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LangChain – Models
LangChain – Models Table Of Contents: What Is A Model ? Basic Uses Of Model. Parameters To The Model Model Invocation Tool Calling Structured Output Model Profilling Multimodal Model Reasoning Model Local Models Prompt Catching Server Side Tool Uses Rate Limiting Base URL & Proxy Setting Log Probabilities Token Uses Model Invocation Config Configurable Model Dynamic Model Selection (1) What Is A Model ? (2) Basic Uses Of Model. pip install -U "langchain[openai]" import os from langchain.chat_models import init_chat_model os.environ["OPENAI_API_KEY"] = "sk-…" model = init_chat_model("gpt-5.5") response = model.invoke("How Are You Doing?") (3) Model Parameters model = init_chat_model( model = "qwen3:0.6b",
