Return combined LLM and Droyd sandbox usage for one evaluation.
curl --request GET \
--url https://api.example.com/v1/evaluations/{id}/usage \
--header 'Authorization: Bearer <token>'import requests
url = "https://api.example.com/v1/evaluations/{id}/usage"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};
fetch('https://api.example.com/v1/evaluations/{id}/usage', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));{
"ok": true
}{
"ok": false,
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"ok": false,
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"ok": false,
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"ok": false,
"error": {
"code": "<string>",
"message": "<string>"
}
}Usage
Get Evaluation Usage
Return combined LLM and Droyd sandbox usage for an evaluation.
GET
/
v1
/
evaluations
/
{id}
/
usage
Return combined LLM and Droyd sandbox usage for one evaluation.
curl --request GET \
--url https://api.example.com/v1/evaluations/{id}/usage \
--header 'Authorization: Bearer <token>'import requests
url = "https://api.example.com/v1/evaluations/{id}/usage"
headers = {"Authorization": "Bearer <token>"}
response = requests.get(url, headers=headers)
print(response.text)const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};
fetch('https://api.example.com/v1/evaluations/{id}/usage', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));{
"ok": true
}{
"ok": false,
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"ok": false,
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"ok": false,
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"ok": false,
"error": {
"code": "<string>",
"message": "<string>"
}
}Use this route to inspect the combined usage record for one evaluation. It
returns LLM and Droyd sandbox summaries with redacted event detail, making it
useful for comparing runs without exposing credentials or model input/output.
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