Limits and expected behaviors - Weights & Biases Documentation

This page lists Weave’s limitations, known issues, and expected behaviors. Use it as a reference when you encounter unexpected results or want to understand how Weave handles edge cases.

For retryable requests, Weave retries requests starting at 1 second after receiving the first error and then doubles the amount of time between attempts up to 5 minutes. Requests time out after 36 hours.
Instead of raising exceptions, .call() captures exceptions and stores them in the call.exception. If you need to raise exceptions during execution, set the __should_raise parameter, like this:
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# This raises exceptions result, call = foo.call(__should_raise=True)
Dedicated Weave instances use a different OpenTelemetry ingress URL. For more information about authoritative endpoints, see Send OpenTelemetry traces.

Weave sometimes truncates large trace data objects. This occurs because the default trace output is a raw, custom Python object that Weave can’t serialize automatically. To return all of your trace data, define a dictionary of strings, like this:

import weave

class MyObj:
    """An object with a large string attribute."""
    def __init__(self, x: int):
        self.x = x

    def __repr__(self):
        return f"MyObj(x={self.x})"

    def to_dict(self):
        return {"x": self.x}

@weave.op()
def make_my_obj():
    x = "a" * 10_000
    return MyObj(x)

def main():
    weave.init("<entity/project>")

    # Define a traceable operation that processes MyObj
    @weave.op()
    def process_obj(obj: MyObj) -> int:
        return len(obj.x)

    # Create and process a large MyObj instance
    large_obj = make_my_obj()
    length = process_obj(large_obj)
    print(f"Length of x in MyObj: {length}")
    print("dict:", large_obj.to_dict())

if __name__ == "__main__":
    main()