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Environment Configuration

Instructor uses environment variables for configuration settings and API keys. The library comes with a .env-dist template file that lists all supported variables.

You can copy it to .env (or merge with your .env file) and fill in your values.

Alternatively, you can set the variables directly in your environment

Check setup instructions for more details on how to set up your environment and how it can be done automatically with the Instructor’s CLI tool.

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LLM Provider API Keys

Instructor supports multiple LLM providers.

Configure the ones you plan to use:

# OpenAI (default provider)
OPENAI_API_KEY=''

# Alternative providers
ANTHROPIC_API_KEY=''
ANYSCALE_API_KEY=''
AZURE_OPENAI_API_KEY=''
AZURE_OPENAI_EMBED_API_KEY=''
COHERE_API_KEY=''
FIREWORKS_API_KEY=''
GEMINI_API_KEY=''
GROK_API_KEY=''
GROQ_API_KEY=''
MISTRAL_API_KEY=''
OLLAMA_API_KEY=''
OPENROUTER_API_KEY=''
TOGETHER_API_KEY=''
JINA_API_KEY=''

Only configure the services you plan to use; others can remain empty.

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Other API Keys in .env-dist

Instructor comes with bundled add-on capabilities that use other APIs for various purposes. You can find them in the .env-dist file. They are not required for the core functionality of Instructor.

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Instructor Configuration Directory Path

Instructor uses a configuration directory to store its settings, e.g. LLM provider configurations.

You can set the path to this directory in your .env file:

INSTRUCTOR_CONFIG_PATH='/../../config/'

This tells Instructor where to find its configuration files, if it has not been configured manually via Settings class. The path is relative to the vendor directory where Instructor is installed.