QWED Protocol: Deterministic Verification for Large Language Models

🦜 Native LangChain Integration - Platform Partner Model QWED v2.3.0 brings first-party LangChain support as an independent platform partner - following the same model as OpenAI, Anthropic, and Google. 🎯 What's New Native LangChain Integration ✅ qwed_sdk/integrations/langchain module ✅ QWEDTool with BaseTool interface ✅ Optional dependency: pip install 'qwed[langchain]' ✅ Full ownership & control - no gatekeepers! 📦 Installation pip install --upgrade 'qwed[langchain] 🚀 Quick Start from qwed_sdk.integrations.langchain import QWEDTool from langchain.agents import initialize_agent from langchain_openai import ChatOpenAI tool = QWEDTool(provider="openai", model="gpt-4o-mini") llm = ChatOpenAI() agent = initialize_agent(tools=[tool], llm=llm) agent.run("Verify: what is the derivative of x^2?") # ✅ VERIFIED: 2*x (100% confidence) 🔗 Combine with v2.2.0 Features # Enterprise privacy + LangChain tool = QWEDTool(provider="openai", mask_pii=True) 📊 What's Included Native LangChain BaseTool integration Graceful dependency handling Pydantic input schemas Async support Comprehensive error messages PyPI: https://pypi.org/project/qwed/2.3.0/ Docs: https://github.com/QWED-AI/qwed-verification#-llm-framework-integrations Full Changelog: https://github.com/QWED-AI/qwed-verification/compare/v2.2.0...v2.3.0