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test: add coverage for token-budget tail protection
Tests for the new behavior paths: - Large tool outputs no longer block compaction (motivating scenario) - Hard minimum of 3 tail messages always protected - 1.5x soft ceiling for oversized messages - Small conversations still compress (min 8 messages) - Token-budget prune path in _prune_old_tool_results - Fallback to message-count when no token budget
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@@ -612,3 +612,158 @@ class TestSummaryTargetRatio:
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with patch("agent.context_compressor.get_model_context_length", return_value=100_000):
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c = ContextCompressor(model="test", quiet_mode=True)
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assert c.protect_last_n == 20
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class TestTokenBudgetTailProtection:
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"""Tests for token-budget-based tail protection (PR #6240).
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The core change: tail protection is now based on a token budget rather
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than a fixed message count. This prevents large tool outputs from
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blocking compaction.
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"""
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@pytest.fixture()
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def budget_compressor(self):
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"""Compressor with known token budget for tail protection tests."""
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with patch("agent.context_compressor.get_model_context_length", return_value=200_000):
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c = ContextCompressor(
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model="test/model",
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threshold_percent=0.50, # 100K threshold
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protect_first_n=2,
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protect_last_n=20,
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quiet_mode=True,
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)
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return c
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def test_large_tool_outputs_no_longer_block_compaction(self, budget_compressor):
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"""The motivating scenario: 20 messages with large tool outputs should
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NOT prevent compaction. With message-count tail protection they would
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all be protected, leaving nothing to summarize."""
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c = budget_compressor
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messages = [
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{"role": "user", "content": "Start task"},
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{"role": "assistant", "content": "On it"},
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]
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# Add 20 messages with large tool outputs (~5K chars each ≈ 1250 tokens)
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for i in range(10):
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messages.append({
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"role": "assistant", "content": None,
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"tool_calls": [{"function": {"name": f"tool_{i}", "arguments": "{}"}}],
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})
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messages.append({
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"role": "tool", "content": "x" * 5000,
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"tool_call_id": f"call_{i}",
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})
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# Add 3 recent small messages
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messages.append({"role": "user", "content": "What's the status?"})
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messages.append({"role": "assistant", "content": "Here's what I found..."})
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messages.append({"role": "user", "content": "Continue"})
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# The tail cut should NOT protect all 20 tool messages
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head_end = c.protect_first_n
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cut = c._find_tail_cut_by_tokens(messages, head_end)
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tail_size = len(messages) - cut
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# With token budget, the tail should be much smaller than 20+
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assert tail_size < 20, f"Tail {tail_size} messages — large tool outputs are blocking compaction"
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# But at least 3 (hard minimum)
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assert tail_size >= 3
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def test_min_tail_always_3_messages(self, budget_compressor):
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"""Even with a tiny token budget, at least 3 messages are protected."""
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c = budget_compressor
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# Override to a tiny budget
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c.tail_token_budget = 10
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messages = [
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{"role": "user", "content": "hello"},
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{"role": "assistant", "content": "hi"},
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{"role": "user", "content": "do something"},
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{"role": "assistant", "content": "working on it"},
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{"role": "user", "content": "more work"},
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{"role": "assistant", "content": "done"},
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{"role": "user", "content": "thanks"},
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]
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head_end = 2
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cut = c._find_tail_cut_by_tokens(messages, head_end)
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tail_size = len(messages) - cut
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assert tail_size >= 3, f"Tail is only {tail_size} messages, min should be 3"
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def test_soft_ceiling_allows_oversized_message(self, budget_compressor):
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"""The 1.5x soft ceiling allows an oversized message to be included
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rather than splitting it."""
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c = budget_compressor
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# Set a small budget — 500 tokens
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c.tail_token_budget = 500
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messages = [
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{"role": "user", "content": "hello"},
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{"role": "assistant", "content": "hi"},
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{"role": "user", "content": "read the file"},
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# This message is ~600 tokens (> budget of 500, but < 1.5x = 750)
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{"role": "assistant", "content": "a" * 2400},
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{"role": "user", "content": "short"},
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{"role": "assistant", "content": "short reply"},
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{"role": "user", "content": "continue"},
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]
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head_end = 2
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cut = c._find_tail_cut_by_tokens(messages, head_end)
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# The oversized message at index 3 should NOT be the cut point
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# because 1.5x ceiling = 750 tokens and accumulated would be ~610
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# (short msgs + oversized msg) which is < 750
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tail_size = len(messages) - cut
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assert tail_size >= 3
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def test_small_conversation_still_compresses(self, budget_compressor):
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"""With the new min of 8 messages (head=2 + 3 + 1 guard + 2 middle),
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a small but compressible conversation should still compress."""
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c = budget_compressor
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# 9 messages: head(2) + 4 middle + 3 tail = compressible
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messages = []
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for i in range(9):
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role = "user" if i % 2 == 0 else "assistant"
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messages.append({"role": role, "content": f"Message {i}"})
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# Should not early-return (needs > protect_first_n + 3 + 1 = 6)
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# Mock the summary generation to avoid real API call
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with patch.object(c, "_generate_summary", return_value="Summary of conversation"):
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result = c.compress(messages, current_tokens=90_000)
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# Should have compressed (fewer messages than original)
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assert len(result) < len(messages)
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def test_prune_with_token_budget(self, budget_compressor):
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"""_prune_old_tool_results with protect_tail_tokens respects the budget."""
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c = budget_compressor
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messages = [
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{"role": "user", "content": "start"},
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{"role": "assistant", "content": None,
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"tool_calls": [{"function": {"name": "read_file", "arguments": '{"path": "big.txt"}'}}]},
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{"role": "tool", "content": "x" * 10000, "tool_call_id": "c1"}, # ~2500 tokens
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{"role": "assistant", "content": None,
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"tool_calls": [{"function": {"name": "read_file", "arguments": '{"path": "small.txt"}'}}]},
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{"role": "tool", "content": "y" * 10000, "tool_call_id": "c2"}, # ~2500 tokens
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{"role": "user", "content": "short recent message"},
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{"role": "assistant", "content": "short reply"},
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]
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# With a 1000-token budget, only the last couple messages should be protected
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result, pruned = c._prune_old_tool_results(
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messages, protect_tail_count=2, protect_tail_tokens=1000,
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)
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# At least one old tool result should have been pruned
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assert pruned >= 1
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def test_prune_without_token_budget_uses_message_count(self, budget_compressor):
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"""Without protect_tail_tokens, falls back to message-count behavior."""
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c = budget_compressor
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messages = [
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{"role": "user", "content": "start"},
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{"role": "assistant", "content": None,
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"tool_calls": [{"function": {"name": "tool", "arguments": "{}"}}]},
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{"role": "tool", "content": "x" * 5000, "tool_call_id": "c1"},
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{"role": "user", "content": "recent"},
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{"role": "assistant", "content": "reply"},
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]
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# protect_tail_count=3 means last 3 messages protected
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result, pruned = c._prune_old_tool_results(
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messages, protect_tail_count=3,
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)
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# Tool at index 2 is outside the protected tail (last 3 = indices 2,3,4)
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# so it might or might not be pruned depending on boundary
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assert isinstance(pruned, int)
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