Run: 2026-11-11-01M75PVRABCVZC45F8QA162YFW

Run Details

Duration:
24.5s
Cost:
$0.017376
Provider:
Google AI Studio

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 brass bell above the bakery door jingled, letting a draft of crisp autumn air mingle with the warm scent of cinnamon and dark roast. Outside, Maple Street was waking up, mostly unaware of the yellow crime tape fluttering three blocks over. "A blueberry scone, please, and tell me everything." "Keep your voice down. Sheriff Miller just left." "Did he buy a bear claw?" "Two. That only happens when there’s foul play. He asked if Arthur Pendelton came in yesterday morning." "Right before Arthur was found face-down in his prize-winning petunias?" "Precisely. Do you want butter, or just the gossip?" "Both, obviously. Was Arthur here?" "Seven sharp, like clockwork. Except instead of his usual sourdough, he bought two chocolate éclairs." "Arthur was allergic to chocolate." "Exactly. Which means he was entertaining a guest with a sweet tooth." "A secret breakfast date? Scandalous." "Deadly, more like. Whoever ate those éclairs at seven-thirty likely poisoned his Earl Grey by eight. That’ll be four-fifty." "Keep the change. Consider it a contribution to your bail fund when the Sheriff catches you withholding evidence." "I’m not withholding. I’m just letting the facts proof before I bake a theory." A white paper bag crinkled as it slid across the flour-dusted counter, sealing the pact.
created_at"2026-11-11T16:25:38.39Z" 11/11/2026, 4:25:38 PM
model"google/gemini-4-carbon-20261110"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4525
moderation_latency(null)
generation_time24499
tokens_prompt78
tokens_completion815
native_tokens_prompt98
native_tokens_completion1718
native_tokens_completion_images0
native_tokens_reasoning1407
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"STOP"
service_tier"default"
usage0.017376
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.2; linux; x64))"
http_referer(null)
request_id"req-1794414338-BQ1QPcmhmHO5UuAPjC0r"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1794414338-Kvo45SjkDIdVyMNjBPVx"
upstream_id"Apf0asDiIuvdytMP9arg0A4"
provider_responses
0
endpoint_id"f0c9681d-e99b-4bcb-8031-752429da222d"
id"Apf0asDiIuvdytMP9arg0A4"
is_byokfalse
latency4525
model_permaslug"google/gemini-4-carbon-20261110"
provider_name"Google AI Studio"
status200
total_cost0.017376
cache_discount(null)
upstream_inference_cost0
provider_name"Google AI Studio"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

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