주석이 달린 대기열 상호작용 가져오기
https://api.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/annotated-interactions/{interaction_id}https://api.us3.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/annotated-interactions/{interaction_id}https://api.us5.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/annotated-interactions/{interaction_id}https://api.datadoghq.eu/api/v2/llm-obs/v1/annotation-queues/{queue_id}/annotated-interactions/{interaction_id}https://api.ap1.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/annotated-interactions/{interaction_id}https://api.ap2.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/annotated-interactions/{interaction_id}https://api.uk1.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/annotated-interactions/{interaction_id}https://api.ddog-gov.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/annotated-interactions/{interaction_id}https://api.us2.ddog-gov.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/annotated-interactions/{interaction_id}개요
주석 대기열에서 상호작용, 해당 주석 및 관련 이벤트 페이지를 검색합니다.
인수
경로 파라미터
queue_id [required]The ID of the Agent Observability annotation queue.
interaction_id [required]The ID of the interaction in the annotation queue.
쿼리 문자열
limitMaximum number of events to return. Defaults to 10.
10cursorCursor from the previous response to retrieve the next page of events.
응답
OK
Response containing a single annotated interaction and its related events.
data [required]Data object for a single annotated interaction.
attributes [required]Attributes containing an annotated interaction and its related events.
annotated_interaction [required]An interaction with its associated annotations.
Object 1A trace, experiment trace, or session interaction with its associated annotations.
annotations [required]List of annotations for this interaction.
created_at [required]Timestamp when the annotation was created.
created_by [required]Identifier of the user who created the annotation.
id [required]Unique identifier of the annotation.
interaction_id [required]Identifier of the interaction this annotation belongs to.
label_values [required]Label values for this annotation.
modified_at [required]Timestamp when the annotation was last modified.
modified_by [required]Identifier of the user who last modified the annotation.
can_annotate [required]Whether the current caller can annotate this interaction.
content_id [required]Upstream entity identifier supplied by the caller.
created_at [required]Timestamp when the interaction was added to the queue.
id [required]Unique identifier of the interaction.
modified_at [required]Timestamp when the interaction was last updated.
type [required]Type of an upstream-entity interaction.
trace, experiment_trace, session<type=display_block>A display_block interaction with its associated annotations.
annotations [required]List of annotations for this interaction.
created_at [required]Timestamp when the annotation was created.
created_by [required]Identifier of the user who created the annotation.
id [required]Unique identifier of the annotation.
interaction_id [required]Identifier of the interaction this annotation belongs to.
label_values [required]Label values for this annotation.
modified_at [required]Timestamp when the annotation was last modified.
modified_by [required]Identifier of the user who last modified the annotation.
can_annotate [required]Whether the current caller can annotate this interaction.
content_id [required]Server-generated deterministic identifier derived from the block list.
display_block [required]List of content blocks that make up a display_block interaction.
Must contain at least one block.
altAlternative text for an image block.
codeHTML code rendered by a frontend block. Required for frontend blocks.
contentBlock payload. A string for markdown, header, and text; an
arbitrary JSON value (object, array, or scalar) for json. Omitted
for image, univiz, llmobs_trace, and frontend.
heightOptional rendered height. Must be positive when set.
interactionTypeUpstream interaction type referenced by an llmobs_trace block.
Restricted to trace or experiment_trace.
trace, experiment_tracelabelOptional label rendered alongside a frontend block.
levelVisual size for a header block.
sm, md, lg, xltileDefTile definition for a univiz block. Required for univiz. The
schema is owned by the frontend renderer.
timeFrameUnix-millis time range used by chart blocks.
end [required]End of the range, in Unix milliseconds.
start [required]Start of the range, in Unix milliseconds.
traceIdTrace identifier. Required for llmobs_trace blocks.
typeDiscriminator for a single display_block content block. Adding a
variant requires coordinated changes in the frontend renderer.
markdown, header, text, json, image, univiz, llmobs_trace, frontendurlURL of the image. Required for image blocks.
id [required]Unique identifier of the interaction.
type [required]Type discriminator for a display_block interaction.
display_blockevents [required]Page of events associated with the annotated interaction.
attributes [required]Attributes of an event associated with an annotated interaction.
id [required]Unique identifier of the event.
type [required]Type of the event.
interaction_type [required]Type of an annotated interaction.
trace, experiment_trace, session, display_blocknext_cursorCursor to retrieve the next page of events. Absent when there are no more events.
id [required]Unique identifier of the interaction.
type [required]Resource type for annotated interactions.
annotated_interactions{
"data": {
"attributes": {
"annotated_interaction": {
"annotations": [
{
"created_at": "2024-01-15T10:30:00Z",
"created_by": "00000000-0000-0000-0000-000000000002",
"id": "annotation-789",
"interaction_id": "interaction-456",
"label_values": [
{}
],
"modified_at": "2024-01-15T10:30:00Z",
"modified_by": "00000000-0000-0000-0000-000000000002"
}
],
"can_annotate": true,
"content_id": "trace-abc-123",
"created_at": "2024-01-15T10:30:00Z",
"id": "interaction-456",
"modified_at": "2024-01-15T10:30:00Z",
"type": "trace"
},
"events": [
{
"attributes": {
"duration": 1500000000,
"ml_app": "my-llm-app",
"name": "agent_workflow",
"span_id": "span-7a1b2c3d",
"span_kind": "agent",
"start_ns": 1705314600000000000,
"status": "ok",
"trace_id": "trace-abc-123"
},
"id": "span-7a1b2c3d",
"type": "span"
}
],
"interaction_type": "trace",
"next_cursor": "eyJzdGFydCI6MTAwfQ=="
},
"id": "interaction-456",
"type": "annotated_interactions"
}
}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 queue_id="00000000-0000-0000-0000-000000000001"
export interaction_id="interaction-456"
# 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 GET "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/annotated-interactions/${interaction_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
export interaction_id="interaction-456"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/annotated-interactions/${interaction_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
export interaction_id="interaction-456"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/annotated-interactions/${interaction_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
export interaction_id="interaction-456"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/annotated-interactions/${interaction_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
export interaction_id="interaction-456"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/annotated-interactions/${interaction_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
export interaction_id="interaction-456"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/annotated-interactions/${interaction_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
export interaction_id="interaction-456"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/annotated-interactions/${interaction_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
export interaction_id="interaction-456"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/annotated-interactions/${interaction_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
export interaction_id="interaction-456"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X GET "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/annotated-interactions/${interaction_id}" \
-H "Accept: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}"// Get an annotated queue interaction 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() {
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.GetLLMObsAnnotatedInteraction", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewAgentObservabilityApi(apiClient)
resp, r, err := api.GetLLMObsAnnotatedInteraction(ctx, "queue_id", "interaction_id", *datadogV2.NewGetLLMObsAnnotatedInteractionOptionalParameters())
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `AgentObservabilityApi.GetLLMObsAnnotatedInteraction`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `AgentObservabilityApi.GetLLMObsAnnotatedInteraction`:\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"// Get an annotated queue interaction 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.LLMObsAnnotatedInteractionResponse;
public class Example {
public static void main(String[] args) {
ApiClient defaultClient = ApiClient.getDefaultApiClient();
defaultClient.setAccessToken(System.getenv("DD_BEARER_TOKEN"));
defaultClient.setUnstableOperationEnabled("v2.getLLMObsAnnotatedInteraction", true);
AgentObservabilityApi apiInstance = new AgentObservabilityApi(defaultClient);
try {
LLMObsAnnotatedInteractionResponse result =
apiInstance.getLLMObsAnnotatedInteraction(
"00000000-0000-0000-0000-000000000001", "interaction-456");
System.out.println(result);
} catch (ApiException e) {
System.err.println(
"Exception when calling AgentObservabilityApi#getLLMObsAnnotatedInteraction");
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""""
Get an annotated queue interaction 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
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["get_llm_obs_annotated_interaction"] = True
with ApiClient(configuration) as api_client:
api_instance = AgentObservabilityApi(api_client)
response = api_instance.get_llm_obs_annotated_interaction(
queue_id="queue_id",
interaction_id="interaction_id",
)
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"# Get an annotated queue interaction returns "OK" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.get_llm_obs_annotated_interaction".to_sym] = true
end
api_instance = DatadogAPIClient::V2::AgentObservabilityAPI.new
p api_instance.get_llm_obs_annotated_interaction("queue_id", "interaction_id")
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"// Get an annotated queue interaction returns "OK" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_agent_observability::AgentObservabilityAPI;
use datadog_api_client::datadogV2::api_agent_observability::GetLLMObsAnnotatedInteractionOptionalParams;
#[tokio::main]
async fn main() {
let mut configuration = datadog::Configuration::new();
configuration.set_unstable_operation_enabled("v2.get_llm_obs_annotated_interaction", true);
let api = AgentObservabilityAPI::with_config(configuration);
let resp = api
.get_llm_obs_annotated_interaction(
"queue_id".to_string(),
"interaction_id".to_string(),
GetLLMObsAnnotatedInteractionOptionalParams::default(),
)
.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/**
* Get an annotated queue interaction 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.getLLMObsAnnotatedInteraction"] = true;
const apiInstance = new v2.AgentObservabilityApi(configuration);
const params: v2.AgentObservabilityApiGetLLMObsAnnotatedInteractionRequest = {
queueId: "queue_id",
interactionId: "interaction_id",
};
apiInstance
.getLLMObsAnnotatedInteraction(params)
.then((data: v2.LLMObsAnnotatedInteractionResponse) => {
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"