Felipe Cardoso
2bea057fb1
- Cleaned up unnecessary comments in `__all__` definitions for better readability. - Adjusted indentation and formatting across modules for improved clarity (e.g., long lines, logical grouping). - Simplified conditional expressions and inline comments for context scoring and ranking. - Replaced some hard-coded values with type-safe annotations (e.g., `ClassVar`). - Removed unused imports and ensured consistent usage across test files. - Updated `test_score_not_cached_on_context` to clarify caching behavior. - Improved truncation strategy logic and marker handling.
179 lines
3.5 KiB
Python
179 lines
3.5 KiB
Python
"""
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Context Management Engine
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Sophisticated context assembly and optimization for LLM requests.
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Provides intelligent context selection, token budget management,
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and model-specific formatting.
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Usage:
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from app.services.context import (
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ContextSettings,
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get_context_settings,
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SystemContext,
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KnowledgeContext,
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ConversationContext,
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TaskContext,
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ToolContext,
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TokenBudget,
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BudgetAllocator,
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TokenCalculator,
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)
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# Get settings
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settings = get_context_settings()
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# Create budget for a model
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allocator = BudgetAllocator(settings)
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budget = allocator.create_budget_for_model("claude-3-sonnet")
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# Create context instances
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system_ctx = SystemContext.create_persona(
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name="Code Assistant",
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description="You are a helpful code assistant.",
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capabilities=["Write code", "Debug issues"],
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)
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"""
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# Budget Management
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# Adapters
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from .adapters import (
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ClaudeAdapter,
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DefaultAdapter,
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ModelAdapter,
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OpenAIAdapter,
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get_adapter,
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)
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# Assembly
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from .assembly import (
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ContextPipeline,
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PipelineMetrics,
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)
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from .budget import (
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BudgetAllocator,
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TokenBudget,
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TokenCalculator,
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)
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# Cache
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from .cache import ContextCache
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# Compression
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from .compression import (
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ContextCompressor,
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TruncationResult,
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TruncationStrategy,
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)
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# Configuration
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from .config import (
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ContextSettings,
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get_context_settings,
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get_default_settings,
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reset_context_settings,
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)
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# Engine
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from .engine import ContextEngine, create_context_engine
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# Exceptions
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from .exceptions import (
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AssemblyTimeoutError,
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BudgetExceededError,
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CacheError,
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CompressionError,
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ContextError,
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ContextNotFoundError,
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FormattingError,
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InvalidContextError,
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ScoringError,
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TokenCountError,
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)
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# Prioritization
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from .prioritization import (
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ContextRanker,
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RankingResult,
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)
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# Scoring
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from .scoring import (
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BaseScorer,
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CompositeScorer,
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PriorityScorer,
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RecencyScorer,
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RelevanceScorer,
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ScoredContext,
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)
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# Types
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from .types import (
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AssembledContext,
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BaseContext,
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ContextPriority,
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ContextType,
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ConversationContext,
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KnowledgeContext,
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MessageRole,
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SystemContext,
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TaskComplexity,
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TaskContext,
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TaskStatus,
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ToolContext,
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ToolResultStatus,
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)
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__all__ = [
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"AssembledContext",
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"AssemblyTimeoutError",
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"BaseContext",
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"BaseScorer",
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"BudgetAllocator",
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"BudgetExceededError",
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"CacheError",
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"ClaudeAdapter",
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"CompositeScorer",
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"CompressionError",
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"ContextCache",
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"ContextCompressor",
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"ContextEngine",
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"ContextError",
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"ContextNotFoundError",
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"ContextPipeline",
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"ContextPriority",
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"ContextRanker",
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"ContextSettings",
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"ContextType",
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"ConversationContext",
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"DefaultAdapter",
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"FormattingError",
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"InvalidContextError",
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"KnowledgeContext",
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"MessageRole",
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"ModelAdapter",
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"OpenAIAdapter",
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"PipelineMetrics",
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"PriorityScorer",
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"RankingResult",
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"RecencyScorer",
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"RelevanceScorer",
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"ScoredContext",
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"ScoringError",
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"SystemContext",
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"TaskComplexity",
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"TaskContext",
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"TaskStatus",
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"TokenBudget",
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"TokenCalculator",
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"TokenCountError",
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"ToolContext",
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"ToolResultStatus",
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"TruncationResult",
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"TruncationStrategy",
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"create_context_engine",
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"get_adapter",
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"get_context_settings",
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"get_default_settings",
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"reset_context_settings",
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]
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