diff --git a/graphgen/models/llm/local/vllm_wrapper.py b/graphgen/models/llm/local/vllm_wrapper.py
index fc412b51..74dc3c4e 100644
--- a/graphgen/models/llm/local/vllm_wrapper.py
+++ b/graphgen/models/llm/local/vllm_wrapper.py
@@ -1,6 +1,7 @@
 import math
 import uuid
 from typing import Any, List, Optional
+import asyncio
 
 from graphgen.bases.base_llm_wrapper import BaseLLMWrapper
 from graphgen.bases.datatypes import Token
@@ -19,6 +20,7 @@ def __init__(
         temperature: float = 0.6,
         top_p: float = 1.0,
         topk: int = 5,
+        timeout: float = 300.0,
         **kwargs: Any,
     ):
         super().__init__(temperature=temperature, top_p=top_p, **kwargs)
@@ -42,6 +44,7 @@ def __init__(
         self.temperature = temperature
         self.top_p = top_p
         self.topk = topk
+        self.timeout = timeout
 
     @staticmethod
     def _build_inputs(prompt: str, history: Optional[List[str]] = None) -> str:
@@ -57,6 +60,12 @@ def _build_inputs(prompt: str, history: Optional[List[str]] = None) -> str:
         lines.append(prompt)
         return "\n".join(lines)
 
+    async def _consume_generator(self, generator):
+        final_output = None
+        async for request_output in generator:
+            final_output = request_output
+        return final_output
+
     async def generate_answer(
         self, text: str, history: Optional[List[str]] = None, **extra: Any
     ) -> str:
@@ -71,14 +80,27 @@ async def generate_answer(
 
         result_generator = self.engine.generate(full_prompt, sp, request_id=request_id)
 
-        final_output = None
-        async for request_output in result_generator:
-            final_output = request_output
-
-        if not final_output or not final_output.outputs:
-            return ""
-
-        return final_output.outputs[0].text
+        try:
+            final_output = await asyncio.wait_for(
+                self._consume_generator(result_generator),
+                timeout=self.timeout
+            )
+            
+            if not final_output or not final_output.outputs:
+                return ""
+
+            result_text = final_output.outputs[0].text
+            return result_text
+            
+        except asyncio.TimeoutError:
+            await self.engine.abort(request_id)
+            raise
+        except asyncio.CancelledError:
+            await self.engine.abort(request_id)
+            raise
+        except Exception as e:
+            await self.engine.abort(request_id)
+            raise
 
     async def generate_topk_per_token(
         self, text: str, history: Optional[List[str]] = None, **extra: Any
@@ -95,37 +117,49 @@ async def generate_topk_per_token(
 
         result_generator = self.engine.generate(full_prompt, sp, request_id=request_id)
 
-        final_output = None
-        async for request_output in result_generator:
-            final_output = request_output
-
-        if (
-            not final_output
-            or not final_output.outputs
-            or not final_output.outputs[0].logprobs
-        ):
-            return []
-
-        top_logprobs = final_output.outputs[0].logprobs[0]
-
-        candidate_tokens = []
-        for _, logprob_obj in top_logprobs.items():
-            tok_str = (
-                logprob_obj.decoded_token.strip() if logprob_obj.decoded_token else ""
-            )
-            prob = float(math.exp(logprob_obj.logprob))
-            candidate_tokens.append(Token(tok_str, prob))
-
-        candidate_tokens.sort(key=lambda x: -x.prob)
-
-        if candidate_tokens:
-            main_token = Token(
-                text=candidate_tokens[0].text,
-                prob=candidate_tokens[0].prob,
-                top_candidates=candidate_tokens,
+        try:
+            final_output = await asyncio.wait_for(
+                self._consume_generator(result_generator),
+                timeout=self.timeout
             )
-            return [main_token]
-        return []
+            
+            if (
+                not final_output
+                or not final_output.outputs
+                or not final_output.outputs[0].logprobs
+            ):
+                return []
+
+            top_logprobs = final_output.outputs[0].logprobs[0]
+
+            candidate_tokens = []
+            for _, logprob_obj in top_logprobs.items():
+                tok_str = (
+                    logprob_obj.decoded_token.strip() if logprob_obj.decoded_token else ""
+                )
+                prob = float(math.exp(logprob_obj.logprob))
+                candidate_tokens.append(Token(tok_str, prob))
+
+            candidate_tokens.sort(key=lambda x: -x.prob)
+
+            if candidate_tokens:
+                main_token = Token(
+                    text=candidate_tokens[0].text,
+                    prob=candidate_tokens[0].prob,
+                    top_candidates=candidate_tokens,
+                )
+                return [main_token]
+            return []
+            
+        except asyncio.TimeoutError:
+            await self.engine.abort(request_id)
+            raise
+        except asyncio.CancelledError:
+            await self.engine.abort(request_id)
+            raise
+        except Exception as e:
+            await self.engine.abort(request_id)
+            raise
 
     async def generate_inputs_prob(
         self, text: str, history: Optional[List[str]] = None, **extra: Any
@@ -133,3 +167,4 @@ async def generate_inputs_prob(
         raise NotImplementedError(
             "VLLMWrapper does not support per-token logprobs yet."
         )
+