mirror of
https://github.com/headroomlabs-ai/headroom.git
synced 2026-08-27 14:17:10 -04:00
209 lines
6.2 KiB
Python
209 lines
6.2 KiB
Python
from __future__ import annotations
|
|
|
|
from headroom.transforms.compression_units import (
|
|
CompressionUnit,
|
|
RoutedCompressionUnit,
|
|
compress_unit_with_router,
|
|
compress_units_with_router,
|
|
)
|
|
from headroom.transforms.content_router import (
|
|
CompressionStrategy,
|
|
RouterCompressionResult,
|
|
)
|
|
|
|
|
|
class TokenCounter:
|
|
def count_text(self, text: str) -> int:
|
|
return len(text.split())
|
|
|
|
|
|
class Router:
|
|
def __init__(self, compressed: str):
|
|
self.compressed = compressed
|
|
|
|
def compress(self, content: str, **_kwargs):
|
|
return RouterCompressionResult(
|
|
compressed=self.compressed,
|
|
original=content,
|
|
strategy_used=CompressionStrategy.KOMPRESS,
|
|
)
|
|
|
|
|
|
def test_compression_unit_accepts_token_shrinking_replacement():
|
|
result = compress_unit_with_router(
|
|
CompressionUnit(
|
|
text="alpha beta gamma delta epsilon",
|
|
provider="openai",
|
|
endpoint="responses",
|
|
role="tool",
|
|
item_type="local_shell_call_output",
|
|
min_bytes=1,
|
|
),
|
|
router=Router("alpha beta"),
|
|
tokenizer=TokenCounter(),
|
|
)
|
|
|
|
assert result.modified is True
|
|
assert result.tokens_saved == 3
|
|
assert result.compressed == "alpha beta"
|
|
assert "router:openai:responses:local_shell_call_output:kompress" in result.transforms_applied
|
|
|
|
|
|
def test_compression_unit_rejects_non_shrinking_replacement():
|
|
result = compress_unit_with_router(
|
|
CompressionUnit(
|
|
text="alpha beta",
|
|
provider="anthropic",
|
|
endpoint="messages",
|
|
role="tool",
|
|
item_type="tool_result",
|
|
min_bytes=1,
|
|
),
|
|
router=Router("alpha beta gamma"),
|
|
tokenizer=TokenCounter(),
|
|
)
|
|
|
|
assert result.modified is False
|
|
assert result.reason == "rejected_not_smaller"
|
|
assert result.original == "alpha beta"
|
|
|
|
|
|
def test_compression_unit_respects_cache_zone_and_floor():
|
|
frozen = compress_unit_with_router(
|
|
CompressionUnit(
|
|
text="alpha beta gamma delta",
|
|
provider="anthropic",
|
|
endpoint="messages",
|
|
role="tool",
|
|
item_type="tool_result",
|
|
cache_zone="frozen",
|
|
min_bytes=1,
|
|
),
|
|
router=Router("alpha"),
|
|
tokenizer=TokenCounter(),
|
|
)
|
|
small = compress_unit_with_router(
|
|
CompressionUnit(
|
|
text="small text",
|
|
provider="openai",
|
|
endpoint="responses",
|
|
role="tool",
|
|
item_type="function_call_output",
|
|
min_bytes=500,
|
|
),
|
|
router=Router("small"),
|
|
tokenizer=TokenCounter(),
|
|
)
|
|
|
|
assert frozen.modified is False
|
|
assert frozen.reason == "cache_zone_frozen"
|
|
assert small.modified is False
|
|
assert small.reason == "below_unit_floor"
|
|
|
|
|
|
def test_batch_compression_preserves_provider_slot_references():
|
|
routed = [
|
|
RoutedCompressionUnit(
|
|
unit=CompressionUnit(
|
|
text="alpha beta gamma",
|
|
provider="openai",
|
|
endpoint="responses",
|
|
role="tool",
|
|
item_type="function_call_output",
|
|
min_bytes=1,
|
|
),
|
|
slot=("input", 3, "output"),
|
|
),
|
|
RoutedCompressionUnit(
|
|
unit=CompressionUnit(
|
|
text="one two three",
|
|
provider="gemini",
|
|
endpoint="generateContent",
|
|
role="user",
|
|
item_type="part.text",
|
|
min_bytes=1,
|
|
),
|
|
slot={"path": ["contents", 0, "parts", 0, "text"]},
|
|
),
|
|
]
|
|
|
|
results = compress_units_with_router(
|
|
routed,
|
|
router=Router("short"),
|
|
tokenizer=TokenCounter(),
|
|
)
|
|
|
|
assert results[0][0] == ("input", 3, "output")
|
|
assert results[1][0] == {"path": ["contents", 0, "parts", 0, "text"]}
|
|
assert [result.modified for _slot, result in results] == [True, False]
|
|
|
|
|
|
def test_compress_unit_protects_prompt_roles() -> None:
|
|
for role, reason in [
|
|
("user", "protected_user_message"),
|
|
("developer", "protected_system_message"),
|
|
("system", "protected_system_message"),
|
|
("assistant", "protected_assistant_message"),
|
|
]:
|
|
unit = CompressionUnit(
|
|
text="alpha beta gamma delta",
|
|
provider="openai",
|
|
endpoint="responses",
|
|
role=role,
|
|
item_type="message",
|
|
min_bytes=1,
|
|
)
|
|
|
|
result = compress_unit_with_router(unit, router=Router("alpha"), tokenizer=TokenCounter())
|
|
|
|
assert result.modified is False
|
|
assert result.reason == reason
|
|
|
|
|
|
def test_live_unit_with_retrieval_marker_compresses_surrounding_text() -> None:
|
|
marker = "[100 items compressed to 10. Retrieve more: hash=abc123]"
|
|
text = f"alpha beta gamma delta epsilon\n{marker}\nzeta eta theta iota kappa"
|
|
|
|
result = compress_unit_with_router(
|
|
CompressionUnit(
|
|
text=text,
|
|
provider="openai",
|
|
endpoint="responses",
|
|
role="tool",
|
|
item_type="function_call_output",
|
|
min_bytes=1,
|
|
),
|
|
router=Router("short"),
|
|
tokenizer=TokenCounter(),
|
|
)
|
|
|
|
assert result.modified is True
|
|
assert result.reason is None
|
|
assert result.strategy == "ccr_marker_preserving"
|
|
assert result.compressed == f"short\n{marker}\nshort"
|
|
assert marker in result.compressed
|
|
assert result.tokens_saved > 0
|
|
assert "ccr_marker_preserving" in result.transforms_applied
|
|
|
|
|
|
def test_non_live_unit_with_retrieval_marker_preserves_prefix_cache() -> None:
|
|
marker = "[100 items compressed to 10. Retrieve more: hash=abc123]"
|
|
text = f"alpha beta gamma delta epsilon\n{marker}\nzeta eta theta"
|
|
|
|
result = compress_unit_with_router(
|
|
CompressionUnit(
|
|
text=text,
|
|
provider="openai",
|
|
endpoint="responses",
|
|
role="tool",
|
|
item_type="function_call_output",
|
|
cache_zone="prefix",
|
|
min_bytes=1,
|
|
),
|
|
router=Router("short"),
|
|
tokenizer=TokenCounter(),
|
|
)
|
|
|
|
assert result.modified is False
|
|
assert result.reason == "cache_zone_prefix"
|
|
assert result.compressed == text
|