diff --git a/unify/clients.py b/unify/clients.py
index a204248..ea0de13 100644
--- a/unify/clients.py
+++ b/unify/clients.py
@@ -126,7 +126,9 @@ def generate(  # noqa: WPS234, WPS211
         user_prompt: Optional[str] = None,
         system_prompt: Optional[str] = None,
         messages: Optional[List[Dict[str, str]]] = None,
-        max_tokens: Optional[int] = None,
+        max_tokens: Optional[int] = 1024,
+        temperature: Optional[float] = 1.0,
+        stop: Optional[List[str]] = None,
         stream: bool = False,
     ) -> Union[Generator[str, None, None], str]:  # noqa: DAR101, DAR201, DAR401
         """Generate content using the Unify API.
@@ -141,8 +143,15 @@ def generate(  # noqa: WPS234, WPS211
             messages (List[Dict[str, str]]): A list of dictionaries containing the
             conversation history. If provided, user_prompt must be None.
 
-            max_tokens (Optional[int]): The max number of output tokens, defaults
-            to the provider's default max_tokens when the value is None.
+            max_tokens (Optional[int]): The max number of output tokens.
+            Defaults to the provider's default max_tokens when the value is None.
+
+            temperature (Optional[float]):  What sampling temperature to use, between 0 and 2. 
+            Higher values like 0.8 will make the output more random, 
+            while lower values like 0.2 will make it more focused and deterministic.
+            Defaults to the provider's default max_tokens when the value is None.
+
+            stop (Optional[List[str]]): Up to 4 sequences where the API will stop generating further tokens.
 
             stream (bool): If True, generates content as a stream.
             If False, generates content as a single response.
@@ -159,7 +168,6 @@ def generate(  # noqa: WPS234, WPS211
         contents = []
         if system_prompt:
             contents.append({"role": "system", "content": system_prompt})
-
         if user_prompt:
             contents.append({"role": "user", "content": user_prompt})
         elif messages:
@@ -168,8 +176,14 @@ def generate(  # noqa: WPS234, WPS211
             raise UnifyError("You must provider either the user_prompt or messages!")
 
         if stream:
-            return self._generate_stream(contents, self._endpoint, max_tokens=max_tokens)
-        return self._generate_non_stream(contents, self._endpoint, max_tokens=max_tokens)
+            return self._generate_stream(contents, self._endpoint,
+                                          max_tokens=max_tokens,
+                                          temperature=temperature,
+                                          stop=stop)
+        return self._generate_non_stream(contents, self._endpoint,
+                                          max_tokens=max_tokens,
+                                          temperature=temperature,
+                                          stop=stop)
 
     def get_credit_balance(self) -> float:
         # noqa: DAR201, DAR401
@@ -201,13 +215,17 @@ def _generate_stream(
         self,
         messages: List[Dict[str, str]],
         endpoint: str,
-        max_tokens: Optional[int] = None
+        max_tokens: Optional[int] = 1024,
+        temperature: Optional[float] = 1.0,
+        stop: Optional[List[str]] = None,
     ) -> Generator[str, None, None]:
         try:
             chat_completion = self.client.chat.completions.create(
                 model=endpoint,
                 messages=messages,  # type: ignore[arg-type]
                 max_tokens=max_tokens,
+                temperature=temperature,
+                stop=stop,
                 stream=True,
             )
             for chunk in chat_completion:
@@ -222,13 +240,17 @@ def _generate_non_stream(
         self,
         messages: List[Dict[str, str]],
         endpoint: str,
-        max_tokens: Optional[int] = None
+        max_tokens: Optional[int] = 1024,
+        temperature: Optional[float] = 1.0,
+        stop: Optional[List[str]] = None,
     ) -> str:
         try:
             chat_completion = self.client.chat.completions.create(
                 model=endpoint,
                 messages=messages,  # type: ignore[arg-type]
                 max_tokens=max_tokens,
+                temperature=temperature,
+                stop=stop,
                 stream=False,
             )
             self.set_provider(
@@ -388,6 +410,8 @@ async def generate(  # noqa: WPS234, WPS211
         system_prompt: Optional[str] = None,
         messages: Optional[List[Dict[str, str]]] = None,
         max_tokens: Optional[int] = None,
+        temperature: Optional[float] = 1.0,
+        stop: Optional[List[str]] = None,
         stream: bool = False,
     ) -> Union[AsyncGenerator[str, None], str]:  # noqa: DAR101, DAR201, DAR401
         """Generate content asynchronously using the Unify API.
@@ -405,6 +429,13 @@ async def generate(  # noqa: WPS234, WPS211
             max_tokens (Optional[int]): The max number of output tokens, defaults
             to the provider's default max_tokens when the value is None.
 
+            temperature (Optional[float]):  What sampling temperature to use, between 0 and 2. 
+            Higher values like 0.8 will make the output more random, 
+            while lower values like 0.2 will make it more focused and deterministic.
+            Defaults to the provider's default max_tokens when the value is None.
+
+            stop (Optional[List[str]]): Up to 4 sequences where the API will stop generating further tokens.
+
             stream (bool): If True, generates content as a stream.
             If False, generates content as a single response.
             Defaults to False.
@@ -429,20 +460,24 @@ async def generate(  # noqa: WPS234, WPS211
             raise UnifyError("You must provide either the user_prompt or messages!")
 
         if stream:
-            return self._generate_stream(contents, self._endpoint, max_tokens=max_tokens)
-        return await self._generate_non_stream(contents, self._endpoint, max_tokens=max_tokens)
+            return self._generate_stream(contents, self._endpoint, max_tokens=max_tokens, stop=stop, temperature=temperature)
+        return await self._generate_non_stream(contents, self._endpoint, max_tokens=max_tokens, stop=stop, temperature=temperature)
 
     async def _generate_stream(
         self,
         messages: List[Dict[str, str]],
         endpoint: str,
         max_tokens: Optional[int] = None,
+        temperature: Optional[float] = 1.0,
+        stop: Optional[List[str]] = None,
     ) -> AsyncGenerator[str, None]:
         try:
             async_stream = await self.client.chat.completions.create(
                 model=endpoint,
                 messages=messages,  # type: ignore[arg-type]
                 max_tokens=max_tokens,
+                temperature=temperature,
+                stop=stop,
                 stream=True,
             )
             async for chunk in async_stream:  # type: ignore[union-attr]
@@ -456,12 +491,16 @@ async def _generate_non_stream(
         messages: List[Dict[str, str]],
         endpoint: str,
         max_tokens: Optional[int] = None,
+        temperature: Optional[float] = 1.0,
+        stop: Optional[List[str]] = None,
     ) -> str:
         try:
             async_response = await self.client.chat.completions.create(
                 model=endpoint,
                 messages=messages,  # type: ignore[arg-type]
                 max_tokens=max_tokens,
+                temperature=temperature,
+                stop=stop,
                 stream=False,
             )
             self.set_provider(async_response.model.split("@")[-1])  # type: ignore