Run: 2026-04-24-01KQ00XY2J274KPP0A9F0Q9ZPB

Run Details

Duration:
1m 21s
Cost:
$0.003674
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 all valid email addresses from the given text and return them as a comma-separated list without spaces, we use a regular expression that matches standard email formats. The pattern `\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b` ensures: - **Username part**: Includes letters, digits, dots, underscores, %, +, and hyphens. - **Domain part**: Includes letters, digits, hyphens, and dots, ending with a TLD of at least two letters (e.g., `.com`, `.co.uk`). - **Word boundaries** (`\b`) prevent partial matches within words. Here's the step-by-step solution: ```python import re text = """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""" pattern = r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b' emails = re.findall(pattern, text) result = ",".join(emails) print(result) ``` **Output:** ``` john.doe@example.com,jane@smith-family.net,support@company.co.uk,info@subdomain.example.org ``` **Explanation:** - **Valid emails extracted**: - `john.doe@example.com` - `jane@smith-family.net` - `support@company.co.uk` - `info@subdomain.example.org` - **Invalid emails excluded**: - `not.an.email.com` (missing `@`). - `@missing-username.com` (empty username). The regex matches only valid emails, and the `join` method combines them into a comma-separated string without spaces.
created_at"2026-04-24T15:14:59.806Z" 4/24/2026, 3:14:59 PM
model"z-ai/glm-4.5-air"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2080
moderation_latency(null)
generation_time80467
tokens_prompt89
tokens_completion3244
native_tokens_prompt86
native_tokens_completion3325
native_tokens_completion_images(null)
native_tokens_reasoning2841
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"
usage0.00367436
router(null)
provider_responses
0
endpoint_id"c8760514-8a81-4a73-ae2c-be4942ba93f3"
id"20260424231500885cab0083de4c06"
is_byokfalse
latency2050
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-1777043699-30H3XkfpdJN8QQMjRWYn"
session_id(null)
api_type"completions"
id"gen-1777043699-Dimk2H8rv7nDh0AdHLie"
upstream_id"20260424231500885cab0083de4c06"
total_cost0.00367436
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