Run: 2026-04-24-01KQ0GE9ZV54HZ5ZYQA863Z5CK

Run Details

Duration:
15.2s
Cost:
$0.027315
Provider:
Amazon Bedrock

Evaluation summary

Score Evaluator
Details Link
0.21% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
0.1071% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.

Model response

AI
The back booth of Denny's had seen better plans. It had also seen better pancakes, but Molly wasn't here for the pancakes. She was here because Bill had called her at 6 a.m. with what he described as "the score of a lifetime," which, knowing Bill, meant either a bank vault or a vending machine. It was, she discovered, neither. "A birthday party," she said flatly. Bill slid a crayon drawing across the table. It appeared to be a blueprint, rendered in Burnt Sienna on the back of a kids' menu. A lopsided rectangle marked HOUSE. A smaller rectangle marked LOOT PILE. A stick figure in a cone hat marked, presumably, the enemy. "Not just any birthday party," Bill said. "Tanner Willoughby is turning seven." "And?" "And his dad owns three car dealerships. Kid's getting a Nintendo Switch, a drone, and, according to my source, an actual pony." Molly stirred her coffee. "Your source." "The clown." "You have a clown informant." "Marcelo owes me four hundred dollars and his dignity." She exhaled through her nose, which was the closest Molly came to laughing before noon. The drawing really was terrible. There was a dog labeled DOG, and next to it, an arrow pointing to a smaller dog labeled ALSO DOG. "Why are there two dogs?" "There's two dogs." "Bill." "We go in during the piñata," he said, tapping the menu with authority. "Twelve kids swinging a bat blindfolded, nobody's watching the gift table. Marcelo makes balloon animals, I come in the side gate dressed as Uncle Kevin—" "Who is Uncle Kevin?" "Every family has an Uncle Kevin. Nobody questions Uncle Kevin." He had a point, which was the most alarming thing about Bill. Half his ideas were arrests waiting to happen, and the other half were, irritatingly, correct. "What's my role?" she asked. "Minivan. You pull up, hazards on, say you're the Instacart lady. I toss the presents in the back, we go. Twenty-minute job. Two-hundred-grand retail, minimum." "Retail on a pony is not two hundred grand." "Fine. Ponyless, it's still six figures if we flip the electronics on Facebook Marketplace." Molly leaned back. Across the restaurant, a toddler was systematically destroying a basket of creamer cups. She watched him with the professional respect of one artist for another. "The parents will be there," she said. "Other parents. Grandparents. At least one uncle who was a cop." "That's why we go in smiling. Nobody suspects a guy holding a casserole." "You're bringing a casserole." "I'm bringing the casserole. The casserole is the alibi." She looked down at the crayon blueprint again. At the LOOT PILE. At the ALSO DOG. At her entire adult life, really, which had led, inexorably, to this sticky vinyl booth. "Fine," Molly said. "But if there's a bounce house, we're taking that too." Bill grinned. "That's my girl."
created_at"2026-04-24T19:46:04.927Z" 4/24/2026, 7:46:04 PM
model"anthropic/claude-4.7-opus-20260416"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency670
moderation_latency(null)
generation_time15136
tokens_prompt77
tokens_completion750
native_tokens_prompt98
native_tokens_completion1073
native_tokens_completion_images(null)
native_tokens_reasoning0
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"end_turn"
usage0.027315
router(null)
provider_responses
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endpoint_id"0fa65117-00d9-4835-808d-9b68041d9ce4"
id"e0051b41-1c7a-4813-9895-0243b4e3ada0"
is_byokfalse
latency669
model_permaslug"anthropic/claude-4.7-opus-20260416"
provider_name"Amazon Bedrock"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777059964-oi9JycypKWMA407ZolLI"
session_id(null)
api_type"completions"
id"gen-1777059964-fhobgyYxJ6v4S5SG59Bb"
upstream_id"e0051b41-1c7a-4813-9895-0243b4e3ada0"
total_cost0.027315
cache_discount(null)
upstream_inference_cost0
provider_name"Amazon Bedrock"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
0.21% Matches word count n/a
neededCleanfalse
words472
0.00% Dialogue to Total Word Ratio
Ratio: 47.37%, Deviation: 17.37%
neededCleanfalse
wordsTotal475
wordsDialogue225
0.1071%