Files
hermes-agent/tests/agent/test_micro_compaction.py

955 lines
40 KiB
Python

"""Tests for per-turn micro-compaction in ``ContextCompressor``.
Micro-compaction amortizes the cost of context compression: instead of one
long pause when the window fills, each turn folds the single oldest
un-absorbed exchange into a rolling summary.
The invariants that matter:
* one call absorbs exactly one exchange (assistant + its tool results), so
the per-turn cost stays bounded;
* the absorbed span is replaced by a summary marker carrying the usual
``_compressed_summary`` metadata, so resume/handoff treat it like a batch
summary;
* the cursor advances, so successive calls walk forward rather than
re-summarising the same exchange;
* protected head and tail messages are never touched;
* an exchange the summarizer cannot handle is retried a bounded number of
times and then skipped, so a poison exchange can't stall every turn.
"""
from unittest.mock import patch
import pytest
from agent.context_compressor import (
COMPRESSED_SUMMARY_METADATA_KEY,
ContextCompressor,
_MICRO_COMPACT_MAX_CONSECUTIVE_FAILURES,
)
def _compressor(summary="ROLLING SUMMARY") -> ContextCompressor:
cc = ContextCompressor(
model="test-model",
threshold_percent=0.75,
protect_first_n=1,
protect_last_n=2,
quiet_mode=True,
config_context_length=40960,
provider="test",
)
cc._micro_compact_enabled = True
# Stand in for the auxiliary summarizer LLM.
cc._micro_summarize_one = lambda _text: summary
return cc
def _conversation(exchanges: int = 6) -> list:
msgs = [{"role": "system", "content": "system prompt"}]
for i in range(exchanges):
msgs.append({"role": "user", "content": f"question {i}"})
msgs.append({"role": "assistant", "content": f"answer {i} " + "z" * 400})
return msgs
def _summary_markers(messages: list) -> list:
return [m for m in messages if m.get(COMPRESSED_SUMMARY_METADATA_KEY)]
class TestMicroCompaction:
def test_absorbs_one_exchange_and_leaves_a_summary_marker(self):
cc = _compressor()
messages = _conversation()
result = cc._micro_compact(list(messages))
# The absorbed assistant turn is gone from the transcript.
assert any("answer 0" in str(m.get("content")) for m in messages)
assert not any("answer 0" in str(m.get("content")) for m in result)
markers = _summary_markers(result)
assert len(markers) == 1
assert "ROLLING SUMMARY" in markers[0]["content"]
# The marker is assistant-role: an exchange is a full agent turn
# bounded by user messages, so user → marker(assistant) → user keeps
# strict alternation. A user-role marker produced user → user → user,
# and the pre-request repair_message_sequence pass merged the marker
# into the neighbouring real user turn — metadata gone, cursor lost.
assert markers[0]["role"] == "assistant"
def test_disabled_is_a_no_op(self):
cc = _compressor()
cc._micro_compact_enabled = False
messages = _conversation()
assert cc._micro_compact(list(messages)) == messages
def test_is_off_unless_explicitly_enabled(self):
# A pass rewrites already-sent history, breaking the prompt-cache
# prefix, so nobody inherits it from an update: it stays off until
# `compression.micro_compact` opts in.
cc = ContextCompressor(
model="test-model",
threshold_percent=0.75,
protect_first_n=1,
protect_last_n=2,
quiet_mode=True,
config_context_length=40960,
provider="test",
)
cc._micro_summarize_one = lambda _text: "ROLLING SUMMARY"
messages = _conversation()
assert cc._micro_compact_enabled is False
assert cc._micro_compact(list(messages)) == messages
def test_cadence_of_one_runs_every_turn(self):
cc = _compressor()
cc._micro_compact_every_n_turns = 1
messages = _conversation(exchanges=8)
first = cc._micro_compact(list(messages))
second = cc._micro_compact(list(first))
assert cc._micro_compact_cursor > 0
assert len(_summary_markers(first)) == 1
# Each turn absorbed something, so the transcript kept shrinking.
assert len(second) < len(first)
def test_cadence_skips_turns_until_a_pass_is_due(self):
cc = _compressor()
cc._micro_compact_every_n_turns = 3
messages = _conversation(exchanges=8)
first = cc._micro_compact(list(messages))
second = cc._micro_compact(list(first))
# Cache prefix untouched on the turns in between.
assert _summary_markers(first) == []
assert _summary_markers(second) == []
assert cc._micro_compact_cursor == 0
third = cc._micro_compact(list(second))
assert len(_summary_markers(third)) == 1
assert not any("answer 0" in str(m.get("content")) for m in third)
# Counter rearmed for the next window.
assert cc._micro_compact_turns_since_pass == 0
def test_cadence_is_clamped_to_at_least_one(self):
# A bogus 0 or negative must not disable compaction silently, nor
# divide-by-zero: it degrades to "every turn".
for bogus in (0, -5):
cc = _compressor()
cc._micro_compact_every_n_turns = bogus
messages = _conversation(exchanges=8)
result = cc._micro_compact(list(messages))
assert len(_summary_markers(result)) == 1
def test_cursor_advances_across_successive_turns(self):
cc = _compressor()
messages = _conversation(exchanges=8)
first = cc._micro_compact(list(messages))
cursor_after_first = cc._micro_compact_cursor
second = cc._micro_compact(list(first))
assert cursor_after_first > 0
assert cc._micro_compact_cursor >= cursor_after_first
# Still exactly one marker: the second pass merges into the rolling
# summary rather than stacking a second summary block.
assert len(_summary_markers(second)) == 1
def test_protected_head_and_tail_survive(self):
cc = _compressor()
messages = _conversation()
result = cc._micro_compact(list(messages))
assert result[0] == messages[0], "system prompt must be preserved"
assert result[-1] == messages[-1], "most recent turn must be preserved"
def test_user_messages_are_never_absorbed(self):
"""Every byte the user typed stays in the transcript — by design.
Assistant output is largely an account of what was done and survives
summarising; the user's own words are the intent everything else is
derived from and can't be reconstructed from it. So an exchange starts
at the assistant message and the walk skips past user turns.
The invariant is on user TEXT, not message-list shape: superseding an
old marker leaves two real user turns adjacent, and they are merged
(\\n\\n-joined, same as repair_message_sequence pass 2) to keep strict
alternation. Text is never summarized or dropped.
"""
cc = _compressor()
messages = _conversation(exchanges=10)
originals = [m["content"] for m in messages if m["role"] == "user"]
for _ in range(5):
messages = cc._micro_compact(messages)
surviving_text = "\n\n".join(
m["content"] for m in messages
if m.get("role") == "user" and not m.get(COMPRESSED_SUMMARY_METADATA_KEY)
)
for original in originals:
assert original in surviving_text, (
f"user text {original!r} must survive verbatim"
)
def test_cursor_is_derived_from_the_spliced_list(self):
"""The cursor must never carry over a pre-splice index.
A splice collapses an assistant plus its tool results -- often several
messages -- into one marker, so every later index shifts. Reusing
``exchange_end`` left the cursor pointing inside a *later* exchange's
tool group; the next pass walked forward to the following assistant
and skipped that exchange entirely, so on tool-bearing conversations
roughly half the work silently never happened.
Tool-free fixtures cannot catch this: the span is one message, so
nothing shifts.
"""
cc = _compressor()
msgs = [{"role": "system", "content": "sys"}]
for i in range(8):
msgs.append({"role": "user", "content": f"q{i}"})
msgs.append({
"role": "assistant",
"content": f"a{i}",
"tool_calls": [
{"id": f"c{i}-{j}", "type": "function",
"function": {"name": "f", "arguments": "{}"}}
for j in range(3)
],
})
for j in range(3):
msgs.append({"role": "tool", "tool_call_id": f"c{i}-{j}",
"content": "T" * 500})
for _ in range(4):
msgs = cc._micro_compact(msgs)
marker_idx = next(
i for i, m in enumerate(msgs)
if m.get(COMPRESSED_SUMMARY_METADATA_KEY)
)
assert cc._micro_compact_cursor == marker_idx + 1, (
"cursor must sit just past the marker in the spliced list"
)
def test_resume_does_not_destroy_the_accumulated_summary(self):
"""A resumed session must not throw away compacted history.
The rolling summary lives in memory; a resumed process starts with an
empty one while the marker holding every previous exchange is still in
the transcript. Superseding on that first pass would replace the whole
history with a summary of one exchange.
"""
msgs = _conversation(exchanges=10)
first = _compressor(summary="IMPORTANT HISTORY: decisions and paths")
for _ in range(3):
msgs = first._micro_compact(msgs)
assert any("IMPORTANT HISTORY" in m["content"] for m in _summary_markers(msgs))
# Fresh compressor over the same transcript = resume.
resumed = _compressor(summary="MERGED: history plus newest exchange")
assert resumed._micro_compact_rolling_summary == ""
result = resumed._micro_compact(msgs)
markers = _summary_markers(result)
assert len(markers) == 1
assert "MERGED" in markers[0]["content"]
def test_resume_keeps_the_old_marker_when_rehydration_fails(self):
"""If the prior summary can't be recovered, it must not be dropped."""
msgs = _conversation(exchanges=10)
first = _compressor(summary="IMPORTANT HISTORY: decisions and paths")
for _ in range(3):
msgs = first._micro_compact(msgs)
resumed = _compressor(summary="BRAND NEW SUMMARY")
resumed._rolling_summary_from_marker = staticmethod(lambda _c: "")
result = resumed._micro_compact(msgs)
markers = _summary_markers(result)
assert len(markers) == 2, "must retain the un-carried history"
assert any("IMPORTANT HISTORY" in m["content"] for m in markers)
def test_rolling_summary_round_trips_through_a_marker(self):
cc = _compressor()
cc._micro_compact_rolling_summary = "decisions: use the existing helper"
msgs = _conversation(exchanges=6)
result = cc._micro_compact(msgs)
marker = _summary_markers(result)[0]
assert (cc._rolling_summary_from_marker(marker["content"])
== cc._micro_compact_rolling_summary)
def test_short_conversation_is_untouched(self):
cc = _compressor()
messages = [
{"role": "system", "content": "sys"},
{"role": "user", "content": "hi"},
{"role": "assistant", "content": "hello"},
]
assert cc._micro_compact(list(messages)) == messages
def test_summarizer_failure_leaves_conversation_intact(self):
cc = _compressor()
cc._micro_summarize_one = lambda _text: None
messages = _conversation()
result = cc._micro_compact(list(messages))
assert result == messages
assert cc._micro_compact_consecutive_failures == 1
def test_poison_exchange_is_skipped_after_repeated_failures(self):
"""A repeatedly unsummarizable exchange must not stall every turn."""
cc = _compressor()
cc._micro_summarize_one = lambda _text: None
messages = _conversation()
for _ in range(_MICRO_COMPACT_MAX_CONSECUTIVE_FAILURES):
cc._micro_compact(list(messages))
# The cursor has moved past the stuck exchange and the strike count
# is reset, so the next turn attempts new material.
assert cc._micro_compact_cursor > 0
assert cc._micro_compact_consecutive_failures == 0
def test_repeated_compaction_shrinks_context_and_keeps_one_marker(self):
"""The whole point: successive turns must reduce the transcript.
The rolling summary is cumulative, so an earlier marker's text is a
subset of the current one. Keeping the earlier markers stacked
near-duplicate copies (each with its own heading/end-marker
scaffolding) and made the transcript grow every turn — the opposite
of what compaction is for.
"""
from agent.model_metadata import estimate_messages_tokens_rough
cc = _compressor()
# Cumulative summary, like the real summarizer produces.
state = {"n": 0}
def growing(_text):
state["n"] += 1
return "SUMMARY " + " ".join(f"ex{i}" for i in range(state["n"]))
cc._micro_summarize_one = growing
messages = _conversation(exchanges=12)
before = estimate_messages_tokens_rough(messages)
for _ in range(6):
messages = cc._micro_compact(messages)
after = estimate_messages_tokens_rough(messages)
assert len(_summary_markers(messages)) == 1
assert after < before, f"context grew: {before} -> {after}"
def test_emits_content_free_token_telemetry(self, caplog):
"""Each pass logs one JSON line with the token accounting.
Message counts barely move even when the saving is large, so the token
fields are what make the effect measurable in a real session.
"""
import json
import logging
cc = _compressor()
messages = _conversation(exchanges=8)
with caplog.at_level(logging.INFO, logger="agent.context_compressor"):
result = cc._micro_compact(messages)
lines = [
r.getMessage() for r in caplog.records
if "micro compaction telemetry:" in r.getMessage()
]
assert len(lines) == 1
payload = json.loads(lines[0].split("micro compaction telemetry: ", 1)[1])
assert payload["event"] == "micro_compaction"
assert payload["outcome"] == "absorbed"
assert payload["tokens_saved_total"] == -payload["tokens_delta"]
assert payload["passes_total"] == 1
assert payload["messages_after"] == len(result)
assert payload["exchange_tokens"] > 0
# Content-free: no transcript text may ride along in the payload.
blob = json.dumps(payload)
assert "answer 0" not in blob and "question 0" not in blob
def test_emitter_never_forces_window_resolution(self, caplog):
"""The emitter reads the cached threshold, never the property.
In a real pass the threshold is already resolved by the time
telemetry runs (the tail calculation needs it), so occupancy is
normally populated. This pins the safety property directly: with the
cache empty, emitting reports null rather than triggering the lazy
resolution — which can issue a synchronous /models probe (#32221).
"""
import json
import logging
cc = _compressor()
cc._threshold_tokens = None
cc._resolved_context_length = None
def explode(self): # pragma: no cover - must never be called
raise AssertionError("telemetry forced context-length resolution")
with patch.object(type(cc), "threshold_tokens",
property(explode, lambda s, v: None)):
with caplog.at_level(logging.INFO, logger="agent.context_compressor"):
cc._emit_micro_compaction_telemetry(
outcome="absorbed",
messages_before=10,
messages_after=9,
tokens_before=500,
tokens_after=400,
)
line = next(r.getMessage() for r in caplog.records
if "micro compaction telemetry:" in r.getMessage())
payload = json.loads(line.split("micro compaction telemetry: ", 1)[1])
assert payload["occupancy_pct"] is None
assert payload["threshold_tokens"] is None
def test_cumulative_savings_accumulate_across_passes(self):
"""Session-total savings go positive once marker overhead is paid back.
The first pass inserts ``SUMMARY_PREFIX`` scaffolding (~450 tokens);
with the current preamble that alone leaves the cumulative counter
negative after only a few absorptions. Enough later passes must
still recover it — that is the amortization contract.
"""
cc = _compressor()
messages = _conversation(exchanges=10)
for _ in range(6):
messages = cc._micro_compact(messages)
assert cc._micro_compact_passes == 6
assert cc._micro_compact_tokens_saved_total > 0
def test_defrag_triggers_once_the_rolling_summary_grows(self):
"""Defrag rewrites the summary text and the marker — nothing else.
The original implementation spliced the whole remaining middle (user
turns included) into the marker, silently absorbing user messages.
Defrag is now transcript-shape-neutral: same message list, same
cursor, marker content rewritten in place.
"""
cc = _compressor(summary="FRESH DEFRAGGED SUMMARY")
messages = _conversation(exchanges=8)
# Seed a real marker + oversized rolling summary, as after many passes.
messages = cc._micro_compact(list(messages))
cc._micro_compact_rolling_summary = "x" * 40_000 # far over the threshold
cursor_before = cc._micro_compact_cursor
shape_before = [m.get("role") for m in messages]
assert cc._needs_defrag() is True
result = cc._micro_compact(list(messages))
assert cc._micro_compact_rolling_summary == "FRESH DEFRAGGED SUMMARY"
markers = _summary_markers(result)
assert len(markers) == 1
assert "FRESH DEFRAGGED SUMMARY" in markers[0]["content"]
# Shape-neutral: no messages absorbed or spliced, cursor unmoved.
assert [m.get("role") for m in result] == shape_before
assert cc._micro_compact_cursor == cursor_before
def test_defrag_never_absorbs_user_messages(self):
"""Defrag must not touch user turns — the feature's core invariant.
The original implementation serialized head..tail (user turns
included) and spliced it away: 8 of 10 user prompts were destroyed in
one pass. Defrag now only rewrites the rolling summary text.
"""
cc = _compressor(summary="DEFRAGGED")
messages = [{"role": "system", "content": "sys"}]
for i in range(10):
messages.append({"role": "user", "content": f"UNIQUE-USER-PROMPT-{i}"})
messages.append({"role": "assistant", "content": f"answer {i} " + "z" * 400})
cc._micro_compact_rolling_summary = "x" * 40_000 # force defrag
result = cc._micro_compact(list(messages))
surviving = [
m["content"] for m in result
if m.get("role") == "user" and not m.get(COMPRESSED_SUMMARY_METADATA_KEY)
]
for i in range(10):
assert any(f"UNIQUE-USER-PROMPT-{i}" in s for s in surviving), (
f"user prompt {i} was absorbed by defrag"
)
def test_defrag_summarizes_only_the_summary_text(self):
"""The defrag aux call receives the rolling summary, not the transcript."""
cc = _compressor()
captured = {}
def capture(text):
captured["text"] = text
return "DEFRAGGED"
cc._micro_summarize_one = capture
cc._micro_compact_rolling_summary = "OLD-SUMMARY " + "x" * 40_000
messages = _conversation(exchanges=8)
cc._micro_compact(list(messages))
assert "OLD-SUMMARY" in captured["text"]
assert "[USER]" not in captured["text"], (
"defrag must never serialize transcript user turns"
)
def test_spliced_transcript_survives_repair_message_sequence(self):
"""The compacted transcript must survive the production repair pass.
conversation_loop runs repair_message_sequence before EVERY API call.
With the old user-role marker, splicing next to a real user turn made
user → user → user; repair merged the marker into the real user
message — metadata gone, cursor unrecoverable, summary text duplicated
into the transcript on every later pass. Pin the integration: markers
survive repair untouched, and no summary text leaks into real user
messages.
"""
from agent.agent_runtime_helpers import repair_message_sequence
class _DummyAgent:
session_id = "probe"
_last_flushed_db_idx = 0
cc = _compressor()
messages = _conversation(exchanges=8)
for _ in range(3):
messages = cc._micro_compact(messages)
repairs = repair_message_sequence(_DummyAgent(), messages)
assert repairs == 0, (
"micro-compacted transcript must already be alternation-valid"
)
markers = _summary_markers(messages)
assert len(markers) == 1, "marker destroyed by repair pass"
polluted = [
m for m in messages
if m.get("role") == "user"
and not m.get(COMPRESSED_SUMMARY_METADATA_KEY)
and "ROLLING SUMMARY" in str(m.get("content"))
]
assert not polluted, "summary text leaked into a real user message"
def test_spliced_transcript_has_no_consecutive_same_role_messages(self):
"""Alternation invariant, checked directly on tool-bearing turns."""
cc = _compressor()
msgs = [{"role": "system", "content": "sys"}]
for i in range(8):
msgs.append({"role": "user", "content": f"q{i}"})
msgs.append({
"role": "assistant",
"content": f"a{i}",
"tool_calls": [
{"id": f"c{i}-{j}", "type": "function",
"function": {"name": "f", "arguments": "{}"}}
for j in range(2)
],
})
for j in range(2):
msgs.append({"role": "tool", "tool_call_id": f"c{i}-{j}",
"content": "T" * 400})
# Multi-iteration turn: a second assistant+tools group before the
# next user message — the splice must absorb the WHOLE turn.
msgs.append({"role": "assistant", "content": f"followup {i} " + "y" * 200})
for _ in range(4):
msgs = cc._micro_compact(msgs)
for a, b in zip(msgs, msgs[1:]):
ra, rb = a.get("role"), b.get("role")
assert not (ra == rb and ra in ("user", "assistant")), (
f"consecutive {ra} messages after micro-compaction"
)
def test_marker_reports_no_user_provenance(self):
"""Micro markers absorb only assistant/tool content (#64650)."""
from agent.context_compressor import COMPRESSED_SUMMARY_HAS_USER_TURN_KEY
cc = _compressor()
result = cc._micro_compact(_conversation(exchanges=6))
marker = _summary_markers(result)[0]
assert marker[COMPRESSED_SUMMARY_HAS_USER_TURN_KEY] is False
def test_supersede_never_drops_a_batch_compaction_marker(self):
"""A batch marker holds history the rolling summary does NOT contain.
Sequence: micro absorbs some exchanges (rolling summary = those k
exchanges only), then batch compaction fires and its marker
summarizes MORE (exchanges 1..m). The next micro pass's supersede
must not treat the batch marker as redundant — dropping it destroys
everything batch summarized beyond exchange k. Only micro-tagged
markers (whose text is provably inside the rolling summary) may be
superseded.
"""
cc = _compressor(summary="MICRO SUMMARY (exchanges 1..k only)")
msgs = _conversation(exchanges=8)
msgs = cc._micro_compact(msgs)
assert cc._micro_compact_rolling_summary
# Simulate a batch-compaction marker replacing the middle (batch
# markers carry the shared metadata key but NOT the micro tag).
batch_marker = {
"role": "user",
"content": "[batch summary] CRITICAL HISTORY: exchanges 1..m",
COMPRESSED_SUMMARY_METADATA_KEY: True,
}
micro_idx = next(
i for i, m in enumerate(msgs)
if m.get(COMPRESSED_SUMMARY_METADATA_KEY)
)
msgs = msgs[:micro_idx] + [batch_marker] + msgs[micro_idx + 3:]
out = cc._micro_compact(msgs)
assert any(
"CRITICAL HISTORY" in str(m.get("content")) for m in out
), "batch-compaction summary destroyed by micro supersede"
def test_defrag_never_rewrites_a_batch_compaction_marker(self):
"""Defrag rewrites only micro-tagged markers, never batch markers."""
cc = _compressor(summary="DEFRAGGED")
msgs = [{"role": "system", "content": "sys"}]
msgs.append({
"role": "user",
"content": "[batch summary] CRITICAL HISTORY: exchanges 1..m",
COMPRESSED_SUMMARY_METADATA_KEY: True,
})
for i in range(6):
msgs.append({"role": "user", "content": f"q{i}"})
msgs.append({"role": "assistant", "content": f"a{i} " + "z" * 400})
cc._micro_compact_rolling_summary = "x" * 40_000 # force defrag
result = cc._micro_compact(list(msgs))
batch = [m for m in result if "CRITICAL HISTORY" in str(m.get("content"))]
assert batch, "batch marker content overwritten by defrag"
def test_batch_compress_resets_micro_state(self):
"""compress() success path invalidates the stale rolling summary.
Without the reset, the in-memory micro summary (exchanges 1..k)
outlives a batch compaction whose marker covers 1..m — the next
micro pass would then treat its stale summary as cumulative.
"""
cc = _compressor()
msgs = _conversation(exchanges=8)
msgs = cc._micro_compact(msgs)
assert cc._micro_compact_rolling_summary
assert cc._micro_compact_cursor > 0
cc.compress(msgs, force=True)
assert cc._micro_compact_rolling_summary == ""
assert cc._micro_compact_cursor == 0
def test_db_sync_passes_exact_carried_messages(self):
"""Micro-compaction carries a prefix and suffix around its summary marker.
The persistence layer must receive exact durable ids, not len(result)-1:
a tail count reaches backward across the removed assistant/tool exchange and
turns summarized rows into rewind-only active=0, compacted=0 debris
(#118481).
"""
from agent.context_compressor import _DB_PERSISTED_MARKER
cc = _compressor()
captured = {}
class _DB:
def archive_and_compact(self, session_id, messages, **kwargs):
captured["session_id"] = session_id
captured["messages"] = messages
captured["kwargs"] = kwargs
return len(messages)
cc._session_db = _DB()
cc._session_id = "sess"
compacted = [
{"role": "user", "content": "prefix", "_row_id": 11, _DB_PERSISTED_MARKER: True},
{
"role": "assistant",
"content": "summary",
COMPRESSED_SUMMARY_METADATA_KEY: True,
},
{"role": "user", "content": "suffix", "_row_id": 15, _DB_PERSISTED_MARKER: True},
# Content was rewritten in-place: the mutation contract deliberately
# popped _DB_PERSISTED_MARKER, so its old row is NOT byte-identical.
{"role": "assistant", "content": "rewritten", "_row_id": 16},
]
cc._sync_micro_compact_to_db(compacted)
assert captured["session_id"] == "sess"
carried = captured["kwargs"].get("carried_messages")
assert [message.get("_row_id") for message in carried] == [11, 15]
assert "tail_count" not in captured["kwargs"]
def test_splice_preserves_db_persisted_stamps(self):
"""Surviving messages keep their _db_persisted stamps through a splice.
Micro-compaction archives in place under the SAME session id, so the
stamps on untouched messages stay accurate. Stripping them (as the
batch path does for its child-session rotation) meant an
archive_and_compact failure left every previously-persisted message
unstamped and the next append-only flush re-inserted them all as
duplicate active rows.
"""
from agent.context_compressor import _DB_PERSISTED_MARKER
cc = _compressor()
messages = _conversation(exchanges=8)
for m in messages:
m[_DB_PERSISTED_MARKER] = True
# No DB bound -> _sync_micro_compact_to_db no-ops (the failure shape).
result = cc._micro_compact(messages)
unstamped = [
m for m in result
if not m.get(_DB_PERSISTED_MARKER)
and not m.get(COMPRESSED_SUMMARY_METADATA_KEY)
]
assert not unstamped, (
"splice must not strip _db_persisted from surviving messages"
)
class TestDefragFlushCursorInvalidation:
"""Sibling of the finalize_turn pop site (#75170): defrag pops
_DB_PERSISTED_MARKER from the live marker dict in place, so the bounded
flush-scan cursor must be invalidated or the rewritten summary is
identity-skipped and never re-persisted."""
def _defrag_setup(self):
from agent.context_compressor import _DB_PERSISTED_MARKER
cc = _compressor(summary="FRESH DEFRAGGED SUMMARY")
messages = _conversation(exchanges=8)
messages = cc._micro_compact(list(messages))
# Simulate an incremental flush having stamped the marker row.
for m in messages:
if m.get(COMPRESSED_SUMMARY_METADATA_KEY):
m[_DB_PERSISTED_MARKER] = True
cc._micro_compact_rolling_summary = "x" * 40_000 # force defrag
return cc, messages
def test_defrag_marker_pop_raises_invalidation_flag(self):
from agent.context_compressor import _DB_PERSISTED_MARKER
cc, messages = self._defrag_setup()
assert cc._flush_scan_cursor_invalidated is False
result = cc._micro_compact(list(messages))
markers = _summary_markers(result)
assert len(markers) == 1
# The pop happened in place on the live dict...
assert not markers[0].get(_DB_PERSISTED_MARKER)
# ...so the compressor must flag the flush-scan cursor stale.
assert cc._flush_scan_cursor_invalidated is True
def test_no_defrag_no_flag(self):
cc = _compressor()
messages = _conversation(exchanges=8)
cc._micro_compact(list(messages))
assert cc._flush_scan_cursor_invalidated is False
class TestMergeAdjacentUserTurnsPersistedMarker:
"""Third pop site under the _DB_PERSISTED_MARKER contract: a supersede that
drops a stale micro marker can leave two persisted plain user dicts adjacent;
the merge rewrites the earlier one's content in place, so the stamp must be
popped and the flush-scan cursor invalidated or the merged text is
identity-skipped and never reaches state.db."""
def _spliced_merge(self):
from agent.context_compressor import (
_DB_PERSISTED_MARKER,
COMPRESSED_SUMMARY_METADATA_KEY,
MICRO_COMPACT_MARKER_KEY,
)
cc = _compressor()
cc._micro_compact_rolling_summary = "ROLLING"
u1 = {"role": "user", "content": "first", _DB_PERSISTED_MARKER: True}
stale_micro = {
"role": "assistant",
"content": "SUMMARY",
COMPRESSED_SUMMARY_METADATA_KEY: True,
MICRO_COMPACT_MARKER_KEY: True,
_DB_PERSISTED_MARKER: True,
}
u2 = {"role": "user", "content": "second", _DB_PERSISTED_MARKER: True}
exchange = [
{"role": "assistant", "content": "answer", _DB_PERSISTED_MARKER: True},
{"role": "user", "content": "third", _DB_PERSISTED_MARKER: True},
]
messages = [u1, stale_micro, u2, *exchange]
# Dropping stale_micro leaves u1/u2 adjacent; the exchange is spliced out.
return cc, cc._splice_micro_compact_result(messages, 3, 5, supersede=True)
def test_merge_pops_persisted_marker_and_raises_flag(self):
from agent.context_compressor import _DB_PERSISTED_MARKER
cc, result = self._spliced_merge()
merged = [m for m in result if m.get("role") == "user"]
assert len(merged) == 1
assert merged[0]["content"] == "first\n\nsecond"
assert _DB_PERSISTED_MARKER not in merged[0]
assert cc._flush_scan_cursor_invalidated is True
def test_superseding_marker_never_shows_a_user_input_twice_in_display_history(tmp_path):
"""A supersede merges the adjacent user turns for the model; the originals stay in display
history as compacted rows, so no display projection (resume, REST page, legacy page, prompt
timeline) may also paint the merged row. The model view still holds each input exactly once."""
from agent.context_compressor import _DB_PERSISTED_MARKER
from hermes_state import SessionDB
from hermes_state_timeline import get_session_timeline
db = SessionDB(db_path=tmp_path / "state.db")
db.create_session("s", source="cli")
messages = _conversation(exchanges=8)
for i, msg in enumerate(messages):
msg["timestamp"] = 1000.0 + i
msg["_row_id"] = db.append_message("s", role=msg["role"], content=msg["content"], timestamp=msg["timestamp"])
msg[_DB_PERSISTED_MARKER] = True
cc = _compressor()
cc._session_db, cc._session_id = db, "s"
for _ in range(4):
messages = cc._micro_compact(messages)
assert len(_summary_markers(messages)) == 1
assert any("question 0\n\nquestion 1" in str(m.get("content")) for m in messages), "no supersede merge happened"
def shown(msgs):
return sorted(t for m in msgs if m.get("role") == "user" for t in str(m["content"]).split("\n\n"))
typed = sorted(m["content"] for m in _conversation(exchanges=8) if m["role"] == "user")
model, display = db.get_resume_conversations("s")
assert shown(display) == typed
assert shown(model) == typed
assert shown(db.get_messages("s", include_compacted=True)) == typed
timeline = [e["preview"] for e in get_session_timeline(db, "s")["entries"]]
assert sorted(timeline) == typed
# Legacy stores (no display index, read-only so no backfill) take the payload-bounded page.
db._execute_write(lambda conn: conn.execute("UPDATE messages SET display_order = NULL"))
legacy = SessionDB(db_path=tmp_path / "state.db", read_only=True)
try:
assert shown(legacy.get_messages("s", include_compacted=True)) == typed
assert sorted(e["preview"] for e in get_session_timeline(legacy, "s")["entries"]) == typed
finally:
legacy.close()
db.close()
def _held_session(tmp_path, mode: str):
"""A real SessionDB session plus the compressor and the history it holds (as a resume restores it:
row ids and persisted markers included) for a prune or a micro-compaction pass."""
from hermes_state import SessionDB
db = SessionDB(db_path=tmp_path / "state.db")
db.create_session("s", source="cli")
cc = _compressor()
cc._session_db, cc._session_id = db, "s"
if mode == "prune":
cc.proactive_prune_tokens, cc.proactive_prune_min_result_chars = 48_000, 8_000
cc.proactive_prune_min_reclaim_tokens, cc.protect_first_n, cc.protect_last_n = 4_096, 2, 4
history = [{"role": "user", "content": "start"}]
for i in range(8):
history.append({"role": "assistant", "content": "", "tool_calls": [{
"id": f"call_{i}", "type": "function", "function": {"name": "terminal", "arguments": "{}"}}]})
history.append({"role": "tool", "tool_call_id": f"call_{i}", "content": chr(65 + i) * 24_000 if i < 3 else "ok"})
else:
history = _conversation(exchanges=8)
db.append_messages_batch("s", history)
return db, cc, db.get_resume_conversations("s")[0]
def _run_pass(cc, mode: str, held: list) -> list:
if mode == "prune":
return cc.prune_tool_results_only(held, current_tokens=120_000)[0]
return cc._micro_compact(held)
@pytest.mark.parametrize("mode", ["prune", "micro"])
def test_a_turn_another_surface_appended_after_load_is_kept_exactly_once(tmp_path, mode):
"""Prune and micro-compaction rewrite the history this process holds. A turn another surface appended to
the same session since then (a Desktop session continued from Telegram) was archived with the rest, as
summarized away though no summary holds it: still displayed and searchable, gone from the model's view."""
db, cc, held = _held_session(tmp_path, mode)
foreign = "[from Telegram] the vault code is 7741"
db.append_message("s", "user", foreign)
result = _run_pass(cc, mode, held)
assert result is not held # a pass ran and committed
live = [str(m["content"]) for m in db.get_messages_as_conversation("s")]
assert live[-1] == foreign
assert sum(foreign in content for content in live) == 1
@pytest.mark.parametrize("mode,race", [
("prune", "before"), ("micro", "before"), ("micro", "during_summary"),
("prune", "watermark_read_fails"), ("micro", "watermark_read_fails"),
])
def test_a_stale_generation_aborts_leaving_the_winner_the_only_live_version(tmp_path, mode, race):
"""Prune and micro-compaction hold no compression lease. Once another compaction has committed (before the
pass, or while micro-compaction waits on its summary call), the held history is a stale generation:
publishing it archives the winner's rows and clones them back beside a second summary, and returning the
spliced list lets the finalizer's persist flush append the stale summary row as live. The pass must be a
true no-op: the input list, the pre-pass rolling summary, and a store holding only the winner. A failed
watermark read must take the same no-op path, never a None watermark (which archives every active row)."""
from agent.context_compressor import _DB_PERSISTED_MARKER
db, cc, held = _held_session(tmp_path, mode)
winner = [
{"role": "user", "content": "start"},
{"role": "assistant", "content": "[winner summary] the earlier turns"},
{"role": "user", "content": "[from Telegram] carry on"},
]
if race == "watermark_read_fails":
winner = [{"role": m["role"], "content": m["content"]} for m in held] # nothing may be archived
def _watermark_read_fails(_session_id):
raise RuntimeError("database is locked")
db.get_active_message_watermark = _watermark_read_fails
elif race == "before":
db.archive_and_compact("s", winner)
else:
def _summary_while_another_surface_compacts(_text):
db.archive_and_compact("s", winner)
return "STALE ROLLING SUMMARY"
cc._micro_summarize_one = _summary_while_another_surface_compacts
summary = cc._micro_compact_rolling_summary
result = _run_pass(cc, mode, held)
for msg in result: # what finalize_turn's _persist_session flush appends: every unpersisted dict
if not msg.get(_DB_PERSISTED_MARKER):
db.append_message("s", msg["role"], msg.get("content"))
assert result is held
assert cc._micro_compact_rolling_summary == summary # the stale summary is not carried into the next pass
live = [m["content"] for m in db.get_messages_as_conversation("s")]
assert live == [m["content"] for m in winner] # exactly one live generation