What causes "Failed to code the document." in microsoft/autogen?

Confirm the log file is non-empty and contains expected benchmark output before running the code command.

microsoft/autogen · error · ValueError

Failed to code the document.

Error message

Failed to code the document.

What it means

ValueError raised by agbench's code_command when code_log(input_path) returns None for a file that exists. code_log normally either returns a coded document or raises, so this branch is defensive: it converts an unexpected empty result from the OpenAI-based coding step into an explicit error for the CLI user.

Source

Thrown at python/packages/agbench/src/agbench/linter/cli.py:86

    text = load_log_file(input_path, prepend_numbers=False).text

    response = client.responses.create(
        model="gpt-4o",
        input=f"Summarize the following log file in one sentence.\n{text}",
    )
    return response.output_text


def code_command(input_path: str) -> None:
    """
    Process the given input path by coding log files.
    """
    if os.path.isfile(input_path):
        print(f"Processing file: {input_path}")
        print(get_log_summary(input_path))
        coded_doc = code_log(input_path)
        if coded_doc is None:
            raise ValueError("Failed to code the document.")
        print_coded_results(input_path, coded_doc)
    else:
        print("Invalid input path.")


def lint_cli(args: Sequence[str]) -> None:
    invocation_cmd = args[0]

    args = args[1:]

    parser = argparse.ArgumentParser(
        prog=invocation_cmd,
        description=f"{invocation_cmd} will analyze a console log."
        " And detect errors/inefficiencies in the log files.",
    )

    parser.add_argument("logfile", type=str, help="Path to a log file.")

View on GitHub (pinned to 027ecf0a37)

Solutions

Confirm the log file is non-empty and contains expected benchmark output before running the code command.
Re-run the benchmark step that produces the log if the file is empty.
If it persists, run with the coder debug output enabled (or print message.refusal) to see why the coding step returned nothing, and upgrade agbench if the CLI/coder signatures drifted.

Example fix

# before
agbench lint code empty_log.jsonl

# after
wc -c empty_log.jsonl  # 0 bytes -> regenerate
agbench run ...       # produce a real log first
agbench lint code runs/results/run.jsonl

Defensive patterns

Strategy: try-catch

Validate before calling

import os
if os.path.isfile(input_path) and os.path.getsize(input_path) == 0:
    raise SystemExit(f"{input_path} is empty; nothing to code — regenerate the log.")

Try / catch

try:
    code_command(input_path)
except ValueError as e:
    if "Failed to code" in str(e):
        print("Coding returned no result; check the log content and OpenAI setup, then retry.")
    raise

Prevention

Skip empty or whitespace-only log files before running the code command.
Keep the agbench CLI and its coder module on the same version.
Inspect the printed refusal/coder output to distinguish empty input from an API problem.

When it happens

Trigger: Running 'agbench lint code <file>' on an existing file whose coding attempt short-circuited — most plausibly when the coder path yields no document (for example an empty log file producing nothing to code, or a code path returning before assignment in the OAI coder).

Common situations: Pointing the coder at an empty or whitespace-only log file left over from a crashed benchmark run; version skew between the CLI and the coder module signature; OAI responses that produce no codes on degenerate input.

Related errors

AI-assisted analysis of microsoft/autogen@027ecf0a37 (2026-08-15). Data as JSON: /api/errors/f5ed09dcda85d075. Report an issue: GitHub.