diff --git a/tensorrt_llm/scaffolding/task.py b/tensorrt_llm/scaffolding/task.py
index 92a278ebfb0..4900a650db3 100644
--- a/tensorrt_llm/scaffolding/task.py
+++ b/tensorrt_llm/scaffolding/task.py
@@ -1,9 +1,11 @@
 from dataclasses import dataclass, field
 from enum import Enum
-from typing import List, Optional, Union
+from typing import Dict, List, Optional, Union
 
 import torch
 
+from tensorrt_llm.serve.openai_protocol import StreamOptions
+
 
 class ScaffoldingOutput:
 
@@ -37,10 +39,28 @@ class GenerationTask(Task):
     skip_tokenizer: bool = False
     skip_detokenizer: bool = False
 
-    # sampling params
+    # sampling params for openai
+    # Ordered by official OpenAI API documentation
+    # https://platform.openai.com/docs/api-reference/completions/create
+    # The special case is `num_logprobs`, its original name si `logprobs` but conflicted by the result field
+    best_of: Optional[int] = None
+    echo: Optional[bool] = False
+    frequency_penalty: Optional[float] = 0.0
+    logit_bias: Optional[Dict[str, float]] = None
+    num_logprobs: Optional[int] = None
     max_tokens: Optional[int] = 2048
+    n: int = 1
+    presence_penalty: Optional[float] = 0.0
+    seed: Optional[int] = None
+    stop: Optional[Union[str, List[str]]] = field(default_factory=list)
+    stream: Optional[bool] = False
+    stream_options: Optional[StreamOptions] = None
+    suffix: Optional[str] = None
     temperature: Optional[float] = None
     top_p: Optional[float] = None
+    user: Optional[str] = None
+
+    # sampling params
     top_k: Optional[int] = None
     return_context_logits: Optional[bool] = False
 
diff --git a/tensorrt_llm/scaffolding/worker.py b/tensorrt_llm/scaffolding/worker.py
index 69086392648..667fb2614d6 100644
--- a/tensorrt_llm/scaffolding/worker.py
+++ b/tensorrt_llm/scaffolding/worker.py
@@ -73,9 +73,25 @@ def convert_task_params(self, task: GenerationTask):
             "model": self.model,
             "prompt": task.input_str,
         }
+        add_param_if_not_none(params, "best_of", [task.best_of])
+        add_param_if_not_none(params, "echo", [task.echo])
+        add_param_if_not_none(params, "frequency_penalty",
+                              [task.frequency_penalty])
+        add_param_if_not_none(params, "logit_bias", [task.logit_bias])
+        add_param_if_not_none(params, "logprobs", [task.num_logprobs])
         add_param_if_not_none(params, "max_tokens", [task.max_tokens])
+        add_param_if_not_none(params, "n", [task.n])
+        add_param_if_not_none(params, "presence_penalty",
+                              [task.presence_penalty])
+        add_param_if_not_none(params, "seed", [task.seed])
+        add_param_if_not_none(params, "stop", [task.stop])
+        add_param_if_not_none(params, "stream", [task.stream])
+        add_param_if_not_none(params, "stream_options", [task.stream_options])
+        add_param_if_not_none(params, "suffix", [task.suffix])
         add_param_if_not_none(params, "temperature", [task.temperature])
         add_param_if_not_none(params, "top_p", [task.top_p])
+        add_param_if_not_none(params, "user", [task.user])
+
         return params
 
     def fill_generation_task_with_response(self, task: GenerationTask,