diff --git a/litellm/main.py b/litellm/main.py
index 1fc18313d..5bb08cc99 100644
--- a/litellm/main.py
+++ b/litellm/main.py
@@ -255,6 +255,11 @@ def completion(
     frequency_penalty: Optional[float]=None,
     logit_bias: dict = {},
     user: str = "",
+    # openai v1.0+ new params
+    response_format: Optional[dict] = None,
+    seed: Optional[int] = None,
+    tools: Optional[List] = None,
+    tool_choice: Optional[str] = None,
     deployment_id = None,
 
     # set api_base, api_version, api_key
@@ -329,7 +334,7 @@ def completion(
     eos_token = kwargs.get("eos_token", None)
     acompletion = kwargs.get("acompletion", False)
     ######## end of unpacking kwargs ###########
-    openai_params = ["functions", "function_call", "temperature", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user", "request_timeout", "api_base", "api_version", "api_key", "deployment_id", "organization", "base_url", "default_headers", "timeout"]
+    openai_params = ["functions", "function_call", "temperature", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user", "request_timeout", "api_base", "api_version", "api_key", "deployment_id", "organization", "base_url", "default_headers", "timeout", "response_format", "seed", "tools", "tool_choice"]
     litellm_params = ["metadata", "acompletion", "caching", "return_async", "mock_response", "api_key", "api_version", "api_base", "force_timeout", "logger_fn", "verbose", "custom_llm_provider", "litellm_logging_obj", "litellm_call_id", "use_client", "id", "fallbacks", "azure", "headers", "model_list", "num_retries", "context_window_fallback_dict", "roles", "final_prompt_value", "bos_token", "eos_token", "request_timeout", "complete_response", "self", "max_retries"]
     default_params = openai_params + litellm_params
     non_default_params = {k: v for k,v in kwargs.items() if k not in default_params} # model-specific params - pass them straight to the model/provider
@@ -400,6 +405,10 @@ def completion(
                 # params to identify the model
                 model=model,
                 custom_llm_provider=custom_llm_provider,
+                response_format=response_format,
+                seed=seed,
+                tools=tools,
+                tool_choice=tool_choice,
                 **non_default_params 
             )
         
diff --git a/litellm/utils.py b/litellm/utils.py
index 96ad325fc..808dc3323 100644
--- a/litellm/utils.py
+++ b/litellm/utils.py
@@ -1751,6 +1751,10 @@ def get_optional_params(  # use the openai defaults
     user="",
     model=None,
     custom_llm_provider="",
+    response_format=None,
+    seed=None,
+    tools=None,
+    tool_choice=None,
     **kwargs
 ):
     # retrieve all parameters passed to the function
@@ -1773,6 +1777,10 @@ def get_optional_params(  # use the openai defaults
         "user":"",
         "model":None,
         "custom_llm_provider":"",
+        "response_format": None,
+        "seed": None,
+        "tools": None,
+        "tool_choice": None
     }
     # filter out those parameters that were passed with non-default values
     non_default_params = {k: v for k, v in passed_params.items() if (k != "model" and k != "custom_llm_provider" and k in default_params and v != default_params[k])}
@@ -2166,7 +2174,7 @@ def get_optional_params(  # use the openai defaults
                 temperature = 0.0001 # close to 0
             optional_params["temperature"] = temperature
     else:  # assume passing in params for openai/azure openai
-        supported_params = ["functions", "function_call", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user"]
+        supported_params = ["functions", "function_call", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user", "response_format", "seed", "tools", "tool_choice"]
         _check_valid_arg(supported_params=supported_params)
         optional_params = non_default_params
     # if user passed in non-default kwargs for specific providers/models, pass them along