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🧊 Helicone

embedchain/docs/integration/helicone.mdx

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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.

Integration Steps

<Steps> <Step title="Create an account + Generate an API Key"> Log into [Helicone](https://www.helicone.ai) or create an account. Once you have an account, you can generate an [API key](https://helicone.ai/developer).
<Note>
  Make sure to generate a [write only API key](helicone-headers/helicone-auth).
</Note>
</Step> <Step title="Set base_url in the your code"> You can configure your base_url and OpenAI API key in your codebase <CodeGroup>
python
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?"))
</CodeGroup> </Step> <Step title="Now you can see all passing requests through Embedchain in Helicone"> </Step> </Steps>

Check out Helicone to see more use cases!