주석 대기열 상호작용 추가
https://api.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/interactionshttps://api.us3.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/interactionshttps://api.us5.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/interactionshttps://api.datadoghq.eu/api/v2/llm-obs/v1/annotation-queues/{queue_id}/interactionshttps://api.ap1.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/interactionshttps://api.ap2.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/interactionshttps://api.uk1.datadoghq.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/interactionshttps://api.ddog-gov.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/interactionshttps://api.us2.ddog-gov.com/api/v2/llm-obs/v1/annotation-queues/{queue_id}/interactions개요
주석 대기열에 하나 이상의 상호작용을 추가합니다. 최소 1개 이상
상호작용이 제공되어야 합니다. 각 상호작용에는 type으로
trace,experiment_trace,session이 있으며content_id는 업스트림 엔터티를 참조하고 서버가 실제 콘텐츠를 가져옵니다.display_block:content_id를 생략하고display_block의 렌더링된 콘텐츠를 제공합니다. 서버는content_id를 블록 목록의 결정론적 해시로 생성합니다.
서로 다른 유형의 항목을 단일 요청에 혼합할 수 있습니다.
인수
경로 파라미터
queue_id [required]The ID of the Agent Observability annotation queue.
요청
Body Data (required)
상호 작용 페이로드를 추가합니다.
data [required]Agent Observability 주석 대기열에 상호작용을 추가하도록 요청합니다.
attributes [required]Attributes for adding interactions to an annotation queue.
interactions [required]List of interactions to add to the queue. Must contain at least one item.
Object 1An interaction that references an upstream trace, experiment trace, or session.
content_id [required]Upstream entity identifier (trace, experiment trace, or session ID).
type [required]Type of an upstream-entity interaction.
trace, experiment_trace, session<type=display_block>An interaction whose rendered content is supplied directly as a list
of display blocks. The server generates content_id deterministically
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.
type [required]Type discriminator for a display_block interaction.
display_blocktype [required]Resource type for annotation queue interactions.
interactions{
"data": {
"attributes": {
"interactions": [
{
"content_id": "trace-abc-123",
"type": "trace"
}
]
},
"type": "interactions"
}
}{
"data": {
"attributes": {
"interactions": [
{
"display_block": [
{
"content": "## Triage Instructions",
"type": "markdown"
},
{
"content": "Inputs",
"level": "md",
"type": "header"
},
{
"content": {
"experiment_id": "abc-123"
},
"label": "Experiments",
"type": "json"
},
{
"code": "<div class=\"status-card\">Ready for review</div>",
"label": "Review status",
"type": "frontend"
}
],
"type": "display_block"
}
]
},
"type": "interactions"
}
}응답
Created
Response containing the result of adding interactions to an annotation queue.
data [required]Data object for the interaction addition response.
attributes [required]Attributes of the interaction addition response.
interactions [required]List of interactions that were processed.
Object 1A trace, experiment trace, or session interaction result.
already_existed [required]Whether this interaction already existed in the queue.
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 result.
already_existed [required]Whether this interaction already existed in the queue.
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_blockid [required]The queue ID the interactions were added to.
type [required]Resource type for annotation queue interactions.
interactions{
"data": {
"attributes": {
"interactions": [
{
"already_existed": false,
"content_id": "trace-abc-123",
"created_at": "2024-01-15T10:30:00Z",
"id": "00000000-0000-0000-0000-000000000000",
"modified_at": "2024-01-15T10:30:00Z",
"type": "trace"
}
]
},
"id": "00000000-0000-0000-0000-000000000001",
"type": "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"
# 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.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/interactions" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"interactions": [
{
"content_id": "trace-abc-123",
"type": "trace"
}
]
},
"type": "interactions"
}
}
EOF# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
# Set your Datadog site and credentials
export DD_SITE="us3.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/interactions" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"interactions": [
{
"content_id": "trace-abc-123",
"type": "trace"
}
]
},
"type": "interactions"
}
}
EOF# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
# Set your Datadog site and credentials
export DD_SITE="us5.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/interactions" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"interactions": [
{
"content_id": "trace-abc-123",
"type": "trace"
}
]
},
"type": "interactions"
}
}
EOF# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
# Set your Datadog site and credentials
export DD_SITE="datadoghq.eu"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/interactions" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"interactions": [
{
"content_id": "trace-abc-123",
"type": "trace"
}
]
},
"type": "interactions"
}
}
EOF# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
# Set your Datadog site and credentials
export DD_SITE="ap1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/interactions" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"interactions": [
{
"content_id": "trace-abc-123",
"type": "trace"
}
]
},
"type": "interactions"
}
}
EOF# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
# Set your Datadog site and credentials
export DD_SITE="ap2.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/interactions" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"interactions": [
{
"content_id": "trace-abc-123",
"type": "trace"
}
]
},
"type": "interactions"
}
}
EOF# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
# Set your Datadog site and credentials
export DD_SITE="uk1.datadoghq.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/interactions" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"interactions": [
{
"content_id": "trace-abc-123",
"type": "trace"
}
]
},
"type": "interactions"
}
}
EOF# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
# Set your Datadog site and credentials
export DD_SITE="ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/interactions" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"interactions": [
{
"content_id": "trace-abc-123",
"type": "trace"
}
]
},
"type": "interactions"
}
}
EOF# Path parameters
export queue_id="00000000-0000-0000-0000-000000000001"
# Set your Datadog site and credentials
export DD_SITE="us2.ddog-gov.com"
# Use a Personal Access Token or Service Access Token
export DD_BEARER_TOKEN="<PERSONAL_ACCESS_TOKEN OR SERVICE_ACCESS_TOKEN>"
curl -X POST "https://api.${DD_SITE}/api/v2/llm-obs/v1/annotation-queues/${queue_id}/interactions" \
-H "Accept: application/json" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer ${DD_BEARER_TOKEN}" \
-d @- << EOF
{
"data": {
"attributes": {
"interactions": [
{
"content_id": "trace-abc-123",
"type": "trace"
}
]
},
"type": "interactions"
}
}
EOF// Add annotation queue interactions returns "Created" 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.LLMObsAnnotationQueueInteractionsRequest{
Data: datadogV2.LLMObsAnnotationQueueInteractionsDataRequest{
Attributes: datadogV2.LLMObsAnnotationQueueInteractionsDataAttributesRequest{
Interactions: []datadogV2.LLMObsAnnotationQueueInteractionItem{
datadogV2.LLMObsAnnotationQueueInteractionItem{
LLMObsTraceInteractionItem: &datadogV2.LLMObsTraceInteractionItem{
ContentId: "trace-abc-123",
Type: datadogV2.LLMOBSTRACEINTERACTIONTYPE_TRACE,
}},
},
},
Type: datadogV2.LLMOBSANNOTATIONQUEUEINTERACTIONSTYPE_INTERACTIONS,
},
}
ctx := datadog.NewDefaultContext(context.Background())
ctx = context.WithValue(ctx, datadog.ContextAccessToken, os.Getenv("DD_BEARER_TOKEN"))
configuration := datadog.NewConfiguration()
configuration.SetUnstableOperationEnabled("v2.CreateLLMObsAnnotationQueueInteractions", true)
apiClient := datadog.NewAPIClient(configuration)
api := datadogV2.NewAgentObservabilityApi(apiClient)
resp, r, err := api.CreateLLMObsAnnotationQueueInteractions(ctx, "queue_id", body)
if err != nil {
fmt.Fprintf(os.Stderr, "Error when calling `AgentObservabilityApi.CreateLLMObsAnnotationQueueInteractions`: %v\n", err)
fmt.Fprintf(os.Stderr, "Full HTTP response: %v\n", r)
}
responseContent, _ := json.MarshalIndent(resp, "", " ")
fmt.Fprintf(os.Stdout, "Response from `AgentObservabilityApi.CreateLLMObsAnnotationQueueInteractions`:\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"// Add annotation queue interactions returns "Created" 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.LLMObsAnnotationQueueInteractionItem;
import com.datadog.api.client.v2.model.LLMObsAnnotationQueueInteractionsDataAttributesRequest;
import com.datadog.api.client.v2.model.LLMObsAnnotationQueueInteractionsDataRequest;
import com.datadog.api.client.v2.model.LLMObsAnnotationQueueInteractionsRequest;
import com.datadog.api.client.v2.model.LLMObsAnnotationQueueInteractionsResponse;
import com.datadog.api.client.v2.model.LLMObsAnnotationQueueInteractionsType;
import com.datadog.api.client.v2.model.LLMObsTraceInteractionItem;
import com.datadog.api.client.v2.model.LLMObsTraceInteractionType;
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.createLLMObsAnnotationQueueInteractions", true);
AgentObservabilityApi apiInstance = new AgentObservabilityApi(defaultClient);
LLMObsAnnotationQueueInteractionsRequest body =
new LLMObsAnnotationQueueInteractionsRequest()
.data(
new LLMObsAnnotationQueueInteractionsDataRequest()
.attributes(
new LLMObsAnnotationQueueInteractionsDataAttributesRequest()
.interactions(
Collections.singletonList(
new LLMObsAnnotationQueueInteractionItem(
new LLMObsTraceInteractionItem()
.contentId("trace-abc-123")
.type(LLMObsTraceInteractionType.TRACE)))))
.type(LLMObsAnnotationQueueInteractionsType.INTERACTIONS));
try {
LLMObsAnnotationQueueInteractionsResponse result =
apiInstance.createLLMObsAnnotationQueueInteractions(
"00000000-0000-0000-0000-000000000001", body);
System.out.println(result);
} catch (ApiException e) {
System.err.println(
"Exception when calling AgentObservabilityApi#createLLMObsAnnotationQueueInteractions");
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""""
Add annotation queue interactions returns "Created" 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_annotation_queue_interactions_data_attributes_request import (
LLMObsAnnotationQueueInteractionsDataAttributesRequest,
)
from datadog_api_client.v2.model.llm_obs_annotation_queue_interactions_data_request import (
LLMObsAnnotationQueueInteractionsDataRequest,
)
from datadog_api_client.v2.model.llm_obs_annotation_queue_interactions_request import (
LLMObsAnnotationQueueInteractionsRequest,
)
from datadog_api_client.v2.model.llm_obs_annotation_queue_interactions_type import LLMObsAnnotationQueueInteractionsType
from datadog_api_client.v2.model.llm_obs_trace_interaction_item import LLMObsTraceInteractionItem
from datadog_api_client.v2.model.llm_obs_trace_interaction_type import LLMObsTraceInteractionType
body = LLMObsAnnotationQueueInteractionsRequest(
data=LLMObsAnnotationQueueInteractionsDataRequest(
attributes=LLMObsAnnotationQueueInteractionsDataAttributesRequest(
interactions=[
LLMObsTraceInteractionItem(
content_id="trace-abc-123",
type=LLMObsTraceInteractionType.TRACE,
),
],
),
type=LLMObsAnnotationQueueInteractionsType.INTERACTIONS,
),
)
configuration = Configuration()
configuration.access_token = environ["DD_BEARER_TOKEN"]
configuration.unstable_operations["create_llm_obs_annotation_queue_interactions"] = True
with ApiClient(configuration) as api_client:
api_instance = AgentObservabilityApi(api_client)
response = api_instance.create_llm_obs_annotation_queue_interactions(queue_id="queue_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"# Add annotation queue interactions returns "Created" response
require "datadog_api_client"
DatadogAPIClient.configure do |config|
config.access_token = ENV["DD_BEARER_TOKEN"]
config.unstable_operations["v2.create_llm_obs_annotation_queue_interactions".to_sym] = true
end
api_instance = DatadogAPIClient::V2::AgentObservabilityAPI.new
body = DatadogAPIClient::V2::LLMObsAnnotationQueueInteractionsRequest.new({
data: DatadogAPIClient::V2::LLMObsAnnotationQueueInteractionsDataRequest.new({
attributes: DatadogAPIClient::V2::LLMObsAnnotationQueueInteractionsDataAttributesRequest.new({
interactions: [
DatadogAPIClient::V2::LLMObsTraceInteractionItem.new({
content_id: "trace-abc-123",
type: DatadogAPIClient::V2::LLMObsTraceInteractionType::TRACE,
}),
],
}),
type: DatadogAPIClient::V2::LLMObsAnnotationQueueInteractionsType::INTERACTIONS,
}),
})
p api_instance.create_llm_obs_annotation_queue_interactions("queue_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"// Add annotation queue interactions returns "Created" response
use datadog_api_client::datadog;
use datadog_api_client::datadogV2::api_agent_observability::AgentObservabilityAPI;
use datadog_api_client::datadogV2::model::LLMObsAnnotationQueueInteractionItem;
use datadog_api_client::datadogV2::model::LLMObsAnnotationQueueInteractionsDataAttributesRequest;
use datadog_api_client::datadogV2::model::LLMObsAnnotationQueueInteractionsDataRequest;
use datadog_api_client::datadogV2::model::LLMObsAnnotationQueueInteractionsRequest;
use datadog_api_client::datadogV2::model::LLMObsAnnotationQueueInteractionsType;
use datadog_api_client::datadogV2::model::LLMObsTraceInteractionItem;
use datadog_api_client::datadogV2::model::LLMObsTraceInteractionType;
#[tokio::main]
async fn main() {
let body = LLMObsAnnotationQueueInteractionsRequest::new(
LLMObsAnnotationQueueInteractionsDataRequest::new(
LLMObsAnnotationQueueInteractionsDataAttributesRequest::new(vec![
LLMObsAnnotationQueueInteractionItem::LLMObsTraceInteractionItem(Box::new(
LLMObsTraceInteractionItem::new(
"trace-abc-123".to_string(),
LLMObsTraceInteractionType::TRACE,
),
)),
]),
LLMObsAnnotationQueueInteractionsType::INTERACTIONS,
),
);
let mut configuration = datadog::Configuration::new();
configuration
.set_unstable_operation_enabled("v2.create_llm_obs_annotation_queue_interactions", true);
let api = AgentObservabilityAPI::with_config(configuration);
let resp = api
.create_llm_obs_annotation_queue_interactions("queue_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/**
* Add annotation queue interactions returns "Created" 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.createLLMObsAnnotationQueueInteractions"] =
true;
const apiInstance = new v2.AgentObservabilityApi(configuration);
const params: v2.AgentObservabilityApiCreateLLMObsAnnotationQueueInteractionsRequest =
{
body: {
data: {
attributes: {
interactions: [
{
contentId: "trace-abc-123",
type: "trace",
},
],
},
type: "interactions",
},
},
queueId: "queue_id",
};
apiInstance
.createLLMObsAnnotationQueueInteractions(params)
.then((data: v2.LLMObsAnnotationQueueInteractionsResponse) => {
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"