Run: 2026-03-18-01KM07WPA74QEJ9BVSZ5RSC485

Run Details

Duration:
1.7s
Cost:
$0.000372
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
0.00% Count dialogue tags (details)

Model input

User/Human
You are an expert novel writer in the cozy mystery genre. Write a scene of about 200 words, with dialogue between two characters. The dialogue should be unattributed, meaning the speaker is not explicitly mentioned. The scene should be set in a small town bakery. Only return the story, nothing else.

Model response

AI
The cinnamon rolls steamed in the window case like golden clouds, and the bell above the door gave a cheerful chime that didn’t quite match the tense silence at the counter. “Tell me you didn’t see him again.” “I didn’t,” she said, tugging her apron tighter. “But the baker’s ledger is missing, and the lock on the back cupboard was jimmied.” A customer in a tan coat hovered near the display, pretending to study the scones. “Who would do that?” “Someone who knows the schedule,” the second voice replied. “Who knows we count inventory after closing.” “I can’t believe it,” she murmured, eyeing the empty spot on the shelf where flour used to sit. “He swore he was just here for a donation for the school fair.” “He swore a lot of things.” The tray spatters on his hands told the truth—someone had been messing with more than dough. “Still smells like peppery cologne, too.” “Maybe he left it behind.” “Or maybe he wanted us to check the wrong shelf while he took the ledger.” The bell jingled again. “Then we should check the receipt book,” she said quickly. “Before anyone else comes in.” “Good,” he replied, sliding the cash drawer open with careful fingers. “Let’s start with what’s missing—and who paid in a hurry.”
created_at"2026-03-18T10:29:33.655Z" 3/18/2026, 10:29:33 AM
model"openai/gpt-5.4-nano-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency478
moderation_latency(null)
generation_time1537
tokens_prompt81
tokens_completion354
native_tokens_prompt67
native_tokens_completion287
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.00037215
router(null)
provider_responses
0
endpoint_id"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id"resp_05f53df418d55f070169ba7e8db9f08196928ecd7ec1ad1c75"
is_byokfalse
latency222
model_permaslug"openai/gpt-5.4-nano-20260317"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773829773-XbXJSjVYY9mw5sMvSiTs"
upstream_id"resp_05f53df418d55f070169ba7e8db9f08196928ecd7ec1ad1c75"
total_cost0.00037215
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
0.00% Count dialogue tags n/a
neededCleanfalse
dialogueTags
0"she said"
1"voice replied"
2"she murmured"
3"his hands told"
4"she said quickly"
5"he replied"