init v0.23.0

Signed-off-by: Sun Ruoxi <sunruoxi@4paradigm.com>

tests/ut/patch/platform/test_deepseek_v4_thinking.py

@@ -0,0 +1,82 @@
+# SPDX-License-Identifier: Apache-2.0
+
+from vllm.entrypoints.openai.chat_completion.protocol import ChatCompletionRequest
+from vllm.tokenizers import deepseek_v4
+
+
+class FakeTokenizer:
+    vocab_size = 1
+
+    def get_added_vocab(self):
+        return {}
+
+    def encode(self, text, add_special_tokens=False, **kwargs):
+        return text
+
+
+def test_deepseek_v4_reasoning_effort_accepts_latest_values():
+    for reasoning_effort in ("none", "minimal", "low", "medium", "high", "xhigh", "max"):
+        request = ChatCompletionRequest(
+            model="deepseek-v4",
+            messages=[{"role": "user", "content": "hi"}],
+            reasoning_effort=reasoning_effort,
+        )
+        assert request.reasoning_effort == reasoning_effort
+
+
+def test_reasoning_effort_enables_thinking_unless_user_overrides():
+    request = ChatCompletionRequest(
+        model="deepseek-v4",
+        messages=[{"role": "user", "content": "hi"}],
+        reasoning_effort="high",
+    )
+    params = request.build_chat_params(None, "auto")
+    assert params.chat_template_kwargs["enable_thinking"] is True
+
+    request = ChatCompletionRequest(
+        model="deepseek-v4",
+        messages=[{"role": "user", "content": "hi"}],
+        reasoning_effort="none",
+    )
+    params = request.build_chat_params(None, "auto")
+    assert params.chat_template_kwargs["enable_thinking"] is False
+
+    request = ChatCompletionRequest(
+        model="deepseek-v4",
+        messages=[{"role": "user", "content": "hi"}],
+        reasoning_effort="high",
+        chat_template_kwargs={"enable_thinking": False},
+    )
+    params = request.build_chat_params(None, "auto")
+    assert params.chat_template_kwargs["enable_thinking"] is False
+
+
+def test_deepseek_v4_tokenizer_maps_latest_reasoning_effort_values(monkeypatch):
+    captured_kwargs = []
+
+    def fake_encode_messages(messages, **kwargs):
+        captured_kwargs.append(kwargs)
+        return "prompt"
+
+    monkeypatch.setattr(deepseek_v4, "encode_messages", fake_encode_messages)
+    tokenizer = deepseek_v4.get_deepseek_v4_tokenizer(FakeTokenizer())
+
+    cases = [
+        ("none", "chat", None),
+        ("minimal", "thinking", "high"),
+        ("low", "thinking", "high"),
+        ("medium", "thinking", "high"),
+        ("high", "thinking", "high"),
+        ("xhigh", "thinking", "max"),
+        ("max", "thinking", "max"),
+        ("unexpected", "thinking", "high"),
+    ]
+    for reasoning_effort, expected_mode, expected_effort in cases:
+        tokenizer.apply_chat_template(
+            [{"role": "user", "content": "hi"}],
+            tokenize=False,
+            enable_thinking=True,
+            reasoning_effort=reasoning_effort,
+        )
+        assert captured_kwargs[-1]["thinking_mode"] == expected_mode
+        assert captured_kwargs[-1]["reasoning_effort"] == expected_effort