headroom/tests/test_memory_bridge.py
Rod Boev 2cae13dd79
fix(ccr): skip Anthropic marker emission when tool injection is deferred (#1273)
## Description

Anthropic request-side CCR can still compress a turn into retrieval
markers after the frozen-prefix cache guard suppresses
`headroom_retrieve` registration. That leaves the model with marker-only
context it cannot redeem, so the proxy silently drops recoverable data
on exactly the turns where cache preservation deferred tool injection.
This change couples the Anthropic request-side CCR path to tool
availability so a turn never emits retrieve-only markers without the
retrieval tool, even when token mode or cache-mode prefix replay could
otherwise reuse already-compressed marker text. Closes #1006

After a collaborator merged current `main` into this branch, CI also
picked up unrelated offline-memory failures from the merged base. Those
follow-up changes are test-only: they keep the offline Hugging Face
cache lanes skipping cleanly instead of failing in memory tests that are
outside the CCR runtime path.

## Type of Change

- [x] Bug fix (non-breaking change that fixes an issue)
- [ ] New feature (non-breaking change that adds functionality)
- [ ] Breaking change (fix or feature that would cause existing
functionality to change)
- [ ] Documentation update
- [ ] Performance improvement
- [ ] Code refactoring (no functional changes)

## Changes Made

- Couple Anthropic request-side CCR compression to the same
frozen-prefix guard that already defers `headroom_retrieve`
registration.
- Keep the existing cache-preservation behavior: frozen-prefix turns
stop emitting CCR retrieval markers instead of forcing tool injection
into the cached prefix.
- Make the skip decision use the effective frozen prefix after
token-mode reclamping, so turns that genuinely reclamp to zero still
keep normal reversible CCR behavior.
- Bypass cached marker reuse in both token mode and cache-mode prefix
replay when tool injection is deferred.
- Add focused regressions for the Anthropic request-path seams under
this bug:
  - frozen-prefix turns do not emit marker-only payloads
  - unfrozen turns still keep normal reversible CCR behavior
  - token-mode reclamp back to zero still compresses normally
- existing `headroom_retrieve` tools keep reversible CCR on frozen turns
- cache-mode delta reuse and exact-prefix replay both forward original
content when retrieval is unavailable
- Add a `CHANGELOG.md` entry because the proxy's user-visible Anthropic
CCR behavior changes.
- Add a shared test skip helper for offline Hugging Face cache misses
and apply it to the merged `main` memory tests that were failing only in
the offline CI shards after the branch picked up current `main`.

## Testing

- [x] Unit tests pass (`uv run pytest
tests/test_proxy/test_anthropic_ccr_deferred_injection.py`)
- [x] Linting passes (`uv run ruff check . && uv run ruff format .
--check`)
- [ ] Type checking passes (`uv run mypy headroom`)
- [x] New tests added for new functionality when applicable
- [ ] Manual testing performed

### Test Output

```text
uv run pytest tests/test_proxy/test_anthropic_ccr_deferred_injection.py
14 passed, 1 warning in 34.19s

uv run pytest tests/test_memory/test_skip_helpers.py tests/test_memory/test_embedder_mps_serialization.py::test_cpu_uses_shared_executor tests/test_memory/test_hierarchical.py::TestLocalEmbedder::test_embed_single tests/test_memory_bridge.py::TestMemoryBridgeImport::test_import_claude_code_memory tests/test_memory_handler_concurrent_init.py::test_real_localbackend_initializes_via_public_entrypoint tests/test_memory_system.py::TestLocalBackend::test_save_memory_basic -q
4 passed, 5 skipped, 11 warnings in 7.65s

uv run ruff check .
All checks passed!

uv run ruff format . --check
968 files already formatted
```

## Real Behavior Proof

- Environment: local FastAPI `TestClient` for the Anthropic request
path, plus Windows Python 3.12 offline-memory repros with
`TRANSFORMERS_OFFLINE=1`
- Exact command / steps: Run the focused CCR regression command and the
offline-memory repro subset below on the merged branch state.
- `uv run pytest
tests/test_proxy/test_anthropic_ccr_deferred_injection.py`
- `uv run pytest tests/test_memory/test_skip_helpers.py
tests/test_memory/test_embedder_mps_serialization.py::test_cpu_uses_shared_executor
tests/test_memory/test_hierarchical.py::TestLocalEmbedder::test_embed_single
tests/test_memory_bridge.py::TestMemoryBridgeImport::test_import_claude_code_memory
tests/test_memory_handler_concurrent_init.py::test_real_localbackend_initializes_via_public_entrypoint
tests/test_memory_system.py::TestLocalBackend::test_save_memory_basic
-q`
- Scenario coverage from the CCR pytest command:
- frozen prefix with deferred tool injection and cached marker text
available in token mode
  - unfrozen turn with normal CCR marker emission
  - token mode where the tracked frozen prefix reclamps back to zero
  - frozen prefix where the client already supplied `headroom_retrieve`
- cache-mode append-only delta reuse with a previously forwarded
compressed prefix
- cache-mode exact-prefix replay where the previous forwarded prefix
already contained a marker
- Scenario coverage from the offline-memory repro command:
  - direct local embedder startup on CPU with no cached HF model
- hierarchical memory embedder startup with offline model cache missing
  - bridge import through `LocalBackend`
  - `MemoryHandler` public init warmup path
  - `LocalBackend` save path under the offline lane
- Observed result: The CCR regression keeps marker-free forwarding on
frozen turns without tool availability, and the merged-`main`
offline-memory lanes now skip cleanly instead of failing unrelated CI
shards.
- frozen-prefix Anthropic turns without tool availability forward the
original long transcript across both token-mode and cache-mode reuse
paths, while unfrozen turns, reclamped token-mode turns, and frozen
turns that already advertise `headroom_retrieve` keep the reversible CCR
marker path
- the merged-`main` offline-memory regressions now skip cleanly when the
Hugging Face cache is unavailable instead of failing unrelated CI shards
- Not tested: live Zed session cache-hit behavior, provider latency
under real Anthropic upstreams, and online Hugging Face download lanes

## Review Readiness

- [x] I have performed a self-review
- [x] This PR is ready for human review

## Checklist

- [x] My code follows the project's style guidelines
- [x] I have performed a self-review of my code
- [x] I have commented my code, particularly in hard-to-understand areas
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective or that my
feature works
- [x] New and existing unit tests pass locally with my changes
- [x] I have updated the CHANGELOG.md if applicable

## Additional Notes

- Runtime scope is still intentionally narrow to Anthropic request-side
CCR. OpenAI, Gemini, streaming, and response-side CCR behavior are
unchanged.
- The only non-CCR diff is the test-only offline-memory follow-up
required after current `main` was merged into the branch.
- The focused proxy pytest run still emits the Windows-local
`StarletteDeprecationWarning` from `fastapi.testclient`'s `httpx`
bridge. The offline-memory repro command also emits existing datetime
deprecation warnings and a pytest teardown warning around skipped
offline lanes; none of those warnings were introduced by the CCR runtime
change.
2026-06-23 12:48:05 -05:00

567 lines
20 KiB
Python

"""Tests for the Memory Bridge (markdown <-> Headroom bidirectional sync).
Parser tests are pure functions (no backend needed).
Bridge tests use a temp LocalBackend with a temporary database.
Run with: pytest tests/test_memory_bridge.py -v
"""
from __future__ import annotations
import functools
import json
import os
import uuid
import pytest
from headroom.memory.bridge_config import BridgeConfig, MarkdownFormat
from headroom.memory.bridge_parsers import (
ParsedSection,
detect_format,
extract_entities_from_text,
extract_relationships_from_section,
parse_chatgpt_facts,
parse_claude_code_memory,
parse_generic_markdown,
parse_markdown,
)
from tests._skip_helpers import external_model_skip_reason
# Sample content for testing
CLAUDE_CODE_MEMORY = """\
# Project Memory
## Project Overview
- **Headroom**: Context optimization layer for LLM applications
- **Repos**: OSS at ~/claude-projects/headroom
## Key Architecture
- 186 Python files, 34 packages, 100K+ lines
- 6 compression algorithms: SmartCrusher, CacheAligner, ContentRouter
## Competitors
- Direct: Compresr (YC W26), Token Company
- Gateways: Portkey, Helicone, LiteLLM
"""
CHATGPT_FACTS = """\
User prefers Python over JavaScript
User works at Netflix
User likes dark mode
- User has a cat named Luna
"""
GENERIC_MARKDOWN = """\
# Notes
## Architecture
The system uses FastAPI for the proxy layer.
- SQLite for storage
- HNSW for vector search
## TODO
- Add caching layer
- Improve error handling
"""
def skip_offline_model_failures(func):
"""Skip bridge integration tests when the local embedder cannot start offline."""
@functools.wraps(func)
async def wrapper(*args, **kwargs):
try:
return await func(*args, **kwargs)
except Exception as exc:
reason = external_model_skip_reason(exc)
if reason is not None:
pytest.skip(reason)
raise
return wrapper
def decorate_async_test_methods(cls):
"""Wrap every async test method on a class with the offline-model skip helper."""
for name, value in vars(cls).items():
if name.startswith("test_"):
setattr(cls, name, skip_offline_model_failures(value))
return cls
def skip_if_offline_bridge_import_failed(stats) -> None:
"""Skip bridge assertions when every section failed only because the model cache is offline."""
if (
os.environ.get("TRANSFORMERS_OFFLINE") == "1"
and stats.sections_imported == 0
and stats.sections_failed > 0
):
pytest.skip("Skipped because required Hugging Face model files are unavailable offline")
# =============================================================================
# Parser Tests (pure functions, no backend)
# =============================================================================
class TestClaudeCodeParser:
def test_parse_sections(self):
parsed = parse_claude_code_memory(CLAUDE_CODE_MEMORY)
# H1 + 3 H2 sections
assert len(parsed.sections) >= 3
assert parsed.format == "claude_code"
def test_heading_levels(self):
parsed = parse_claude_code_memory(CLAUDE_CODE_MEMORY)
headings = {s.heading: s.heading_level for s in parsed.sections if s.heading}
assert headings.get("Project Overview") == 2
assert headings.get("Key Architecture") == 2
assert headings.get("Competitors") == 2
def test_bullets_become_facts(self):
parsed = parse_claude_code_memory(CLAUDE_CODE_MEMORY)
overview = next(s for s in parsed.sections if s.heading == "Project Overview")
assert len(overview.facts) == 2
assert any("Headroom" in f for f in overview.facts)
assert any("Repos" in f for f in overview.facts)
def test_bold_text_extracted_as_entities(self):
parsed = parse_claude_code_memory(CLAUDE_CODE_MEMORY)
overview = next(s for s in parsed.sections if s.heading == "Project Overview")
assert "Headroom" in overview.entities
assert "Repos" in overview.entities
def test_content_hash_computed(self):
parsed = parse_claude_code_memory(CLAUDE_CODE_MEMORY)
for section in parsed.sections:
if section.content:
assert section.content_hash
assert len(section.content_hash) == 64 # SHA-256
def test_content_hash_deterministic(self):
parsed1 = parse_claude_code_memory(CLAUDE_CODE_MEMORY)
parsed2 = parse_claude_code_memory(CLAUDE_CODE_MEMORY)
for s1, s2 in zip(parsed1.sections, parsed2.sections):
assert s1.content_hash == s2.content_hash
def test_file_hash_computed(self):
parsed = parse_claude_code_memory(CLAUDE_CODE_MEMORY)
assert parsed.file_hash
assert len(parsed.file_hash) == 64
class TestChatGPTParser:
def test_parse_flat_facts(self):
parsed = parse_chatgpt_facts(CHATGPT_FACTS)
assert parsed.format == "chatgpt"
assert len(parsed.sections) == 1
assert len(parsed.sections[0].facts) == 4
def test_bullet_prefix_stripped(self):
parsed = parse_chatgpt_facts(CHATGPT_FACTS)
facts = parsed.sections[0].facts
assert "User has a cat named Luna" in facts
def test_empty_lines_skipped(self):
content = "Fact 1\n\n\nFact 2\n\n"
parsed = parse_chatgpt_facts(content)
assert len(parsed.sections[0].facts) == 2
def test_empty_content(self):
parsed = parse_chatgpt_facts("")
assert len(parsed.sections) == 0
class TestGenericParser:
def test_parse_multi_level_headers(self):
parsed = parse_generic_markdown(GENERIC_MARKDOWN)
assert parsed.format == "generic"
headings = [s.heading for s in parsed.sections if s.heading]
assert "Architecture" in headings
assert "TODO" in headings
def test_non_bullet_lines_are_facts(self):
parsed = parse_generic_markdown(GENERIC_MARKDOWN)
arch = next(s for s in parsed.sections if s.heading == "Architecture")
# "The system uses FastAPI..." and bullets should all be facts
assert len(arch.facts) >= 3
class TestFormatDetection:
def test_detect_claude_code(self):
assert detect_format(CLAUDE_CODE_MEMORY) == "claude_code"
def test_detect_chatgpt(self):
assert detect_format(CHATGPT_FACTS) == "chatgpt"
def test_detect_generic(self):
content = "Some long paragraph without headers or bullet points that goes on and on describing things in great detail.\nAnother very long line that describes more things in this generic format."
assert detect_format(content) in ("generic", "chatgpt")
def test_empty_content(self):
assert detect_format("") == "generic"
class TestAutoParser:
def test_auto_parses_claude_code(self):
parsed = parse_markdown(CLAUDE_CODE_MEMORY)
assert parsed.format == "claude_code"
def test_auto_parses_chatgpt(self):
parsed = parse_markdown(CHATGPT_FACTS)
assert parsed.format == "chatgpt"
def test_force_format(self):
parsed = parse_markdown(CLAUDE_CODE_MEMORY, format="generic")
assert parsed.format == "generic"
class TestEntityExtraction:
def test_bold_text(self):
entities = extract_entities_from_text("I use **Python** and **FastAPI**")
assert "Python" in entities
assert "FastAPI" in entities
def test_camel_case(self):
entities = extract_entities_from_text("Using SmartCrusher and CacheAligner")
assert "SmartCrusher" in entities
assert "CacheAligner" in entities
def test_no_false_positives_on_stop_words(self):
entities = extract_entities_from_text("The system is very important and useful")
# "The" and other stop words should not appear
assert "The" not in entities
def test_all_caps(self):
entities = extract_entities_from_text("Using HNSW and SQLite")
assert "HNSW" in entities
class TestRelationshipExtraction:
def test_bold_colon_pattern(self):
section = ParsedSection(
heading="Test",
heading_level=2,
content="- **Headroom**: Context optimization layer",
facts=["**Headroom**: Context optimization layer"],
)
rels = extract_relationships_from_section(section)
assert len(rels) >= 1
assert rels[0]["source"] == "Headroom"
assert rels[0]["relationship"] == "is"
def test_verb_patterns(self):
section = ParsedSection(
heading="Test",
heading_level=2,
content="Headroom uses SQLite for storage",
facts=["Headroom uses SQLite for storage"],
)
rels = extract_relationships_from_section(section)
uses_rels = [r for r in rels if r["relationship"] == "uses"]
assert len(uses_rels) >= 1
# =============================================================================
# Bridge Tests (require backend)
# =============================================================================
@pytest.fixture
def tmp_dir(tmp_path):
"""Provide a temporary directory for test files."""
return tmp_path
@pytest.fixture
def user_id():
"""Unique user ID for test isolation."""
return f"test_bridge_{uuid.uuid4().hex[:8]}"
@pytest.fixture
def bridge_config(tmp_dir):
"""Create a BridgeConfig with test paths."""
return BridgeConfig(
user_id="test_user",
sync_state_path=tmp_dir / "bridge_state.json",
dedup_similarity_threshold=0.95,
)
@pytest.fixture
async def backend(tmp_dir):
"""Create a LocalBackend with temp database."""
from headroom.memory.backends.local import LocalBackend, LocalBackendConfig
config = LocalBackendConfig(db_path=str(tmp_dir / "test_memory.db"))
backend = LocalBackend(config)
await backend._ensure_initialized()
yield backend
await backend.close()
@pytest.fixture
def bridge(bridge_config, backend):
"""Create a MemoryBridge."""
from headroom.memory.bridge import MemoryBridge
return MemoryBridge(bridge_config, backend)
@decorate_async_test_methods
class TestMemoryBridgeImport:
@pytest.mark.asyncio
async def test_import_claude_code_memory(self, bridge, tmp_dir, backend):
"""Import a MEMORY.md file and verify memories are stored."""
md_path = tmp_dir / "MEMORY.md"
md_path.write_text(CLAUDE_CODE_MEMORY, encoding="utf-8")
stats = await bridge.import_from_markdown(paths=[md_path], user_id="test_user")
skip_if_offline_bridge_import_failed(stats)
assert stats.files_processed == 1
assert stats.sections_imported > 0
assert stats.total_facts > 0
# Verify memories exist in backend
memories = await backend.get_user_memories("test_user", limit=100)
assert len(memories) > 0
@pytest.mark.asyncio
async def test_import_skips_unchanged_file(self, bridge, tmp_dir):
"""Second import of same file should skip (hash unchanged)."""
md_path = tmp_dir / "MEMORY.md"
md_path.write_text(CLAUDE_CODE_MEMORY, encoding="utf-8")
stats1 = await bridge.import_from_markdown(paths=[md_path], user_id="test_user")
skip_if_offline_bridge_import_failed(stats1)
assert stats1.sections_imported > 0
stats2 = await bridge.import_from_markdown(paths=[md_path], user_id="test_user")
assert stats2.files_skipped_unchanged == 1
assert stats2.sections_imported == 0
@pytest.mark.asyncio
async def test_import_detects_changes(self, bridge, tmp_dir):
"""Modified file should re-import changed sections."""
md_path = tmp_dir / "MEMORY.md"
md_path.write_text(CLAUDE_CODE_MEMORY, encoding="utf-8")
await bridge.import_from_markdown(paths=[md_path], user_id="test_user")
# Modify file
modified = CLAUDE_CODE_MEMORY + "\n## New Section\n- Brand new fact\n"
md_path.write_text(modified, encoding="utf-8")
stats = await bridge.import_from_markdown(paths=[md_path], user_id="test_user")
skip_if_offline_bridge_import_failed(stats)
assert stats.files_processed == 1
assert stats.sections_imported >= 1 # At least the new section
@pytest.mark.asyncio
async def test_import_force(self, bridge, tmp_dir):
"""Force import should re-import even if unchanged."""
md_path = tmp_dir / "MEMORY.md"
md_path.write_text(CLAUDE_CODE_MEMORY, encoding="utf-8")
await bridge.import_from_markdown(paths=[md_path], user_id="test_user")
stats = await bridge.import_from_markdown(paths=[md_path], user_id="test_user", force=True)
# Force should process the file, though sections may be deduped by semantic search
assert stats.files_processed == 1
@pytest.mark.asyncio
async def test_import_chatgpt_facts(self, bridge, tmp_dir, backend):
"""Import ChatGPT-style facts."""
md_path = tmp_dir / "chatgpt.txt"
md_path.write_text(CHATGPT_FACTS, encoding="utf-8")
bridge._config.md_format = MarkdownFormat.CHATGPT
stats = await bridge.import_from_markdown(paths=[md_path], user_id="test_user")
skip_if_offline_bridge_import_failed(stats)
assert stats.sections_imported > 0
@pytest.mark.asyncio
async def test_import_missing_file(self, bridge, tmp_dir):
"""Missing file should be skipped gracefully."""
from pathlib import Path
stats = await bridge.import_from_markdown(
paths=[Path(tmp_dir / "nonexistent.md")], user_id="test_user"
)
assert stats.files_processed == 0
@pytest.mark.asyncio
async def test_metadata_preserved(self, bridge, tmp_dir, backend):
"""Imported memories should have bridge metadata."""
md_path = tmp_dir / "MEMORY.md"
md_path.write_text(CLAUDE_CODE_MEMORY, encoding="utf-8")
await bridge.import_from_markdown(paths=[md_path], user_id="test_user")
memories = await backend.get_user_memories("test_user", limit=100)
for memory in memories:
metadata = memory.metadata or {}
assert metadata.get("source") == "memory_bridge"
assert "source_file" in metadata
@decorate_async_test_methods
class TestMemoryBridgeExport:
@pytest.mark.asyncio
async def test_export_claude_code_style(self, bridge, tmp_dir, backend):
"""Export memories as Claude Code style markdown."""
# Add some memories
await backend.save_memory(
content="Headroom is a context optimization layer",
user_id="test_user",
importance=0.8,
metadata={"section_heading": "Overview"},
)
await backend.save_memory(
content="Uses SQLite for storage",
user_id="test_user",
importance=0.7,
metadata={"section_heading": "Architecture"},
)
export_path = tmp_dir / "export.md"
markdown = await bridge.export_to_markdown(
path=export_path,
user_id="test_user",
format=MarkdownFormat.CLAUDE_CODE,
)
assert "# Memory" in markdown
assert "## Overview" in markdown
assert "## Architecture" in markdown
assert "Headroom" in markdown
assert export_path.exists()
@pytest.mark.asyncio
async def test_export_chatgpt_style(self, bridge, backend):
"""Export as flat facts."""
await backend.save_memory(
content="User prefers Python",
user_id="test_user",
importance=0.7,
)
markdown = await bridge.export_to_markdown(
user_id="test_user",
format=MarkdownFormat.CHATGPT,
)
assert "User prefers Python" in markdown
# Should NOT have headers
assert "## " not in markdown
@pytest.mark.asyncio
async def test_export_empty(self, bridge):
"""Export with no memories should produce placeholder."""
markdown = await bridge.export_to_markdown(user_id="nonexistent_user")
assert "No memories" in markdown
@decorate_async_test_methods
class TestMemoryBridgeSync:
@pytest.mark.asyncio
async def test_sync_imports_and_exports(self, bridge, tmp_dir, backend):
"""Full sync: import from file, add organic memory, sync exports it."""
md_path = tmp_dir / "MEMORY.md"
md_path.write_text("## Facts\n- User likes Python\n", encoding="utf-8")
bridge._config.md_paths = [md_path]
# First sync: imports from file
stats = await bridge.sync(user_id="test_user")
skip_if_offline_bridge_import_failed(stats.import_stats)
assert stats.import_stats.sections_imported > 0
# Add an organic memory (not from bridge)
await backend.save_memory(
content="User also likes Rust",
user_id="test_user",
importance=0.7,
metadata={}, # No source tag = organic
)
# Second sync: should export the organic memory
stats2 = await bridge.sync(user_id="test_user")
assert stats2.memories_exported >= 1
# Verify the file now contains the new memory
updated_content = md_path.read_text(encoding="utf-8")
assert "Rust" in updated_content
@pytest.mark.asyncio
async def test_source_tag_prevents_reexport(self, bridge, tmp_dir, backend):
"""Memories imported via bridge should not be re-exported."""
md_path = tmp_dir / "MEMORY.md"
md_path.write_text("## Facts\n- Imported fact\n", encoding="utf-8")
bridge._config.md_paths = [md_path]
# Import
await bridge.sync(user_id="test_user")
# Sync again - nothing should be exported (all memories have source tag)
stats = await bridge.sync(user_id="test_user")
assert stats.memories_exported == 0
@decorate_async_test_methods
class TestSyncStatePersistence:
@pytest.mark.asyncio
async def test_state_saved_and_loaded(self, tmp_dir, backend):
"""Sync state should persist across bridge instances."""
from headroom.memory.bridge import MemoryBridge
state_path = tmp_dir / "state.json"
config = BridgeConfig(
user_id="test_user",
sync_state_path=state_path,
)
md_path = tmp_dir / "MEMORY.md"
md_path.write_text(CLAUDE_CODE_MEMORY, encoding="utf-8")
# First bridge instance: import
bridge1 = MemoryBridge(config, backend)
await bridge1.import_from_markdown(paths=[md_path], user_id="test_user")
# Verify state file exists
assert state_path.exists()
state = json.loads(state_path.read_text())
assert "files" in state
assert str(md_path) in state["files"]
# Second bridge instance: should detect unchanged file
bridge2 = MemoryBridge(config, backend)
stats = await bridge2.import_from_markdown(paths=[md_path], user_id="test_user")
assert stats.files_skipped_unchanged == 1
@decorate_async_test_methods
class TestRoundTrip:
@pytest.mark.asyncio
async def test_import_export_preserves_facts(self, bridge, tmp_dir, backend):
"""Import a MEMORY.md, export it, verify all facts are present."""
md_path = tmp_dir / "MEMORY.md"
md_path.write_text(CLAUDE_CODE_MEMORY, encoding="utf-8")
# Import
await bridge.import_from_markdown(paths=[md_path], user_id="test_user")
# Export
export_path = tmp_dir / "exported.md"
markdown = await bridge.export_to_markdown(
path=export_path,
user_id="test_user",
format=MarkdownFormat.CLAUDE_CODE,
)
# Key facts should survive the round trip
assert "Headroom" in markdown
assert "compression" in markdown.lower() or "SmartCrusher" in markdown
assert "Compresr" in markdown or "Portkey" in markdown