{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"}],"enrichment":{"capability":"GPTCache provides semantic caching for LLM API calls, storing and retrieving responses based on exact or semantic similarity matching to reduce API costs and latency.","skillfed_tags":["llm-optimization","vector-caching","api-cost-reduction"],"use_cases":["Cache exact-match queries to OpenAI's ChatCompletion API to avoid redundant API calls and reduce monthly costs.","Implement semantic similarity matching so that paraphrased or slightly different versions of the same question return cached answers.","Reduce latency for high-traffic chatbot applications by serving cached responses instead of waiting for LLM API responses.","Store embeddings and responses in a persistent vector database (e.g., SQLite + FAISS) to maintain cache across application restarts.","Control cache behavior with temperature parameters to balance between cache hits and fresh LLM responses."],"what_it_does":"GPTCache is a caching layer for large language model (LLM) API calls that intercepts queries and returns cached responses when an exact or semantically similar question has been asked before. It works by embedding queries into a vector space and comparing them against stored responses, allowing you to skip expensive API calls for repeated or similar questions.\n\nThe library integrates with OpenAI's API (and supports a generic get/set adapter for other LLM providers) and can be configured with different embedding models, vector databases (e.g., FAISS), and similarity evaluation strategies. It depends on numpy, cachetools, and requests for its core functionality, though additional optional dependencies are installed on demand for features like semantic embedding and vector storage.","worth_installing":"Yes, with conditions. GPTCache is worth installing if you run high-volume LLM applications and want to reduce API costs and latency through caching. However, be aware that the project is aging (last release August 2024, no commits since July 2025), two security vulnerabilities are known, and the API is explicitly subject to change. Verify the current status of those vulnerabilities and test thoroughly in a staging environment before production use."},"id":"gptcache","links":{"html":"https://skillfed.io/packages/gptcache","md":"https://skillfed.io/packages/gptcache.md","pypi":"https://pypi.org/project/gptcache/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2024-08-01","license_spdx":null,"license_treatment":"permissive","name":"gptcache","python_support":"supports_current","summary":"GPTCache, a powerful caching library that can be used to speed up and lower the cost of chat applications that rely on the LLM service. GPTCache works as a memcache for AIGC applications, similar to how Redis works for traditional applications."},"popularity":{"monthly_downloads":450827,"position":6589,"tier":"top_15000"},"security":{"n_vulnerabilities":2},"version":"0.1.44"}