Log Levels

from langfuse import observe, get_client
 
langfuse = get_client()
 
 
@observe()
def my_function():
    # ... processing logic ...
    # Update the current span with a warning level
    langfuse.update_current_span(
        level="WARNING",
        status_message="This is a warning"
    )

from langfuse import Langfuse
langfuse = Langfuse()
 
# Using context managers (recommended)
with langfuse.start_as_current_span(name="my-operation") as span:
    # Set level and status message on creation
    with span.start_as_current_span(
        name="potentially-risky-operation",
        level="WARNING",
        status_message="Operation may fail"
    ) as risky_span:
        # ... do work ...
 
        # Or update level and status message later
        risky_span.update(
            level="ERROR",
            status_message="Operation failed with unexpected input"
        )
 
# You can also update the currently active span without a direct reference
with langfuse.start_as_current_span(name="another-operation"):
    # ... some processing ...
    langfuse.update_current_span(
        level="DEBUG",
        status_message="Processing intermediate results"
    )

with langfuse.start_as_current_generation(
    name="llm-call",
    model="gpt-4o",
    level="DEFAULT"  # Default level
) as generation:
    # ... make LLM call ...
 
    if error_detected:
        generation.update(
            level="ERROR",
            status_message="Model returned malformed output"
        )

from langfuse.decorators import langfuse_context, observe
 
@observe()
def fn():
    langfuse_context.update_current_observation(
        level="WARNING",
        status_message="This is a warning"
    )
 
# outermost function becomes the trace, level and status message are only available on observations
@observe()
def main():
    fn()
 
main()

from langfuse import Langfuse
langfuse = Langfuse()
 
trace = langfuse.trace()
 
# Add an observation (span) with a level and status message
trace.span(
    level="WARNING",
    status_message="This is a warning"
)

import { Langfuse } from "langfuse";
const langfuse = new Langfuse();
 
const trace = langfuse.trace();
 
// Add an observation (span) with a level and status message
trace.span({
  level: "WARNING",
  statusMessage: "This is a warning",
});