0.3.5 - vLLM integration notebook

lmformatenforcer/jsonschemaparser.py

@@ -49,7 +49,7 @@ def get_allowed_characters(self) -> str:
         # characters when the object stack is empty (= we are done parsing)
         allowed_characters = self.object_stack[-1].get_allowed_characters() if self.object_stack else WHITESPACE_CHARACTERS
         if self.num_consecutive_whitespaces >= MAX_CONSECUTIVE_WHITESPACES:
-            print("Filtering whitespace characters")
+            # print("Filtering whitespace characters")
             allowed_characters = "".join(c for c in allowed_characters if c not in WHITESPACE_CHARACTERS)
         return allowed_characters
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "lm-format-enforcer"
-version = "0.3.4"
+version = "0.3.5"
 description = "Enforce the output format (JSON Schema, Regex etc) of a language model"
 authors = ["Noam Gat <[email protected]>"]
 license = "MIT"

samples/colab_llama2_enforcer.ipynb

@@ -212,7 +212,7 @@
    "source": [
     "## JSON Use case\n",
     "\n",
-    "Now we demnostrate using ```JsonSchemaParser```. We create a pydantic model, generate the schema from it, and use that to enforce the format.\n",
+    "Now we demonstrate using ```JsonSchemaParser```. We create a pydantic model, generate the schema from it, and use that to enforce the format.\n",
     "The output will always be in a format that can be parsed by the parser."
    ]
   },