mirror of
https://github.com/open-jarvis/OpenJarvis.git
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Elliot SluskyandGitHub
420908401c
Closes #608. Make Message.content officially Optional (str | None) with a Message.text accessor that treats None as empty, and count tool-call IDs/names/arguments, tool-result IDs, and reasoning/thinking metadata in estimate_prompt_tokens — all are replayed into later prompt turns, so they belong in the estimate. Extends estimator and message-type regression tests.
61 lines
1.7 KiB
Python
61 lines
1.7 KiB
Python
from __future__ import annotations
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from openjarvis.core.types import Message, Role, ToolCall
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from openjarvis.engine._base import estimate_prompt_tokens
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def test_estimate_prompt_tokens_handles_none_content_tool_call_turn() -> None:
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messages = [
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Message(role=Role.USER, content="hi"),
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Message(
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role=Role.ASSISTANT,
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content=None,
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tool_calls=[ToolCall(id="call_1", name="lookup", arguments="{}")],
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),
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]
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assert estimate_prompt_tokens(messages) == 12
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def test_estimate_prompt_tokens_counts_tool_call_arguments() -> None:
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base = [
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Message(role=Role.USER, content="hi"),
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Message(role=Role.ASSISTANT, content=None),
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]
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with_tool_call = [
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Message(role=Role.USER, content="hi"),
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Message(
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role=Role.ASSISTANT,
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content=None,
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tool_calls=[ToolCall(id="", name="", arguments="abcdefgh")],
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),
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]
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assert estimate_prompt_tokens(with_tool_call) - estimate_prompt_tokens(base) == 2
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def test_estimate_prompt_tokens_counts_reasoning_metadata() -> None:
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base = [
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Message(role=Role.USER, content="hi"),
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Message(role=Role.ASSISTANT, content=None),
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]
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with_reasoning = [
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Message(role=Role.USER, content="hi"),
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Message(
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role=Role.ASSISTANT,
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content=None,
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metadata={"reasoning_content": "abcdefgh"},
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),
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]
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assert estimate_prompt_tokens(with_reasoning) - estimate_prompt_tokens(base) == 2
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def test_estimate_prompt_tokens_counts_tool_result_ids() -> None:
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messages = [
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Message(role=Role.USER, content="hi"),
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Message(role=Role.TOOL, content="ok", tool_call_id="abcdefgh"),
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]
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assert estimate_prompt_tokens(messages) == 11
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