Metafazer/finrag-backend
0
1import os2from dotenv import load_dotenv3load_dotenv()4from langfuse import Langfuse5 6client = Langfuse()7trace = client.trace(name="test_trace_from_script", input="hello")8trace.generation(name="test_gen", model="gpt-3.5", input="hello", output="world")9trace.score(name="test_score", value=1.0)10client.flush()11print("Flushed trace:", trace.id)12 