[MODEL] Fix handling of multiple channels for gpt-oss with speculative decoding (#26291)
Signed-off-by: Aleksandr Samarin <astrlrd@nebius.com> Signed-off-by: southfreebird <yvorott@gmail.com> Co-authored-by: southfreebird <yvorott@gmail.com>
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@@ -10,6 +10,7 @@ from unittest.mock import patch
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import pytest
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from vllm.entrypoints.openai.chat_completion.stream_harmony import (
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TokenState,
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extract_harmony_streaming_delta,
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)
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@@ -42,12 +43,14 @@ class TestExtractHarmonyStreamingDelta:
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def test_final_channel_returns_content_delta(self, delta_text, expected_content):
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"""Test that final channel returns a DeltaMessage with content."""
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parser = MockStreamableParser()
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# Updated to use TokenState list
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token_states = [TokenState(channel="final", recipient=None, text=delta_text)]
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delta_message, tools_streamed = extract_harmony_streaming_delta(
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harmony_parser=parser,
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cur_channel="final",
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cur_recipient=None,
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token_states=token_states,
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prev_recipient=None,
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delta_text=delta_text,
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include_reasoning=False,
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)
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@@ -65,18 +68,19 @@ class TestExtractHarmonyStreamingDelta:
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def test_analysis_channel_reasoning(self, include_reasoning, expected_has_message):
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"""Test analysis channel respects include_reasoning flag."""
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parser = MockStreamableParser()
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text = "Let me think..."
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token_states = [TokenState(channel="analysis", recipient=None, text=text)]
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delta_message, tools_streamed = extract_harmony_streaming_delta(
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harmony_parser=parser,
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cur_channel="analysis",
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cur_recipient=None,
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token_states=token_states,
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prev_recipient=None,
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delta_text="Let me think...",
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include_reasoning=include_reasoning,
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)
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if expected_has_message:
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assert delta_message is not None
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assert delta_message.reasoning == "Let me think..."
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assert delta_message.reasoning == text
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else:
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assert delta_message is None
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assert tools_streamed is False
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@@ -88,12 +92,14 @@ class TestExtractHarmonyStreamingDelta:
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mock_make_tool_call_id.return_value = "call_test123"
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parser = MockStreamableParser()
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token_states = [
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TokenState(channel=channel, recipient="functions.get_weather", text="")
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]
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delta_message, tools_streamed = extract_harmony_streaming_delta(
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harmony_parser=parser,
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cur_channel=channel,
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cur_recipient="functions.get_weather",
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token_states=token_states,
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prev_recipient=None,
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delta_text="",
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include_reasoning=False,
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)
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@@ -111,20 +117,25 @@ class TestExtractHarmonyStreamingDelta:
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def test_tool_call_argument_streaming(self, channel):
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"""Test streaming tool call arguments (same recipient)."""
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parser = MockStreamableParser()
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args_text = '{"location": "Paris"}'
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token_states = [
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TokenState(
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channel=channel, recipient="functions.get_weather", text=args_text
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)
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]
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delta_message, tools_streamed = extract_harmony_streaming_delta(
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harmony_parser=parser,
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cur_channel=channel,
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cur_recipient="functions.get_weather",
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token_states=token_states,
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prev_recipient="functions.get_weather",
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delta_text='{"location": "Paris"}',
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include_reasoning=False,
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)
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assert delta_message is not None
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tool_call = delta_message.tool_calls[0]
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assert tool_call.id is None
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assert tool_call.function.arguments == '{"location": "Paris"}'
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assert tool_call.function.arguments == args_text
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assert tool_call.index == 0
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assert tools_streamed is True
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@@ -133,12 +144,14 @@ class TestExtractHarmonyStreamingDelta:
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"""Test empty delta_text with same recipient returns None."""
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parser = MockStreamableParser()
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token_states = [
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TokenState(channel=channel, recipient="functions.get_weather", text="")
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]
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delta_message, tools_streamed = extract_harmony_streaming_delta(
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harmony_parser=parser,
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cur_channel=channel,
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cur_recipient="functions.get_weather",
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token_states=token_states,
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prev_recipient="functions.get_weather",
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delta_text="",
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include_reasoning=False,
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)
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@@ -154,12 +167,14 @@ class TestExtractHarmonyStreamingDelta:
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]
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parser = MockStreamableParser(messages=messages)
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token_states = [
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TokenState(channel="commentary", recipient="functions.tool2", text="args")
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]
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delta_message, _ = extract_harmony_streaming_delta(
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harmony_parser=parser,
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cur_channel="commentary",
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cur_recipient="functions.tool2",
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token_states=token_states,
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prev_recipient="functions.tool2",
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delta_text="args",
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include_reasoning=False,
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)
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@@ -173,15 +188,18 @@ class TestExtractHarmonyStreamingDelta:
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],
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)
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def test_returns_tool_call_preambles(self, channel, recipient):
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"""Test that invalid channel/recipient combinations return None."""
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"""Test that invalid tool recipient on commentary is treated as content."""
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parser = MockStreamableParser()
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delta_text = "some text"
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token_states = [
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TokenState(channel=channel, recipient=recipient, text=delta_text)
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]
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delta_message, tools_streamed = extract_harmony_streaming_delta(
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harmony_parser=parser,
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cur_channel=channel,
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cur_recipient=recipient,
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token_states=token_states,
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prev_recipient=None,
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delta_text=delta_text,
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include_reasoning=True,
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)
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@@ -199,14 +217,140 @@ class TestExtractHarmonyStreamingDelta:
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"""Test that invalid channel/recipient combinations return None."""
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parser = MockStreamableParser()
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token_states = [
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TokenState(channel=channel, recipient=recipient, text="some text")
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]
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delta_message, tools_streamed = extract_harmony_streaming_delta(
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harmony_parser=parser,
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cur_channel=channel,
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cur_recipient=recipient,
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token_states=token_states,
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prev_recipient=None,
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delta_text="some text",
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include_reasoning=True,
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)
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assert delta_message is None
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assert tools_streamed is False
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def test_consecutive_token_grouping(self):
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"""
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Test that consecutive tokens with the same channel/recipient
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are merged into a single processing group.
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"""
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parser = MockStreamableParser()
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token_states = [
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TokenState("final", None, "H"),
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TokenState("final", None, "el"),
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TokenState("final", None, "lo"),
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TokenState("final", None, ","),
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TokenState("final", None, " World"),
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]
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delta_message, _ = extract_harmony_streaming_delta(
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harmony_parser=parser,
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token_states=token_states,
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prev_recipient=None,
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include_reasoning=False,
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)
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assert delta_message is not None
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assert delta_message.content == "Hello, World"
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@patch("vllm.entrypoints.openai.chat_completion.stream_harmony.make_tool_call_id")
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def test_complex_batch_permutation(self, mock_make_id):
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"""
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Test a complex permutation: Reasoning -> Tool Call -> Content.
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This verifies that multiple distinct actions in one batch
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are all captured in the single DeltaMessage.
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"""
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mock_make_id.return_value = "call_batch_test"
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parser = MockStreamableParser()
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token_states = [
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# 1. Reasoning
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TokenState("analysis", None, "Reasoning about query..."),
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# 2. Tool Calling
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TokenState("commentary", "functions.search", '{"query":'),
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TokenState("commentary", "functions.search", ' "vllm"}'),
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# 3. Final Content
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TokenState("final", None, "."),
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]
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delta_message, tools_streamed = extract_harmony_streaming_delta(
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harmony_parser=parser,
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token_states=token_states,
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prev_recipient=None,
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include_reasoning=True,
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)
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assert delta_message is not None
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assert delta_message.reasoning == "Reasoning about query..."
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# We expect 2 objects for 1 logical tool call:
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# 1. The definition (id, name, type)
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# 2. The arguments payload
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assert len(delta_message.tool_calls) == 2
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header = delta_message.tool_calls[0]
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payload = delta_message.tool_calls[1]
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assert header.function.name == "search"
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assert header.id == "call_batch_test"
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assert header.index == 0
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assert payload.index == 0
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assert payload.function.arguments == '{"query": "vllm"}'
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assert delta_message.content == "."
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assert tools_streamed is True
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@patch("vllm.entrypoints.openai.chat_completion.stream_harmony.make_tool_call_id")
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def test_tool_call_index_consistency_with_ongoing_call(self, mock_make_id):
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"""
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Test that an ongoing tool call continuation and subsequent new calls
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maintain correct indexing when interleaved with content.
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"""
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mock_make_id.side_effect = ["id_b", "id_c"]
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messages = [
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MockMessage(channel="commentary", recipient="functions.previous_tool")
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]
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parser = MockStreamableParser(messages=messages)
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token_states = [
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TokenState("commentary", "functions.tool_a", '{"key_a": "val_a"}'),
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TokenState("final", None, "Thinking..."),
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TokenState("commentary", "functions.tool_b", '{"key_b": "val_b"}'),
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TokenState("final", None, " Thinking again..."),
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TokenState("commentary", "functions.tool_c", '{"key_c": "val_c"}'),
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]
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delta_message, _ = extract_harmony_streaming_delta(
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harmony_parser=parser,
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token_states=token_states,
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prev_recipient="functions.tool_a",
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include_reasoning=False,
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)
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assert delta_message is not None
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tool_a_deltas = [t for t in delta_message.tool_calls if t.index == 1]
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assert len(tool_a_deltas) > 0
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assert tool_a_deltas[0].id is None
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assert tool_a_deltas[0].function.arguments == '{"key_a": "val_a"}'
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tool_b_header = next(t for t in delta_message.tool_calls if t.id == "id_b")
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assert tool_b_header.index == 2
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tool_b_args = next(
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t for t in delta_message.tool_calls if t.index == 2 and t.id is None
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)
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assert tool_b_args.function.arguments == '{"key_b": "val_b"}'
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tool_c_start = next(t for t in delta_message.tool_calls if t.id == "id_c")
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assert tool_c_start.index == 3
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tool_c_args = next(
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t for t in delta_message.tool_calls if t.index == 3 and t.id is None
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)
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assert tool_c_args.function.arguments == '{"key_c": "val_c"}'
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assert delta_message.content == "Thinking... Thinking again..."
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