Merge branch 'main' into dev/vllm-align

Drop the old-base wheel reinstall and dependency repair block. Update source installation and configuration references to vLLM 0.29 while retaining explicitly matched 0.28 prebuilt Omni examples until its next release.

Validation: official image and CUDA/ROCm release artifacts checked; 6 documentation tests passed; diff whitespace checks passed. Markdown lint reports existing snippet/anchor issues. Container build not run: no builder available.
Signed-off-by: tzhouam <tzhouam@connect.ust.hk>

.buildkite/cuda/test-merge.yml

@@ -155,7 +155,6 @@ steps:
         source_file_dependencies:
           - tests/e2e/offline_inference/test_minicpmo_4_5.py
           - tests/e2e/online_serving/test_minicpmo_4_5.py
-          - vllm_omni/transformers_utils/chat_templates/minicpmo45_native.jinja
           - vllm_omni/model_executor/models/minicpmo_4_5/
           - vllm_omni/model_executor/models/step_audio2/
           - vllm_omni/model_executor/models/cosyvoice3/code2wav_core/

.buildkite/cuda/test-ready.yml

@@ -188,7 +188,6 @@ steps:
       - label: "Omni · MiniCPM-o 4.5 Online Test"
         source_file_dependencies:
           - tests/e2e/online_serving/test_minicpmo_4_5.py
-          - vllm_omni/transformers_utils/chat_templates/minicpmo45_native.jinja
           - vllm_omni/model_executor/models/minicpmo_4_5/
           - vllm_omni/model_executor/models/step_audio2/
           - vllm_omni/model_executor/models/cosyvoice3/code2wav_core/

pyproject.toml

@@ -161,7 +161,7 @@ where = ["."]
 include = ["vllm_omni*"]
 
 [tool.setuptools.package-data]
-"vllm_omni" = ["_version.py", "py.typed", "transformers_utils/chat_templates/*.jinja"]
+"vllm_omni" = ["_version.py", "py.typed"]
 
 [tool.setuptools_scm]
 # no extra settings needed, presence enables setuptools-scm

recipes/OpenBMB/MiniCPM-o-4_5.md

@@ -28,13 +28,13 @@ also provided.
 
 - Default deploy configs (auto-loaded by HF `model_type=minicpmo` +
   `hf_config.version="4.5"`):
-    - Default single-GPU compatibility layout (auto-loaded):
+  - Default single-GPU compatibility layout (auto-loaded):
     [`vllm_omni/deploy/minicpmo_4_5.yaml`](../../vllm_omni/deploy/minicpmo_4_5.yaml)
-    - Recommended 2-GPU continuous-batching layout:
+  - Recommended 2-GPU continuous-batching layout:
     [`vllm_omni/deploy/minicpmo_4_5_2gpu.yaml`](../../vllm_omni/deploy/minicpmo_4_5_2gpu.yaml),
-    - 3-GPU layout:
+  - 3-GPU layout:
     [`vllm_omni/deploy/minicpmo_4_5_3gpu.yaml`](../../vllm_omni/deploy/minicpmo_4_5_3gpu.yaml)
-    - 8x RTX 4090 layout:
+  - 8x RTX 4090 layout:
     [`vllm_omni/deploy/minicpmo_4_5_8x4090.yaml`](../../vllm_omni/deploy/minicpmo_4_5_8x4090.yaml)
 - Online example + Gradio demo:
   [`examples/online_serving/minicpmo/`](../../examples/online_serving/minicpmo/)
@@ -126,20 +126,9 @@ video. Use the two-GPU profile for production throughput.
 ```bash
 vllm serve openbmb/MiniCPM-o-4_5 --omni \
     --trust-remote-code \
-    --chat-template vllm_omni/transformers_utils/chat_templates/minicpmo45_native.jinja \
-    --chat-template-content-format openai \
     --host 0.0.0.0 --port 8099
 ```
 
-Run these commands from the repository root. The bundled chat template
-matches the Hugging Face `chat(omni_mode=True)` content layout: media and text
-parts are concatenated without adding separators, while whitespace explicitly
-included in a text part is preserved. This matters for speech generation because
-an inserted newline changes the Thinker condition passed to Talker. For image
-questions, place the image before the question, as in the native image-chat
-layout. Continue to request `use_tts_template: true` and
-`enable_thinking: false` for spoken answers.
-
 The deploy config is auto-loaded by the model registry — no
 `--deploy-config` flag needed for this default single-GPU layout.
 
@@ -282,8 +271,6 @@ uses GPU 5. GPUs 6–7 are left free.
 vllm serve openbmb/MiniCPM-o-4_5 --omni \
     --deploy-config vllm_omni/deploy/minicpmo_4_5_8x4090.yaml \
     --trust-remote-code \
-    --chat-template vllm_omni/transformers_utils/chat_templates/minicpmo45_native.jinja \
-    --chat-template-content-format openai \
     --host 0.0.0.0 --port 8099
 ```
 

tests/diffusion/test_multiproc_engine_concurrency.py

@@ -4,10 +4,8 @@
 import asyncio
 import multiprocessing as mp
 import queue
-import signal
 import threading
 import time
-import weakref
 from types import SimpleNamespace
 from unittest.mock import MagicMock, Mock
 
@@ -1332,7 +1330,6 @@ class TestExecutorShutdownCleaner:
         class FakeProcess:
             def __init__(self, name):
                 self.name = name
-                self.pid = 123
                 self.alive = True
                 self.terminated = False
                 self.join_timeouts = []
@@ -1361,132 +1358,6 @@ class TestExecutorShutdownCleaner:
         assert first.terminated and second.terminated
         assert not first.is_alive() and not second.is_alive()
 
-    @pytest.mark.parametrize("cooperative", [False, True])
-    def test_real_workers_exit_and_are_reaped(self, monkeypatch, cooperative):
-        from vllm_omni.diffusion.executor import multiproc_executor as executor_module
-
-        ctx = mp.get_context("fork")
-        ready, stop = ctx.Event(), ctx.Event()
-
-        def run_worker():
-            signal.signal(signal.SIGTERM, signal.SIG_IGN)
-            ready.set()
-            stop.wait()
-
-        dead = ctx.Process(target=lambda: None)
-        worker = ctx.Process(target=run_worker)
-        monkeypatch.setattr(executor_module, "_WORKER_SHUTDOWN_GRACE_S", 0.2)
-        monkeypatch.setattr(executor_module, "_WORKER_TERMINATE_GRACE_S", 0.1)
-        monkeypatch.setattr(executor_module, "_WORKER_KILL_GRACE_S", 5.0, raising=False)
-        dead.start()
-        worker.start()
-        try:
-            dead.join(5)
-            assert not dead.is_alive()
-            assert ready.wait(5), "worker did not install its signal handler"
-            mq = Mock()
-            if cooperative:
-                mq.enqueue.side_effect = lambda *args, **kwargs: stop.set()
-            else:
-                mq.enqueue.side_effect = OSError("shutdown queue unavailable")
-            cleaner = executor_module._ExecutorShutdownCleaner(mq, 2, [dead, worker])
-
-            cleaner()
-
-            assert not worker.is_alive()
-            assert worker.exitcode == (0 if cooperative else -signal.SIGKILL)
-            assert cleaner.processes == []
-            assert cleaner.broadcast_mq is None
-            cleaner()
-        finally:
-            for proc in (dead, worker):
-                if proc.is_alive():
-                    proc.kill()
-                proc.join(5)
-                proc.close()
-
-    @pytest.mark.parametrize("failed_action", ["terminate", "kill"])
-    def test_kill_phase_shares_deadline_and_continues_after_os_errors(self, monkeypatch, failed_action):
-        from vllm_omni.diffusion.executor import multiproc_executor as executor_module
-
-        first, second = Mock(pid=101), Mock(pid=102)
-        first.name, second.name = "first", "second"
-        for proc in (first, second):
-            proc.is_alive.side_effect = [True, True, True, False]
-        getattr(first, failed_action).side_effect = OSError("signal failed")
-        first.join.side_effect = [OSError("join failed"), None, None]
-        monotonic = Mock(side_effect=[100, 100, 110, 120, 120, 124, 130, 130, 134])
-        monkeypatch.setattr(executor_module, "time", SimpleNamespace(monotonic=monotonic))
-        cleaner = executor_module._ExecutorShutdownCleaner(processes=[first, second])
-
-        cleaner()
-
-        first.kill.assert_called_once()
-        second.kill.assert_called_once()
-        assert [call.args[0] for call in first.join.call_args_list] == [15, 5, 5]
-        assert [call.args[0] for call in second.join.call_args_list] == [5, 1, 1]
-        assert cleaner.processes == []
-
-    def test_executor_retains_survivor_for_explicit_shutdown_retry(self, monkeypatch):
-        from vllm_omni.diffusion.executor import multiproc_executor as executor_module
-
-        survivor = Mock(pid=123)
-        survivor.name = "surviving-worker"
-        survivor.is_alive.return_value = True
-        cleaner = executor_module._ExecutorShutdownCleaner(processes=[survivor])
-        executor, _, _ = _make_executor()
-        executor._shutdown_cleaner = cleaner
-        executor._processes = [survivor]
-        executor._finalizer = weakref.finalize(executor, cleaner)
-        executor._pump_stop = threading.Event()
-        executor._futures_lock = threading.RLock()
-        executor._rpc_futures = {}
-        executor._output_futures = {}
-        executor._batch_split_map = {}
-        log_error = Mock()
-        monkeypatch.setattr(executor_module.logger, "error", log_error)
-
-        executor.shutdown()
-
-        assert not executor._finalizer.alive
-        assert executor._shutdown_cleaner is cleaner
-        assert executor._processes == [survivor]
-        log_error.assert_called_once()
-        assert log_error.call_args.args[1] == [("surviving-worker", 123)]
-        survivor.is_alive.return_value = False
-
-        executor.shutdown()
-        executor.shutdown()
-
-        assert executor._shutdown_cleaner is None
-        assert executor._processes == []
-
-    def test_concurrent_cleanup_does_not_repeat_process_operations(self):
-        from vllm_omni.diffusion.executor import multiproc_executor as executor_module
-
-        joining, release = threading.Event(), threading.Event()
-        proc = Mock(pid=123)
-        proc.is_alive.return_value = True
-
-        def join(timeout):
-            joining.set()
-            assert release.wait(5)
-            proc.is_alive.return_value = False
-
-        proc.join.side_effect = join
-        cleaner = executor_module._ExecutorShutdownCleaner(processes=[proc])
-        thread = threading.Thread(target=cleaner)
-        thread.start()
-        try:
-            assert joining.wait(5)
-            cleaner()
-            proc.join.assert_called_once()
-        finally:
-            release.set()
-            thread.join(5)
-        assert not thread.is_alive()
-        assert cleaner.processes == []
-
 
 # ───────── monitor thread & death sentinel integration tests ─────────
 
@@ -1535,7 +1406,7 @@ class TestMultiprocExecutorWorkerMonitor:
         executor._result_mq = None
         executor._shutdown_cleaner = None
         # Use a no-op so shutdown() doesn't crash on None resources.
-        executor._finalizer = weakref.finalize(executor, lambda: None)
+        executor._finalizer = lambda: None
         # ------------------------------------------------------------------
         # Attributes added by remove_bubble_v2 (async D2H); shutdown() iterates
         # over them, so they need to exist even when constructed via __new__.
@@ -1570,7 +1441,7 @@ class TestMultiprocExecutorWorkerMonitor:
         executor._broadcast_mq = None
         executor._result_mq = None
         executor._shutdown_cleaner = None
-        executor._finalizer = weakref.finalize(executor, lambda: None)
+        executor._finalizer = lambda: None
 
         proc = _make_short_lived_process()
         executor._processes = [proc]

tests/e2e/online_serving/test_minicpmo_4_5.py

@@ -24,9 +24,6 @@ from tests.helpers.stage_config import get_deploy_config_path, modify_stage_conf
 os.environ["VLLM_WORKER_MULTIPROC_METHOD"] = "spawn"
 
 _MODEL = "openbmb/MiniCPM-o-4_5"
-_NATIVE_CHAT_TEMPLATE = (
-    Path(__file__).resolve().parents[3] / "vllm_omni/transformers_utils/chat_templates/minicpmo45_native.jinja"
-)
 _CI_DEPLOY = modify_stage_config(
     get_deploy_config_path("minicpmo_4_5.yaml"),
     updates={
@@ -66,14 +63,7 @@ test_params = [
             model=_MODEL,
             stage_config_path=_CI_DEPLOY,
             use_stage_cli=False,
-            server_args=[
+            server_args=["--trust-remote-code", "--async-chunk"],
-                "--trust-remote-code",
-                "--async-chunk",
-                "--chat-template",
-                str(_NATIVE_CHAT_TEMPLATE),
-                "--chat-template-content-format",
-                "openai",
-            ],
             env_dict={
                 "VLLM_CONFIGURE_LOGGING": "1",
                 "VLLM_LOGGING_CONFIG_PATH": str(_PROMPT_LOGGING_CONFIG_PATH),
@@ -275,18 +265,11 @@ def test_image_to_text_audio_001(omni_server, openai_client) -> None:
     Input Setting: stream=True
     """
     image_data_url = f"data:image/jpeg;base64,{generate_synthetic_image(24, 24)['base64']}"
-    # Match the native image-chat layout explicitly; do not rely on the
+    messages = dummy_messages_from_mix_data(
-    # renderer moving media placeholders ahead of text.
+        system_prompt=get_system_prompt(),
-    messages = [
+        image_data_url=image_data_url,
-        get_system_prompt(),
+        content_text=get_prompt("text_image"),
-        {
+    )
-            "role": "user",
-            "content": [
-                {"type": "image_url", "image_url": {"url": image_data_url}},
-                {"type": "text", "text": get_prompt("text_image")},
-            ],
-        },
-    ]
 
     request_config = {
         "model": omni_server.model,

tests/model_executor/models/minicpmo_4_5/test_chat_template.py

@@ -1,45 +0,0 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
-"""MiniCPM structured-content rendering must preserve native part boundaries."""
-
-from pathlib import Path
-
-import pytest
-from jinja2 import TemplateError
-from transformers.utils.chat_template_utils import _compile_jinja_template
-
-pytestmark = [pytest.mark.core_model, pytest.mark.cpu]
-
-TEMPLATE = Path(__file__).resolve().parents[4] / "vllm_omni/transformers_utils/chat_templates/minicpmo45_native.jinja"
-
-
-@pytest.mark.parametrize(
-    "parts,expected",
-    [
-        ([{"type": "image"}, {"type": "text", "text": "Question?"}], "(<image>./</image>)Question?"),
-        ([{"type": "text", "text": "Question?"}, {"type": "image"}], "Question?(<image>./</image>)"),
-        ([{"type": "image"}, {"type": "text", "text": "\n\nQuestion?"}], "(<image>./</image>)\n\nQuestion?"),
-        ([{"type": "text", "text": " A "}, {"type": "text", "text": " B "}], " A  B "),
-        ([{"type": "audio"}, {"type": "text", "text": "Transcribe."}], "(<audio>./</audio>)Transcribe."),
-        ([{"type": "video"}, {"type": "image"}], "(<video>./</video>)(<image>./</image>)"),
-        ("\nKeep this whitespace.\n", "\nKeep this whitespace.\n"),
-    ],
-)
-def test_native_content_concatenation(parts, expected):
-    rendered = _compile_jinja_template(TEMPLATE.read_text()).render(
-        messages=[{"role": "user", "content": parts}],
-        add_generation_prompt=True,
-        enable_thinking=False,
-        use_tts_template=True,
-    )
-    assert rendered == (
-        f"<|im_start|>user\n{expected}<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\n<|tts_bos|>"
-    )
-
-
-def test_unsupported_part_is_not_silently_discarded():
-    with pytest.raises(TemplateError, match="Unsupported MiniCPM-o content part"):
-        _compile_jinja_template(TEMPLATE.read_text()).render(
-            messages=[{"role": "user", "content": [{"type": "unknown"}]}],
-            add_generation_prompt=True,
-        )

vllm_omni/diffusion/executor/multiproc_executor.py

@@ -1,6 +1,3 @@
-# SPDX-License-Identifier: Apache-2.0
-# SPDX-FileCopyrightText: Copyright contributors to the vLLM-Omni project
-
 from __future__ import annotations
 
 import concurrent.futures
@@ -13,7 +10,7 @@ import threading
 import time
 import weakref
 from collections.abc import Callable
-from dataclasses import dataclass, field
+from dataclasses import dataclass
 from multiprocessing.synchronize import Event
 from typing import TYPE_CHECKING, Any, cast
 
@@ -45,7 +42,6 @@ _DEQUEUE_TIMEOUT_S = 5.0
 _DLO_DP_WAVE_TIMEOUT_S = float(os.environ.get("VLLM_OMNI_DLO_DP_WAVE_TIMEOUT", 600.0))
 _WORKER_SHUTDOWN_GRACE_S = 15.0
 _WORKER_TERMINATE_GRACE_S = 5.0
-_WORKER_KILL_GRACE_S = 5.0
 _RESULT_PUMP_JOIN_TIMEOUT_S = 2.0
 
 
@@ -84,61 +80,33 @@ class _ExecutorShutdownCleaner:
     broadcast_mq: MessageQueue | None = None
     num_workers: int = 0
     processes: list[mp.Process] | None = None
-    _lock: threading.Lock = field(default_factory=threading.Lock, init=False, repr=False)
 
     def __call__(self) -> None:
         """Clean up background resources."""
-        # The worker monitor and an explicit shutdown may race. A retry must
-        # not signal/join the same Process objects while cleanup is in flight.
-        if not self._lock.acquire(blocking=False):
-            return
-        try:
-            self._cleanup()
-        finally:
-            self._lock.release()
-
-    def _cleanup(self) -> None:
         if self.broadcast_mq is not None:
             try:
                 for _ in range(self.num_workers):
                     self.broadcast_mq.enqueue(SHUTDOWN_MESSAGE, timeout=1.0)
 
+                self.broadcast_mq = None
             except Exception as exc:
                 logger.warning("Failed to send shutdown signal: %s", exc)
-            finally:
-                self.broadcast_mq = None
 
         if self.processes:
+            join_deadline = time.monotonic() + _WORKER_SHUTDOWN_GRACE_S
+            for proc in self.processes:
+                if not proc.is_alive():
+                    continue
+                proc.join(max(0.0, join_deadline - time.monotonic()))
+
             alive = [proc for proc in self.processes if proc.is_alive()]
-            for action, grace in (
+            for proc in alive:
-                (None, _WORKER_SHUTDOWN_GRACE_S),
+                logger.warning("Terminating diffusion worker %s after timeout", proc.name)
-                ("terminate", _WORKER_TERMINATE_GRACE_S),
+                proc.terminate()
-                ("kill", _WORKER_KILL_GRACE_S),
-            ):
-                if not alive:
-                    break
-                if action is not None:
-                    for proc in alive:
-                        try:
-                            logger.warning("Calling %s on diffusion worker %s (pid=%s)", action, proc.name, proc.pid)
-                            getattr(proc, action)()
-                        except OSError:
-                            logger.exception("Failed to %s diffusion worker %s (pid=%s)", action, proc.name, proc.pid)
 
-                deadline = time.monotonic() + grace
+            terminate_deadline = time.monotonic() + _WORKER_TERMINATE_GRACE_S
-                for proc in alive:
+            for proc in alive:
-                    try:
+                proc.join(max(0.0, terminate_deadline - time.monotonic()))
-                        proc.join(max(0.0, deadline - time.monotonic()))
-                    except OSError:
-                        logger.exception("Failed to join diffusion worker %s (pid=%s)", proc.name, proc.pid)
-                alive = [proc for proc in alive if proc.is_alive()]
-
-            self.processes = alive
-            if alive:
-                logger.error(
-                    "Diffusion worker cleanup incomplete after kill: %s; retaining processes for shutdown retry",
-                    [(proc.name, proc.pid) for proc in alive],
-                )
 
 
 class MultiprocDiffusionExecutor(DiffusionExecutor):
@@ -1038,12 +1006,8 @@ class MultiprocDiffusionExecutor(DiffusionExecutor):
     def shutdown(self) -> None:
         self._closed = True
         self._pump_stop.set()
-        cleaner = self._shutdown_cleaner
         try:
-            if self._finalizer.alive:
+            self._finalizer()
-                self._finalizer()
-            elif cleaner is not None:
-                cleaner()
         finally:
             pump_threads = getattr(self, "_result_pump_threads", [])
             for thread in pump_threads:
@@ -1067,6 +1031,5 @@ class MultiprocDiffusionExecutor(DiffusionExecutor):
                 self._rpc_futures.clear()
                 self._output_futures.clear()
                 self._batch_split_map.clear()
-            self._processes = (cleaner.processes or []) if cleaner is not None else []
+            self._shutdown_cleaner = None
-            if not self._processes:
+            self._processes = []
-                self._shutdown_cleaner = None

vllm_omni/transformers_utils/chat_templates/minicpmo45_native.jinja

@@ -1,116 +0,0 @@
-{# SPDX-License-Identifier: Apache-2.0
-   Adapted from OpenBMB/MiniCPM-o-4_5 tokenizer_config.json.
-   Match chat(omni_mode=True): concatenate structured content parts without
-   injecting separators, preserving whitespace explicitly supplied as text.
-#}
-{%- set normalized = namespace(messages=[]) -%}
-{%- for message in messages -%}
-    {%- if message.content is string or message.content is none -%}
-        {%- set normalized.messages = normalized.messages + [message] -%}
-    {%- else -%}
-        {%- set content = namespace(text='') -%}
-        {%- for part in message.content -%}
-            {%- if part.type == 'text' -%}
-                {%- set content.text = content.text + part.text -%}
-            {%- elif part.type == 'image' -%}
-                {%- set content.text = content.text + '(<image>./</image>)' -%}
-            {%- elif part.type == 'audio' -%}
-                {%- set content.text = content.text + '(<audio>./</audio>)' -%}
-            {%- elif part.type == 'video' -%}
-                {%- set content.text = content.text + '(<video>./</video>)' -%}
-            {%- else -%}
-                {{- raise_exception('Unsupported MiniCPM-o content part: ' + part.type) -}}
-            {%- endif -%}
-        {%- endfor -%}
-        {%- set normalized.messages = normalized.messages + [dict(message, content=content.text)] -%}
-    {%- endif -%}
-{%- endfor -%}
-{%- set messages = normalized.messages -%}
-{%- if tools %}
-    {{- '<|im_start|>system\n' }}
-    {%- if messages[0].role == 'system' %}
-        {{- messages[0].content + '\n\n' }}
-    {%- endif %}
-    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
-    {%- for tool in tools %}
-        {{- "\n" }}
-        {{- tool | tojson }}
-    {%- endfor %}
-    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
-{%- else %}
-    {%- if messages[0].role == 'system' %}
-        {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
-    {%- endif %}
-{%- endif %}
-{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
-{%- for message in messages[::-1] %}
-    {%- set index = (messages|length - 1) - loop.index0 %}
-    {%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
-        {%- set ns.multi_step_tool = false %}
-        {%- set ns.last_query_index = index %}
-    {%- endif %}
-{%- endfor %}
-{%- for message in messages %}
-    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
-        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
-    {%- elif message.role == "assistant" %}
-        {%- set content = message.content %}
-        {%- set reasoning_content = '' %}
-        {%- if message.reasoning_content is defined and message.reasoning_content is not none %}
-            {%- set reasoning_content = message.reasoning_content %}
-        {%- else %}
-            {%- if '</think>' in message.content %}
-                {%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
-                {%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
-            {%- endif %}
-        {%- endif %}
-        {%- if loop.index0 > ns.last_query_index %}
-            {%- if loop.last or (not loop.last and reasoning_content) %}
-                {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
-            {%- else %}
-                {{- '<|im_start|>' + message.role + '\n' + content }}
-            {%- endif %}
-        {%- else %}
-            {{- '<|im_start|>' + message.role + '\n' + content }}
-        {%- endif %}
-        {%- if message.tool_calls %}
-            {%- for tool_call in message.tool_calls %}
-                {%- if (loop.first and content) or (not loop.first) %}
-                    {{- '\n' }}
-                {%- endif %}
-                {%- if tool_call.function %}
-                    {%- set tool_call = tool_call.function %}
-                {%- endif %}
-                {{- '<tool_call>\n{"name": "' }}
-                {{- tool_call.name }}
-                {{- '", "arguments": ' }}
-                {%- if tool_call.arguments is string %}
-                    {{- tool_call.arguments }}
-                {%- else %}
-                    {{- tool_call.arguments | tojson }}
-                {%- endif %}
-                {{- '}\n</tool_call>' }}
-            {%- endfor %}
-        {%- endif %}
-        {{- '<|im_end|>\n' }}
-    {%- elif message.role == "tool" %}
-        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
-            {{- '<|im_start|>user' }}
-        {%- endif %}
-        {{- '\n<tool_response>\n' }}
-        {{- message.content }}
-        {{- '\n</tool_response>' }}
-        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
-            {{- '<|im_end|>\n' }}
-        {%- endif %}
-    {%- endif %}
-{%- endfor %}
-{%- if add_generation_prompt %}
-    {{- '<|im_start|>assistant\n' }}
-    {%- if enable_thinking is defined and enable_thinking is false %}
-        {{- '<think>\n\n</think>\n\n' }}
-    {%- endif %}
-    {%- if use_tts_template is defined and use_tts_template is true %}
-        {{- '<|tts_bos|>' }}
-    {%- endif %}
-{%- endif -%}