Minimax integration

Integrate with the Minimax LLM using LangChain Python.

Minimax is a Chinese startup that provides natural language processing models for companies and individuals.

This example demonstrates using LangChain to interact with Minimax.

Setup

To run this notebook, you’ll need a Minimax account, an API key, and a Group ID

Single model call

from langchain_community.llms import Minimax

# Load the model
minimax = Minimax(minimax_api_key="YOUR_API_KEY", minimax_group_id="YOUR_GROUP_ID")

# Prompt the model
minimax("What is the difference between panda and bear?")

Chained model calls

# get api_key and group_id: https://api.minimax.chat/user-center/basic-information
# We need `MINIMAX_API_KEY` and `MINIMAX_GROUP_ID`

import os

os.environ["MINIMAX_API_KEY"] = "YOUR_API_KEY"
os.environ["MINIMAX_GROUP_ID"] = "YOUR_GROUP_ID"

from langchain_classic.chains import LLMChain
from langchain_community.llms import Minimax
from langchain_core.prompts import PromptTemplate

template = """Question: {question}

Answer: Let's think step by step."""

prompt = PromptTemplate.from_template(template)

llm = Minimax()

llm_chain = LLMChain(prompt=prompt, llm=llm)

question = "What NBA team won the Championship in the year Jay Zhou was born?"

llm_chain.run(question)

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