Run: 2026-04-24-01KQ01VBTZMV8QXRSBTY5JAKJR

Run Details

Duration:
2m 28s
Cost:
$0.004271
Provider:
Z.AI

Evaluation summary

Score Evaluator
Details Link
Pass Contains a list of texts (details)

Model input

User/Human
Extract all valid email addresses from the text. Return them in a comma-separated list without spaces. Contact information: 1. John Doe - john.doe@example.com 2. Jane Smith - jane@smith-family.net 3. support@company.co.uk 4. info@subdomain.example.org 5. Invalid email: not.an.email.com 6. Another invalid: @missing-username.com

Model response

AI
To extract the valid email addresses from the given text, we can use a regular expression that matches the standard email format. The valid emails are those that follow the pattern: a sequence of allowed characters (letters, digits, dots, underscores, percent signs, plus signs, or hyphens) followed by the "@" symbol, then a domain name (which can include letters, digits, dots, or hyphens), and ending with a top-level domain (TLD) of at least two letters. ### Step-by-Step Solution: 1. **Pattern Definition**: The regex pattern `[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}` is used to identify valid email addresses. - `[a-zA-Z0-9._%+-]+`: Matches the username part (one or more allowed characters). - `@`: Matches the "@" symbol. - `[a-zA-Z0-9.-]+`: Matches the domain part (letters, digits, dots, or hyphens). - `\.[a-zA-Z]{2,}`: Matches the TLD (a dot followed by at least two letters). 2. **Extraction**: The regex searches the entire text and finds all matches. The invalid entries do not match this pattern: - `not.an.email.com` lacks an "@" symbol. - `@missing-username.com` has no characters before "@". 3. **Output**: The extracted emails are joined into a comma-separated string without spaces. ### Valid Emails Extracted: - `john.doe@example.com` - `jane@smith-family.net` - `support@company.co.uk` - `info@subdomain.example.org` ### Final Output: ``` john.doe@example.com,jane@smith-family.net,support@company.co.uk,info@subdomain.example.org ```
created_at"2026-04-24T15:31:04.173Z" 4/24/2026, 3:31:04 PM
model"z-ai/glm-4.5-air"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2102
moderation_latency(null)
generation_time147860
tokens_prompt89
tokens_completion3953
native_tokens_prompt86
native_tokens_completion3867
native_tokens_completion_images(null)
native_tokens_reasoning3563
native_tokens_cached2
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"
usage0.00427056
router(null)
provider_responses
0
endpoint_id"c8760514-8a81-4a73-ae2c-be4942ba93f3"
id"20260424233104583ccba87f184468"
is_byokfalse
latency2102
model_permaslug"z-ai/glm-4.5-air"
provider_name"Z.AI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777044664-piwzDUYsQNUmGuOgI91h"
session_id(null)
api_type"completions"
id"gen-1777044664-jowswpzZNFDWdt611Z54"
upstream_id"20260424233104583ccba87f184468"
total_cost0.00427056
cache_discount3.4e-7
upstream_inference_cost0
provider_name"Z.AI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
Pass Contains a list of texts
john.doe@example.com jane@smith-family.net support@company.co.uk info@subdomain.example.org
john.doe@example.comtrue
jane@smith-family.nettrue
support@company.co.uktrue
info@subdomain.example.orgtrue