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 format.

✨ Features

• ⏱ Parse natural language time expressions, such as:
  • "next Monday"
  • "last quarter"
  • "Q3 2023"
• 🌐 Supports custom time zones via the parameter (e.g., , )
• 📆 Returns standardized start and end dates, e.g., to
• 🤖 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 input must be a time-related phrase or keyword only, not a full sentence.
  • ✔️ Valid: , ,
  • ❌ Invalid: ,
• 🌍 The (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.