Run: 2026-04-24-01KQ0PYNGRWQD3NVMJR4H7PVGA

Run Details

Duration:
12.5s
Cost:
$0.010535
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% 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 bell over the bakery door gave its usual cheerful jangle, though the morning felt anything but cheerful. Rain streaked the front window, blurring the painted letters of Buttercup Bakery, and the scent of cinnamon rolls hung warm and sweet over the empty tables. “You’re early.” “So was the police chief.” “That’s not something you say before coffee.” “He asked about the cherry turnovers from yesterday.” “Half the town bought cherry turnovers yesterday.” “Not the one with the silver button baked into it.” The oven ticked softly behind the counter. A tray of scones cooled beside a flour-dusted rolling pin. “A button?” “From a man’s cuff. Monogrammed. H.W.” “Harlan Whitcomb.” “That was my thought.” “Harlan hasn’t worn cufflinks since the church picnic scandal.” “Maybe someone wanted us to think of him.” “Or maybe someone lost a button while hiding something in my kitchen.” The rain tapped harder, and somewhere in the back, the old mixer creaked as if settling into the silence. “I found this under the sugar sacks.” “That’s a library card.” “Belonging to Miss Pruitt.” “The librarian who swore she never eats sweets?” “Especially not cherry turnovers.” “Well, butter my biscuits.” “Exactly.” “We’re going to the library.” “After coffee.” “And cinnamon rolls.” “Two.” “Three. Detecting is hungry work.”
created_at"2026-04-24T21:39:52.489Z" 4/24/2026, 9:39:52 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3984
moderation_latency(null)
generation_time12418
tokens_prompt81
tokens_completion535
native_tokens_prompt67
native_tokens_completion340
native_tokens_completion_images0
native_tokens_reasoning46
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.010535
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_032d0c91672ecc400169ebe328909c81978cd070143e0c0456"
is_byokfalse
latency248
model_permaslug"openai/gpt-5.5-20260423"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777066792-sv3avocoESek5g03glsG"
session_id(null)
api_type"completions"
id"gen-1777066792-0jxtk4Bbr0CWdyWR77WQ"
upstream_id"resp_032d0c91672ecc400169ebe328909c81978cd070143e0c0456"
total_cost0.010535
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Count dialogue tags n/a
neededCleanfalse
dialogueTags(empty)