive.", "name": "src/main.py", "repository_id": "my-repo", "rule": "my-ai-ruleset/my-ai-rule", "sha": "abc123def456789012345678901234567890abcd", "type": "FP" }, "id": "violation-abc", "type": "ai_memory_violation_result" } } EOF ##### ```python """ Create an AI memory violation result returns "Successfully created" response """ from datadog_api_client import ApiClient, Configuration from datadog_api_client.v2.api.static_analysis_api import StaticAnalysisApi from datadog_api_client.v2.model.ai_memory_violation_result_data_type import AiMemoryViolationResultDataType from datadog_api_client.v2.model.ai_memory_violation_result_request import AiMemoryViolationResultRequest from datadog_api_client.v2.model.ai_memory_violation_result_request_attributes import ( AiMemoryViolationResultRequestAttributes, ) from datadog_api_client.v2.model.ai_memory_violation_result_request_data import AiMemoryViolationResultRequestData from datadog_api_client.v2.model.ai_memory_violation_type import AiMemoryViolationType body = AiMemoryViolationResultRequest( data=AiMemoryViolationResultRequestData( attributes=AiMemoryViolationResultRequestAttributes( line=10, message="This is a false positive because the input is sanitized.", name="src/main.py", repository_id="my-repo", rule="my-ai-ruleset/my-ai-rule", sha="abc123def456789012345678901234567890abcd", type=AiMemoryViolationType.FP, ), id="violation-abc", type=AiMemoryViolationResultDataType.AI_MEMORY_VIOLATION_RESULT, ), ) configuration = Configuration() configuration.unstable_operations["create_ai_memory_violation_result"] = True with ApiClient(configuration) as api_client: api_instance = StaticAnalysisApi(api_client) api_instance.create_ai_memory_violation_result(body=body) ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=python) and then save the example to `example.py` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" python3 "example.py" ##### ```ruby # Create an AI memory violation result returns "Successfully created" response require "datadog_api_client" DatadogAPIClient.configure do |config| config.unstable_operations["v2.create_ai_memory_violation_result".to_sym] = true end api_instance = DatadogAPIClient::V2::StaticAnalysisAPI.new body = DatadogAPIClient::V2::AiMemoryViolationResultRequest.new({ data: DatadogAPIClient::V2::AiMemoryViolationResultRequestData.new({ attributes: DatadogAPIClient::V2::AiMemoryViolationResultRequestAttributes.new({ line: 10, message: "This is a false positive because the input is sanitized.", name: "src/main.py", repository_id: "my-repo", rule: "my-ai-ruleset/my-ai-rule", sha: "abc123def456789012345678901234567890abcd", type: DatadogAPIClient::V2::AiMemoryViolationType::FP, }), id: "violation-abc", type: DatadogAPIClient::V2::AiMemoryViolationResultDataType::AI_MEMORY_VIOLATION_RESULT, }), }) p api_instance.create_ai_memory_violation_result(body) ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=ruby) and then save the example to `example.rb` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" rb "example.rb" ##### ```go // Create an AI memory violation result returns "Successfully created" response package main import ( "context" "fmt" "os" "github.com/DataDog/datadog-api-client-go/v2/api/datadog" "github.com/DataDog/datadog-api-client-go/v2/api/datadogV2" ) func main() { body := datadogV2.AiMemoryViolationResultRequest{ Data: &datadogV2.AiMemoryViolationResultRequestData{ Attributes: &datadogV2.AiMemoryViolationResultRequestAttributes{ Line: 10, Message: "This is a false positive because the input is sanitized.", Name: "src/main.py", RepositoryId: "my-repo", Rule: "my-ai-ruleset/my-ai-rule", Sha: "abc123def456789012345678901234567890abcd", Type: datadogV2.AIMEMORYVIOLATIONTYPE_FP, }, Id: datadog.PtrString("violation-abc"), Type: datadogV2.AIMEMORYVIOLATIONRESULTDATATYPE_AI_MEMORY_VIOLATION_RESULT.Ptr(), }, } ctx := datadog.NewDefaultContext(context.Background()) configuration := datadog.NewConfiguration() configuration.SetUnstableOperationEnabled("v2.CreateAiMemoryViolationResult", true) apiClient := datadog.NewAPIClient(configuration) api := datadogV2.NewStaticAnalysisApi(apiClient) r, err := api.CreateAiMemoryViolationResult(ctx, body) if err != nil { fmt.Fprintf(os.Stderr, "Error when calling `StaticAnalysisApi.CreateAiMemoryViolationResult`: %v\n", err) fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r) } } ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=go) and then save the example to `main.go` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" go run "main.go" ##### ```java // Create an AI memory violation result returns "Successfully created" response import com.datadog.api.client.ApiClient; import com.datadog.api.client.ApiException; import com.datadog.api.client.v2.api.StaticAnalysisApi; import com.datadog.api.client.v2.model.AiMemoryViolationResultDataType; import com.datadog.api.client.v2.model.AiMemoryViolationResultRequest; import com.datadog.api.client.v2.model.AiMemoryViolationResultRequestAttributes; import com.datadog.api.client.v2.model.AiMemoryViolationResultRequestData; import com.datadog.api.client.v2.model.AiMemoryViolationType; public class Example { public static void main(String[] args) { ApiClient defaultClient = ApiClient.getDefaultApiClient(); defaultClient.setUnstableOperationEnabled("v2.createAiMemoryViolationResult", true); StaticAnalysisApi apiInstance = new StaticAnalysisApi(defaultClient); AiMemoryViolationResultRequest body = new AiMemoryViolationResultRequest() .data( new AiMemoryViolationResultRequestData() .attributes( new AiMemoryViolationResultRequestAttributes() .line(10L) .message("This is a false positive because the input is sanitized.") .name("src/main.py") .repositoryId("my-repo") .rule("my-ai-ruleset/my-ai-rule") .sha("abc123def456789012345678901234567890abcd") .type(AiMemoryViolationType.FP)) .id("violation-abc") .type(AiMemoryViolationResultDataType.AI_MEMORY_VIOLATION_RESULT)); try { apiInstance.createAiMemoryViolationResult(body); } catch (ApiException e) { System.err.println("Exception when calling StaticAnalysisApi#createAiMemoryViolationResult"); System.err.println("Status code: " + e.getCode()); System.err.println("Reason: " + e.getResponseBody()); System.err.println("Response headers: " + e.getResponseHeaders()); e.printStackTrace(); } } } ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=java) and then save the example to `Example.java` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" java "Example.java" ##### ```rust // Create an AI memory violation result returns "Successfully created" response use datadog_api_client::datadog; use datadog_api_client::datadogV2::api_static_analysis::StaticAnalysisAPI; use datadog_api_client::datadogV2::model::AiMemoryViolationResultDataType; use datadog_api_client::datadogV2::model::AiMemoryViolationResultRequest; use datadog_api_client::datadogV2::model::AiMemoryViolationResultRequestAttributes; use datadog_api_client::datadogV2::model::AiMemoryViolationResultRequestData; use datadog_api_client::datadogV2::model::AiMemoryViolationType; #[tokio::main] async fn main() { let body = AiMemoryViolationResultRequest::new().data( AiMemoryViolationResultRequestData::new() .attributes(AiMemoryViolationResultRequestAttributes::new( 10, "This is a false positive because the input is sanitized.".to_string(), "src/main.py".to_string(), "my-repo".to_string(), "my-ai-ruleset/my-ai-rule".to_string(), "abc123def456789012345678901234567890abcd".to_string(), AiMemoryViolationType::FP, )) .id("violation-abc".to_string()) .type_(AiMemoryViolationResultDataType::AI_MEMORY_VIOLATION_RESULT), ); let mut configuration = datadog::Configuration::new(); configuration.set_unstable_operation_enabled("v2.CreateAiMemoryViolationResult", true); let api = StaticAnalysisAPI::with_config(configuration); let resp = api.create_ai_memory_violation_result(body).await; if let Ok(value) = resp { println!("{:#?}", value); } else { println!("{:#?}", resp.unwrap_err()); } } ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=rust) and then save the example to `src/main.rs` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" cargo run ##### ```typescript /** * Create an AI memory violation result returns "Successfully created" response */ import { client, v2 } from "@datadog/datadog-api-client"; const configuration = client.createConfiguration(); configuration.unstableOperations["v2.createAiMemoryViolationResult"] = true; const apiInstance = new v2.StaticAnalysisApi(configuration); const params: v2.StaticAnalysisApiCreateAiMemoryViolationResultRequest = { body: { data: { attributes: { line: 10, message: "This is a false positive because the input is sanitized.", name: "src/main.py", repositoryId: "my-repo", rule: "my-ai-ruleset/my-ai-rule", sha: "abc123def456789012345678901234567890abcd", type: "FP", }, id: "violation-abc", type: "ai_memory_violation_result", }, }, }; apiInstance .createAiMemoryViolationResult(params) .then((data: any) => { console.log( "API called successfully. Returned data: " + JSON.stringify(data) ); }) .catch((error: any) => console.error(error)); ``` #### Instructions First [install the library and its dependencies](https://docs.datadoghq.com/api/latest.md?code-lang=typescript) and then save the example to `example.ts` and run following commands: DD_SITE="datadoghq.com" DD_API_KEY="" DD_APP_KEY="" tsc "example.ts" {% /tab %}