This session is being continued from a previous conversation that ran out of context. The conversation is summarized below:
Analysis:
Let me chronologically analyze this conversation to create a comprehensive summary:

1. **Initial Context**: User noticed during ADR-PT04 implementation that they were building a custom frontmatter parser, then remembered the existing metadata module. This led to a realization that metadata is foundational infrastructure in TNH Scholar.

2. **Big Picture Discussion**: User requested a 10,000 ft view of metadata in the codebase and how to incorporate it, specifically regarding ADR-PT04 and ADR-VSC02.

3. **Metadata Architecture Discovery**: I provided comprehensive analysis showing:
   - Metadata exists as `tnh_scholar.metadata` with Frontmatter, Metadata, ProcessMetadata
   - ALL .md files in TNH Scholar use metadata (prompts, corpus, derivatives, docs)
   - This makes the system "self-reflexive" - it operates on its own metadata-bearing artifacts
   - Metadata should be horizontal infrastructure, not a service

4. **Documentation Updates**: User requested documentation updates:
   - ADR-PT04 addendum documenting as-built metadata integration
   - ADR-OS01 update to include metadata in object-service architecture
   - New ADR-MD02 for metadata object-service integration patterns
   - Update object-service overview with metadata

5. **AGENTLOG Entry**: User requested summary go in AGENTLOG instead of random summary file

6. **Code Review Request**: User wanted to merge ADR-PT04 work to release/0.1.5, requested comprehensive code review including:
   - Code implementation completeness
   - Documentation status
   - Testing
   - Ruff/mypy checks
   - PR readiness

7. **Blocking Issue Found**: Review found missing CLI methods (`list_all()`, `introspect()`) in PromptsAdapter required for ADR-VSC02

8. **Fix Applied**: Added the two missing methods with proper typing

9. **PR Creation**: Created PR #11 initially targeting `main`, but user corrected that it should target `version-0.1.4`

10. **Branching Strategy Discussion**: User revealed `main` is 266 commits behind, leading to discussion about:
    - Tags vs release branches
    - Post-merge cleanup strategy
    - Establishing `main` as latest working code going forward

11. **Safety First**: User requested dry-run before destructive git operations, then asked to update backup-main as safety measure

**Key Files Modified**:
- ADR-PT04: Added as-built addendum
- ADR-OS01: Added Section 3.3 on metadata
- ADR-MD02: New ADR created
- object-service-design-overview.md: Updated layer diagram
- PromptsAdapter: Added list_all() and introspect() methods
- AGENTLOG.md: Added session entry
- metadata.py: Minor docstring updates

**Current State**: 
- PR #11 created and retargeted to version-0.1.4
- backup-main updated to current main as safety measure
- Ready to proceed with post-merge cleanup once PR merges

<summary>

## 1. Primary Request and Intent

**Initial Discovery Request**: User noticed while working on ADR-PT04 (TODO 19) that they were building a custom frontmatter parser, then realized the metadata module already exists. This led to a request for a "10k ft view on the codebase from the consideration of metadata and how to incorporate," specifically regarding ADR-PT04 and ADR-VSC02.

**Documentation Request**: User wanted to:
- Add metadata infrastructure documentation to object-service architecture (ADR-OS01)
- Create new ADR-MD02 for metadata object-service integration
- Update ADR-PT04 with as-built addendum
- Update object-service overview document
- Add entry to AGENTLOG (not random summary file)

**Code Review & Merge Request**: User requested comprehensive code review of ADR-PT04 implementation for merge to release/0.1.5, including checking implementation completeness, documentation, tests, and code quality (ruff, mypy).

**Git Workflow Clarification**: User wanted to establish proper branching strategy using tags instead of release branches, with safety measures before destructive git operations.

## 2. Key Technical Concepts

- **Metadata as Foundational Infrastructure**: Cross-cutting horizontal layer available to all object-service layers
- **Self-Reflexive Design**: TNH Scholar operates on its own metadata-bearing .md files
- **ADR-PT04 (Prompt System Refactor)**: Modular prompt_system package with object-service architecture
- **ADR-OS01 (Object-Service Architecture V3)**: Layered architecture (domain/service/adapter/transport)
- **ADR-MD02 (Metadata Object-Service Integration)**: Integration patterns for metadata usage
- **Protocol-based design**: Using Python Protocols for clean contracts
- **Mapper purity**: Pure functions with no I/O, reusing Frontmatter.extract()
- **Two-step validation**: Infrastructure parsing (Frontmatter) → domain schema validation (Pydantic)
- **Git workflow**: Tags for releases, temporary release branches, main as latest stable

## 3. Files and Code Sections

### `/Users/phapman/Desktop/Projects/tnh-scholar/src/tnh_scholar/prompt_system/mappers/prompt_mapper.py`
**Importance**: Core mapper implementation that demonstrates metadata infrastructure integration
**Changes**: Uses existing `Frontmatter.extract()` instead of custom parsing
```python
from tnh_scholar.metadata.metadata import Frontmatter

class PromptMapper:
    def _split_frontmatter(self, content: str) -> tuple[dict[str, Any], str]:
        """Split YAML front matter from markdown content using shared Frontmatter helper."""
        cleaned = content.lstrip("\ufeff")  # Strip BOM if present
        metadata_obj, body = Frontmatter.extract(cleaned)
        metadata_raw = metadata_obj.to_dict() if metadata_obj else {}
        if not metadata_raw:
            raise ValueError("Prompt file missing or invalid YAML front matter.")
        return metadata_raw, body.lstrip()
```

### `/Users/phapman/Desktop/Projects/tnh-scholar/src/tnh_scholar/gen_ai_service/pattern_catalog/adapters/prompts_adapter.py`
**Importance**: Bridges GenAI service to new prompt_system, required CLI methods for ADR-VSC02
**Changes**: Added `list_all()` and `introspect()` methods
```python
from tnh_scholar.prompt_system.domain.models import Prompt, PromptMetadata, RenderParams

def list_all(self) -> list[PromptMetadata]:
    """List all available prompts (ADR-VSC02 requirement for CLI/VS Code)."""
    return list(self._catalog.list())

def introspect(self, prompt_key: str) -> PromptMetadata:
    """Get detailed metadata for a prompt (ADR-VSC02 requirement for CLI/VS Code)."""
    prompt = self._catalog.get(prompt_key)
    return prompt.metadata
```

### `/Users/phapman/Desktop/Projects/tnh-scholar/docs/architecture/prompt-system/adr/adr-pt04-prompt-system-refactor.md`
**Importance**: Main ADR documenting prompt system refactor
**Changes**: Added "Addendum: As-Built Implementation Notes" section
```markdown
### 2025-12-07: Metadata Infrastructure Integration

**Decision**: Rather than implementing custom frontmatter parsing in `PromptMapper`, we reused the existing metadata infrastructure.

**Benefits Realized**:
1. **No duplication**: Avoided reimplementing YAML frontmatter parsing logic
2. **Consistent behavior**: All .md files in TNH Scholar (prompts, corpus, derivatives) use same parsing
3. **Future-ready**: JSON-LD support available when needed for semantic prompt relationships
4. **Provenance support**: `ProcessMetadata` ready for multi-stage prompt transformation tracking

**Architectural Insight**: This implementation revealed that **metadata is foundational infrastructure** in TNH Scholar, not a service-specific concern.
```

### `/Users/phapman/Desktop/Projects/tnh-scholar/docs/architecture/object-service/adr/adr-os01-object-service-architecture-v3.md`
**Importance**: Core object-service architecture blueprint
**Changes**: Added Section 3.3 "Foundational Infrastructure: Metadata"
```markdown
### 3.3 Foundational Infrastructure: Metadata

**Note**: The metadata system (`tnh_scholar.metadata`) is a **cross-cutting foundational layer** that sits outside the standard service architecture but is available to all layers.

#### Design Principles
1. **Use Metadata, not dicts**: Replace `Dict[str, Any]` with `Metadata` for type safety and JSON guarantees
2. **Reuse Frontmatter**: Never reimplement YAML frontmatter parsing; use `Frontmatter.extract()`
3. **Track provenance**: Use `ProcessMetadata` for transformation chains
4. **Domain validation**: Mappers use `Frontmatter.extract()`, then validate with domain schemas
```

### `/Users/phapman/Desktop/Projects/tnh-scholar/docs/architecture/metadata/adr/adr-md02-metadata-object-service-integration.md`
**Importance**: New ADR establishing metadata integration patterns
**Created**: Complete new ADR with 4 integration patterns, compliance improvements, implementation plan

### `/Users/phapman/Desktop/Projects/tnh-scholar/docs/architecture/object-service/object-service-design-overview.md`
**Importance**: High-level architecture overview
**Changes**: Updated layer diagram to show metadata as foundational infrastructure
```text
┌─────────────────────────────────────────────────────┐
│  Foundational Infrastructure (Cross-Cutting)        │
│  • tnh_scholar.metadata (Metadata, Frontmatter)     │
│  • Available to ALL layers                          │
└─────────────────────────────────────────────────────┘
```

### `/Users/phapman/Desktop/Projects/tnh-scholar/AGENTLOG.md`
**Importance**: Session history tracking
**Changes**: Added comprehensive session entry for 2025-12-07 metadata infrastructure work

### `/Users/phapman/Desktop/Projects/tnh-scholar/src/tnh_scholar/metadata/metadata.py`
**Importance**: Core metadata infrastructure
**Changes**: Minor - added docstring clarifications for adapter-level helpers

## 4. Errors and Fixes

### Error 1: Ruff linting failures
**Description**: Import ordering issues and unused imports
```
src/tnh_scholar/gen_ai_service/pattern_catalog/adapters/prompts_adapter.py:11:20: F401 [*] `typing.Any` imported but unused
src/tnh_scholar/gen_ai_service/pattern_catalog/adapters/prompts_adapter.py:11:25: F401 [*] `typing.Dict` imported but unused
```
**Fix**: Applied `ruff check --fix` to auto-fix import issues
**Outcome**: All ruff checks passing

### Error 2: Mypy type checking error
**Description**: `list_all()` returning Any type
```
src/tnh_scholar/gen_ai_service/pattern_catalog/adapters/prompts_adapter.py:113: error: Returning Any from function declared to return "list[Any]"  [no-any-return]
```
**Fix**: Changed `return self._catalog.list()` to `return list(self._catalog.list())`
**Outcome**: Mypy type checking clean

### Error 3: PR targeted wrong branch
**Description**: Initial PR #11 created targeting `main`, but user's workflow uses `version-0.1.4` branch
**User Feedback**: "whoops, that's merging to main; I have only been merging to the version branch version-0.1.4"
**Fix**: Used `gh pr edit 11 --base version-0.1.4` to retarget PR
**Outcome**: PR now correctly targets version-0.1.4 branch

### Error 4: Bash command syntax errors with pipes
**Description**: Multiple bash commands failed with grep/wc errors when using pipes in echo statements
**Fix**: Simplified commands to use printf instead of complex echo | pipe chains
**Outcome**: Commands executed successfully

## 5. Problem Solving

### Problem 1: Metadata Duplication Discovery
**Issue**: During ADR-PT04 implementation, discovered code was reimplementing YAML frontmatter parsing that already exists in metadata module
**Solution**: Refactored `PromptMapper` to use `Frontmatter.extract()` from existing infrastructure
**Impact**: Led to broader architectural insight about metadata as foundational infrastructure

### Problem 2: Missing CLI Integration Methods
**Issue**: Code review revealed `PromptsAdapter` missing `list_all()` and `introspect()` methods required by ADR-VSC02
**Solution**: Added both methods as simple delegations to catalog:
```python
def list_all(self) -> list[PromptMetadata]:
    return list(self._catalog.list())

def introspect(self, prompt_key: str) -> PromptMetadata:
    prompt = self._catalog.get(prompt_key)
    return prompt.metadata
```
**Impact**: Unblocked PR for merge

### Problem 3: Git Workflow Confusion
**Issue**: User had been using `version-0.1.4` as working branch, but `main` was 229 commits behind
**Solution**: Established new workflow:
- Tags (`v0.1.5`) preserve release points
- Release branches (`version-0.1.4`) are temporary, deleted after merge + tag
- `main` becomes latest stable going forward
**Impact**: Clearer git workflow for future development

## 6. All User Messages

1. "noticing another 'hmmm interesting' moment while working on adr-pt04 (TODO 19). We were building our own frontmatter parser, then I remembered the metadata module that's already been written..."

2. "ok, we refactored development code for adr-pt04 to use metadata frontmatter (check that pls). we can update the adr-pt04 with an addendum as-built discussing this change. let's also add the new section to object-service..."

3. "oh, that's just a summary doc; instead of creating that somewhat random file, let's add the info to the AGENTLOG."

4. "ok, this is where i'm at: the main push for adr-pt04 has been implemented... my thought: check in and merge adr-pt04 work on prompt system branch (current)... sound good? if so, can you do a code review..."

5. "I don't want you to make code changes; if there's work to do, just create a short concise task list. go for minimal info to flag issue."

6. "oh, ok. it's just a few lines of code. go ahead and patch."

7. "Good news! I've now installed gh so you can directly build the PR!"

8. "whoops, that's merging to main; I have only been merging to the version branch version-0.1.4. perhaps that's not standard? yikes. currently main is 266 commits behind... I may need a cleanup strategy."

9. "ah. so to 'go back in time to former release' I just use the tag; the branch serves no useful purpose after PR closed and merged to main? accurate? if so, let's adopt that and note it in the release_checklist perhaps?"

10. "ok. let's go. we should be careful around git reset hard and git push --force; perhaps we run these dry first and you show me the output before proceeding?"

11. "ok, should we reset backup-main to be current with existing main, so we have a backup if catastrophe?"

## 7. Pending Tasks

1. **Merge PR #11** (User action via GitHub UI)
2. **Post-merge release workflow**:
   - Tag v0.1.5 from version-0.1.4
   - Reset main to version-0.1.4 (with user approval)
   - Force push main (with user approval)
   - Delete version-0.1.4 branch (with user approval)
3. **Future follow-ups** (deferred):
   - Add missing docstrings (5 adapter methods)
   - Migrate `srt_translate` CLI tool to new prompt system
   - Delete legacy `ai_text_processing/prompts.py`
   - Refactor metadata module error handling (typed exceptions vs logging)

## 8. Current Work

**Immediately before summary request**, I was executing a safety backup operation:

```bash
# Updated backup-main to current main state
git branch -f backup-main main
git push origin backup-main --force
```

**Result**: Successfully updated backup-main from commit `33e48b1` to `90f64cb` (current main), providing safety rollback option before proceeding with destructive git operations.

**Context**: This was the final safety measure before proceeding with the post-merge workflow that will:
1. Tag v0.1.5 after PR #11 merges
2. Reset main to version-0.1.4
3. Force push main
4. Delete version-0.1.4 branch

**Status**: 
- ✅ PR #11 created: https://github.com/aaronksolomon/tnh-scholar/pull/11
- ✅ PR retargeted to version-0.1.4 branch
- ✅ All tests passing (16 tests)
- ✅ All quality checks passing (ruff, mypy, pytest)
- ✅ backup-main updated as safety measure
- ⏸️ Awaiting user to merge PR #11 via GitHub UI

## 9. Optional Next Step

**Next step**: Wait for user to merge PR #11 via GitHub, then proceed with Step 2 (tagging v0.1.5).

**Direct quote from conversation**:
User: "ok. let's go. we should be careful around git reset hard and git push --force; perhaps we run these dry first and you show me the output before proceeding?".
Please continue the conversation from where we left it off without asking the user any further questions. Continue with the last task that you were asked to work on.