ComponentsLLMsForefrontAIOn this pageForefrontAIThe Forefront platform gives you the ability to fine-tune and use open source large language models.This notebook goes over how to use Langchain with ForefrontAI.Imports​import osfrom langchain.llms import ForefrontAIfrom langchain.prompts import PromptTemplatefrom langchain.chains import LLMChainSet the Environment API Key​Make sure to get your API key from ForefrontAI. You are given a 5 day free trial to test different models.# get a new token: https://docs.forefront.ai/forefront/api-reference/authenticationfrom getpass import getpassFOREFRONTAI_API_KEY = getpass()os.environ["FOREFRONTAI_API_KEY"] = FOREFRONTAI_API_KEYCreate the ForefrontAI instance​You can specify different parameters such as the model endpoint url, length, temperature, etc. You must provide an endpoint url.llm = ForefrontAI(endpoint_url="YOUR ENDPOINT URL HERE")Create a Prompt Template​We will create a prompt template for Question and Answer.template = """Question: {question}Answer: Let's think step by step."""prompt = PromptTemplate(template=template, input_variables=["question"])Initiate the LLMChain​llm_chain = LLMChain(prompt=prompt, llm=llm)Run the LLMChain​Provide a question and run the LLMChain.question = "What NFL team won the Super Bowl in the year Justin Beiber was born?"llm_chain.run(question)PreviousFireworksNextGCP Vertex AIImportsSet the Environment API KeyCreate the ForefrontAI instanceCreate a Prompt TemplateInitiate the LLMChainRun the LLMChain