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test_reasoning_parser.py
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import pytest
from tensorrt_llm.llmapi.reasoning_parser import ReasoningParserFactory
R1_START, R1_END = "<think>", "</think>"
@pytest.mark.parametrize(("text", "content", "reasoning_context"), [
("a b", "", "a b"),
(f"{R1_END} a b", " a b", ""),
(f"a {R1_END} b", " b", "a "),
(f"a b {R1_END}", "", "a b "),
(f"{R1_START} a {R1_END} b", " b", f"{R1_START} a "),
])
def test_deepseek_r1_reasoning_parser(text: str, content: str,
reasoning_context: str):
reasoning_parser = ReasoningParserFactory.create_reasoning_parser(
"deepseek-r1")
result = reasoning_parser.parse(text)
assert result.content == content
assert result.reasoning_content == reasoning_context
@pytest.mark.parametrize(("delta_texts", "content", "reasoning_context"), [
(["a", "b"], ["", ""], ["a", "b"]),
([R1_END, "a", "b"], ["", "a", "b"], ["", "", ""]),
(["a", R1_END, "b"], ["", "", "b"], ["a", "", ""]),
(["a", "b", R1_END], ["", "", ""], ["a", "b", ""]),
(["a", f"l{R1_END}", "b"], ["", "", "b"], ["a", "l", ""]),
(["a", f"l{R1_END}r", "b"], ["", "r", "b"], ["a", "l", ""]),
(["a", f"{R1_END}r", "b"], ["", "r", "b"], ["a", "", ""]),
])
def test_deepseek_r1_reasoning_parser_stream(delta_texts: list, content: list,
reasoning_context: list):
reasoning_parser = ReasoningParserFactory.create_reasoning_parser(
"deepseek-r1")
for i, delta_text in enumerate(delta_texts):
result = reasoning_parser.parse_delta(delta_text)
assert result.content == content[i]
assert result.reasoning_content == reasoning_context[i]
@pytest.mark.parametrize(("text", "content", "reasoning_context"), [
("a<think>b</think>c", "c", "b"),
("<think>a</think>b", "b", "a"),
("<think>a", "", "a"),
("a", "a", ""),
("<think>", "", ""),
])
def test_qwen3_reasoning_parser(text: str, content: str,
reasoning_context: str):
reasoning_parser = ReasoningParserFactory.create_reasoning_parser("qwen3")
result = reasoning_parser.parse(text)
assert result.content == content
assert result.reasoning_content == reasoning_context
@pytest.mark.parametrize(("delta_texts", "content", "reasoning_context"), [
(["<think>a", "l</think>r", "b"], ["", "r", "b"], ["a", "l", ""]),
(["<th", "ink>a</think>b"], ["", "b"], ["", "a"]),
(["<think>a</th", "ink>b"], ["", "b"], ["a", ""]),
(["<think>", "a</think>b"], ["", "b"], ["", "a"]),
(["<think>a</think>", "b"], ["", "b"], ["a", ""]),
(["<think>a</th", "ank></th", "ink>b"], ["", "", "b"
], ["a", "</thank>", ""]),
])
def test_qwen3_reasoning_parser_stream(delta_texts: list, content: list,
reasoning_context: list):
reasoning_parser = ReasoningParserFactory.create_reasoning_parser("qwen3")
for i, delta_text in enumerate(delta_texts):
result = reasoning_parser.parse_delta(delta_text)
assert result.content == content[i]
assert result.reasoning_content == reasoning_context[i]
@pytest.mark.parametrize(
("text", "content", "reasoning_context", "chat_template_kwargs"),
[
("a b", "", "a b", None),
(f"{R1_END} a b", " a b", "", None),
(f"a {R1_END} b", " b", "a ", None),
(f"a b {R1_END}", "", "a b ", None),
(f"{R1_START} a {R1_END} b", " b", f"{R1_START} a ", None),
# All without reasoning_context.
("a b", "a b", "", {
"enable_thinking": False
}),
(f"{R1_END} a b", f"{R1_END} a b", "", {
"enable_thinking": False
}),
(f"a {R1_END} b", f"a {R1_END} b", "", {
"enable_thinking": False
}),
(f"a b {R1_END}", f"a b {R1_END}", "", {
"enable_thinking": False
}),
# force_nonempty_content swaps reasoning into content when content is
# empty (reasoning_at_start stays True, so parsing is unchanged).
("a b", "a b", "", {
"force_nonempty_content": True
}),
(f"a {R1_END} b", " b", "a ", {
"force_nonempty_content": True
}),
(f"a b {R1_END}", "a b ", "", {
"force_nonempty_content": True
}),
])
def test_nano_v3_reasoning_parser(text: str, content: str,
reasoning_context: str,
chat_template_kwargs: dict):
reasoning_parser = ReasoningParserFactory.create_reasoning_parser(
"nano-v3", chat_template_kwargs)
result = reasoning_parser.parse(text)
print(f"text: {text}, result: {result}")
assert result.content == content
assert result.reasoning_content == reasoning_context
@pytest.mark.parametrize(
("delta_texts", "content", "reasoning_context", "chat_template_kwargs"),
[
(["a", "b"], ["", ""], ["a", "b"], None),
([R1_END, "a", "b"], ["", "a", "b"], ["", "", ""], None),
(["a", R1_END, "b"], ["", "", "b"], ["a", "", ""], None),
(["a", "b", R1_END], ["", "", ""], ["a", "b", ""], None),
(["a", f"l{R1_END}", "b"], ["", "", "b"], ["a", "l", ""], None),
(["a", f"l{R1_END}r", "b"], ["", "r", "b"], ["a", "l", ""], None),
(["a", f"{R1_END}r", "b"], ["", "r", "b"], ["a", "", ""], None),
# All without reasoning_context.
(["a", "b"], ["a", "b"], ["", ""], {
"enable_thinking": False
}),
([R1_END, "a", "b"], ["", f"{R1_END}a", "b"], ["", "", ""], {
"enable_thinking": False
}),
(["a", R1_END, "b"], ["a", "", f"{R1_END}b"], ["", "", ""], {
"enable_thinking": False
}),
(["a", "b", R1_END], ["a", "b", ""], ["", "", ""], {
"enable_thinking": False
}),
(["a", f"l{R1_END}", "b"], ["a", f"l{R1_END}", "b"], ["", "", ""], {
"enable_thinking": False
}),
(["a", f"l{R1_END}r", "b"], ["a", f"l{R1_END}r", "b"], ["", "", ""], {
"enable_thinking": False
}),
(["a", f"{R1_END}r", "b"], ["a", f"{R1_END}r", "b"], ["", "", ""], {
"enable_thinking": False
}),
])
def test_nano_v3_reasoning_parser_stream(delta_texts: list, content: list,
reasoning_context: list,
chat_template_kwargs: dict):
reasoning_parser = ReasoningParserFactory.create_reasoning_parser(
"nano-v3", chat_template_kwargs)
for i, delta_text in enumerate(delta_texts):
result = reasoning_parser.parse_delta(delta_text)
print(f"delta_text: {delta_text}, result: {result}")
assert result.content == content[i]
assert result.reasoning_content == reasoning_context[i]
@pytest.mark.parametrize(("delta_texts", "finish_content", "finish_reasoning",
"chat_template_kwargs"), [
(["a", "b"], "", "", None),
([R1_END, "a", "b"], "", "", None),
(["a", R1_END, "b"], "", "", None),
(["a", "b"], "", "", {
"enable_thinking": False
}),
([f"{R1_START}a", "b"], "", "", {
"enable_thinking": False
}),
(["a", "b"], "", "", {
"force_nonempty_content": False
}),
(["a", "b"], "ab", "", {
"force_nonempty_content": True
}),
([R1_END, "a", "b"], "", "", {
"force_nonempty_content": True
}),
])
def test_nano_v3_reasoning_parser_finish(delta_texts: list, finish_content: str,
finish_reasoning: str,
chat_template_kwargs: dict):
reasoning_parser = ReasoningParserFactory.create_reasoning_parser(
"nano-v3", chat_template_kwargs)
for delta_text in delta_texts:
reasoning_parser.parse_delta(delta_text)
result = reasoning_parser.finish()
assert result.content == finish_content
assert result.reasoning_content == finish_reasoning