Text Summarizer

name: text-summarizer description: Advanced text summarization and translation service with async processing capabilities. Use when users need to: (1) Summarize large text datasets from CSV/DataFrame, (2) Batch process text documents with length-based intelligent routing, (3) Translate shorter text content, (4) Configure custom processing parameters for text analysis workflows, (5) Handle text processing tasks requiring async operations for performance.

Text Summarizer

Intelligent text processing service that automatically determines whether to summarize or translate content based on configurable length thresholds, with async batch processing capabilities.

Core Functionality

Use scripts/text_summarizer.py for bulk text processing operations:

• Smart routing: Texts above length threshold ? summarization; texts below ? translation
• Async processing: Efficient batch operations with concurrent API calls
• Flexible input: Process pandas DataFrames or CSV files
• Configurable: Adjustable length thresholds, model selection, temperature settings

Quick Start

Process a DataFrame with default settings:

uv run scripts/text_summarizer.py --input data.csv --text-column content --output results.csv

Advanced Configuration

Custom length threshold (default: 500 words):

uv run scripts/text_summarizer.py --input data.csv --length 1000 --text-column review

Model selection (default: gpt-4.1):

uv run scripts/text_summarizer.py --input data.csv --model gpt-4o-mini --temperature 0.3

API Reference

For programmatic usage and advanced customization, see API_REFERENCE.md for complete NotesSummarizer class documentation.

Error Handling

• Missing dependencies: Ensure LangChain, pandas, and OpenAI libraries are installed
• API limits: Script handles retries automatically with exponential backoff
• File access: Verify input file paths and write permissions for output files
• Column names: Specify correct text column name with --text-column parameter

Environment Requirements

• Python 3.11+
• OpenAI API key configured
• Required packages: langchain, pandas, tqdm, numpy