POST
/api/v1/annotations/queues/itemsAdd items to an annotation queue
Bulk-adds items (from traces/eval runs/logs) to a queue and bumps the queue total via `increment_queue_total`. queueId, projectId, items required (1-500). Each item MAY carry traceId (≤200 chars), evalRunId (uuid), logId (≤200 chars) and assignedTo (uuid) — all four are optional and an empty item object is accepted. The queue must exist and belong to projectId (404 otherwise). Requires datasets:create. Returns 201 { added }.
Authentication
Send Authorization: Bearer YOUR_API_KEY on every request. Generate API keys at /dashboard/settings/api-keys.
Request body required
Example
{
"queueId": "00000000-0000-0000-0000-000000000000",
"projectId": "00000000-0000-0000-0000-000000000000",
"items": [
{
"traceId": "string",
"evalRunId": "00000000-0000-0000-0000-000000000000",
"logId": "string",
"assignedTo": "00000000-0000-0000-0000-000000000000"
}
]
}Schema
{
"application/json": {
"schema": {
"type": "object",
"properties": {
"queueId": {
"type": "string",
"format": "uuid",
"pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
},
"projectId": {
"type": "string",
"format": "uuid",
"pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
},
"items": {
"minItems": 1,
"maxItems": 500,
"type": "array",
"items": {
"type": "object",
"properties": {
"traceId": {
"type": "string",
"maxLength": 200
},
"evalRunId": {
"type": "string",
"format": "uuid",
"pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
},
"logId": {
"type": "string",
"maxLength": 200
},
"assignedTo": {
"type": "string",
"format": "uuid",
"pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
}
},
"additionalProperties": false
}
}
},
"required": [
"queueId",
"projectId",
"items"
],
"additionalProperties": false
}
}
}Response
201 example
{
"success": true
}All status codes
201Items added — {added}.
400(no description)
401(no description)
403Forbidden — the credential is valid but lacks the API-key scope, member role, or plan entitlement this operation requires.
404Queue not found or not in this project.
429(no description)
500Internal Server Error — DB_ERROR.
Code samples
cURL
curl -X POST \
https://evalguard.ai/api/v1/annotations/queues/items \
-H "Authorization: Bearer $EVALGUARD_API_KEY" \
-H "Content-Type: application/json" \
-d '{ "queueId": "00000000-0000-0000-0000-000000000000", "projectId": "00000000-0000-0000-0000-000000000000", "items": [ { "traceId": "string", "evalRunId": "00000000-0000-0000-0000-000000000000", "logId": "string", "assignedTo": "00000000-0000-0000-0000-000000000000" } ] }'TypeScript
// The TypeScript SDK (@evalguard/sdk) exposes TYPED methods — runEval,
// getEval, runSecurityScan, checkFirewall, … — not a generic request().
// For an arbitrary endpoint, call it directly:
const res = await fetch("https://evalguard.ai/api/v1/annotations/queues/items", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.EVALGUARD_API_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"queueId": "00000000-0000-0000-0000-000000000000",
"projectId": "00000000-0000-0000-0000-000000000000",
"items": [
{
"traceId": "string",
"evalRunId": "00000000-0000-0000-0000-000000000000",
"logId": "string",
"assignedTo": "00000000-0000-0000-0000-000000000000"
}
]
}),
});
console.log(res.status, await res.json());Python
# The Python SDK (pip install evalguardai) exposes TYPED methods on
# EvalGuardClient — run_eval, get_eval, … — not a generic request().
# For an arbitrary endpoint, call it directly:
import os
import requests
headers = {"Authorization": f"Bearer {os.environ['EVALGUARD_API_KEY']}"}
headers["Content-Type"] = "application/json"
response = requests.request(
"POST",
"https://evalguard.ai/api/v1/annotations/queues/items",
headers=headers,
json={
"queueId": "00000000-0000-0000-0000-000000000000",
"projectId": "00000000-0000-0000-0000-000000000000",
"items": [
{
"traceId": "string",
"evalRunId": "00000000-0000-0000-0000-000000000000",
"logId": "string",
"assignedTo": "00000000-0000-0000-0000-000000000000"
}
]
},
)
print(response.status_code, response.json())Go
package main
import (
"context"
"fmt"
"net/http"
"os"
"strings"
)
func main() {
body := strings.NewReader(`{"queueId":"00000000-0000-0000-0000-000000000000","projectId":"00000000-0000-0000-0000-000000000000","items":[{"traceId":"string","evalRunId":"00000000-0000-0000-0000-000000000000","logId":"string","assignedTo":"00000000-0000-0000-0000-000000000000"}]}`)
req, _ := http.NewRequestWithContext(context.Background(), "POST", "https://evalguard.ai/api/v1/annotations/queues/items", body)
req.Header.Set("Authorization", "Bearer "+os.Getenv("EVALGUARD_API_KEY"))
req.Header.Set("Content-Type", "application/json")
resp, err := http.DefaultClient.Do(req)
if err != nil { panic(err) }
defer resp.Body.Close()
fmt.Println(resp.Status)
}Errors
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