Debug Log Observer

Comprehensive frame logging with configurable filtering in Pipecat

The DebugLogObserver provides detailed logging of frame activity in your Pipecat pipeline, with full visibility into frame content and flexible filtering options.

Features

• Log all frame types and their content
• Filter by specific frame types
• Filter by source or destination components
• Automatic formatting of frame fields
• Special handling for complex data structures

Usage

Log All Frames

Log all frames passing through the pipeline:

from pipecat.observers.loggers.debug_log_observer import DebugLogObserver

worker = PipelineWorker(
    pipeline,
    params=PipelineParams(
        observers=[DebugLogObserver()],
    ),
)

Filter by Frame Types

Log only specific frame types:

from pipecat.frames.frames import TranscriptionFrame, InterimTranscriptionFrame
from pipecat.observers.loggers.debug_log_observer import DebugLogObserver

worker = PipelineWorker(
    pipeline,
    params=PipelineParams(
        observers=[
            DebugLogObserver(frame_types=(
                TranscriptionFrame,
                InterimTranscriptionFrame
            ))
        ],
    ),
)

Advanced Source/Destination Filtering

Filter frames based on their type and source/destination:

from pipecat.frames.frames import InterruptionFrame, UserStartedSpeakingFrame, LLMTextFrame
from pipecat.observers.loggers.debug_log_observer import DebugLogObserver, FrameEndpoint
from pipecat.transports.base_output_transport import BaseOutputTransport
from pipecat.services.stt_service import STTService

worker = PipelineWorker(
    pipeline,
    params=PipelineParams(
        observers=[
            DebugLogObserver(frame_types={
                # Only log InterruptionFrame when source is BaseOutputTransport
                InterruptionFrame: (BaseOutputTransport, FrameEndpoint.SOURCE),

                # Only log UserStartedSpeakingFrame when destination is STTService
                UserStartedSpeakingFrame: (STTService, FrameEndpoint.DESTINATION),

                # Log LLMTextFrame regardless of source or destination
                LLMTextFrame: None
            })
        ],
    ),
)

Log Output Format

The observer logs each frame with its complete details:

[Source] → [Destination]: [FrameType] [field1: value1, field2: value2, ...] at [timestamp]s

For example:

OpenAILLMService#0 → DailyTransport#0: LLMTextFrame text: 'Hello, how can I help you today?' at 1.24s

Configuration Options

Parameter	Type	Description
frame_types	Tuple[Type[Frame], ...] or Dict[Type[Frame], Optional[Tuple[Type, FrameEndpoint]]]	Frame types to log, with optional source/destination filtering
exclude_fields	Set[str]	Field names to exclude from logging (defaults to binary fields)

FrameEndpoint Enum

The FrameEndpoint enum is used for source/destination filtering:

• FrameEndpoint.SOURCE: Filter by source component
• FrameEndpoint.DESTINATION: Filter by destination component