xtekky/gpt4free · error · RuntimeError

Failed to load PA provider from {file_path}:\n{result.error}

Error message

Failed to load PA provider from {file_path}:\n{result.error}

What it means

Raised by load_pa_provider when execute_safe_code reports failure — the .pa.py file raised an exception, violated a sandbox rule (any of the ImportError/PermissionError cases above), or exceeded the load-time budget. Note the sandbox is invoked with timeout=0.1 seconds, so even a provider whose module-level code merely does slow work can fail here. result.error carries the underlying traceback, which is appended to the message.

Source

Thrown at g4f/mcp/pa_provider.py:754

    Returns:
        The provider class, or ``None`` if none could be found.

    Raises:
        FileNotFoundError: If *file_path* does not exist.
        ValueError: If *file_path* does not end with ``.pa.py``.
        RuntimeError: If the file fails to execute.
    """
    file_path = Path(file_path)
    if not file_path.exists():
        raise FileNotFoundError(f"PA provider file not found: {file_path}")
    if not file_path.name.endswith(".pa.py"):
        raise ValueError(f"File must have .pa.py extension: {file_path}")

    code = file_path.read_text(encoding="utf-8")
    result = execute_safe_code(code, file_path=file_path, timeout=0.1, max_depth=100)

    if not result.success:
        raise RuntimeError(
            f"Failed to load PA provider from {file_path}:\n{result.error}"
        )

    # Prefer an explicit 'Provider' name
    provider_class = result.locals.get("Provider")
    if provider_class is not None:
        return provider_class

    # Fall back to any class that looks like a provider
    for obj in result.locals.values():
        if isinstance(obj, type) and (
            hasattr(obj, "create_completion") or hasattr(obj, "create_async_generator")
        ):
            return obj

    return None

View on GitHub (pinned to 973504e177)

Solutions

  1. Read the appended result.error text — it names the real line and exception
  2. Move all network/IO work out of module scope into the provider's create_* methods so load stays under 0.1 s
  3. Fix the underlying sandbox violation (import/open restrictions) indicated by the inner error
  4. Check the file compiles: python -m py_compile your.pa.py

Example fix

# before (module scope — slow, fails 0.1s load budget)
SESSION = build_session(); SESSION.login()

class Provider(AsyncGeneratorProvider):
    ...

# after
SESSION = None
def _lazy_login():
    global SESSION
    if SESSION is None:
        SESSION = build_session(); SESSION.login()

class Provider(AsyncGeneratorProvider):
    async def create_async_generator(...):
        _lazy_login()
Defensive patterns

Strategy: try-catch

Validate before calling

# keep load fast and side-effect free: check for module-level IO before shipping
import ast
for node in ast.walk(ast.parse(code)):
    if isinstance(node, (ast.AsyncFunctionDef, ast.FunctionDef, ast.ClassDef)):
        continue
    # flag top-level calls that can be slow (open, requests, sleep, loops)
    if isinstance(node, ast.Call):
        func = getattr(node.func, 'id', getattr(node.func, 'attr', ''))
        assert func not in {'open', 'sleep', 'input'}, f"slow/blocked top-level call: {func}"

Try / catch

try:
    provider_cls = load_pa_provider(path)
except RuntimeError as e:
    # e.args[0] contains the sandbox's inner traceback — fix that first
    log.error("PA provider load failed: %s", e)

Prevention

When it happens

Trigger: Any unhandled exception at module scope of the .pa.py file; a disallowed import or out-of-workspace open(); module-level work (network calls, big loops, sleeps) that exceeds the 0.1 s load timeout; syntax errors in the file.

Common situations: Doing request/session setup at import time instead of inside create_async_generator; a missing dependency that the sandbox rejects; syntax valid in a newer Python than the host runs.

Related errors


AI-assisted analysis of xtekky/gpt4free@973504e177 (2026-08-14). Data as JSON: /api/errors/11bea777c1a7ee0b. Report an issue: GitHub.