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Author SHA1 Message Date
Tejas Chopra
a639540959
chore: remove committed node_modules + stray/internal markdown (repo hygiene) (#1528)
## Description

Repo hygiene for a public OSS project: removes committed `node_modules`,
stray/internal/draft markdown, and commercial-surface references —
keeping every real doc (the published docs site, the wiki guides, and
all component READMEs) intact. Every file was content-audited before
removal, and load-bearing files were verified against the code/CI and
kept.

Net: **1,695 files changed, +23 / −266,409** (the deletions are
dominated by a committed `node_modules` tree).

Closes # (no tracking issue)

## Type of Change

- [ ] 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)
- [x] Documentation update
- [x] Code refactoring (no functional changes)

## Changes Made

**Removed (verified to have no code/CI dependencies):**
- `examples/vercel-ai-sdk-pr/` — 1,649 committed `node_modules` files
(zero example source); `node_modules/` added to `.gitignore`.
- `docs/spec/` (23 draft "Living Specification" files — orphaned,
`1.0.0-draft`, drifted from the code), `docs/superpowers/` (2 agent
plans), `docs/proposals/` (2 internal/commercial memos).
- 6 orphan `docs/*.md` (auth-modes, bedrock,
claude-code-vertex-headroom, cortex-code, output-token-reduction-guide,
rtk-loop-weighting).
- `PR.md` (committed PR draft), `ENTERPRISE.md`, `.github/FUNDING.yml`.

**Content scrubs:**
- Removed unreleased "Headroom Cloud" / `api.headroom.ai` / `hr_`
references from `configuration.mdx`, `wiki/configuration.md`,
`wiki/typescript-sdk.md`, `sdk/typescript/README.md` (reworded to
neutral, accurate phrasing).
- Dropped a stale "awaiting maintainer before merge" line from
`plugins/headroom-oauth2/SPEC.md`; tidied `.gitignore` comments (kept
the protective `headroom-managed/` ignore rule).
- Fixed the now-dangling links into removed files (README
nav/`output-token-reduction` link, `scripts/README`, `wiki/vertex`).

**Explicitly KEPT (load-bearing — would orphan in-code citations if
removed):**
- `.changelog.md` — consumed by `.github/workflows/release.yml` (read as
the release-notes file).
- `REALIGNMENT/`, `docs/observability.md`, `docs/rtk-architecture.md`,
`wiki/plans/`, `TESTING-copilot-subscription.md` — referenced by the
Rust core / Python / tests as design docs.

## Testing

- [ ] Unit tests pass (`pytest`)
- [x] Linting passes (`ruff check`)
- [ ] Type checking passes (`mypy`)
- [x] New tests added for new functionality
- [x] Manual testing performed

### Test Output

```text
# Docs/markdown + .gitignore only — no Python/Rust source changed, so the
# behavioral test suite is unaffected. Verified the cleanup did not orphan
# references or break the published docs site:

$ git ls-files 'docs/content/docs/*.mdx' | wc -l      # published site intact
42
$ # meta.json nav unchanged; no published page removed.

$ grep -rnI "Headroom Cloud|api.headroom.ai|'hr_" $(git ls-files '*.md' '*.mdx')
>>> none

$ # dangling refs to removed files (excl pre-existing P0/P2 spec stubs that
$ # never existed in git): none remaining.
```

## Real Behavior Proof

- Environment: macOS, local git clone of the repo (markdown/.gitignore
changes only — no runtime).
- Exact command / steps: 4 read-only content-audit agents classified
every `.md`/`.mdx` file; each removal candidate was cross-checked
against the codebase (`grep` for citations in `.rs`/`.py`/tests,
workflows, and configs); only files with no dependents were removed; the
tree was re-grepped after removal to confirm no new dangling references;
verified the published docs site page count (`git ls-files
'docs/content/docs/*.mdx' | wc -l` = 42, unchanged).
- Observed result: the 42-page published docs site and all wiki guides
are untouched; no source or workflow references a removed file;
`.changelog.md` (consumed by release.yml) and the code-cited design docs
were detected as dependencies and kept; the committed `node_modules`
tree is removed and `node_modules/` is gitignored so it can't be
re-committed; zero "Headroom Cloud"/`headroom.dev` references remain.
- Not tested: N/A — no executable code changed (only markdown, `.mdx`,
and `.gitignore`), so the behavioral test suite is unaffected.

## 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
- [ ] 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
- [ ] I have updated the CHANGELOG.md if applicable

## Additional Notes

- This branch deletes `.github/FUNDING.yml` while PR #1526 edits it —
the two will be sequenced at merge (delete wins).
- A follow-up option (not in this PR): also remove the internal design
docs that are currently cited by the code (`REALIGNMENT/`,
`docs/observability.md`, `docs/rtk-architecture.md`, `wiki/plans/`) —
that requires scrubbing ~15–20 in-code citations so nothing dangles, so
it's deliberately deferred.
- Untracked local working files (`benchmarks/hf_pilot/`,
`tools/copilot-test/`) are intentionally left out of git (not
committed).
2026-06-27 23:32:54 -07:00
Patrick A
d76a7296df
fix(proxy): make CCR multi-worker warning conditional on backend (#770)
## Problem

The multi-worker startup warning always mentioned CCR retrieval
failures, even when the operator had already configured a cross-worker
backend via `HEADROOM_CCR_BACKEND`. That's noise — if they've set
`HEADROOM_CCR_BACKEND=sqlite` or `redis`, CCR fragmentation is already
resolved.

This was surfaced during review of #628 (now closed): the reviewer
correctly noted that Python `CompressionStore` defaults to
`InMemoryBackend`, which is per-process — each uvicorn worker has its
own singleton, so CCR markers written on worker A are invisible to
worker B unless a shared backend is configured.

## Changes

### `headroom/proxy/server.py`

The `workers > 1` warning is now conditional on `HEADROOM_CCR_BACKEND`:

- **Backend unset (default `InMemoryBackend`, per-process):** warning
includes CCR retrieval failures and suggests
`HEADROOM_CCR_BACKEND=sqlite` to use a shared cross-worker store.
- **Backend configured (`sqlite`/`redis`):** warning covers only the
remaining per-worker stores (compression cache, prefix tracker, TOIN,
CostTracker) — CCR fragmentation is already resolved.

### `RUST_DEV.md`

Updated the multi-worker fragmentation section:
- Removed the incorrect parenthetical claiming this only applies when
the operator *explicitly* chooses `CcrBackendConfig::InMemory` (Python
defaults to InMemory)
- Added Python `CompressionStore` as item 1 in the fragmented-state
list, with a note that setting `HEADROOM_CCR_BACKEND=sqlite` resolves it
- Restored TOIN to the fragmented list with a note that its file-backed
snapshots do not make it coherently shared across workers
- Updated "Detecting it in the wild" to document the conditional warning
behaviour

## Files changed

| File | Change |
|---|---|
| `headroom/proxy/server.py` | Conditional two-branch warning based on
`HEADROOM_CCR_BACKEND` |
| `RUST_DEV.md` | Accurate per-process description of Python
`CompressionStore`; restored TOIN |
| `CHANGELOG.md` | Entry under `[Unreleased]` |

Co-authored-by: JD Davis <mxjerrett@gmail.com>
2026-06-11 18:59:11 -05:00
pratikbin
42b1cd24de docs: fix env var discrepancies across markdown files
Audit all .md files against codebase; fix wrong names, remove phantom
variables, and correct outdated values:

- HEADROOM_PROXY_PORT → HEADROOM_PORT (proxy.py envvar="HEADROOM_PORT")
- HEADROOM_BIND → HEADROOM_HOST + HEADROOM_PORT (RUST_DEV.md)
- HEADROOM_LEARN_{CLAUDE,CODEX,GEMINI}_ENABLED → HEADROOM_LEARN_CLI
  (only HEADROOM_LEARN_CLI exists in learn/analyzer.py)
- HEADROOM_TRACING_ENABLED → HEADROOM_LANGFUSE_ENABLED=1 with correct
  LANGFUSE_PUBLIC_KEY/SECRET_KEY vars (tracing.py)
- HEADROOM_LOG_LEVEL/LOG_FORMAT → --log-level CLI flag / RUST_LOG
  (no HEADROOM_LOG_LEVEL var exists in code)
- HEADROOM_LOG_LEVEL/HEADROOM_STORE_URL/HEADROOM_DEFAULT_MODE rows
  removed from wiki/configuration.md (all phantom)
- HEADROOM_SUMMARY_{ENABLED,THRESHOLD,RATIO} noted as not yet
  implemented (no code exists)
- HEADROOM_DB_URL/HEADROOM_CACHE_BACKEND → explanatory notes pointing
  to HEADROOM_WORKSPACE_DIR (no external DB support in code)
- HEADROOM_DB_PATH/HEADROOM_CACHE_PATH table rows replaced with actual
  HEADROOM_WORKSPACE_DIR/CONFIG_DIR (paths.py)
2026-05-29 15:04:13 +05:30
chopratejas
00902b8fea fix: B7 — CCR hardening: persistent backends + always-on tool
P2-25, P2-26: CCR (Compress-Cache-Retrieve) used an in-memory store
that fragmented across uvicorn workers and was wiped on restart, and
the `headroom_retrieve` tool was registered/unregistered per-request
based on whether the latest body happened to contain compression
markers — every flip busted the prompt cache. Both are sticky
side-channels: once a session has done CCR, the tool list bytes and
the retrieval store must stay stable. This PR fixes both.

Rust:
* Split `ccr.rs` into `ccr/` with `backends/` submodule
  (`in_memory.rs`, `sqlite.rs`, `redis.rs` cfg-gated).
* `SqliteCcrStore` (production default): WAL mode, prepared upsert,
  lazy TTL purge on read, persistent across worker restarts and
  shareable across workers on the same host via SQLite file locking.
* `RedisCcrStore` (cfg-gated behind `feature = "redis"`): SETEX with
  startup PING smoke-test, no key-prefix collision risk, no sticky
  session required at the LB.
* `CcrBackendConfig::{InMemory, Sqlite, Redis}` + `from_config(...)`
  factory — every init failure surfaces (no silent fallback per
  `feedback_no_silent_fallbacks.md`).
* `ccr::compute_key` (BLAKE3 → first 24 hex chars) and
  `ccr::marker_for("HASH") -> "<<ccr:HASH>>"` centralize the hash +
  marker format; one definition for the live-zone dispatcher and the
  Python regex (`headroom/ccr/tool_injection.py:211`).
* `compress_anthropic_live_zone_with_ccr` accepts
  `Option<&dyn CcrStore>`. When wired, every accepted compression
  puts the original bytes into the backend and appends `<<ccr:HASH>>`
  to the compressed string. The token-validation gate runs on the
  marker-augmented string so the `compressed_tokens >=
  original_tokens` rejection stays honest.

Python:
* `SessionCcrTracker` + `apply_session_sticky_ccr_tool` mirror the
  PR-A7 `SessionToolTracker` / `apply_session_sticky_memory_tools`
  pattern: once a session has done CCR, every subsequent request
  injects the recorded golden tool-definition bytes. Tool list bytes
  are byte-stable across turns (snapshot test pins them).
* `headroom/ccr/tool_injection.py::inject_tool_definition` accepts a
  new `session_has_done_ccr` kwarg per the PR-B7 spec change at line
  302-328. The legacy per-request path stays intact for callers that
  don't yet thread a session id (e.g. Google handler).
* Anthropic + OpenAI handlers route their CCR tool-list updates
  through `apply_session_sticky_ccr_tool`, keyed off the existing
  `session_tracker_store.compute_session_id(...)` plumbing.

Backend selection model: `CcrBackendConfig::Sqlite { path }` is the
production default — single host, persistent, multi-worker safe with
sticky session. `CcrBackendConfig::Redis { url }` is the multi-host
scale-out option — no stickiness needed. `InMemory` is for tests
and single-worker dev only. RUST_DEV.md "Multi-worker deployment —
CCR fragmentation" rewritten around this matrix.

Tests:
* `crates/headroom-core/tests/ccr_backends.rs` — 7 tests covering
  SQLite round-trip, TTL purge, proxy-restart survival, cross-backend
  byte-equal keys, `from_config` paths, and the no-redis-feature
  loud-failure check (+ 2 redis tests gated behind the feature).
* `crates/headroom-core/tests/live_zone_ccr.rs` — confirms
  `<<ccr:HASH>>` marker injection, store population, and
  no-marker-when-no-store invariants end-to-end.
* `tests/test_ccr_tool_always_on.py` — 12 tests pinning the
  always-on behaviour, session/provider isolation, LRU bound, no-
  session-id fallback, and (per-acceptance-criterion) the byte-stable
  tool-definition snapshot.

Per-PR-B7 plan: REALIGNMENT/04-phase-B-live-zone.md.
2026-05-02 16:52:33 -07:00
chopratejas
ea78cf6252 fix(proxy): cache concurrency lock, multi-worker docs, bounded compression executor
Three audit follow-ups from issue #327's deep-dive review.

C1 — CompressionCache concurrency lock
======================================

`CompressionCache` instances are shared per `session_id` and accessed from
async-dispatched threadpool workers. Pre-fix, concurrent requests for the
same session raced on `_cache`, `_stable_hashes`, `_first_seen`, and
`_total_tokens_saved` with no synchronization. Observable failures:

* Lost-update on `_total_tokens_saved` (read-modify-write).
* `RuntimeError: OrderedDict mutated during iteration` from `apply_cached`
  when a concurrent `store_compressed` evicts during the walk.
* Lost stable-hash records — next-turn compute_frozen_count reads
  inconsistent state.

May also explain part of SvenMeyer's `_cache: 0 entries / 1003 misses`
observation: the cache was being clobbered concurrently.

Added `threading.RLock` guarding all mutating methods. `RLock` (not `Lock`)
so future code can call locked methods from inside another locked method
without self-deadlock. Also locked `HeadroomProxy._compression_caches`
dict-of-caches access via a separate `_compression_caches_lock` so two
concurrent calls for the same session_id can't each create distinct
CompressionCache objects (which would split the cache state between them).
The `/stats` endpoint snapshots the cache list under the dict lock before
iterating to avoid eviction-during-iteration.

C2 — Multi-worker CCR fragmentation: documented + startup warning
=================================================================

The in-memory `InMemoryCcrStore` (Rust), `_compression_caches` (Python),
`session_tracker_store` (Python), and TOIN learner state are ALL
per-process. Multi-worker uvicorn round-robins requests across workers,
so a session whose turn-1 lands on worker A may have turn-2 land on
worker B. Worker B has zero knowledge of A's CCR markers, replay cache,
or prefix-cache state. Result: `Retrieve original: hash=X` markers stay
in-context as opaque directives, every fresh tool_result is recompressed
from scratch, and `frozen_message_count=0` causes Anthropic prefix-cache
busts on every cross-worker turn.

Added a "Multi-worker deployment — CCR fragmentation" section in
`RUST_DEV.md` documenting the failure modes, the supported configuration
(`--workers 1`), and the sticky-session workaround for horizontal scale.
The proxy emits a `WARNING`-level log line on startup if `workers > 1` is
detected, pointing at the doc section.

C3 — Bounded compression executor with cancel-aware metrics
===========================================================

`asyncio.wait_for(asyncio.to_thread(pipeline.apply), timeout=...)`
cancellation does NOT propagate into the threadpool worker that's running
Rust code. Once the worker has picked up the task,
`concurrent.futures.Future.cancel()` returns False and the thread runs to
completion. Stuck threads accumulated invisibly on asyncio's default
executor, contending with unrelated `to_thread` callers (file IO, etc.).

Replaced all 7 `asyncio.to_thread` call sites for `pipeline.apply()`
across `proxy/handlers/anthropic.py` (3) and `proxy/handlers/openai.py` (4)
with a new `HeadroomProxy._run_compression_in_executor(fn, *, timeout)`
helper that:

  1. Submits to a dedicated bounded `ThreadPoolExecutor` named
     `headroom-compress` (configurable via
     `ProxyConfig.compression_max_workers`; defaults to
     `min(32, (cpu_count or 1) * 4)`).
  2. Increments `_compression_in_flight` (gauge) when work starts and
     decrements when work completes; tracks `_compression_in_flight_max`
     as a high-water mark.
  3. Detects "leaked threads" by comparing wall-clock elapsed against the
     timeout in the worker's `finally` block. Increments
     `_compression_leaked_threads` when a worker finishes after its
     asyncio future was cancelled. Operators can see the leaked-thread
     rate climbing in `/stats runtime.compression_executor` BEFORE the
     pool fills up.

Tests
=====

* `TestCompressionCacheConcurrency` (3 tests) — many threads
  store_compressed / apply_cached / update_from_result on a single
  CompressionCache; assert no exceptions, no lost updates, no partial
  state.
* `test_get_compression_cache_returns_same_instance_under_contention` —
  32 concurrent `_get_compression_cache(same_id)` calls return the
  identical instance (would split pre-lock).
* `test_proxy_compression_executor.py` (8 tests) — pool size respects
  config, in-flight gauge tracks running compressions, high-water mark
  is monotonic, timeout propagates to awaiter, leaked-thread counter
  increments on post-deadline completion, `/stats` surfaces all three
  gauges.

Verification
============

* All 123 targeted regression tests pass.
* `make ci-precheck` clean.
* No `Co-Authored-By` trailer; conventional `fix:` prefix; no
  `--no-verify`.
2026-05-01 15:25:18 -07:00
chopratejas
378d8a0f05 fix(rust): audit cleanup — DiffCompressor CCR leak, CCR TOCTOU race, clippy debt, dep dedup
Closes findings from the post-Phase-3g audit. Five surgical fixes
plus telemetry-discoverability docs. PyO3 0.22 → 0.24 security
upgrade is its own PR (issue #335).

1. DiffCompressor cache_key persistence (production bug)
---------------------------------------------------------
Pre-fix: `RustDiffCompressor.compress()` minted a `cache_key`,
embedded `[... hash=abc123]` in the wire marker, and returned
without storing the original anywhere. Python ContentRouter then
returned the compressed text with a dangling marker — every
retrieval tool call from the LLM 404'd.

Sibling compressors (LogCompressor, SearchCompressor) already had
the right pattern: Rust mints the key, Python's
`_persist_to_python_ccr` writes the original to the production
`CompressionStore`. DiffCompressor was the asymmetric one.

Fix:
- Rust: add `DiffCompressor::compress_with_store(content, context,
  Option<&dyn CcrStore>)` mirroring siblings. Calls `store.put`
  when a key is minted; legacy `compress()` and
  `compress_with_stats()` delegate with `None` for parity.
- Python: add `_persist_to_python_ccr` helper to
  `headroom/transforms/diff_compressor.py.compress()` mirroring
  `log_compressor.py` and `search_compressor.py`.
- Pipeline `DiffOffload`: switch to `compress_with_store(Some(store))`
  and drop the post-hoc double-store hack that papered over this
  bug at the orchestrator boundary.

2. CCR store TOCTOU race in `get()`
-----------------------------------
`InMemoryCcrStore::get()` checked TTL under a read lock, dropped
the lock, then called `remove()`. Between drop and remove a
concurrent `put()` of the same hash with fresh data could land —
and our `remove` would then wipe that fresh entry. Under
multi-worker proxy load this manifested as "I just stored it; why
is it gone?"

Fix: use `DashMap::remove_if`. Predicate runs under the shard
write lock so check-and-remove is atomic. New regression test
exercises a tight contention loop between writer and reader on
the same key.

3. Pre-existing clippy debt in smart_crusher
--------------------------------------------
- 3× `field_reassign_with_default` in `crusher.rs` test setup —
  switch to struct-update syntax `Config { field: x, ..Default }`.
- `hash_array_for_ccr` was `#[cfg(test)]` but unused; deleted with
  a comment so a future test can reintroduce it as a one-liner.

`cargo clippy --workspace --all-targets -- -D warnings` is now
clean across the whole workspace; previous CI patches that allowed
these warnings can be removed in a follow-up.

4. Tokenizers dependency dedup
------------------------------
`tokenizers 0.21` (direct dep) + `tokenizers 0.22` (transitive via
fastembed) compiled twice into the binary. Bumped direct dep to
`0.22` to align; API is compatible (verified by full tokenizer
test suite). Saves compile time + binary bloat.

5. Telemetry-discoverability doc (no new code)
----------------------------------------------
The audit recommended a per-transform invocation counter to
inform the next Python → Rust port. Discovered the infrastructure
already exists at `/stats`:
- `compressions_by_strategy` — invocation count per strategy
- `pipeline_timing` — count + avg/max ms per transform name
- `tokens_saved_by_strategy` — savings attribution

Added a section to `RUST_DEV.md` showing the `curl + jq` recipes
to read this data, with example output highlighting how to spot
zero-invocation deferral candidates (e.g. `code_compressor`).

Verification: workspace tests 734 + 14 + 5 + 4 + 6 + 5 + 2 + 2 +
3 + 4 + 2 + 2 + 1 = all green; cargo fmt clean; cargo clippy
--all-targets clean; Python tests 185 pass; commitlint clean.
2026-04-30 20:54:22 -07:00
chopratejas
12c2665531 feat(rust): signals trait module + KeywordDetector (Phase 3e.1)
Establish `crates/headroom-core/src/signals/` as a top-level module
holding cross-cutting detection traits. Phase 3e.1 ports
`error_detection.py` to a `LineImportanceDetector` trait + a
`Tiered<T>` combinator + a single concrete `KeywordDetector` impl
backed by aho-corasick. Three traits at three granularities are
sketched (line / blob / item); only line-importance is implemented
today.

Two bug fixes from the Python source bake into both the Rust impl
and the Python regex shim:

1. `ERROR_KEYWORDS` listed `timeout|abort|denied|rejected` but
   `ERROR_PATTERN` regex omitted them. Lines like `"Connection
   timeout"` were silently neutral despite the keyword being canonical.
   Both surfaces now flag them.
2. `SECURITY_KEYWORDS` carried `token`, which false-positived on
   every reference to LLM tokens (`input_tokens`, `tokens_saved`, ...)
   in our own product. Dropped from the security set.

The Python `error_detection.py` shim now reflects keyword data out of
Rust via `keyword_registry_snapshot()` and recompiles the legacy
`re.Pattern` objects on the fly. Existing callers (text_compressor,
search_compressor, intelligent_context) continue to import the same
names with no source changes; caller migration to the trait API
happens in their own port PRs.

The trait architecture is the seam where a future ML detector slots
in without touching `KeywordDetector` or any caller. The canonical
extension is documented in `signals/README.md` as a classifier head
on the existing `bge-small-en-v1.5` embedder loaded by
`relevance::EmbeddingScorer` -- 384-dim -> 4-class softmax,
~1.5 KB head, ~1 ms inference, no extra model file. Two alternatives
(distilled tinyBERT in ONNX, logistic regression on lexical
features) are kept open in case BGE-head underfits.

Per the no-silent-fallbacks rule: only `KeywordDetector` lands as a
concrete impl. No NoOp, no MockDetector, no stub-ML -- those will
arrive with their real implementations.

Phase 3g (Compression Pipeline Formalization, issue #315) is queued
as the cross-cutting follow-up that will make lossless-then-lossy-
then-CCR ordering an explicit, observable architecture rather than
implicit per-compressor logic. Trait shapes there will reuse the
signals primitive landed in this PR.
2026-04-29 15:55:13 -07:00
chopratejas
3f8de4e117 fix(smart_crusher): re-land orphaned audit close-out — CCR knob + scorer fail-loud
Re-lands two audit fixes that were marked "merged" on GitHub but never
reached main: squash-merging the parent stack changed its commit SHA,
which silently dropped the contents of the stacked PRs (#301, #305).
Single PR this time — no stacking risk.

What lands:

1. **`enable_ccr_marker` Rust gate** — new field on `SmartCrusherConfig`
   (default `true`). `crush_array` checks it before emitting the
   `<<ccr:HASH>>` marker text and the CCR store write. PyO3 surface +
   parity-fixture tolerance updated; recorded fixtures predate the
   field and inherit the `true` default.

2. **Python shim collapses both flags to the gate** — both
   `ccr_config.enabled=False` and `ccr_config.inject_retrieval_marker
   =False` now flip the Rust gate off. Storing a payload nothing in
   the prompt can reference is pointless, and storing under
   `enabled=False` would be a surprise side effect the user
   explicitly opted out of.

3. **Custom `scorer` / `relevance_config` fails loud** — replaces the
   prior WARNING-and-drop. Silently dropping a user-supplied scorer
   is a textbook silent fallback. `NotImplementedError` instead.
   Verified zero production callers pass these args; full plumbing
   arrives with Stage-3c.2's relevance-crate Python bridge.

Tests:
- 2 new Rust unit tests in `crusher.rs::tests`
- 6 new Python tests in `test_smart_crusher_toin_attachment.py`
  (3 CCR marker-knob behaviors + 3 scorer fail-loud)
- Removed `test_ccr_inject_marker_false_logs_warning` (the WARNING is
  gone now that the flag is honored)
- `make ci-precheck` green; eval suite + observability tests run
  twice consecutively to verify no TOIN file pollution leaks into the
  regular+coverage double-run on Python 3.11

RUST_DEV.md audit table reflects both gaps closed.
2026-04-28 18:37:52 -07:00
chopratejas
049ca9cab2 fix(smart_crusher): re-attach TOIN learning loop + audit known regressions
The Stage 3c.1b retirement of the Python SmartCrusher silently disconnected
three subsystems. The audit on 2026-04-28 caught them; this commit fixes
what's fixable today and labels the rest visibly.

## TOIN learning loop — fixed

Before: `ContentRouter._record_to_toin` skipped SmartCrusher on the
assumption SmartCrusher recorded its own TOIN events. The retired Python
class did. The Rust port doesn't know about TOIN. Net result: the
highest-traffic compression strategy stopped fueling the learning loop,
silently.

Fix: shim's `crush()` and `_smart_crush_content()` now call
`toin.record_compression()` after a real compression. Filtered on
`strategy != "passthrough"` because the Rust port flips
`was_modified=True` from JSON whitespace re-canonicalization. Best
effort: TOIN failures are logged at debug level and never break
compression.

Token estimates use `len(json) // 4` (the rule the retired Python used)
because the router doesn't pass a tokenizer down to this layer and
re-tokenizing here would dominate the recording cost.

7 tests in `tests/test_smart_crusher_toin_attachment.py`:
- crush() records on real compression, doesn't on passthrough
- structurally-similar inputs land on the same pattern
- _smart_crush_content() records (legacy apply() path)
- TOIN errors don't break compression
- non-JSON input doesn't record
- inject_retrieval_marker=False emits a WARNING

## CCR marker emission knob — labelled, not yet fixed

`ccr_config.inject_retrieval_marker=False` is not honored — the Rust
port emits `<<ccr:HASH N_rows_offloaded>>` markers in `dropped_summary`
unconditionally. Today the production default has the flag True so no
one is hitting the gap, but the silent-disconnect was a real
regression. Shim now logs a WARNING when callers pass `False` so the
mismatch is visible. Fix needs a Rust-side gate; tracked in
`RUST_DEV.md`.

## Custom relevance scorer — labelled, not yet fixed

`relevance_config` and `scorer` constructor args are accepted for
source compatibility but the Rust default `HybridScorer` always
runs. Shim was logging this at debug; bumped to WARNING. Tracked.

## RUST_DEV.md

New "Known regressions in retired-Python components" section with a
table per retired component. The intent is that this section gets
updated whenever a regression closes (or a new one is found), so the
duplicate-codebase tax stays visible instead of decaying into folklore.
2026-04-28 11:28:25 -07:00
chopratejas
c2749c0fb6 docs(rust): lockfile + RUST_DEV.md for proxy CLI
Cargo.lock: pick up tokio-util added in the WS half-close fix.
RUST_DEV.md: document how to run headroom-proxy in passthrough mode
(listen + upstream flags, e2e test gate, env vars).
2026-04-25 12:49:36 -07:00
chopratejas
0414cb70e4 feat(rust): scaffold workspace + parity harness (phase-0)
Bootstrap the Rust port of Headroom. Additive only — no existing Python
code modified. Ships the workshop, not the widgets.

Layout
  Cargo.toml (workspace) + rust-toolchain.toml
  crates/headroom-core    — transform library, stub only
  crates/headroom-proxy   — axum binary, /healthz only
  crates/headroom-py      — PyO3 cdylib, exposes headroom._core.hello()
  crates/headroom-parity  — Rust-vs-Python oracle harness + parity-run CLI

Tooling
  Makefile: test, test-parity, bench, build-proxy, build-wheel, fmt, lint
  .github/workflows/rust.yml: test, wheels (linux/mac), audit, parity-nightly
  deny.toml for cargo-deny

Parity corpus
  tests/parity/recorder.py + scripts/record_fixtures.py
  125 recorded fixtures across 5 leaf transforms (ccr, tokenizer,
  log_compressor, diff_compressor, cache_aligner)

Docs
  RUST_DEV.md — developer setup and workspace reference
  docs/spec/022-rust-migration.md — migration plan and stage breakdown

.gitignore: whitelist scripts/record_fixtures.py; ignore target/

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 13:39:48 -07:00