text: Skip to main contentğŸ¦œï¸�ğŸ”— LangChainDocsUse casesIntegrationsAPILangSmithJS/TS DocsCTRLKIntegrationsCallbacksChat modelsDocument loadersDocument transformersLLMsAI21Aleph AlphaAmazon API GatewayAnyscaleAzure OpenAIAzureML Online EndpointBananaBasetenBeamBedrockCerebriumAIChatGLMClarifaiCohereC TransformersDatabricksDeepInfraForefrontAIGoogle Cloud Platform Vertex AI PaLMGooseAIGPT4AllHugging Face HubHugging Face Local PipelinesHuggingface TextGen InferenceJSONFormerKoboldAI APILlama-cppCaching integrationsManifestModalMosaicMLNLP CloudoctoaiOpenAIOpenLLMOpenLMPetalsPipelineAIPredibasePrediction GuardPromptLayer OpenAIRELLMReplicateRunhouseSageMakerEndpointStochasticAITextGenTongyi QwenWriterMemoryRetrieversText embedding modelsAgent toolkitsToolsVector storesGrouped by providerIntegrationsLLMsGooseAIOn this pageGooseAIGooseAI is a fully managed NLP-as-a-Service, delivered via API. GooseAI provides access to these models.This notebook goes over how to use Langchain with GooseAI.Install openaiâ€‹The openai package is required to use the GooseAI API. Install openai using pip3 install openai.$ pip3 install openaiImportsâ€‹import osfrom langchain.llms import GooseAIfrom langchain import PromptTemplate, LLMChainSet the Environment API Keyâ€‹Make sure to get your API key from GooseAI. You are given $10 in free credits to test different models.from getpass import getpassGOOSEAI_API_KEY = getpass()os.environ["GOOSEAI_API_KEY"] = GOOSEAI_API_KEYCreate the GooseAI