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Run: 2026-07-25-01KYD5K9R2GYPJ9WDGTQYZB2Q5
Run Details
Model:
Laguna XS 2.1
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
6.3s
Cost:
$0.000102
Provider:
Poolside
Evaluation summary
Score
Evaluator
Details Link
60.65%
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
Messages
Meta
AI
The warm scent of cinnamon and yeast lingered in the air as Eleanor arranged scones on a rack. The bell above the door chimed, and Harold stepped in, his boots still dusted from the garden. “You’re early,”
she said
, reaching for a flour-dusted apron. “Had to pick up the usual. Mrs. Gable’s bake sale—” He paused, eyeing the display. “These look different.” “Different how?” “The glaze. It’s too thick. Like it’s been sitting out too long.” Harold picked up a muffin, inspecting it. “And where’s the lemon zest? You always add it.” Eleanor’s fingers tightened on the apron string. “Maybe I missed a batch.” “Missed? Eleanor, you’ve been baking those same muffins for twenty years. This one’s… off.” He set it down gently. “Like someone swapped the sugar for salt.” She didn’t answer. Instead, she reached for the register, her voice softer. “Tell me about the bake sale. What’s the theme this year?” Harold frowned. “Community. Unity. You know that. But the recipe card you gave Mrs. Gable—” He hesitated. “It had a note on the back. In your handwriting.” Eleanor’s knuckles went white. “I don’t remember writing that.” The oven behind her hummed, and somewhere, a door clicked shut.
created_at
"2026-07-25T17:36:34.571Z"
7/25/2026, 5:36:34 PM
model
"poolside/laguna-xs-2.1-20260625"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
310
moderation_latency
(null)
generation_time
5015
tokens_prompt
78
tokens_completion
902
native_tokens_prompt
82
native_tokens_completion
825
native_tokens_completion_images
(null)
native_tokens_reasoning
493
native_tokens_cached
80
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.00010152
router
(null)
provider_responses
0
endpoint_id
"089ec178-f6dc-4450-aff5-46f68798ce97"
id
"chatcmpl-4467d9d0e5c845dd9641caf7142bd20b"
is_byok
false
latency
310
model_permaslug
"poolside/laguna-xs-2.1-20260625"
provider_name
"Poolside"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1785000994-3ZWRuDTUqrjY00Sb9tpA"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1785000994-apIIqUFAQt15RfmY2l1B"
upstream_id
"chatcmpl-4467d9d0e5c845dd9641caf7142bd20b"
total_cost
0.00010152
cache_discount
0.000004
upstream_inference_cost
0
provider_name
"Poolside"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
60.65%
Count dialogue tags
n/a
neededClean
false
dialogueTags
0
"she said"