Merge pull request #1011 from guardrails-ai/0.5.4-release

bump version, log on to hub

.github/workflows/examples_check.yml

@@ -21,6 +21,7 @@ jobs:
       OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
       HUGGINGFACE_API_KEY: ${{ secrets.HUGGINGFACE_API_KEY }}
       MISTRAL_API_KEY: ${{ secrets.MISTRAL_API_KEY }}
+      GUARDRAILS_API_KEY: ${{ secrets.GUARDRAILS_API_KEY }}
       NLTK_DATA: /tmp/nltk_data
     steps:
     - name: Checkout repository
@@ -58,6 +59,10 @@ jobs:
         source .venv/bin/activate
         mkdir /tmp/nltk_data;
         python -m nltk.downloader -d /tmp/nltk_data punkt;
+    - name: Login to Guardrails
+      run: |
+        source .venv/bin/activate
+        guardrails configure --token $GUARDRAILS_API_KEY --disable-metrics --enable-remote-inferencing
     - name: Execute notebooks and check for errors
       run: |
         source .venv/bin/activate

docs/examples/toxic_language.ipynb

@@ -66,9 +66,8 @@
     "# Here, we'll use the default validation method of \"sentence\"\n",
     "# and the default threshold of 0.25\n",
     "\n",
-    "guard = gd.Guard.from_string(\n",
-    "    validators=[ToxicLanguage(on_fail=\"fix\")],\n",
-    "    description=\"testmeout\",\n",
+    "guard = gd.Guard().use(\n",
+    "    ToxicLanguage(on_fail=\"fix\")\n",
     ")"
    ]
   },
@@ -170,9 +169,8 @@
    "outputs": [],
    "source": [
     "# Test with validation method 'full'\n",
-    "full_guard = gd.Guard.from_string(\n",
-    "    validators=[ToxicLanguage(validation_method=\"full\", on_fail=\"fix\")],\n",
-    "    description=\"testmeout\",\n",
+    "full_guard = gd.Guard().use(\n",
+    "    ToxicLanguage(validation_method=\"full\", on_fail=\"fix\")\n",
     ")"
    ]
   },

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "guardrails-ai"
-version = "0.5.3"
+version = "0.5.4"
 description = "Adding guardrails to large language models."
 authors = ["Guardrails AI <[email protected]>"]
 license = "Apache License 2.0"
@@ -28,7 +28,7 @@ rstr = "^3.2.2"
 typing-extensions = "^4.8.0"
 python-dateutil = "^2.8.2"
 tiktoken = ">=0.5.1"
-nltk = "^3.8.1"
+nltk = ">3.0, <=3.8.1"
 litellm = "^1.37.14"
 sqlvalidator = {version = "^0.0.20", optional = true}
 sqlalchemy = {version = ">=2.0.9", optional = true}