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chopratejas--headroom/tests/test_cache_prefix_overlay.py
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chore: import upstream snapshot with attribution
2026-07-13 12:03:20 +08:00

160 lines
6.8 KiB
Python

# ruff: noqa: E402 — test sections import after helper/setup code by design.
"""overlay_cached_prefix: freeze must forward the CACHED (compressed) bytes.
The freeze path can emit the agent's ORIGINAL bytes for a frozen message, but
the provider cached whatever we FORWARDED last turn (the compressed form).
Forwarding original then mismatches the cached prefix and busts the prompt cache
(observed: 100% of misses were this ``prefix_change``, ~56% of all cache-writes).
``overlay_cached_prefix`` replays the previously-forwarded prefix byte-identical
so the cache still hits — in BOTH proxy modes.
"""
from headroom.cache.prefix_tracker import overlay_cached_prefix
def M(role, text):
return {"role": role, "content": text}
# Previous turn: 2 messages. Original was big; we FORWARDED the compressed form,
# so that compressed form is what the provider cached.
PREV_ORIG = [M("user", "READ foo.py:\n<2000 original lines>"), M("assistant", "ok")]
PREV_FWD = [M("user", "READ foo.py:\n<compressed>"), M("assistant", "ok")]
# This turn: agent appended one new message (append-only growth).
CUR_ORIG = PREV_ORIG + [M("user", "grep result:\n<800 original lines>")]
# What apply() produced in the buggy freeze path: ORIGINAL bytes for the frozen
# prefix (== PREV_ORIG) + compressed new tail.
OPTIMIZED_BUGGY = [PREV_ORIG[0], PREV_ORIG[1], M("user", "grep result:\n<compressed>")]
def test_replays_cached_compressed_prefix_byte_identical():
out = overlay_cached_prefix(OPTIMIZED_BUGGY, CUR_ORIG, PREV_ORIG, PREV_FWD)
# The frozen prefix now equals what the provider cached (compressed), NOT the
# agent's original bytes → cache hits instead of busting.
assert out[:2] == PREV_FWD
assert out[:2] != PREV_ORIG
# This turn's compressed tail is preserved.
assert out[2] == OPTIMIZED_BUGGY[2]
assert len(out) == len(CUR_ORIG)
def test_is_a_noop_relative_to_cache_when_already_correct():
# If the freeze path already forwarded the compressed (cached) prefix, the
# overlay reproduces exactly that — idempotent.
already_correct = [PREV_FWD[0], PREV_FWD[1], M("user", "grep result:\n<compressed>")]
out = overlay_cached_prefix(already_correct, CUR_ORIG, PREV_ORIG, PREV_FWD)
assert out == already_correct
def test_not_append_only_returns_unchanged():
# An early message changed → previous forwarded bytes may not correspond to
# the same positions; do NOT overlay (accept a possible bust over corruption).
changed = [M("user", "TOTALLY DIFFERENT"), PREV_ORIG[1], M("user", "x")]
out = overlay_cached_prefix(OPTIMIZED_BUGGY, changed, PREV_ORIG, PREV_FWD)
assert out == OPTIMIZED_BUGGY
def test_no_previous_state_returns_unchanged():
assert overlay_cached_prefix(OPTIMIZED_BUGGY, CUR_ORIG, None, None) == OPTIMIZED_BUGGY
assert overlay_cached_prefix(OPTIMIZED_BUGGY, CUR_ORIG, [], []) == OPTIMIZED_BUGGY
def test_forwarded_count_mismatch_returns_unchanged():
# Defensive: not exactly one forwarded message per original → bail.
assert (
overlay_cached_prefix(OPTIMIZED_BUGGY, CUR_ORIG, PREV_ORIG, PREV_FWD[:1]) == OPTIMIZED_BUGGY
)
def test_shorter_current_or_optimized_returns_unchanged():
assert overlay_cached_prefix([M("user", "x")], [M("user", "x")], PREV_ORIG, PREV_FWD) == [
M("user", "x")
]
def test_cache_hit_property_prefix_matches_last_forward():
# The invariant that guarantees a cache hit: forwarded[:n] this turn ==
# forwarded[:n] last turn (== what the provider cached).
out = overlay_cached_prefix(OPTIMIZED_BUGGY, CUR_ORIG, PREV_ORIG, PREV_FWD)
n = len(PREV_FWD)
assert out[:n] == PREV_FWD # exact byte-identical prefix → provider cache hit
# ============================================================================
# OpenAI function-calling frozen-count: tool_calls must be counted (Kimi bug)
# ============================================================================
# _estimate_message_tokens only counted `content` + Anthropic content-blocks,
# never OpenAI top-level `tool_calls`. So a function-calling assistant turn
# (content None, command in tool_calls) estimated to ~0, the frozen-prefix
# estimate overshot the real cache boundary, and the NEWEST delta got frozen —
# giving OpenAI/Kimi tool harnesses ~zero compression. These lock in the fix.
import json as _json
from headroom.cache.prefix_tracker import PrefixCacheTracker, PrefixFreezeConfig
def _openai_asst(cmd):
return {
"role": "assistant",
"content": None,
"tool_calls": [
{
"id": "c1",
"type": "function",
"function": {"name": "bash", "arguments": _json.dumps({"command": cmd})},
}
],
}
def test_estimate_counts_openai_tool_calls():
est = PrefixCacheTracker._estimate_message_tokens
cmd = "cd /tmp/core && cat suma/apps/underwriting/followup/service.py"
with_calls = est([_openai_asst(cmd)])[0]
# empty content + no tool_calls counted => only the +20 overhead (~5 tok)
bare = est([{"role": "assistant", "content": None}])[0]
assert with_calls > bare + 5, (with_calls, bare) # the command is now counted
# legacy function_call shape too
fc = est(
[
{
"role": "assistant",
"content": None,
"function_call": {"name": "bash", "arguments": _json.dumps({"command": cmd})},
}
]
)[0]
assert fc > bare + 5, (fc, bare)
def test_frozen_count_leaves_openai_tool_delta_mutable():
# A tool-based turn: cached prefix (system+task+prior tool obs) then a NEW
# assistant tool_call + its observation. After update_from_response reports
# the prefix cached, the frozen count must NOT swallow the newest delta.
trk = PrefixCacheTracker("openai", PrefixFreezeConfig(min_cached_tokens=10))
msgs = [
{"role": "system", "content": "s" * 400},
{"role": "user", "content": "task " * 200},
_openai_asst("cd /tmp/core && rg -n foo ."),
{"role": "tool", "tool_call_id": "c1", "content": "hit\n" * 300}, # cached prefix ends here
_openai_asst("cd /tmp/core && cat foo.py"), # NEW delta (assistant)
{
"role": "tool",
"tool_call_id": "c1",
"content": "code\n" * 400,
}, # NEW delta (observation)
]
counts = PrefixCacheTracker._estimate_message_tokens(msgs)
# cache_read ~= the first 4 messages' real tokens (prefix cached)
cached_prefix_tokens = sum(counts[:4])
trk.update_from_response(
cache_read_tokens=cached_prefix_tokens,
cache_write_tokens=0,
messages=msgs,
message_token_counts=counts,
)
frozen = trk.get_frozen_message_count()
# must freeze ~the cached prefix (<=4), NOT the whole 6 (which would freeze
# the newest observation delta and block all compression).
assert frozen <= 4, f"frozen={frozen} swallowed the delta (len={len(msgs)})"