ComponentsLLMsArceeOn this pageArceeThis notebook demonstrates how to use the Arcee class for generating text using Arcee's Domain Adapted Language Models (DALMs).Setup​Before using Arcee, make sure the Arcee API key is set as ARCEE_API_KEY environment variable. You can also pass the api key as a named parameter.from langchain.llms import Arcee# Create an instance of the Arcee classarcee = Arcee(    model="DALM-PubMed",    # arcee_api_key="ARCEE-API-KEY" # if not already set in the environment)Additional Configuration​You can also configure Arcee's parameters such as arcee_api_url, arcee_app_url, and model_kwargs as needed.
Setting the model_kwargs at the object initialization uses the parameters as default for all the subsequent calls to the generate response.arcee = Arcee(    model="DALM-Patent",    # arcee_api_key="ARCEE-API-KEY", # if not already set in the environment    arcee_api_url="https://custom-api.arcee.ai", # default is https://api.arcee.ai    arcee_app_url="https://custom-app.arcee.ai", # default is https://app.arcee.ai    model_kwargs={        "size": 5,        "filters": [            {                "field_name": "document",                "filter_type": "fuzzy_search",                "value": "Einstein"            }        ]    })Generating Text​You can generate text from Arcee by providing a prompt. Here's an example:# Generate textprompt = "Can AI-driven music therapy contribute to the rehabilitation of patients with disorders of consciousness?"response = arcee(prompt)Additional parameters​Arcee allows you to apply filters and set the size (in terms of count) of retrieved document(s) to aid text generation. Filters help narrow down the results. Here's how to use these parameters:# Define filtersfilters = [    {        "field_name": "document",        "filter_type": "fuzzy_search",        "value": "Einstein"    },    {        "field_name": "year",        "filter_type": "strict_search",        "value": "1905"    }]# Generate text with filters and size paramsresponse = arcee(prompt, size=5, filters=filters)PreviousAnyscaleNextAzure MLSetupAdditional ConfigurationGenerating TextAdditional parameters