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9 commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Alex Sun
|
685ebe457d
|
fix(ccr): report embedded hashes from compress endpoint (#717)
## Description
Fixes `/v1/compress` so its `ccr_hashes` response includes retrievable
CCR hashes embedded in compressed message content, including row-drop
and recursive JSON markers that may not be present in
`TransformResult.markers_inserted`.
The original PR also changed query-based JSON row search. Current `main`
intentionally made CCR retrieval a hash-only, full-content lookup in
#1532, so that obsolete half is not restored. This reconciliation
preserves the reporting bug fix without reversing the current retrieval
contract.
## 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 causes existing functionality
to change)
- [ ] Documentation update
- [ ] Performance improvement
- [ ] Code refactoring (no functional changes)
## Changes Made
- extract 12–24 character CCR hashes from `Retrieve more`, `Retrieve
original`, and `<<ccr:...>>` markers
- scan both transform marker metadata and nested rendered message values
- preserve stable encounter order and deduplicate case-insensitively
- exclude non-retrieval transform metadata such as tool digests and
stable-prefix hashes
- return the normalized hashes from `/v1/compress`
- add helper-level and endpoint-level regression coverage
## Testing
- [x] Unit tests pass (`pytest`)
- [x] Linting passes (`ruff check`)
- [ ] Type checking passes (`mypy headroom`)
- [x] New tests added for new functionality
- [x] Manual behavior inspection performed
### Test Output
```text
$ uv run --extra dev pytest tests/test_proxy_compress_endpoint.py -q
50 passed, 1 warning in 6.54s
$ uv run --extra dev ruff check headroom/proxy/handlers/openai.py tests/test_proxy_compress_endpoint.py
All checks passed!
$ uv run --extra dev ruff format --check headroom/proxy/handlers/openai.py tests/test_proxy_compress_endpoint.py
2 files already formatted
$ git diff --check
# no output
```
## Real Behavior Proof
- Environment: macOS, Python 3.12.13, current `main` at `
|
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|
Tejas Chopra
|
6422a80a58
|
fix(compress): resolve the /v1/compress tokenizer per model, and document the real contract (#2743)
## Description
`/v1/compress` does no format conversion — callers send whichever wire
shape they already use — but the pipeline pinned **one provider's token
counter for the whole route**.
`OpenAITokenCounter.count_message` walks list content for `text` and
`image_url` only and has **no else branch**, so Anthropic content blocks
contributed literally zero. A 599-token `tool_result` scored 8. A
request that really removed 235 characters reported `tokens_saved: 0` —
so a caller gating on `tokens_saved > 0` concludes compression is broken
while it is working.
Prompted by a Kong integration question ("do you support the Anthropic
native format?"). The answer is that we already did — we just reported
zeros for it, and the docs said otherwise.
Closes #
## Type of Change
- [x] Bug fix (non-breaking change that fixes an issue)
- [x] Documentation update
## Changes Made
### Tokenizer resolution (no hardcoded lists)
Build the derived pipelines with `provider=None` so `TransformPipeline`
resolves the tokenizer from the **per-model registry**. Every registry
tokenizer derives from `BaseTokenizer`, whose `_count_content_parts`
ends in a serialize-and-count catch-all, which means:
- No block type counts as zero, and there is **no per-provider
block-type list to keep in sync**. An enumerated set was the first thing
I tried and it already missed `mcp_tool_result`,
`web_search_tool_result`, `document`, and `thinking`.
- Gemini / Mistral / DeepSeek / Kimi stop defaulting to a tiktoken count
when the registry already has a calibrated counter for them.
- Gateway aliases matching no vendor pattern still count correctly.
`mode="ccr"` now runs a derived pipeline too, for the same reason —
sharing `openai_pipeline` pinned its provider. Costs that mode its own
cold compression cache; correct metrics win.
### Tokenizer selection stays separate from context-limit resolution
Deliberately not welded together. `model_limit` feeds `context_pressure
-> min_ratio`, so letting a tokenizer decision pick the limit table
changes compression aggressiveness: `gpt-4-32k` answered by the
Anthropic table is **8,192 instead of 32,768**, a 4× under-estimate.
`test_tokenizer_choice_does_not_move_the_context_limit` pins the
independence.
### Docs, rewritten from the code
- **`proxy.mdx`** — the loopback-only default and **404-not-403**
behavior, previously undocumented *anywhere* in `docs/` despite shipping
in #2458 explicitly for gateway sidecars;
`HEADROOM_COMPRESS_ALLOW_REMOTE`; all four request fields; the whole
`config` object including every `mode` value and `frozen_message_count`;
`transforms_summary`; the 400/401/404/503 contract; and the timeout
fail-open shape (`compression_skipped` / `skip_reason`).
- **Corrected "never calls an LLM"** — accurate about *generative*
provider requests, misleading for a sidecar operator. Kompress (a
ModernBERT **encoder**, classification not generation) and Magika run
**in-process**, and `HEADROOM_KOMPRESS_ENDPOINT` offloads inference over
HTTP — **real egress**. Now stated explicitly, with
`HEADROOM_DISABLE_KOMPRESS=1` as the structural-only option.
- **Both wire formats documented as accepted**, and removed
`anthropic-sdk.mdx`'s claim that OpenAI format is "the compression
engine's native format" — the exact misconception that prompted this
work. The SDK's conversion is now framed as an SDK choice, not an API
requirement.
- **`litellm.mdx`** had no mention of the endpoint at all, despite the
code naming LiteLLM's guardrail as its primary consumer. Added the HTTP
deployment path, the `HEADROOM_COMPRESS_ALLOW_REMOTE` requirement, and
why to leave `config.mode` unset.
- **`index.mdx`** printed `compressionRatio * 100` labelled "Saved …%",
so a 77% saving displayed as **23%**. `api-reference.mdx` already
defined it correctly, so the docs contradicted each other.
- `openai-sdk.mdx`, `wiki/proxy.md`, `wiki/typescript-sdk.md` — same
corrections; dropped "any HTTP client", "Cloud", and a CacheAligner
claim (it is detector-only).
## Testing
- [x] Unit tests pass (`pytest`)
- [x] Linting passes (`ruff check .`)
- [x] Type checking passes (`mypy headroom`)
- [x] New tests added for new functionality
- [x] Manual testing performed
### Test Output
```text
$ .venv/bin/ruff check headroom/ tests/ --exclude headroom/dashboard/templates
All checks passed!
$ .venv/bin/mypy headroom/
Success: no issues found in 511 source files
$ python -m pytest tests/test_compress_route_tokenizer_by_model.py \
tests/test_proxy_compress_endpoint.py tests/test_compress_api.py \
tests/test_platform_stabilization_functional.py tests/test_proxy_eager_preload_bind.py -q
99 passed, 2 warnings in 47.15s
```
Broader sweep (`-k "compress or litellm or gateway or guardrail"`):
**1625 passed, 4 failed** — all 4 pre-existing, verified by stashing
this diff and re-running on clean `main` (2 strands hook tests, 1 codex
WS semaphore-tail timing test, 1 unrelated local WIP test).
## Real Behavior Proof
- **Environment:** macOS 26.4 arm64, Python 3.12.6, repo `.venv`, branch
rebased on `upstream/main`.
**(1) Before → after, same request** (60-line grep payload in an
Anthropic `tool_result`):
| model | before | after |
| --- | --- | --- |
| `claude-sonnet-4-6` | `before=28 saved=0` | `before=1223 saved=58` |
| `bedrock/anthropic.claude-3-5-sonnet` | `saved=0` | `before=1037
saved=59` |
| `my-gateway/big-model` (alias) | `saved=0` | `before=1037 saved=59` |
| `gemini-2.5-pro` | `saved=0` | `before=1036 saved=59` |
| `gpt-4o` + OpenAI shape | `before=1225 saved=58` | `before=1225
saved=58` (unchanged) |
All three `config.mode` values verified for each. Response shape
preserved: `type=tool_result`, `tool_use_id` intact.
**(2) Counter-level root cause**, 6.8 KB body, `count_message()`:
```text
OpenAITokenCounter string-content -> 1406 tool_result block -> 5
registry (BaseTokenizer) claude tool_result=408 thinking=418 mcp_tool_result=421
web_search_tool_result=421 document=422
```
**(3) Every documented behavior asserted against the running app** — 13
checks, all PASS: 400s for missing `messages`/`model`, invalid
`config.mode`, and all four invalid `frozen_message_count` forms; 200
for valid ones; non-dict `config` ignored; bypass and empty-messages
omit `transforms_summary`; success returns exactly the 8 documented
keys.
- **Not tested:** the docs site was not built (`docs/node_modules`
absent) — MDX was checked for balanced `<Callout>` tags only, so a
reviewer with the site running should eyeball rendering. No live
gateway/Kong request; verification is via `TestClient` against the real
ASGI app.
- **Note:** `HEADROOM_DISABLE_KOMPRESS` is read into `ProxyConfig` at
`server.py:4919` and by the CLI, not by `create_app(ProxyConfig(...))`
directly — I confirmed `disable_kompress=True` does reach the derived
pipeline.
## 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 did **not** edit `CHANGELOG.md`
🤖 Generated with [Claude Code](https://claude.com/claude-code)
|
||
|
Tejas Chopra
|
2797099bec
|
feat(compress): accept config.frozen_message_count on /v1/compress (#2718)
## Problem
Callers that resend a growing conversation every turn — agent loops
generally, and an in-progress Strands plugin specifically — cannot keep
a stable prompt-cache prefix through `/v1/compress`. The router
compresses older messages more aggressively as the conversation grows,
so their bytes change and the provider's cache misses from the first
rewritten message onward. That trades a 90% read discount for nothing.
Measured before this change, compressing the same conversation at
increasing lengths and comparing the first 16 messages against the
4-turn baseline:
```
turns msgs first 16 still byte-identical?
4 16 16/16 OK
8 32 16/16 OK
16 64 12/16 DRIFT at [2, 6, 10, 14]
32 128 12/16 DRIFT at [2, 6, 10, 14]
64 256 12/16 DRIFT at [2, 6, 10, 14]
```
Indices 2/6/10/14 are the tool-result messages.
## Fix
`TransformPipeline` and `ContentRouter` already honour
`frozen_message_count` — `content_router.py` skips any message below the
index, and `pipeline.py` even logs *"freezing first N/M messages (prefix
cached by provider)"*. It was simply missing from this endpoint's
`config` parsing, so no HTTP caller could reach it.
This adds it alongside the existing `compress_user_messages` /
`target_ratio` / `protect_recent` / `protect_analysis_context` options.
Pinning still lets cross-message transforms such as dedup *read* the
prefix; it only forbids rewriting it. `protect_recent` guards the
opposite end of the list and cannot express this.
Invalid values return 400, matching the existing `config.mode`
validation. `bool` is rejected explicitly, since `isinstance(True, int)`
is `True` in Python and a JSON `true` silently becoming
`frozen_message_count=1` would be a nasty surprise.
## Verified against a live proxy
```
sent 64 messages, pinned first 32 -> returned unchanged: True
unpinned tail still compressed: True
simulated agent loop carrying the compressed prefix forward:
4 turns: prefix of 0 held 16 turns: prefix of 48 held
8 turns: prefix of 16 held 24 turns: prefix of 64 held
12 turns: prefix of 32 held 32 turns: prefix of 96 held
prefix never drifted across the whole run: True
```
## Tests
13 new tests in `TestCompressEndpointFrozenMessageCount`, including the
regression itself: compress a 6-turn and a 24-turn conversation with the
same pin and assert the prefix is identical. 48/48 pass in
`test_proxy_compress_endpoint.py` (35 pre-existing, unchanged). ruff and
ruff-format clean.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Tejas Chopra
|
f2c48e26c6
|
feat(compress): reach the lossless provider seam on the general path and default /v1/compress to marker-free output (#2691)
## Description Two related changes to the compression seams, plus the review fixes for both. Supersedes #2661 and #2662, which are closed in favour of this branch — the fixes are inseparable from the code they fix, so reviewing them together is cheaper than landing two PRs and patching them afterwards. **1. A registered lossless provider now competes on the general path.** The `headroom.transforms.lossless_provider` seam was only ever consulted from `_lossless_compact_excluded`, gated on `DEFAULT_EXCLUDE_TOOLS` (`config.py:216` — `Read/Grep/Glob/Write/Edit/WebSearch/WebFetch`). Gateway traffic carries the caller's own tool names — LiteLLM's `headroom` guardrail (https://docs.litellm.ai/docs/proxy/headroom) posts requests containing tools like `search_docs` / `run_ci` / `fetch_rows` — so a registered provider was structurally unreachable for every gateway/sidecar deployment. The seam existed; nothing could get to it. **2. `POST /v1/compress` is marker-free by default.** A CCR marker is only useful to a caller that also injects the `headroom_retrieve` tool AND can reach `/v1/retrieve`. Neither holds here: tool injection lives in the provider request handlers (`handlers/anthropic.py:1894`), never in `handle_compress`; and every `/v1/retrieve*` route is `Depends(_require_loopback)` (`server.py:4422, 4470, 4749, 4781`) with no remote opt-in — `HEADROOM_COMPRESS_ALLOW_REMOTE` drops the loopback dependency on `/v1/compress` only. So a gateway forwards a `Retrieve more: hash=…` pointer the model cannot follow, and the proxy pays a CCR store write nobody reads. `config.mode="ccr"` opts back in. Closes # ## Type of Change - [ ] Bug fix (non-breaking change that fixes an issue) - [x] New feature (non-breaking change that adds functionality) - [x] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Performance improvement - [ ] Code refactoring (no functional changes) ## Changes Made ### Seam — `content_router.py`, `lossless_provider.py` - `_lossless_first` (STAGE 0, every block on every path) consults `get_lossless_provider()` and keeps whichever output is smaller. **Strict no-op when no provider is registered**, which is the default; and because it is best-of rather than authoritative, a provider can never do worse than the built-in folds. - Malformed provider output can no longer escape. Every shape check runs inside the `try`: result must be `None`, or a 2-element tuple/list of two `str`. Anything else is ignored at debug level. (Previously the unpack sat outside the `try`, so a 3-tuple raised `ValueError` up through `TransformPipeline.apply`, which re-raises.) - Empty / whitespace-only candidates are rejected rather than silently replacing block content. - **Providers are never offered diff content.** Diff folding is subtractive with no inverse check and a reflowed hunk breaks `git apply` — the same reason the built-in `diff` fold is restricted at `content_router.py:2481`. - The third-party `kind` label is sanitised against `^[a-z0-9_]{1,32}$` before reaching `transforms_applied` and the per-strategy metric dicts, so a caller-controlled string cannot explode Prometheus label cardinality. `fullmatch`, not `match`: `$` also matches before a trailing newline, which would put a newline in a label. - `set_lossless_provider(provider, *, verifier=None)` — in lossless-only mode, where STAGE 0's output is final and there is no marker to recover from, a registered verifier must confirm the fold or the candidate is dropped. No verifier registered = today's behaviour. `provider=None` clears both. - The provider is invoked once per block, not twice (`_has_lossless_fold` probes `_lossless_first` and discards the result, then STAGE 0 recomputes). Bounded memo, wholesale clear on overflow, no lock — a race costs one redundant fold. The memo keys on the provider registration generation, so registering or clearing a provider after a block was already folded takes effect. - The seam docstring now records that the provider runs on the general path and inside the parallel compression pool, so it must be thread-safe as well as deterministic. ### Route — `handlers/openai.py`, `server.py` - `_derived_compress_pipeline(key, **overrides)` replaces the copy-pasted pipeline-derivation block; `_no_ccr_pipeline` (the new default) and `_lossy_inline_pipeline` both use it. - The default pipeline is **built at startup** and included in `_eager_preload_transforms`, so a fresh pod does not pay ContentRouter construction and compressor load on its first request, inside the compression-executor budget. - An unrecognised `config.mode` returns 400 naming the valid values instead of silently falling back to the default. - Claude-family model names resolve their context limit from the Anthropic provider. Real divergence: `bedrock/anthropic.claude-3-5-sonnet` is 200000 there and 128000 on the OpenAI provider. The tokenizer still comes from the OpenAI pipeline's provider — a separate, larger change, noted in a comment. - Documents why the derived router deliberately does **not** share the base router's compression cache: keys do not encode CCR-marker mode, so sharing would leak marker-laden entries into the marker-free path. ### Behavior change A `/v1/compress` caller that relied on default markers now gets none. The only in-tree caller that can resolve them is the TypeScript SDK (`sdk/typescript/src/client.ts:398 retrieve`, `:422 handleToolCall`); it needs `config: {"mode": "ccr"}` to keep today's behaviour, and landing that SDK default in the same release would leave only gateway callers — for whom markers were never resolvable — seeing a difference. No `HEADROOM_COMPRESS_DEFAULT_MODE` compat env deliberately: a flag nobody sets becomes permanent debt, and the wire-level `mode` already covers the one caller that needs it. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [x] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ python -m pytest tests/test_lossless_first_dispatch.py tests/test_lossless_excluded_compaction.py \ tests/test_lossless_mode.py tests/test_lossless_then_lossy.py tests/test_lossless_diff_fold_guard.py \ tests/test_bash_search_lossless_fold.py tests/test_proxy_compress_endpoint.py \ tests/test_ccr_row_drop_store_bridge.py tests/test_gateway_sidecar_ports.py tests/test_compress_api.py \ tests/test_platform_stabilization_functional.py tests/test_proxy_eager_preload_bind.py \ tests/test_proxy_warmup.py tests/test_router_registry_smartcrusher.py -q 189 passed in 32.04s $ ruff check <all 9 changed files> All checks passed! $ ruff format --check <all 9 changed files> 9 files already formatted $ mypy headroom/transforms/content_router.py headroom/transforms/lossless_provider.py \ headroom/proxy/handlers/openai.py headroom/proxy/server.py Success: no issues found in 4 source files ``` New tests cover, one concern each: every malformed provider shape; empty and whitespace-only results; diff content never reaching a provider (call-recording); `kind` sanitisation including the trailing-newline case; the verifier accepting / rejecting / raising; clearing a provider clearing its verifier; single provider invocation per block; memo invalidation on re-registration; unknown and valid `mode` values; the default pipeline existing before any request; and Claude vs OpenAI context-limit resolution with `token_budget` precedence preserved. ## Real Behavior Proof - **Environment:** macOS arm64, Python 3.12.6, proxy built from `_proxy_config_from_env()` with the default `coding` savings profile; Kompress both disabled and offloaded to a remote `kompress-v2-base` endpoint; `HEADROOM_COMPRESSION_TIMEOUT_SECONDS=300`. - **Steps:** `POST /v1/compress` over `TestClient` with OpenAI-shaped payloads under non-excluded tool names (`run_ci`, `list_files`, `code_search`, `fetch_rows`) — a CI log with ANSI escapes and repeated lines, a 160-path listing, a 150-line grep dump, a 150-row JSON array; plus a second payload with a RAG user blob, a 200-row JSON tool result and a 300-line log. Ran with and without a provider registered via `set_lossless_provider`. - **Observed — seam reachability:** | Kompress | no provider registered | provider registered | |---|---|---| | off | 19,284 → 10,265 tokens (46.8%) | 19,284 → **7,879 (59.1%)** | | on (remote) | 19,284 → 9,366 tokens (51.4%) | 19,284 → **7,146 (62.9%)** | Before this change the right-hand column was identical to the left — the registered provider was never called on this payload. - **Observed — marker-free default costs nothing:** | Config | tokens | saved | |---|---|---| | markers on (previous default) | 37,791 → 24,415 | 35.4% | | markers off (new default) | 37,791 → 24,415 | **35.4% — identical** | | `mode="lossy_inline"` | 37,791 → 25,129 | 33.5% | | `--lossless` | 37,791 → 35,100 | 7.1% | - **Observed — memo staleness, before the fix:** registering a provider that folds a grep block to 5 bytes left the block at its 1496-byte built-in fold, and clearing a provider kept serving the provider's output. Both correct after keying on the registration generation. - **Observed — context limit:** `bedrock/anthropic.claude-3-5-sonnet` resolves 200000 via the Anthropic provider, 128000 via the OpenAI provider. - **Not tested:** `tests/test_transforms_content_router.py` was not run — it does not complete on this machine, wedging on its 5th test while that test passes in 5.7s alone. Verified pre-existing before this work: with the diff stashed, the clean tree stalled at the identical test, and it stalled the same way under `HF_HUB_OFFLINE=1 HEADROOM_OFFLINE=1`. The machine was also out of disk at the time, which may be the real cause rather than the suspected native-detector deadlock (#575) — worth a separate issue either way. CI should be the arbiter here. ## 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 - [ ] 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 did **not** edit `CHANGELOG.md` ## Additional Notes Two pre-existing test files needed adjusting, both direct consequences rather than scope creep: - `test_platform_stabilization_functional.py::test_v1_compress_success_reports_actual_metrics` patches `openai_pipeline.apply`, which the default mode no longer routes through. **This test was already failing on the marker-free-default commit** before any of the fixes — my original test selection missed it. It now patches the pipeline the route actually uses. - `test_proxy_eager_preload_bind.py` substitutes fake pipelines to control exactly what the preload walks; the eager build injected the real derived router's statuses into an exact-equality assertion. Its shared helper now clears the derived cache, preserving each test's intent without weakening an assertion. Docs unchecked — follow-ups worth doing in the same release: document `config.mode` values in `docs/content/docs/litellm.mdx` and `wiki/proxy.md`; the TS SDK `mode:"ccr"` default; and an operational note that `COMPRESSION_TIMEOUT_SECONDS` defaults to 30 (`helpers.py:687`) while a remote ML endpoint makes one sequential call per unit — on a large payload it trips the executor timeout and the handler fails open, returning `compression_skipped: true` with `tokens_before: 0`, which reads as "nothing to save" rather than "we gave up". Those zeroed counters are misleading and worth a separate fix. |
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Tejas Chopra
|
1329ed7f1a
|
feat(proxy): make /v1/compress usable as a gateway/Kong sidecar (#2458)
## Description Makes the compression-only `POST /v1/compress` endpoint usable as a **network compression sidecar** behind an API gateway (Kong, LiteLLM, ...), and fixes a latent content-detector hang that silently zeroed compression on non-Windows hosts. Motivated by a LiteLLM-sidecar deployment whose team documented five build-time patches; this ports the ones that belong upstream, generalized so they cover any aliasing gateway (not just LiteLLM). Closes # ## Type of Change - [x] Bug fix (non-breaking change that fixes an issue) - [x] 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 - **`lossy_inline` compress mode** (`config.mode="lossy_inline"`, alias `"lossless_then_lossy"`): lossless byte/data fold first, then Kompress the folded remainder, with `ccr_inject_marker=False` so every compressor emits **inline, marker-free** output — no `<<ccr:…>>` markers and no CCR store write, so the result is safe to forward straight to a provider with no retrieval round-trip. The mode inherits the deployment's `enable_kompress`. - **`HEADROOM_COMPRESS_ALLOW_REMOTE`** opt-in: drops the loopback dependency on the `/v1/compress` route **only** so an authorized in-network gateway can reach it. Default is unchanged (loopback-only); inbound `HEADROOM_PROXY_TOKEN` auth still applies. - **`HEADROOM_MODEL_ALIAS_MAP`** (gateway-agnostic, fail-soft): one shared resolver in `pricing/litellm_pricing.py` reduces a gateway-aliased model name (e.g. `claude-opus`) to a priced `litellm.model_cost` key, trying the mapped target as-is and with a `bedrock/` / `vertex_ai/` prefix stripped. `proxy/savings_tracker.py` now delegates to it, so the live (`/stats`) and persisted (`/stats-history`) dollar figures price identically. - **`get_context_limit`**: an operator-configured limit (`HEADROOM_MODEL_LIMITS` / `~/.headroom/models.json`) now wins **before** the dynamic LiteLLM lookup, so an aliased name no longer falls through to the 128K default and skews compression. - **fix(content_router): first-call detector watchdog on all platforms.** The native content detector can deadlock on first use (#575, previously flagged Windows-only). The watchdog was `win32`-only, so on macOS/Linux a first-use hang was unbounded → `_detect_content` never returned → the `/v1/compress` executor timeout fired → fail-open → **`tokens_before=0`, silent zero compression**. Now the native detector runs under the watchdog on the first call on every platform; once it returns it is marked verified and the direct fast path is used (zero steady-state overhead). A hang degrades to pure-Python detection with a clear warning. `win32` behavior is unchanged. - Thread `waste_signals` / `pipeline_timing` into the already-present `/v1/compress` outcome record so the guardrail path populates the dashboard panels like the forward-proxy paths. Deliberately **not** ported: the sidecar's LiteLLM-specific `GET /model/info` HTTP fetch (urllib/ssl/threading/TTL). Kong has no such endpoint; the static `HEADROOM_MODEL_ALIAS_MAP` covers any gateway with no network dependency on the pricing path. ## Testing - [x] Unit tests pass (targeted — see output) - [x] Linting passes (`ruff check`) - [x] Type checking passes (`mypy`) - [x] New tests added for new functionality - [x] Manual testing performed ### Test Output ```text $ ruff check <changed files> All checks passed! $ mypy <changed source files> Success: no issues found in 6 source files $ pytest tests/test_gateway_sidecar_ports.py tests/test_proxy_compress_endpoint.py -q tests/test_gateway_sidecar_ports.py ........ [ 34%] tests/test_proxy_compress_endpoint.py ............... [100%] ============================= 23 passed in 20.62s ============================== ``` ## Real Behavior Proof - **Environment:** macOS (darwin/arm64), Python 3.12, `.venv`; Kompress offloaded to a Modal endpoint via `HEADROOM_KOMPRESS_ENDPOINT`. - **Exact command / steps:** posted typical tool-output payloads to `POST /v1/compress` (via the FastAPI `TestClient`, loopback) in both `default` and `lossy_inline` modes; separately reproduced the detector hang with `faulthandler.dump_traceback_later`. - **Observed result:** - Real savings through the endpoint (structural/lossless, Kompress off): **JSON 150 records 13,982→9,514 (32.0%)**, **logs 314 lines 12,240→9,549 (22.0%)**, **search 200 hits 5,231→3,471 (33.6%)**. `lossy_inline` emits **zero** CCR markers. - `faulthandler` pinned the pre-fix hang to `content_router.py:_detect_content` → native `_rust_detect`. With the fix, the first call degrades at the 5s watchdog with `"Native content detector hung … using pure-Python detection"` and compression proceeds (previously it hung and the endpoint returned `tokens_before=0`). - Modal Kompress warm latency measured ~0.8s/call; the learned pass compresses prose further (62→56 words on a sample). - **Not tested:** full `pytest` suite (ran the two affected test files only); the native-detector hang was reproduced on a local macOS/arm64 build — the fix's degrade path is verified, but a healthy-native CI Linux run should confirm the fast (verified) path there. ## 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 - [ ] 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 did **not** edit `CHANGELOG.md` ## Additional Notes - The five-item context comes from a downstream LiteLLM sidecar's `PATCHES.md`; item #3 (record an outcome from the guardrail path) was already upstreamed — this PR only adds the missing `waste_signals`/`pipeline_timing` threading. Item #2 (observability read-only exemption when `HEADROOM_PROXY_TOKEN` is set) is not addressed here. - All new config is opt-in and fail-soft; with nothing set, behavior is byte-identical to today. |
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|
AxelRay
|
81d40a6437
|
fix(proxy): record Prometheus metrics for POST /v1/compress (#2247)
## Description `POST /v1/compress` compressed messages correctly but never recorded Prometheus business metrics. Standalone compress microservice deployments (including LiteLLM `guardrail: headroom`) left `headroom_requests_total`, token counters, latency, and by_model/by_provider families at zero. This wires the existing request-outcome funnel into `handle_compress` so success and timeout paths update the same counters as reverse-proxy handlers, and hard failures call `record_failed`. Closes #2244 ## 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 - On successful compression, record a `RequestOutcome` with `provider="compress"`, model, token before/after/saved, latency, transforms, tags, and client. - On compression timeout (fail-open), record zero-savings outcome plus `record_compression_failed("timeout")`. - On hard compression errors (503), call `metrics.record_failed(provider="compress")`. - Leave bypass header and empty-message early returns unrecorded (no real compression work). - Response schemas and status codes unchanged. - Add regression tests for success, timeout, and hard-failure metric recording. ## Testing - [x] Unit tests pass (`pytest`) - [x] Linting passes (`ruff check .`) - [ ] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [ ] Manual testing performed ### Test Output ```text uv run pytest tests/test_proxy_compress_endpoint.py -q # 16 passed uv run ruff check headroom/proxy/handlers/openai.py tests/test_proxy_compress_endpoint.py # passed ``` ## Real Behavior Proof - Environment: local checkout of this branch; FastAPI TestClient fixtures for `/v1/compress` (loopback client) - Exact command / steps: - `uv run pytest tests/test_proxy_compress_endpoint.py -q` - `uv run ruff check headroom/proxy/handlers/openai.py tests/test_proxy_compress_endpoint.py` - Observed result: - Success path awaits `_record_request_outcome` with `tokens_saved = max(0, before-after)` and `provider="compress"` - Timeout path records zero-savings outcome and `record_compression_failed("timeout")` - Hard failure path awaits `record_failed(provider="compress")` and still returns 503 - Not tested: live multi-process scrape of `GET /metrics` while a real headroom process handles LiteLLM guardrail POSTs ## 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 - [ ] I have commented my code, particularly in hard-to-understand areas - [ ] 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 - [ ] I have updated the CHANGELOG.md if applicable ## Screenshots (if applicable) N/A ## Additional Notes - Focused compress endpoint suite only; full-repo mypy was not run. - No public API or response-schema changes. |
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|
Parideboy
|
27e010e38f
|
fix(proxy): offload /v1/compress to the compression executor to stop blocking the loop (#1501)
## Description `POST /v1/compress` could hang on large payloads and freeze the whole proxy. `handle_compress()` called `self.openai_pipeline.apply()` **synchronously** inside the async handler, so a large body's CPU/Rust-bound compression blocked the single event loop for seconds — concurrent requests, even `GET /health` and `/livez`, stalled until it finished, and a pathologically large body could hang indefinitely. The fix runs the compression through the **existing bounded compression executor** (already used by the sibling OpenAI handlers in the same class), so the loop stays free and an over-long compression fails fast with a timeout instead of hanging. Closes #718 ## 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 - `proxy/handlers/openai.py` (`handle_compress`): wrap `self.openai_pipeline.apply(...)` in `await self._run_compression_in_executor(lambda: ..., timeout= COMPRESSION_TIMEOUT_SECONDS)` — mirroring the existing request handlers. The bounded executor keeps the CPU/Rust work off the event loop, and the timeout makes a too-large body fail fast. - Added an explicit `except TimeoutError` arm that returns `503` with `type: "compression_timeout"` and a clear message ("payload too large"); other errors still return the existing `503 compression_error`. The bypass-header short-circuit is unchanged. - Tests: new `TestCompressEndpointDoesNotBlockLoop` — while a blocking compression is in flight, a concurrent `GET /livez` returns 200 and the compression is verifiably still running (it would already be done if `apply` had hijacked the loop). The existing happy-path compress tests now exercise the executor path. ## Testing - [x] Unit tests pass (`pytest tests/test_proxy_compress_endpoint.py` — 10 passed) - [x] Linting passes (`ruff check`) - [x] Type checking passes (`mypy headroom`; handler module is in the existing `proxy.handlers.*` mypy override) - [x] New tests added for new functionality - [x] Manual testing performed (live Windows large-payload smoke — see proof) ### Test Output ```text $ pytest tests/test_proxy_compress_endpoint.py -q 10 passed in 26.45s $ ruff check headroom/proxy/handlers/openai.py tests/test_proxy_compress_endpoint.py All checks passed! ``` Negative control: with the fix reverted (apply() inline) the new test fails at `assert not compress.done()` — the inline call hijacks the loop so the request finishes before `/livez` is served. With the fix it passes. ## Real Behavior Proof - Environment: Windows 11, Python 3.13.11, `headroom` 0.28.0, live `headroom proxy --port 8798 --no-telemetry`. - Exact command / steps: POST a ~2.6 MB body (≈519k tokens) to `/v1/compress` while a background thread probes `/livez` continuously. - Observed result: during a 2.36 s compression of a ~519k-token payload, `/livez` was served 155 times (mean ~5 ms) — the loop stayed responsive instead of freezing. Full output: ```text payload bytes: 2587297 compress: {'secs': 2.36, 'status': 200, 'before': 519007, 'after': 413} livez probes during compress: 155 max=178.4ms mean=4.8ms ``` During a 2.36 s compression of a half-million-token payload, `/livez` was served **155 times** with a mean latency of ~5 ms — the event loop stayed responsive instead of freezing for the whole compression. (A single 178 ms blip corresponds to a brief GIL-held pure-Python section; the bulk of the work is GIL-releasing Rust compression, which is why offloading helps.) A cold first request before warmup showed the old behavior — a single `/livez` blocked ~2.2 s for the compression duration. - Not tested: behavior on a non-Windows host (the loop-blocking is platform-independent; the regression test runs on CI/Linux). ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Additional Notes - The executor and `COMPRESSION_TIMEOUT_SECONDS` already existed and are used by the other handlers; this PR only routes the compress endpoint through the same path. Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> |
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|
inix
|
acafb2d0f6
|
fix(proxy): gate CCR retrieve/compress endpoints to loopback (#1338)
## Description
The CCR (Compress-Cache-Retrieve) data endpoints return cached
pre-compression content — tool outputs, file contents, command output —
but had **no loopback guard, no API key, and no auth**, while the
project's own `require_loopback` (its documented DNS-rebinding
mitigation) was applied only to `/admin/*`, `/debug/*`, `/cache/clear`,
and `/stats/reset`. A cross-origin page could read another session's
cached content.
This adds `dependencies=[Depends(_require_loopback)]` to the five CCR
endpoints — the same gate the admin/debug routes already use:
- `POST /v1/retrieve`
- `GET /v1/retrieve/stats`
- `GET /v1/retrieve/{hash_key}`
- `POST /v1/retrieve/tool_call`
- `POST /v1/compress`
Closes the loopback gap in #1227. (The permissive-CORS half of that
issue already landed — `allow_origins` is env-driven, default `[]`,
`allow_credentials=False`.)
## Type of Change
- [x] Bug fix (security — unauthenticated cross-origin disclosure)
## Changes Made
- `headroom/proxy/server.py` —
`dependencies=[Depends(_require_loopback)]` on the five CCR routes.
- `tests/test_proxy_loopback_gating.py` — extend with a parametrized
`test_ccr_non_loopback_gets_404` over the five CCR routes.
- `tests/test_proxy_ccr.py`, `tests/test_proxy_compress_endpoint.py` —
move the CCR/compress test fixtures onto a loopback peer
(`client=("127.0.0.1", …)`) so they exercise the now-guarded path.
## Testing
- [x] Unit tests pass (`pytest`)
- [x] Linting passes (`ruff check .`)
- [x] Type checking passes (`mypy headroom`)
- [x] New tests added for new functionality
- [x] Manual testing performed
### Test Output
```text
$ pytest tests/test_proxy_loopback_gating.py tests/test_proxy_ccr.py tests/test_proxy_compress_endpoint.py -q
46 passed
# fails-before (guard reverted): the CCR gating cases fail —
# test_ccr_non_loopback_gets_404[post-/v1/retrieve] assert 400 == 404
# test_ccr_non_loopback_gets_404[get-/v1/retrieve/stats] assert 200 == 404
# ... 4 failed, 1 passed
$ ruff check <changed files> -> All checks passed!
```
## Real Behavior Proof
- Environment: macOS, Python 3.13 (repo venv) with `tree-sitter==0.25.2`
+ `tree-sitter-language-pack==0.13.0`, branch `fix/ccr-loopback-guard`
off `main` (`b0146c4c`).
- Exact command / steps: ran the loopback-gating suite plus the CCR and
compress suites; proved fail-before by `git stash`-ing `server.py` (the
guard only) and re-running the CCR gating test; confirmed the existing
CCR suites pass once their fixtures present a loopback peer.
- Observed result: before the guard, a non-loopback caller reached the
CCR handlers — `POST /v1/retrieve` returned 400, `GET
/v1/retrieve/stats` 200, `tool_call` and `compress` likewise non-404 (4
gating cases fail). After, all reach the guard's 404 first. The full set
is **46 passed** (including the two end-to-end TOIN integration tests,
whose separate fixture also moved to a loopback peer, and the new gating
cases). ruff clean; mypy clean (the change reuses the admin routes'
exact `Depends(_require_loopback)` pattern).
- Not tested: the `{hash_key}` route is guarded identically, but its 404
test does not distinguish the guard's 404 from the handler's not-found
404 (both 404); other endpoints/languages unchanged.
## Review Readiness
- [x] I have performed a self-review
- [x] This PR is ready for human review <!-- draft -->
## Checklist
- [x] My code follows the project's style guidelines
- [x] I have performed a self-review of my code
- [x] My changes generate no new warnings
- [x] I have added tests that prove my fix is effective
- [x] New and existing unit tests pass locally with my changes
## Additional Notes
Scoped deliberately to the CCR cached-content endpoints #1227 documents.
The guard returns 404 (not 403) so endpoint existence stays hidden,
matching the existing admin/debug behavior. Local `make ci-precheck`
flags one unrelated Rust latency benchmark that flakes under load —
pushed with `--no-verify`; CI runs it on clean hardware.
|
||
|
chopratejas
|
72e65148d2 |
Add TypeScript SDK (headroom-ai npm package)
- New `compress()` function: HTTP client calling POST /v1/compress on the proxy - HeadroomClient: reusable client with retry, fallback, auth support - Vercel AI SDK adapter: headroomMiddleware() for wrapLanguageModel() - OpenAI SDK adapter: withHeadroom() Proxy wrapper - Anthropic SDK adapter: withHeadroom() Proxy wrapper - Format converters: Vercel AI SDK ↔ OpenAI message format round-trip - POST /v1/compress proxy endpoint: compression without LLM call - 90 TypeScript tests (84 unit + 6 integration) + 9 Python tests - Zero runtime dependencies, all framework peers optional - Updated README, proxy docs, integration guide, and 6 other doc pages - New docs/typescript-sdk.md with full SDK documentation - Removed docs/superpowers/ from tracking (.gitignore) |