Friendli AI

FriendliAI enhances AI application performance and optimizes cost savings with scalable, efficient deployment options, tailored for high-demand AI workloads.

Installation and setup

Install the friendli-client python package.

pip install -U langchain_community friendli-client

Sign in to Friendli Suite to create a Personal Access Token, and set it as the FRIENDLI_TOKEN environment variabzle.

Chat models

See a usage example.

from langchain_community.chat_models.friendli import ChatFriendli

chat = ChatFriendli(model='meta-llama-3.1-8b-instruct')

for m in chat.stream("Tell me fun things to do in NYC"):
    print(m.content, end="", flush=True)

API Reference:ChatFriendli

LLMs

See a usage example.

from langchain_community.llms.friendli import Friendli

llm = Friendli(model='meta-llama-3.1-8b-instruct')

print(llm.invoke("def bubble_sort(): "))

API Reference:Friendli