example.env

LANGSMITH_API_KEY=<YOUR_LANGSMITH_API_KEY>
AZURE_OPENAI_ENDPOINT=<IF USING AZURE GPTs>
AZURE_OPENAI_API_KEY=<IF USING AZURE GPTs>
OPENAI_API_VERSION=<IF USING AZURE GPTs>
OPENAI_API_KEY=<IF USING OPEN AI GPTs>
# Determines which Langchain classes are used to construct Jockey LLM instances.
LLM_PROVIDER=<MUST BE ONE OF [AZURE, OPENAI]>
TWELVE_LABS_API_KEY=<YOUR TWELVE LABS API KEY>
# This variable is used to persist and make rendered video servable from within the LangGraph API container.
# Please make sure this directory exists on the host machine.
# Please make sure this directory is available as a File Sharing resource in Docker For Mac.
HOST_PUBLIC_DIR=<VOLUME MOUNTED TO LANGGRAPH API SERVER CONTAINER WHERE RENDERED VIDEOS GO>
# This variable is a placeholder that will be used by an upcoming Jockey core worker it currently doesn't impact anything.
# Please make sure this directory exists on the host machine.
# Please make sure this directory is available as a File Sharing resource in Docker For Mac.
HOST_VECTOR_DB_DIR=<VOLUME MOUNTED TO LANGGRAPH API SERVER CONTAINER WHERE VECTOR DB GOES>