langchain-models

What problem does it solve?

This Skill simplifies the initialization and utilization of LangChain chat models, abstracting away the complexities of provider-specific configurations and API interactions.

Core Features & Use Cases

• Unified Model Initialization: Easily set up chat models from various providers (OpenAI, Anthropic, Google, etc.) using a single function or provider-specific classes.
• Flexible Invocation: Supports direct invoke(), streaming stream(), and batch processing batch() of messages.
• Configuration Options: Allows customization of parameters like temperature, max tokens, and stop sequences.
• Use Case: Quickly switch between different LLM providers for testing or to leverage specific model strengths (e.g., using Claude for long context or Gemini for speed) within your LangChain applications.

Quick Start

Initialize a LangChain chat model for OpenAI's GPT-4.1 and invoke it with a simple text prompt.