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1217 lines
53 KiB
Python
1217 lines
53 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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# ruff: noqa: E501
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import json
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from typing import Any
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import pytest
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from vllm.entrypoints.openai.protocol import (ChatCompletionToolsParam,
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FunctionCall, ToolCall)
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from vllm.entrypoints.openai.tool_parsers import MinimaxToolParser
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from vllm.transformers_utils.tokenizer import get_tokenizer
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# Use a common model that is likely to be available
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MODEL = "MiniMaxAi/MiniMax-M1-40k"
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@pytest.fixture(scope="module")
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def minimax_tokenizer():
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return get_tokenizer(tokenizer_name=MODEL)
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@pytest.fixture
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def minimax_tool_parser(minimax_tokenizer):
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return MinimaxToolParser(minimax_tokenizer)
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@pytest.fixture
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def sample_tools():
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return [
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ChatCompletionToolsParam(type="function",
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function={
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"name": "get_current_weather",
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"description": "Get the current weather",
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"parameters": {
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"type": "object",
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"properties": {
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"city": {
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"type": "string",
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"description": "The city name"
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},
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"state": {
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"type": "string",
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"description":
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"The state code"
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},
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"unit": {
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"type": "string",
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"enum":
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["fahrenheit", "celsius"]
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}
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},
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"required": ["city", "state"]
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}
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}),
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ChatCompletionToolsParam(type="function",
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function={
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"name": "calculate_area",
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"description":
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"Calculate area of a shape",
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"parameters": {
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"type": "object",
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"properties": {
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"shape": {
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"type": "string"
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},
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"dimensions": {
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"type": "object"
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},
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"precision": {
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"type": "integer"
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}
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}
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}
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})
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]
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def assert_tool_calls(actual_tool_calls: list[ToolCall],
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expected_tool_calls: list[ToolCall]):
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assert len(actual_tool_calls) == len(expected_tool_calls)
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for actual_tool_call, expected_tool_call in zip(actual_tool_calls,
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expected_tool_calls):
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assert isinstance(actual_tool_call.id, str)
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assert len(actual_tool_call.id) > 16
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assert actual_tool_call.type == "function"
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assert actual_tool_call.function == expected_tool_call.function
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def test_extract_tool_calls_no_tools(minimax_tool_parser):
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model_output = "This is a test"
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extracted_tool_calls = minimax_tool_parser.extract_tool_calls(
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model_output, request=None) # type: ignore[arg-type]
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assert not extracted_tool_calls.tools_called
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assert extracted_tool_calls.tool_calls == []
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assert extracted_tool_calls.content == model_output
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@pytest.mark.parametrize(
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ids=[
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"single_tool_call",
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"multiple_tool_calls",
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"tool_call_with_content_before",
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"tool_call_with_single_line_json",
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"tool_call_incomplete_tag",
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],
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argnames=["model_output", "expected_tool_calls", "expected_content"],
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argvalues=[
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(
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"""<tool_calls>
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{"name": "get_current_weather", "arguments": {"city": "Dallas", "state": "TX", "unit": "fahrenheit"}}
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</tool_calls>""",
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[
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ToolCall(function=FunctionCall(
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name="get_current_weather",
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arguments=json.dumps({
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"city": "Dallas",
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"state": "TX",
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"unit": "fahrenheit",
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}),
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))
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],
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None,
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),
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(
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"""<tool_calls>
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{"name": "get_current_weather", "arguments": {"city": "Dallas", "state": "TX", "unit": "fahrenheit"}}
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{"name": "get_current_weather", "arguments": {"city": "Orlando", "state": "FL", "unit": "fahrenheit"}}
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</tool_calls>""",
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[
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ToolCall(function=FunctionCall(
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name="get_current_weather",
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arguments=json.dumps({
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"city": "Dallas",
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"state": "TX",
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"unit": "fahrenheit",
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}),
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)),
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ToolCall(function=FunctionCall(
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name="get_current_weather",
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arguments=json.dumps({
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"city": "Orlando",
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"state": "FL",
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"unit": "fahrenheit",
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}),
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)),
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],
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None,
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),
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(
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"""I'll help you check the weather. <tool_calls>
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{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA", "unit": "celsius"}}
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</tool_calls>""",
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[
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ToolCall(function=FunctionCall(
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name="get_current_weather",
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arguments=json.dumps({
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"city": "Seattle",
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"state": "WA",
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"unit": "celsius",
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}),
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))
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],
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"I'll help you check the weather.",
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),
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(
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"""<tool_calls>
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{"name": "get_current_weather", "arguments": {"city": "New York", "state": "NY", "unit": "celsius"}}
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</tool_calls>""",
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[
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ToolCall(function=FunctionCall(
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name="get_current_weather",
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arguments=json.dumps({
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"city": "New York",
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"state": "NY",
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"unit": "celsius",
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}),
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))
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],
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None,
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),
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(
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"""<tool_calls>
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{"name": "get_current_weather", "arguments": {"city": "Boston", "state": "MA"}}""",
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[
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ToolCall(function=FunctionCall(
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name="get_current_weather",
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arguments=json.dumps({
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"city": "Boston",
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"state": "MA",
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}),
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))
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],
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None,
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),
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],
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)
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def test_extract_tool_calls(minimax_tool_parser, model_output,
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expected_tool_calls, expected_content):
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extracted_tool_calls = minimax_tool_parser.extract_tool_calls(
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model_output, request=None) # type: ignore[arg-type]
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assert extracted_tool_calls.tools_called
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assert_tool_calls(extracted_tool_calls.tool_calls, expected_tool_calls)
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assert extracted_tool_calls.content == expected_content
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def test_preprocess_model_output_with_thinking_tags(minimax_tool_parser):
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"""Test that tool calls within thinking tags are removed during preprocessing."""
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model_output = """<think>Let me think about this. <tool_calls>
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{"name": "fake_tool", "arguments": {"param": "value"}}
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</tool_calls> This should be removed.</think>
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I'll help you with that. <tool_calls>
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{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA"}}
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</tool_calls>"""
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processed_output = minimax_tool_parser.preprocess_model_output(
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model_output)
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# The tool call within thinking tags should be removed
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assert "fake_tool" not in processed_output
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# But the thinking tag itself should remain
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assert "<think>" in processed_output
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assert "</think>" in processed_output
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# The actual tool call outside thinking tags should remain
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assert "get_current_weather" in processed_output
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def test_extract_tool_calls_with_thinking_tags(minimax_tool_parser):
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"""Test tool extraction when thinking tags contain tool calls that should be ignored."""
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model_output = """<think>I should use a tool. <tool_calls>
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{"name": "ignored_tool", "arguments": {"should": "ignore"}}
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</tool_calls></think>
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Let me help you with the weather. <tool_calls>
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{"name": "get_current_weather", "arguments": {"city": "Miami", "state": "FL", "unit": "fahrenheit"}}
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</tool_calls>"""
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extracted_tool_calls = minimax_tool_parser.extract_tool_calls(
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model_output, request=None) # type: ignore[arg-type]
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assert extracted_tool_calls.tools_called
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assert len(extracted_tool_calls.tool_calls) == 1
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assert extracted_tool_calls.tool_calls[
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0].function.name == "get_current_weather"
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# Content extraction is based on the position of the first <tool_calls> in the original model_output
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# Since preprocessing removes tool calls within thinking tags, the actual first <tool_calls> is the external one
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expected_content = """<think>I should use a tool. <tool_calls>
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{"name": "ignored_tool", "arguments": {"should": "ignore"}}
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</tool_calls></think>
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Let me help you with the weather."""
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assert extracted_tool_calls.content == expected_content
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def test_extract_tool_calls_invalid_json(minimax_tool_parser):
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"""Test that invalid JSON in tool calls is handled gracefully."""
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model_output = """<tool_calls>
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{"name": "valid_tool", "arguments": {"city": "Seattle"}}
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{invalid json here}
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{"name": "another_valid_tool", "arguments": {"param": "value"}}
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</tool_calls>"""
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extracted_tool_calls = minimax_tool_parser.extract_tool_calls(
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model_output, request=None) # type: ignore[arg-type]
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assert extracted_tool_calls.tools_called
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# Should extract only the valid JSON tool calls
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assert len(extracted_tool_calls.tool_calls) == 2
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assert extracted_tool_calls.tool_calls[0].function.name == "valid_tool"
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assert extracted_tool_calls.tool_calls[
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1].function.name == "another_valid_tool"
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def test_extract_tool_calls_missing_name_or_arguments(minimax_tool_parser):
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"""Test that tool calls missing name or arguments are filtered out."""
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model_output = """<tool_calls>
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{"name": "valid_tool", "arguments": {"city": "Seattle"}}
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{"name": "missing_args"}
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{"arguments": {"city": "Portland"}}
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{"name": "another_valid_tool", "arguments": {"param": "value"}}
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</tool_calls>"""
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extracted_tool_calls = minimax_tool_parser.extract_tool_calls(
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model_output, request=None) # type: ignore[arg-type]
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assert extracted_tool_calls.tools_called
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# Should extract only the valid tool calls with both name and arguments
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assert len(extracted_tool_calls.tool_calls) == 2
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assert extracted_tool_calls.tool_calls[0].function.name == "valid_tool"
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assert extracted_tool_calls.tool_calls[
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1].function.name == "another_valid_tool"
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def test_streaming_basic_functionality(minimax_tool_parser):
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"""Test basic streaming functionality."""
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# Reset streaming state
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minimax_tool_parser.current_tool_name_sent = False
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minimax_tool_parser.prev_tool_call_arr = []
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minimax_tool_parser.current_tool_id = -1
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minimax_tool_parser.streamed_args_for_tool = []
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# Test with a simple tool call
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current_text = """<tool_calls>
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{"name": "get_current_weather", "arguments": {"city": "Seattle"}}
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</tool_calls>"""
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# First call should handle the initial setup
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result = minimax_tool_parser.extract_tool_calls_streaming(
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previous_text="",
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current_text=current_text,
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delta_text="</tool_calls>",
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previous_token_ids=[],
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current_token_ids=[],
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delta_token_ids=[],
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request=None,
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)
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# The result might be None or contain tool call information
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# This depends on the internal state management
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if result is not None and hasattr(result,
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'tool_calls') and result.tool_calls:
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assert len(result.tool_calls) >= 0
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def test_streaming_with_content_before_tool_calls(minimax_tool_parser):
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"""Test streaming when there's content before tool calls."""
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# Reset streaming state
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minimax_tool_parser.current_tool_name_sent = False
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minimax_tool_parser.prev_tool_call_arr = []
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minimax_tool_parser.current_tool_id = -1
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minimax_tool_parser.streamed_args_for_tool = []
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current_text = "I'll help you with that. <tool_calls>"
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# When there's content before tool calls, it should be returned as content
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result = minimax_tool_parser.extract_tool_calls_streaming(
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previous_text="I'll help you",
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current_text=current_text,
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delta_text=" with that. <tool_calls>",
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previous_token_ids=[],
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current_token_ids=[],
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delta_token_ids=[],
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request=None,
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)
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if result is not None and hasattr(result, 'content'):
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# Should contain some content
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assert result.content is not None
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def test_streaming_no_tool_calls(minimax_tool_parser):
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"""Test streaming when there are no tool calls."""
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current_text = "This is just regular text without any tool calls."
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result = minimax_tool_parser.extract_tool_calls_streaming(
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previous_text="This is just regular text",
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current_text=current_text,
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delta_text=" without any tool calls.",
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previous_token_ids=[],
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current_token_ids=[],
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delta_token_ids=[],
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request=None,
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)
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# Should return the delta text as content
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assert result is not None
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assert hasattr(result, 'content')
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assert result.content == " without any tool calls."
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def test_streaming_with_thinking_tags(minimax_tool_parser):
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"""Test streaming with thinking tags that contain tool calls."""
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# Reset streaming state
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minimax_tool_parser.current_tool_name_sent = False
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minimax_tool_parser.prev_tool_call_arr = []
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minimax_tool_parser.current_tool_id = -1
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minimax_tool_parser.streamed_args_for_tool = []
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current_text = """<think><tool_calls>{"name": "ignored", "arguments": {}}</tool_calls></think><tool_calls>{"name": "real_tool", "arguments": {"param": "value"}}</tool_calls>"""
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result = minimax_tool_parser.extract_tool_calls_streaming(
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previous_text="",
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current_text=current_text,
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delta_text=current_text,
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previous_token_ids=[],
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current_token_ids=[],
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delta_token_ids=[],
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request=None,
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)
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# The preprocessing should remove tool calls from thinking tags
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# and only process the real tool call
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if result is not None and hasattr(result,
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'tool_calls') and result.tool_calls:
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for tool_call in result.tool_calls:
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assert tool_call.function.name != "ignored"
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def test_extract_tool_calls_multiline_json_not_supported(minimax_tool_parser):
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"""Test that multiline JSON in tool calls is not currently supported."""
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model_output = """<tool_calls>
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{
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"name": "get_current_weather",
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"arguments": {
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"city": "New York",
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"state": "NY",
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"unit": "celsius"
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}
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}
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</tool_calls>"""
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extracted_tool_calls = minimax_tool_parser.extract_tool_calls(
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model_output, request=None) # type: ignore[arg-type]
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# Multiline JSON is currently not supported, should return no tools called
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assert not extracted_tool_calls.tools_called
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assert extracted_tool_calls.tool_calls == []
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assert extracted_tool_calls.content is None
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def test_streaming_arguments_incremental_output(minimax_tool_parser):
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"""Test that streaming arguments are returned incrementally, not cumulatively."""
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# Reset streaming state
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minimax_tool_parser.current_tool_name_sent = False
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minimax_tool_parser.prev_tool_call_arr = []
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minimax_tool_parser.current_tool_id = -1
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minimax_tool_parser.streamed_args_for_tool = []
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# Simulate progressive tool call building
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stages = [
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# Stage 1: Function name complete
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'<tool_calls>\n{"name": "get_current_weather", "arguments": ',
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# Stage 2: Arguments object starts with first key
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'<tool_calls>\n{"name": "get_current_weather", "arguments": {"city": ',
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# Stage 3: First parameter value added
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'<tool_calls>\n{"name": "get_current_weather", "arguments": {"city": "Seattle"',
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# Stage 4: Second parameter added
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'<tool_calls>\n{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA"',
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# Stage 5: Third parameter added, arguments complete
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'<tool_calls>\n{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA", "unit": "celsius"}}',
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# Stage 6: Tool calls closed
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'<tool_calls>\n{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA", "unit": "celsius"}}\n</tool',
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'<tool_calls>\n{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA", "unit": "celsius"}}\n</tool_calls>'
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]
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function_name_sent = False
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previous_args_content = ""
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for i, current_text in enumerate(stages):
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previous_text = stages[i - 1] if i > 0 else ""
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delta_text = current_text[len(previous_text
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):] if i > 0 else current_text
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result = minimax_tool_parser.extract_tool_calls_streaming(
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previous_text=previous_text,
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current_text=current_text,
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delta_text=delta_text,
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previous_token_ids=[],
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current_token_ids=[],
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delta_token_ids=[],
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request=None,
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)
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print(f"Stage {i}: Current text: {repr(current_text)}")
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print(f"Stage {i}: Delta text: {repr(delta_text)}")
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if result is not None and hasattr(result,
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'tool_calls') and result.tool_calls:
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tool_call = result.tool_calls[0]
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# Check if function name is sent (should happen only once)
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if tool_call.function and tool_call.function.name:
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assert tool_call.function.name == "get_current_weather"
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function_name_sent = True
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print(
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f"Stage {i}: Function name sent: {tool_call.function.name}"
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)
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# Check if arguments are sent incrementally
|
|
if tool_call.function and tool_call.function.arguments:
|
|
args_fragment = tool_call.function.arguments
|
|
print(
|
|
f"Stage {i}: Got arguments fragment: {repr(args_fragment)}"
|
|
)
|
|
|
|
# For incremental output, each fragment should be new content only
|
|
# The fragment should not contain all previous content
|
|
if i >= 2 and previous_args_content: # After we start getting arguments
|
|
# The new fragment should not be identical to or contain all previous content
|
|
assert args_fragment != previous_args_content, f"Fragment should be incremental, not cumulative: {args_fragment}"
|
|
|
|
# If this is truly incremental, the fragment should be relatively small
|
|
# compared to the complete arguments so far
|
|
if len(args_fragment) > len(previous_args_content):
|
|
print(
|
|
"Warning: Fragment seems cumulative rather than incremental"
|
|
)
|
|
|
|
previous_args_content = args_fragment
|
|
|
|
# Verify function name was sent at least once
|
|
assert function_name_sent, "Function name should have been sent"
|
|
|
|
|
|
def test_streaming_arguments_delta_only(minimax_tool_parser):
|
|
"""Test that each streaming call returns only the delta (new part) of arguments."""
|
|
# Reset streaming state
|
|
minimax_tool_parser.current_tool_name_sent = False
|
|
minimax_tool_parser.prev_tool_call_arr = []
|
|
minimax_tool_parser.current_tool_id = -1
|
|
minimax_tool_parser.streamed_args_for_tool = []
|
|
|
|
# Simulate two consecutive calls with growing arguments
|
|
call1_text = '<tool_calls>\n{"name": "test_tool", "arguments": {"param1": "value1"}}'
|
|
call2_text = '<tool_calls>\n{"name": "test_tool", "arguments": {"param1": "value1", "param2": "value2"}}'
|
|
|
|
print(f"Call 1 text: {repr(call1_text)}")
|
|
print(f"Call 2 text: {repr(call2_text)}")
|
|
|
|
# First call - should get the function name and initial arguments
|
|
result1 = minimax_tool_parser.extract_tool_calls_streaming(
|
|
previous_text="",
|
|
current_text=call1_text,
|
|
delta_text=call1_text,
|
|
previous_token_ids=[],
|
|
current_token_ids=[],
|
|
delta_token_ids=[],
|
|
request=None,
|
|
)
|
|
|
|
print(f"Result 1: {result1}")
|
|
if result1 and hasattr(result1, 'tool_calls') and result1.tool_calls:
|
|
for i, tc in enumerate(result1.tool_calls):
|
|
print(f" Tool call {i}: {tc}")
|
|
|
|
# Second call - should only get the delta (new part) of arguments
|
|
result2 = minimax_tool_parser.extract_tool_calls_streaming(
|
|
previous_text=call1_text,
|
|
current_text=call2_text,
|
|
delta_text=', "param2": "value2"}',
|
|
previous_token_ids=[],
|
|
current_token_ids=[],
|
|
delta_token_ids=[],
|
|
request=None,
|
|
)
|
|
|
|
print(f"Result 2: {result2}")
|
|
if result2 and hasattr(result2, 'tool_calls') and result2.tool_calls:
|
|
for i, tc in enumerate(result2.tool_calls):
|
|
print(f" Tool call {i}: {tc}")
|
|
|
|
# Verify the second call only returns the delta
|
|
if result2 is not None and hasattr(result2,
|
|
'tool_calls') and result2.tool_calls:
|
|
tool_call = result2.tool_calls[0]
|
|
if tool_call.function and tool_call.function.arguments:
|
|
args_delta = tool_call.function.arguments
|
|
print(f"Arguments delta from second call: {repr(args_delta)}")
|
|
|
|
# Should only contain the new part, not the full arguments
|
|
# The delta should be something like ', "param2": "value2"}' or just '"param2": "value2"'
|
|
assert ', "param2": "value2"}' in args_delta or '"param2": "value2"' in args_delta, f"Expected delta containing param2, got: {args_delta}"
|
|
|
|
# Should NOT contain the previous parameter data
|
|
assert '"param1": "value1"' not in args_delta, f"Arguments delta should not contain previous data: {args_delta}"
|
|
|
|
# The delta should be relatively short (incremental, not cumulative)
|
|
expected_max_length = len(
|
|
', "param2": "value2"}') + 10 # Some tolerance
|
|
assert len(
|
|
args_delta
|
|
) <= expected_max_length, f"Delta seems too long (possibly cumulative): {args_delta}"
|
|
|
|
print("✓ Delta validation passed")
|
|
else:
|
|
print("No arguments in result2 tool call")
|
|
else:
|
|
print("No tool calls in result2 or result2 is None")
|
|
# This might be acceptable if no incremental update is needed
|
|
# But let's at least verify that result1 had some content
|
|
assert result1 is not None, "At least the first call should return something"
|
|
|
|
|
|
def test_streaming_openai_compatibility(minimax_tool_parser):
|
|
"""Test that streaming behavior with buffering works correctly."""
|
|
# Reset streaming state
|
|
minimax_tool_parser.current_tool_name_sent = False
|
|
minimax_tool_parser.prev_tool_call_arr = []
|
|
minimax_tool_parser.current_tool_id = -1
|
|
minimax_tool_parser.streamed_args_for_tool = []
|
|
# Reset buffering state
|
|
minimax_tool_parser.pending_buffer = ""
|
|
minimax_tool_parser.in_thinking_tag = False
|
|
minimax_tool_parser.thinking_depth = 0
|
|
|
|
# Test scenario: simple buffering without complex tool call context
|
|
test_cases: list[dict[str, Any]] = [
|
|
{
|
|
'stage': 'Token: <',
|
|
'previous': '',
|
|
'current': '<',
|
|
'delta': '<',
|
|
'expected_content': None, # Should be buffered
|
|
},
|
|
{
|
|
'stage': 'Token: tool_calls>',
|
|
'previous': '<',
|
|
'current': '<tool_calls>',
|
|
'delta': 'tool_calls>',
|
|
'expected_content': None, # Complete tag, should not output
|
|
},
|
|
{
|
|
'stage': 'Regular content',
|
|
'previous': 'Hello',
|
|
'current': 'Hello world',
|
|
'delta': ' world',
|
|
'expected_content': ' world', # Normal content should pass through
|
|
},
|
|
{
|
|
'stage': 'Content with end tag start',
|
|
'previous': 'Text',
|
|
'current': 'Text content</tool_',
|
|
'delta': ' content</tool_',
|
|
'expected_content':
|
|
' content', # Content part output, </tool_ buffered
|
|
},
|
|
{
|
|
'stage': 'Complete end tag',
|
|
'previous': 'Text content</tool_',
|
|
'current': 'Text content</tool_calls>',
|
|
'delta': 'calls>',
|
|
'expected_content': None, # Complete close tag, should not output
|
|
},
|
|
]
|
|
|
|
for i, test_case in enumerate(test_cases):
|
|
print(f"\n--- Stage {i}: {test_case['stage']} ---")
|
|
print(f"Previous: {repr(test_case['previous'])}")
|
|
print(f"Current: {repr(test_case['current'])}")
|
|
print(f"Delta: {repr(test_case['delta'])}")
|
|
|
|
result = minimax_tool_parser.extract_tool_calls_streaming(
|
|
previous_text=test_case['previous'],
|
|
current_text=test_case['current'],
|
|
delta_text=test_case['delta'],
|
|
previous_token_ids=[],
|
|
current_token_ids=[],
|
|
delta_token_ids=[],
|
|
request=None,
|
|
)
|
|
|
|
print(f"Result: {result}")
|
|
|
|
# Check expected content
|
|
if test_case['expected_content'] is None:
|
|
assert result is None or not getattr(result, 'content', None), \
|
|
f"Stage {i}: Expected no content, got {result}"
|
|
print("✓ No content output as expected")
|
|
else:
|
|
assert result is not None and hasattr(result, 'content'), \
|
|
f"Stage {i}: Expected content, got {result}"
|
|
assert result.content == test_case['expected_content'], \
|
|
f"Stage {i}: Expected content {test_case['expected_content']}, got {result.content}"
|
|
print(f"✓ Content matches: {repr(result.content)}")
|
|
|
|
print("✓ Streaming test with buffering completed successfully")
|
|
|
|
|
|
def test_streaming_thinking_tag_buffering(minimax_tool_parser):
|
|
"""Test that tool calls within thinking tags are properly handled during streaming."""
|
|
# Reset streaming state
|
|
minimax_tool_parser.current_tool_name_sent = False
|
|
minimax_tool_parser.prev_tool_call_arr = []
|
|
minimax_tool_parser.current_tool_id = -1
|
|
minimax_tool_parser.streamed_args_for_tool = []
|
|
# Reset buffering state
|
|
minimax_tool_parser.pending_buffer = ""
|
|
minimax_tool_parser.in_thinking_tag = False
|
|
minimax_tool_parser.thinking_depth = 0
|
|
|
|
# Test scenario: tool calls within thinking tags should be ignored
|
|
test_cases: list[dict[str, Any]] = [
|
|
{
|
|
'stage': 'Start thinking',
|
|
'previous': '',
|
|
'current': '<think>I need to use a tool. <tool_calls>',
|
|
'delta': '<think>I need to use a tool. <tool_calls>',
|
|
'expected_content':
|
|
'<think>I need to use a tool. <tool_calls>', # Should pass through as content
|
|
},
|
|
{
|
|
'stage':
|
|
'Tool call in thinking',
|
|
'previous':
|
|
'<think>I need to use a tool. <tool_calls>',
|
|
'current':
|
|
'<think>I need to use a tool. <tool_calls>\n{"name": "ignored_tool", "arguments": {"param": "value"}}\n</tool_calls>',
|
|
'delta':
|
|
'\n{"name": "ignored_tool", "arguments": {"param": "value"}}\n</tool_calls>',
|
|
'expected_content':
|
|
'\n{"name": "ignored_tool", "arguments": {"param": "value"}}\n</tool_calls>', # </tool_calls> should be preserved in thinking tags
|
|
},
|
|
{
|
|
'stage': 'Real tool call after thinking',
|
|
'previous':
|
|
'<think>I need to use a tool. <tool_calls>\n{"name": "ignored_tool", "arguments": {"param": "value"}}\n</tool_calls></think>',
|
|
'current':
|
|
'<think>I need to use a tool. <tool_calls>\n{"name": "ignored_tool", "arguments": {"param": "value"}}\n</tool_calls></think>\n<tool_calls>',
|
|
'delta': '\n<tool_calls>',
|
|
'expected_content':
|
|
'\n', # Should output '\n' and suppress <tool_calls>
|
|
}
|
|
]
|
|
|
|
for i, test_case in enumerate(test_cases):
|
|
print(f"\n--- Stage {i}: {test_case['stage']} ---")
|
|
print(f"Previous: {repr(test_case['previous'])}")
|
|
print(f"Current: {repr(test_case['current'])}")
|
|
print(f"Delta: {repr(test_case['delta'])}")
|
|
|
|
result = minimax_tool_parser.extract_tool_calls_streaming(
|
|
previous_text=test_case['previous'],
|
|
current_text=test_case['current'],
|
|
delta_text=test_case['delta'],
|
|
previous_token_ids=[],
|
|
current_token_ids=[],
|
|
delta_token_ids=[],
|
|
request=None,
|
|
)
|
|
|
|
print(f"Result: {result}")
|
|
|
|
# Check expected content
|
|
if 'expected_content' in test_case:
|
|
if test_case['expected_content'] is None:
|
|
assert result is None or not getattr(result, 'content', None), \
|
|
f"Stage {i}: Expected no content, got {result}"
|
|
else:
|
|
assert result is not None and hasattr(result, 'content'), \
|
|
f"Stage {i}: Expected content, got {result}"
|
|
assert result.content == test_case['expected_content'], \
|
|
f"Stage {i}: Expected content {test_case['expected_content']}, got {result.content}"
|
|
print(f"✓ Content matches: {repr(result.content)}")
|
|
|
|
# Check tool calls
|
|
if test_case.get('expected_tool_call'):
|
|
assert result is not None and hasattr(result, 'tool_calls') and result.tool_calls, \
|
|
f"Stage {i}: Expected tool call, got {result}"
|
|
|
|
tool_call = result.tool_calls[0]
|
|
assert tool_call.function.name == "real_tool", \
|
|
f"Expected real_tool, got {tool_call.function.name}"
|
|
print(f"✓ Real tool call detected: {tool_call.function.name}")
|
|
|
|
print("✓ Thinking tag buffering test completed successfully")
|
|
|
|
|
|
def reset_streaming_state(minimax_tool_parser):
|
|
"""Helper function to properly reset the streaming state for MinimaxToolParser."""
|
|
# Reset minimax-specific state
|
|
minimax_tool_parser._reset_streaming_state()
|
|
|
|
# Reset base class state (these should still be reset for compatibility)
|
|
minimax_tool_parser.prev_tool_call_arr = []
|
|
minimax_tool_parser.current_tool_id = -1
|
|
minimax_tool_parser.current_tool_name_sent = False
|
|
minimax_tool_parser.streamed_args_for_tool = []
|
|
|
|
|
|
def test_streaming_complex_scenario_with_multiple_tools(minimax_tool_parser):
|
|
"""Test complex streaming scenario: tools inside <think> tags and multiple tool calls in one group."""
|
|
# Reset streaming state
|
|
reset_streaming_state(minimax_tool_parser)
|
|
|
|
# Complex scenario: tools inside thinking tags and multiple tools in one group
|
|
test_stages: list[dict[str, Any]] = [
|
|
{
|
|
'stage': 'Initial content',
|
|
'previous': '',
|
|
'current': 'Let me help you with this task.',
|
|
'delta': 'Let me help you with this task.',
|
|
'expected_content': 'Let me help you with this task.',
|
|
'expected_tool_calls': 0,
|
|
},
|
|
{
|
|
'stage': 'Start thinking tag',
|
|
'previous': 'Let me help you with this task.',
|
|
'current':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.',
|
|
'delta': '<think>I need to analyze this situation first.',
|
|
'expected_content':
|
|
'<think>I need to analyze this situation first.',
|
|
'expected_tool_calls': 0,
|
|
},
|
|
{
|
|
'stage': 'Tool call inside thinking tag starts',
|
|
'previous':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.',
|
|
'current':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>',
|
|
'delta': '<tool_calls>',
|
|
'expected_content':
|
|
'<tool_calls>', # Inside thinking tags, tool tags should be preserved as content
|
|
'expected_tool_calls': 0,
|
|
},
|
|
{
|
|
'stage': 'Complete tool call inside thinking tag',
|
|
'previous':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>',
|
|
'current':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls>',
|
|
'delta':
|
|
'\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls>',
|
|
'expected_content':
|
|
'\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls>',
|
|
'expected_tool_calls':
|
|
0, # Tools inside thinking tags should be ignored
|
|
},
|
|
{
|
|
'stage': 'End thinking tag',
|
|
'previous':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls>',
|
|
'current':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls></think>',
|
|
'delta': '</think>',
|
|
'expected_content': '</think>',
|
|
'expected_tool_calls': 0,
|
|
},
|
|
{
|
|
'stage': 'Multiple tools group starts',
|
|
'previous':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls></think>',
|
|
'current':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls></think>\nNow I need to get weather information and calculate area.<tool_calls>',
|
|
'delta':
|
|
'\nNow I need to get weather information and calculate area.<tool_calls>',
|
|
'expected_content':
|
|
'\nNow I need to get weather information and calculate area.', # <tool_calls> should be filtered
|
|
'expected_tool_calls': 0,
|
|
},
|
|
{
|
|
'stage': 'First tool in group',
|
|
'previous':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls></think>\nNow I need to get weather information and calculate area.<tool_calls>',
|
|
'current':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls></think>\nNow I need to get weather information and calculate area.<tool_calls>\n{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA", "unit": "celsius"}}',
|
|
'delta':
|
|
'\n{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA", "unit": "celsius"}}',
|
|
'expected_content':
|
|
None, # No content should be output when tool call is in progress
|
|
'expected_tool_calls': 1,
|
|
'expected_tool_name': 'get_current_weather',
|
|
},
|
|
{
|
|
'stage': 'Second tool in group',
|
|
'previous':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls></think>\nNow I need to get weather information and calculate area.<tool_calls>\n{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA", "unit": "celsius"}}',
|
|
'current':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls></think>\nNow I need to get weather information and calculate area.<tool_calls>\n{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA", "unit": "celsius"}}\n{"name": "calculate_area", "arguments": {"shape": "rectangle", "dimensions": {"width": 10, "height": 5}}}',
|
|
'delta':
|
|
'\n{"name": "calculate_area", "arguments": {"shape": "rectangle", "dimensions": {"width": 10, "height": 5}}}',
|
|
'expected_content': None,
|
|
'expected_tool_calls': 1,
|
|
'expected_tool_name': 'calculate_area',
|
|
},
|
|
{
|
|
'stage': 'Complete tool calls group',
|
|
'previous':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls></think>\nNow I need to get weather information and calculate area.<tool_calls>\n{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA", "unit": "celsius"}}\n{"name": "calculate_area", "arguments": {"shape": "rectangle", "dimensions": {"width": 10, "height": 5}}}',
|
|
'current':
|
|
'Let me help you with this task.<think>I need to analyze this situation first.<tool_calls>\n{"name": "internal_analysis", "arguments": {"query": "analyze situation"}}\n</tool_calls></think>\nNow I need to get weather information and calculate area.<tool_calls>\n{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA", "unit": "celsius"}}\n{"name": "calculate_area", "arguments": {"shape": "rectangle", "dimensions": {"width": 10, "height": 5}}}</tool_calls>',
|
|
'delta': '</tool_calls>',
|
|
'expected_content': None,
|
|
'expected_tool_calls': 0,
|
|
}
|
|
]
|
|
|
|
tool_calls_count = 0
|
|
|
|
for i, test_case in enumerate(test_stages):
|
|
print(f"\n--- Stage {i}: {test_case['stage']} ---")
|
|
print(
|
|
f"Previous: {repr(test_case['previous'][:100])}{'...' if len(test_case['previous']) > 100 else ''}"
|
|
)
|
|
print(f"Current: {repr(test_case['current'][-100:])}")
|
|
print(f"Delta: {repr(test_case['delta'])}")
|
|
|
|
result = minimax_tool_parser.extract_tool_calls_streaming(
|
|
previous_text=test_case['previous'],
|
|
current_text=test_case['current'],
|
|
delta_text=test_case['delta'],
|
|
previous_token_ids=[],
|
|
current_token_ids=[],
|
|
delta_token_ids=[],
|
|
request=None,
|
|
)
|
|
|
|
print(f"Result: {result}")
|
|
|
|
# Check expected content
|
|
if test_case['expected_content'] is None:
|
|
assert result is None or not getattr(result, 'content', None), \
|
|
f"Stage {i}: Expected no content output, got {result}"
|
|
print("✓ No content output as expected")
|
|
else:
|
|
assert result is not None and hasattr(result, 'content'), \
|
|
f"Stage {i}: Expected content output, got {result}"
|
|
assert result.content == test_case['expected_content'], \
|
|
f"Stage {i}: Expected content {repr(test_case['expected_content'])}, got {repr(result.content)}"
|
|
print(f"✓ Content matches: {repr(result.content)}")
|
|
|
|
# Check tool calls
|
|
expected_tool_calls = test_case['expected_tool_calls']
|
|
actual_tool_calls = len(result.tool_calls) if result and hasattr(
|
|
result, 'tool_calls') and result.tool_calls else 0
|
|
|
|
if expected_tool_calls > 0:
|
|
assert actual_tool_calls >= expected_tool_calls, \
|
|
f"Stage {i}: Expected at least {expected_tool_calls} tool calls, got {actual_tool_calls}"
|
|
|
|
if 'expected_tool_name' in test_case:
|
|
# Find the tool call with the expected name
|
|
found_tool_call = None
|
|
for tool_call in result.tool_calls:
|
|
if tool_call.function.name == test_case[
|
|
'expected_tool_name']:
|
|
found_tool_call = tool_call
|
|
break
|
|
|
|
assert found_tool_call is not None, \
|
|
f"Stage {i}: Expected tool name {test_case['expected_tool_name']} not found in tool calls: {[tc.function.name for tc in result.tool_calls]}"
|
|
print(f"✓ Tool call correct: {found_tool_call.function.name}")
|
|
|
|
# Ensure tools inside thinking tags are not called
|
|
assert found_tool_call.function.name != "internal_analysis", \
|
|
f"Stage {i}: Tool 'internal_analysis' inside thinking tags should not be called"
|
|
|
|
tool_calls_count += actual_tool_calls
|
|
print(f"✓ Detected {actual_tool_calls} tool calls")
|
|
else:
|
|
assert actual_tool_calls == 0, \
|
|
f"Stage {i}: Expected no tool calls, got {actual_tool_calls}"
|
|
|
|
# Verify overall results
|
|
print("\n=== Test Summary ===")
|
|
print(f"Total tool calls count: {tool_calls_count}")
|
|
assert tool_calls_count >= 2, f"Expected at least 2 valid tool calls (outside thinking tags), but got {tool_calls_count}"
|
|
|
|
print("✓ Complex streaming test completed:")
|
|
print(" - ✓ Tools inside thinking tags correctly ignored")
|
|
print(" - ✓ Two tool groups outside thinking tags correctly parsed")
|
|
print(" - ✓ Content and tool call streaming correctly handled")
|
|
print(" - ✓ Buffering mechanism works correctly")
|
|
|
|
|
|
def test_streaming_character_by_character_output(minimax_tool_parser):
|
|
"""Test character-by-character streaming output to simulate real streaming scenarios."""
|
|
# Reset streaming state
|
|
reset_streaming_state(minimax_tool_parser)
|
|
|
|
# Complete text that will be streamed character by character
|
|
complete_text = """I'll help you with the weather analysis. <think>Let me think about this. <tool_calls>
|
|
{"name": "internal_analysis", "arguments": {"type": "thinking"}}
|
|
</tool_calls>This tool should be ignored.</think>
|
|
|
|
Now I'll get the weather information for you. <tool_calls>
|
|
{"name": "get_current_weather", "arguments": {"city": "Seattle", "state": "WA", "unit": "celsius"}}
|
|
{"name": "calculate_area", "arguments": {"shape": "rectangle", "dimensions": {"width": 10, "height": 5}}}
|
|
</tool_calls>Here are the results."""
|
|
|
|
print("\n=== Starting character-by-character streaming test ===")
|
|
print(f"Complete text length: {len(complete_text)} characters")
|
|
|
|
# Track the streaming results
|
|
content_fragments = []
|
|
tool_calls_detected = []
|
|
|
|
# Stream character by character
|
|
for i in range(1, len(complete_text) + 1):
|
|
current_text = complete_text[:i]
|
|
previous_text = complete_text[:i - 1] if i > 1 else ""
|
|
delta_text = complete_text[i - 1:i]
|
|
|
|
# Show progress every 50 characters
|
|
if i % 50 == 0 or i == len(complete_text):
|
|
print(f"Progress: {i}/{len(complete_text)} characters")
|
|
|
|
# Call the streaming parser
|
|
result = minimax_tool_parser.extract_tool_calls_streaming(
|
|
previous_text=previous_text,
|
|
current_text=current_text,
|
|
delta_text=delta_text,
|
|
previous_token_ids=[],
|
|
current_token_ids=[],
|
|
delta_token_ids=[],
|
|
request=None,
|
|
)
|
|
|
|
# Collect results
|
|
if result is not None:
|
|
if hasattr(result, 'content') and result.content:
|
|
content_fragments.append(result.content)
|
|
# Log important content fragments
|
|
if any(
|
|
keyword in result.content for keyword in
|
|
['<think>', '</think>', '<tool_calls>', '</tool_calls>']):
|
|
print(
|
|
f" Char {i}: Content fragment: {repr(result.content)}"
|
|
)
|
|
|
|
if hasattr(result, 'tool_calls') and result.tool_calls:
|
|
for tool_call in result.tool_calls:
|
|
tool_info = {
|
|
'character_position':
|
|
i,
|
|
'function_name':
|
|
tool_call.function.name
|
|
if tool_call.function else None,
|
|
'arguments':
|
|
tool_call.function.arguments
|
|
if tool_call.function else None,
|
|
}
|
|
tool_calls_detected.append(tool_info)
|
|
print(
|
|
f" Char {i}: Tool call detected: {tool_call.function.name}"
|
|
)
|
|
if tool_call.function.arguments:
|
|
print(
|
|
f" Arguments: {repr(tool_call.function.arguments)}"
|
|
)
|
|
|
|
# Verify results
|
|
print("\n=== Streaming Test Results ===")
|
|
print(f"Total content fragments: {len(content_fragments)}")
|
|
print(f"Total tool calls detected: {len(tool_calls_detected)}")
|
|
|
|
# Reconstruct content from fragments
|
|
reconstructed_content = ''.join(content_fragments)
|
|
print(f"Reconstructed content length: {len(reconstructed_content)}")
|
|
|
|
# Verify thinking tags content is preserved
|
|
assert '<think>' in reconstructed_content, "Opening thinking tag should be preserved in content"
|
|
assert '</think>' in reconstructed_content, "Closing thinking tag should be preserved in content"
|
|
|
|
# Verify that tool calls inside thinking tags are NOT extracted as actual tool calls
|
|
thinking_tool_calls = [
|
|
tc for tc in tool_calls_detected
|
|
if tc['function_name'] == 'internal_analysis'
|
|
]
|
|
assert len(
|
|
thinking_tool_calls
|
|
) == 0, f"Tool calls inside thinking tags should be ignored, but found: {thinking_tool_calls}"
|
|
|
|
# Verify that real tool calls outside thinking tags ARE extracted
|
|
weather_tool_calls = [
|
|
tc for tc in tool_calls_detected
|
|
if tc['function_name'] == 'get_current_weather'
|
|
]
|
|
area_tool_calls = [
|
|
tc for tc in tool_calls_detected
|
|
if tc['function_name'] == 'calculate_area'
|
|
]
|
|
print(tool_calls_detected)
|
|
assert len(weather_tool_calls
|
|
) > 0, "get_current_weather tool call should be detected"
|
|
assert len(
|
|
area_tool_calls) > 0, "calculate_area tool call should be detected"
|
|
|
|
# Verify tool call arguments are properly streamed
|
|
weather_args_found = any(tc['arguments'] for tc in weather_tool_calls
|
|
if tc['arguments'])
|
|
area_args_found = any(tc['arguments'] for tc in area_tool_calls
|
|
if tc['arguments'])
|
|
|
|
print(f"Weather tool call with arguments: {weather_args_found}")
|
|
print(f"Area tool call with arguments: {area_args_found}")
|
|
|
|
# Verify content before and after tool calls
|
|
assert 'I\'ll help you with the weather analysis.' in reconstructed_content, "Initial content should be preserved"
|
|
assert 'Here are the results.' in reconstructed_content, "Final content should be preserved"
|
|
|
|
# Verify that <tool_calls> and </tool_calls> tags are not included in the final content
|
|
# (they should be filtered out when not inside thinking tags)
|
|
content_outside_thinking = reconstructed_content
|
|
# Remove thinking tag content to check content outside
|
|
if '<think>' in content_outside_thinking and '</think>' in content_outside_thinking:
|
|
start_think = content_outside_thinking.find('<think>')
|
|
end_think = content_outside_thinking.find('</think>') + len('</think>')
|
|
content_outside_thinking = content_outside_thinking[:
|
|
start_think] + content_outside_thinking[
|
|
end_think:]
|
|
|
|
# Outside thinking tags, tool_calls tags should be filtered
|
|
tool_calls_in_content = content_outside_thinking.count('<tool_calls>')
|
|
assert tool_calls_in_content == 0, f"<tool_calls> tags should be filtered from content outside thinking tags, but found {tool_calls_in_content}"
|
|
|
|
print(
|
|
"\n=== Character-by-character streaming test completed successfully ==="
|
|
)
|
|
print("✓ Tool calls inside thinking tags correctly ignored")
|
|
print("✓ Tool calls outside thinking tags correctly detected")
|
|
print("✓ Content properly streamed and reconstructed")
|
|
print("✓ Tool call tags properly filtered from content")
|
|
print("✓ Character-level streaming works correctly")
|
|
|
|
|
|
def test_streaming_character_by_character_simple_tool_call(
|
|
minimax_tool_parser):
|
|
"""Test character-by-character streaming for a simple tool call scenario."""
|
|
# Reset streaming state
|
|
reset_streaming_state(minimax_tool_parser)
|
|
|
|
# Simple tool call text
|
|
simple_text = 'Let me check the weather. <tool_calls>\n{"name": "get_weather", "arguments": {"city": "NYC"}}\n</tool_calls>'
|
|
|
|
print("\n=== Simple character-by-character test ===")
|
|
print(f"Text: {repr(simple_text)}")
|
|
|
|
content_parts = []
|
|
tool_name_sent = False
|
|
tool_args_sent = False
|
|
|
|
for i in range(1, len(simple_text) + 1):
|
|
current_text = simple_text[:i]
|
|
previous_text = simple_text[:i - 1] if i > 1 else ""
|
|
delta_text = simple_text[i - 1:i]
|
|
|
|
result = minimax_tool_parser.extract_tool_calls_streaming(
|
|
previous_text=previous_text,
|
|
current_text=current_text,
|
|
delta_text=delta_text,
|
|
previous_token_ids=[],
|
|
current_token_ids=[],
|
|
delta_token_ids=[],
|
|
request=None,
|
|
)
|
|
|
|
if result:
|
|
if hasattr(result, 'content') and result.content:
|
|
content_parts.append(result.content)
|
|
print(
|
|
f" Char {i} ({repr(delta_text)}): Content: {repr(result.content)}"
|
|
)
|
|
|
|
if hasattr(result, 'tool_calls') and result.tool_calls:
|
|
for tool_call in result.tool_calls:
|
|
if tool_call.function and tool_call.function.name:
|
|
tool_name_sent = True
|
|
print(
|
|
f" Char {i}: Tool name: {tool_call.function.name}"
|
|
)
|
|
if tool_call.function and tool_call.function.arguments:
|
|
tool_args_sent = True
|
|
print(
|
|
f" Char {i}: Tool args: {repr(tool_call.function.arguments)}"
|
|
)
|
|
|
|
# Verify basic expectations
|
|
reconstructed_content = ''.join(content_parts)
|
|
print(f"Final reconstructed content: {repr(reconstructed_content)}")
|
|
|
|
assert tool_name_sent, "Tool name should be sent during streaming"
|
|
assert tool_args_sent, "Tool arguments should be sent during streaming"
|
|
assert "Let me check the weather." in reconstructed_content, "Initial content should be preserved"
|
|
|
|
print("✓ Simple character-by-character test passed")
|
|
|
|
|
|
def test_streaming_character_by_character_with_buffering(minimax_tool_parser):
|
|
"""Test character-by-character streaming with edge cases that trigger buffering."""
|
|
# Reset streaming state
|
|
reset_streaming_state(minimax_tool_parser)
|
|
|
|
# Text that includes potential buffering scenarios
|
|
buffering_text = 'Hello world<tool_calls>\n{"name": "test"}\n</tool_calls>done'
|
|
|
|
print("\n=== Buffering character-by-character test ===")
|
|
print(f"Text: {repr(buffering_text)}")
|
|
|
|
all_content = []
|
|
|
|
for i in range(1, len(buffering_text) + 1):
|
|
current_text = buffering_text[:i]
|
|
previous_text = buffering_text[:i - 1] if i > 1 else ""
|
|
delta_text = buffering_text[i - 1:i]
|
|
|
|
result = minimax_tool_parser.extract_tool_calls_streaming(
|
|
previous_text=previous_text,
|
|
current_text=current_text,
|
|
delta_text=delta_text,
|
|
previous_token_ids=[],
|
|
current_token_ids=[],
|
|
delta_token_ids=[],
|
|
request=None,
|
|
)
|
|
|
|
if result and hasattr(result, 'content') and result.content:
|
|
all_content.append(result.content)
|
|
print(f" Char {i} ({repr(delta_text)}): {repr(result.content)}")
|
|
|
|
final_content = ''.join(all_content)
|
|
print(f"Final content: {repr(final_content)}")
|
|
|
|
# The parser should handle the edge case where </tool_calls> appears before <tool_calls>
|
|
assert "Hello" in final_content, "Initial 'Hello' should be preserved"
|
|
assert "world" in final_content, "Content after false closing tag should be preserved"
|
|
assert "done" in final_content, "Final content should be preserved"
|
|
|
|
print("✓ Buffering character-by-character test passed")
|