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

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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

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Usage

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Log All Frames

Log all frames passing through the pipeline:

from pipecat.observers.loggers.debug_log_observer import DebugLogObserver

task = PipelineTask(
    pipeline,
    params=PipelineParams(
        observers=[DebugLogObserver()],
    ),
)

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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

task = PipelineTask(
    pipeline,
    params=PipelineParams(
        observers=[
            DebugLogObserver(frame_types=(
                TranscriptionFrame,
                InterimTranscriptionFrame
            ))
        ],
    ),
)

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Advanced Source/Destination Filtering

Filter frames based on their type and source/destination:

from pipecat.frames.frames import StartInterruptionFrame, 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

task = PipelineTask(
    pipeline,
    params=PipelineParams(
        observers=[
            DebugLogObserver(frame_types={
                # Only log StartInterruptionFrame when source is BaseOutputTransport
                StartInterruptionFrame: (BaseOutputTransport, FrameEndpoint.SOURCE),

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

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

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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

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Configuration Options

ParameterTypeDescription
frame_typesTuple[Type[Frame], ...] or Dict[Type[Frame], Optional[Tuple[Type, FrameEndpoint]]]Frame types to log, with optional source/destination filtering
exclude_fieldsSet[str]Field names to exclude from logging (defaults to binary fields)

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FrameEndpoint Enum

The FrameEndpoint enum is used for source/destination filtering:

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