Can I extract specific parts from JSON responses?

Absolutely. Request supports JSONPath queries, allowing you to precisely extract specific fields or sub-objects from optimized JSON payloads. This ensures your LLM only consumes the exact data it needs.

What is Request and how does it help LLMs?

Request is a high-efficiency tool that optimizes web and API data before it reaches your Large Language Model (LLM), drastically reducing token consumption by 58-87%. This saves on costs, latency, and improves reasoning room.

How does Request clean and optimize data?

For HTML, it strips navigation, ads, scripts, and converts content to clean Markdown. For JSON, it applies schema-first mode for large arrays, removes nulls/empties, strips URL templates, and deduplicates sub-objects.

Does Request offer web search functionality?

Yes, Request includes a web search feature powered by DuckDuckGo. This functionality requires no API keys, making it easy to integrate for your LLM's data gathering needs.

What kind of token savings can I expect with Request?

Based on benchmarks, Request can reduce token consumption by 58% for HTML content and up to 87% for JSON data. This translates to significant cost savings on popular LLM pricing tiers.

Request: Optimize LLM Token Consumption for Web & API Data

Request acts as a high-efficiency networking layer for LLMs, intelligently processing web and API responses before they reach an agent's context window. It drastically reduces token consumption and associated costs by stripping noise from HTML (converting to clean Markdown) and JSON (implementing schema-first modes, removing nulls/empties, and deduplicating sub-objects). The tool provides capabilities for optimized web fetching, web searching via DuckDuckGo, CSS-based content extraction, and versatile JSON optimization, including support for JSONPath to surgically extract specific data.

주요 기능

01Reduces LLM token consumption by 58-87% through optimized web and API data processing.

02Optimizes JSON with features like schema-first mode for large arrays, null/empty removal, and sub-object deduplication.

03Provides web search functionality powered by DuckDuckGo, requiring no API keys.

04Enables precise data extraction from JSON payloads using JSONPath queries.

050 GitHub stars

06Cleans HTML content by converting it to Markdown and stripping navigation, ads, and scripts.

07Offers a command-line interface (CLI) for standalone JSON optimization and savings tracking.

사용 사례

01Minimizing token costs and improving latency for LLM agents interacting with external web resources and APIs.

02Empowering LLM agents to fetch and reason over large, noisy datasets from websites and APIs more efficiently.

03Streamlining JSON data ingestion for LLMs by pre-processing and extracting only relevant information.

04Curating specific content from web pages using CSS selectors for targeted LLM analysis.