llama-index llms novita integration
Project description
LlamaIndex Llms Integration: NovitaAI
Installation
%pip install llama-index-llms-novita
Select Model
Large Language Models: https://novita.ai/llm-api?utm_source=github_llama_index&utm_medium=github_readme&utm_campaign=link
Basic usage
# Import NovitaAI
from llama_index.llms.novita import NovitaAI
# Set your API key
api_key = "Your API KEY"
# Call complete function
response = NovitaAI(
model="meta-llama/llama-3.1-8b-instruct", api_key=api_key
).complete("who are you")
print(response)
# Call complete with stop
response = NovitaAI(
model="meta-llama/llama-3.1-8b-instruct", api_key=api_key
).complete(prompt="who are you", stop=["AI"])
print(response)
# Call chat with a list of messages
from llama_index.core.llms import ChatMessage
messages = [
ChatMessage(role="user", content="who are you"),
]
response = NovitaAI(
model="meta-llama/llama-3.1-8b-instruct", api_key=api_key
).chat(messages)
print(response)
Streaming: Using stream endpoint
from llama_index.llms.novita import NovitaAI
# Set your API key
api_key = "Your API KEY"
llm = NovitaAI(model="meta-llama/llama-3.1-8b-instruct", api_key=api_key)
# Using stream_complete endpoint
response = llm.stream_complete("who are you")
for r in response:
print(r.delta, end="")
# Using stream_chat endpoint
messages = [
ChatMessage(role="user", content="who are you"),
]
response = llm.stream_chat(messages)
for r in response:
print(r.delta, end="")
Function Calling
from datetime import datetime
from llama_index.core.tools import FunctionTool
from llama_index.llms.novita import NovitaAI
# Set your API key
api_key = "Your API KEY"
def get_current_time() -> dict:
"""Get the current time"""
return {"time": datetime.now().strftime("%Y-%m-%d %H:%M:%S")}
llm = NovitaAI(model="deepseek/deepseek_v3", api_key=api_key)
tool = FunctionTool.from_defaults(fn=get_current_time)
response = llm.predict_and_call([tool], "What is the current time?")
print(response)
NovitaAI Documentation
API Documentation: https://novita.ai/docs/guides/llm-api
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