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Use Anthropic when your production stack already depends on Claude models. Running evals against the same model family your app ships with keeps eval results closer to real-world behavior.

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Configure evalflow.yaml

Add an anthropic block under providers and set default_provider to anthropic: 
providers:
  anthropic:
    api_key_env: "ANTHROPIC_API_KEY"
    default_model: "claude-3-5-haiku-20241022"

eval:
  default_provider: "anthropic"
api_key_env is the name of the environment variable that holds your key — evalflow reads the variable at runtime and never stores the key itself.

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Set your API key

export ANTHROPIC_API_KEY="your-key-here"
Add this line to your shell profile (~/.bashrc, ~/.zshrc, etc.) or a .env file so you do not have to re-export it each session. Never commit your .env file to version control.

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Verify the connection

Run evalflow doctor to confirm evalflow can see the key before running any evals: 
evalflow doctor

✓ ANTHROPIC_API_KEY set

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Run evals

evalflow eval --provider anthropic

Running test cases against claude-3-5-haiku-20241022...
Quality Gate: PASS
If eval.default_provider is already set to anthropic in your evalflow.yaml, you can omit the --provider flag: 
evalflow eval

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Provider notes

  • Default model: claude-3-5-haiku-20241022. You can override it by setting default_model to any Claude model your account can access.
  • API key required: An Anthropic account and API key are required. Requests without a valid key will fail immediately.
  • Judge model: By default, evalflow uses Groq as the LLM judge. If you want Anthropic to serve as both the model under test and the judge, update the judge block in evalflow.yaml:
judge:
  provider: "anthropic"
  model: "claude-3-5-haiku-20241022"