{"library":"openevals","type":"library","category":null,"description":"OpenEvals is an open-source Python library providing ready-made evaluators for Large Language Model (LLM) applications. It offers a structured approach to LLM evaluation, similar to traditional software testing, with built-in functionalities like LLM-as-judge evaluators and prebuilt prompts for common evaluation scenarios such as correctness, conciseness, and hallucination detection. Developed by LangChain, it aims to streamline the process of bringing LLM applications to production by making evaluation more accessible and transparent. The current version is 0.2.0, with ongoing development and updates.","language":"python","status":"active","version":"0.2.0","tags":["LLM","evaluation","AI","LangChain","testing","prompt-engineering"],"install":[{"cmd":"pip install openevals","imports":["from openevals.llm import create_llm_as_judge","from openevals.prompts import CORRECTNESS_PROMPT","from openevals.prompts import CONCISENESS_PROMPT","from openevals.prompts import HALLUCINATION_PROMPT"]}],"homepage":null,"github":null,"docs":null,"changelog":null,"pypi":"https://pypi.org/project/openevals/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":11.7,"avg_import_s":2.5,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/openevals/compatibility"},"provenance":{"verified_status":"passing","verified_at":"Sun Jun 28","last_verified":"Sun Jun 28","next_check":"Tue Jul 28","install_tag":null}}