text: EndpointSearxNG Search APISerpAPIShale ProtocolSingleStoreDBscikit-learnSlackspaCySpreedlyStarRocksStochasticAIStripeTairTelegramTigris2MarkdownTrelloTruLensTwitterTypesenseUnstructuredVectaraVespaWeights & BiasesWeatherWeaviateWhatsAppWhyLabsWikipediaWolfram AlphaWriterYeager.aiYouTubeZepZillizIntegrationsGrouped by providerHeliconeOn this pageHeliconeThis page covers how to use the Helicone ecosystem within LangChain.What is Helicone?â€‹Helicone is an open source observability platform that proxies your OpenAI traffic and provides you key insights into your spend, latency and usage.Quick startâ€‹With your LangChain environment you can just add the following parameter.export OPENAI_API_BASE="https://oai.hconeai.com/v1"Now head over to helicone.ai to create your account, and add your OpenAI API key within our dashboard to view your logs.How to enable Helicone cachingâ€‹from langchain.llms import OpenAIimport openaiopenai.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 docsHow to use Helicone custom propertiesâ€‹from langchain.llms import OpenAIimport openaiopenai.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":