mirror of
https://github.com/headroomlabs-ai/headroom.git
synced 2026-08-27 14:17:10 -04:00
## What
Two changes that let a proxy extension report **what it saved** and
**what it cost**, so both show up under `/stats`, the dashboard, and
Prometheus.
`record_scope_savings` already existed and already accepted `usd` — the
one channel in the proxy that can express savings *without* tokens. Two
things stopped it working end to end.
### 1. Savings were silently dropped on Gemini traffic (bug)
`bind_scope` shares one attribution ledger between ASGI middleware and
the request handler. Anthropic and OpenAI call it; **Gemini never did**,
so anything an extension recorded into the request scope was discarded
for Gemini traffic only — silently, because an empty ledger and an
unbound one are indistinguishable at the outcome funnel. Now bound at
all four Gemini tag sites.
### 2. An extension's own latency was invisible (gap)
`overhead_ms` is measured *inside* the handler, and an ASGI extension
**wraps** that handler — so every millisecond it spends reaches the
client while every timing surface stays flat. An extension that halves
the bill and adds 200 ms per request is a trade the operator has to see
both halves of, and only one half was reaching the dashboard.
`record_scope_timing(scope, stage, ms)` is the symmetric counterpart to
`record_scope_savings`, carried on the same bound ledger and merged into
`RequestOutcome.pipeline_timing` at the outcome funnel — one place, so
every provider picks it up at once.
## API surface
```python
from headroom.proxy.savings_attribution import record_scope_savings, record_scope_timing
record_scope_savings(scope, "my_extension", tokens=0, usd=0.004) # money without tokens
record_scope_timing(scope, "my_extension", elapsed_ms)
```
Both take the ASGI `scope`, because middleware has no other way in.
Documented in `extensions.py` — the module extension authors actually
read, and the stability contract for this interface.
- Savings → `/stats` `savings.by_source`, dashboard card,
`headroom_savings_attributed_usd_total{source=...}`
- Timing → `/stats` `pipeline_timing`, dashboard Performance panel,
`headroom_transform_timing_ms_*`
**Attribution only.** These rows explain the headline total; they are
never added to it.
## Changes to existing behavior
- `public_tags` now strips `_headroom_stage_timing` as well as
`_headroom_savings_attribution`. Both ride on `tags` because that is the
one dict reaching the outcome funnel from every handler, and a list and
a dict must not land in a string-keyed label store.
- `pipeline_timing` passed to `metrics.record_request` is merged rather
than passed through **only when an extension contributed timings**; with
no extension the handler's own dict is passed through unchanged
(asserted by identity in the tests).
- Stage names are extension-supplied, so they are capped at 16 and
namespaced `ext:` — `deep_copy` reported by a plugin must never
accumulate into the same series as `deep_copy` measured by the pipeline.
A handler's own timing wins a collision (unreachable while the prefix
stands; the safe way round if it ever goes).
## Failure modes
Both calls are bounded (32 sources, 16 stages), never raise, and never
change a response — telemetry from a plugin must not be able to break
the request it is describing. Non-positive and non-numeric durations are
ignored: a zero is a clock artifact, not an observation, and averaging
it in would drag the mean down exactly where the stage is cheapest to
skip. `timings_from_tags` tolerates junk on the tag.
## Test-double fix
Three Gemini test fakes (`FakeRequest`, `_FakeRequest`,
`_VertexGeminiImageRequest`) had no `.scope`, which every real Starlette
`Request` has. They now do. This is a double that had drifted from the
type it stands in for; the alternative was weakening the handler to
tolerate a request shape that cannot occur in production.
---
## Real behavior proof
**Setup:** macOS 15.4 (darwin 25.4.0), Python 3.12.13, this branch at
`c814b950`, real `create_app` proxy with `respx`-mocked Anthropic
upstream, a demo ASGI extension added via `app.add_middleware`.
**The extension** — written as a third party would, reporting `tokens=0`
because it re-routed `claude-opus-5` → `claude-haiku-4-5`: same tokens,
cheaper model. That is precisely the case no existing Headroom savings
channel can express, since all of them compute `saved = before - after`.
```python
class DemoRouter:
def __init__(self, app): self.app = app
async def __call__(self, scope, receive, send):
if scope.get("type") != "http":
return await self.app(scope, receive, send)
started = time.perf_counter()
record_scope_savings(scope, "routemegood", tokens=0, usd=0.173)
record_scope_timing(scope, "routemegood", (time.perf_counter() - started) * 1000)
await self.app(scope, receive, send)
```
**Ran:** three POSTs to `/v1/messages`, then `GET /stats` and `GET
/metrics`.
**Observed:**
```
upstream call -> 200
upstream call -> 200
upstream call -> 200
=== /stats savings.by_source (what the dashboard renders) ===
[
{
"source": "routemegood",
"realized": true,
"events": 3,
"tokens": 0,
"usd": 0.519
}
]
=== /stats pipeline_timing (dashboard Performance panel) ===
{
"ext:routemegood": {
"average_ms": 0.01,
"max_ms": 0.02,
"count": 3
}
}
=== /metrics ===
# HELP headroom_savings_attributed_tokens_total Tokens attributed to a savings source
# TYPE headroom_savings_attributed_tokens_total counter
headroom_savings_attributed_tokens_total{realized="true",source="routemegood"} 0
# HELP headroom_savings_attributed_usd_total Cost savings attributed to a source; may be negative
# TYPE headroom_savings_attributed_usd_total gauge
headroom_savings_attributed_usd_total{realized="true",source="routemegood"} 0.519
headroom_transform_timing_ms_sum{transform="ext:routemegood"} 0.03
```
`$0.519 = 3 × $0.173` — three requests, correctly accumulated, with
`tokens: 0` throughout.
**Also have (not a substitute for the above):** 22 new unit tests in
`tests/test_extension_attribution.py`, including four that drive the
real `_record_request_outcome` funnel via the same descriptor-binding
harness `test_request_outcome.py` uses.
Full suite on this branch: **10,989 passed, 578 skipped**. Three
failures —
`test_graceful_shutdown.py::test_run_server_installs_cancelled_error_filter`
(full-suite ordering; passes in isolation),
`test_learn/test_integration.py::TestCodexIntegration::test_full_pipeline`,
and `test_release_workflows.py::test_no_native_tls_in_wheel_build_tree`
(needs `cargo`) — **reproduce identically on clean `main`** (`2f4d001c`,
10,967 passed, same 3 failed). Verified by stashing this branch and
re-running the full suite on main in the same tree.
**What I did not test:** a live provider (upstream is `respx`-mocked);
the Gemini `bind_scope` fix against real Google traffic (covered by the
existing 114 Gemini tests, which all pass); the dashboard rendered in a
browser — I verified the JSON shape its templates bind to
(`stats.savings?.by_source`, `stats.pipeline_timing`) rather than the
pixels.
---
🤖 Generated with [Claude Code](https://claude.com/claude-code)
---------
Co-authored-by: Tejas Chopra <tejas@Tejass-MacBook-Pro.local>
Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
398 lines
13 KiB
Python
398 lines
13 KiB
Python
"""Attribution and timing contributed by proxy extensions.
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An extension that changes the bill has to be able to say so, or the operator
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sees a different total with nothing to explain it. The savings half of this
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already existed but only reached two of the three handler families; the timing
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half did not exist at all, so an extension's own latency was invisible —
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``overhead_ms`` is measured inside the handler that the extension wraps.
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"""
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from __future__ import annotations
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import math
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import pytest
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from headroom.proxy.savings_attribution import (
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MAX_STAGE_MS,
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MAX_STAGES,
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SAVINGS_ATTRIBUTION_TAG,
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STAGE_PREFIX,
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STAGE_TIMING_TAG,
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bind_scope,
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from_tags,
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public_tags,
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record_scope_savings,
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record_scope_timing,
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timings_from_tags,
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)
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def _scope() -> dict:
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return {"type": "http", "method": "POST"}
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# --- savings, from middleware ------------------------------------------------
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def test_middleware_savings_reach_the_handlers_tags() -> None:
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"""The contract: middleware records into the scope before the handler runs,
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the handler binds, and the outcome funnel reads one ledger."""
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scope = _scope()
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record_scope_savings(scope, "routemegood", usd=0.42)
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tags: dict = {}
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bind_scope(tags, scope)
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(row,) = from_tags(tags)
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assert row["source"] == "routemegood"
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assert row["usd"] == 0.42
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def test_savings_can_be_money_without_being_tokens() -> None:
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"""The gap this closes. Every other savings channel computes
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``saved = before - after`` and three of them refuse a non-positive value,
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so an extension that routes a request to a cheaper model — same tokens,
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smaller bill — could only report by inventing a token count nobody saved."""
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scope = _scope()
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record_scope_savings(scope, "model_router", tokens=0, usd=1.75)
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tags: dict = {}
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bind_scope(tags, scope)
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(row,) = from_tags(tags)
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assert row["tokens"] == 0
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assert row["usd"] == 1.75
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def test_a_projection_is_not_a_measurement() -> None:
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scope = _scope()
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record_scope_savings(scope, "guess", usd=1.0, realized=False)
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record_scope_savings(scope, "guess", usd=1.0, realized=True)
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tags: dict = {}
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bind_scope(tags, scope)
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assert sorted(row["realized"] for row in from_tags(tags)) == [False, True]
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# --- timing ------------------------------------------------------------------
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def test_middleware_timing_reaches_the_handlers_tags() -> None:
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scope = _scope()
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record_scope_timing(scope, "routemegood", 12.5)
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tags: dict = {}
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bind_scope(tags, scope)
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assert timings_from_tags(tags) == {f"{STAGE_PREFIX}routemegood": 12.5}
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def test_timing_is_additive_within_one_request() -> None:
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"""A middleware works in two passes — before ``call_next`` and after — and
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should be able to report each without tracking the total itself."""
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scope = _scope()
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record_scope_timing(scope, "ext", 4.0)
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record_scope_timing(scope, "ext", 2.5)
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tags: dict = {}
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bind_scope(tags, scope)
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assert timings_from_tags(tags) == {f"{STAGE_PREFIX}ext": 6.5}
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def test_extension_stages_are_namespaced() -> None:
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"""``deep_copy`` reported by a plugin and ``deep_copy`` measured by the
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pipeline must not accumulate into the same series."""
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scope = _scope()
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record_scope_timing(scope, "deep_copy", 1.0)
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tags: dict = {}
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bind_scope(tags, scope)
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assert list(timings_from_tags(tags)) == [f"{STAGE_PREFIX}deep_copy"]
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@pytest.mark.parametrize(
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"bad",
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[
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0,
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-1.0,
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None,
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"slow",
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float("nan"),
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float("inf"),
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float("-inf"),
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1e400,
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MAX_STAGE_MS + 1,
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],
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)
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def test_a_non_measurement_is_not_recorded(bad) -> None:
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"""Zero and negative are clock artifacts, not observations; averaging them
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in would drag the mean down exactly where the stage is cheapest to skip.
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Non-finite is worse than skew. Starlette encodes ``/stats`` with
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``allow_nan=False``, so one ``inf`` raises out of the JSON encoder — and it
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lands in process-wide metrics totals, so the endpoint stays broken until
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restart while the request that caused it returns 200.
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"""
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scope = _scope()
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record_scope_timing(scope, "ext", bad)
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tags: dict = {}
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bind_scope(tags, scope)
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assert timings_from_tags(tags) == {}
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def test_a_poisoned_ledger_is_rejected_on_read_too() -> None:
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"""The ledger is a plain dict reachable through ``tags``, so a handler can
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be handed one this module never wrote. The guarantee holds at the read."""
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assert timings_from_tags({STAGE_TIMING_TAG: {"ext:a": float("inf"), "ext:b": 2.0}}) == {
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"ext:b": 2.0
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}
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def test_accumulation_cannot_overflow_to_infinity() -> None:
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"""Two finite values can sum to ``inf``. Bounding each SAMPLE makes that
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unreachable rather than merely unlikely."""
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scope = _scope()
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for _ in range(4):
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record_scope_timing(scope, "ext", MAX_STAGE_MS)
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tags: dict = {}
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bind_scope(tags, scope)
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(total,) = timings_from_tags(tags).values()
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assert math.isfinite(total)
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def test_an_accumulated_total_may_exceed_the_per_sample_bound() -> None:
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"""The bound is on one sample, not on the sum. Testing it against the
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accumulated total would silently discard a stage that legitimately ran
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longer across many samples — throwing away real data to guard a value the
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write path cannot produce."""
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scope = _scope()
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for _ in range(3):
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record_scope_timing(scope, "ext", MAX_STAGE_MS)
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tags: dict = {}
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bind_scope(tags, scope)
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assert timings_from_tags(tags) == {f"{STAGE_PREFIX}ext": MAX_STAGE_MS * 3}
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@pytest.mark.parametrize("bad", [float("inf"), float("-inf"), float("nan")])
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def test_a_non_finite_amount_is_not_a_saving(bad) -> None:
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"""Pre-existing, and the same crash: ``usd=inf`` reaches ``/stats`` and
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raises out of the JSON encoder."""
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scope = _scope()
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record_scope_savings(scope, "buggy", usd=bad)
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tags: dict = {}
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bind_scope(tags, scope)
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assert from_tags(tags) == []
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@pytest.mark.parametrize("bad", [float("inf"), float("nan")])
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def test_a_non_finite_token_count_does_not_raise_inside_the_handler(bad) -> None:
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"""``int(inf)`` is an OverflowError, raised on a request that would
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otherwise have succeeded. A plugin's arithmetic bug must not become the
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proxy's 500."""
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scope = _scope()
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record_scope_savings(scope, "buggy", tokens=bad)
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tags: dict = {}
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bind_scope(tags, scope)
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assert from_tags(tags) == []
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def test_a_real_saving_still_records_after_the_guards() -> None:
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"""The direction that must not be lost while hardening the other one."""
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scope = _scope()
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record_scope_savings(scope, "routemegood", tokens=10, usd=0.5)
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record_scope_timing(scope, "routemegood", 3.0)
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tags: dict = {}
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bind_scope(tags, scope)
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assert from_tags(tags)[0]["usd"] == 0.5
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assert timings_from_tags(tags) == {f"{STAGE_PREFIX}routemegood": 3.0}
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def test_stage_cardinality_is_capped() -> None:
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"""Stage names are extension-supplied, so they are bounded like every other
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client-influenced label in this proxy."""
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scope = _scope()
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for i in range(MAX_STAGES * 4):
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record_scope_timing(scope, f"stage-{i}", 1.0)
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tags: dict = {}
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bind_scope(tags, scope)
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assert len(timings_from_tags(tags)) == MAX_STAGES
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def test_an_existing_stage_still_accumulates_at_the_cap() -> None:
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"""The cap bounds distinct names, not measurements. A stage already being
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tracked must keep accumulating or its total silently stops growing."""
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scope = _scope()
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for i in range(MAX_STAGES):
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record_scope_timing(scope, f"stage-{i}", 1.0)
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record_scope_timing(scope, "stage-0", 5.0)
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tags: dict = {}
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bind_scope(tags, scope)
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assert timings_from_tags(tags)[f"{STAGE_PREFIX}stage-0"] == 6.0
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def test_recording_before_any_bind_still_works() -> None:
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"""Ordering is not guaranteed: middleware runs first, and on a path where
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the handler never binds, nothing should raise."""
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scope = _scope()
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record_scope_timing(scope, "ext", 1.0)
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record_scope_savings(scope, "ext", usd=1.0)
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assert scope["state"]
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def test_recording_after_bind_is_seen_by_the_already_bound_tags() -> None:
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"""A middleware measures its own post-response work AFTER the handler has
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bound. Sharing one object rather than copying is what makes that land."""
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tags: dict = {}
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scope = _scope()
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bind_scope(tags, scope)
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record_scope_timing(scope, "ext", 3.0)
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record_scope_savings(scope, "ext", usd=0.5)
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assert timings_from_tags(tags) == {f"{STAGE_PREFIX}ext": 3.0}
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assert from_tags(tags)[0]["usd"] == 0.5
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def test_bind_is_idempotent() -> None:
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tags: dict = {}
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scope = _scope()
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bind_scope(tags, scope)
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record_scope_timing(scope, "ext", 1.0)
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bind_scope(tags, scope)
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record_scope_timing(scope, "ext", 1.0)
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assert timings_from_tags(tags) == {f"{STAGE_PREFIX}ext": 2.0}
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def test_timings_from_tags_tolerates_junk() -> None:
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for junk in (
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None,
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{},
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{STAGE_TIMING_TAG: "nope"},
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{STAGE_TIMING_TAG: []},
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{STAGE_TIMING_TAG: {"a": "b"}},
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):
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assert timings_from_tags(junk) == {}
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# --- the ledgers are structures, not labels ---------------------------------
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def test_neither_ledger_leaks_into_request_log_tags() -> None:
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"""They ride on ``tags`` because that is the one dict reaching the outcome
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funnel from every handler. A list and a dict must not land in a
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string-keyed label store."""
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tags: dict = {"client": "claude-code"}
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scope = _scope()
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bind_scope(tags, scope)
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record_scope_savings(scope, "ext", usd=1.0)
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record_scope_timing(scope, "ext", 1.0)
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assert public_tags(tags) == {"client": "claude-code"}
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assert SAVINGS_ATTRIBUTION_TAG not in public_tags(tags)
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assert STAGE_TIMING_TAG not in public_tags(tags)
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# --- through the outcome funnel ---------------------------------------------
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pytest.importorskip("fastapi")
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class _Harness:
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"""Just enough of HeadroomProxy to drive the real funnel method.
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Mirrors ``tests/test_request_outcome.py::_FunnelHarness`` — the real
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implementation is bound to the harness, so nothing under test is mocked.
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"""
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def __init__(self) -> None:
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from unittest.mock import AsyncMock, MagicMock
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from headroom.proxy.server import HeadroomProxy
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self.metrics = MagicMock()
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self.metrics.record_request = AsyncMock()
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self.cost_tracker = MagicMock()
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self.logger = None
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self._record_request_outcome = HeadroomProxy._record_request_outcome.__get__(
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self, type(self)
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)
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def _outcome(**overrides):
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from headroom.proxy.outcome import RequestOutcome
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defaults = {
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"request_id": "req-1",
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"provider": "anthropic",
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"model": "claude-sonnet-4",
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"original_tokens": 1000,
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"optimized_tokens": 1000,
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"output_tokens": 50,
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"tokens_saved": 0,
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"attempted_input_tokens": 1000,
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}
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defaults.update(overrides)
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return RequestOutcome(**defaults)
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@pytest.mark.asyncio
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async def test_extension_timing_reaches_pipeline_timing() -> None:
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"""The whole point of the timing half: ``pipeline_timing`` is what
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``/stats``, the dashboard's Performance panel and
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``headroom_transform_timing_ms_*`` are all built on."""
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scope = _scope()
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record_scope_timing(scope, "routemegood", 8.0)
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tags: dict = {}
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bind_scope(tags, scope)
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h = _Harness()
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await h._record_request_outcome(_outcome(tags=tags, pipeline_timing={"deep_copy": 1.0}))
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timing = h.metrics.record_request.await_args.kwargs["pipeline_timing"]
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assert timing == {"deep_copy": 1.0, f"{STAGE_PREFIX}routemegood": 8.0}
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|
|
|
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|
@pytest.mark.asyncio
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|
async def test_a_handler_timing_wins_a_name_collision() -> None:
|
|
"""Namespacing makes this unreachable today; it is asserted so that if the
|
|
prefix ever goes, a plugin still cannot overwrite a measurement the
|
|
pipeline made of itself."""
|
|
tags = {STAGE_TIMING_TAG: {"deep_copy": 99.0}}
|
|
|
|
h = _Harness()
|
|
await h._record_request_outcome(_outcome(tags=tags, pipeline_timing={"deep_copy": 1.0}))
|
|
|
|
timing = h.metrics.record_request.await_args.kwargs["pipeline_timing"]
|
|
assert timing["deep_copy"] == 1.0
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_no_extension_timing_leaves_pipeline_timing_untouched() -> None:
|
|
"""Including identity: a request with no extension must pass the handler's
|
|
own dict through, not a rebuilt copy of it."""
|
|
original = {"deep_copy": 1.0}
|
|
|
|
h = _Harness()
|
|
await h._record_request_outcome(_outcome(pipeline_timing=original))
|
|
|
|
assert h.metrics.record_request.await_args.kwargs["pipeline_timing"] is original
|
|
|
|
|
|
@pytest.mark.asyncio
|
|
async def test_extension_savings_reach_the_metrics_call() -> None:
|
|
scope = _scope()
|
|
record_scope_savings(scope, "routemegood", usd=0.42, tokens=0)
|
|
tags: dict = {}
|
|
bind_scope(tags, scope)
|
|
|
|
h = _Harness()
|
|
await h._record_request_outcome(_outcome(tags=tags))
|
|
|
|
attribution = h.metrics.record_request.await_args.kwargs["savings_attribution"]
|
|
assert [(row["source"], row["usd"]) for row in attribution] == [("routemegood", 0.42)]
|