tegwick
c56c92c815
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Implement three-stage execution lifecycle with idempotent runs and complete provenance tracking via RunManifest. Core Features: - PromptRun model with execution lifecycle stages: 1. Analysis: Template analysis and macro extraction 2. Compilation: Macro resolution and context compilation 3. Processing: LLM execution and output generation - InputBundleHash for deterministic idempotency (FR-4.3) - RunManifest for complete execution provenance (FR-5) - LLMAdapter interface for pluggable model providers - MockLLMAdapter for testing without API calls - PromptExecutionEngine orchestrating full lifecycle Idempotent Execution (FR-4.4): - Calculate SHA-256 hash of complete input context - Skip execution if identical hash exists - Cache successful runs by hash - Support force re-execution via config flag RunManifest Tracking (FR-5.2): - Template metadata (id, name, digest) - Resolved input artifacts and digests - Compiled prompt digest - Model configuration - Output artifacts - Dependency edges for graph construction - Timing metadata for performance analysis Tests (27 passing): - 17 execution model tests (config, bundle, runs, stages) - 10 engine tests (execution, idempotency, errors, caching) Implements: - FR-4.1: Three-stage execution lifecycle - FR-4.2: CompiledPrompt during compilation - FR-4.3: InputBundleHash calculation - FR-4.4: Skip execution for identical hashes - FR-5.1: RunManifest persistence - FR-5.2: Complete manifest contents - FR-5.3: Nested run linking (foundation) Files Created: - markitect/prompts/execution/models.py - markitect/prompts/execution/manifest.py - markitect/prompts/execution/llm_adapter.py - markitect/prompts/execution/engine.py - migrations/prompts/003_create_runs_and_manifests.sql - tests/unit/prompts/test_execution_models.py - tests/unit/prompts/test_execution_engine.py Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
30 lines
746 B
Python
30 lines
746 B
Python
"""
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Execution engine for Prompt Dependency Resolution.
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This package provides the core execution infrastructure for running
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PromptTemplates with idempotent execution and complete provenance tracking.
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"""
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from markitect.prompts.execution.models import (
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PromptRun,
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ExecutionStage,
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RunConfig,
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InputBundle,
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LLMResponse,
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)
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from markitect.prompts.execution.manifest import RunManifest
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from markitect.prompts.execution.engine import PromptExecutionEngine
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from markitect.prompts.execution.llm_adapter import LLMAdapter, MockLLMAdapter
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__all__ = [
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"PromptRun",
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"ExecutionStage",
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"RunConfig",
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"InputBundle",
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"LLMResponse",
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"RunManifest",
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"PromptExecutionEngine",
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"LLMAdapter",
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"MockLLMAdapter",
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]
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