---
id: S07
parent: M001
milestone: M001
provides:
  - "LangGraph StateGraph with 5-stage pipeline: analyze → assess → generate → validate → decide"
  - "PipelineContext dataclass for type-safe dependency injection"
  - "run_pipeline() runner with partial-result error handling"
  - "Analyze stage with DuckDB pre-aggregated traffic stats"
  - "Assess stage comparing traffic patterns to current SG rules"
  - "Generate stage producing vendor-neutral proposals with justification"
  - "Validate step filtering proposals via adapter.validate()"
  - "Decide stage assigning risk levels and CREATE/UPDATE/SKIP actions"
requires: []
affects: []
key_files:
  - src/policyfoundry/pipeline/graph.py
  - src/policyfoundry/pipeline/runner.py
  - src/policyfoundry/pipeline/stages/analyze.py
  - src/policyfoundry/pipeline/stages/assess.py
  - src/policyfoundry/pipeline/stages/generate.py
  - src/policyfoundry/pipeline/stages/validate.py
  - src/policyfoundry/pipeline/stages/decide.py
key_decisions:
  - "LangGraph context_schema with PipelineContext dataclass for type-safe DI into stage functions"
  - "Temperature 0.1 for Analyze/Assess/Decide stages (precision); 0.3 for Generate (balance creativity)"
  - "PolicyProposalList and RuleDecisionList wrapper BaseModels for Instructor structured list output"
  - "Validate step is non-LLM: filters via adapter.validate() to save tokens"
  - "Empty proposals short-circuit: skip LLM call when no proposals to decide on"
  - "Token-efficient proposal summarization in decide prompt per RESEARCH.md Pitfall 3"
patterns_established:
  - "LangGraph stage function pattern: async def stage(state, config) → dict[str, Any]"
  - "Prompt separation: system prompt constant + user message format function per stage"
  - "Wrapper BaseModel pattern for structured list output via Instructor"
  - "Non-LLM validation step between Generate and Decide for deterministic filtering"
observability_surfaces: []
drill_down_paths: []
duration: 28min
verification_result: passed
completed_at: 2026-03-11
blocker_discovered: false
---
# S07: Pipeline Core

## What Was Delivered

Complete 5-stage LangGraph pipeline (Analyze → Assess → Generate → Validate → Decide) with PipelineContext DI, partial-result error handling, and 62 pipeline tests. All 5 success criteria verified. Full project at 297 tests.

## Key Outcomes

- **T01**: LangGraph StateGraph skeleton with PipelineContext, Analyze stage with DuckDB query integration, pipeline runner with error handling. 48 pipeline tests.
- **T02**: Assess (gap analysis) and Generate (rule proposals) stages with adapter capability awareness. Non-LLM Validate step filtering invalid proposals before Decide.
- **T03**: Decide stage with cross-proposal reasoning in single LLM call, token-efficient summarization. 7 full integration tests proving end-to-end execution. 62 pipeline tests total.

## Verification

All 5 success criteria passed: 4-stage execution order, Analyze with DuckDB stats, Assess gap identification, Generate with vendor-neutral proposals, Decide with risk levels and actions.

---
*Completed: 2026-03-11*
