.env.template

# Refer to https://docs.datarobot.com/en/docs/api/api-quickstart/index.html#create-a-datarobot-api-key
# and https://docs.datarobot.com/en/docs/api/api-quickstart/index.html#retrieve-the-api-endpoint
# Can be deleted on a DataRobot codespace
DATAROBOT_API_TOKEN=
DATAROBOT_ENDPOINT= 

# For Azure OpenAI: 

# Refer to (https://learn.microsoft.com/en-us/azure/ai-services/openai/chatgpt-quickstart?tabs=command-line%2Cjavascript-keyless%2Ctypescript-keyless%2Cpython-new&pivots=programming-language-python#retrieve-key-and-endpoint)

OPENAI_API_KEY=
OPENAI_API_BASE=
OPENAI_API_VERSION=
OPENAI_API_DEPLOYMENT_ID=

# For Google VertexAI

# You will need a service account JSON with aiplatform.endpoints.predict permission (https://cloud.google.com/iam/docs/keys-create-delete)
# Add the JSON file content enclosed by '' here:

# GOOGLE_SERVICE_ACCOUNT=
# GOOGLE_REGION=

# For AWS Bedrock:

# Refer to https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html
# AWS_SESSION_TOKEN is optional in case you are using a long term access key

# AWS_ACCESS_KEY_ID=
# AWS_SECRET_ACCESS_KEY=
# AWS_SESSION_TOKEN=
# AWS_REGION=

# Required, unless logged in to pulumi cloud. Choose your own alphanumeric passphrase to be used for encrypting pulumi config
PULUMI_CONFIG_PASSPHRASE=123