Documentation Index
Fetch the complete documentation index at: https://docs.langchain.com/llms.txt
Use this file to discover all available pages before exploring further.
This page covers how to use the Helicone ecosystem within LangChain.
What is helicone?
Helicone is an open-source observability platform that proxies your OpenAI traffic and provides you key insights into your spend, latency and usage.
Quick start
With your LangChain environment you can just add the following parameter.
export OPENAI_API_BASE="https://oai.hconeai.com/v1"
How to enable helicone caching
from langchain_openai import OpenAI
import openai
openai.api_base = "https://oai.hconeai.com/v1"
llm = OpenAI(temperature=0.9, headers={"Helicone-Cache-Enabled": "true"})
text = "What is a helicone?"
print(llm.invoke(text))
How to use helicone custom properties
from langchain_openai import OpenAI
import openai
openai.api_base = "https://oai.hconeai.com/v1"
llm = OpenAI(temperature=0.9, headers={
"Helicone-Property-Session": "24",
"Helicone-Property-Conversation": "support_issue_2",
"Helicone-Property-App": "mobile",
})
text = "What is a helicone?"
print(llm.invoke(text))
