agentgraph/input/__init__.py

"""
Input Processing and Analysis

This module handles the first stage of the agent monitoring pipeline:
- Trace uploading and validation
- Content analysis and log type detection
- Boundary detection and semantic analysis
- Text chunking and preprocessing

Functional Organization:
- trace_management: Trace operations and lifecycle management
- content_analysis: Log type detection, boundary detection, semantic analysis
- text_processing: Text chunking, splitting strategies, and preprocessing

Usage:
    from agentgraph.input.trace_management import analyze_trace_characteristics
    from agentgraph.input.content_analysis import LogTypeDetector
    from agentgraph.input.text_processing import ChunkingService
"""

# Import main components
from .trace_management import (
    analyze_trace_characteristics, display_trace_summary, preprocess_content_for_cost_optimization
)

from .content_analysis import (
    LogType, LogTypeDetector, DetectionResult,
    BoundaryDetector, AgentBoundary, BoundaryType, BoundaryConfidence,
    BaseBoundaryDetector, FrameworkSpecificDetector, GenericAgentPatternDetector, StructuralDetector,
    SemanticAnalyzer, SemanticBreakpoint, SemanticSegment
)

from .text_processing import (
    ChunkingService,
    TextChunk, BaseSplitter, CharacterSplitter, JSONSplitter,
    AgentAwareSemanticSplitter, PromptInteractionSplitter
)

from .parsers import (
    BaseTraceParser, LangSmithParser, ParsedMetadata,
    create_parser, detect_trace_source, parse_trace_with_context,
    get_context_documents_for_source
)

__all__ = [
    # Trace analysis
    'analyze_trace_characteristics', 'display_trace_summary', 'preprocess_content_for_cost_optimization',
    
    # Content analysis
    'LogType', 'LogTypeDetector', 'DetectionResult',
    'BoundaryDetector', 'AgentBoundary', 'BoundaryType', 'BoundaryConfidence',
    'BaseBoundaryDetector', 'FrameworkSpecificDetector', 'GenericAgentPatternDetector', 'StructuralDetector',
    'SemanticAnalyzer', 'SemanticBreakpoint', 'SemanticSegment',
    
    # Text processing
    'ChunkingService',
    'TextChunk', 'BaseSplitter', 'CharacterSplitter', 'JSONSplitter',
    'AgentAwareSemanticSplitter', 'PromptInteractionSplitter',
    
    # Platform-specific parsers
    'BaseTraceParser', 'LangSmithParser', 'ParsedMetadata',
    'create_parser', 'detect_trace_source', 'parse_trace_with_context',
    'get_context_documents_for_source'
]