[V0 deprecation] Removal V0 structured outputs

tests/models/language/generation/test_mistral.py

@@ -3,13 +3,11 @@
 import copy
 import json
 
-import jsonschema
-import jsonschema.exceptions
 import pytest
 
 from vllm.entrypoints.openai.tool_parsers.mistral_tool_parser import (
     MistralToolCall, MistralToolParser)
-from vllm.sampling_params import GuidedDecodingParams, SamplingParams
+from vllm.sampling_params import SamplingParams
 from vllm.transformers_utils.tokenizer import MistralTokenizer
 
 from ...utils import check_logprobs_close
@@ -274,53 +272,6 @@ def test_mistral_function_calling(vllm_runner, model: str, dtype: str) -> None:
         assert parsed_message.content is None
 
 
-@pytest.mark.parametrize("model", MODELS)
-@pytest.mark.parametrize("guided_backend",
-                         ["outlines", "lm-format-enforcer", "xgrammar"])
-def test_mistral_guided_decoding(
-    monkeypatch: pytest.MonkeyPatch,
-    vllm_runner,
-    model: str,
-    guided_backend: str,
-) -> None:
-    with monkeypatch.context() as m:
-        # Guided JSON not supported in xgrammar + V1 yet
-        m.setenv("VLLM_USE_V1", "0")
-
-        with vllm_runner(
-                model,
-                dtype='bfloat16',
-                tokenizer_mode="mistral",
-                guided_decoding_backend=guided_backend,
-        ) as vllm_model:
-            guided_decoding = GuidedDecodingParams(json=SAMPLE_JSON_SCHEMA)
-            params = SamplingParams(max_tokens=512,
-                                    temperature=0.7,
-                                    guided_decoding=guided_decoding)
-
-            messages = [{
-                "role": "system",
-                "content": "you are a helpful assistant"
-            }, {
-                "role":
-                "user",
-                "content":
-                f"Give an example JSON for an employee profile that "
-                f"fits this schema: {SAMPLE_JSON_SCHEMA}"
-            }]
-            outputs = vllm_model.model.chat(messages, sampling_params=params)
-
-        generated_text = outputs[0].outputs[0].text
-        json_response = json.loads(generated_text)
-        assert outputs is not None
-
-        try:
-            jsonschema.validate(instance=json_response,
-                                schema=SAMPLE_JSON_SCHEMA)
-        except jsonschema.exceptions.ValidationError:
-            pytest.fail("Generated response is not valid with JSON schema")
-
-
 def test_mistral_function_call_nested_json():
     """Ensure that the function-name regex captures the entire outer-most
     JSON block, including nested braces."""