diff --git a/tests/entrypoints/openai/test_chat.py b/tests/entrypoints/openai/test_chat.py
index 3af0032f..a2974760 100644
--- a/tests/entrypoints/openai/test_chat.py
+++ b/tests/entrypoints/openai/test_chat.py
@@ -851,14 +851,28 @@ async def test_response_format_json_object(client: openai.AsyncOpenAI):
 
 @pytest.mark.asyncio
 async def test_response_format_json_schema(client: openai.AsyncOpenAI):
+    prompt = 'what is 1+1? The format is "result": 2'
+    # Check that this prompt cannot lead to a valid JSON without json_schema
     for _ in range(2):
         resp = await client.chat.completions.create(
             model=MODEL_NAME,
             messages=[{
-                "role":
-                "user",
-                "content": ('what is 1+1? please respond with a JSON object, '
-                            'the format is {"result": 2}')
+                "role": "user",
+                "content": prompt
+            }],
+        )
+        content = resp.choices[0].message.content
+        assert content is not None
+        with pytest.raises((json.JSONDecodeError, AssertionError)):
+            loaded = json.loads(content)
+            assert loaded == {"result": 2}, loaded
+
+    for _ in range(2):
+        resp = await client.chat.completions.create(
+            model=MODEL_NAME,
+            messages=[{
+                "role": "user",
+                "content": prompt
             }],
             response_format={
                 "type": "json_schema",
diff --git a/vllm/entrypoints/openai/protocol.py b/vllm/entrypoints/openai/protocol.py
index 6f1135f8..06114339 100644
--- a/vllm/entrypoints/openai/protocol.py
+++ b/vllm/entrypoints/openai/protocol.py
@@ -314,9 +314,15 @@ class ChatCompletionRequest(OpenAIBaseModel):
             prompt_logprobs = self.top_logprobs
 
         guided_json_object = None
-        if (self.response_format is not None
-                and self.response_format.type == "json_object"):
-            guided_json_object = True
+        if self.response_format is not None:
+            if self.response_format.type == "json_object":
+                guided_json_object = True
+            elif self.response_format.type == "json_schema":
+                json_schema = self.response_format.json_schema
+                assert json_schema is not None
+                self.guided_json = json_schema.json_schema
+                if self.guided_decoding_backend is None:
+                    self.guided_decoding_backend = "lm-format-enforcer"
 
         guided_decoding = GuidedDecodingParams.from_optional(
             json=self._get_guided_json_from_tool() or self.guided_json,
@@ -537,8 +543,8 @@ class CompletionRequest(OpenAIBaseModel):
         default=None,
         description=
         ("Similar to chat completion, this parameter specifies the format of "
-         "output. Only {'type': 'json_object'} or {'type': 'text' } is "
-         "supported."),
+         "output. Only {'type': 'json_object'}, {'type': 'json_schema'} or "
+         "{'type': 'text' } is supported."),
     )
     guided_json: Optional[Union[str, dict, BaseModel]] = Field(
         default=None,