@@ -518,6 +518,10 @@ async def get_event_publisher(
     default=0.1, ge=0.001, le=1.0, description="Mirostat learning rate"
 )
 
+grammar = Field(
+    default=None,
+    description="A CBNF grammar (as string) to be used for formatting the model's output."
+)
 
 class CreateCompletionRequest(BaseModel):
     prompt: Union[str, List[str]] = Field(
@@ -533,6 +537,7 @@ class CreateCompletionRequest(BaseModel):
     mirostat_mode: int = mirostat_mode_field
     mirostat_tau: float = mirostat_tau_field
     mirostat_eta: float = mirostat_eta_field
+    grammar: Optional[str] = None
     echo: bool = Field(
         default=False,
         description="Whether to echo the prompt in the generated text. Useful for chatbots.",
@@ -634,6 +639,9 @@ async def create_completion(
             ]
         )
 
+    if body.grammar is not None:
+        kwargs["grammar"] = llama_cpp.LlamaGrammar.from_string(body.grammar)
+
     iterator_or_completion: Union[
         llama_cpp.Completion, Iterator[llama_cpp.CompletionChunk]
     ] = await run_in_threadpool(llama, **kwargs)
@@ -714,6 +722,7 @@ class CreateChatCompletionRequest(BaseModel):
     mirostat_mode: int = mirostat_mode_field
     mirostat_tau: float = mirostat_tau_field
     mirostat_eta: float = mirostat_eta_field
+    grammar: Optional[str] = None
     stop: Optional[List[str]] = stop_field
     stream: bool = stream_field
     presence_penalty: Optional[float] = presence_penalty_field
@@ -772,6 +781,9 @@ async def create_chat_completion(
             ]
         )
 
+    if body.grammar is not None:
+        kwargs["grammar"] = llama_cpp.LlamaGrammar.from_string(body.grammar)
+
     iterator_or_completion: Union[
         llama_cpp.ChatCompletion, Iterator[llama_cpp.ChatCompletionChunk]
     ] = await run_in_threadpool(llama.create_chat_completion, **kwargs)