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markitect-main/markitect/prompts/execution/llm_adapter.py

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feat(prompts): implement Phase 4 - Execution Engine (FR-4, FR-5) 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>
2026-02-08 23:15:33 +01:00
"""
feat(llm): extract adapter layer for standalone llm-connect package (S1+S2) Stage 1 — Decouple: - Move RunConfig + LLMResponse to markitect/llm/models.py (canonical) - Move LLMAdapter + Mock/ErrorLLMAdapter to markitect/llm/adapter.py - markitect/prompts/execution/models.py and llm_adapter.py become re-export shims - All 4 adapters + factory.py updated to import from markitect.llm.* - Parameterize app_name in toml_config.py (resolve_llm, get_default_layers, get_preference_layers): paths and env var now derived from app_name arg - Add tests/test_llm_isolation.py: 7 isolation + backward-compat tests Stage 2 — Extract: - Standalone llm-connect package created at ~/llm-connect/ - All 18 llm files copied; markitect.* imports replaced with llm_connect.* - LLMError base inlined in llm_connect/exceptions.py (no markitect dep) - llm-connect installed into markitect-venv; declared in pyproject.toml Smoke test: markitect llm-check succeeds (live Gemini API call). Backward compat: markitect.prompts.execution.{models,llm_adapter} still work. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 08:04:50 +01:00
Re-exports from markitect.llm.adapter for backward compatibility.
feat(prompts): implement Phase 4 - Execution Engine (FR-4, FR-5) 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>
2026-02-08 23:15:33 +01:00
feat(llm): extract adapter layer for standalone llm-connect package (S1+S2) Stage 1 — Decouple: - Move RunConfig + LLMResponse to markitect/llm/models.py (canonical) - Move LLMAdapter + Mock/ErrorLLMAdapter to markitect/llm/adapter.py - markitect/prompts/execution/models.py and llm_adapter.py become re-export shims - All 4 adapters + factory.py updated to import from markitect.llm.* - Parameterize app_name in toml_config.py (resolve_llm, get_default_layers, get_preference_layers): paths and env var now derived from app_name arg - Add tests/test_llm_isolation.py: 7 isolation + backward-compat tests Stage 2 — Extract: - Standalone llm-connect package created at ~/llm-connect/ - All 18 llm files copied; markitect.* imports replaced with llm_connect.* - LLMError base inlined in llm_connect/exceptions.py (no markitect dep) - llm-connect installed into markitect-venv; declared in pyproject.toml Smoke test: markitect llm-check succeeds (live Gemini API call). Backward compat: markitect.prompts.execution.{models,llm_adapter} still work. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 08:04:50 +01:00
The LLM adapter interface was moved to markitect.llm.adapter in v1.1.
feat(prompts): implement Phase 4 - Execution Engine (FR-4, FR-5) 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>
2026-02-08 23:15:33 +01:00
"""
feat(llm): extract adapter layer for standalone llm-connect package (S1+S2) Stage 1 — Decouple: - Move RunConfig + LLMResponse to markitect/llm/models.py (canonical) - Move LLMAdapter + Mock/ErrorLLMAdapter to markitect/llm/adapter.py - markitect/prompts/execution/models.py and llm_adapter.py become re-export shims - All 4 adapters + factory.py updated to import from markitect.llm.* - Parameterize app_name in toml_config.py (resolve_llm, get_default_layers, get_preference_layers): paths and env var now derived from app_name arg - Add tests/test_llm_isolation.py: 7 isolation + backward-compat tests Stage 2 — Extract: - Standalone llm-connect package created at ~/llm-connect/ - All 18 llm files copied; markitect.* imports replaced with llm_connect.* - LLMError base inlined in llm_connect/exceptions.py (no markitect dep) - llm-connect installed into markitect-venv; declared in pyproject.toml Smoke test: markitect llm-check succeeds (live Gemini API call). Backward compat: markitect.prompts.execution.{models,llm_adapter} still work. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 08:04:50 +01:00
from markitect.llm.adapter import LLMAdapter, MockLLMAdapter, ErrorLLMAdapter
feat(prompts): implement Phase 4 - Execution Engine (FR-4, FR-5) 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>
2026-02-08 23:15:33 +01:00
feat(llm): extract adapter layer for standalone llm-connect package (S1+S2) Stage 1 — Decouple: - Move RunConfig + LLMResponse to markitect/llm/models.py (canonical) - Move LLMAdapter + Mock/ErrorLLMAdapter to markitect/llm/adapter.py - markitect/prompts/execution/models.py and llm_adapter.py become re-export shims - All 4 adapters + factory.py updated to import from markitect.llm.* - Parameterize app_name in toml_config.py (resolve_llm, get_default_layers, get_preference_layers): paths and env var now derived from app_name arg - Add tests/test_llm_isolation.py: 7 isolation + backward-compat tests Stage 2 — Extract: - Standalone llm-connect package created at ~/llm-connect/ - All 18 llm files copied; markitect.* imports replaced with llm_connect.* - LLMError base inlined in llm_connect/exceptions.py (no markitect dep) - llm-connect installed into markitect-venv; declared in pyproject.toml Smoke test: markitect llm-check succeeds (live Gemini API call). Backward compat: markitect.prompts.execution.{models,llm_adapter} still work. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 08:04:50 +01:00
__all__ = ["LLMAdapter", "MockLLMAdapter", "ErrorLLMAdapter"]
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