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langchain/docs/versioned_docs/version-0.2.x/integrations/providers/helicone.mdx
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# Helicone
This page covers how to use the [Helicone](https://helicone.ai) ecosystem within LangChain.
## What is Helicone?
Helicone is an [open-source](https://github.com/Helicone/helicone) observability platform that proxies your OpenAI traffic and provides you key insights into your spend, latency and usage.
![Screenshot of the Helicone dashboard showing average requests per day, response time, tokens per response, total cost, and a graph of requests over time.](/img/HeliconeDashboard.png "Helicone Dashboard")
## Quick start
With your LangChain environment you can just add the following parameter.
```bash
export OPENAI_API_BASE="https://oai.hconeai.com/v1"
```
Now head over to [helicone.ai](https://www.helicone.ai/signup) to create your account, and add your OpenAI API key within our dashboard to view your logs.
![Interface for entering and managing OpenAI API keys in the Helicone dashboard.](/img/HeliconeKeys.png "Helicone API Key Input")
## How to enable Helicone caching
```python
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(text))
```
[Helicone caching docs](https://docs.helicone.ai/advanced-usage/caching)
## How to use Helicone custom properties
```python
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(text))
```
[Helicone property docs](https://docs.helicone.ai/advanced-usage/custom-properties)