Agent Observability 데이터 세트에 레코드 추가
https://api.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}/recordshttps://api.us3.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}/recordshttps://api.us5.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}/recordshttps://api.datadoghq.eu/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}/recordshttps://api.ap1.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}/recordshttps://api.ap2.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}/recordshttps://api.uk1.datadoghq.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}/recordshttps://api.ddog-gov.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}/recordshttps://api.us2.ddog-gov.com/api/v2/llm-obs/v1/{project_id}/datasets/{dataset_id}/records개요
Agent Observability 데이터 세트에 하나 이상의 레코드를 추가합니다.
인수
경로 파라미터
project_id [required]The ID of the Agent Observability project.
dataset_id [required]The ID of the Agent Observability dataset.
요청
Body Data (required)
레코드 추가 페이로드입니다.
data [required]Agent Observability 데이터 세트에 레코드를 추가하도록 요청합니다.
attributes [required]Attributes for appending records to an Agent Observability dataset.
deduplicateWhether to deduplicate records before appending. Defaults to true.
records [required]List of records to append to the dataset.
expected_outputRepresents any valid JSON value.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4An array of arbitrary values.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4A scalar boolean value.
Object 5A scalar boolean value.
input [required]Represents any valid JSON value.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4An array of arbitrary values.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4A scalar boolean value.
Object 5A scalar boolean value.
metadataArbitrary metadata associated with the record.
type [required]Resource type of an Agent Observability dataset.
datasets{
"data": {
"attributes": {
"deduplicate": false,
"records": [
{
"expected_output": {
"description": "undefined",
"type": "undefined"
},
"input": {
"description": "undefined",
"type": "undefined"
},
"metadata": {}
}
]
},
"type": "datasets"
}
}응답
OK
Response containing records after a create or update operation.
data [required]List of affected dataset records.
records [required]List of affected dataset records.
created_at [required]Timestamp when the record was created.
dataset_id [required]Identifier of the dataset this record belongs to.
expected_output [required]Represents any valid JSON value.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4An array of arbitrary values.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4A scalar boolean value.
Object 5A scalar boolean value.
id [required]Unique identifier of the record.
input [required]Represents any valid JSON value.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4An array of arbitrary values.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4A scalar boolean value.
Object 5A scalar boolean value.
metadata [required]Arbitrary metadata associated with the record.
updated_at [required]Timestamp when the record was last updated.
{
"data": [
{
"records": [
{
"created_at": "2024-01-15T10:30:00Z",
"dataset_id": "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d",
"expected_output": {
"description": "undefined",
"type": "undefined"
},
"id": "rec-7c3f5a1b-9e2d-4f8a-b1c6-3d7e9f0a2b4c",
"input": {
"description": "undefined",
"type": "undefined"
},
"metadata": {},
"updated_at": "2024-01-15T10:30:00Z"
}
]
}
]
}Created
Response containing records after a create or update operation.
data [required]List of affected dataset records.
records [required]List of affected dataset records.
created_at [required]Timestamp when the record was created.
dataset_id [required]Identifier of the dataset this record belongs to.
expected_output [required]Represents any valid JSON value.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4An array of arbitrary values.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4A scalar boolean value.
Object 5A scalar boolean value.
id [required]Unique identifier of the record.
input [required]Represents any valid JSON value.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4An array of arbitrary values.
Object 1A scalar value represented as a string.
Object 2A scalar numeric value.
Object 3An arbitrary object value with additional properties.
Object 4A scalar boolean value.
Object 5A scalar boolean value.
metadata [required]Arbitrary metadata associated with the record.
updated_at [required]Timestamp when the record was last updated.
{
"data": [
{
"records": [
{
"created_at": "2024-01-15T10:30:00Z",
"dataset_id": "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d",
"expected_output": {
"description": "undefined",
"type": "undefined"
},
"id": "rec-7c3f5a1b-9e2d-4f8a-b1c6-3d7e9f0a2b4c",
"input": {
"description": "undefined",
"type": "undefined"
},
"metadata": {},
"updated_at": "2024-01-15T10:30:00Z"
}
]
}
]
}Bad Request
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Unauthorized
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Forbidden
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Not Found
API error response.
errors [required]A list of errors.
detailA human-readable explanation specific to this occurrence of the error.
metaNon-standard meta-information about the error
sourceReferences to the source of the error.
headerA string indicating the name of a single request header which caused the error.
parameterA string indicating which URI query parameter caused the error.
pointerA JSON pointer to the value in the request document that caused the error.
statusStatus code of the response.
titleShort human-readable summary of the error.
{
"errors": [
{
"detail": "Missing required attribute in body",
"meta": {},
"source": {
"header": "Authorization",
"parameter": "limit",
"pointer": "/data/attributes/title"
},
"status": "400",
"title": "Bad Request"
}
]
}Too many requests
API error response.
errors [required]A list of errors.
{
"errors": [
"Bad Request"
]
}코드 예시
# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}/records" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}/records" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}/records" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}/records" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}/records" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}/records" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}/records" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}/records" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF# Path parameters
export project_id="a33671aa-24fd-4dcd-9b33-a8ec7dde7751"
export dataset_id="9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/${project_id}/datasets/${dataset_id}/records" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"type": "datasets"
}
}
EOF// Append records to an Agent Observability dataset returns "OK" response
package main
import (
"context"
"encoding/json"
"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.LLMObsDatasetRecordsRequest{
Data: datadogV2.LLMObsDatasetRecordsDataRequest{
Attributes: datadogV2.LLMObsDatasetRecordsDataAttributesRequest{
Records: []datadogV2.LLMObsDatasetRecordItem{
{
ExpectedOutput: *datadogV2.NewNullableAnyValue(nil),
Input: *datadogV2.NewNullableAnyValue(nil),
},
},
},
Type: datadogV2.LLMOBSRECORDTYPE_RECORDS,
},
}
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.CreateLLMObsDatasetRecords", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewAgentObservabilityApi(apiClient)
resp, r, err := api.CreateLLMObsDatasetRecords(ctx, "project_id", "dataset_id", body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `AgentObservabilityApi.CreateLLMObsDatasetRecords`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `AgentObservabilityApi.CreateLLMObsDatasetRecords`:\n%s\n", responseContent)
}
Instructions
First install the library and its dependencies and then save the example to main.go and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" go run "main.go"// Append records to an Agent Observability dataset returns "OK" response
import com.datadog.api.client.ApiClient;
import com.datadog.api.client.ApiException;
import com.datadog.api.client.v2.api.AgentObservabilityApi;
import com.datadog.api.client.v2.model.LLMObsDatasetRecordItem;
import com.datadog.api.client.v2.model.LLMObsDatasetRecordsDataAttributesRequest;
import com.datadog.api.client.v2.model.LLMObsDatasetRecordsDataRequest;
import com.datadog.api.client.v2.model.LLMObsDatasetRecordsMutationResponse;
import com.datadog.api.client.v2.model.LLMObsDatasetRecordsRequest;
import com.datadog.api.client.v2.model.LLMObsRecordType;
import java.util.Collections;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.createLLMObsDatasetRecords", true);
AgentObservabilityApi apiInstance = new AgentObservabilityApi(defaultClient);
LLMObsDatasetRecordsRequest body =
new LLMObsDatasetRecordsRequest()
.data(
new LLMObsDatasetRecordsDataRequest()
.attributes(
new LLMObsDatasetRecordsDataAttributesRequest()
.records(
Collections.singletonList(
new LLMObsDatasetRecordItem()
.expectedOutput(null)
.input(null))))
.type(LLMObsRecordType.RECORDS));
try {
LLMObsDatasetRecordsMutationResponse result =
apiInstance.createLLMObsDatasetRecords(
"a33671aa-24fd-4dcd-9b33-a8ec7dde7751", "9f64e5c7-dc5a-45c8-a17c-1b85f0bec97d", body);
System.out.println(result);
} catch (ApiException e) {
System.err.println("Exception when calling AgentObservabilityApi#createLLMObsDatasetRecords");
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 and then save the example to Example.java and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" java "Example.java""""
Append records to an Agent Observability dataset returns "OK" response
"""
from os import environ
from datadog_api_client import ApiClient, Configuration
from datadog_api_client.v2.api.agent_observability_api import AgentObservabilityApi
from datadog_api_client.v2.model.llm_obs_dataset_record_item import LLMObsDatasetRecordItem
from datadog_api_client.v2.model.llm_obs_dataset_records_data_attributes_request import (
LLMObsDatasetRecordsDataAttributesRequest,
)
from datadog_api_client.v2.model.llm_obs_dataset_records_data_request import LLMObsDatasetRecordsDataRequest
from datadog_api_client.v2.model.llm_obs_dataset_records_request import LLMObsDatasetRecordsRequest
from datadog_api_client.v2.model.llm_obs_record_type import LLMObsRecordType
body = LLMObsDatasetRecordsRequest(
data=LLMObsDatasetRecordsDataRequest(
attributes=LLMObsDatasetRecordsDataAttributesRequest(
records=[
LLMObsDatasetRecordItem(
expected_output=None,
input=None,
),
],
),
type=LLMObsRecordType.RECORDS,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["create_llm_obs_dataset_records"] = True
with ApiClient(configuration) as api_client:
api_instance = AgentObservabilityApi(api_client)
response = api_instance.create_llm_obs_dataset_records(project_id="project_id", dataset_id="dataset_id", body=body)
print(response)
Instructions
First install the library and its dependencies and then save the example to example.py and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" python3 "example.py"# Append records to an Agent Observability dataset returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.create_llm_obs_dataset_records".to_sym] = true
end
api_instance = DatadogAPIClient::V2::AgentObservabilityAPI.new
body = DatadogAPIClient::V2::LLMObsDatasetRecordsRequest.new({
data: DatadogAPIClient::V2::LLMObsDatasetRecordsDataRequest.new({
attributes: DatadogAPIClient::V2::LLMObsDatasetRecordsDataAttributesRequest.new({
records: [
DatadogAPIClient::V2::LLMObsDatasetRecordItem.new({
expected_output: nil,
input: nil,
}),
],
}),
type: DatadogAPIClient::V2::LLMObsRecordType::RECORDS,
}),
})
p api_instance.create_llm_obs_dataset_records("project_id", "dataset_id", body)
Instructions
First install the library and its dependencies and then save the example to example.rb and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" rb "example.rb"// Append records to an Agent Observability dataset returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_agent_observability::AgentObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsDatasetRecordItem;
use datadog_api_client::datadogV2::model::LLMObsDatasetRecordsDataAttributesRequest;
use datadog_api_client::datadogV2::model::LLMObsDatasetRecordsDataRequest;
use datadog_api_client::datadogV2::model::LLMObsDatasetRecordsRequest;
use datadog_api_client::datadogV2::model::LLMObsRecordType;
#[tokio::main]
async fn main() {
let body = LLMObsDatasetRecordsRequest::new(LLMObsDatasetRecordsDataRequest::new(
LLMObsDatasetRecordsDataAttributesRequest::new(vec![
LLMObsDatasetRecordItem::new(None).expected_output(None)
]),
LLMObsRecordType::RECORDS,
));
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.create_llm_obs_dataset_records", true);
let api = AgentObservabilityAPI::with_config(configuration);
let resp = api
.create_llm_obs_dataset_records("project_id".to_string(), "dataset_id".to_string(), body)
.await;
if let Ok(value) = resp {
println!("{:#?}", value);
} else {
println!("{:#?}", resp.unwrap_err());
}
}
Instructions
First install the library and its dependencies and then save the example to src/main.rs and run following commands:
DD_SITE="datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us3.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us5.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="datadoghq.eu" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ap2.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="uk1.datadoghq.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo runDD_SITE="us2.ddog-gov.com" DD_API_KEY="<DD_API_KEY>" DD_APP_KEY="<DD_APP_KEY>" cargo run/**
* Append records to an Agent Observability dataset returns "OK" response
*/
import { client, v2 } from "@datadog/datadog-api-client";
const configuration = client.createConfiguration({
authMethods: {
AuthZ: {
accessToken: process.env.DD_BEARER_TOKEN as string,
},
},
});
configuration.unstableOperations["v2.createLLMObsDatasetRecords"] = true;
const apiInstance = new v2.AgentObservabilityApi(configuration);
const params: v2.AgentObservabilityApiCreateLLMObsDatasetRecordsRequest = {
body: {
data: {
attributes: {
records: [
{
expectedOutput: undefined,
input: null,
},
],
},
type: "records",
},
},
projectId: "project_id",
datasetId: "dataset_id",
};
apiInstance
.createLLMObsDatasetRecords(params)
.then((data: v2.LLMObsDatasetRecordsMutationResponse) => {
console.log(
"API called successfully. Returned data: " + JSON.stringify(data)
);
})
.catch((error: any) => console.error(error));
Instructions
First install the library and its dependencies and then save the example to example.ts and run following commands:
DD_SITE="datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us3.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us5.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="datadoghq.eu" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ap2.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="uk1.datadoghq.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"DD_SITE="us2.ddog-gov.com" DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>" tsc "example.ts"