import os

import sentry_sdk
from langchain_aws import ChatBedrockConverse
from sentry_sdk.ai.monitoring import ai_track
from sentry_sdk.integrations.langchain import LangchainIntegration

sentry_sdk.init(
    dsn=os.environ["SENTRY_DSN"],
    environment="localhost",
    traces_sample_rate=1.0,
    integrations=[LangchainIntegration()],
)

@ai_track("Bug demo", op="ai.run")
def run_llm():
    llm = ChatBedrockConverse(
        region_name="eu-west-1",
        aws_access_key_id=os.environ["AWS_ACCESS_KEY_ID"],
        aws_secret_access_key=os.environ["AWS_SECRET_ACCESS_KEY"],
        model="eu.amazon.nova-lite-v1:0",
        max_tokens=1,
    )
    llm.invoke('hello')


if __name__ == "__main__":
    run_llm()

Traceback (most recent call last):
  File ".../sentry_bug.py", line 29, in <module>
    run_llm()
  File ".../.venv/lib/python3.12/site-packages/sentry_sdk/ai/monitoring.py", line 37, in sync_wrapped
    with start_span(name=description, op=op, **span_kwargs) as span:
         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: sentry_sdk.api.start_span() got multiple values for keyword argument 'op'