Connect CLōD to LangChain

Use CLōD as the LLM provider in any LangChain chain or agent — fully OpenAI-compatible.

Overview

LangChain is the most widely-used framework for building LLM-powered applications. Since CLōD is OpenAI-compatible, you only need to swap the base_url and api_key — all LangChain chains, agents, tools, and memory modules work without changes.

Prerequisites

• CLōD account — free at app.clod.io
• LangChain installed
• CLōD API key (Dashboard → API Keys → Generate)

Setup

Step 1: Install dependencies

pip install langchain langchain-openai openai

Step 2: Configure CLōD as your LLM

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    model="meta-llama/Llama-4-Scout-17B-16E-Instruct",
    api_key="your_clod_api_key",
    base_url="https://api.clod.io/v1",
)

# Use in any chain
from langchain_core.messages import HumanMessage
response = llm.invoke([HumanMessage(content="Hello!")])
print(response.content)

Step 3: Use with chains and agents

from langchain.chains import LLMChain
from langchain_core.prompts import PromptTemplate

prompt = PromptTemplate.from_template("Answer: {question}")
chain = LLMChain(llm=llm, prompt=prompt)
result = chain.run(question="What is energy-aware routing?")
print(result)

Available Models

CLōD supports 50+ models. For agentic tools, use models that support tool calling / function calling.

Browse models →

Need help?

Discord · Docs