Initial import of NousResearch/hermes-agent
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"""Verify compression trigger excludes reasoning/completion tokens (#12026).
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Thinking models (GLM-5.1, QwQ, DeepSeek R1) inflate completion_tokens with
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reasoning tokens that don't consume context window space. The compression
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trigger must use only prompt_tokens so sessions aren't prematurely split.
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"""
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import types
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def _make_agent_stub(prompt_tokens, completion_tokens, threshold_tokens):
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"""Create a minimal stub that exercises the compression check path."""
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compressor = types.SimpleNamespace(
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last_prompt_tokens=prompt_tokens,
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last_completion_tokens=completion_tokens,
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threshold_tokens=threshold_tokens,
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)
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# Replicate the fixed logic from run_agent.py ~line 11273
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if compressor.last_prompt_tokens > 0:
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real_tokens = compressor.last_prompt_tokens # Fixed: no completion
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else:
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real_tokens = 0
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return real_tokens, compressor
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class TestCompressionTriggerExcludesReasoning:
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def test_high_reasoning_tokens_should_not_trigger_compression(self):
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"""With the old bug, 40k prompt + 80k reasoning = 120k > 100k threshold.
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After the fix, only 40k prompt is compared — no compression."""
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real_tokens, comp = _make_agent_stub(
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prompt_tokens=40_000,
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completion_tokens=80_000, # reasoning-heavy model
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threshold_tokens=100_000,
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)
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assert real_tokens == 40_000
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assert real_tokens < comp.threshold_tokens, (
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"Should NOT trigger compression — only prompt tokens matter"
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)
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def test_high_prompt_tokens_should_trigger_compression(self):
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"""When prompt tokens genuinely exceed the threshold, compress."""
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real_tokens, comp = _make_agent_stub(
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prompt_tokens=110_000,
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completion_tokens=5_000,
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threshold_tokens=100_000,
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)
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assert real_tokens == 110_000
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assert real_tokens >= comp.threshold_tokens, (
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"Should trigger compression — prompt tokens exceed threshold"
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)
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def test_zero_prompt_tokens_falls_back(self):
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"""When provider returns 0 prompt tokens, real_tokens is 0 (fallback path)."""
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real_tokens, _ = _make_agent_stub(
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prompt_tokens=0,
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completion_tokens=50_000,
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threshold_tokens=100_000,
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)
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assert real_tokens == 0
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