fix: json mode

llama_cpp/llama_chat_format.py

@@ -339,16 +339,7 @@ def chat_formatter_to_chat_completion_handler(
             stop = stop + rstop
 
         if response_format is not None and response_format["type"] == "json_object":
-            try:
-                # create grammar from json schema
-                if "schema" in response_format:
-                    grammar = llama_grammar.LlamaGrammar.from_json_schema(
-                        json.dumps(response_format["schema"]), verbose=llama.verbose
-                    )
-            except Exception as e:
-                grammar = llama_grammar.LlamaGrammar.from_string(
-                    llama_grammar.JSON_GBNF, verbose=llama.verbose
-                )
+            grammar = _grammar_for_response_format(response_format, verbose=llama.verbose)
 
         completion_or_chunks = llama.create_completion(
             prompt=prompt,
@@ -606,6 +597,35 @@ def _format_chatglm3(
             ret += role
     return ret
 
+def _grammar_for_json(verbose:bool=False):
+    return llama_grammar.LlamaGrammar.from_string(llama_grammar.JSON_GBNF, verbose=verbose)
+
+def _grammar_for_json_schema(
+        schema: str,
+        verbose: bool = False,
+        fallback_to_json: bool = True
+):
+    try:
+        return llama_grammar.LlamaGrammar.from_json_schema(schema, verbose=verbose)
+    except Exception as e:
+        if fallback_to_json:
+            return _grammar_for_json(verbose=verbose)
+        else:
+            raise e
+
+def _grammar_for_response_format(
+        response_format: llama_types.ChatCompletionRequestResponseFormat,
+        verbose: bool = False
+):
+    if response_format["type"] != "json_object":
+        return None
+
+    if "schema" in response_format:
+        return _grammar_for_json_schema(
+            json.dumps(response_format["schema"]), verbose=verbose
+        )
+    else:
+        return _grammar_for_json(verbose=verbose)
 
 ### Chat Formats ###
 
@@ -1994,16 +2014,7 @@ class Llava15ChatHandler:
         prompt = llama.input_ids[: llama.n_tokens].tolist()
 
         if response_format is not None and response_format["type"] == "json_object":
-            try:
-                # create grammar from json schema
-                if "schema" in response_format:
-                    grammar = llama_grammar.LlamaGrammar.from_json_schema(
-                        json.dumps(response_format["schema"])
-                    )
-            except Exception as e:
-                grammar = llama_grammar.LlamaGrammar.from_string(
-                    llama_grammar.JSON_GBNF
-                )
+            grammar = _grammar_for_response_format(response_format)
 
         return _convert_completion_to_chat(
             llama.create_completion(
@@ -2159,26 +2170,10 @@ def chatml_function_calling(
             tool_calls=None,
             add_generation_prompt=True,
         )
+
         if response_format is not None and response_format["type"] == "json_object":
-            try:
-                grammar = (
-                    llama_grammar.LlamaGrammar.from_json_schema(
-                        json.dumps(response_format["schema"])
-                    )
-                    if "schema" in response_format
-                    else None
-                )
-            except Exception as e:
-                if llama.verbose:
-                    print(
-                        "Failed to parse response format as JSON schema, falling back to default grammar"
-                    )
-                    print(e)
-            grammar = (
-                llama_grammar.LlamaGrammar.from_string(llama_grammar.JSON_GBNF)
-                if grammar is None
-                else grammar
-            )
+            grammar = _grammar_for_response_format(response_format)
+
         return _convert_completion_to_chat(
             llama.create_completion(
                 prompt=prompt,