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Co-authored-by: jacoblee93 <jacoblee93@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
54 lines
1.5 KiB
Plaintext
54 lines
1.5 KiB
Plaintext
# Helicone
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This page covers how to use the [Helicone](https://helicone.ai) ecosystem within LangChain.
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## What is Helicone?
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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.
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## Quick start
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With your LangChain environment you can just add the following parameter.
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```bash
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export OPENAI_API_BASE="https://oai.hconeai.com/v1"
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```
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Now head over to [helicone.ai](https://helicone.ai/onboarding?step=2) to create your account, and add your OpenAI API key within our dashboard to view your logs.
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## How to enable Helicone caching
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```python
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from langchain.llms import OpenAI
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import openai
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openai.api_base = "https://oai.hconeai.com/v1"
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llm = OpenAI(temperature=0.9, headers={"Helicone-Cache-Enabled": "true"})
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text = "What is a helicone?"
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print(llm(text))
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```
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[Helicone caching docs](https://docs.helicone.ai/advanced-usage/caching)
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## How to use Helicone custom properties
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```python
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from langchain.llms import OpenAI
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import openai
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openai.api_base = "https://oai.hconeai.com/v1"
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llm = OpenAI(temperature=0.9, headers={
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"Helicone-Property-Session": "24",
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"Helicone-Property-Conversation": "support_issue_2",
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"Helicone-Property-App": "mobile",
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})
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text = "What is a helicone?"
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print(llm(text))
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```
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[Helicone property docs](https://docs.helicone.ai/advanced-usage/custom-properties)
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