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Documentation Index

Fetch the complete documentation index at: https://docs.embedchain.ai/llms.txt

Use this file to discover all available pages before exploring further.

Get started with Helicone, the open-source LLM observability platform for developers to monitor, debug, and optimize their applications. To use Helicone, you need to do the following steps.

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Integration Steps

1

Create an account + Generate an API Key

Log into Helicone or create an account. Once you have an account, you can generate an API key.
Make sure to generate a write only API key.
2

Set base_url in the your code

You can configure your base_url and OpenAI API key in your codebase
import os
from embedchain import App

# Modify the base path and add a Helicone URL
os.environ["OPENAI_API_BASE"] = "https://oai.helicone.ai/{YOUR_HELICONE_API_KEY}/v1"
# Add your OpenAI API Key
os.environ["OPENAI_API_KEY"] = "{YOUR_OPENAI_API_KEY}"

app = App()

# Add data to your app
app.add("https://en.wikipedia.org/wiki/Elon_Musk")

# Query your app
print(app.query("How many companies did Elon found? Which companies?"))
3

Now you can see all passing requests through Embedchain in Helicone

Embedchain requests
Check out Helicone to see more use cases!