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Documentation Index

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Use the eval command for LLM-as-a-judge evaluation, given a (set of) test file(s) consisting of prompts, instructions, and optionally, targets. Instantiate a generator model to produce candidate responses, and a judge model to determine whether the instructions have been followed. Instantiate a generator model to produce candidate responses, and a judge model to determine whether the instructions have been followed.

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Functions

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FUNC eval_run 

eval_run(test_files: list[str] = typer.Argument(..., help='List of paths to json/jsonl files containing test cases'), backend: str = typer.Option('ollama', '--backend', '-b', help='Generation backend'), model: str = typer.Option(None, '--model', help='Generation model name'), max_gen_tokens: int = typer.Option(256, '--max-gen-tokens', help='Max tokens to generate for responses'), judge_backend: str = typer.Option(None, '--judge-backend', '-jb', help='Judge backend'), judge_model: str = typer.Option(None, '--judge-model', help='Judge model name'), max_judge_tokens: int = typer.Option(256, '--max-judge-tokens', help="Max tokens for the judge model's judgement."), output_path: str = typer.Option('eval_results', '--output-path', '-o', help='Output path for results'), output_format: str = typer.Option('json', '--output-format', help='Either json or jsonl format for results'), continue_on_error: bool = typer.Option(True, '--continue-on-error'))
Run LLM-as-a-judge evaluation on one or more test files. Loads test cases from JSON/JSONL files, generates candidate responses using the specified generation backend, scores them with a judge model, and writes aggregated results to a file. Args:
  • test_files: Paths to JSON/JSONL files containing test cases.
  • backend: Generation backend name.
  • model: Generation model name, or None for the default.
  • max_gen_tokens: Maximum tokens to generate for each response.
  • judge_backend: Judge backend name, or None to reuse the generation backend.
  • judge_model: Judge model name, or None for the default.
  • max_judge_tokens: Maximum tokens for the judge model’s output.
  • output_path: File path prefix for the results file.
  • output_format: Output format — "json" or "jsonl".
  • continue_on_error: If True, skip failed tests instead of raising.