diff --git a/tests/lora/test_gptoss_tp.py b/tests/lora/test_gptoss_tp.py
index f4269750feb6..2fa61f280587 100644
--- a/tests/lora/test_gptoss_tp.py
+++ b/tests/lora/test_gptoss_tp.py
@@ -76,6 +76,8 @@ def test_gpt_oss_lora(gptoss20b_lora_files):
         enable_lora=True,
         max_loras=4,
         max_lora_rank=8,
+        max_num_seqs=2,
+        max_num_batched_tokens=2048,
         compilation_config=vllm.config.CompilationConfig(  # Avoid OOM
             cudagraph_specialize_lora=False,
         ),
@@ -94,8 +96,10 @@ def test_gpt_oss_lora_tp2(gptoss20b_lora_files, fully_sharded_loras):
         enable_lora=True,
         max_loras=2,
         max_lora_rank=8,
-        max_num_seqs=16,
+        max_num_seqs=2,
+        max_num_batched_tokens=2048,
         tensor_parallel_size=2,
+        gpu_memory_utilization=0.8,
         fully_sharded_loras=fully_sharded_loras,
         compilation_config=vllm.config.CompilationConfig(  # Avoid OOM
             cudagraph_specialize_lora=False,
diff --git a/tests/lora/test_llama_tp.py b/tests/lora/test_llama_tp.py
index 18704fa6e45d..483235ff5129 100644
--- a/tests/lora/test_llama_tp.py
+++ b/tests/lora/test_llama_tp.py
@@ -76,11 +76,18 @@ def do_sample(
             if lora_id
             else None,
         )
-    # Print the outputs.
+    lora_request = LoRARequest(str(lora_id), lora_id, lora_path) if lora_id else None
     generated_texts: list[str] = []
     for output in outputs:
         prompt = output.prompt
         generated_text = output.outputs[0].text
+        # The output should include  correct lora_request info
+        if lora_request is not None:
+            assert output.lora_request.lora_name == lora_request.lora_name
+            assert output.lora_request.lora_int_id == lora_request.lora_int_id
+            assert output.lora_request.lora_path == lora_request.lora_path
+        else:
+            assert output.lora_request is None
         generated_texts.append(generated_text)
         print(f"Prompt: {prompt!r}, Generated text: {generated_text!r}")
     return generated_texts
diff --git a/vllm/v1/engine/output_processor.py b/vllm/v1/engine/output_processor.py
index 9be3f4da7352..8f7d8a71f1a2 100644
--- a/vllm/v1/engine/output_processor.py
+++ b/vllm/v1/engine/output_processor.py
@@ -8,6 +8,7 @@
 
 import torch
 
+from vllm.lora.request import LoRARequest
 from vllm.outputs import (
     CompletionOutput,
     PoolingOutput,
@@ -93,7 +94,7 @@ def __init__(
         request_id: str,
         parent_req: ParentRequest | None,
         request_index: int,
-        lora_name: str | None,
+        lora_request: LoRARequest | None,
         output_kind: RequestOutputKind,
         prompt: str | None,
         prompt_token_ids: list[int] | None,
@@ -112,7 +113,8 @@ def __init__(
         self.request_id = request_id
         self.parent_req = parent_req
         self.request_index = request_index
-        self.lora_name = lora_name
+        self.lora_request = lora_request
+        self.lora_name = lora_request.lora_name if lora_request is not None else None
         self.output_kind = output_kind
         self.prompt = prompt
         self.prompt_token_ids = prompt_token_ids
@@ -178,9 +180,7 @@ def from_new_request(
             request_id=request.request_id,
             parent_req=parent_req,
             request_index=request_index,
-            lora_name=(
-                request.lora_request.name if request.lora_request is not None else None
-            ),
+            lora_request=request.lora_request,
             output_kind=output_kind,
             prompt=prompt,
             prompt_token_ids=request.prompt_token_ids,
@@ -289,6 +289,7 @@ def _new_request_output(
 
         return RequestOutput(
             request_id=request_id,
+            lora_request=self.lora_request,
             prompt=self.prompt,
             prompt_token_ids=prompt_token_ids,
             prompt_logprobs=prompt_logprobs,