nlp_time_trans · emploidai Marketplace
emploidai Marketplace
Add-onsAppletsPlugins
Search tools, teams, and capabilitiesPublish
MarketplacePluginsnlp_time_trans
Plugin
Limited listing

nlp_time_trans

by dendy · v0.0.1

return start date and end date mentioned in the time related words just like last week,last month,in "%Y-%m-%d" pattern

1.8k installsUpdated May 29, 2025
Publisher information is incomplete

This community listing does not yet include every recommended support, privacy, pricing, and permission disclosure. Review the available package permissions before installing.

Capabilities

Tools

Available inside your emploidai workspace after installation.

Data sources

Available inside your emploidai workspace after installation.

Category

tool

Version

0.0.1dendy

Requirements

Maximum memory 256MB

Pricing

Not disclosed by publisher

Security & access

Review before installing

CompatibleRequires emploidai 1.0.0+

Permissions

  • Uses endpoint capability
  • Uses model capability
  • Uses tool capability

Dependencies

No additional dependencies

Resources

Privacy policy
emploidai Marketplace

Discover capabilities. Review access. Install inside your workspace.

DocumentationSecuritySupportPrivacyTerms

nlp_time_trans

Author: dendy Version: 0.0.1 Type: tool

📅 Time Phrase Parser Plugin for Dify

This plugin is designed for the Dify platform to process natural language time-related phrases or keywords. It uses a large language model (LLM) to parse the input and return the corresponding start date and end date in the %Y-%m-%d format.

✨ Features

  • ⏱ Parse natural language time expressions, such as:
    • "next Monday"
    • "last quarter"
    • "Q3 2023"
  • 🌐 Supports custom time zones via the tz parameter (e.g., UTC-8, UTC+5)
  • 📆 Returns standardized start and end dates, e.g., 2023-07-01 to 2023-09-30
  • 🤖 Optional selection of the LLM model to use
  • 🧠 Understands both English and Chinese time phrases

🛠 How to Use

  1. Install this plugin inside your Dify application.
  2. In the plugin settings, choose the LLM model you want to use (e.g., GPT-4).
  3. Parse natural language time expressions

⚠️ Important Notes

  • ✅ The query input must be a time-related phrase or keyword only, not a full sentence.
    • ✔️ Valid: next Friday, 2024 Q1, Christmas
    • ❌ Invalid: I want to go next Friday, What does 2024 Q1 mean?
  • 🌍 The tz (timezone) field is optional but recommended for accurate date ranges across time zones.
  • ❌ This plugin does not extract date expressions from complex or full sentences.

📸 Plugin Screenshot

💡 Example Use Cases

  • Smart calendar assistants
  • Time range selectors for dashboards
  • AI-powered scheduling tools
  • Context-aware date parsing in chatbots
  • Applications with global users needing time zone awareness

📬 Contact

For questions or feedback, feel free to reach out to the plugin developer or leave a comment in the Dify plugin marketplace.