[Bugfix]: v1 engine - consider lora adapters in allowed_token_ids (#17855)

Signed-off-by: Ben Browning <bbrownin@redhat.com>

tests/lora/conftest.py

@@ -139,6 +139,12 @@ def dummy_model_gate_up() -> nn.Module:
     return model
 
 
+@pytest.fixture(scope="session")
+def llama_2_7b_base_huggingface_id():
+    # used as a base model for testing with sql lora adapter
+    return "meta-llama/Llama-2-7b-hf"
+
+
 @pytest.fixture(scope="session")
 def sql_lora_huggingface_id():
     # huggingface repo id is used to test lora runtime downloading.
@@ -198,6 +204,12 @@ def qwen2vl_lora_files():
     return snapshot_download(repo_id="jeeejeee/qwen2-vl-lora-pokemon")
 
 
+@pytest.fixture(scope="session")
+def qwen25vl_base_huggingface_id():
+    # used as a base model for testing with qwen25vl lora adapter
+    return "Qwen/Qwen2.5-VL-3B-Instruct"
+
+
 @pytest.fixture(scope="session")
 def qwen25vl_lora_files():
     return snapshot_download(repo_id="jeeejeee/qwen25-vl-lora-pokemon")
@@ -261,8 +273,8 @@ def run_with_both_engines_lora(request, monkeypatch):
 @pytest.fixture
 def reset_default_device():
     """
-    Some tests, such as `test_punica_ops.py`, explicitly set the 
-    default device, which can affect subsequent tests. Adding this fixture 
+    Some tests, such as `test_punica_ops.py`, explicitly set the
+    default device, which can affect subsequent tests. Adding this fixture
     helps avoid this problem.
     """
     original_device = torch.get_default_device()

tests/lora/test_lora_allowed_token_ids.py

+# SPDX-License-Identifier: Apache-2.0
+
+import pytest
+
+from vllm.config import (CacheConfig, DeviceConfig, LoRAConfig, ModelConfig,
+                         VllmConfig)
+from vllm.lora.request import LoRARequest
+from vllm.sampling_params import SamplingParams
+from vllm.transformers_utils.tokenizer_group import init_tokenizer_from_configs
+from vllm.v1.engine.processor import Processor
+
+
+def test_allowed_token_ids_with_lora_vocab(llama_2_7b_base_huggingface_id,
+                                           sql_lora_files):
+    """
+    Test that we properly resolve the range of allowed token ids for lora
+    adapters that define additional tokens.
+    """
+
+    # Setup a base model compatible with the sql_lora_files adapter and
+    # a known number of tokens in the base model.
+    model_config = ModelConfig(
+        model=llama_2_7b_base_huggingface_id,
+        tokenizer=llama_2_7b_base_huggingface_id,
+        tokenizer_mode="auto",
+    )
+
+    vllm_config = VllmConfig(
+        model_config=model_config,
+        cache_config=CacheConfig(),
+        device_config=DeviceConfig(),
+        lora_config=LoRAConfig(),
+    )
+
+    tokenizer = init_tokenizer_from_configs(
+        model_config=vllm_config.model_config,
+        scheduler_config=vllm_config.scheduler_config,
+        lora_config=vllm_config.lora_config)
+    processor = Processor(vllm_config, tokenizer)
+
+    lora_request = LoRARequest("1", 1, str(sql_lora_files))
+    request_id = "1"
+    prompt = "a prompt"
+
+    # tokens added in the lora adapter should not raise an error
+    lora_token_ids = [32000, 32001, 32002, 32003]
+    processor.process_inputs(
+        request_id,
+        prompt,
+        params=SamplingParams(allowed_token_ids=lora_token_ids),
+        lora_request=lora_request)
+
+    # tokens in the base model should not raise an error
+    base_token_ids = [1000, 1001, 1002, 1003]
+    processor.process_inputs(
+        request_id,
+        prompt,
+        params=SamplingParams(allowed_token_ids=base_token_ids),
+        lora_request=lora_request)
+
+    # tokens not in the lora adapter should raise an error
+    invalid_token_ids = [35000, 35001, 35002, 35003]
+    with pytest.raises(ValueError):
+        processor.process_inputs(
+            request_id,
+            prompt,
+            params=SamplingParams(allowed_token_ids=invalid_token_ids),
+            lora_request=lora_request)
+
+    # tokens in the lora adapter with no lora request should raise an error
+    with pytest.raises(ValueError):
+        processor.process_inputs(
+            request_id,
+            prompt,
+            params=SamplingParams(allowed_token_ids=lora_token_ids),
+        )
+
+
+def test_allowed_token_ids_with_lora_adapter_no_vocab(
+        qwen25vl_base_huggingface_id, qwen25vl_lora_files):
+    """
+    Test that we properly resolve the range of allowed token ids for lora
+    adapters that do not define additional tokens.
+    """
+
+    # Setup a base model compatible with the qwen25vl_lora_files adapter and
+    # a known number of tokens in the base model.
+    model_config = ModelConfig(
+        model=qwen25vl_base_huggingface_id,
+        tokenizer=qwen25vl_base_huggingface_id,
+        tokenizer_mode="auto",
+    )
+
+    vllm_config = VllmConfig(
+        model_config=model_config,
+        cache_config=CacheConfig(),
+        device_config=DeviceConfig(),
+        lora_config=LoRAConfig(),
+    )
+
+    tokenizer = init_tokenizer_from_configs(
+        model_config=vllm_config.model_config,
+        scheduler_config=vllm_config.scheduler_config,
+        lora_config=vllm_config.lora_config)
+    processor = Processor(vllm_config, tokenizer)
+
+    lora_request = LoRARequest("1", 1, str(qwen25vl_lora_files))
+    request_id = "1"
+    prompt = "a prompt"
+
+    # tokens in the base model should not raise an error
+    base_token_ids = [1000, 1001, 1002, 1003]
+    processor.process_inputs(
+        request_id,
+        prompt,
+        params=SamplingParams(allowed_token_ids=base_token_ids),
+        lora_request=lora_request)
+
+    # tokens in the base model with no lora request should not raise an error
+    base_token_ids = [1000, 1001, 1002, 1003]
+    processor.process_inputs(
+        request_id,
+        prompt,
+        params=SamplingParams(allowed_token_ids=base_token_ids),
+    )
+
+    # tokens not in the base model should raise an error
+    invalid_token_ids = [200000, 200001, 200002, 200003]
+    with pytest.raises(ValueError):
+        processor.process_inputs(
+            request_id,
+            prompt,
+            params=SamplingParams(allowed_token_ids=invalid_token_ids),
+            lora_request=lora_request)

vllm/v1/engine/processor.py

@@ -74,6 +74,7 @@ class Processor:
     def _validate_sampling_params(
         self,
         params: SamplingParams,
+        lora_request: Optional[LoRARequest],
     ) -> None:
         self._validate_structured_output(params)
         self._validate_logit_bias(params)
@@ -82,7 +83,8 @@ class Processor:
             return
         if not params.allowed_token_ids:
             raise ValueError("allowed_token_ids is not None and empty!")
-        vocab_size = self.model_config.get_vocab_size()
+        tokenizer = self.tokenizer.get_lora_tokenizer(lora_request)
+        vocab_size = len(tokenizer)
         if not all(0 <= tid < vocab_size for tid in params.allowed_token_ids):
             raise ValueError(
                 "allowed_token_ids contains out-of-vocab token id!")
@@ -122,6 +124,7 @@ class Processor:
     def _validate_params(
         self,
         params: Union[SamplingParams, PoolingParams],
+        lora_request: Optional[LoRARequest],
     ):
         """
         Validate supported SamplingParam.
@@ -132,7 +135,7 @@ class Processor:
             raise ValueError("V1 does not yet support Pooling models.")
 
         self._validate_logprobs(params)
-        self._validate_sampling_params(params)
+        self._validate_sampling_params(params, lora_request)
         self._validate_supported_sampling_params(params)
 
     def _validate_lora(self, lora_request: Optional[LoRARequest]) -> None:
@@ -207,7 +210,7 @@ class Processor:
         # TODO(woosuk): Support pooling models.
         # TODO(woosuk): Support encoder-decoder models.
         self._validate_lora(lora_request)
-        self._validate_params(params)
+        self._validate_params(params, lora_request)
         if priority != 0:
             raise ValueError("V1 does not support priority yet.")
         if trace_headers is not None: