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nubs
48 lines
1.9 KiB
Python
48 lines
1.9 KiB
Python
"""Issue #2748 — estimate_tokens must count assistant tool_calls (name + arguments).
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A tool-only assistant turn is stored with content=None and the real payload (e.g.
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a large create_document body) in tool_calls[].function.arguments. Before this fix
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estimate_tokens ignored tool_calls, so such a turn counted as ~4 tokens and the
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compaction/trim gates that rely on estimate_tokens silently missed real context
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overflow, letting the upstream call 400 with 'context length exceeded'.
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"""
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from src.model_context import estimate_tokens
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def test_tool_call_arguments_are_counted():
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big = "x" * 40000 # ~ a large create_document body
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msg = {
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"role": "assistant",
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"content": None,
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"tool_calls": [
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{"id": "c1", "type": "function",
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"function": {"name": "create_document", "arguments": big}},
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],
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}
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est = estimate_tokens([msg])
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# ~40k chars * 0.3 ≈ 12000, vs the old ~4 that ignored tool_calls entirely.
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assert est > 10000, est
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def test_content_only_message_is_unchanged():
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# No tool_calls -> identical to the previous behaviour (content*0.3 + overhead).
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msg = {"role": "user", "content": "x" * 100}
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assert estimate_tokens([msg]) == 4 + int(100 * 0.3)
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def test_dict_arguments_are_handled():
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# Some shapes store arguments as a dict rather than a JSON string.
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msg = {
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"role": "assistant",
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"content": None,
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"tool_calls": [{"function": {"name": "f", "arguments": {"path": "x" * 1000}}}],
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}
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assert estimate_tokens([msg]) > 200
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def test_empty_and_malformed_tool_calls_are_safe():
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# tool_calls=None and non-dict entries must not raise and must not inflate.
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assert estimate_tokens([{"role": "assistant", "content": "hi", "tool_calls": None}]) == 4 + int(2 * 0.3)
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assert estimate_tokens([{"role": "assistant", "content": None, "tool_calls": ["bad", 5]}]) == 4
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