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Client Configuration

Provider configuration is handled directly through the Evaluator constructor. See the Provider Configuration guide for full details.

Quick Reference

from evaluateur import Evaluator

# Simple: pass a "provider/model-name" string
evaluator = Evaluator(MyModel, llm="openai/gpt-4.1-mini")
evaluator = Evaluator(MyModel, llm="anthropic/claude-haiku-4-5-20251001")

# Default: reads EVALUATEUR_MODEL env var
evaluator = Evaluator(MyModel)

# Advanced: bring your own Instructor client
import instructor
from openai import AsyncOpenAI

inst = instructor.from_openai(AsyncOpenAI())
evaluator = Evaluator(MyModel, client=inst, model_name="claude-haiku-4-5-20251001")

Environment Variables

Variable Default Description
EVALUATEUR_MODEL openai/gpt-4.1-mini Default model in "provider/model-name" format
OPENAI_API_KEY — OpenAI API key
ANTHROPIC_API_KEY — Anthropic API key
GEMINI_API_KEY — Google Gemini API key

See Also