LlamaIndex LLM Integration: Stepfun

Installation

To install the required packages, run:

%pip install llama-index-llms-stepfun
!pip install llama-index

Setup

Initialize StepFun LLM

First, import the necessary libraries and set up your StepFun instance. Replace step-1v-8k, and TOKEN with your model name, and API key, respectively:

import os
from typing import List, Optional
from llama_index.llms.stepfun import StepFun
from llama_index.core.llms import ChatMessage

llm = StepFun(
    api_key="TOKEN",
    max_tokens=256,
    context_window=4096,
    model="step-1v-8k",
)

Chat Functionality

StepFun supports chat APIs, allowing you to handle conversation-like interactions. Here’s how to use it:

from llama_index.llms.stepfun import StepFun
from llama_index.core.llms import ChatMessage

llm = StepFun(
    api_key="",
    max_tokens=256,
    context_window=4096,
    model="step-1v-8k",
)


message = ChatMessage(role="user", content="Tell me a joke")
resp = llm.chat([message])
print(resp)

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