diff --git a/src/chat_completion_request.h b/src/chat_completion_request.h
index b78dd66..c64a453 100644
--- a/src/chat_completion_request.h
+++ b/src/chat_completion_request.h
@@ -1,5 +1,6 @@
 #pragma once
 #include "json/value.h"
+#include "sampling.h"
 
 namespace llama::inferences {
 struct ChatCompletionRequest {
@@ -12,10 +13,29 @@ struct ChatCompletionRequest {
   Json::Value stop = Json::Value(Json::arrayValue);
   Json::Value messages = Json::Value(Json::arrayValue);
   std::string model_id;
+
+  int seed = -1;
+  float dynatemp_range = 0.0f;
+  float dynatemp_exponent = 1.0f;
+  int top_k = 40;
+  float min_p = 0.05f;
+  float tfs_z = 1.0f;
+  float typ_p = 1.0f;
+  int repeat_last_n = 64;
+  float penalty_repeat = 1.0f;
+  bool mirostat = false;
+  float mirostat_tau = 5.0f;
+  float mirostat_eta = 0.1f;
+  bool penalize_nl = false;
+  bool ignore_eos = false;
+  int n_probs = 0;
+  int min_keep = 0;
+  std::string grammar;
 };
 
 inline ChatCompletionRequest fromJson(std::shared_ptr<Json::Value> jsonBody) {
   ChatCompletionRequest completion;
+  gpt_sampler_params default_params;
   if (jsonBody) {
     completion.stream = (*jsonBody).get("stream", false).asBool();
     completion.max_tokens = (*jsonBody).get("max_tokens", 500).asInt();
@@ -28,6 +48,24 @@ inline ChatCompletionRequest fromJson(std::shared_ptr<Json::Value> jsonBody) {
     completion.messages = (*jsonBody)["messages"];
     completion.stop = (*jsonBody)["stop"];
     completion.model_id = (*jsonBody).get("model", {}).asString();
+
+    completion.seed = (*jsonBody).get("seed", -1).asInt();
+    completion.dynatemp_range = (*jsonBody).get("dynatemp_range", 0.0f).asFloat();
+    completion.dynatemp_exponent = (*jsonBody).get("dynatemp_exponent", 0.0f).asFloat();
+    completion.top_k = (*jsonBody).get("top_k", 40).asInt();
+    completion.min_p = (*jsonBody).get("min_p", 0.05f).asFloat();
+    completion.tfs_z = (*jsonBody).get("tfs_z", 1.0f).asFloat();
+    completion.typ_p = (*jsonBody).get("typ_p", 1.0f).asFloat();
+    completion.repeat_last_n = (*jsonBody).get("repeat_last_n", 64).asInt();
+    completion.penalty_repeat = (*jsonBody).get("repeat_penalty", 1.1f).asFloat();
+    completion.mirostat = (*jsonBody).get("mirostat", false).asBool();
+    completion.mirostat_tau = (*jsonBody).get("mirostat_tau", 5.0f).asFloat();
+    completion.mirostat_eta = (*jsonBody).get("mirostat_eta", 0.1f).asFloat();
+    completion.penalize_nl = (*jsonBody).get("penalize_nl", true).asBool();
+    completion.ignore_eos = (*jsonBody).get("ignore_eos", false).asBool();
+    completion.n_probs = (*jsonBody).get("n_probs", 0).asInt();
+    completion.min_keep = (*jsonBody).get("min_keep", 0).asInt();
+    completion.grammar = (*jsonBody).get("grammar", "").asString();
   }
   return completion;
 }
diff --git a/src/llama_engine.cc b/src/llama_engine.cc
index b21d842..2865ee6 100644
--- a/src/llama_engine.cc
+++ b/src/llama_engine.cc
@@ -480,6 +480,10 @@ bool LlamaEngine::LoadModelImpl(std::shared_ptr<Json::Value> json_body) {
     if (!params.use_mmap) {
       LOG_DEBUG << "Disabled mmap";
     }
+    params.n_predict = json_body->get("n_predict", -1).asInt();
+    params.prompt = json_body->get("prompt", "").asString();
+    params.conversation = json_body->get("conversation", false).asBool();
+    params.special = json_body->get("special", false).asBool();
 
     server_map_[model_id].caching_enabled =
         json_body->get("caching_enabled", true).asBool();
@@ -599,6 +603,24 @@ void LlamaEngine::HandleInferenceImpl(
   data["temperature"] = completion.temperature;
   data["frequency_penalty"] = completion.frequency_penalty;
   data["presence_penalty"] = completion.presence_penalty;
+  data["seed"] = completion.seed;
+  data["dynatemp_range"] = completion.dynatemp_range;
+  data["dynatemp_exponent"] = completion.dynatemp_exponent;
+  data["top_k"] = completion.top_k;
+  data["min_p"] = completion.min_p;
+  data["tfs_z"] = completion.tfs_z;
+  data["typical_p"] = completion.typ_p;
+  data["repeat_last_n"] = completion.repeat_last_n;
+  data["repeat_penalty"] = completion.penalty_repeat;
+  data["mirostat"] = completion.mirostat;
+  data["mirostat_tau"] = completion.mirostat_tau;
+  data["mirostat_eta"] = completion.mirostat_eta;
+  data["penalize_nl"] = completion.penalize_nl;
+  data["ignore_eos"] = completion.ignore_eos;
+  data["n_probs"] = completion.n_probs;
+  data["min_keep"] = completion.min_keep;
+  data["grammar"] = completion.grammar;
+  int n_probs = completion.n_probs;
   const Json::Value& messages = completion.messages;
 
   if (!si.grammar_file_content.empty()) {
@@ -717,12 +739,17 @@ void LlamaEngine::HandleInferenceImpl(
     auto state = CreateInferenceState(si.ctx);
 
     // Queued task
-    si.q->runTaskInQueue([cb = std::move(callback), state, data, request_id]() {
+    si.q->runTaskInQueue([cb = std::move(callback), state, data, request_id, n_probs]() {
       state->task_id = state->llama.RequestCompletion(data, false, false, -1);
       while (state->llama.model_loaded_external) {
         TaskResult result = state->llama.NextResult(state->task_id);
         if (!result.error) {
-          std::string to_send = result.result_json["content"];
+          std::string to_send;
+          if (n_probs > 0){
+            to_send = result.result_json["completion_probabilities"].dump();
+          }else{
+            to_send = result.result_json["content"];
+          }
           // trim the leading space if it is the first token
           if (std::exchange(state->is_first_token, false)) {
             llama_utils::ltrim(to_send);
diff --git a/src/llama_server_context.cc b/src/llama_server_context.cc
index 11f4a82..e8e7205 100644
--- a/src/llama_server_context.cc
+++ b/src/llama_server_context.cc
@@ -459,6 +459,15 @@ bool LlamaServerContext::LaunchSlotWithData(LlamaClientSlot*& slot, json data) {
   slot->params.seed = json_value(data, "seed", default_params.seed);
   slot->sparams.grammar = json_value(data, "grammar", default_sparams.grammar);
   slot->sparams.n_probs = json_value(data, "n_probs", default_sparams.n_probs);
+  slot->sparams.min_keep =
+      json_value(data, "min_keep", default_sparams.min_keep);
+  slot->sparams.seed = json_value(data, "seed", default_sparams.seed);
+  slot->sparams.dynatemp_range =
+      json_value(data, "dynatemp_range", default_sparams.dynatemp_range);
+  slot->sparams.dynatemp_exponent =
+      json_value(data, "dynatemp_exponent", default_sparams.dynatemp_exponent);
+  slot->sparams.ignore_eos =
+      json_value(data, "ignore_eos", default_sparams.ignore_eos);
 
   // infill
   if (data.count("input_prefix") != 0) {
@@ -970,8 +979,13 @@ void LlamaServerContext::SendFinalResponse(LlamaClientSlot& slot) {
           slot.generated_token_probs.begin(),
           slot.generated_token_probs.begin() + slot.sent_token_probs_index);
     }
-    res.result_json["completion_probabilities"] =
+    if(!slot.params.stream ){
+      res.result_json["completion_probabilities"] =
         probs_vector_to_json(ctx, probs);
+    }
+    else{
+      res.result_json["completion_probabilities"] = std::move(json());
+    }
   }
 
   if (slot.oaicompat) {