{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/7"}],"enrichment":{"capability":"Python client for querying and managing documents in H2OGPTe, an enterprise RAG platform that combines document ingestion, semantic search, and LLM-powered question-answering.","skillfed_tags":["rag","document-search","llm-client"],"use_cases":["Upload and query a collection of contracts or legal documents to extract specific terms or answer compliance questions.","Build a chatbot that answers questions about internal documentation or knowledge bases by ingesting and searching those documents.","Summarize multiple documents in a collection automatically using the document processing API.","Route queries to cost-optimized LLMs based on performance requirements and budget constraints.","Integrate LLM-powered Q&A into existing applications via the OpenAI-compatible REST API."],"what_it_does":"h2ogpte is a Python client for H2OGPTe, an enterprise retrieval-augmented generation (RAG) platform. It provides programmatic access to create collections, upload and ingest documents, and run semantic queries against those documents using large language models. The client supports both global and collection-specific API keys for different levels of access control, and it can route queries to different LLMs, apply cost controls, enforce structured outputs (JSON or classification), and enable vision-capable modes when needed.\n\nThe package is designed for developers building applications that need to combine private or proprietary documents with LLM capabilities\u2014for example, contract analysis, knowledge base Q&A, or document summarization. It handles the async communication layer via aiohttp and websockets, document parsing via beautifulsoup4 and lxml, and structured response formatting via pydantic. The client also provides an OpenAI-compatible API endpoint, allowing it to work with standard OpenAI client libraries.","worth_installing":"Yes, if you are building on H2OGPTe. The client is actively maintained, has low install friction, supports Python 3.8 through 3.12, and provides a complete interface to the platform's core features. The unclear license status and lack of public visibility into dependency availability warrant checking H2O's documentation before committing to a production deployment. No known security vulnerabilities."},"id":"h2ogpte","links":{"html":"https://skillfed.io/packages/h2ogpte","md":"https://skillfed.io/packages/h2ogpte.md","pypi":"https://pypi.org/project/h2ogpte/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"unclear","name":"h2ogpte","python_support":"supports_current","summary":"Client library for Enterprise h2oGPTe"},"popularity":{"monthly_downloads":210369,"position":9495,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.7.4"}