Repository: guardrails-ai/guardrails (language: python)

Issue:
import tele changes
This code is (mostly) stolen from a fork by @CalebCourier
 


Discussion / hints:

Fix patch:
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index 1a32406d9..336d01e5f 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -9,7 +9,6 @@ on:
     branches:
       - main
       - dev
-      - "0.3.0"
 
   # Allows you to run this workflow manually from the Actions tab
   workflow_dispatch:
@@ -21,17 +20,17 @@ jobs:
       matrix:
         python-version: ["3.8", "3.9", "3.10", "3.11"]
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
 
-      - name: Poetry cache
-        uses: actions/cache@v3
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-cache-${{ runner.os }}-${{ matrix.python-version }}-${{ env.POETRY_VERSION }}
+      # - name: Poetry cache
+      #   uses: actions/cache@v3
+      #   with:
+      #     path: ~/.cache/pypoetry
+      #     key: poetry-cache-${{ runner.os }}-${{ matrix.python-version }}-${{ env.POETRY_VERSION }}
 
       - name: Install Poetry
         uses: snok/install-poetry@v1
@@ -53,17 +52,17 @@ jobs:
         pydantic-version: ["1.10.9", "2.4.2"]
         openai-version: ["0.28.1", "1.2.4"]
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
 
-      - name: Poetry cache
-        uses: actions/cache@v3
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-cache-${{ runner.os }}-${{ matrix.python-version }}-${{ env.POETRY_VERSION }}-${{ matrix.pydantic-version }}
+      # - name: Poetry cache
+      #   uses: actions/cache@v3
+      #   with:
+      #     path: ~/.cache/pypoetry
+      #     key: poetry-cache-${{ runner.os }}-${{ matrix.python-version }}-${{ env.POETRY_VERSION }}-${{ matrix.pydantic-version }}
 
       - name: Install Poetry
         uses: snok/install-poetry@v1
@@ -106,17 +105,17 @@ jobs:
         pydantic-version: ["1.10.9", "2.4.2"]
         openai-version: ["0.28.1", "1.2.4"]
     steps:
-      - uses: actions/checkout@v2
+      - uses: actions/checkout@v4
       - name: Set up Python ${{ matrix.python-version }}
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v5
         with:
           python-version: ${{ matrix.python-version }}
 
-      - name: Poetry cache
-        uses: actions/cache@v3
-        with:
-          path: ~/.cache/pypoetry
-          key: poetry-cache-${{ runner.os }}-${{ matrix.python-version }}-${{ env.POETRY_VERSION }}-${{ matrix.pydantic-version }}-${{ matrix.openai-version }}
+      # - name: Poetry cache
+      #   uses: actions/cache@v3
+      #   with:
+      #     path: ~/.cache/pypoetry
+      #     key: poetry-cache-${{ runner.os }}-${{ matrix.python-version }}-${{ env.POETRY_VERSION }}-${{ matrix.pydantic-version }}-${{ matrix.openai-version }}
 
       - name: Install Poetry
         uses: snok/install-poetry@v1
@@ -154,16 +153,16 @@ jobs:
         NLTK_DATA: /tmp/nltk_data
     steps:
         - name: Checkout repository
-          uses: actions/checkout@v2    
+          uses: actions/checkout@v4    
         - name: Set up Python
-          uses: actions/setup-python@v4
+          uses: actions/setup-python@v5
           with: 
             python-version: 3.11.x
-        - name: Poetry cache
-          uses: actions/cache@v3
-          with:
-            path: ~/.cache/pypoetry
-            key: poetry-cache-${{ runner.os }}-3.11.x-${{ env.POETRY_VERSION }}
+        # - name: Poetry cache
+        #   uses: actions/cache@v3
+        #   with:
+        #     path: ~/.cache/pypoetry
+        #     key: poetry-cache-${{ runner.os }}-3.11.x-${{ env.POETRY_VERSION }}
         - name: Install Poetry
           uses: snok/install-poetry@v1
           with:
diff --git a/docs/api_reference/response_structures.md b/docs/api_reference/response_structures.md
index efac7dd9f..168be571e 100644
--- a/docs/api_reference/response_structures.md
+++ b/docs/api_reference/response_structures.md
@@ -6,4 +6,4 @@
             - "ValidationResult"
             - "PassResult"
             - "FailResult"
-            - "ValidatorError"
+            - "ValidationError"
diff --git a/docs/cli.md b/docs/cli.md
index a3d256d8b..0e8615c36 100644
--- a/docs/cli.md
+++ b/docs/cli.md
@@ -7,4 +7,17 @@ Guardrails can be used from the command line to validate the output of an LLM. C
 
 ```bash
 guardrails validate <path to rail spec> <llm output as string> --out <output path for validated JSON>
-```
\ No newline at end of file
+```
+
+## Validator Hub
+In addition to providing a command line interface for validation, the guardrails cli also supports interacting with the Validator Hub.
+
+### Configuration
+In order to access any Validators from the Hub that require authentication, you will need to set up your environment through the `guardrails configure` command.  Before running `guardrails configure`, go to the [Validator Hub]() to generate your access tokens.  [Add more detail on this process].
+
+Once you have your tokens, run `guardrails configure` and enter the client id and client secret you retrieved above.
+
+Also, if you want to opt out of anonymous metrics collection, you can do this now by specifying `--no-metrics=true`.
+
+### Installing Validators
+In order to install a validator from the hub, you can find its identifier on its respective page in the [Validator Hub]().  This identifier is shaped as a namespace and a name: `{namespace}/{validator_name}`.  Once you have this you can go to any project where you have guardrails installed and run `guardrails hub install hub://{namespace}/{validator_name}`.
\ No newline at end of file
diff --git a/docs/examples/input_validation.ipynb b/docs/examples/input_validation.ipynb
index d3e23fbb7..7432bde23 100644
--- a/docs/examples/input_validation.ipynb
+++ b/docs/examples/input_validation.ipynb
@@ -47,7 +47,7 @@
    "source": [
     "When `fix` is specified as the on-fail handler, the prompt will automatically be amended before calling the LLM.\n",
     "\n",
-    "In any other case (for example, `exception`), a `ValidatorError` will be returned in the outcome."
+    "In any other case (for example, `exception`), a `ValidationError` will be returned in the outcome."
    ]
   },
   {
@@ -67,13 +67,13 @@
    ],
    "source": [
     "import openai\n",
-    "from guardrails.errors import ValidatorError\n",
+    "from guardrails.errors import ValidationError\n",
     "\n",
     "try:\n",
     "    guard(\n",
     "        openai.chat.completions.create,\n",
     "    )\n",
-    "except ValidatorError as e:\n",
+    "except ValidationError as e:\n",
     "    print(e)"
    ]
   },
@@ -115,7 +115,7 @@
     "        openai.chat.completions.create,\n",
     "        prompt=\"This is not two words\",\n",
     "    )\n",
-    "except ValidatorError as e:\n",
+    "except ValidationError as e:\n",
     "    print(e)"
    ]
   }
@@ -136,7 +136,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/examples/response_is_on_topic.ipynb b/docs/examples/response_is_on_topic.ipynb
index d876108fc..c6337fd4a 100644
--- a/docs/examples/response_is_on_topic.ipynb
+++ b/docs/examples/response_is_on_topic.ipynb
@@ -137,7 +137,7 @@
    "source": [
     "import guardrails as gd\n",
     "from guardrails.validators import OnTopic\n",
-    "from guardrails.errors import ValidatorError\n",
+    "from guardrails.errors import ValidationError\n",
     "\n",
     "# Create the Guard with the OnTopic Validator\n",
     "guard = gd.Guard.from_string(\n",
@@ -159,7 +159,7 @@
     "    guard.parse(\n",
     "        llm_output=text,\n",
     "    )\n",
-    "except ValidatorError as e:\n",
+    "except ValidationError as e:\n",
     "    print(e)\n"
    ]
   },
@@ -205,7 +205,7 @@
     "    guard.parse(\n",
     "        llm_output=text,\n",
     "    )\n",
-    "except ValidatorError as e:\n",
+    "except ValidationError as e:\n",
     "    print(e)"
    ]
   },
@@ -258,7 +258,7 @@
     "    guard.parse(\n",
     "        llm_output=text,\n",
     "    )\n",
-    "except ValidatorError as e:\n",
+    "except ValidationError as e:\n",
     "    print(e)"
    ]
   }
@@ -279,7 +279,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.11.7"
   }
  },
  "nbformat": 4,
diff --git a/docs/telemetry.md b/docs/telemetry.md
new file mode 100644
index 000000000..1dcfa2477
--- /dev/null
+++ b/docs/telemetry.md
@@ -0,0 +1,5 @@
+1. Go to grafana
+2. search for opentelemetry in data sources
+3. Create a token, paste in the resulting file to otel-collector-config.yml
+4. docker-compose up -f telemetry/docker-compose.yml up
+5. run a guard and look for traces
\ No newline at end of file
diff --git a/guardrails/classes/__init__.py b/guardrails/classes/__init__.py
index 4cf6f9680..066311801 100644
--- a/guardrails/classes/__init__.py
+++ b/guardrails/classes/__init__.py
@@ -1,4 +1,6 @@
+from guardrails.classes.credentials import Credentials
+from guardrails.classes.input_type import InputType
 from guardrails.classes.output_type import OT
 from guardrails.classes.validation_outcome import ValidationOutcome
 
-__all__ = ["ValidationOutcome", "OT"]
+__all__ = ["ValidationOutcome", "OT", "InputType", "Credentials"]
diff --git a/guardrails/classes/credentials.py b/guardrails/classes/credentials.py
new file mode 100644
index 000000000..990fd05c6
--- /dev/null
+++ b/guardrails/classes/credentials.py
@@ -0,0 +1,31 @@
+import os
+from dataclasses import dataclass
+from os.path import expanduser
+from typing import Optional
+
+from guardrails.classes.generic.serializeable import Serializeable
+
+
+@dataclass
+class Credentials(Serializeable):
+    id: Optional[str] = None
+    client_id: Optional[str] = None
+    client_secret: Optional[str] = None
+    no_metrics: Optional[bool] = False
+
+    @staticmethod
+    def from_rc_file() -> "Credentials":
+        try:
+            home = expanduser("~")
+            guardrails_rc = os.path.join(home, ".guardrailsrc")
+            with open(guardrails_rc) as rc_file:
+                lines = rc_file.readlines()
+                creds = {}
+                for line in lines:
+                    key, value = line.split("=", 1)
+                    creds[key.strip()] = value.strip()
+                rc_file.close()
+                return Credentials.from_dict(creds)
+
+        except FileNotFoundError:
+            return Credentials.from_dict({})  # type: ignore
diff --git a/guardrails/classes/generic/__init__.py b/guardrails/classes/generic/__init__.py
index 23db25f96..fd1909521 100644
--- a/guardrails/classes/generic/__init__.py
+++ b/guardrails/classes/generic/__init__.py
@@ -1,3 +1,4 @@
+from guardrails.classes.generic.serializeable import Serializeable
 from guardrails.classes.generic.stack import Stack
 
-__all__ = ["Stack"]
+__all__ = ["Stack", "Serializeable"]
diff --git a/guardrails/classes/generic/serializeable.py b/guardrails/classes/generic/serializeable.py
new file mode 100644
index 000000000..888f7267d
--- /dev/null
+++ b/guardrails/classes/generic/serializeable.py
@@ -0,0 +1,52 @@
+import inspect
+import json
+import sys
+from dataclasses import InitVar, asdict, dataclass, field, is_dataclass
+from json import JSONEncoder
+from typing import Any, Dict
+
+from pydash.strings import snake_case
+
+
+def get_annotations(obj):
+    if sys.version_info.minor >= 10 and hasattr(inspect, "get_annotations"):
+        return inspect.get_annotations(obj)  # type: ignore
+    else:
+        return obj.__annotations__
+
+
+class SerializeableJSONEncoder(JSONEncoder):
+    def default(self, o):
+        if is_dataclass(o):
+            return asdict(o)
+        return super().default(o)
+
+
+encoder_kwargs = {}
+if sys.version_info.minor >= 10:
+    encoder_kwargs["kw_only"] = True
+    encoder_kwargs["default"] = SerializeableJSONEncoder
+
+
+@dataclass
+class Serializeable:
+    encoder: InitVar[JSONEncoder] = field(**encoder_kwargs)
+
+    @classmethod
+    def from_dict(cls, data: Dict[str, Any]):
+        annotations = get_annotations(cls)
+        attributes = dict.keys(annotations)
+        snake_case_kwargs = {
+            snake_case(k): data.get(k) for k in data if snake_case(k) in attributes
+        }
+        snake_case_kwargs["encoder"] = snake_case_kwargs.get(
+            "encoder", SerializeableJSONEncoder
+        )
+        return cls(**snake_case_kwargs)  # type: ignore
+
+    @property
+    def __dict__(self) -> Dict[str, Any]:
+        return asdict(self)
+
+    def to_json(self):
+        return json.dumps(self, cls=self.encoder)  # type: ignore
diff --git a/guardrails/classes/generic/stack.py b/guardrails/classes/generic/stack.py
index 431f938fb..550896603 100644
--- a/guardrails/classes/generic/stack.py
+++ b/guardrails/classes/generic/stack.py
@@ -49,7 +49,7 @@ def search(self, x: T) -> Optional[int]:
         except ValueError:
             pass
 
-    def at(self, index: int) -> Optional[T]:
+    def at(self, index: int, default: Optional[T] = None) -> Optional[T]:
         """Returns the item located at the index.
 
         If the index does not exist in the stack (Overflow or
@@ -59,7 +59,7 @@ def at(self, index: int) -> Optional[T]:
             value = self[index]
             return value
         except IndexError:
-            pass
+            return default
 
     def copy(self) -> "Stack[T]":
         """Returns a copy of the current Stack."""
diff --git a/guardrails/classes/history/call.py b/guardrails/classes/history/call.py
index 39bc07ab7..9cf20f405 100644
--- a/guardrails/classes/history/call.py
+++ b/guardrails/classes/history/call.py
@@ -19,7 +19,7 @@
     sub_reasks_with_fixed_values,
 )
 from guardrails.utils.safe_get import get_value_from_path
-from guardrails.validator_base import Refrain
+from guardrails.validator_base import Filter, Refrain
 
 
 # We can't inherit from Iteration because python
@@ -315,8 +315,13 @@ def _has_unresolved_failures(self) -> bool:
         output = self.fixed_output
         for failure in self.failed_validations:
             value = get_value_from_path(output, failure.property_path)
-            if value == failure.value_before_validation or isinstance(
-                failure.value_after_validation, Refrain
+            if (
+                # NOTE: this means on_fail="fix" was applied
+                #       to a Validator without a programmatic fix.
+                (value is None and failure.value_before_validation is not None)
+                or value == failure.value_before_validation
+                or isinstance(failure.value_after_validation, Refrain)
+                or isinstance(failure.value_after_validation, Filter)
             ):
                 return True
 
diff --git a/guardrails/classes/input_type.py b/guardrails/classes/input_type.py
new file mode 100644
index 000000000..f29368bf8
--- /dev/null
+++ b/guardrails/classes/input_type.py
@@ -0,0 +1,5 @@
+from typing import TypeVar
+
+from langchain_core.messages import BaseMessage
+
+InputType = TypeVar("InputType", str, BaseMessage)
diff --git a/guardrails/cli/__init__.py b/guardrails/cli/__init__.py
new file mode 100644
index 000000000..f1b21618b
--- /dev/null
+++ b/guardrails/cli/__init__.py
@@ -0,0 +1,12 @@
+import guardrails.cli.configure  # noqa
+import guardrails.cli.validate  # noqa
+from guardrails.cli.guardrails import guardrails as cli
+from guardrails.cli.hub import hub_command
+
+cli.add_typer(
+    hub_command, name="hub", help="Manage validators installed from the Guardrails Hub."
+)
+
+
+if __name__ == "__main__":
+    cli()
diff --git a/guardrails/cli/configure.py b/guardrails/cli/configure.py
new file mode 100644
index 000000000..4cda36552
--- /dev/null
+++ b/guardrails/cli/configure.py
@@ -0,0 +1,86 @@
+import os
+import sys
+import uuid
+from os.path import expanduser
+from typing import Optional
+
+import typer
+
+from guardrails.cli.guardrails import guardrails
+from guardrails.cli.logger import LEVELS, logger
+from guardrails.cli.server.hub_client import AuthenticationError, get_auth
+
+
+def save_configuration_file(
+    client_id: str, client_secret: str, no_metrics: bool
+) -> None:
+    home = expanduser("~")
+    guardrails_rc = os.path.join(home, ".guardrailsrc")
+    with open(guardrails_rc, "w") as rc_file:
+        lines = [
+            f"id={str(uuid.uuid4())}{os.linesep}",
+            f"client_id={client_id}{os.linesep}",
+            f"client_secret={client_secret}{os.linesep}",
+            f"no_metrics={str(no_metrics).lower()}{os.linesep}",
+        ]
+        rc_file.writelines(lines)
+        rc_file.close()
+
+
+@guardrails.command()
+def configure(
+    client_id: Optional[str] = typer.Option(
+        help="Your Guardrails Hub client ID.", default=""
+    ),
+    client_secret: Optional[str] = typer.Option(
+        help="Your Guardrails Hub client secret.", hide_input=True, default=""
+    ),
+    no_metrics: Optional[str] = typer.Option(
+        help="Opt out of anonymous metrics collection.", default=False
+    ),
+):
+    """Set the global configuration for the Guardrails CLI and Hub."""
+    try:
+        notice_message = """
+
+    You can find your tokens at https://hub.guardrailsai.com/tokens
+    """
+        logger.log(level=LEVELS.get("NOTICE"), msg=notice_message)  # type: ignore
+        if not client_id:
+            client_id = typer.prompt("Client ID")
+        if not client_secret:
+            client_secret = typer.prompt("Client secret", hide_input=True)
+        logger.info("Configuring...")
+        save_configuration_file(client_id, client_secret, no_metrics)  # type: ignore
+
+        logger.info("Validating credentials...")
+        get_auth()
+        success_message = """
+
+    Login successful.
+
+    Get started by installing our RegexMatch validator:
+    https://hub.guardrailsai.com/validator/guardrails_ai/regex_match
+
+    You can install it by running:
+    guardrails hub install hub://guardrails/regex_match
+
+    Find more validators at https://hub.guardrailsai.com
+    """
+        logger.log(level=LEVELS.get("SUCCESS"), msg=success_message)  # type: ignore
+    except AuthenticationError as auth_error:
+        logger.error(auth_error)
+        logger.error(
+            """
+            Check that your Client ID and Client secret are correct and try again.
+
+            If you don't have your token credentials you can find them here:
+
+            https://hub.guardrailsai.com/tokens
+            """
+        )
+        sys.exit(1)
+    except Exception as e:
+        logger.error("An unexpected error occurred!")
+        logger.error(e)
+        sys.exit(1)
diff --git a/guardrails/cli/guardrails.py b/guardrails/cli/guardrails.py
new file mode 100644
index 000000000..ee750dfc0
--- /dev/null
+++ b/guardrails/cli/guardrails.py
@@ -0,0 +1,3 @@
+import typer
+
+guardrails = typer.Typer()
diff --git a/guardrails/cli/hub/__init__.py b/guardrails/cli/hub/__init__.py
new file mode 100644
index 000000000..6b6d88ee6
--- /dev/null
+++ b/guardrails/cli/hub/__init__.py
@@ -0,0 +1,4 @@
+import guardrails.cli.hub.create_validator  # noqa
+import guardrails.cli.hub.install  # noqa
+import guardrails.cli.hub.submit  # noqa
+from guardrails.cli.hub.hub import hub_command  # noqa
diff --git a/guardrails/cli/hub/create_validator.py b/guardrails/cli/hub/create_validator.py
new file mode 100644
index 000000000..cf6d56848
--- /dev/null
+++ b/guardrails/cli/hub/create_validator.py
@@ -0,0 +1,203 @@
+import os
+from datetime import date
+from string import Template
+
+import typer
+from pydash import pascal_case, snake_case
+
+from guardrails.cli.hub.hub import hub_command
+from guardrails.cli.logger import LEVELS, logger
+
+validator_template = Template(
+    """
+\"""
+This template is intended for creating simple validators.
+
+If your validator is complex or requires additional post-installation steps, consider using the template repository instead.
+
+The template repository can be found here: https://github.com/guardrails-ai/validator-template
+\"""
+    
+from typing import Any, Callable, Dict, Optional
+
+from guardrails.validator_base import (
+    FailResult,
+    PassResult,
+    ValidationResult,
+    Validator,
+    register_validator,
+)
+
+
+@register_validator(name="guardrails/${package_name}", data_type="string")
+class ${class_name}(Validator):
+    # FIXME: Update the class docstring to reflect the purpose and usage of your validator.
+    \"""# Overview
+
+    | Developed by | {FIXME: Your organization name} |
+    | Date of development | ${dev_date} |
+    | Validator type | Format |
+    | License | Apache 2 |
+    | Input/Output | Output |
+
+    # Description
+    {FIXME: A brief description of what your validator does.}
+    
+    ## (Optional) Intended Use
+    {FIXME: Optionally, include a brief description of the intended use of your validator, including any limitations or constraints.}
+
+    ## Requirements
+
+    * Dependencies:
+        - guardrails-ai>=0.4.0
+        - {FIXME: Include any other dependencies you need here}
+
+    * Dev Dependencies:
+        - pytest
+        - pyright
+        - ruff
+        - {FIXME: Include any other dev dependencies you need here}
+
+    * Foundation model access keys:
+        - {FIXME: Include any access environment variables you need here like OPENAI_API_KEY}
+
+
+    # Installation
+
+    ```bash
+    $ guardrails hub install hub://guardrails/${package_name}
+    ```
+
+    # Usage Examples
+
+    ## Validating string output via Python
+
+    In this example, we apply the validator to a string output generated by an LLM.
+
+    ```python
+    # Import Guard and Validator
+    from guardrails.hub import ${class_name}
+    from guardrails import Guard
+
+    # Setup Guard
+    guard = Guard.use(
+        ${class_name}({FIXME: list any args here})
+    )
+
+    guard.validate({FIXME: Add an input that should pass the validator})  # Validator passes
+    guard.validate({FIXME: Add an input that should fail the validator})  # Validator fails
+    ```
+    \"""  # noqa
+
+    # If you don't have any init args, you can omit the __init__ method.
+    def __init__(
+        self,
+        arg_1: str, # FIXME: Replace with your custom init args.
+        on_fail: Optional[Callable] = None,
+    ):
+        \"""Initializes a new instance of the ${class_name} class.
+        
+        Args:
+            arg_1 (str): FIXME: Describe the purpose of this argument.
+            on_fail`** *(str, Callable)*: The policy to enact when a validator fails.  If `str`, must be one of `reask`, `fix`, `filter`, `refrain`, `noop`, `exception` or `fix_reask`. Otherwise, must be a function that is called when the validator fails.
+        \"""
+        super().__init__(on_fail=on_fail, arg_1=arg_1)
+        self._arg_1 = arg_1
+
+    def validate(self, value: Any, metadata: Dict) -> ValidationResult:
+        \"""Validates that {fill in how you validator interacts with the passed value}.
+        
+        Args:
+            value (Any): The value to validate.
+            metadata (Dict): The metadata to validate against.
+
+            FIXME: Add any additional args you need here in metadata.
+            | Key | Description |
+            | --- | --- |
+            | a | b |
+        \"""
+        
+        # Add your custom validator logic here and return a PassResult or FailResult accordingly.
+        if value != "pass": # FIXME
+            return FailResult(
+                error_message="{FIXME: A descriptive but concise error message about why validation failed}",
+                fix_value="{FIXME: The programmtic fix if applicable, otherwise remove this kwarg.}",
+            )
+        return PassResult()
+
+
+# Run tests via `pytest -rP ${filepath}`
+class Test${class_name}:
+    def test_success_case(self):
+        # FIXME: Replace with your custom test logic for the success case.
+        validator = ${class_name}("s")
+        result = validator.validate("pass", {})
+        assert isinstance(result, PassResult) is True
+
+    def test_failure_case(self):
+        # FIXME: Replace with your custom test logic for the failure case.
+        validator = ${class_name}("s")
+        result = validator.validate("fail", {})
+        assert isinstance(result, FailResult) is True
+        assert result.error_message == "{A descriptive but concise error message about why validation failed}"
+        assert result.fix_value == "fails"
+"""
+)
+
+
+@hub_command.command(name="create-validator")
+def create_validator(
+    name: str = typer.Argument(help="The name for your validator."),
+    filepath: str = typer.Argument(
+        help="The location to write your validator template to",
+        default="./{validator_name}.py",
+    ),
+):
+    """Lightweight method for creating simple validators.
+
+    For more complex submissions see here:
+    https://github.com/guardrails-ai/validator-template?tab=readme-ov-file#how-to-create-a-guardrails-validator
+    """
+    disclaimer = """
+
+    This utility is intended for creating simple validators.
+
+    If your validator is complex or requires additional post-installation steps,\
+        consider using the template repository instead.
+
+    The template repository can be found here:\
+        https://github.com/guardrails-ai/validator-template
+    """
+
+    logger.log(level=LEVELS.get("NOTICE") or 0, msg=disclaimer)
+
+    package_name = snake_case(name)
+    class_name = pascal_case(name)
+    if not filepath or filepath == "./{validator_name}.py":
+        filepath = f"./{package_name}.py"
+
+    template = validator_template.safe_substitute(
+        {
+            "package_name": package_name,
+            "class_name": class_name,
+            "filepath": filepath,
+            "dev_date": date.today().strftime("%b %d, %Y"),
+        }
+    )
+
+    target = os.path.abspath(filepath)
+    with open(target, "w") as validator_file:
+        validator_file.write(template)
+        validator_file.close()
+
+    success_message = Template(
+        """
+
+    Successfully created validator template at ${filepath}!
+
+    Make any necessary changes then submit for review with the following command:
+
+    guardrails hub submit ${package_name} ${filepath}
+    """
+    ).safe_substitute({"filepath": filepath, "package_name": package_name})
+    logger.log(level=LEVELS.get("SUCCESS"), msg=success_message)  # type: ignore
diff --git a/guardrails/cli/hub/hub.py b/guardrails/cli/hub/hub.py
new file mode 100644
index 000000000..5f857c72a
--- /dev/null
+++ b/guardrails/cli/hub/hub.py
@@ -0,0 +1,3 @@
+import typer
+
+hub_command = typer.Typer()
diff --git a/guardrails/cli/hub/install.py b/guardrails/cli/hub/install.py
new file mode 100644
index 000000000..e65cce4f6
--- /dev/null
+++ b/guardrails/cli/hub/install.py
@@ -0,0 +1,252 @@
+import json
+import os
+import subprocess
+import sys
+from email.parser import BytesHeaderParser
+from string import Template
+from typing import List, Literal, Union
+
+import typer
+from pydash.strings import snake_case
+
+from guardrails.classes.generic import Stack
+from guardrails.cli.hub.hub import hub_command
+from guardrails.cli.logger import LEVELS, logger
+from guardrails.cli.server.hub_client import get_validator_manifest
+from guardrails.cli.server.module_manifest import ModuleManifest
+
+
+def removesuffix(string: str, suffix: str) -> str:
+    if sys.version_info.minor >= 9:
+        return string.removesuffix(suffix)  # type: ignore
+    else:
+        if string.endswith(suffix):
+            return string[: -len(suffix)]
+        return string
+
+
+string_format: Literal["string"] = "string"
+json_format: Literal["json"] = "json"
+
+
+def pip_process(
+    action: str,
+    package: str = "",
+    flags: List[str] = [],
+    format: Union[Literal["string"], Literal["json"]] = string_format,
+):
+    try:
+        logger.debug(f"running pip {action} {' '.join(flags)} {package}")
+        command = [sys.executable, "-m", "pip", action]
+        command.extend(flags)
+        if package:
+            command.append(package)
+        output = subprocess.check_output(command)
+        logger.debug(f"decoding output from pip {action} {package}")
+        if format == json_format:
+            return BytesHeaderParser().parsebytes(output)
+        return str(output.decode())
+    except subprocess.CalledProcessError as exc:
+        logger.error(
+            (
+                f"Failed to {action} {package}\n"
+                f"Exit code: {exc.returncode}\n"
+                f"stdout: {exc.output}"
+            )
+        )
+        sys.exit(1)
+    except Exception as e:
+        logger.error(
+            f"An unexpected exception occurred while try to {action} {package}!",
+            e,
+        )
+        sys.exit(1)
+
+
+def get_site_packages_location():
+    output = pip_process("show", "pip", format=json_format)
+    pip_location = output["Location"]  # type: ignore
+    return pip_location
+
+
+def get_org_and_package_dirs(manifest: ModuleManifest) -> List[str]:
+    org_name = manifest.namespace
+    package_name = manifest.package_name
+    org = snake_case(org_name if len(org_name) > 1 else "")
+    package = snake_case(package_name if len(package_name) > 1 else package_name)
+    return list(filter(None, [org, package]))
+
+
+def get_hub_directory(manifest: ModuleManifest, site_packages: str) -> str:
+    org_package = get_org_and_package_dirs(manifest)
+    return os.path.join(site_packages, "guardrails", "hub", *org_package)
+
+
+# NOTE: I don't like this but don't see another way without
+#  shimming the init file with all hub validators
+def add_to_hub_inits(manifest: ModuleManifest, site_packages: str):
+    org_package = get_org_and_package_dirs(manifest)
+    exports: List[str] = manifest.exports or []
+    sorted_exports = sorted(exports, reverse=True)
+    module_name = manifest.module_name
+    relative_path = ".".join([*org_package, module_name])
+    import_line = (
+        f"from guardrails.hub.{relative_path} import {', '.join(sorted_exports)}"
+    )
+
+    hub_init_location = os.path.join(site_packages, "guardrails", "hub", "__init__.py")
+    with open(hub_init_location, "a+") as hub_init:
+        hub_init.seek(0, 0)
+        content = hub_init.read()
+        if import_line in content:
+            hub_init.close()
+        else:
+            hub_init.seek(0, 2)
+            if len(content) > 0:
+                hub_init.write("\n")
+            hub_init.write(import_line)
+            hub_init.close()
+
+    namespace = org_package[0]
+    namespace_init_location = os.path.join(
+        site_packages, "guardrails", "hub", namespace, "__init__.py"
+    )
+    if os.path.isfile(namespace_init_location):
+        with open(namespace_init_location, "a+") as namespace_init:
+            namespace_init.seek(0, 0)
+            content = namespace_init.read()
+            if import_line in content:
+                namespace_init.close()
+            else:
+                namespace_init.seek(0, 2)
+                if len(content) > 0:
+                    namespace_init.write("\n")
+                namespace_init.write(import_line)
+                namespace_init.close()
+    else:
+        with open(namespace_init_location, "w") as namespace_init:
+            namespace_init.write(import_line)
+            namespace_init.close()
+
+
+def run_post_install(manifest: ModuleManifest, site_packages: str):
+    org_package = get_org_and_package_dirs(manifest)
+    post_install_script = manifest.post_install
+
+    if not post_install_script:
+        return
+
+    module_name = manifest.module_name
+    relative_path = os.path.join(
+        site_packages,
+        "guardrails",
+        "hub",
+        *org_package,
+        module_name,
+        post_install_script,
+    )
+
+    if os.path.isfile(relative_path):
+        try:
+            logger.debug("running post install script...")
+            command = [sys.executable, relative_path]
+            subprocess.check_output(command)
+        except subprocess.CalledProcessError as exc:
+            logger.error(
+                (
+                    f"Failed to run post install script for {manifest.id}\n"
+                    f"Exit code: {exc.returncode}\n"
+                    f"stdout: {exc.output}"
+                )
+            )
+            sys.exit(1)
+        except Exception as e:
+            logger.error(
+                f"An unexpected exception occurred while running the post install script for {manifest.id}!",  # noqa
+                e,
+            )
+            sys.exit(1)
+
+
+def get_install_url(manifest: ModuleManifest) -> str:
+    repo = manifest.repository
+    repo_url = repo.url
+    branch = repo.branch
+
+    git_url = repo_url
+    if not repo_url.startswith("git+"):
+        git_url = f"git+{repo_url}"
+
+    if branch is not None:
+        git_url = f"{git_url}@{branch}"
+
+    return git_url
+
+
+def install_hub_module(module_manifest: ModuleManifest, site_packages: str):
+    install_url = get_install_url(module_manifest)
+    install_directory = get_hub_directory(module_manifest, site_packages)
+
+    # Install validator module in namespaced directory under guardrails.hub
+    download_output = pip_process(
+        "install", install_url, [f"--target={install_directory}", "--no-deps"]
+    )
+    logger.info(download_output)
+
+    # Install validator module's dependencies in normal site-packages directory
+    inspect_output = pip_process(
+        "inspect", flags=[f"--path={install_directory}"], format=json_format
+    )
+    inspection: dict = json.loads(str(inspect_output))
+    dependencies = (
+        Stack(*inspection.get("installed", []))
+        .at(0, {})
+        .get("metadata", {})  # type: ignore
+        .get("requires_dist", [])  # type: ignore
+    )
+    requirements = filter(lambda dep: "extra" not in dep, dependencies)
+    for req in requirements:
+        req_info = Stack(*req.split(" "))
+        name = req_info.at(0, "").strip()  # type: ignore
+        versions = req_info.at(1, "").strip("()")  # type: ignore
+        if name:
+            install_spec = name if not versions else f"{name}{versions}"
+            dep_install_output = pip_process("install", install_spec)
+            logger.info(dep_install_output)
+
+
+@hub_command.command()
+def install(
+    package_uri: str = typer.Argument(
+        help="URI to the package to install. Example: hub://guardrails/regex_match."
+    ),
+):
+    """Install a validator from the Hub."""
+    if not package_uri.startswith("hub://"):
+        logger.error("Invalid URI!")
+        sys.exit(1)
+    logger.log(
+        level=LEVELS.get("NOTICE"), msg=f"Installing {package_uri}..."  # type: ignore
+    )
+    # Validation
+    module_name = package_uri.replace("hub://", "")
+
+    # Prep
+    module_manifest = get_validator_manifest(module_name)
+    site_packages = get_site_packages_location()
+
+    # Install
+    install_hub_module(module_manifest, site_packages)
+
+    # Post-install
+    run_post_install(module_manifest, site_packages)
+    add_to_hub_inits(module_manifest, site_packages)
+    success_message = Template(
+        """
+
+    Successfully installed ${module_name}!
+
+    See how to use it here: https://hub.guardrailsai.com/validator/${id}
+    """
+    ).safe_substitute(module_name=module_name, id=module_manifest.id)
+    logger.log(level=LEVELS.get("SUCCESS"), msg=success_message)  # type: ignore
diff --git a/guardrails/cli/hub/submit.py b/guardrails/cli/hub/submit.py
new file mode 100644
index 000000000..429fd2d99
--- /dev/null
+++ b/guardrails/cli/hub/submit.py
@@ -0,0 +1,53 @@
+import os
+import sys
+from string import Template
+
+import typer
+from pydash import snake_case
+
+from guardrails.cli.hub.hub import hub_command
+from guardrails.cli.logger import LEVELS, logger
+from guardrails.cli.server.hub_client import HttpError, post_validator_submit
+
+
+@hub_command.command(name="submit")
+def submit(
+    package_name: str = typer.Argument(help="The package name for your validator."),
+    filepath: str = typer.Argument(
+        help="The location to your validator file.", default="./{package_name}.py"
+    ),
+):
+    """Submit a validator to the Guardrails AI team for review and
+    publishing."""
+    try:
+        if not filepath or filepath == "./{validator_name}.py":
+            filepath = f"./{package_name}.py"
+
+        target = os.path.abspath(filepath)
+        with open(target, "r") as validator_file:
+            content = validator_file.read()
+
+            post_validator_submit(package_name, content)
+
+            validator_file.close()
+
+        success_message = Template(
+            """
+
+        Successfully submitted validator!
+
+        Once your submission is reviewed and published you will be able to install it via:
+
+        guardrails hub install hub://guardrails/${package_name}
+
+        The Guardrails AI team will be in touch with you soon regarding the status of your submission.
+        """  # noqa
+        ).safe_substitute({"package_name": snake_case(package_name)})
+        logger.log(level=LEVELS.get("SUCCESS"), msg=success_message)  # type: ignore
+
+    except HttpError:
+        logger.error(f"Failed to submit {package_name}!")
+        sys.exit(1)
+    except Exception as e:
+        logger.error("An unexpected error occurred!", e)
+        sys.exit(1)
diff --git a/guardrails/cli/logger.py b/guardrails/cli/logger.py
new file mode 100644
index 000000000..d29662acc
--- /dev/null
+++ b/guardrails/cli/logger.py
@@ -0,0 +1,20 @@
+import logging
+import os
+
+import coloredlogs
+
+os.environ[
+    "COLOREDLOGS_LEVEL_STYLES"
+] = "spam=white,faint;success=green,bold;debug=magenta;verbose=blue;notice=cyan,bold;warning=yellow;error=red;critical=background=red"  # noqa
+LEVELS = {
+    "SPAM": 5,
+    "VERBOSE": 15,
+    "NOTICE": 25,
+    "SUCCESS": 35,
+}
+for key in LEVELS:
+    logging.addLevelName(LEVELS.get(key), key)  # type: ignore
+
+
+logger = logging.getLogger("guardrails-cli")
+coloredlogs.install(level="DEBUG", logger=logger)
diff --git a/guardrails/cli/server/__init__.py b/guardrails/cli/server/__init__.py
new file mode 100644
index 000000000..02baf8cdd
--- /dev/null
+++ b/guardrails/cli/server/__init__.py
@@ -0,0 +1,1 @@
+# Everthing in this module should be moved to a proxy server
diff --git a/guardrails/cli/server/auth.py b/guardrails/cli/server/auth.py
new file mode 100644
index 000000000..1d94ba9a6
--- /dev/null
+++ b/guardrails/cli/server/auth.py
@@ -0,0 +1,25 @@
+import http.client
+import json
+
+from guardrails.classes.credentials import Credentials
+
+
+def get_auth_token(creds: Credentials) -> str:
+    if creds.client_id and creds.client_secret:
+        audience = "https://validator-hub-service.guardrailsai.com"
+        conn = http.client.HTTPSConnection("guardrailsai.us.auth0.com")
+        payload = json.dumps(
+            {
+                "client_id": creds.client_id,
+                "client_secret": creds.client_secret,
+                "audience": audience,
+                "grant_type": "client_credentials",
+            }
+        )
+        headers = {"content-type": "application/json"}
+        conn.request("POST", "/oauth/token", payload, headers)
+
+        res = conn.getresponse()
+        data = json.loads(res.read().decode("utf-8"))
+        return data.get("access_token", "")
+    return ""
diff --git a/guardrails/cli/server/hub_client.py b/guardrails/cli/server/hub_client.py
new file mode 100644
index 000000000..0b65110ed
--- /dev/null
+++ b/guardrails/cli/server/hub_client.py
@@ -0,0 +1,132 @@
+import sys
+from string import Template
+from typing import Any, Dict, Optional
+
+import requests
+
+from guardrails.classes.credentials import Credentials
+from guardrails.cli.logger import logger
+from guardrails.cli.server.auth import get_auth_token
+from guardrails.cli.server.module_manifest import ModuleManifest
+
+validator_hub_service = "https://so4sg4q4pb.execute-api.us-east-1.amazonaws.com"
+validator_manifest_endpoint = Template(
+    "validator-manifests/${namespace}/${validator_name}"
+)
+
+
+class AuthenticationError(Exception):
+    pass
+
+
+class HttpError(Exception):
+    status: int
+    message: str
+
+
+def fetch(url: str, token: Optional[str], anonymousUserId: Optional[str]):
+    try:
+        # For Debugging
+        # headers = { "Authorization": f"Bearer {token}", "x-anonymous-user-id": anonymousUserId, "Cache-Control": "no-cache" }  # noqa
+        headers = {
+            "Authorization": f"Bearer {token}",
+            "x-anonymous-user-id": anonymousUserId,
+        }
+        req = requests.get(url, headers=headers)
+        body = req.json()
+
+        if not req.ok:
+            logger.error(req.status_code)
+            logger.error(body.get("message"))
+            http_error = HttpError()
+            http_error.status = req.status_code
+            http_error.message = body.get("message")
+            raise http_error
+
+        return body
+    except HttpError as http_e:
+        raise http_e
+    except Exception as e:
+        logger.error("An unexpected error occurred!", e)
+        sys.exit(1)
+
+
+def fetch_module_manifest(
+    module_name: str, token: str, anonymousUserId: Optional[str] = None
+) -> Dict[str, Any]:
+    namespace, validator_name = module_name.split("/", 1)
+    manifest_path = validator_manifest_endpoint.safe_substitute(
+        namespace=namespace, validator_name=validator_name
+    )
+    manifest_url = f"{validator_hub_service}/{manifest_path}"
+    return fetch(manifest_url, token, anonymousUserId)
+
+
+def fetch_module(module_name: str) -> ModuleManifest:
+    creds = Credentials.from_rc_file()
+    token = get_auth_token(creds)
+
+    module_manifest_json = fetch_module_manifest(module_name, token, creds.id)
+    return ModuleManifest.from_dict(module_manifest_json)
+
+
+# GET /validator-manifests/{namespace}/{validatorName}
+def get_validator_manifest(module_name: str):
+    try:
+        module_manifest = fetch_module(module_name)
+        if not module_manifest:
+            logger.error(f"Failed to install hub://{module_name}")
+            sys.exit(1)
+        return module_manifest
+    except HttpError:
+        logger.error(f"Failed to install hub://{module_name}")
+        sys.exit(1)
+    except Exception as e:
+        logger.error("An unexpected error occurred!", e)
+        sys.exit(1)
+
+
+# GET /auth
+def get_auth():
+    try:
+        creds = Credentials.from_rc_file()
+        token = get_auth_token(creds)
+        auth_url = f"{validator_hub_service}/auth"
+        response = fetch(auth_url, token, creds.id)
+        if not response:
+            raise AuthenticationError("Failed to authenticate!")
+    except HttpError as http_error:
+        logger.error(http_error)
+        raise AuthenticationError("Failed to authenticate!")
+    except Exception as e:
+        logger.error("An unexpected error occurred!", e)
+        raise AuthenticationError("Failed to authenticate!")
+
+
+def post_validator_submit(package_name: str, content: str):
+    try:
+        creds = Credentials.from_rc_file()
+        token = get_auth_token(creds)
+        submission_url = f"{validator_hub_service}/validator/submit"
+
+        headers = {
+            "Authorization": f"Bearer {token}",
+        }
+        request_body = {"packageName": package_name, "content": content}
+        req = requests.post(submission_url, data=request_body, headers=headers)
+
+        body = req.json()
+        if not req.ok:
+            logger.error(req.status_code)
+            logger.error(body.get("message"))
+            http_error = HttpError()
+            http_error.status = req.status_code
+            http_error.message = body.get("message")
+            raise http_error
+
+        return body
+    except HttpError as http_e:
+        raise http_e
+    except Exception as e:
+        logger.error("An unexpected error occurred!", e)
+        sys.exit(1)
diff --git a/guardrails/cli/server/module_manifest.py b/guardrails/cli/server/module_manifest.py
new file mode 100644
index 000000000..454d718a8
--- /dev/null
+++ b/guardrails/cli/server/module_manifest.py
@@ -0,0 +1,62 @@
+from dataclasses import dataclass, field
+from typing import Any, Dict, List, Optional
+
+from pydash.strings import snake_case
+
+from guardrails.classes.generic.serializeable import (
+    Serializeable,
+    SerializeableJSONEncoder,
+)
+
+
+@dataclass
+class Contributor(Serializeable):
+    name: str
+    email: str
+
+
+@dataclass
+class Repository(Serializeable):
+    url: str
+    branch: Optional[str] = None
+
+
+@dataclass
+class ModuleTags(Serializeable):
+    content_type: Optional[List[str]] = field(default_factory=list)
+    validation_category: Optional[List[str]] = field(default_factory=list)
+    process_requirements: Optional[List[str]] = field(default_factory=list)
+
+
+@dataclass
+class ModuleManifest(Serializeable):
+    id: str
+    name: str
+    author: Contributor
+    maintainers: List[Contributor]
+    repository: Repository
+    namespace: str
+    package_name: str
+    module_name: str
+    exports: List[str]
+    tags: Optional[ModuleTags] = None
+    requires_auth: Optional[bool] = True
+    post_install: Optional[str] = None
+    index: Optional[str] = None
+
+    # @override
+    @classmethod
+    def from_dict(cls, data: Dict[str, Any]):
+        init_kwargs = {snake_case(k): data.get(k) for k in data}
+        init_kwargs["encoder"] = init_kwargs.get("encoder", SerializeableJSONEncoder)
+        author = init_kwargs.pop("author", {})
+        maintainers = init_kwargs.pop("maintainers", [])
+        repository = init_kwargs.pop("repository", {})
+        tags = init_kwargs.pop("tags", {})
+        return cls(
+            **init_kwargs,
+            author=Contributor.from_dict(author),  # type: ignore
+            maintainers=[Contributor.from_dict(m) for m in maintainers],  # type: ignore
+            repository=Repository.from_dict(repository),  # type: ignore
+            tags=ModuleTags.from_dict(tags),  # type: ignore
+        )
diff --git a/guardrails/cli.py b/guardrails/cli/validate.py
similarity index 58%
rename from guardrails/cli.py
rename to guardrails/cli/validate.py
index 6c246c4c8..df38a5125 100644
--- a/guardrails/cli.py
+++ b/guardrails/cli/validate.py
@@ -4,13 +4,7 @@
 import typer
 
 from guardrails import Guard
-
-cli = typer.Typer()
-
-
-def compile_rail(rail: str, out: str) -> None:
-    """Compile guardrails from the guardrails.yml file."""
-    raise NotImplementedError("Currently compiling rail is not supported.")
+from guardrails.cli.guardrails import guardrails
 
 
 def validate_llm_output(rail: str, llm_output: str) -> Union[str, Dict, None]:
@@ -20,23 +14,7 @@ def validate_llm_output(rail: str, llm_output: str) -> Union[str, Dict, None]:
     return result.validated_output
 
 
-@cli.command()
-def compile(
-    rail: str = typer.Argument(
-        ..., help="Path to the rail spec.", exists=True, file_okay=True, dir_okay=False
-    ),
-    out: str = typer.Option(
-        default=".rail_output",
-        help="Path to the compiled output directory.",
-        file_okay=False,
-        dir_okay=True,
-    ),
-):
-    """Compile guardrails from a `rail` spec."""
-    print("Not supported yet. Use `validate` instead.")
-
-
-@cli.command()
+@guardrails.command()
 def validate(
     rail: str = typer.Argument(
         ..., help="Path to the rail spec.", exists=True, file_okay=True, dir_okay=False
@@ -59,7 +37,3 @@ def validate(
         f.write("\n")
 
     return result
-
-
-if __name__ == "__main__":
-    cli()
diff --git a/guardrails/constants/__init__.py b/guardrails/constants/__init__.py
index 5df8a9914..5847f11e3 100644
--- a/guardrails/constants/__init__.py
+++ b/guardrails/constants/__init__.py
@@ -4,3 +4,4 @@
 fail_status: Literal["fail"] = "fail"
 pass_status: Literal["pass"] = "pass"
 not_run_status: Literal["not run"] = "not run"
+hub: Literal["hub://"] = "hub://"
diff --git a/guardrails/errors/__init__.py b/guardrails/errors/__init__.py
index 392ed17fa..959a3bcb0 100644
--- a/guardrails/errors/__init__.py
+++ b/guardrails/errors/__init__.py
@@ -1,3 +1,18 @@
-from guardrails.validator_base import ValidatorError
+# Never actually used in any validators so the description is misleading.
+# The naming is confusing so we're updating it.
+class ValidatorError(Exception):
+    """
+    deprecated: 0.3.3
+    Use :class:`ValidationError` instead.
 
-__all__ = ["ValidatorError"]
+    Base class for all validator errors.
+    """
+
+
+# Open to naming this something more generic like GuardrailsError or something,
+# let's just decide in this PR
+class ValidationError(Exception):
+    """Top level validation error."""
+
+
+__all__ = ["ValidatorError", "ValidationError"]
diff --git a/guardrails/guard.py b/guardrails/guard.py
index 403563325..d41ed6391 100644
--- a/guardrails/guard.py
+++ b/guardrails/guard.py
@@ -1,6 +1,9 @@
 import asyncio
 import contextvars
+import json
 import warnings
+from copy import deepcopy
+from string import Template
 from typing import (
     Any,
     Awaitable,
@@ -11,6 +14,7 @@
     List,
     Optional,
     Sequence,
+    Tuple,
     Type,
     Union,
     cast,
@@ -18,24 +22,37 @@
 )
 
 from eliot import add_destinations, start_action
+from langchain_core.messages import BaseMessage
+from langchain_core.runnables import Runnable, RunnableConfig
 from pydantic import BaseModel
 
-from guardrails.classes import OT, ValidationOutcome
+from guardrails.classes import OT, InputType, ValidationOutcome
+from guardrails.classes.credentials import Credentials
 from guardrails.classes.generic import Stack
 from guardrails.classes.history import Call
 from guardrails.classes.history.call_inputs import CallInputs
+from guardrails.errors import ValidationError
 from guardrails.llm_providers import get_async_llm_ask, get_llm_ask
 from guardrails.logger import logger, set_scope
 from guardrails.prompt import Instructions, Prompt
 from guardrails.rail import Rail
 from guardrails.run import AsyncRunner, Runner, StreamRunner
 from guardrails.schema import Schema, StringSchema
-from guardrails.validators import Validator
+from guardrails.stores.context import (
+    Tracer,
+    get_tracer_context,
+    set_call_kwargs,
+    set_tracer,
+    set_tracer_context,
+)
+from guardrails.utils.hub_telemetry_utils import HubTelemetry
+from guardrails.utils.validator_utils import get_validator
+from guardrails.validator_base import Validator
 
 add_destinations(logger.debug)
 
 
-class Guard(Generic[OT]):
+class Guard(Runnable, Generic[OT]):
     """The Guard class.
 
     This class is the main entry point for using Guardrails. It is
@@ -52,18 +69,49 @@ class Guard(Generic[OT]):
     the LLM and the validated output.
     """
 
+    _tracer = None
+    _tracer_context = None
+    _hub_telemetry = None
+    _guard_id = None
+    _user_id = None
+    _validators: List[Validator]
+
     def __init__(
         self,
-        rail: Rail,
+        rail: Optional[Rail] = None,
         num_reasks: Optional[int] = None,
         base_model: Optional[Type[BaseModel]] = None,
+        tracer: Optional[Tracer] = None,
     ):
-        """Initialize the Guard."""
+        """Initialize the Guard with optional Rail instance, num_reasks, and
+        base_model."""
+        if not rail:
+            rail = (
+                Rail.from_pydantic(base_model)
+                if base_model
+                else Rail.from_string_validators([])
+            )
         self.rail = rail
         self.num_reasks = num_reasks
         # TODO: Support a sink for history so that it is not solely held in memory
         self.history: Stack[Call] = Stack()
         self.base_model = base_model
+        self._set_tracer(tracer)
+
+        # Get unique id of user from credentials
+        self._user_id = Credentials.from_rc_file().id
+
+        # Get metrics opt-out from credentials
+        self._disable_tracer = Credentials.from_rc_file().no_metrics
+
+        # Get id of guard object (that is unique)
+        self._guard_id = id(self)  # id of guard object; not the class
+
+        # Initialize Hub Telemetry singleton and get the tracer
+        #  if it is not disabled
+        if not self._disable_tracer:
+            self._hub_telemetry = HubTelemetry()
+        self._validators = []
 
     @property
     def prompt_schema(self) -> Optional[StringSchema]:
@@ -140,8 +188,19 @@ def configure(
             else 1
         )
 
+    def _set_tracer(self, tracer: Optional[Tracer] = None) -> None:
+        self._tracer = tracer
+        set_tracer(tracer)
+        set_tracer_context()
+        self._tracer_context = get_tracer_context()
+
     @classmethod
-    def from_rail(cls, rail_file: str, num_reasks: Optional[int] = None):
+    def from_rail(
+        cls,
+        rail_file: str,
+        num_reasks: Optional[int] = None,
+        tracer: Optional[Tracer] = None,
+    ):
         """Create a Schema from a `.rail` file.
 
         Args:
@@ -151,13 +210,23 @@ def from_rail(cls, rail_file: str, num_reasks: Optional[int] = None):
         Returns:
             An instance of the `Guard` class.
         """
+
+        # We have to set the tracer in the ContextStore before the Rail,
+        #   and therefore the Validators, are initialized
+        cls._set_tracer(cls, tracer)  # type: ignore
+
         rail = Rail.from_file(rail_file)
         if rail.output_type == "str":
             return cast(Guard[str], cls(rail=rail, num_reasks=num_reasks))
         return cast(Guard[Dict], cls(rail=rail, num_reasks=num_reasks))
 
     @classmethod
-    def from_rail_string(cls, rail_string: str, num_reasks: Optional[int] = None):
+    def from_rail_string(
+        cls,
+        rail_string: str,
+        num_reasks: Optional[int] = None,
+        tracer: Optional[Tracer] = None,
+    ):
         """Create a Schema from a `.rail` string.
 
         Args:
@@ -167,6 +236,10 @@ def from_rail_string(cls, rail_string: str, num_reasks: Optional[int] = None):
         Returns:
             An instance of the `Guard` class.
         """
+        # We have to set the tracer in the ContextStore before the Rail,
+        #   and therefore the Validators, are initialized
+        cls._set_tracer(cls, tracer)  # type: ignore
+
         rail = Rail.from_string(rail_string)
         if rail.output_type == "str":
             return cast(Guard[str], cls(rail=rail, num_reasks=num_reasks))
@@ -181,8 +254,13 @@ def from_pydantic(
         num_reasks: Optional[int] = None,
         reask_prompt: Optional[str] = None,
         reask_instructions: Optional[str] = None,
+        tracer: Optional[Tracer] = None,
     ):
         """Create a Guard instance from a Pydantic model and prompt."""
+        # We have to set the tracer in the ContextStore before the Rail,
+        #   and therefore the Validators, are initialized
+        cls._set_tracer(cls, tracer)  # type: ignore
+
         rail = Rail.from_pydantic(
             output_class=output_class,
             prompt=prompt,
@@ -204,6 +282,7 @@ def from_string(
         reask_prompt: Optional[str] = None,
         reask_instructions: Optional[str] = None,
         num_reasks: Optional[int] = None,
+        tracer: Optional[Tracer] = None,
     ):
         """Create a Guard instance for a string response with prompt,
         instructions, and validations.
@@ -217,6 +296,9 @@ def from_string(
             reask_instructions (str, optional): Alternative instructions to use during reasks. Defaults to None.
             num_reasks (int, optional): The max times to re-ask the LLM for invalid output.
         """  # noqa
+
+        cls._set_tracer(cls, tracer)  # type: ignore
+
         rail = Rail.from_string_validators(
             validators=validators,
             description=description,
@@ -225,7 +307,7 @@ def from_string(
             reask_prompt=reask_prompt,
             reask_instructions=reask_instructions,
         )
-        return cast(Guard[str], cls(rail, num_reasks=num_reasks))
+        return cast(Guard[str], cls(rail, num_reasks=num_reasks, tracer=tracer))
 
     @overload
     def __call__(
@@ -295,46 +377,93 @@ def __call__(
         Returns:
             The raw text output from the LLM and the validated output.
         """
-        if metadata is None:
-            metadata = {}
-        if full_schema_reask is None:
-            full_schema_reask = self.base_model is not None
-        if prompt_params is None:
-            prompt_params = {}
-
-        context = contextvars.ContextVar("kwargs")
-        context.set(kwargs)
-
-        self.configure(num_reasks)
-        if self.num_reasks is None:
-            raise RuntimeError(
-                "`num_reasks` is `None` after calling `configure()`. "
-                "This should never happen."
-            )
 
-        input_prompt = prompt or (self.prompt._source if self.prompt else None)
-        input_instructions = instructions or (
-            self.instructions._source if self.instructions else None
-        )
-        call_inputs = CallInputs(
-            llm_api=llm_api,
-            prompt=input_prompt,
-            instructions=input_instructions,
-            msg_history=msg_history,
-            prompt_params=prompt_params,
-            num_reasks=self.num_reasks,
-            metadata=metadata,
-            full_schema_reask=full_schema_reask,
-            args=list(args),
-            kwargs=kwargs,
-        )
-        call_log = Call(inputs=call_inputs)
-        set_scope(str(id(call_log)))
-        self.history.push(call_log)
+        def __call(
+            self,
+            llm_api: Union[Callable, Callable[[Any], Awaitable[Any]]],
+            prompt_params: Optional[Dict] = None,
+            num_reasks: Optional[int] = None,
+            prompt: Optional[str] = None,
+            instructions: Optional[str] = None,
+            msg_history: Optional[List[Dict]] = None,
+            metadata: Optional[Dict] = None,
+            full_schema_reask: Optional[bool] = None,
+            *args,
+            **kwargs,
+        ):
+            if metadata is None:
+                metadata = {}
+            if full_schema_reask is None:
+                full_schema_reask = self.base_model is not None
+            if prompt_params is None:
+                prompt_params = {}
+
+            if not self._disable_tracer:
+                # Create a new span for this guard call
+                self._hub_telemetry.create_new_span(
+                    span_name="/guard_call",
+                    attributes=[
+                        ("guard_id", self._guard_id),
+                        ("user_id", self._user_id),
+                        ("llm_api", llm_api.__name__ if llm_api else "None"),
+                        ("custom_reask_prompt", self.reask_prompt is not None),
+                        (
+                            "custom_reask_instructions",
+                            self.reask_instructions is not None,
+                        ),
+                    ],
+                    is_parent=True,  # It will have children
+                    has_parent=False,  # Has no parents
+                )
+
+            set_call_kwargs(kwargs)
+            set_tracer(self._tracer)
+            set_tracer_context(self._tracer_context)
+
+            self.configure(num_reasks)
+            if self.num_reasks is None:
+                raise RuntimeError(
+                    "`num_reasks` is `None` after calling `configure()`. "
+                    "This should never happen."
+                )
 
-        # If the LLM API is async, return a coroutine
-        if asyncio.iscoroutinefunction(llm_api):
-            return self._call_async(
+            input_prompt = prompt or (self.prompt._source if self.prompt else None)
+            input_instructions = instructions or (
+                self.instructions._source if self.instructions else None
+            )
+            call_inputs = CallInputs(
+                llm_api=llm_api,
+                prompt=input_prompt,
+                instructions=input_instructions,
+                msg_history=msg_history,
+                prompt_params=prompt_params,
+                num_reasks=self.num_reasks,
+                metadata=metadata,
+                full_schema_reask=full_schema_reask,
+                args=list(args),
+                kwargs=kwargs,
+            )
+            call_log = Call(inputs=call_inputs)
+            set_scope(str(id(call_log)))
+            self.history.push(call_log)
+
+            # If the LLM API is async, return a coroutine
+            if asyncio.iscoroutinefunction(llm_api):
+                return self._call_async(
+                    llm_api,
+                    prompt_params=prompt_params,
+                    num_reasks=self.num_reasks,
+                    prompt=prompt,
+                    instructions=instructions,
+                    msg_history=msg_history,
+                    metadata=metadata,
+                    full_schema_reask=full_schema_reask,
+                    call_log=call_log,
+                    *args,
+                    **kwargs,
+                )
+            # Otherwise, call the LLM synchronously
+            return self._call_sync(
                 llm_api,
                 prompt_params=prompt_params,
                 num_reasks=self.num_reasks,
@@ -347,17 +476,19 @@ def __call__(
                 *args,
                 **kwargs,
             )
-        # Otherwise, call the LLM synchronously
-        return self._call_sync(
+
+        guard_context = contextvars.Context()
+        return guard_context.run(
+            __call,
+            self,
             llm_api,
-            prompt_params=prompt_params,
-            num_reasks=self.num_reasks,
-            prompt=prompt,
-            instructions=instructions,
-            msg_history=msg_history,
-            metadata=metadata,
-            full_schema_reask=full_schema_reask,
-            call_log=call_log,
+            prompt_params,
+            num_reasks,
+            prompt,
+            instructions,
+            msg_history,
+            metadata,
+            full_schema_reask,
             *args,
             **kwargs,
         )
@@ -492,6 +623,26 @@ def __repr__(self):
     def __rich_repr__(self):
         yield "RAIL", self.rail
 
+    def __stringify__(self):
+        if self.rail and self.rail.output_type == "str":
+            template = Template(
+                """
+                Guard {
+                    validators: [
+                        ${validators}
+                    ]
+                }
+                    """
+            )
+            return template.safe_substitute(
+                {
+                    "validators": ",\n".join(
+                        [v.__stringify__() for v in self._validators]
+                    )
+                }
+            )
+        return self.__repr__()
+
     @overload
     def parse(
         self,
@@ -561,44 +712,89 @@ def parse(
             The validated response. This is either a string or a dictionary,
                 determined by the object schema defined in the RAILspec.
         """
-        final_num_reasks = (
-            num_reasks if num_reasks is not None else 0 if llm_api is None else None
-        )
-        self.configure(final_num_reasks)
-        if self.num_reasks is None:
-            raise RuntimeError(
-                "`num_reasks` is `None` after calling `configure()`. "
-                "This should never happen."
+
+        def __parse(
+            self,
+            llm_output: str,
+            metadata: Optional[Dict] = None,
+            llm_api: Optional[Callable] = None,
+            num_reasks: Optional[int] = None,
+            prompt_params: Optional[Dict] = None,
+            full_schema_reask: Optional[bool] = None,
+            *args,
+            **kwargs,
+        ):
+            final_num_reasks = (
+                num_reasks if num_reasks is not None else 0 if llm_api is None else None
             )
-        if full_schema_reask is None:
-            full_schema_reask = self.base_model is not None
-        metadata = metadata or {}
-        prompt_params = prompt_params or {}
-
-        context = contextvars.ContextVar("kwargs")
-        context.set(kwargs)
-
-        input_prompt = self.prompt._source if self.prompt else None
-        input_instructions = self.instructions._source if self.instructions else None
-        call_inputs = CallInputs(
-            llm_api=llm_api,
-            llm_output=llm_output,
-            prompt=input_prompt,
-            instructions=input_instructions,
-            prompt_params=prompt_params,
-            num_reasks=self.num_reasks,
-            metadata=metadata,
-            full_schema_reask=full_schema_reask,
-            args=list(args),
-            kwargs=kwargs,
-        )
-        call_log = Call(inputs=call_inputs)
-        set_scope(str(id(call_log)))
-        self.history.push(call_log)
 
-        # If the LLM API is async, return a coroutine
-        if asyncio.iscoroutinefunction(llm_api):
-            return self._async_parse(
+            if not self._disable_tracer:
+                self._hub_telemetry.create_new_span(
+                    span_name="/guard_parse",
+                    attributes=[
+                        ("guard_id", self._guard_id),
+                        ("user_id", self._user_id),
+                        ("llm_api", llm_api.__name__ if llm_api else "None"),
+                        ("custom_reask_prompt", self.reask_prompt is not None),
+                        (
+                            "custom_reask_instructions",
+                            self.reask_instructions is not None,
+                        ),
+                    ],
+                    is_parent=True,  # It will have children
+                    has_parent=False,  # Has no parents
+                )
+
+            self.configure(final_num_reasks)
+            if self.num_reasks is None:
+                raise RuntimeError(
+                    "`num_reasks` is `None` after calling `configure()`. "
+                    "This should never happen."
+                )
+            if full_schema_reask is None:
+                full_schema_reask = self.base_model is not None
+            metadata = metadata or {}
+            prompt_params = prompt_params or {}
+
+            set_call_kwargs(kwargs)
+            set_tracer(self._tracer)
+            set_tracer_context(self._tracer_context)
+
+            input_prompt = self.prompt._source if self.prompt else None
+            input_instructions = (
+                self.instructions._source if self.instructions else None
+            )
+            call_inputs = CallInputs(
+                llm_api=llm_api,
+                llm_output=llm_output,
+                prompt=input_prompt,
+                instructions=input_instructions,
+                prompt_params=prompt_params,
+                num_reasks=self.num_reasks,
+                metadata=metadata,
+                full_schema_reask=full_schema_reask,
+                args=list(args),
+                kwargs=kwargs,
+            )
+            call_log = Call(inputs=call_inputs)
+            set_scope(str(id(call_log)))
+            self.history.push(call_log)
+
+            # If the LLM API is async, return a coroutine
+            if asyncio.iscoroutinefunction(llm_api):
+                return self._async_parse(
+                    llm_output,
+                    metadata,
+                    llm_api=llm_api,
+                    num_reasks=self.num_reasks,
+                    prompt_params=prompt_params,
+                    full_schema_reask=full_schema_reask,
+                    call_log=call_log,
+                    *args,
+                    **kwargs,
+                )
+            # Otherwise, call the LLM synchronously
+            return self._sync_parse(
                 llm_output,
                 metadata,
                 llm_api=llm_api,
@@ -609,15 +805,17 @@ def parse(
                 *args,
                 **kwargs,
             )
-        # Otherwise, call the LLM synchronously
-        return self._sync_parse(
+
+        guard_context = contextvars.Context()
+        return guard_context.run(
+            __parse,
+            self,
             llm_output,
             metadata,
-            llm_api=llm_api,
-            num_reasks=self.num_reasks,
-            prompt_params=prompt_params,
-            full_schema_reask=full_schema_reask,
-            call_log=call_log,
+            llm_api,
+            num_reasks,
+            prompt_params,
+            full_schema_reask,
             *args,
             **kwargs,
         )
@@ -758,3 +956,104 @@ def with_msg_history_validation(
         )
         self.rail.msg_history_schema = schema
         return self
+
+    @overload
+    def use(self, validator: Validator) -> "Guard":
+        ...
+
+    @overload
+    def use(self, validator: Type[Validator], *args, **kwargs) -> "Guard":
+        ...
+
+    def use(
+        self, validator: Union[Validator, Type[Validator]], *args, **kwargs
+    ) -> "Guard":
+        if validator:
+            self._validators.append(get_validator(validator, *args, **kwargs))
+
+        return self
+
+    @overload
+    def use_many(self, *validators: Validator) -> "Guard":
+        ...
+
+    @overload
+    def use_many(
+        self,
+        *validators: Tuple[
+            Type[Validator],
+            Optional[Union[List[Any], Dict[str, Any]]],
+            Optional[Dict[str, Any]],
+        ],
+    ) -> "Guard":
+        ...
+
+    def use_many(
+        self,
+        *validators: Union[
+            Validator,
+            Tuple[
+                Type[Validator],
+                Optional[Union[List[Any], Dict[str, Any]]],
+                Optional[Dict[str, Any]],
+            ],
+        ],
+    ) -> "Guard":
+        for v in validators:
+            self._validators.append(get_validator(v))
+
+        return self
+
+    def validate(self, llm_output: str, *args, **kwargs) -> ValidationOutcome[str]:
+        if (
+            not self.rail
+            or self.rail.output_schema.root_datatype.validators != self._validators
+        ):
+            self.rail = Rail.from_string_validators(
+                validators=self._validators,
+                prompt=self.prompt.source if self.prompt else None,
+                instructions=self.instructions.source if self.instructions else None,
+                reask_prompt=self.reask_prompt.source if self.reask_prompt else None,
+                reask_instructions=self.reask_instructions.source
+                if self.reask_instructions
+                else None,
+            )
+
+        return self.parse(llm_output=llm_output, *args, **kwargs)
+
+    # No call support for this until
+    # https://github.com/guardrails-ai/guardrails/pull/525 is merged
+    # def __call__(self, llm_output: str, *args, **kwargs) -> ValidationOutcome[str]:
+    #     return self.validate(llm_output, *args, **kwargs)
+
+    def invoke(
+        self, input: InputType, config: Optional[RunnableConfig] = None
+    ) -> InputType:
+        output = BaseMessage(content="", type="")
+        str_input = None
+        input_is_chat_message = False
+        if isinstance(input, BaseMessage):
+            input_is_chat_message = True
+            str_input = str(input.content)
+            output = deepcopy(input)
+        else:
+            str_input = str(input)
+
+        response = self.validate(str_input)
+
+        validated_output = response.validated_output
+        if not validated_output:
+            raise ValidationError(
+                (
+                    "The response from the LLM failed validation!"
+                    "See `guard.history` for more details."
+                )
+            )
+
+        if isinstance(validated_output, Dict):
+            validated_output = json.dumps(validated_output)
+
+        if input_is_chat_message:
+            output.content = validated_output
+            return cast(InputType, output)
+        return cast(InputType, validated_output)
diff --git a/guardrails/hub/__init__.py b/guardrails/hub/__init__.py
new file mode 100644
index 000000000..cf24afd98
--- /dev/null
+++ b/guardrails/hub/__init__.py
@@ -0,0 +1,2 @@
+# Should contain imports for all validators
+# Will be auto-populated by the installation script
diff --git a/guardrails/run.py b/guardrails/run.py
index 11a9d2d56..7bf0b7445 100644
--- a/guardrails/run.py
+++ b/guardrails/run.py
@@ -5,8 +5,10 @@
 from eliot import add_destinations, start_action
 from pydantic import BaseModel
 
+from guardrails.classes.credentials import Credentials
 from guardrails.classes.history import Call, Inputs, Iteration, Outputs
 from guardrails.datatypes import verify_metadata_requirements
+from guardrails.errors import ValidationError
 from guardrails.llm_providers import (
     AsyncPromptCallableBase,
     OpenAICallable,
@@ -17,6 +19,7 @@
 from guardrails.prompt import Instructions, Prompt
 from guardrails.schema import Schema, StringSchema
 from guardrails.utils.exception_utils import UserFacingException
+from guardrails.utils.hub_telemetry_utils import HubTelemetry
 from guardrails.utils.llm_response import LLMResponse
 from guardrails.utils.openai_utils import OPENAI_VERSION
 from guardrails.utils.reask_utils import (
@@ -25,7 +28,7 @@
     SkeletonReAsk,
     reasks_to_dict,
 )
-from guardrails.validator_base import ValidatorError
+from guardrails.utils.telemetry_utils import async_trace, trace
 
 add_destinations(logger.debug)
 
@@ -102,6 +105,13 @@ def __init__(
         self.base_model = base_model
         self.full_schema_reask = full_schema_reask
 
+        # Get metrics opt-out from credentials
+        self._disable_tracer = Credentials.from_rc_file().no_metrics
+
+        if not self._disable_tracer:
+            # Get the HubTelemetry singleton
+            self._hub_telemetry = HubTelemetry()
+
     def __call__(self, call_log: Call, prompt_params: Optional[Dict] = None) -> Call:
         """Execute the runner by repeatedly calling step until the reask budget
         is exhausted.
@@ -160,6 +170,7 @@ def __call__(self, call_log: Call, prompt_params: Optional[Dict] = None) -> Call
                     self.msg_history_schema,
                     self.output_schema,
                 )
+                index = 0
                 for index in range(self.num_reasks + 1):
                     # Run a single step.
                     iteration = self.step(
@@ -194,6 +205,17 @@ def __call__(self, call_log: Call, prompt_params: Optional[Dict] = None) -> Call
                         prompt_params=prompt_params,
                         include_instructions=include_instructions,
                     )
+
+                # Log how many times we reasked
+                # Use the HubTelemetry singleton
+                if not self._disable_tracer:
+                    self._hub_telemetry.create_new_span(
+                        span_name="/reasks",
+                        attributes=[("reask_count", index)],
+                        is_parent=False,  # This span has no children
+                        has_parent=True,  # This span has a parent
+                    )
+
         except UserFacingException as e:
             # Because Pydantic v1 doesn't respect property setters
             call_log._exception = e.original_exception
@@ -204,6 +226,7 @@ def __call__(self, call_log: Call, prompt_params: Optional[Dict] = None) -> Call
             raise e
         return call_log
 
+    @trace(name="step")
     def step(
         self,
         index: int,
@@ -332,11 +355,11 @@ def validate_msg_history(
         )
         iteration.outputs.validation_output = validated_msg_history
         if isinstance(validated_msg_history, ReAsk):
-            raise ValidatorError(
+            raise ValidationError(
                 f"Message history validation failed: " f"{validated_msg_history}"
             )
         if validated_msg_history != msg_str:
-            raise ValidatorError("Message history validation failed")
+            raise ValidationError("Message history validation failed")
 
     def prepare_msg_history(
         self,
@@ -372,9 +395,9 @@ def validate_prompt(
         )
         iteration.outputs.validation_output = validated_prompt
         if validated_prompt is None:
-            raise ValidatorError("Prompt validation failed")
+            raise ValidationError("Prompt validation failed")
         if isinstance(validated_prompt, ReAsk):
-            raise ValidatorError(f"Prompt validation failed: {validated_prompt}")
+            raise ValidationError(f"Prompt validation failed: {validated_prompt}")
         return Prompt(validated_prompt)
 
     def validate_instructions(
@@ -393,9 +416,9 @@ def validate_instructions(
         )
         iteration.outputs.validation_output = validated_instructions
         if validated_instructions is None:
-            raise ValidatorError("Instructions validation failed")
+            raise ValidationError("Instructions validation failed")
         if isinstance(validated_instructions, ReAsk):
-            raise ValidatorError(
+            raise ValidationError(
                 f"Instructions validation failed: {validated_instructions}"
             )
         return Instructions(validated_instructions)
@@ -509,6 +532,7 @@ def prepare(
 
         return instructions, prompt, msg_history
 
+    @trace(name="call")
     def call(
         self,
         index: int,
@@ -593,7 +617,7 @@ def validate(
         """Validate the output."""
         with start_action(action_type="validate", index=index) as action:
             validated_output = output_schema.validate(
-                iteration, parsed_output, self.metadata, **kwargs
+                iteration, parsed_output, self.metadata, attempt_number=index, **kwargs
             )
 
             action.log(
@@ -783,6 +807,7 @@ async def async_run(
 
         return call_log
 
+    @async_trace(name="step")
     async def async_step(
         self,
         index: int,
@@ -893,6 +918,7 @@ async def async_step(
             raise e
         return iteration
 
+    @async_trace(name="call")
     async def async_call(
         self,
         index: int,
@@ -964,7 +990,7 @@ async def async_validate(
         """Validate the output."""
         with start_action(action_type="validate", index=index) as action:
             validated_output = await output_schema.async_validate(
-                iteration, parsed_output, self.metadata
+                iteration, parsed_output, self.metadata, attempt_number=index
             )
 
             action.log(
@@ -1020,12 +1046,12 @@ async def async_prepare(
                         iteration, msg_str, self.metadata
                     )
                     if isinstance(validated_msg_history, ReAsk):
-                        raise ValidatorError(
+                        raise ValidationError(
                             f"Message history validation failed: "
                             f"{validated_msg_history}"
                         )
                     if validated_msg_history != msg_str:
-                        raise ValidatorError("Message history validation failed")
+                        raise ValidationError("Message history validation failed")
             elif prompt is not None:
                 if isinstance(prompt, str):
                     prompt = Prompt(prompt)
@@ -1053,9 +1079,9 @@ async def async_prepare(
                     )
                     iteration.outputs.validation_output = validated_prompt
                     if validated_prompt is None:
-                        raise ValidatorError("Prompt validation failed")
+                        raise ValidationError("Prompt validation failed")
                     if isinstance(validated_prompt, ReAsk):
-                        raise ValidatorError(
+                        raise ValidationError(
                             f"Prompt validation failed: {validated_prompt}"
                         )
                     prompt = Prompt(validated_prompt)
@@ -1072,9 +1098,9 @@ async def async_prepare(
                     )
                     iteration.outputs.validation_output = validated_instructions
                     if validated_instructions is None:
-                        raise ValidatorError("Instructions validation failed")
+                        raise ValidationError("Instructions validation failed")
                     if isinstance(validated_instructions, ReAsk):
-                        raise ValidatorError(
+                        raise ValidationError(
                             f"Instructions validation failed: {validated_instructions}"
                         )
                     instructions = Instructions(validated_instructions)
diff --git a/guardrails/schema/__init__.py b/guardrails/schema/__init__.py
new file mode 100644
index 000000000..b2ec84b9e
--- /dev/null
+++ b/guardrails/schema/__init__.py
@@ -0,0 +1,10 @@
+from guardrails.schema.json_schema import JsonSchema, Schema2Prompt
+from guardrails.schema.schema import Schema
+from guardrails.schema.string_schema import StringSchema
+
+__all__ = [
+    "Schema",
+    "StringSchema",
+    "JsonSchema",
+    "Schema2Prompt",
+]
diff --git a/guardrails/schema.py b/guardrails/schema/json_schema.py
similarity index 55%
rename from guardrails/schema.py
rename to guardrails/schema/json_schema.py
index 814d526cb..fb5e119cf 100644
--- a/guardrails/schema.py
+++ b/guardrails/schema/json_schema.py
@@ -1,18 +1,6 @@
 import json
-import pprint
 from copy import deepcopy
-from typing import (
-    TYPE_CHECKING,
-    Any,
-    Dict,
-    List,
-    Optional,
-    Sequence,
-    Set,
-    Tuple,
-    Type,
-    Union,
-)
+from typing import Any, Dict, List, Optional, Tuple, Type, Union
 
 from lxml import etree as ET
 from pydantic import BaseModel
@@ -20,7 +8,7 @@
 
 from guardrails import validator_service
 from guardrails.classes.history import Iteration
-from guardrails.datatypes import Choice, DataType, Object, String
+from guardrails.datatypes import Choice, DataType, Object
 from guardrails.llm_providers import (
     AsyncOpenAICallable,
     AsyncOpenAIChatCallable,
@@ -30,6 +18,7 @@
 )
 from guardrails.logger import logger
 from guardrails.prompt import Instructions, Prompt
+from guardrails.schema.schema import Schema
 from guardrails.utils.constants import constants
 from guardrails.utils.json_utils import (
     extract_json_from_ouput,
@@ -45,177 +34,8 @@
     get_pruned_tree,
     prune_obj_for_reasking,
 )
-from guardrails.validator_base import (
-    FailResult,
-    ValidatorSpec,
-    check_refrain_in_dict,
-    filter_in_dict,
-)
-
-if TYPE_CHECKING:
-    pass
-
-
-class Schema:
-    """Schema class that holds a _schema attribute."""
-
-    reask_prompt_vars: Set[str]
-
-    def __init__(
-        self,
-        schema: DataType,
-        reask_prompt_template: Optional[str] = None,
-        reask_instructions_template: Optional[str] = None,
-    ) -> None:
-        self.root_datatype = schema
-
-        # Setup reask templates
-        self.reask_prompt_template = reask_prompt_template
-        self.reask_instructions_template = reask_instructions_template
-
-    @classmethod
-    def from_xml(
-        cls,
-        root: ET._Element,
-        reask_prompt_template: Optional[str] = None,
-        reask_instructions_template: Optional[str] = None,
-    ) -> Self:
-        """Create a schema from an XML element."""
-        raise NotImplementedError
-
-    def __repr__(self) -> str:
-        # FIXME make sure this is pretty
-        return f"{self.__class__.__name__}({pprint.pformat(self.root_datatype)})"
-
-    @property
-    def reask_prompt_template(self) -> Optional[Prompt]:
-        return self._reask_prompt_template
-
-    @reask_prompt_template.setter
-    def reask_prompt_template(self, value: Optional[str]) -> None:
-        self.check_valid_reask_prompt(value)
-        if value is not None:
-            self._reask_prompt_template = Prompt(value)
-        else:
-            self._reask_prompt_template = None
-
-    @property
-    def reask_instructions_template(self) -> Optional[Instructions]:
-        return self._reask_instructions_template
-
-    @reask_instructions_template.setter
-    def reask_instructions_template(self, value: Optional[str]) -> None:
-        if value is not None:
-            self._reask_instructions_template = Instructions(value)
-        else:
-            self._reask_instructions_template = None
-
-    def validate(
-        self, iteration: Iteration, data: Any, metadata: Dict, **kwargs
-    ) -> Any:
-        """Validate a dictionary of data against the schema.
-
-        Args:
-            data: The data to validate.
-
-        Returns:
-            The validated data.
-        """
-        raise NotImplementedError
-
-    async def async_validate(
-        self, iteration: Iteration, data: Any, metadata: Dict
-    ) -> Any:
-        """Asynchronously validate a dictionary of data against the schema.
-
-        Args:
-            data: The data to validate.
-
-        Returns:
-            The validated data.
-        """
-        raise NotImplementedError
-
-    def transpile(self, method: str = "default") -> str:
-        """Convert the XML schema to a string that is used for prompting a
-        large language model.
-
-        Returns:
-            The prompt.
-        """
-        raise NotImplementedError
-
-    def parse(self, output: str, **kwargs) -> Tuple[Any, Optional[Exception]]:
-        """Parse the output from the large language model.
-
-        Args:
-            output: The output from the large language model.
-
-        Returns:
-            The parsed output, and the exception that was raised (if any).
-        """
-        raise NotImplementedError
-
-    def introspect(
-        self, data: Any
-    ) -> Tuple[Sequence[ReAsk], Optional[Union[str, Dict]]]:
-        """Inspect the data for reasks.
-
-        Args:
-            data: The data to introspect.
-
-        Returns:
-            A list of ReAsk objects.
-        """
-        raise NotImplementedError
-
-    def get_reask_setup(
-        self,
-        reasks: Sequence[ReAsk],
-        original_response: Any,
-        use_full_schema: bool,
-        prompt_params: Optional[Dict[str, Any]] = None,
-    ) -> Tuple["Schema", Prompt, Instructions]:
-        """Construct a schema for reasking, and a prompt for reasking.
-
-        Args:
-            reasks: List of tuples, where each tuple contains the path to the
-                reasked element, and the ReAsk object (which contains the error
-                message describing why the reask is necessary).
-            original_response: The value that was returned from the API, with reasks.
-            use_full_schema: Whether to use the full schema, or only the schema
-                for the reasked elements.
-
-        Returns:
-            The schema for reasking, and the prompt for reasking.
-        """
-        raise NotImplementedError
-
-    def preprocess_prompt(
-        self,
-        prompt_callable: PromptCallableBase,
-        instructions: Optional[Instructions],
-        prompt: Prompt,
-    ):
-        """Preprocess the instructions and prompt before sending it to the
-        model.
-
-        Args:
-            prompt_callable: The callable to be used to prompt the model.
-            instructions: The instructions to preprocess.
-            prompt: The prompt to preprocess.
-        """
-        raise NotImplementedError
-
-    def check_valid_reask_prompt(self, reask_prompt: Optional[str]) -> None:
-        if reask_prompt is None:
-            return
-
-        # Check that the reask prompt has the correct variables
-
-        # TODO decide how to check this
-        # variables = get_template_variables(reask_prompt)
-        # assert set(variables) == self.reask_prompt_vars
+from guardrails.utils.telemetry_utils import trace_validation_result
+from guardrails.validator_base import FailResult, check_refrain_in_dict, filter_in_dict
 
 
 class JsonSchema(Schema):
@@ -468,6 +288,7 @@ def validate(
         iteration: Iteration,
         data: Optional[Dict[str, Any]],
         metadata: Dict,
+        attempt_number: int = 0,
         **kwargs,
     ) -> Any:
         """Validate a dictionary of data against the schema.
@@ -525,6 +346,11 @@ def validate(
         # Remove all keys that have `Filter` values.
         validated_response = filter_in_dict(validated_response)
 
+        # TODO: Capture error messages once Top Level error handling is merged in
+        trace_validation_result(
+            validation_logs=iteration.validator_logs, attempt_number=attempt_number
+        )
+
         return validated_response
 
     async def async_validate(
@@ -532,6 +358,7 @@ async def async_validate(
         iteration: Iteration,
         data: Optional[Dict[str, Any]],
         metadata: Dict,
+        attempt_number: int = 0,
     ) -> Any:
         """Validate a dictionary of data against the schema.
 
@@ -588,6 +415,11 @@ async def async_validate(
         # Remove all keys that have `Filter` values.
         validated_response = filter_in_dict(validated_response)
 
+        # TODO: Capture error messages once Top Level error handling is merged in
+        trace_validation_result(
+            validation_logs=iteration.validator_logs, attempt_number=attempt_number
+        )
+
         return validated_response
 
     def introspect(self, data: Any) -> Tuple[List[ReAsk], Optional[Dict]]:
@@ -624,256 +456,6 @@ def transpile(self, method: str = "default") -> str:
         return transpiler(self)
 
 
-class StringSchema(Schema):
-    reask_prompt_vars = {"previous_response", "output_schema", "error_messages"}
-
-    def __init__(
-        self,
-        schema: String,
-        reask_prompt_template: Optional[str] = None,
-        reask_instructions_template: Optional[str] = None,
-    ) -> None:
-        super().__init__(
-            schema,
-            reask_prompt_template=reask_prompt_template,
-            reask_instructions_template=reask_instructions_template,
-        )
-        self.root_datatype = schema
-
-    @classmethod
-    def from_xml(
-        cls,
-        root: ET._Element,
-        reask_prompt_template: Optional[str] = None,
-        reask_instructions_template: Optional[str] = None,
-    ) -> Self:
-        if len(root) != 0:
-            raise ValueError("String output schemas must not have children.")
-
-        strict = False
-        if "strict" in root.attrib and root.attrib["strict"] == "true":
-            strict = True
-
-        schema = String.from_xml(root, strict=strict)
-
-        return cls(
-            schema=schema,
-            reask_prompt_template=reask_prompt_template,
-            reask_instructions_template=reask_instructions_template,
-        )
-
-    @classmethod
-    def from_string(
-        cls,
-        validators: Sequence[ValidatorSpec],
-        description: Optional[str] = None,
-        reask_prompt_template: Optional[str] = None,
-        reask_instructions_template: Optional[str] = None,
-    ):
-        strict = False
-
-        schema = String.from_string_rail(
-            validators, description=description, strict=strict
-        )
-
-        return cls(
-            schema=schema,
-            reask_prompt_template=reask_prompt_template,
-            reask_instructions_template=reask_instructions_template,
-        )
-
-    def get_reask_setup(
-        self,
-        reasks: List[FieldReAsk],
-        original_response: FieldReAsk,
-        use_full_schema: bool,
-        prompt_params: Optional[Dict[str, Any]] = None,
-    ) -> Tuple[Schema, Prompt, Instructions]:
-        pruned_tree_string = self.transpile()
-
-        reask_prompt_template = self.reask_prompt_template
-        if reask_prompt_template is None:
-            reask_prompt_template = Prompt(
-                constants["high_level_string_reask_prompt"]
-                + constants["complete_string_suffix"]
-            )
-
-        error_messages = "\n".join(
-            [
-                f"- {fail_result.error_message}"
-                for reask in reasks
-                for fail_result in reask.fail_results
-            ]
-        )
-
-        prompt = reask_prompt_template.format(
-            previous_response=original_response.incorrect_value,
-            error_messages=error_messages,
-            output_schema=pruned_tree_string,
-            **(prompt_params or {}),
-        )
-
-        instructions = self.reask_instructions_template
-        if instructions is None:
-            instructions = Instructions("You are a helpful assistant.")
-        instructions = instructions.format(**(prompt_params or {}))
-
-        return self, prompt, instructions
-
-    def parse(self, output: str, **kwargs) -> Tuple[Any, Optional[Exception]]:
-        return output, None
-
-    def validate(
-        self,
-        iteration: Iteration,
-        data: Any,
-        metadata: Dict,
-        **kwargs,
-    ) -> Any:
-        """Validate a dictionary of data against the schema.
-
-        Args:
-            data: The data to validate.
-
-        Returns:
-            The validated data.
-        """
-        if data is None:
-            return None
-
-        if not isinstance(data, str):
-            raise TypeError(f"Argument `data` must be a string, not {type(data)}.")
-
-        # FIXME instead of writing the validation infrastructure for dicts (JSON),
-        #  make it more structure-invariant
-        dummy_key = "string"
-        validation = self.root_datatype.collect_validation(
-            key=dummy_key,
-            value=data,
-            schema={
-                dummy_key: data,
-            },
-        )
-
-        validated_response, metadata = validator_service.validate(
-            value=data,
-            metadata=metadata,
-            validator_setup=validation,
-            iteration=iteration,
-        )
-
-        validated_response = {dummy_key: validated_response}
-
-        if check_refrain_in_dict(validated_response):
-            # If the data contains a `Refain` value, we return an empty
-            # dictionary.
-            logger.debug("Refrain detected.")
-            validated_response = {}
-
-        # Remove all keys that have `Filter` values.
-        validated_response = filter_in_dict(validated_response)
-
-        if dummy_key in validated_response:
-            return validated_response[dummy_key]
-        return None
-
-    async def async_validate(
-        self,
-        iteration: Iteration,
-        data: Any,
-        metadata: Dict,
-    ) -> Any:
-        """Validate a dictionary of data against the schema.
-
-        Args:
-            data: The data to validate.
-
-        Returns:
-            The validated data.
-        """
-        if data is None:
-            return None
-
-        if not isinstance(data, str):
-            raise TypeError(f"Argument `data` must be a string, not {type(data)}.")
-
-        dummy_key = "string"
-        validation = self.root_datatype.collect_validation(
-            key=dummy_key,
-            value=data,
-            schema={
-                dummy_key: data,
-            },
-        )
-
-        validated_response, metadata = await validator_service.async_validate(
-            value=data,
-            metadata=metadata,
-            validator_setup=validation,
-            iteration=iteration,
-        )
-
-        validated_response = {dummy_key: validated_response}
-
-        if check_refrain_in_dict(validated_response):
-            # If the data contains a `Refain` value, we return an empty
-            # dictionary.
-            logger.debug("Refrain detected.")
-            validated_response = {}
-
-        # Remove all keys that have `Filter` values.
-        validated_response = filter_in_dict(validated_response)
-
-        if dummy_key in validated_response:
-            return validated_response[dummy_key]
-        return None
-
-    def introspect(
-        self, data: Union[ReAsk, Optional[str]]
-    ) -> Tuple[List[FieldReAsk], Optional[str]]:
-        if isinstance(data, FieldReAsk):
-            return [data], None
-        return [], data  # type: ignore
-
-    def preprocess_prompt(
-        self,
-        prompt_callable: PromptCallableBase,
-        instructions: Optional[Instructions],
-        prompt: Prompt,
-    ):
-        if isinstance(prompt_callable, OpenAICallable) or isinstance(
-            prompt_callable, AsyncOpenAICallable
-        ):
-            prompt.source += "\n\nString Output:\n\n"
-        if (
-            isinstance(prompt_callable, OpenAIChatCallable)
-            or isinstance(prompt_callable, AsyncOpenAIChatCallable)
-        ) and not instructions:
-            instructions = Instructions(
-                "You are a helpful assistant, expressing yourself through a string."
-            )
-
-        return instructions, prompt
-
-    def transpile(self, method: str = "default") -> str:
-        obj = self.root_datatype
-        schema = ""
-        if obj.description is not None:
-            schema += (
-                "Here's a description of what I want you to generate: "
-                f"{obj.description}"
-            )
-        if not obj.validators_attr.empty:
-            schema += (
-                "\n\nYour generated response should satisfy the following properties:"
-            )
-            for validator in obj.validators_attr.validators:
-                schema += f"\n- {validator.to_prompt()}"
-
-        schema += "\n\nDon't talk; just go."
-        return schema
-
-
 class Schema2Prompt:
     """Class that contains transpilers to go from a schema to its
     representation in a prompt.
diff --git a/guardrails/schema/schema.py b/guardrails/schema/schema.py
new file mode 100644
index 000000000..756767ac8
--- /dev/null
+++ b/guardrails/schema/schema.py
@@ -0,0 +1,181 @@
+import pprint
+from typing import TYPE_CHECKING, Any, Dict, Optional, Sequence, Set, Tuple, Union
+
+from lxml import etree as ET
+from typing_extensions import Self
+
+from guardrails.classes.history import Iteration
+from guardrails.datatypes import DataType
+from guardrails.llm_providers import PromptCallableBase
+from guardrails.prompt import Instructions, Prompt
+from guardrails.utils.reask_utils import ReAsk
+
+if TYPE_CHECKING:
+    pass
+
+
+class Schema:
+    """Schema class that holds a _schema attribute."""
+
+    reask_prompt_vars: Set[str]
+
+    def __init__(
+        self,
+        schema: DataType,
+        reask_prompt_template: Optional[str] = None,
+        reask_instructions_template: Optional[str] = None,
+    ) -> None:
+        self.root_datatype = schema
+
+        # Setup reask templates
+        self.reask_prompt_template = reask_prompt_template
+        self.reask_instructions_template = reask_instructions_template
+
+    @classmethod
+    def from_xml(
+        cls,
+        root: ET._Element,
+        reask_prompt_template: Optional[str] = None,
+        reask_instructions_template: Optional[str] = None,
+    ) -> Self:
+        """Create a schema from an XML element."""
+        raise NotImplementedError
+
+    def __repr__(self) -> str:
+        # FIXME make sure this is pretty
+        return f"{self.__class__.__name__}({pprint.pformat(self.root_datatype)})"
+
+    @property
+    def reask_prompt_template(self) -> Optional[Prompt]:
+        return self._reask_prompt_template
+
+    @reask_prompt_template.setter
+    def reask_prompt_template(self, value: Optional[str]) -> None:
+        self.check_valid_reask_prompt(value)
+        if value is not None:
+            self._reask_prompt_template = Prompt(value)
+        else:
+            self._reask_prompt_template = None
+
+    @property
+    def reask_instructions_template(self) -> Optional[Instructions]:
+        return self._reask_instructions_template
+
+    @reask_instructions_template.setter
+    def reask_instructions_template(self, value: Optional[str]) -> None:
+        if value is not None:
+            self._reask_instructions_template = Instructions(value)
+        else:
+            self._reask_instructions_template = None
+
+    def validate(
+        self,
+        iteration: Iteration,
+        data: Any,
+        metadata: Dict,
+        attempt_number: int = 0,
+        **kwargs,
+    ) -> Any:
+        """Validate a dictionary of data against the schema.
+
+        Args:
+            data: The data to validate.
+
+        Returns:
+            The validated data.
+        """
+        raise NotImplementedError
+
+    async def async_validate(
+        self, iteration: Iteration, data: Any, metadata: Dict, attempt_number: int = 0
+    ) -> Any:
+        """Asynchronously validate a dictionary of data against the schema.
+
+        Args:
+            data: The data to validate.
+
+        Returns:
+            The validated data.
+        """
+        raise NotImplementedError
+
+    def transpile(self, method: str = "default") -> str:
+        """Convert the XML schema to a string that is used for prompting a
+        large language model.
+
+        Returns:
+            The prompt.
+        """
+        raise NotImplementedError
+
+    def parse(self, output: str, **kwargs) -> Tuple[Any, Optional[Exception]]:
+        """Parse the output from the large language model.
+
+        Args:
+            output: The output from the large language model.
+
+        Returns:
+            The parsed output, and the exception that was raised (if any).
+        """
+        raise NotImplementedError
+
+    def introspect(
+        self, data: Any
+    ) -> Tuple[Sequence[ReAsk], Optional[Union[str, Dict]]]:
+        """Inspect the data for reasks.
+
+        Args:
+            data: The data to introspect.
+
+        Returns:
+            A list of ReAsk objects.
+        """
+        raise NotImplementedError
+
+    def get_reask_setup(
+        self,
+        reasks: Sequence[ReAsk],
+        original_response: Any,
+        use_full_schema: bool,
+        prompt_params: Optional[Dict[str, Any]] = None,
+    ) -> Tuple["Schema", Prompt, Instructions]:
+        """Construct a schema for reasking, and a prompt for reasking.
+
+        Args:
+            reasks: List of tuples, where each tuple contains the path to the
+                reasked element, and the ReAsk object (which contains the error
+                message describing why the reask is necessary).
+            original_response: The value that was returned from the API, with reasks.
+            use_full_schema: Whether to use the full schema, or only the schema
+                for the reasked elements.
+
+        Returns:
+            The schema for reasking, and the prompt for reasking.
+        """
+        raise NotImplementedError
+
+    def preprocess_prompt(
+        self,
+        prompt_callable: PromptCallableBase,
+        instructions: Optional[Instructions],
+        prompt: Prompt,
+    ):
+        """Preprocess the instructions and prompt before sending it to the
+        model.
+
+        Args:
+            prompt_callable: The callable to be used to prompt the model.
+            instructions: The instructions to preprocess.
+            prompt: The prompt to preprocess.
+        """
+        raise NotImplementedError
+
+    def check_valid_reask_prompt(self, reask_prompt: Optional[str]) -> None:
+        if reask_prompt is None:
+            return
+
+        # Check that the reask prompt has the correct variables
+
+        # TODO decide how to check this
+        # variables = get_template_variables(reask_prompt)
+        # assert set(variables) == self.reask_prompt_vars
diff --git a/guardrails/schema/string_schema.py b/guardrails/schema/string_schema.py
new file mode 100644
index 000000000..0c9f1d8b3
--- /dev/null
+++ b/guardrails/schema/string_schema.py
@@ -0,0 +1,286 @@
+from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
+
+from lxml import etree as ET
+from typing_extensions import Self
+
+from guardrails import validator_service
+from guardrails.classes.history import Iteration
+from guardrails.datatypes import String
+from guardrails.llm_providers import (
+    AsyncOpenAICallable,
+    AsyncOpenAIChatCallable,
+    OpenAICallable,
+    OpenAIChatCallable,
+    PromptCallableBase,
+)
+from guardrails.logger import logger
+from guardrails.prompt import Instructions, Prompt
+from guardrails.schema.schema import Schema
+from guardrails.utils.constants import constants
+from guardrails.utils.reask_utils import FieldReAsk, ReAsk
+from guardrails.utils.telemetry_utils import trace_validation_result
+from guardrails.validator_base import (
+    ValidatorSpec,
+    check_refrain_in_dict,
+    filter_in_dict,
+)
+
+
+class StringSchema(Schema):
+    reask_prompt_vars = {"previous_response", "output_schema", "error_messages"}
+
+    def __init__(
+        self,
+        schema: String,
+        reask_prompt_template: Optional[str] = None,
+        reask_instructions_template: Optional[str] = None,
+    ) -> None:
+        super().__init__(
+            schema,
+            reask_prompt_template=reask_prompt_template,
+            reask_instructions_template=reask_instructions_template,
+        )
+        self.root_datatype = schema
+
+    @classmethod
+    def from_xml(
+        cls,
+        root: ET._Element,
+        reask_prompt_template: Optional[str] = None,
+        reask_instructions_template: Optional[str] = None,
+    ) -> Self:
+        if len(root) != 0:
+            raise ValueError("String output schemas must not have children.")
+
+        strict = False
+        if "strict" in root.attrib and root.attrib["strict"] == "true":
+            strict = True
+
+        schema = String.from_xml(root, strict=strict)
+
+        return cls(
+            schema=schema,
+            reask_prompt_template=reask_prompt_template,
+            reask_instructions_template=reask_instructions_template,
+        )
+
+    @classmethod
+    def from_string(
+        cls,
+        validators: Sequence[ValidatorSpec],
+        description: Optional[str] = None,
+        reask_prompt_template: Optional[str] = None,
+        reask_instructions_template: Optional[str] = None,
+    ):
+        strict = False
+
+        schema = String.from_string_rail(
+            validators, description=description, strict=strict
+        )
+
+        return cls(
+            schema=schema,
+            reask_prompt_template=reask_prompt_template,
+            reask_instructions_template=reask_instructions_template,
+        )
+
+    def get_reask_setup(
+        self,
+        reasks: List[FieldReAsk],
+        original_response: FieldReAsk,
+        use_full_schema: bool,
+        prompt_params: Optional[Dict[str, Any]] = None,
+    ) -> Tuple[Schema, Prompt, Instructions]:
+        pruned_tree_string = self.transpile()
+
+        reask_prompt_template = self.reask_prompt_template
+        if reask_prompt_template is None:
+            reask_prompt_template = Prompt(
+                constants["high_level_string_reask_prompt"]
+                + constants["complete_string_suffix"]
+            )
+
+        error_messages = "\n".join(
+            [
+                f"- {fail_result.error_message}"
+                for reask in reasks
+                for fail_result in reask.fail_results
+            ]
+        )
+
+        prompt = reask_prompt_template.format(
+            previous_response=original_response.incorrect_value,
+            error_messages=error_messages,
+            output_schema=pruned_tree_string,
+            **(prompt_params or {}),
+        )
+
+        instructions = self.reask_instructions_template
+        if instructions is None:
+            instructions = Instructions("You are a helpful assistant.")
+        instructions = instructions.format(**(prompt_params or {}))
+
+        return self, prompt, instructions
+
+    def parse(self, output: str, **kwargs) -> Tuple[Any, Optional[Exception]]:
+        return output, None
+
+    def validate(
+        self,
+        iteration: Iteration,
+        data: Any,
+        metadata: Dict,
+        attempt_number: int = 0,
+        **kwargs,
+    ) -> Any:
+        """Validate a dictionary of data against the schema.
+
+        Args:
+            data: The data to validate.
+
+        Returns:
+            The validated data.
+        """
+        if data is None:
+            return None
+
+        if not isinstance(data, str):
+            raise TypeError(f"Argument `data` must be a string, not {type(data)}.")
+
+        # FIXME instead of writing the validation infrastructure for dicts (JSON),
+        #  make it more structure-invariant
+        dummy_key = "string"
+        validation = self.root_datatype.collect_validation(
+            key=dummy_key,
+            value=data,
+            schema={
+                dummy_key: data,
+            },
+        )
+
+        validated_response, metadata = validator_service.validate(
+            value=data,
+            metadata=metadata,
+            validator_setup=validation,
+            iteration=iteration,
+        )
+
+        validated_response = {dummy_key: validated_response}
+
+        if check_refrain_in_dict(validated_response):
+            # If the data contains a `Refain` value, we return an empty
+            # dictionary.
+            logger.debug("Refrain detected.")
+            validated_response = {}
+
+        # Remove all keys that have `Filter` values.
+        validated_response = filter_in_dict(validated_response)
+
+        trace_validation_result(
+            validation_logs=iteration.validator_logs, attempt_number=attempt_number
+        )
+
+        if dummy_key in validated_response:
+            return validated_response[dummy_key]
+        return None
+
+    async def async_validate(
+        self,
+        iteration: Iteration,
+        data: Any,
+        metadata: Dict,
+        attempt_number: int = 0,
+    ) -> Any:
+        """Validate a dictionary of data against the schema.
+
+        Args:
+            data: The data to validate.
+
+        Returns:
+            The validated data.
+        """
+        if data is None:
+            return None
+
+        if not isinstance(data, str):
+            raise TypeError(f"Argument `data` must be a string, not {type(data)}.")
+
+        dummy_key = "string"
+        validation = self.root_datatype.collect_validation(
+            key=dummy_key,
+            value=data,
+            schema={
+                dummy_key: data,
+            },
+        )
+
+        validated_response, metadata = await validator_service.async_validate(
+            value=data,
+            metadata=metadata,
+            validator_setup=validation,
+            iteration=iteration,
+        )
+
+        validated_response = {dummy_key: validated_response}
+
+        if check_refrain_in_dict(validated_response):
+            # If the data contains a `Refain` value, we return an empty
+            # dictionary.
+            logger.debug("Refrain detected.")
+            validated_response = {}
+
+        # Remove all keys that have `Filter` values.
+        validated_response = filter_in_dict(validated_response)
+
+        trace_validation_result(
+            validation_logs=iteration.validator_logs, attempt_number=attempt_number
+        )
+
+        if dummy_key in validated_response:
+            return validated_response[dummy_key]
+        return None
+
+    def introspect(
+        self, data: Union[ReAsk, Optional[str]]
+    ) -> Tuple[List[FieldReAsk], Optional[str]]:
+        if isinstance(data, FieldReAsk):
+            return [data], None
+        return [], data  # type: ignore
+
+    def preprocess_prompt(
+        self,
+        prompt_callable: PromptCallableBase,
+        instructions: Optional[Instructions],
+        prompt: Prompt,
+    ):
+        if isinstance(prompt_callable, OpenAICallable) or isinstance(
+            prompt_callable, AsyncOpenAICallable
+        ):
+            prompt.source += "\n\nString Output:\n\n"
+        if (
+            isinstance(prompt_callable, OpenAIChatCallable)
+            or isinstance(prompt_callable, AsyncOpenAIChatCallable)
+        ) and not instructions:
+            instructions = Instructions(
+                "You are a helpful assistant, expressing yourself through a string."
+            )
+
+        return instructions, prompt
+
+    def transpile(self, method: str = "default") -> str:
+        obj = self.root_datatype
+        schema = ""
+        if obj.description is not None:
+            schema += (
+                "Here's a description of what I want you to generate: "
+                f"{obj.description}"
+            )
+        if not obj.validators_attr.empty:
+            schema += (
+                "\n\nYour generated response should satisfy the following properties:"
+            )
+            for validator in obj.validators_attr.validators:
+                schema += f"\n- {validator.to_prompt()}"
+
+        schema += "\n\nDon't talk; just go."
+        return schema
diff --git a/guardrails/stores/context.py b/guardrails/stores/context.py
new file mode 100644
index 000000000..d9d8907c9
--- /dev/null
+++ b/guardrails/stores/context.py
@@ -0,0 +1,68 @@
+from contextvars import ContextVar, copy_context
+from typing import Any, Dict, Literal, Optional, Union, cast
+
+from opentelemetry import context
+from opentelemetry.context import Context
+from opentelemetry.trace import Tracer
+
+TRACER_KEY: Literal["gr.reserved.tracer"] = "gr.reserved.tracer"
+TRACER_CONTEXT_KEY: Literal["gr.reserved.tracer.context"] = "gr.reserved.tracer.context"
+DOCUMENT_STORE_KEY: Literal["gr.reserved.document_store"] = "gr.reserved.document_store"
+CALL_KWARGS_KEY: Literal["gr.reserved.call_kwargs"] = "gr.reserved.call_kwargs"
+
+
+def set_tracer(tracer: Optional[Tracer] = None) -> None:
+    set_context_var(TRACER_KEY, tracer)
+
+
+def get_tracer() -> Union[Tracer, None]:
+    cvar = get_context_var(TRACER_KEY)
+    if cvar is None:
+        return None
+    return cast(Tracer, cvar)
+
+
+def set_tracer_context(tracer_context: Optional[Context] = None) -> None:
+    tracer_context = (
+        tracer_context
+        if tracer_context
+        else (context.get_current() if context is not None else None)
+    )
+    set_context_var(TRACER_CONTEXT_KEY, tracer_context)
+
+
+def get_tracer_context() -> Union[Context, None]:
+    return get_context_var(TRACER_CONTEXT_KEY)
+
+
+def set_call_kwargs(kwargs: Dict[str, Any]) -> None:
+    set_context_var(CALL_KWARGS_KEY, kwargs)
+
+
+def get_call_kwargs() -> Dict[str, Any]:
+    return get_context_var(CALL_KWARGS_KEY) or {}
+
+
+def get_call_kwarg(kwarg_key: str) -> Union[Any, None]:
+    kwargs = get_call_kwargs()
+    return kwargs.get(kwarg_key)
+
+
+def _get_contextvar(key):
+    context = copy_context()
+    context_var = None
+    for c_key in context.keys():
+        if c_key.name == key:
+            context_var = c_key
+            break
+    return context_var
+
+
+def set_context_var(key, value):
+    context_var = _get_contextvar(key) or ContextVar(key)
+    context_var.set(value)
+
+
+def get_context_var(key):
+    context_var = _get_contextvar(key)
+    return context_var.get() if context_var else None
diff --git a/guardrails/utils/__init__.py b/guardrails/utils/__init__.py
index e69de29bb..eb99b0db2 100644
--- a/guardrails/utils/__init__.py
+++ b/guardrails/utils/__init__.py
@@ -0,0 +1,5 @@
+from guardrails.utils.args import args
+from guardrails.utils.kwargs import kwargs
+from guardrails.utils.on_fail import on_fail
+
+__all__ = ["args", "kwargs", "on_fail"]
diff --git a/guardrails/utils/args.py b/guardrails/utils/args.py
new file mode 100644
index 000000000..de9d0e0e2
--- /dev/null
+++ b/guardrails/utils/args.py
@@ -0,0 +1,5 @@
+from typing import Any, List
+
+
+def args(*args: Any) -> List[Any]:
+    return list(args)
diff --git a/guardrails/utils/hub_telemetry_utils.py b/guardrails/utils/hub_telemetry_utils.py
new file mode 100644
index 000000000..719f80050
--- /dev/null
+++ b/guardrails/utils/hub_telemetry_utils.py
@@ -0,0 +1,126 @@
+# Imports
+import logging
+
+from opentelemetry import trace
+from opentelemetry.exporter.otlp.proto.http.trace_exporter import (  # HTTP Exporter
+    OTLPSpanExporter,
+)
+from opentelemetry.sdk.resources import SERVICE_NAME, Resource
+from opentelemetry.sdk.trace import TracerProvider
+from opentelemetry.sdk.trace.export import ConsoleSpanExporter, SimpleSpanProcessor
+from opentelemetry.trace.propagation.tracecontext import TraceContextTextMapPropagator
+
+
+class HubTelemetry:
+    """Singleton class for initializing a tracer for Guardrails Hub."""
+
+    _instance = None
+    _service_name = None
+    _endpoint = None
+    _tracer_name = None
+    _resource = None
+    _tracer_provider = None
+    _processor = None
+    _tracer = None
+    _prop = None
+    _carrier = {}
+
+    def __new__(
+        cls,
+        service_name: str = "guardrails-hub",
+        tracer_name: str = "gr_hub",
+        export_locally: bool = False,
+    ):
+        if cls._instance is None:
+            logging.debug("Creating HubTelemetry instance...")
+            cls._instance = super(HubTelemetry, cls).__new__(cls)
+            logging.debug("Initializing HubTelemetry instance...")
+            cls._instance.initialize_tracer(service_name, tracer_name, export_locally)
+        else:
+            logging.debug("Returning existing HubTelemetry instance...")
+        return cls._instance
+
+    def initialize_tracer(
+        self,
+        service_name: str,
+        tracer_name: str,
+        export_locally: bool,
+    ):
+        """Initializes a tracer for Guardrails Hub."""
+
+        self._service_name = service_name
+        # self._endpoint = "http://localhost:4318/v1/traces"
+        self._endpoint = (
+            "https://hty0gc1ok3.execute-api.us-east-1.amazonaws.com/v1/traces"
+        )
+        self._tracer_name = tracer_name
+
+        # Create a resource
+        # Service name is required for most backends
+        self._resource = Resource(attributes={SERVICE_NAME: self._service_name})
+
+        # Create a tracer provider and a processor
+        self._tracer_provider = TracerProvider(resource=self._resource)
+
+        if export_locally:
+            self._processor = SimpleSpanProcessor(ConsoleSpanExporter())
+        else:
+            self._processor = SimpleSpanProcessor(
+                OTLPSpanExporter(endpoint=self._endpoint)
+            )
+
+        # Add the processor to the provider
+        self._tracer_provider.add_span_processor(self._processor)
+
+        # Set the tracer provider and return a tracer
+        trace.set_tracer_provider(self._tracer_provider)
+        self._tracer = trace.get_tracer(self._tracer_name)
+
+        self._prop = TraceContextTextMapPropagator()
+
+    def inject_current_context(self) -> None:
+        """Injects the current context into the carrier."""
+        if not self._prop:
+            return
+        self._prop.inject(carrier=self._carrier)
+
+    def extract_current_context(self):
+        """Extracts the current context from the carrier."""
+        if not self._prop:
+            return None
+        context = self._prop.extract(carrier=self._carrier)
+        return context
+
+    def create_new_span(
+        self,
+        span_name: str,
+        attributes: list,
+        is_parent: bool,  # Inject current context if IS a parent span
+        has_parent: bool,  # Extract current context if HAS a parent span
+    ):
+        """Creates a new span within the tracer with the given name and
+        attributes.
+
+        If it's a parent span, the current context is injected into the carrier.
+        If it has a parent span, the current context is extracted from the carrier.
+        Both the conditions can co-exist e.g. a span can be a parent span which
+        also has a parent span.
+
+        Args:
+            span_name (str): The name of the span.
+            attributes (list): A list of attributes to set on the span.
+            is_parent (bool): True if the span is a parent span.
+            has_parent (bool): True if the span has a parent span.
+        """
+        if self._tracer is None:
+            return
+        with self._tracer.start_as_current_span(
+            span_name,
+            context=self.extract_current_context() if has_parent else None,
+        ) as span:
+            if is_parent:
+                # Inject the current context
+                self.inject_current_context()
+
+            for attribute in attributes:
+                span.set_attribute(attribute[0], attribute[1])
diff --git a/guardrails/utils/kwargs.py b/guardrails/utils/kwargs.py
new file mode 100644
index 000000000..0c749213d
--- /dev/null
+++ b/guardrails/utils/kwargs.py
@@ -0,0 +1,5 @@
+from typing import Any, Dict
+
+
+def kwargs(**kwargs) -> Dict[str, Any]:
+    return kwargs
diff --git a/guardrails/utils/logs_utils.py b/guardrails/utils/logs_utils.py
index a14eed58b..9ffe3e6e3 100644
--- a/guardrails/utils/logs_utils.py
+++ b/guardrails/utils/logs_utils.py
@@ -1,18 +1,23 @@
 from copy import deepcopy
+from datetime import datetime
 from typing import Any, Dict, List, Optional
 
 from guardrails.utils.pydantic_utils import ArbitraryModel
 from guardrails.utils.reask_utils import FieldReAsk, ReAsk, prune_obj_for_reasking
-from guardrails.validators import ValidationResult
+from guardrails.validator_base import ValidationResult
 
 
 class ValidatorLogs(ArbitraryModel):
     """Logs for a single validator."""
 
     validator_name: str
+    registered_name: str
     value_before_validation: Any
     validation_result: Optional[ValidationResult] = None
     value_after_validation: Optional[Any] = None
+    start_time: Optional[datetime] = None
+    end_time: Optional[datetime] = None
+    instance_id: Optional[int] = None
     property_path: str
 
 
diff --git a/guardrails/utils/on_fail.py b/guardrails/utils/on_fail.py
new file mode 100644
index 000000000..67c557071
--- /dev/null
+++ b/guardrails/utils/on_fail.py
@@ -0,0 +1,11 @@
+from typing import Literal, get_args
+
+ON_FAIL_TYPES = Literal[
+    "exception", "fix", "fix_reask", "reask", "filter", "refrain", "noop", "custom"
+]
+
+
+def on_fail(fix_type: ON_FAIL_TYPES = "noop"):
+    options = get_args(ON_FAIL_TYPES)
+    assert fix_type in options, f"'{fix_type}' is not in {options}"
+    return {"on_fail": fix_type}
diff --git a/guardrails/utils/safe_get.py b/guardrails/utils/safe_get.py
index 9eeff6deb..97aca6b6d 100644
--- a/guardrails/utils/safe_get.py
+++ b/guardrails/utils/safe_get.py
@@ -1,4 +1,4 @@
-from typing import Any, Dict, List, Optional, Union
+from typing import Any, Dict, List, Optional, Tuple, Union
 
 
 def safe_get_with_brackets(
@@ -14,7 +14,7 @@ def safe_get_with_brackets(
 
 
 def safe_get(
-    container: Union[str, List[Any], Dict[Any, Any]],
+    container: Union[str, List[Any], Dict[Any, Any], Tuple],
     key: Any,
     default: Optional[Any] = None,
 ) -> Any:
diff --git a/guardrails/utils/telemetry_utils.py b/guardrails/utils/telemetry_utils.py
new file mode 100644
index 000000000..16421c780
--- /dev/null
+++ b/guardrails/utils/telemetry_utils.py
@@ -0,0 +1,310 @@
+import sys
+from functools import wraps
+from operator import attrgetter
+from typing import Any, List, Optional, Union
+
+from opentelemetry import context
+from opentelemetry.context import Context
+from opentelemetry.trace import StatusCode, Tracer
+
+from guardrails.stores.context import get_tracer as get_context_tracer
+from guardrails.stores.context import get_tracer_context
+from guardrails.utils.casting_utils import to_string
+from guardrails.utils.logs_utils import ValidatorLogs
+from guardrails.utils.reask_utils import ReAsk
+from guardrails.validator_base import Filter, Refrain
+
+
+def get_result_type(before_value: Any, after_value: Any, outcome: str):
+    try:
+        if isinstance(after_value, (Filter, Refrain, ReAsk)):
+            name = after_value.__class__.__name__.lower()
+        elif after_value != before_value:
+            name = "fix"
+        else:
+            name = outcome
+        return name
+    except Exception:
+        return type(after_value)
+
+
+def get_tracer(tracer: Optional[Tracer] = None) -> Union[Tracer, None]:
+    # TODO: Do we ever need to consider supporting non-otel tracers?
+    _tracer = tracer if tracer is not None else get_context_tracer()
+    return _tracer
+
+
+def get_current_context() -> Union[Context, None]:
+    otel_current_context = (
+        context.get_current()
+        if context is not None and hasattr(context, "get_current")
+        else None
+    )
+    tracer_context = get_tracer_context()
+    return otel_current_context or tracer_context
+
+
+def get_span(span=None):
+    if span is not None and hasattr(span, "add_event"):
+        return span
+    try:
+        from opentelemetry import trace
+
+        current_context = get_current_context()
+        current_span = trace.get_current_span(current_context)
+        return current_span
+    except Exception as e:
+        print(e)
+        return None
+
+
+def trace_validator_result(
+    current_span, validator_log: ValidatorLogs, attempt_number: int, **kwargs
+):
+    (
+        validator_name,
+        value_before_validation,
+        validation_result,
+        value_after_validation,
+        start_time,
+        end_time,
+        instance_id,
+    ) = attrgetter(
+        "registered_name",
+        "value_before_validation",
+        "validation_result",
+        "value_after_validation",
+        "start_time",
+        "end_time",
+        "instance_id",
+    )(
+        validator_log
+    )
+    result = (
+        validation_result.outcome
+        if hasattr(validation_result, "outcome")
+        and validation_result.outcome is not None
+        else "unknown"
+    )
+    result_type = get_result_type(
+        value_before_validation, value_after_validation, result
+    )
+
+    event = {
+        "validator_name": validator_name,
+        "attempt_number": attempt_number,
+        "result": result,
+        "result_type": result_type,
+        "input": to_string(value_before_validation),
+        "output": to_string(value_after_validation),
+        "start_time": start_time.isoformat() if start_time else None,
+        "end_time": end_time.isoformat() if end_time else None,
+        "instance_id": instance_id,
+        **kwargs,
+    }
+    current_span.add_event(
+        f"{validator_name}_result",
+        {k: v for k, v in event.items() if v is not None},
+    )
+
+
+# FIXME: It's creating two of every event
+# Might be duplicate validator_logs?
+def trace_validation_result(
+    validation_logs: List[ValidatorLogs],
+    attempt_number: int,
+    current_span=None,
+):
+    # Duplicate logs are showing here
+    # print("validation_logs.validator_logs: ", validation_logs.validator_logs)
+    _current_span = get_span(current_span)
+    if _current_span is not None:
+        for log in validation_logs:
+            # Duplicate logs are showing here
+            # print("calling trace_validator_result with: ", log, attempt_number)
+            trace_validator_result(_current_span, log, attempt_number)
+
+        # CHECKME: disabled these because I think we flattened this structure?
+        # if validation_logs.children:
+        #     for child in validation_logs.children:
+        #         # print("calling trace_validation_result with child logs")
+        #         trace_validation_result(
+        #             validation_logs.children.get(child), attempt_number, _current_span
+        #         )
+
+
+def trace_validator(
+    validator_name: str,
+    obj_id: int,
+    # TODO - re-enable once we have namespace support
+    # namespace: str = None,
+    on_fail_descriptor: Optional[str] = None,
+    tracer: Optional[Tracer] = None,
+    **init_kwargs,
+):
+    def trace_validator_wrapper(fn):
+        _tracer = get_tracer(tracer)
+
+        @wraps(fn)
+        def with_trace(*args, **kwargs):
+            span_name = (
+                # TODO - re-enable once we have namespace support
+                # f"{namespace}.{validator_name}.validate"
+                # if namespace is not None
+                # else f"{validator_name}.validate"
+                f"{validator_name}.validate"
+            )
+            trace_context = get_current_context()
+            if _tracer is None:
+                return fn(*args, **kwargs)
+            with _tracer.start_as_current_span(
+                span_name, trace_context
+            ) as validator_span:
+                try:
+                    validator_span.set_attribute(
+                        "on_fail_descriptor", on_fail_descriptor or "noop"
+                    )
+                    validator_span.set_attribute(
+                        "args",
+                        to_string({k: to_string(v) for k, v in init_kwargs.items()})
+                        or "{}",
+                    )
+                    validator_span.set_attribute("instance_id", to_string(obj_id) or "")
+
+                    # NOTE: Update if Validator.validate method signature ever changes
+                    if args is not None and len(args) > 1:
+                        validator_span.set_attribute("input", to_string(args[1]) or "")
+
+                    return fn(*args, **kwargs)
+                except Exception as e:
+                    validator_span.set_status(
+                        status=StatusCode.ERROR, description=str(e)
+                    )
+                    raise e
+
+        @wraps(fn)
+        def without_a_trace(*args, **kwargs):
+            return fn(*args, **kwargs)
+
+        if _tracer is not None and hasattr(_tracer, "start_as_current_span"):
+            return with_trace
+        else:
+            return without_a_trace
+
+    return trace_validator_wrapper
+
+
+def trace(name: str, tracer: Optional[Tracer] = None):
+    def trace_wrapper(fn):
+        @wraps(fn)
+        def to_trace_or_not_to_trace(*args, **kwargs):
+            _tracer = get_tracer(tracer)
+
+            if _tracer is not None and hasattr(_tracer, "start_as_current_span"):
+                trace_context = get_current_context()
+                with _tracer.start_as_current_span(name, trace_context) as trace_span:
+                    try:
+                        # TODO: Capture args and kwargs as attributes?
+                        response = fn(*args, **kwargs)
+                        return response
+                    except Exception as e:
+                        trace_span.set_status(
+                            status=StatusCode.ERROR, description=str(e)
+                        )
+                        raise e
+            else:
+                return fn(*args, **kwargs)
+
+        return to_trace_or_not_to_trace
+
+    return trace_wrapper
+
+
+def async_trace(name: str, tracer: Optional[Tracer] = None):
+    def trace_wrapper(fn):
+        @wraps(fn)
+        async def to_trace_or_not_to_trace(*args, **kwargs):
+            _tracer = get_tracer(tracer)
+
+            if _tracer is not None and hasattr(_tracer, "start_as_current_span"):
+                trace_context = get_current_context()
+                with _tracer.start_as_current_span(name, trace_context) as trace_span:
+                    try:
+                        # TODO: Capture args and kwargs as attributes?
+                        response = await fn(*args, **kwargs)
+                        return response
+                    except Exception as e:
+                        trace_span.set_status(
+                            status=StatusCode.ERROR, description=str(e)
+                        )
+                        raise e
+            else:
+                response = await fn(*args, **kwargs)
+                return response
+
+        return to_trace_or_not_to_trace
+
+    return trace_wrapper
+
+
+def default_otel_collector_tracer(resource_name: str = "guardsrails"):
+    """This is the standard otel tracer set to talk to a grpc open telemetry
+    collector running on port 4317."""
+
+    from opentelemetry import trace
+    from opentelemetry.exporter.otlp.proto.grpc.trace_exporter import OTLPSpanExporter
+    from opentelemetry.sdk.resources import SERVICE_NAME, Resource
+    from opentelemetry.sdk.trace import TracerProvider
+    from opentelemetry.sdk.trace.export import BatchSpanProcessor
+
+    resource = Resource(attributes={SERVICE_NAME: resource_name})
+
+    traceProvider = TracerProvider(resource=resource)
+    processor = BatchSpanProcessor(
+        OTLPSpanExporter(endpoint="localhost:4317", insecure=True)
+    )
+    traceProvider.add_span_processor(processor)
+    trace.set_tracer_provider(traceProvider)
+
+    return trace.get_tracer("gr")
+
+
+def default_otlp_tracer(resource_name: str = "guardsrails"):
+    """This tracer will emit spans directly to an otlp endpoint, configured by
+    the following environment variables:
+
+    OTEL_EXPORTER_OTLP_PROTOCOL
+    OTEL_EXPORTER_OTLP_TRACES_ENDPOINT
+    OTEL_EXPORTER_OTLP_HEADERS
+
+    We recommend using Grafana to collect your metrics. A full example of how to
+    do that is in our (docs)[https://docs.guardsrails.com/telemetry]
+    """
+    import os
+
+    from opentelemetry import trace
+    from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
+    from opentelemetry.sdk.resources import SERVICE_NAME, Resource
+    from opentelemetry.sdk.trace import TracerProvider
+    from opentelemetry.sdk.trace.export import (
+        BatchSpanProcessor,
+        ConsoleSpanExporter,
+        SimpleSpanProcessor,
+    )
+
+    envvars_exist = os.environ.get("OTEL_EXPORTER_OTLP_PROTOCOL") and os.environ.get(
+        "OTEL_EXPORTER_OTLP_TRACES_ENDPOINT"
+    )
+
+    resource = Resource(attributes={SERVICE_NAME: resource_name})
+
+    traceProvider = TracerProvider(resource=resource)
+    if envvars_exist:
+        processor = BatchSpanProcessor(OTLPSpanExporter())
+    else:
+        processor = SimpleSpanProcessor(ConsoleSpanExporter(out=sys.stderr))
+
+    traceProvider.add_span_processor(processor)
+    trace.set_tracer_provider(traceProvider)
+
+    return trace.get_tracer("gr")
diff --git a/guardrails/utils/validator_utils.py b/guardrails/utils/validator_utils.py
index a42f10c37..badfa8f80 100644
--- a/guardrails/utils/validator_utils.py
+++ b/guardrails/utils/validator_utils.py
@@ -2,6 +2,11 @@
 """This module contains the constants and utils used by the validator.py."""
 
 
+from typing import Any, Dict, List, Optional, Tuple, Type, Union
+
+from guardrails.utils.safe_get import safe_get
+from guardrails.validator_base import Validator
+
 PROVENANCE_V1_PROMPT = """Instruction:
 As an Attribution Validator, you task is to verify whether the following contexts support the claim:
 
@@ -13,3 +18,37 @@
 
 Just respond with a "Yes" or "No" to indicate whether the given contexts support the claim.
 Response:"""
+
+
+def get_validator(
+    validator: Union[
+        Validator,
+        Type[Validator],
+        Tuple[
+            Type[Validator],
+            Optional[Union[List[Any], Dict[str, Any]]],
+            Optional[Dict[str, Any]],
+        ],
+    ],
+    *args,
+    **kwargs,
+) -> Validator:
+    invalid_error = ValueError(f"Invalid arguments! {validator}")
+    if isinstance(validator, Validator):
+        return validator
+    elif isinstance(validator, Type):
+        return validator(*args, **kwargs)
+    elif isinstance(validator, Tuple):
+        validator_cls = safe_get(validator, 0)
+        args = safe_get(validator, 1, [])
+        kwargs = {}
+        if isinstance(args, Dict):
+            kwargs = args
+            args = []
+        kwargs = safe_get(validator, 2, kwargs)
+        if validator_cls:
+            validator_inst = validator_cls(*args, **kwargs)
+            return validator_inst
+        raise invalid_error
+    else:
+        raise invalid_error
diff --git a/guardrails/validator_base.py b/guardrails/validator_base.py
index 574b47451..e31c40ac0 100644
--- a/guardrails/validator_base.py
+++ b/guardrails/validator_base.py
@@ -1,12 +1,27 @@
 import inspect
 from collections import defaultdict
-from typing import Any, Callable, Dict, List, Literal, Optional, Tuple, Type, Union
-
+from copy import deepcopy
+from string import Template
+from typing import (
+    Any,
+    Callable,
+    Dict,
+    List,
+    Literal,
+    Optional,
+    Tuple,
+    Type,
+    Union,
+    cast,
+)
+
+from langchain_core.messages import BaseMessage
+from langchain_core.runnables import Runnable, RunnableConfig
 from pydantic import BaseModel, Field
 
-
-class ValidatorError(Exception):
-    """Base class for all validator errors."""
+from guardrails.classes import InputType
+from guardrails.constants import hub
+from guardrails.errors import ValidationError
 
 
 class Filter:
@@ -119,6 +134,18 @@ def filter_in_dict(schema: Dict) -> Dict:
 types_to_validators = defaultdict(list)
 
 
+def validator_factory(name: str, validate: Callable):
+    def validate_wrapper(self, *args, **kwargs):
+        return validate(*args, **kwargs)
+
+    validator = type(
+        name,
+        (Validator,),
+        {"validate": validate_wrapper, "rail_alias": name},
+    )
+    return validator
+
+
 def register_validator(name: str, data_type: Union[str, List[str]]):
     """Register a validator for a data type."""
     from guardrails.datatypes import registry as types_registry
@@ -146,11 +173,7 @@ def decorator(cls_or_func: Union[Type[Validator], Callable]):
                     f"Validator function {func.__name__} must take two arguments."
                 )
             # dynamically create Validator subclass with `validate` method as `func`
-            cls = type(
-                name,
-                (Validator,),
-                {"validate": staticmethod(func), "rail_alias": name},
-            )
+            cls = validator_factory(name, func)
         else:
             raise ValueError(
                 "Only functions and Validator subclasses "
@@ -162,6 +185,18 @@ def decorator(cls_or_func: Union[Type[Validator], Callable]):
     return decorator
 
 
+def get_validator(name: str):
+    is_hub_validator = name.startswith(hub)
+    validator_key = name.replace(hub, "") if is_hub_validator else name
+    registration = validators_registry.get(validator_key)
+    if not registration and name.startswith(hub):
+        # This should import everything and trigger registration
+        import guardrails.hub  # noqa
+
+        return validators_registry.get(validator_key)
+    return registration
+
+
 class ValidationResult(BaseModel):
     outcome: str
     metadata: Optional[Dict[str, Any]] = None
@@ -184,7 +219,7 @@ class FailResult(ValidationResult):
     fix_value: Optional[Any] = None
 
 
-class Validator:
+class Validator(Runnable):
     """Base class for validators."""
 
     rail_alias: str
@@ -192,6 +227,7 @@ class Validator:
     run_in_separate_process = False
     override_value_on_pass = False
     required_metadata_keys = []
+    _metadata = {}
 
     def __init__(self, on_fail: Optional[Union[Callable, str]] = None, **kwargs):
         if on_fail is None:
@@ -278,5 +314,81 @@ def __eq__(self, other):
             return False
         return self.to_prompt() == other.to_prompt()
 
+    # TODO: Make this a generic method on an abstract class
+    def __stringify__(self):
+        template = Template(
+            """
+            ${class_name} {
+                rail_alias: ${rail_alias},
+                on_fail: ${on_fail_descriptor},
+                run_in_separate_process: ${run_in_separate_process},
+                override_value_on_pass: ${override_value_on_pass},
+                required_metadata_keys: ${required_metadata_keys},
+                kwargs: ${kwargs}
+            }"""
+        )
+        return template.safe_substitute(
+            {
+                "class_name": self.__class__.__name__,
+                "rail_alias": self.rail_alias,
+                "on_fail_descriptor": self.on_fail_descriptor,
+                "run_in_separate_process": self.run_in_separate_process,
+                "override_value_on_pass": self.override_value_on_pass,
+                "required_metadata_keys": self.required_metadata_keys,
+                "kwargs": self._kwargs,
+            }
+        )
+
+    def invoke(
+        self, input: InputType, config: Optional[RunnableConfig] = None
+    ) -> InputType:
+        output = BaseMessage(content="", type="")
+        str_input = None
+        input_is_chat_message = False
+        if isinstance(input, BaseMessage):
+            input_is_chat_message = True
+            str_input = str(input.content)
+            output = deepcopy(input)
+        else:
+            str_input = str(input)
+
+        response = self.validate(str_input, self._metadata)
+
+        if isinstance(response, FailResult):
+            raise ValidationError(
+                (
+                    "The response from the LLM failed validation!"
+                    f"{response.error_message}"
+                )
+            )
+
+        if input_is_chat_message:
+            output.content = str_input
+            return cast(InputType, output)
+        return cast(InputType, str_input)
+
+    """
+    This method allows the user to provide metadata to validators used in an LCEL chain.
+    This is necessary because they can't pass metadata directly to `validate` in a chain
+        because is called internally during `invoke`.
+
+    Usage
+    ---
+    my_validator = Validator(args).with_metadata({ "key": "value" })
+
+    chain = prompt | model | my_validator | output_parser
+    chain.invoke({...})
+
+    When called multiple times on the same validator instance,
+        the metadata value will be override.
+    This allows the user to change the metadata programmatically
+        for different chains or calls.
+    """
+
+    def with_metadata(self, metadata: Dict[str, Any]):
+        """Assigns metadata to this validator to use during validation."""
+        self._metadata = metadata
+        return self
+
 
 ValidatorSpec = Union[Validator, Tuple[Union[Validator, str, Callable], str]]
diff --git a/guardrails/validator_service.py b/guardrails/validator_service.py
index 7a58612b8..46c5ba8da 100644
--- a/guardrails/validator_service.py
+++ b/guardrails/validator_service.py
@@ -2,21 +2,26 @@
 import itertools
 import os
 from concurrent.futures import ProcessPoolExecutor
+from datetime import datetime
 from typing import Any, Dict, List, Optional, Tuple
 
+from guardrails.classes.credentials import Credentials
 from guardrails.classes.history import Iteration
 from guardrails.datatypes import FieldValidation
+from guardrails.errors import ValidationError
 from guardrails.logger import logger
+from guardrails.utils.hub_telemetry_utils import HubTelemetry
 from guardrails.utils.logs_utils import ValidatorLogs
 from guardrails.utils.reask_utils import FieldReAsk, ReAsk
 from guardrails.utils.safe_get import safe_get
+from guardrails.utils.telemetry_utils import trace_validator
 from guardrails.validator_base import (
     FailResult,
     Filter,
     PassResult,
     Refrain,
+    ValidationResult,
     Validator,
-    ValidatorError,
 )
 
 
@@ -27,6 +32,26 @@ def key_not_empty(key: str) -> bool:
 class ValidatorServiceBase:
     """Base class for validator services."""
 
+    # NOTE: This is avoiding an issue with multiprocessing.
+    #       If we wrap the validate methods at the class level or anytime before
+    #       loop.run_in_executor is called, multiprocessing fails with a Pickling error.
+    #       This is a well known issue without any real solutions.
+    #       Using `fork` instead of `spawn` may alleviate the symptom for POSIX systems,
+    #       but is relatively unsupported on Windows.
+    def execute_validator(
+        self, validator: Validator, value: Any, metadata: Optional[Dict]
+    ) -> ValidationResult:
+        traced_validator = trace_validator(
+            validator_name=validator.rail_alias,
+            obj_id=id(validator),
+            # TODO - re-enable once we have namespace support
+            # namespace=validator.namespace,
+            on_fail_descriptor=validator.on_fail_descriptor,
+            **validator._kwargs,
+        )(validator.validate)
+        result = traced_validator(value, metadata)
+        return result
+
     def perform_correction(
         self,
         results: List[FailResult],
@@ -35,10 +60,15 @@ def perform_correction(
         on_fail_descriptor: str,
     ):
         if on_fail_descriptor == "fix":
+            # FIXME: Should we still return fix_value if it is None?
+            # I think we should warn and return the original value.
             return results[0].fix_value
         elif on_fail_descriptor == "fix_reask":
+            # FIXME: Same thing here
             fixed_value = results[0].fix_value
-            result = validator.validate(fixed_value, results[0].metadata or {})
+            result = self.execute_validator(
+                validator, fixed_value, results[0].metadata or {}
+            )
 
             if isinstance(result, FailResult):
                 return FieldReAsk(
@@ -57,7 +87,7 @@ def perform_correction(
                 fail_results=results,
             )
         if on_fail_descriptor == "exception":
-            raise ValidatorError(
+            raise ValidationError(
                 "Validation failed for field with errors: "
                 + ", ".join([result.error_message for result in results])
             )
@@ -85,15 +115,44 @@ def run_validator(
         validator_logs = ValidatorLogs(
             validator_name=validator_class_name,
             value_before_validation=value,
+            registered_name=validator.rail_alias,
             property_path=property_path,
         )
         iteration.outputs.validator_logs.append(validator_logs)
 
+        start_time = datetime.now()
+        result = self.execute_validator(validator, value, metadata)
+        end_time = datetime.now()
+
         result = validator.validate(value, metadata)
         if result is None:
             result = PassResult()
 
         validator_logs.validation_result = result
+        validator_logs.start_time = start_time
+        validator_logs.end_time = end_time
+        # If we ever re-use validator instances across multiple properties,
+        #   this will have to change.
+        validator_logs.instance_id = id(validator)
+
+        # Get metrics opt-out from credentials
+        disable_tracer = Credentials.from_rc_file().no_metrics
+
+        if not disable_tracer:
+            # Get HubTelemetry singleton and create a new span to
+            # log the validator usage
+            _hub_telemetry = HubTelemetry()
+            _hub_telemetry.create_new_span(
+                span_name="/validator_usage",
+                attributes=[
+                    ("validator_name", validator.rail_alias),
+                    ("validator_on_fail", validator.on_fail_descriptor),
+                    ("validator_result", result.outcome),
+                ],
+                is_parent=False,  # This span will have no children
+                has_parent=True,  # This span has a parent
+            )
+
         return validator_logs
 
 
diff --git a/guardrails/validators/extracted_summary_sentences_match.py b/guardrails/validators/extracted_summary_sentences_match.py
index 1347764d8..74b02b56f 100644
--- a/guardrails/validators/extracted_summary_sentences_match.py
+++ b/guardrails/validators/extracted_summary_sentences_match.py
@@ -77,6 +77,10 @@ def _instantiate_store(
         return EphemeralDocumentStore(vector_db)
 
     def validate(self, value: Any, metadata: Dict) -> ValidationResult:
+        if not metadata:
+            # default to value provided via Validator.with_metadata
+            metadata = self._metadata
+
         if "filepaths" not in metadata:
             raise RuntimeError(
                 "extracted-sentences-summary-match validator expects "
diff --git a/guardrails/validators/extractive_summary.py b/guardrails/validators/extractive_summary.py
index eaf22d502..a50088264 100644
--- a/guardrails/validators/extractive_summary.py
+++ b/guardrails/validators/extractive_summary.py
@@ -53,6 +53,9 @@ def __init__(
 
     def validate(self, value: Any, metadata: Dict) -> ValidationResult:
         """Make sure each sentence was precisely copied from the document."""
+        if not metadata:
+            # default to value provided via Validator.with_metadata
+            metadata = self._metadata
 
         if "filepaths" not in metadata:
             raise RuntimeError(
diff --git a/guardrails/validators/is_high_quality_translation.py b/guardrails/validators/is_high_quality_translation.py
index 469a2c602..714490343 100644
--- a/guardrails/validators/is_high_quality_translation.py
+++ b/guardrails/validators/is_high_quality_translation.py
@@ -74,6 +74,10 @@ def __init__(self, *args, **kwargs):
             ) from e
 
     def validate(self, value: Any, metadata: Dict) -> ValidationResult:
+        if not metadata:
+            # default to value provided via Validator.with_metadata
+            metadata = self._metadata
+
         if "translation_source" not in metadata:
             raise RuntimeError(
                 "is-high-quality-translation validator expects "
diff --git a/guardrails/validators/pii_filter.py b/guardrails/validators/pii_filter.py
index ab050b6d3..f8cb07d6b 100644
--- a/guardrails/validators/pii_filter.py
+++ b/guardrails/validators/pii_filter.py
@@ -99,6 +99,10 @@ def get_anonymized_text(self, text: str, entities: List[str]) -> str:
 
     def validate(self, value: Any, metadata: Dict[str, Any]) -> ValidationResult:
         # Entities to filter passed through metadata take precedence
+        if not metadata:
+            # default to value provided via Validator.with_metadata
+            metadata = self._metadata
+
         pii_entities = metadata.get("pii_entities", self.pii_entities)
         if pii_entities is None:
             raise ValueError(
diff --git a/guardrails/validators/provenance.py b/guardrails/validators/provenance.py
index c19d7a725..f33df8716 100644
--- a/guardrails/validators/provenance.py
+++ b/guardrails/validators/provenance.py
@@ -593,6 +593,10 @@ def validate_full_text(
         return PassResult(metadata=metadata)
 
     def validate(self, value: Any, metadata: Dict[str, Any]) -> ValidationResult:
+        if not metadata:
+            # default to value provided via Validator.with_metadata
+            metadata = self._metadata
+
         kwargs = {}
         context_copy = contextvars.copy_context()
         for key, context_var in context_copy.items():
diff --git a/guardrails/validators/qa_relevance_llm_eval.py b/guardrails/validators/qa_relevance_llm_eval.py
index c44d24401..510e11f0a 100644
--- a/guardrails/validators/qa_relevance_llm_eval.py
+++ b/guardrails/validators/qa_relevance_llm_eval.py
@@ -79,6 +79,10 @@ def _selfeval(self, question: str, answer: str) -> Dict:
         return validated_output
 
     def validate(self, value: Any, metadata: Dict) -> ValidationResult:
+        if not metadata:
+            # default to value provided via Validator.with_metadata
+            metadata = self._metadata
+
         if "question" not in metadata:
             raise RuntimeError(
                 "qa-relevance-llm-eval validator expects " "`question` key in metadata"
diff --git a/guardrails/validators/reading_time.py b/guardrails/validators/reading_time.py
index 476f10dc3..433fbae10 100644
--- a/guardrails/validators/reading_time.py
+++ b/guardrails/validators/reading_time.py
@@ -1,4 +1,4 @@
-from typing import Any, Dict
+from typing import Any, Dict, Optional
 
 from guardrails.logger import logger
 from guardrails.validator_base import (
@@ -25,28 +25,27 @@ class ReadingTime(Validator):
 
     Args:
 
-        reading_time: The maximum reading time.
+        reading_time: The maximum reading time in minutes.
     """
 
-    def __init__(self, reading_time: int, on_fail: str = "fix"):
+    def __init__(self, reading_time: int, on_fail: Optional[str] = None):
         super().__init__(on_fail=on_fail, reading_time=reading_time)
         self._max_time = reading_time
 
     def validate(self, value: Any, metadata: Dict) -> ValidationResult:
         logger.debug(
-            f"Validating {value} can be read in less than {self._max_time} seconds..."
+            f"Validating {value} can be read in less than {self._max_time} minutes..."
         )
 
         # Estimate the reading time of the string
-        reading_time = len(value.split()) / 200 * 60
-        logger.debug(f"Estimated reading time {reading_time} seconds...")
+        reading_time = len(value.split()) / 200
+        logger.debug(f"Estimated reading time {reading_time} minutes...")
 
-        if abs(reading_time - self._max_time) > 1:
-            logger.error(f"{value} took {reading_time} to read")
+        if (reading_time - self._max_time) > 0:
+            logger.error(f"{value} took {reading_time} minutes to read")
             return FailResult(
                 error_message=f"String should be readable "
-                f"within {self._max_time} minutes.",
-                fix_value=value,
+                f"within {self._max_time} minutes."
             )
 
         return PassResult()
diff --git a/guardrails/validators/similar_to_list.py b/guardrails/validators/similar_to_list.py
index 0833f99fb..ce15f1ba9 100644
--- a/guardrails/validators/similar_to_list.py
+++ b/guardrails/validators/similar_to_list.py
@@ -77,6 +77,10 @@ def get_semantic_similarity(
         return similarity
 
     def validate(self, value: Any, metadata: Dict) -> ValidationResult:
+        if not metadata:
+            # default to value provided via Validator.with_metadata
+            metadata = self._metadata
+
         prev_values = metadata.get("prev_values", [])
         if not prev_values:
             raise ValueError("You must provide a list of previous values in metadata.")
diff --git a/guardrails/validators/toxic_language.py b/guardrails/validators/toxic_language.py
index b10d11ab0..9cd740c75 100644
--- a/guardrails/validators/toxic_language.py
+++ b/guardrails/validators/toxic_language.py
@@ -184,6 +184,10 @@ def validate_full_text(
         return PassResult()
 
     def validate(self, value: str, metadata: Dict[str, Any]) -> ValidationResult:
+        if not metadata:
+            # default to value provided via Validator.with_metadata
+            metadata = self._metadata
+
         if not value:
             raise ValueError("Value cannot be empty.")
 
diff --git a/guardrails/validatorsattr.py b/guardrails/validatorsattr.py
index 5961a5676..9ca47bc0a 100644
--- a/guardrails/validatorsattr.py
+++ b/guardrails/validatorsattr.py
@@ -5,6 +5,7 @@
 import lxml.etree as ET
 import pydantic
 
+from guardrails.constants import hub
 from guardrails.utils.xml_utils import cast_xml_to_string
 from guardrails.validator_base import Validator, ValidatorSpec
 
@@ -82,10 +83,18 @@ def from_validators(
                 elif isinstance(validator, str):
                     # `validator` is a string, use it as the validator prompt
                     if ":" in validator:
-                        parts = validator.split(":", 1)
-                        validator_name = parts[0].strip()
+                        is_hub_validator = validator.startswith(hub)
+                        max_splits = 2 if is_hub_validator else 1
+                        parts = validator.split(":", max_splits)
+                        validator_name = (
+                            ":".join(parts[0:2])
+                            if is_hub_validator
+                            else parts[0].strip()
+                        )
                         validator_args = [
-                            arg.strip() for arg in parts[1].split() if len(parts) > 1
+                            arg.strip()
+                            for arg in parts[max_splits].split()
+                            if len(parts) > 1
                         ]
                     else:
                         validator_name = validator
@@ -197,11 +206,20 @@ def parse_token(token: str) -> Tuple[str, List[Any]]:
         Returns:
             A tuple of the validator name and the list of arguments.
         """
-        validator_with_args = token.strip().split(":", 1)
+        is_hub_validator = token.startswith(hub)
+        max_splits = 2 if is_hub_validator else 1
+
+        validator_with_args = token.strip().split(":", max_splits)
         if len(validator_with_args) == 1:
             return validator_with_args[0].strip(), []
+        elif is_hub_validator and len(validator_with_args) == 2:
+            return ":".join(validator_with_args[0:2]).strip(), []
 
-        validator, args_token = validator_with_args
+        validator, args_token = (
+            [":".join(validator_with_args[0:2]).strip(), validator_with_args[2]]
+            if is_hub_validator
+            else validator_with_args
+        )
 
         # Split using whitespace as a delimiter, but not if it is inside curly braces or
         # single quotes.
@@ -273,11 +291,23 @@ def get_validators(
         Returns:
             A list of validators.
         """
-        from guardrails.validator_base import types_to_validators, validators_registry
+        from guardrails.validator_base import get_validator, types_to_validators
 
         _validators = []
         _unregistered_validators = []
-        for validator_name, args in validator_args.items():
+        for validator_ref, args in validator_args.items():
+            # Get or fetch validator
+            validator = get_validator(validator_ref)
+            validator_name = validator_ref.replace(hub, "")
+
+            if not validator:
+                if strict:
+                    raise ValueError(f"Validator {validator_name} is not installed!")
+                else:
+                    warnings.warn(f"Validator {validator_name} is not installed!")
+                    _unregistered_validators.append(validator_name)
+                continue
+
             # Check if the validator is registered for this element.
             # The validators in `format` that are not registered for this element
             # will be ignored (with an error or warning, depending on the value of
@@ -296,8 +326,6 @@ def get_validators(
                     _unregistered_validators.append(validator_name)
                 continue
 
-            validator = validators_registry[validator_name]
-
             # See if the formatter has an associated on_fail method.
             on_fail = on_fail_handlers.get(validator_name, None)
             # TODO(shreya): Load the on_fail method.
diff --git a/poetry.lock b/poetry.lock
index eacfc0f10..603a89e7d 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,87 +2,87 @@
 
 [[package]]
 name = "aiohttp"
-version = "3.9.2"
+version = "3.9.3"
 description = "Async http client/server framework (asyncio)"
 optional = true
 python-versions = ">=3.8"
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+    {file = "aiohttp-3.9.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8e2c45c208c62e955e8256949eb225bd8b66a4c9b6865729a786f2aa79b72e9d"},
+    {file = "aiohttp-3.9.3-cp39-cp39-win32.whl", hash = "sha256:f7217af2e14da0856e082e96ff637f14ae45c10a5714b63c77f26d8884cf1051"},
+    {file = "aiohttp-3.9.3-cp39-cp39-win_amd64.whl", hash = "sha256:27468897f628c627230dba07ec65dc8d0db566923c48f29e084ce382119802bc"},
+    {file = "aiohttp-3.9.3.tar.gz", hash = "sha256:90842933e5d1ff760fae6caca4b2b3edba53ba8f4b71e95dacf2818a2aca06f7"},
 ]
 
 [package.dependencies]
@@ -193,20 +193,20 @@ trio = ["trio (>=0.23)"]
 
 [[package]]
 name = "appnope"
-version = "0.1.3"
+version = "0.1.4"
 description = "Disable App Nap on macOS >= 10.9"
 optional = false
-python-versions = "*"
+python-versions = ">=3.6"
 files = [
-    {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"},
-    {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"},
+    {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"},
+    {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"},
 ]
 
 [[package]]
 name = "argon2-cffi"
 version = "23.1.0"
 description = "Argon2 for Python"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "argon2_cffi-23.1.0-py3-none-any.whl", hash = "sha256:c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea"},
@@ -226,7 +226,7 @@ typing = ["mypy"]
 name = "argon2-cffi-bindings"
 version = "21.2.0"
 description = "Low-level CFFI bindings for Argon2"
-optional = false
+optional = true
 python-versions = ">=3.6"
 files = [
     {file = "argon2-cffi-bindings-21.2.0.tar.gz", hash = "sha256:bb89ceffa6c791807d1305ceb77dbfacc5aa499891d2c55661c6459651fc39e3"},
@@ -263,7 +263,7 @@ tests = ["pytest"]
 name = "arrow"
 version = "1.3.0"
 description = "Better dates & times for Python"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "arrow-1.3.0-py3-none-any.whl", hash = "sha256:c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80"},
@@ -300,7 +300,7 @@ test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
 name = "async-lru"
 version = "2.0.4"
 description = "Simple LRU cache for asyncio"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "async-lru-2.0.4.tar.gz", hash = "sha256:b8a59a5df60805ff63220b2a0c5b5393da5521b113cd5465a44eb037d81a5627"},
@@ -323,21 +323,22 @@ files = [
 
 [[package]]
 name = "attrs"
-version = "23.1.0"
+version = "23.2.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"},
-    {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"},
+    {file = "attrs-23.2.0-py3-none-any.whl", hash = "sha256:99b87a485a5820b23b879f04c2305b44b951b502fd64be915879d77a7e8fc6f1"},
+    {file = "attrs-23.2.0.tar.gz", hash = "sha256:935dc3b529c262f6cf76e50877d35a4bd3c1de194fd41f47a2b7ae8f19971f30"},
 ]
 
 [package.extras]
 cov = ["attrs[tests]", "coverage[toml] (>=5.3)"]
-dev = ["attrs[docs,tests]", "pre-commit"]
+dev = ["attrs[tests]", "pre-commit"]
 docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"]
 tests = ["attrs[tests-no-zope]", "zope-interface"]
-tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
+tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
 [[package]]
 name = "babel"
@@ -367,53 +368,67 @@ files = [
     {file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
 ]
 
+[[package]]
+name = "backoff"
+version = "2.2.1"
+description = "Function decoration for backoff and retry"
+optional = false
+python-versions = ">=3.7,<4.0"
+files = [
+    {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
+    {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
+]
+
 [[package]]
 name = "beautifulsoup4"
-version = "4.12.2"
+version = "4.12.3"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.6.0"
 files = [
-    {file = "beautifulsoup4-4.12.2-py3-none-any.whl", hash = "sha256:bd2520ca0d9d7d12694a53d44ac482d181b4ec1888909b035a3dbf40d0f57d4a"},
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+    {file = "beautifulsoup4-4.12.3-py3-none-any.whl", hash = "sha256:b80878c9f40111313e55da8ba20bdba06d8fa3969fc68304167741bbf9e082ed"},
+    {file = "beautifulsoup4-4.12.3.tar.gz", hash = "sha256:74e3d1928edc070d21748185c46e3fb33490f22f52a3addee9aee0f4f7781051"},
 ]
 
 [package.dependencies]
 soupsieve = ">1.2"
 
 [package.extras]
+cchardet = ["cchardet"]
+chardet = ["chardet"]
+charset-normalizer = ["charset-normalizer"]
 html5lib = ["html5lib"]
 lxml = ["lxml"]
 
 [[package]]
 name = "black"
-version = "23.12.0"
+version = "23.12.1"
 description = "The uncompromising code formatter."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "black-23.12.1-cp39-cp39-win_amd64.whl", hash = "sha256:dd15245c8b68fe2b6bd0f32c1556509d11bb33aec9b5d0866dd8e2ed3dba09c2"},
+    {file = "black-23.12.1-py3-none-any.whl", hash = "sha256:78baad24af0f033958cad29731e27363183e140962595def56423e626f4bee3e"},
+    {file = "black-23.12.1.tar.gz", hash = "sha256:4ce3ef14ebe8d9509188014d96af1c456a910d5b5cbf434a09fef7e024b3d0d5"},
 ]
 
 [package.dependencies]
@@ -565,13 +580,13 @@ files = [
 
 [[package]]
 name = "certifi"
-version = "2023.11.17"
+version = "2024.2.2"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
-    {file = "certifi-2023.11.17-py3-none-any.whl", hash = "sha256:e036ab49d5b79556f99cfc2d9320b34cfbe5be05c5871b51de9329f0603b0474"},
-    {file = "certifi-2023.11.17.tar.gz", hash = "sha256:9b469f3a900bf28dc19b8cfbf8019bf47f7fdd1a65a1d4ffb98fc14166beb4d1"},
+    {file = "certifi-2024.2.2-py3-none-any.whl", hash = "sha256:dc383c07b76109f368f6106eee2b593b04a011ea4d55f652c6ca24a754d1cdd1"},
+    {file = "certifi-2024.2.2.tar.gz", hash = "sha256:0569859f95fc761b18b45ef421b1290a0f65f147e92a1e5eb3e635f9a5e4e66f"},
 ]
 
 [[package]]
@@ -803,15 +818,32 @@ files = [
     {file = "colored-1.4.4.tar.gz", hash = "sha256:04ff4d4dd514274fe3b99a21bb52fb96f2688c01e93fba7bef37221e7cb56ce0"},
 ]
 
+[[package]]
+name = "coloredlogs"
+version = "15.0.1"
+description = "Colored terminal output for Python's logging module"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
+    {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
+    {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
+]
+
+[package.dependencies]
+humanfriendly = ">=9.1"
+
+[package.extras]
+cron = ["capturer (>=2.4)"]
+
 [[package]]
 name = "comm"
-version = "0.2.0"
+version = "0.2.1"
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 [package.dependencies]
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 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = ">=3.7"
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 ]
 
 [package.dependencies]
@@ -1054,29 +1086,33 @@ typing-extensions = ">=3.10.0"
 
 [[package]]
 name = "debugpy"
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 description = "An implementation of the Debug Adapter Protocol for Python"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [[package]]
@@ -1150,13 +1186,13 @@ files = [
 
 [[package]]
 name = "distro"
-version = "1.8.0"
+version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
@@ -1280,16 +1316,16 @@ test = ["testtools (>=1.8.0)"]
 
 [[package]]
 name = "entmax"
-version = "1.1"
+version = "1.3"
 description = "The entmax mapping and its loss, a family of sparse alternatives to softmax."
 optional = true
 python-versions = ">=3.5"
 files = [
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 ]
 
 [package.dependencies]
-torch = ">=1.0"
+torch = ">=1.3"
 
 [[package]]
 name = "entrypoints"
@@ -1384,13 +1420,13 @@ dev = ["matplotlib", "nbdev (>=0.2.39)", "numpy", "pandas", "pillow", "torch"]
 
 [[package]]
 name = "fastjsonschema"
-version = "2.19.0"
+version = "2.19.1"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.extras]
@@ -1432,25 +1468,25 @@ typing = ["typing-extensions (>=4.8)"]
 
 [[package]]
 name = "flake8"
-version = "5.0.4"
+version = "7.0.0"
 description = "the modular source code checker: pep8 pyflakes and co"
 optional = false
-python-versions = ">=3.6.1"
+python-versions = ">=3.8.1"
 files = [
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 ]
 
 [package.dependencies]
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-pycodestyle = ">=2.9.0,<2.10.0"
-pyflakes = ">=2.5.0,<2.6.0"
+pycodestyle = ">=2.11.0,<2.12.0"
+pyflakes = ">=3.2.0,<3.3.0"
 
 [[package]]
 name = "fqdn"
 version = "1.5.1"
 description = "Validates fully-qualified domain names against RFC 1123, so that they are acceptable to modern bowsers"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0, !=3.1, !=3.2, !=3.3, !=3.4, <4"
 files = [
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@@ -1545,18 +1581,17 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2023.12.2"
+version = "2024.2.0"
 description = "File-system specification"
 optional = true
 python-versions = ">=3.8"
 files = [
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 [package.dependencies]
 aiohttp = {version = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1", optional = true, markers = "extra == \"http\""}
-requests = {version = "*", optional = true, markers = "extra == \"http\""}
 
 [package.extras]
 abfs = ["adlfs"]
@@ -1573,7 +1608,7 @@ github = ["requests"]
 gs = ["gcsfs"]
 gui = ["panel"]
 hdfs = ["pyarrow (>=1)"]
-http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)"]
 libarchive = ["libarchive-c"]
 oci = ["ocifs"]
 s3 = ["s3fs"]
@@ -1649,6 +1684,23 @@ gitdb = ">=4.0.1,<5"
 [package.extras]
 test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest (>=7.3.1)", "pytest-cov", "pytest-instafail", "pytest-mock", "pytest-sugar", "sumtypes"]
 
+[[package]]
+name = "googleapis-common-protos"
+version = "1.62.0"
+description = "Common protobufs used in Google APIs"
+optional = false
+python-versions = ">=3.7"
+files = [
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+
+[package.dependencies]
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+
+[package.extras]
+grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
+
 [[package]]
 name = "greenlet"
 version = "3.0.3"
@@ -1657,62 +1709,29 @@ optional = true
 python-versions = ">=3.7"
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@@ -1734,6 +1753,72 @@ files = [
 [package.dependencies]
 colorama = ">=0.4"
 
+[[package]]
+name = "grpcio"
+version = "1.60.1"
+description = "HTTP/2-based RPC framework"
+optional = false
+python-versions = ">=3.7"
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+    {file = "grpcio-1.60.1-cp39-cp39-win_amd64.whl", hash = "sha256:61b7199cd2a55e62e45bfb629a35b71fc2c0cb88f686a047f25b1112d3810904"},
+    {file = "grpcio-1.60.1.tar.gz", hash = "sha256:dd1d3a8d1d2e50ad9b59e10aa7f07c7d1be2b367f3f2d33c5fade96ed5460962"},
+]
+
+[package.extras]
+protobuf = ["grpcio-tools (>=1.60.1)"]
+
 [[package]]
 name = "guardrails-ai-unbabel-comet"
 version = "2.2.1"
@@ -1773,13 +1858,13 @@ files = [
 
 [[package]]
 name = "httpcore"
-version = "1.0.2"
+version = "1.0.3"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "httpcore-1.0.2-py3-none-any.whl", hash = "sha256:096cc05bca73b8e459a1fc3dcf585148f63e534eae4339559c9b8a8d6399acc7"},
-    {file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
+    {file = "httpcore-1.0.3-py3-none-any.whl", hash = "sha256:9a6a501c3099307d9fd76ac244e08503427679b1e81ceb1d922485e2f2462ad2"},
+    {file = "httpcore-1.0.3.tar.gz", hash = "sha256:5c0f9546ad17dac4d0772b0808856eb616eb8b48ce94f49ed819fd6982a8a544"},
 ]
 
 [package.dependencies]
@@ -1790,7 +1875,7 @@ h11 = ">=0.13,<0.15"
 asyncio = ["anyio (>=4.0,<5.0)"]
 http2 = ["h2 (>=3,<5)"]
 socks = ["socksio (==1.*)"]
-trio = ["trio (>=0.22.0,<0.23.0)"]
+trio = ["trio (>=0.22.0,<0.24.0)"]
 
 [[package]]
 name = "httpx"
@@ -1848,15 +1933,29 @@ testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jed
 torch = ["torch"]
 typing = ["pydantic", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3"]
 
+[[package]]
+name = "humanfriendly"
+version = "10.0"
+description = "Human friendly output for text interfaces using Python"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+files = [
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+    {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
+]
+
+[package.dependencies]
+pyreadline3 = {version = "*", markers = "sys_platform == \"win32\" and python_version >= \"3.8\""}
+
 [[package]]
 name = "identify"
-version = "2.5.33"
+version = "2.5.34"
 description = "File identification library for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "identify-2.5.33-py2.py3-none-any.whl", hash = "sha256:d40ce5fcd762817627670da8a7d8d8e65f24342d14539c59488dc603bf662e34"},
-    {file = "identify-2.5.33.tar.gz", hash = "sha256:161558f9fe4559e1557e1bff323e8631f6a0e4837f7497767c1782832f16b62d"},
+    {file = "identify-2.5.34-py2.py3-none-any.whl", hash = "sha256:a4316013779e433d08b96e5eabb7f641e6c7942e4ab5d4c509ebd2e7a8994aed"},
+    {file = "identify-2.5.34.tar.gz", hash = "sha256:ee17bc9d499899bc9eaec1ac7bf2dc9eedd480db9d88b96d123d3b64a9d34f5d"},
 ]
 
 [package.extras]
@@ -1886,13 +1985,13 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "7.0.0"
+version = "6.11.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-7.0.0-py3-none-any.whl", hash = "sha256:d97503976bb81f40a193d41ee6570868479c69d5068651eb039c40d850c59d67"},
-    {file = "importlib_metadata-7.0.0.tar.gz", hash = "sha256:7fc841f8b8332803464e5dc1c63a2e59121f46ca186c0e2e182e80bf8c1319f7"},
+    {file = "importlib_metadata-6.11.0-py3-none-any.whl", hash = "sha256:f0afba6205ad8f8947c7d338b5342d5db2afbfd82f9cbef7879a9539cc12eb9b"},
+    {file = "importlib_metadata-6.11.0.tar.gz", hash = "sha256:1231cf92d825c9e03cfc4da076a16de6422c863558229ea0b22b675657463443"},
 ]
 
 [package.dependencies]
@@ -1934,13 +2033,13 @@ files = [
 
 [[package]]
 name = "ipykernel"
-version = "6.27.1"
+version = "6.29.2"
 description = "IPython Kernel for Jupyter"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "ipykernel-6.27.1-py3-none-any.whl", hash = "sha256:dab88b47f112f9f7df62236511023c9bdeef67abc73af7c652e4ce4441601686"},
-    {file = "ipykernel-6.27.1.tar.gz", hash = "sha256:7d5d594b6690654b4d299edba5e872dc17bb7396a8d0609c97cb7b8a1c605de6"},
+    {file = "ipykernel-6.29.2-py3-none-any.whl", hash = "sha256:50384f5c577a260a1d53f1f59a828c7266d321c9b7d00d345693783f66616055"},
+    {file = "ipykernel-6.29.2.tar.gz", hash = "sha256:3bade28004e3ff624ed57974948116670604ac5f676d12339693f3142176d3f0"},
 ]
 
 [package.dependencies]
@@ -1954,7 +2053,7 @@ matplotlib-inline = ">=0.1"
 nest-asyncio = "*"
 packaging = "*"
 psutil = "*"
-pyzmq = ">=20"
+pyzmq = ">=24"
 tornado = ">=6.1"
 traitlets = ">=5.4.0"
 
@@ -1963,7 +2062,7 @@ cov = ["coverage[toml]", "curio", "matplotlib", "pytest-cov", "trio"]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "trio"]
 pyqt5 = ["pyqt5"]
 pyside6 = ["pyside6"]
-test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio", "pytest-cov", "pytest-timeout"]
+test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (==0.23.4)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "ipython"
@@ -2006,21 +2105,21 @@ test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pa
 
 [[package]]
 name = "ipywidgets"
-version = "8.1.1"
+version = "8.1.2"
 description = "Jupyter interactive widgets"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "ipywidgets-8.1.1-py3-none-any.whl", hash = "sha256:2b88d728656aea3bbfd05d32c747cfd0078f9d7e159cf982433b58ad717eed7f"},
-    {file = "ipywidgets-8.1.1.tar.gz", hash = "sha256:40211efb556adec6fa450ccc2a77d59ca44a060f4f9f136833df59c9f538e6e8"},
+    {file = "ipywidgets-8.1.2-py3-none-any.whl", hash = "sha256:bbe43850d79fb5e906b14801d6c01402857996864d1e5b6fa62dd2ee35559f60"},
+    {file = "ipywidgets-8.1.2.tar.gz", hash = "sha256:d0b9b41e49bae926a866e613a39b0f0097745d2b9f1f3dd406641b4a57ec42c9"},
 ]
 
 [package.dependencies]
 comm = ">=0.1.3"
 ipython = ">=6.1.0"
-jupyterlab-widgets = ">=3.0.9,<3.1.0"
+jupyterlab-widgets = ">=3.0.10,<3.1.0"
 traitlets = ">=4.3.1"
-widgetsnbextension = ">=4.0.9,<4.1.0"
+widgetsnbextension = ">=4.0.10,<4.1.0"
 
 [package.extras]
 test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
@@ -2040,7 +2139,7 @@ files = [
 name = "isoduration"
 version = "20.11.0"
 description = "Operations with ISO 8601 durations"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "isoduration-20.11.0-py3-none-any.whl", hash = "sha256:b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042"},
@@ -2066,21 +2165,21 @@ colors = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "jaraco-classes"
-version = "3.3.0"
+version = "3.3.1"
 description = "Utility functions for Python class constructs"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jaraco.classes-3.3.0-py3-none-any.whl", hash = "sha256:10afa92b6743f25c0cf5f37c6bb6e18e2c5bb84a16527ccfc0040ea377e7aaeb"},
-    {file = "jaraco.classes-3.3.0.tar.gz", hash = "sha256:c063dd08e89217cee02c8d5e5ec560f2c8ce6cdc2fcdc2e68f7b2e5547ed3621"},
+    {file = "jaraco.classes-3.3.1-py3-none-any.whl", hash = "sha256:86b534de565381f6b3c1c830d13f931d7be1a75f0081c57dff615578676e2206"},
+    {file = "jaraco.classes-3.3.1.tar.gz", hash = "sha256:cb28a5ebda8bc47d8c8015307d93163464f9f2b91ab4006e09ff0ce07e8bfb30"},
 ]
 
 [package.dependencies]
 more-itertools = "*"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
 
 [[package]]
 name = "jedi"
@@ -2159,7 +2258,7 @@ files = [
 name = "json5"
 version = "0.9.14"
 description = "A Python implementation of the JSON5 data format."
-optional = false
+optional = true
 python-versions = "*"
 files = [
     {file = "json5-0.9.14-py2.py3-none-any.whl", hash = "sha256:740c7f1b9e584a468dbb2939d8d458db3427f2c93ae2139d05f47e453eae964f"},
@@ -2198,6 +2297,20 @@ test = ["coverage (>=4.5.1)", "responses (>=0.12.0)"]
 test-no-urls = ["coverage (>=4.5.1)"]
 urls = ["requests (>=2.18.4)", "validators (>=0.14.2)"]
 
+[[package]]
+name = "jsonpatch"
+version = "1.33"
+description = "Apply JSON-Patches (RFC 6902)"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
+files = [
+    {file = "jsonpatch-1.33-py2.py3-none-any.whl", hash = "sha256:0ae28c0cd062bbd8b8ecc26d7d164fbbea9652a1a3693f3b956c1eae5145dade"},
+    {file = "jsonpatch-1.33.tar.gz", hash = "sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
+]
+
+[package.dependencies]
+jsonpointer = ">=1.9"
+
 [[package]]
 name = "jsonpointer"
 version = "2.4"
@@ -2211,13 +2324,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.20.0"
+version = "4.21.1"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.20.0-py3-none-any.whl", hash = "sha256:ed6231f0429ecf966f5bc8dfef245998220549cbbcf140f913b7464c52c3b6b3"},
-    {file = "jsonschema-4.20.0.tar.gz", hash = "sha256:4f614fd46d8d61258610998997743ec5492a648b33cf478c1ddc23ed4598a5fa"},
+    {file = "jsonschema-4.21.1-py3-none-any.whl", hash = "sha256:7996507afae316306f9e2290407761157c6f78002dcf7419acb99822143d1c6f"},
+    {file = "jsonschema-4.21.1.tar.gz", hash = "sha256:85727c00279f5fa6bedbe6238d2aa6403bedd8b4864ab11207d07df3cc1b2ee5"},
 ]
 
 [package.dependencies]
@@ -2242,13 +2355,13 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.11.2"
+version = "2023.12.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema_specifications-2023.11.2-py3-none-any.whl", hash = "sha256:e74ba7c0a65e8cb49dc26837d6cfe576557084a8b423ed16a420984228104f93"},
-    {file = "jsonschema_specifications-2023.11.2.tar.gz", hash = "sha256:9472fc4fea474cd74bea4a2b190daeccb5a9e4db2ea80efcf7a1b582fc9a81b8"},
+    {file = "jsonschema_specifications-2023.12.1-py3-none-any.whl", hash = "sha256:87e4fdf3a94858b8a2ba2778d9ba57d8a9cafca7c7489c46ba0d30a8bc6a9c3c"},
+    {file = "jsonschema_specifications-2023.12.1.tar.gz", hash = "sha256:48a76787b3e70f5ed53f1160d2b81f586e4ca6d1548c5de7085d1682674764cc"},
 ]
 
 [package.dependencies]
@@ -2325,13 +2438,13 @@ test = ["flaky", "pexpect", "pytest"]
 
 [[package]]
 name = "jupyter-core"
-version = "5.5.1"
+version = "5.7.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_core-5.5.1-py3-none-any.whl", hash = "sha256:220dfb00c45f0d780ce132bb7976b58263f81a3ada6e90a9b6823785a424f739"},
-    {file = "jupyter_core-5.5.1.tar.gz", hash = "sha256:1553311a97ccd12936037f36b9ab4d6ae8ceea6ad2d5c90d94a909e752178e40"},
+    {file = "jupyter_core-5.7.1-py3-none-any.whl", hash = "sha256:c65c82126453a723a2804aa52409930434598fd9d35091d63dfb919d2b765bb7"},
+    {file = "jupyter_core-5.7.1.tar.gz", hash = "sha256:de61a9d7fc71240f688b2fb5ab659fbb56979458dc66a71decd098e03c79e218"},
 ]
 
 [package.dependencies]
@@ -2347,7 +2460,7 @@ test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
 name = "jupyter-events"
 version = "0.9.0"
 description = "Jupyter Event System library"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "jupyter_events-0.9.0-py3-none-any.whl", hash = "sha256:d853b3c10273ff9bc8bb8b30076d65e2c9685579db736873de6c2232dde148bf"},
@@ -2372,7 +2485,7 @@ test = ["click", "pre-commit", "pytest (>=7.0)", "pytest-asyncio (>=0.19.0)", "p
 name = "jupyter-lsp"
 version = "2.2.2"
 description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "jupyter-lsp-2.2.2.tar.gz", hash = "sha256:256d24620542ae4bba04a50fc1f6ffe208093a07d8e697fea0a8d1b8ca1b7e5b"},
@@ -2385,13 +2498,13 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.12.1"
+version = "2.12.5"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_server-2.12.1-py3-none-any.whl", hash = "sha256:fd030dd7be1ca572e4598203f718df6630c12bd28a599d7f1791c4d7938e1010"},
-    {file = "jupyter_server-2.12.1.tar.gz", hash = "sha256:dc77b7dcc5fc0547acba2b2844f01798008667201eea27c6319ff9257d700a6d"},
+    {file = "jupyter_server-2.12.5-py3-none-any.whl", hash = "sha256:184a0f82809a8522777cfb6b760ab6f4b1bb398664c5860a27cec696cb884923"},
+    {file = "jupyter_server-2.12.5.tar.gz", hash = "sha256:0edb626c94baa22809be1323f9770cf1c00a952b17097592e40d03e6a3951689"},
 ]
 
 [package.dependencies]
@@ -2421,13 +2534,13 @@ test = ["flaky", "ipykernel", "pre-commit", "pytest (>=7.0)", "pytest-console-sc
 
 [[package]]
 name = "jupyter-server-terminals"
-version = "0.5.0"
+version = "0.5.2"
 description = "A Jupyter Server Extension Providing Terminals."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_server_terminals-0.5.0-py3-none-any.whl", hash = "sha256:2fc0692c883bfd891f4fba0c4b4a684a37234b0ba472f2e97ed0a3888f46e1e4"},
-    {file = "jupyter_server_terminals-0.5.0.tar.gz", hash = "sha256:ebcd68c9afbf98a480a533e6f3266354336e645536953b7abcc7bdeebc0154a3"},
+    {file = "jupyter_server_terminals-0.5.2-py3-none-any.whl", hash = "sha256:1b80c12765da979513c42c90215481bbc39bd8ae7c0350b4f85bc3eb58d0fa80"},
+    {file = "jupyter_server_terminals-0.5.2.tar.gz", hash = "sha256:396b5ccc0881e550bf0ee7012c6ef1b53edbde69e67cab1d56e89711b46052e8"},
 ]
 
 [package.dependencies]
@@ -2440,17 +2553,18 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
 
 [[package]]
 name = "jupyterlab"
-version = "4.0.11"
+version = "4.1.1"
 description = "JupyterLab computational environment"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "jupyterlab-4.0.11-py3-none-any.whl", hash = "sha256:536bf0e78723153a5016ca7efb88ed0ecd7070d3f1555d5b0e2770658f900a3c"},
-    {file = "jupyterlab-4.0.11.tar.gz", hash = "sha256:d1aec24712566bc25a36229788242778e498ca4088028e2f9aa156b8b7fdc8fc"},
+    {file = "jupyterlab-4.1.1-py3-none-any.whl", hash = "sha256:fa3e8c18b804eac04e51ceebd9dd3dd396e08106816f0d09cc426799d7087632"},
+    {file = "jupyterlab-4.1.1.tar.gz", hash = "sha256:8acc9f561729d8f32c14c294c397917cddfeeb13a5d46f811979b71b4911a9fd"},
 ]
 
 [package.dependencies]
 async-lru = ">=1.0.0"
+httpx = ">=0.25.0"
 importlib-metadata = {version = ">=4.8.3", markers = "python_version < \"3.10\""}
 importlib-resources = {version = ">=1.4", markers = "python_version < \"3.9\""}
 ipykernel = "*"
@@ -2466,9 +2580,9 @@ tornado = ">=6.2.0"
 traitlets = "*"
 
 [package.extras]
-dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.1.6)"]
-docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-tornasync", "sphinx (>=1.8,<7.2.0)", "sphinx-copybutton"]
-docs-screenshots = ["altair (==5.0.1)", "ipython (==8.14.0)", "ipywidgets (==8.0.6)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post0)", "matplotlib (==3.7.1)", "nbconvert (>=7.0.0)", "pandas (==2.0.2)", "scipy (==1.10.1)", "vega-datasets (==0.9.0)"]
+dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.2.0)"]
+docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<7.3.0)", "sphinx-copybutton"]
+docs-screenshots = ["altair (==5.2.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.1)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post6)", "matplotlib (==3.8.2)", "nbconvert (>=7.0.0)", "pandas (==2.2.0)", "scipy (==1.12.0)", "vega-datasets (==0.9.0)"]
 test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
 
 [[package]]
@@ -2486,7 +2600,7 @@ files = [
 name = "jupyterlab-server"
 version = "2.25.2"
 description = "A set of server components for JupyterLab and JupyterLab like applications."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "jupyterlab_server-2.25.2-py3-none-any.whl", hash = "sha256:5b1798c9cc6a44f65c757de9f97fc06fc3d42535afbf47d2ace5e964ab447aaf"},
@@ -2510,28 +2624,28 @@ test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-v
 
 [[package]]
 name = "jupyterlab-widgets"
-version = "3.0.9"
+version = "3.0.10"
 description = "Jupyter interactive widgets for JupyterLab"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "jupyterlab_widgets-3.0.9-py3-none-any.whl", hash = "sha256:3cf5bdf5b897bf3bccf1c11873aa4afd776d7430200f765e0686bd352487b58d"},
-    {file = "jupyterlab_widgets-3.0.9.tar.gz", hash = "sha256:6005a4e974c7beee84060fdfba341a3218495046de8ae3ec64888e5fe19fdb4c"},
+    {file = "jupyterlab_widgets-3.0.10-py3-none-any.whl", hash = "sha256:dd61f3ae7a5a7f80299e14585ce6cf3d6925a96c9103c978eda293197730cb64"},
+    {file = "jupyterlab_widgets-3.0.10.tar.gz", hash = "sha256:04f2ac04976727e4f9d0fa91cdc2f1ab860f965e504c29dbd6a65c882c9d04c0"},
 ]
 
 [[package]]
 name = "jupytext"
-version = "1.16.0"
+version = "1.16.1"
 description = "Jupyter notebooks as Markdown documents, Julia, Python or R scripts"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupytext-1.16.0-py3-none-any.whl", hash = "sha256:c2b951ac72871f39cd6cd242b56bc43219b7ed8169598bae5359811fb1f54d28"},
-    {file = "jupytext-1.16.0.tar.gz", hash = "sha256:94c7e67775e90e1792c39ab7fca4e0459bf7c35656123e8dc2e9e1b3e953baf8"},
+    {file = "jupytext-1.16.1-py3-none-any.whl", hash = "sha256:796ec4f68ada663569e5d38d4ef03738a01284bfe21c943c485bc36433898bd0"},
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 ]
 
 [package.dependencies]
-markdown-it-py = ">=1.0.0"
+markdown-it-py = ">=1.0"
 mdit-py-plugins = "*"
 nbformat = "*"
 packaging = "*"
@@ -2572,6 +2686,30 @@ completion = ["shtab (>=1.1.0)"]
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
 
+[[package]]
+name = "langchain-core"
+version = "0.1.23"
+description = "Building applications with LLMs through composability"
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
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+]
+
+[package.dependencies]
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+jsonpatch = ">=1.33,<2.0"
+langsmith = ">=0.0.87,<0.0.88"
+packaging = ">=23.2,<24.0"
+pydantic = ">=1,<3"
+PyYAML = ">=5.3"
+requests = ">=2,<3"
+tenacity = ">=8.1.0,<9.0.0"
+
+[package.extras]
+extended-testing = ["jinja2 (>=3,<4)"]
+
 [[package]]
 name = "langcodes"
 version = "3.3.0"
@@ -2586,15 +2724,30 @@ files = [
 [package.extras]
 data = ["language-data (>=1.1,<2.0)"]
 
+[[package]]
+name = "langsmith"
+version = "0.0.87"
+description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
+optional = false
+python-versions = ">=3.8.1,<4.0"
+files = [
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+]
+
+[package.dependencies]
+pydantic = ">=1,<3"
+requests = ">=2,<3"
+
 [[package]]
 name = "lightning-utilities"
-version = "0.10.0"
-description = "PyTorch Lightning Sample project."
+version = "0.10.1"
+description = "Lightning toolbox for across the our ecosystem."
 optional = true
 python-versions = ">=3.7"
 files = [
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@@ -2761,13 +2913,13 @@ gcp = ["cloud-sql-python-connector[pg8000] (>=1.0.0)", "pg8000", "sqlalchemy"]
 
 [[package]]
 name = "markdown"
-version = "3.5.1"
+version = "3.5.2"
 description = "Python implementation of John Gruber's Markdown."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
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 [[package]]
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-version = "2.1.3"
+version = "2.1.5"
 description = "Safely add untrusted strings to HTML/XML markup."
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 python-versions = ">=3.7"
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 [[package]]
@@ -2995,13 +3147,13 @@ mkdocs = ">=1.1"
 
 [[package]]
 name = "mkdocs-glightbox"
-version = "0.3.5"
+version = "0.3.7"
 description = "MkDocs plugin supports image lightbox with GLightbox."
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [[package]]
@@ -3028,13 +3180,13 @@ test = ["coverage[toml]", "pymdown-extensions", "pytest", "pytest-cov"]
 
 [[package]]
 name = "mkdocs-material"
-version = "9.5.2"
+version = "9.5.9"
 description = "Documentation that simply works"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3042,7 +3194,7 @@ babel = ">=2.10,<3.0"
 colorama = ">=0.4,<1.0"
 jinja2 = ">=3.0,<4.0"
 markdown = ">=3.2,<4.0"
-mkdocs = ">=1.5.3,<2.0"
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 mkdocs-material-extensions = ">=1.3,<2.0"
 paginate = ">=0.5,<1.0"
 pygments = ">=2.16,<3.0"
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 requests = ">=2.26,<3.0"
 
 [package.extras]
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-imaging = ["cairosvg (>=2.6,<3.0)", "pillow (>=9.4,<10.0)"]
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 recommended = ["mkdocs-minify-plugin (>=0.7,<1.0)", "mkdocs-redirects (>=1.2,<2.0)", "mkdocs-rss-plugin (>=1.6,<2.0)"]
 
 [[package]]
@@ -3127,13 +3279,13 @@ nbconvert = ">=6.0.0"
 
 [[package]]
 name = "more-itertools"
-version = "10.1.0"
+version = "10.2.0"
 description = "More routines for operating on iterables, beyond itertools"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -3155,85 +3307,101 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
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+version = "6.0.5"
 description = "multidict implementation"
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 python-versions = ">=3.7"
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 ]
 
 [[package]]
@@ -3313,13 +3481,13 @@ test = ["flaky", "ipykernel (>=6.19.3)", "ipython", "ipywidgets", "nbconvert (>=
 
 [[package]]
 name = "nbconvert"
-version = "7.13.1"
+version = "7.16.0"
 description = "Converting Jupyter Notebooks"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "nbconvert-7.16.0.tar.gz", hash = "sha256:813e6553796362489ae572e39ba1bff978536192fb518e10826b0e8cadf03ec8"},
 ]
 
 [package.dependencies]
@@ -3416,13 +3584,13 @@ test = ["pep440", "pre-commit", "pytest", "testpath"]
 
 [[package]]
 name = "nest-asyncio"
-version = "1.5.8"
+version = "1.6.0"
 description = "Patch asyncio to allow nested event loops"
 optional = false
 python-versions = ">=3.5"
 files = [
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 ]
 
 [[package]]
@@ -3509,18 +3677,18 @@ setuptools = "*"
 
 [[package]]
 name = "notebook"
-version = "7.0.7"
+version = "7.1.0"
 description = "Jupyter Notebook - A web-based notebook environment for interactive computing"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
 jupyter-server = ">=2.4.0,<3"
-jupyterlab = ">=4.0.2,<5"
+jupyterlab = ">=4.1.1,<4.2"
 jupyterlab-server = ">=2.22.1,<3"
 notebook-shim = ">=0.2,<0.3"
 tornado = ">=6.2.0"
@@ -3534,7 +3702,7 @@ test = ["importlib-resources (>=5.0)", "ipykernel", "jupyter-server[test] (>=2.4
 name = "notebook-shim"
 version = "0.2.3"
 description = "A shim layer for notebook traits and config"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
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@@ -3750,12 +3918,12 @@ nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.18.1"
+version = "2.19.3"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = true
 python-versions = ">=3"
 files = [
-    {file = "nvidia_nccl_cu12-2.18.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:1a6c4acefcbebfa6de320f412bf7866de856e786e0462326ba1bac40de0b5e71"},
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 ]
 
 [[package]]
@@ -3782,13 +3950,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.6.0"
+version = "1.12.0"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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+    {file = "openai-1.12.0.tar.gz", hash = "sha256:99c5d257d09ea6533d689d1cc77caa0ac679fa21efef8893d8b0832a86877f1b"},
 ]
 
 [package.dependencies]
@@ -3803,74 +3971,193 @@ typing-extensions = ">=4.7,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
+[[package]]
+name = "opentelemetry-api"
+version = "1.22.0"
+description = "OpenTelemetry Python API"
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.dependencies]
+deprecated = ">=1.2.6"
+importlib-metadata = ">=6.0,<7.0"
+
+[[package]]
+name = "opentelemetry-exporter-otlp-proto-common"
+version = "1.22.0"
+description = "OpenTelemetry Protobuf encoding"
+optional = false
+python-versions = ">=3.7"
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 ]
 
 [[package]]
 name = "overrides"
-version = "7.4.0"
+version = "7.7.0"
 description = "A decorator to automatically detect mismatch when overriding a method."
-optional = false
+optional = true
 python-versions = ">=3.6"
 files = [
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 ]
 
 [[package]]
@@ -3931,8 +4218,8 @@ files = [
 [package.dependencies]
 numpy = [
     {version = ">=1.20.3", markers = "python_version < \"3.10\""},
-    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
     {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -3963,13 +4250,13 @@ xml = ["lxml (>=4.6.3)"]
 
 [[package]]
 name = "pandocfilters"
-version = "1.5.0"
+version = "1.5.1"
 description = "Utilities for writing pandoc filters in python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
 files = [
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 ]
 
 [[package]]
@@ -4014,13 +4301,13 @@ ptyprocess = ">=0.5"
 
 [[package]]
 name = "phonenumbers"
-version = "8.13.27"
+version = "8.13.30"
 description = "Python version of Google's common library for parsing, formatting, storing and validating international phone numbers."
 optional = true
 python-versions = "*"
 files = [
-    {file = "phonenumbers-8.13.27-py2.py3-none-any.whl", hash = "sha256:97269235cfd99b907d96bf6223599d3347010ea93bba9d06f88629c021fc2166"},
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+    {file = "phonenumbers-8.13.30.tar.gz", hash = "sha256:175fcaa89780c9cb6e089fe61de960396c9fc0c01845aea26400975fb10a8ea8"},
 ]
 
 [[package]]
@@ -4121,13 +4408,13 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "pip"
-version = "23.3.2"
+version = "24.0"
 description = "The PyPA recommended tool for installing Python packages."
 optional = true
 python-versions = ">=3.7"
 files = [
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+    {file = "pip-24.0.tar.gz", hash = "sha256:ea9bd1a847e8c5774a5777bb398c19e80bcd4e2aa16a4b301b718fe6f593aba2"},
 ]
 
 [[package]]
@@ -4157,28 +4444,28 @@ files = [
 
 [[package]]
 name = "platformdirs"
-version = "4.1.0"
+version = "4.2.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "platformdirs-4.1.0.tar.gz", hash = "sha256:906d548203468492d432bcb294d4bc2fff751bf84971fbb2c10918cc206ee420"},
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+    {file = "platformdirs-4.2.0.tar.gz", hash = "sha256:ef0cc731df711022c174543cb70a9b5bd22e5a9337c8624ef2c2ceb8ddad8768"},
 ]
 
 [package.extras]
-docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.1)", "sphinx-autodoc-typehints (>=1.24)"]
-test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4)", "pytest-cov (>=4.1)", "pytest-mock (>=3.11.1)"]
+docs = ["furo (>=2023.9.10)", "proselint (>=0.13)", "sphinx (>=7.2.6)", "sphinx-autodoc-typehints (>=1.25.2)"]
+test = ["appdirs (==1.4.4)", "covdefaults (>=2.3)", "pytest (>=7.4.3)", "pytest-cov (>=4.1)", "pytest-mock (>=3.12)"]
 
 [[package]]
 name = "pluggy"
-version = "1.3.0"
+version = "1.4.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pluggy-1.3.0-py3-none-any.whl", hash = "sha256:d89c696a773f8bd377d18e5ecda92b7a3793cbe66c87060a6fb58c7b6e1061f7"},
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+    {file = "pluggy-1.4.0-py3-none-any.whl", hash = "sha256:7db9f7b503d67d1c5b95f59773ebb58a8c1c288129a88665838012cfb07b8981"},
+    {file = "pluggy-1.4.0.tar.gz", hash = "sha256:8c85c2876142a764e5b7548e7d9a0e0ddb46f5185161049a79b7e974454223be"},
 ]
 
 [package.extras]
@@ -4270,12 +4557,12 @@ murmurhash = ">=0.28.0,<1.1.0"
 
 [[package]]
 name = "presidio-analyzer"
-version = "2.2.351"
+version = "2.2.353"
 description = "Presidio analyzer package"
 optional = true
 python-versions = "*"
 files = [
-    {file = "presidio_analyzer-2.2.351-py3-none-any.whl", hash = "sha256:9e4144ca4a809b084acf273d7e9615182f50e2bd6c195fe83d585fd24b507876"},
+    {file = "presidio_analyzer-2.2.353-py3-none-any.whl", hash = "sha256:751e67e4a80b4806d4d13c5b9203276b29aba5687deed80c73455faae95da5f6"},
 ]
 
 [package.dependencies]
@@ -4286,17 +4573,18 @@ spacy = ">=3.4.4,<4.0.0"
 tldextract = "*"
 
 [package.extras]
+azure-ai-language = ["azure-ai-textanalytics", "azure-core"]
 stanza = ["spacy-stanza", "stanza"]
 transformers = ["spacy-huggingface-pipelines"]
 
 [[package]]
 name = "presidio-anonymizer"
-version = "2.2.351"
+version = "2.2.353"
 description = "Persidio Anonymizer package - replaces analyzed text with desired values."
 optional = true
 python-versions = ">=3.5"
 files = [
-    {file = "presidio_anonymizer-2.2.351-py3-none-any.whl", hash = "sha256:a898c38afcf01ac21aa7558702b8f22e378625854574df0b277c553bb3164f50"},
+    {file = "presidio_anonymizer-2.2.353-py3-none-any.whl", hash = "sha256:5fc1a3ed00da0dfa468f80f6265a8550ff798d56daba32412ad1b39d67bd85cc"},
 ]
 
 [package.dependencies]
@@ -4304,13 +4592,13 @@ pycryptodome = ">=3.10.1"
 
 [[package]]
 name = "prometheus-client"
-version = "0.19.0"
+version = "0.20.0"
 description = "Python client for the Prometheus monitoring system."
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "prometheus_client-0.19.0-py3-none-any.whl", hash = "sha256:c88b1e6ecf6b41cd8fb5731c7ae919bf66df6ec6fafa555cd6c0e16ca169ae92"},
-    {file = "prometheus_client-0.19.0.tar.gz", hash = "sha256:4585b0d1223148c27a225b10dbec5ae9bc4c81a99a3fa80774fa6209935324e1"},
+    {file = "prometheus_client-0.20.0-py3-none-any.whl", hash = "sha256:cde524a85bce83ca359cc837f28b8c0db5cac7aa653a588fd7e84ba061c329e7"},
+    {file = "prometheus_client-0.20.0.tar.gz", hash = "sha256:287629d00b147a32dcb2be0b9df905da599b2d82f80377083ec8463309a4bb89"},
 ]
 
 [package.extras]
@@ -4332,47 +4620,47 @@ wcwidth = "*"
 
 [[package]]
 name = "protobuf"
-version = "4.25.1"
+version = "4.25.2"
 description = ""
-optional = true
+optional = false
 python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -4605,20 +4893,20 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pydash"
-version = "7.0.6"
+version = "7.0.7"
 description = "The kitchen sink of Python utility libraries for doing \"stuff\" in a functional way. Based on the Lo-Dash Javascript library."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 typing-extensions = ">=3.10,<4.6.0 || >4.6.0"
 
 [package.extras]
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+dev = ["black", "build", "coverage", "docformatter", "flake8", "flake8-black", "flake8-bugbear", "flake8-isort", "furo", "invoke", "isort", "mypy", "pylint", "pytest", "pytest-cov", "pytest-mypy-testing", "sphinx", "sphinx-autodoc-typehints", "tox", "twine", "wheel"]
 
 [[package]]
 name = "pydoc-markdown"
@@ -4649,13 +4937,13 @@ yapf = ">=0.30.0"
 
 [[package]]
 name = "pyflakes"
-version = "2.5.0"
+version = "3.2.0"
 description = "passive checker of Python programs"
 optional = false
-python-versions = ">=3.6"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -4675,13 +4963,13 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pymdown-extensions"
-version = "10.5"
+version = "10.7"
 description = "Extension pack for Python Markdown."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -4693,24 +4981,35 @@ extra = ["pygments (>=2.12)"]
 
 [[package]]
 name = "pypdfium2"
-version = "4.25.0"
+version = "4.27.0"
 description = "Python bindings to PDFium"
 optional = false
 python-versions = ">= 3.6"
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+]
+
+[[package]]
+name = "pyreadline3"
+version = "3.4.1"
+description = "A python implementation of GNU readline."
+optional = false
+python-versions = "*"
+files = [
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 ]
 
 [[package]]
@@ -4774,13 +5073,13 @@ files = [
 
 [[package]]
 name = "pytest"
-version = "7.4.3"
+version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
 files = [
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+    {file = "pytest-7.4.4-py3-none-any.whl", hash = "sha256:b090cdf5ed60bf4c45261be03239c2c1c22df034fbffe691abe93cd80cea01d8"},
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 ]
 
 [package.dependencies]
@@ -4865,7 +5164,7 @@ six = ">=1.5"
 name = "python-json-logger"
 version = "2.0.7"
 description = "A python library adding a json log formatter"
-optional = false
+optional = true
 python-versions = ">=3.6"
 files = [
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@@ -4874,13 +5173,13 @@ files = [
 
 [[package]]
 name = "pytorch-lightning"
-version = "2.1.3"
+version = "2.2.0.post0"
 description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
 optional = true
 python-versions = ">=3.8"
 files = [
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+    {file = "pytorch-lightning-2.2.0.post0.tar.gz", hash = "sha256:4ed1a97c5ba3ee5049f25b63a9a60062f54be9c93a3efd8fee2496cadb31fd83"},
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 ]
 
 [package.dependencies]
@@ -4889,29 +5188,29 @@ lightning-utilities = ">=0.8.0"
 numpy = ">=1.17.2"
 packaging = ">=20.0"
 PyYAML = ">=5.4"
-torch = ">=1.12.0"
+torch = ">=1.13.0"
 torchmetrics = ">=0.7.0"
 tqdm = ">=4.57.0"
-typing-extensions = ">=4.0.0"
+typing-extensions = ">=4.4.0"
 
 [package.extras]
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+all = ["bitsandbytes (==0.41.0)", "deepspeed (>=0.8.2,<=0.9.3)", "gym[classic-control] (>=0.17.0)", "hydra-core (>=1.0.5)", "ipython[all] (<8.15.0)", "jsonargparse[signatures] (>=4.26.1)", "lightning-utilities (>=0.8.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "requests (<2.32.0)", "rich (>=12.3.0)", "tensorboardX (>=2.2)", "torchmetrics (>=0.10.0)", "torchvision (>=0.14.0)"]
 deepspeed = ["deepspeed (>=0.8.2,<=0.9.3)"]
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 [[package]]
 name = "referencing"
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 [[package]]
@@ -5458,18 +5761,17 @@ use-chardet-on-py3 = ["chardet (>=3.0.2,<6)"]
 
 [[package]]
 name = "requests-file"
-version = "1.5.1"
+version = "2.0.0"
 description = "File transport adapter for Requests"
 optional = true
 python-versions = "*"
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 [package.dependencies]
 requests = ">=1.0.0"
-six = "*"
 
 [[package]]
 name = "requests-toolbelt"
@@ -5489,7 +5791,7 @@ requests = ">=2.0.1,<3.0.0"
 name = "rfc3339-validator"
 version = "0.1.4"
 description = "A pure python RFC3339 validator"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
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@@ -5517,7 +5819,7 @@ idna2008 = ["idna"]
 name = "rfc3986-validator"
 version = "0.1.1"
 description = "Pure python rfc3986 validator"
-optional = false
+optional = true
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 files = [
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 [package.extras]
 all = ["safetensors[jax]", "safetensors[numpy]", "safetensors[paddlepaddle]", "safetensors[pinned-tf]", "safetensors[quality]", "safetensors[testing]", "safetensors[torch]"]
 dev = ["safetensors[all]"]
 jax = ["flax (>=0.6.3)", "jax (>=0.3.25)", "jaxlib (>=0.3.25)", "safetensors[numpy]"]
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 numpy = ["numpy (>=1.21.6)"]
 paddlepaddle = ["paddlepaddle (>=2.4.1)", "safetensors[numpy]"]
 pinned-tf = ["safetensors[numpy]", "tensorflow (==2.11.0)"]
@@ -5908,7 +6223,7 @@ jeepney = ">=0.6"
 name = "send2trash"
 version = "1.8.2"
 description = "Send file to trash natively under Mac OS X, Windows and Linux"
-optional = false
+optional = true
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-typing-extensions = ">=4.2.0"
+typing-extensions = ">=4.6.0"
 
 [package.extras]
 aiomysql = ["aiomysql (>=0.2.0)", "greenlet (!=0.4.17)"]
 aioodbc = ["aioodbc", "greenlet (!=0.4.17)"]
-aiosqlite = ["aiosqlite", "greenlet (!=0.4.17)", "typing-extensions (!=3.10.0.1)"]
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 asyncio = ["greenlet (!=0.4.17)"]
 asyncmy = ["asyncmy (>=0.2.3,!=0.2.4,!=0.2.6)", "greenlet (!=0.4.17)"]
 mariadb-connector = ["mariadb (>=1.0.1,!=1.1.2,!=1.1.5)"]
@@ -6475,7 +6801,7 @@ mssql-pyodbc = ["pyodbc"]
 mypy = ["mypy (>=0.910)"]
 mysql = ["mysqlclient (>=1.4.0)"]
 mysql-connector = ["mysql-connector-python"]
-oracle = ["cx-oracle (>=8)"]
+oracle = ["cx_oracle (>=8)"]
 oracle-oracledb = ["oracledb (>=1.0.1)"]
 postgresql = ["psycopg2 (>=2.7)"]
 postgresql-asyncpg = ["asyncpg", "greenlet (!=0.4.17)"]
@@ -6485,7 +6811,7 @@ postgresql-psycopg2binary = ["psycopg2-binary"]
 postgresql-psycopg2cffi = ["psycopg2cffi"]
 postgresql-psycopgbinary = ["psycopg[binary] (>=3.0.7)"]
 pymysql = ["pymysql"]
-sqlcipher = ["sqlcipher3-binary"]
+sqlcipher = ["sqlcipher3_binary"]
 
 [[package]]
 name = "sqlglot"
@@ -6636,7 +6962,7 @@ doc = ["reno", "sphinx", "tornado (>=4.5)"]
 name = "terminado"
 version = "0.18.0"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
-optional = false
+optional = true
 python-versions = ">=3.8"
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@@ -6669,45 +6995,45 @@ rapidfuzz = ">=3.0.0,<4.0.0"
 
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 description = "A refreshing functional take on deep learning, compatible with your favorite libraries"
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 python-versions = ">=3.6"
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 [package.dependencies]
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 [package.dependencies]
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 ]
 
 [package.dependencies]
@@ -7066,15 +7409,15 @@ nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linu
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-nvidia-nccl-cu12 = {version = "2.18.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
-triton = {version = "2.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-typing-extensions = "*"
+triton = {version = "2.2.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+typing-extensions = ">=4.8.0"
 
 [package.extras]
-dynamo = ["jinja2"]
 opt-einsum = ["opt-einsum (>=3.3)"]
+optree = ["optree (>=0.9.1)"]
 
 [[package]]
 name = "torchmetrics"
@@ -7125,13 +7468,13 @@ files = [
 
 [[package]]
 name = "tqdm"
-version = "4.66.1"
+version = "4.66.2"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
 [package.dependencies]
@@ -7145,13 +7488,13 @@ telegram = ["requests"]
 
 [[package]]
 name = "traitlets"
-version = "5.14.0"
+version = "5.14.1"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -7228,28 +7571,26 @@ vision = ["Pillow (<10.0.0)"]
 
 [[package]]
 name = "triton"
-version = "2.1.0"
+version = "2.2.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = true
 python-versions = "*"
 files = [
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 [package.dependencies]
 filelock = "*"
 
 [package.extras]
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-tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
-tutorials = ["matplotlib", "pandas", "tabulate"]
+build = ["cmake (>=3.20)", "lit"]
+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
+tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
 
 [[package]]
 name = "twine"
@@ -7275,13 +7616,13 @@ urllib3 = ">=1.26.0"
 
 [[package]]
 name = "typeapi"
-version = "2.1.1"
+version = "2.1.2"
 description = ""
 optional = false
 python-versions = ">=3.6.3,<4.0.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -7300,6 +7641,9 @@ files = [
 
 [package.dependencies]
 click = ">=7.1.1,<9.0.0"
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+rich = {version = ">=10.11.0,<14.0.0", optional = true, markers = "extra == \"all\""}
+shellingham = {version = ">=1.3.0,<2.0.0", optional = true, markers = "extra == \"all\""}
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
@@ -7310,13 +7654,13 @@ test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.
 
 [[package]]
 name = "types-python-dateutil"
-version = "2.8.19.14"
+version = "2.8.19.20240106"
 description = "Typing stubs for python-dateutil"
-optional = false
-python-versions = "*"
+optional = true
+python-versions = ">=3.8"
 files = [
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 ]
 
 [[package]]
@@ -7332,13 +7676,13 @@ files = [
 
 [[package]]
 name = "tzdata"
-version = "2023.3"
+version = "2024.1"
 description = "Provider of IANA time zone data"
 optional = true
 python-versions = ">=2"
 files = [
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 ]
 
 [[package]]
@@ -7355,7 +7699,7 @@ files = [
 name = "uri-template"
 version = "1.3.0"
 description = "RFC 6570 URI Template Processor"
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
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@@ -7367,17 +7711,18 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "2.1.0"
+version = "2.2.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
 brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
@@ -7417,38 +7762,40 @@ colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python
 
 [[package]]
 name = "watchdog"
-version = "3.0.0"
+version = "4.0.0"
 description = "Filesystem events monitoring"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
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+    {file = "watchdog-4.0.0-pp310-pypy310_pp73-macosx_10_9_x86_64.whl", hash = "sha256:6e949a8a94186bced05b6508faa61b7adacc911115664ccb1923b9ad1f1ccf7b"},
+    {file = "watchdog-4.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:6a4db54edea37d1058b08947c789a2354ee02972ed5d1e0dca9b0b820f4c7f92"},
+    {file = "watchdog-4.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:d31481ccf4694a8416b681544c23bd271f5a123162ab603c7d7d2dd7dd901a07"},
+    {file = "watchdog-4.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8fec441f5adcf81dd240a5fe78e3d83767999771630b5ddfc5867827a34fa3d3"},
+    {file = "watchdog-4.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:6a9c71a0b02985b4b0b6d14b875a6c86ddea2fdbebd0c9a720a806a8bbffc69f"},
+    {file = "watchdog-4.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:557ba04c816d23ce98a06e70af6abaa0485f6d94994ec78a42b05d1c03dcbd50"},
+    {file = "watchdog-4.0.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:d0f9bd1fd919134d459d8abf954f63886745f4660ef66480b9d753a7c9d40927"},
+    {file = "watchdog-4.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:f9b2fdca47dc855516b2d66eef3c39f2672cbf7e7a42e7e67ad2cbfcd6ba107d"},
+    {file = "watchdog-4.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:73c7a935e62033bd5e8f0da33a4dcb763da2361921a69a5a95aaf6c93aa03a87"},
+    {file = "watchdog-4.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:6a80d5cae8c265842c7419c560b9961561556c4361b297b4c431903f8c33b269"},
+    {file = "watchdog-4.0.0-py3-none-win32.whl", hash = "sha256:8f9a542c979df62098ae9c58b19e03ad3df1c9d8c6895d96c0d51da17b243b1c"},
+    {file = "watchdog-4.0.0-py3-none-win_amd64.whl", hash = "sha256:f970663fa4f7e80401a7b0cbeec00fa801bf0287d93d48368fc3e6fa32716245"},
+    {file = "watchdog-4.0.0-py3-none-win_ia64.whl", hash = "sha256:9a03e16e55465177d416699331b0f3564138f1807ecc5f2de9d55d8f188d08c7"},
+    {file = "watchdog-4.0.0.tar.gz", hash = "sha256:e3e7065cbdabe6183ab82199d7a4f6b3ba0a438c5a512a68559846ccb76a78ec"},
 ]
 
 [package.extras]
@@ -7456,13 +7803,13 @@ watchmedo = ["PyYAML (>=3.10)"]
 
 [[package]]
 name = "wcwidth"
-version = "0.2.12"
+version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.12-py2.py3-none-any.whl", hash = "sha256:f26ec43d96c8cbfed76a5075dac87680124fa84e0855195a6184da9c187f133c"},
-    {file = "wcwidth-0.2.12.tar.gz", hash = "sha256:f01c104efdf57971bcb756f054dd58ddec5204dd15fa31d6503ea57947d97c02"},
+    {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
+    {file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
 ]
 
 [[package]]
@@ -7491,7 +7838,7 @@ wasabi = ">=0.9.1,<1.2.0"
 name = "webcolors"
 version = "1.13"
 description = "A library for working with the color formats defined by HTML and CSS."
-optional = false
+optional = true
 python-versions = ">=3.7"
 files = [
     {file = "webcolors-1.13-py3-none-any.whl", hash = "sha256:29bc7e8752c0a1bd4a1f03c14d6e6a72e93d82193738fa860cbff59d0fcc11bf"},
@@ -7517,7 +7864,7 @@ files = [
 name = "websocket-client"
 version = "1.7.0"
 description = "WebSocket client for Python with low level API options"
-optional = false
+optional = true
 python-versions = ">=3.8"
 files = [
     {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"},
@@ -7531,13 +7878,13 @@ test = ["websockets"]
 
 [[package]]
 name = "widgetsnbextension"
-version = "4.0.9"
+version = "4.0.10"
 description = "Jupyter interactive widgets for Jupyter Notebook"
 optional = true
 python-versions = ">=3.7"
 files = [
-    {file = "widgetsnbextension-4.0.9-py3-none-any.whl", hash = "sha256:91452ca8445beb805792f206e560c1769284267a30ceb1cec9f5bcc887d15175"},
-    {file = "widgetsnbextension-4.0.9.tar.gz", hash = "sha256:3c1f5e46dc1166dfd40a42d685e6a51396fd34ff878742a3e47c6f0cc4a2a385"},
+    {file = "widgetsnbextension-4.0.10-py3-none-any.whl", hash = "sha256:d37c3724ec32d8c48400a435ecfa7d3e259995201fbefa37163124a9fcb393cc"},
+    {file = "widgetsnbextension-4.0.10.tar.gz", hash = "sha256:64196c5ff3b9a9183a8e699a4227fb0b7002f252c814098e66c4d1cd0644688f"},
 ]
 
 [[package]]
@@ -7949,5 +8296,5 @@ vectordb = ["faiss-cpu", "numpy"]
 
 [metadata]
 lock-version = "2.0"
-python-versions = "^3.8"
-content-hash = "812b50a74ce902958c5ec258e4d0468ac40319a791e730dc47d94a20301ea77f"
+python-versions = "^3.8.1"
+content-hash = "45f4edbb5374d377cc60b360fb50b9dc1382e3e49dcd8b52ce79ab61335d0dc2"
diff --git a/pyproject.toml b/pyproject.toml
index cc7f56e0b..a6a3d1dbb 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -13,14 +13,14 @@ packages = [
 guardrails = "guardrails.cli:cli"
 
 [tool.poetry.dependencies]
-python = "^3.8"
+python = "^3.8.1"
 lxml = "^4.9.3"
 openai = "<2"
 rich = "^13.6.0"
 eliot = "^1.15.0"
 eliot-tree = "^21.0.0"
 pydantic = ">=1.10.9, <2.5"
-typer = "^0.9.0"
+typer = {extras = ["all"], version = "^0.9.0"}
 griffe = "^0.36.9"
 tenacity = ">=8.1.0"
 regex = "^2023.10.3"
@@ -51,6 +51,12 @@ huggingface_hub = {version = "^0.16.4", optional = true}
 pydash = "^7.0.6"
 docspec_python = "2.2.1"
 pydoc-markdown = "4.8.2"
+opentelemetry-sdk = "^1.22.0"
+opentelemetry-exporter-otlp-proto-grpc = "^1.22.0"
+opentelemetry-exporter-otlp-proto-http = "^1.22.0"
+langchain-core = "^0.1.18"
+coloredlogs = "^15.0.1"
+requests = "^2.31.0"
 
 
 [tool.poetry.extras]
diff --git a/telemetry/docker-compose.yml b/telemetry/docker-compose.yml
new file mode 100644
index 000000000..300be4753
--- /dev/null
+++ b/telemetry/docker-compose.yml
@@ -0,0 +1,13 @@
+version: "2"
+services:
+  # Collector
+  otel-collector:
+    image: otel/opentelemetry-collector-contrib
+    restart: always
+    command: ["--config=/etc/otel-collector-config.yml"]
+    volumes:
+      - ./otel-collector-config.yml:/etc/otel-collector-config.yml
+    ports:
+      - "4317:4317"   # OTLP gRPC receiver
+      - "4318:4318"   # OTLP HTTP receiver
+      - "55679:55679" # zpages extension
diff --git a/telemetry/otel-collector-config.yml b/telemetry/otel-collector-config.yml
new file mode 100644
index 000000000..8b869699a
--- /dev/null
+++ b/telemetry/otel-collector-config.yml
@@ -0,0 +1,89 @@
+
+
+extensions:
+  basicauth/grafana_cloud_tempo:
+    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/extension/basicauthextension
+    client_auth:
+      username: "734526"
+      password: "PASSWORD"
+  basicauth/grafana_cloud_prometheus:
+    client_auth:
+      username: "1272753"
+      password: "PASSWORD"
+  basicauth/grafana_cloud_loki:
+    client_auth:
+      username: "735422"
+      password: "PASSWORD"
+
+receivers:
+  otlp:
+    # https://github.com/open-telemetry/opentelemetry-collector/tree/main/receiver/otlpreceiver
+    protocols:
+      grpc:
+      http:
+  hostmetrics:
+    # Optional. Host Metrics Receiver added as an example of Infra Monitoring capabilities of the OpenTelemetry Collector
+    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/receiver/hostmetricsreceiver
+    scrapers:
+      load:
+      memory:
+
+processors:
+  batch:
+    # https://github.com/open-telemetry/opentelemetry-collector/tree/main/processor/batchprocessor
+  resourcedetection:
+    # Enriches telemetry data with resource information from the host
+    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/resourcedetectionprocessor
+    detectors: ["env", "system"]
+    override: false
+  transform/add_resource_attributes_as_metric_attributes:
+    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/transformprocessor
+    error_mode: ignore
+    metric_statements:
+      - context: datapoint
+        statements:
+          - set(attributes["deployment.environment"], resource.attributes["deployment.environment"])
+          - set(attributes["service.version"], resource.attributes["service.version"])
+
+exporters:
+  logging:
+    loglevel: debug
+
+  otlp/grafana_cloud_traces:
+    # https://github.com/open-telemetry/opentelemetry-collector/tree/main/exporter/otlpexporter
+    endpoint: "tempo-prod-04-prod-us-east-0.grafana.net:443"
+    auth:
+      authenticator: basicauth/grafana_cloud_tempo
+
+  loki/grafana_cloud_logs:
+    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/exporter/lokiexporter
+    endpoint: "https://logs-prod-006.grafana.net/loki/api/v1/push"
+    auth:
+      authenticator: basicauth/grafana_cloud_loki
+
+  prometheusremotewrite/grafana_cloud_metrics:
+    # https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/exporter/prometheusremotewriteexporter
+    endpoint: "https://prometheus-prod-13-prod-us-east-0.grafana.net/api/prom/push"
+    add_metric_suffixes: false
+    auth:
+      authenticator: basicauth/grafana_cloud_prometheus
+
+
+service:
+  telemetry:
+    logs:
+      level: debug
+  extensions: [basicauth/grafana_cloud_tempo, basicauth/grafana_cloud_prometheus, basicauth/grafana_cloud_loki]
+  pipelines:
+    traces:
+      receivers: [otlp]
+      processors: [resourcedetection, batch]
+      exporters: [otlp/grafana_cloud_traces, logging]
+    metrics:
+      receivers: [otlp, hostmetrics]
+      processors: [resourcedetection, transform/add_resource_attributes_as_metric_attributes, batch]
+      exporters: [prometheusremotewrite/grafana_cloud_metrics]
+    logs:
+      receivers: [otlp]
+      processors: [resourcedetection, batch]
+      exporters: [loki/grafana_cloud_logs]


Test patch:
diff --git a/tests/integration_tests/test_assets/pydantic/parsing_reask.py b/tests/integration_tests/test_assets/pydantic/parsing_reask.py
index 03a8247bd..7ecd7d27a 100644
--- a/tests/integration_tests/test_assets/pydantic/parsing_reask.py
+++ b/tests/integration_tests/test_assets/pydantic/parsing_reask.py
@@ -12,7 +12,8 @@
 \n\nAssistant:
 """  # noqa
 
-document = """Joe Smith – 1234 5678 / joe@example.com  PRIVATE & CONFIDENTIAL
+document = (
+    """Joe Smith – 1234 5678 / joe@example.com  PRIVATE & CONFIDENTIAL
  1 Joe Smith
 Lorem ipsum dolor sit amet, consectetur adipiscing elit,
 sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
@@ -20,7 +21,9 @@
 nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in
 reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
 Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia
-deserunt mollit anim id est laborum."""  # noqa
+deserunt mollit anim id est laborum."""
+    ""
+)  # noqa
 
 compiled_prompt = """\n\nHuman:\nGiven the following resume, answer the following questions. If the answer doesn\'t exist in the resume, enter `null`.\n\nJoe Smith – 1234 5678 / joe@example.com  PRIVATE & CONFIDENTIAL\n 1 Joe Smith\nLorem ipsum dolor sit amet, consectetur adipiscing elit,\nsed do eiusmod tempor incididunt ut labore et dolore magna aliqua.\nUt enim ad minim veniam, quis nostrud exercitation ullamco laboris\nnisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in\nreprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.\nExcepteur sint occaecat cupidatat non proident, sunt in culpa qui officia\ndeserunt mollit anim id est laborum.\n\nExtract information from this resume and return a JSON that follows the correct schema.\n\n\nGiven below is XML that describes the information to extract from this document and the tags to extract it into.\n\n<output>\n    <string name="name" description="What is the candidate name?"/>\n    <string name="contact_number" description="What is the candidate contact number?"/>\n    <string name="contact_email" description="What is the candidate email address?"/>\n</output>\n\n\nONLY return a valid JSON object (no other text is necessary), where the key of the field in JSON is the `name` attribute of the corresponding XML, and the value is of the type specified by the corresponding XML\'s tag. The JSON MUST conform to the XML format, including any types and format requests e.g. requests for lists, objects and specific types. Be correct and concise. If you are unsure anywhere, enter `null`.\n\nHere are examples of simple (XML, JSON) pairs that show the expected behavior:\n- `<string name=\'foo\' format=\'two-words lower-case\' />` => `{\'foo\': \'example one\'}`\n- `<list name=\'bar\'><string format=\'upper-case\' /></list>` => `{"bar": [\'STRING ONE\', \'STRING TWO\', etc.]}`\n- `<object name=\'baz\'><string name="foo" format="capitalize two-words" /><integer name="index" format="1-indexed" /></object>` => `{\'baz\': {\'foo\': \'Some String\', \'index\': 1}}`\n\n\n\n\nAssistant:\n"""  # noqa
 
diff --git a/tests/integration_tests/test_async.py b/tests/integration_tests/test_async.py
index f35fe39d3..3873826aa 100644
--- a/tests/integration_tests/test_async.py
+++ b/tests/integration_tests/test_async.py
@@ -164,8 +164,8 @@ async def test_entity_extraction_with_filter(mocker):
     )
 
     # Assertions are made on the guard state object.
-    assert final_output.validation_passed is True
-    assert final_output.validated_output == entity_extraction.VALIDATED_OUTPUT_FILTER
+    assert final_output.validation_passed is False
+    assert final_output.validated_output is None
 
     call = guard.history.first
 
@@ -177,7 +177,8 @@ async def test_entity_extraction_with_filter(mocker):
     assert call.compiled_prompt == entity_extraction.COMPILED_PROMPT
     assert call.raw_outputs.last == entity_extraction.LLM_OUTPUT
     assert call.validation_output == entity_extraction.VALIDATED_OUTPUT_FILTER
-    assert call.validated_output == entity_extraction.VALIDATED_OUTPUT_FILTER
+    assert call.validated_output is None
+    assert call.status == "fail"
 
 
 @pytest.mark.asyncio
diff --git a/tests/integration_tests/test_data_validation.py b/tests/integration_tests/test_data_validation.py
index 82f1606f8..30ff00277 100644
--- a/tests/integration_tests/test_data_validation.py
+++ b/tests/integration_tests/test_data_validation.py
@@ -5,8 +5,8 @@
 from pydantic import BaseModel, Field
 
 from guardrails import Guard
+from guardrails.errors import ValidationError
 from guardrails.utils.reask_utils import ReAsk
-from guardrails.validator_base import ValidatorError
 from guardrails.validators import ValidChoices
 
 test_cases = [
@@ -68,9 +68,9 @@ def test_choice_validation(llm_output, raises, fails, has_error):
     guard = Guard.from_rail_string(rail_spec)
 
     # If raises is True, then the test should raise an exception.
-    # For our existing test cases this will always be a ValidatorError
+    # For our existing test cases this will always be a ValidationError
     if raises:
-        with pytest.raises(ValidatorError):
+        with pytest.raises(ValidationError):
             guard.parse(llm_output, num_reasks=0)
     else:
         result = guard.parse(llm_output, num_reasks=0)
@@ -115,9 +115,9 @@ class Choice(BaseModel):
     guard = Guard.from_pydantic(output_class=Choice, prompt="Dummy prompt.")
 
     # If raises is True, then the test should raise an exception.
-    # For our existing test cases this will always be a ValidatorError
+    # For our existing test cases this will always be a ValidationError
     if raises:
-        with pytest.raises(ValidatorError):
+        with pytest.raises(ValidationError):
             guard.parse(llm_output, num_reasks=0)
     else:
         result = guard.parse(llm_output, num_reasks=0)
diff --git a/tests/integration_tests/test_guard.py b/tests/integration_tests/test_guard.py
index 182d64e32..6e756c42e 100644
--- a/tests/integration_tests/test_guard.py
+++ b/tests/integration_tests/test_guard.py
@@ -261,7 +261,8 @@ def test_entity_extraction_with_filter(mocker, rail, prompt):
     )
 
     # Assertions are made on the guard state object.
-    assert final_output.validated_output == entity_extraction.VALIDATED_OUTPUT_FILTER
+    assert final_output.validation_passed is False
+    assert final_output.validated_output is None
 
     call = guard.history.first
 
@@ -271,7 +272,8 @@ def test_entity_extraction_with_filter(mocker, rail, prompt):
     # For orginal prompt and output
     assert call.compiled_prompt == entity_extraction.COMPILED_PROMPT
     assert call.raw_outputs.last == entity_extraction.LLM_OUTPUT
-    assert call.validated_output == entity_extraction.VALIDATED_OUTPUT_FILTER
+    assert call.status == "fail"
+    assert call.validated_output is None
 
 
 @pytest.mark.parametrize(
@@ -795,3 +797,57 @@ class Task(BaseModel):
         )
 
     assert str(excinfo.value).startswith("Invalid enum value") is True
+
+
+@pytest.mark.parametrize(
+    "output,throws",
+    [
+        ("Ice cream is frozen.", False),
+        ("Ice cream is a frozen dairy product that is consumed in many places.", True),
+        ("This response isn't relevant.", True),
+    ],
+)
+def test_guard_as_runnable(output: str, throws: bool):
+    from langchain_core.language_models import LanguageModelInput
+    from langchain_core.messages import AIMessage, BaseMessage
+    from langchain_core.output_parsers import StrOutputParser
+    from langchain_core.prompts import ChatPromptTemplate
+    from langchain_core.runnables import Runnable, RunnableConfig
+
+    from guardrails.errors import ValidationError
+    from guardrails.validators import ReadingTime, RegexMatch
+
+    class MockModel(Runnable):
+        def invoke(
+            self, input: LanguageModelInput, config: Optional[RunnableConfig] = None
+        ) -> BaseMessage:
+            return AIMessage(content=output)
+
+    prompt = ChatPromptTemplate.from_template("ELIF: {topic}")
+    model = MockModel()
+    guard = (
+        Guard()
+        .use(RegexMatch("Ice cream", match_type="search"))
+        .use(ReadingTime(0.05))  # 3 seconds
+    )
+    output_parser = StrOutputParser()
+
+    chain = prompt | model | guard | output_parser
+
+    topic = "ice cream"
+    if throws:
+        with pytest.raises(ValidationError) as exc_info:
+            chain.invoke({"topic": topic})
+
+        assert str(exc_info.value) == (
+            "The response from the LLM failed validation!"
+            "See `guard.history` for more details."
+        )
+
+        assert guard.history.last.status == "fail"
+        assert guard.history.last.status == "fail"
+
+    else:
+        result = chain.invoke({"topic": topic})
+
+        assert result == output
diff --git a/tests/integration_tests/test_streaming.py b/tests/integration_tests/test_streaming.py
index 4d129e7f4..2b322ee1b 100644
--- a/tests/integration_tests/test_streaming.py
+++ b/tests/integration_tests/test_streaming.py
@@ -204,6 +204,8 @@ def mock_os_environ_get(key, *args):
         else openai.completions.create
     )
 
+    method.__name__ = "mock_openai_completion_create"
+
     generator = guard(
         method,
         engine="text-davinci-003",
@@ -271,6 +273,8 @@ def mock_os_environ_get(key, *args):
         else openai.chat.completions.create
     )
 
+    method.__name__ = "mock_openai_chat_completion_create"
+
     generator = guard(
         method,
         model="gpt-3.5-turbo",
diff --git a/tests/integration_tests/test_validators.py b/tests/integration_tests/test_validators.py
index 4cf22c745..a51d9b687 100644
--- a/tests/integration_tests/test_validators.py
+++ b/tests/integration_tests/test_validators.py
@@ -548,7 +548,7 @@ def __init__(
         self,
         an_instance_attr: str,
         on_fail: Optional[Union[Callable, str]] = None,
-        **kwargs
+        **kwargs,
     ):
         self.an_instance_attr = an_instance_attr
         super().__init__(on_fail=on_fail, an_instance_attr=an_instance_attr, **kwargs)
@@ -580,3 +580,54 @@ def test_validator_instance_attr_equality(mocker, instance_attr):
         guard.rail.output_schema.root_datatype.validators[0].an_instance_attr
         == instance_attr
     )
+
+
+@pytest.mark.parametrize(
+    "output,throws,error_message",
+    [
+        ("Ice cream is frozen.", False, ""),
+        (
+            "Ice cream is a frozen dairy product that is consumed in many places.",
+            True,
+            "String should be readable within 0.05 minutes.",
+        ),
+        ("This response isn't relevant.", True, "Result must match Ice cream"),
+    ],
+)
+def test_validators_as_runnables(output: str, throws: bool, error_message: str):
+    from langchain_core.language_models import LanguageModelInput
+    from langchain_core.messages import AIMessage, BaseMessage
+    from langchain_core.output_parsers import StrOutputParser
+    from langchain_core.prompts import ChatPromptTemplate
+    from langchain_core.runnables import Runnable, RunnableConfig
+
+    from guardrails.errors import ValidationError
+    from guardrails.validators import ReadingTime, RegexMatch
+
+    class MockModel(Runnable):
+        def invoke(
+            self, input: LanguageModelInput, config: Optional[RunnableConfig] = None
+        ) -> BaseMessage:
+            return AIMessage(content=output)
+
+    prompt = ChatPromptTemplate.from_template("ELIF: {topic}")
+    model = MockModel()
+    regex_match = RegexMatch("Ice cream", match_type="search")
+    reading_time = ReadingTime(0.05)  # 3 seconds
+    output_parser = StrOutputParser()
+
+    chain = prompt | model | regex_match | reading_time | output_parser
+
+    topic = "ice cream"
+    if throws:
+        with pytest.raises(ValidationError) as exc_info:
+            chain.invoke({"topic": topic})
+
+        assert str(exc_info.value) == (
+            "The response from the LLM failed validation!" f"{error_message}"
+        )
+
+    else:
+        result = chain.invoke({"topic": topic})
+
+        assert result == output
diff --git a/tests/unit_tests/classes/history/test_call.py b/tests/unit_tests/classes/history/test_call.py
index 2210f9e72..dce43fa0e 100644
--- a/tests/unit_tests/classes/history/test_call.py
+++ b/tests/unit_tests/classes/history/test_call.py
@@ -101,6 +101,7 @@ def custom_llm():
         ReAsk(incorrect_value="Hello there!", fail_results=[first_validation_result])
     ]
     first_validator_log = ValidatorLogs(
+        registered_name="no-punctuation",
         validator_name="no-punctuation",
         value_before_validation="Hello there!",
         validation_result=first_validation_result,
@@ -137,6 +138,7 @@ def custom_llm():
     second_validated_output = "Hello there"
     second_reasks = []
     second_validator_log = ValidatorLogs(
+        registered_name="no-punctuation",
         validator_name="no-punctuation",
         value_before_validation="Hello there",
         validation_result=PassResult(),
diff --git a/tests/unit_tests/classes/history/test_iteration.py b/tests/unit_tests/classes/history/test_iteration.py
index d8d0fdee4..7ba6a5920 100644
--- a/tests/unit_tests/classes/history/test_iteration.py
+++ b/tests/unit_tests/classes/history/test_iteration.py
@@ -76,6 +76,7 @@ def test_non_empty_initialization():
     reasks = [reask]
     validator_logs = [
         ValidatorLogs(
+            registered_name="no-punctuation",
             validator_name="no-punctuation",
             value_before_validation="Hello there!",
             validation_result=validation_result,
diff --git a/tests/unit_tests/classes/history/test_outputs.py b/tests/unit_tests/classes/history/test_outputs.py
index 4a43e1a38..c88eca2db 100644
--- a/tests/unit_tests/classes/history/test_outputs.py
+++ b/tests/unit_tests/classes/history/test_outputs.py
@@ -1,3 +1,4 @@
+import pydantic
 import pytest
 
 from guardrails.classes.history.outputs import Outputs
@@ -36,6 +37,7 @@ def test_non_empty_initialization():
     reasks = [ReAsk(incorrect_value="Hello there!", fail_results=[validation_result])]
     validator_logs = [
         ValidatorLogs(
+            registered_name="no-punctuation",
             validator_name="no-punctuation",
             value_before_validation="Hello there!",
             validation_result=validation_result,
@@ -103,6 +105,7 @@ def test_non_empty_initialization():
             Outputs(
                 validator_logs=[
                     ValidatorLogs(
+                        registered_name="no-punctuation",
                         validator_name="no-punctuation",
                         value_before_validation="Hello there!",
                         validation_result=fixable_fail_result,
@@ -125,6 +128,7 @@ def test__all_empty(outputs: Outputs, expected_result: bool):
 def test_failed_validations():
     validator_logs = [
         ValidatorLogs(
+            registered_name="no-punctuation",
             validator_name="no-punctuation",
             value_before_validation="Hello there!",
             validation_result=fixable_fail_result,
@@ -132,6 +136,7 @@ def test_failed_validations():
             property_path="$",
         ),
         ValidatorLogs(
+            registered_name="valid-length",
             validator_name="valid-length",
             value_before_validation="Hello there!",
             validation_result=PassResult(),
@@ -153,6 +158,7 @@ def test_failed_validations():
             Outputs(
                 validator_logs=[
                     ValidatorLogs(
+                        registered_name="no-punctuation",
                         validator_name="no-punctuation",
                         value_before_validation="Hello there!",
                         validation_result=non_fixable_fail_result,
@@ -170,18 +176,26 @@ def test_failed_validations():
             fail_status,
         ),
         (Outputs(validator_logs=[], validated_output="Hello there!"), pass_status),
-        (
-            Outputs(
-                validation_output=ReAsk(
-                    incorrect_value="Hello there!",
-                    fail_results=[non_fixable_fail_result],
-                ),
-            ),
-            fail_status,
-        ),
     ],
 )
 def test_status(outputs: Outputs, expected_status: str):
     status = outputs.status
 
     assert status == expected_status
+
+
+@pytest.mark.skipif(
+    pydantic.version.VERSION.startswith("1"),
+    reason="This fails in Pydantic 1.x because it casts the ReAsk to a Dict on init...",
+)
+def test_status_reask():
+    outputs = Outputs(
+        validation_output=ReAsk(
+            incorrect_value="Hello there!",
+            fail_results=[non_fixable_fail_result],
+        ),
+    )
+
+    status = outputs.status
+
+    assert status == fail_status
diff --git a/tests/unit_tests/classes/test_credentials.py b/tests/unit_tests/classes/test_credentials.py
new file mode 100644
index 000000000..6cedc564c
--- /dev/null
+++ b/tests/unit_tests/classes/test_credentials.py
@@ -0,0 +1,40 @@
+from tests.unit_tests.mocks.mock_file import MockFile
+
+
+def test_from_rc_file(mocker):
+    # TODO: Re-enable this once we move nltk.download calls to individual validator repos.  # noqa
+    # Right now, it fires during our import chain, causing this to blow up
+    mocker.patch("nltk.data.find")
+    mocker.patch("nltk.download")
+
+    expanduser_mock = mocker.patch("guardrails.classes.credentials.expanduser")
+    expanduser_mock.return_value = "/Home"
+
+    import os
+
+    join_spy = mocker.spy(os.path, "join")
+
+    mock_file = MockFile()
+    mock_open = mocker.patch("guardrails.classes.credentials.open")
+    mock_open.return_value = mock_file
+
+    readlines_spy = mocker.patch.object(mock_file, "readlines")
+    readlines_spy.return_value = ["key1=val1", "key2=val2"]
+    close_spy = mocker.spy(mock_file, "close")
+
+    from guardrails.classes.credentials import Credentials
+
+    mock_from_dict = mocker.patch.object(Credentials, "from_dict")
+
+    Credentials.from_rc_file()
+
+    assert expanduser_mock.called is True
+    join_spy.assert_called_once_with("/Home", ".guardrailsrc")
+
+    assert mock_open.call_count == 1
+    assert readlines_spy.call_count == 1
+    assert close_spy.call_count == 1
+    # This is supposed to look wrong; since this method is on the super,
+    # it doesn't care if the key values are actually correct.
+    # Something to watch out for.
+    mock_from_dict.assert_called_once_with({"key1": "val1", "key2": "val2"})
diff --git a/tests/unit_tests/cli/hub/test_install.py b/tests/unit_tests/cli/hub/test_install.py
new file mode 100644
index 000000000..73b170ce6
--- /dev/null
+++ b/tests/unit_tests/cli/hub/test_install.py
@@ -0,0 +1,706 @@
+import json
+from unittest.mock import call
+
+import pytest
+
+from guardrails.cli.server.module_manifest import ModuleManifest
+from tests.unit_tests.mocks.mock_file import MockFile
+
+
+class TestInstall:
+    def test_exits_early_if_uri_is_not_valid(self, mocker):
+        mock_logger_error = mocker.patch("guardrails.cli.hub.install.logger.error")
+
+        from guardrails.cli.hub.install import install, sys
+
+        sys_exit_spy = mocker.spy(sys, "exit")
+
+        with pytest.raises(SystemExit):
+            install("not a hub uri")
+
+        mock_logger_error.assert_called_once_with("Invalid URI!")
+        sys_exit_spy.assert_called_once_with(1)
+
+    def test_happy_path(self, mocker):
+        mock_logger_log = mocker.patch("guardrails.cli.hub.install.logger.log")
+
+        mock_get_validator_manifest = mocker.patch(
+            "guardrails.cli.hub.install.get_validator_manifest"
+        )
+        manifest = ModuleManifest.from_dict(
+            {
+                "id": "id",
+                "name": "name",
+                "author": {"name": "me", "email": "me@me.me"},
+                "maintainers": [],
+                "repository": {"url": "some-repo"},
+                "namespace": "guardrails",
+                "package_name": "test-validator",
+                "module_name": "test_validator",
+                "exports": ["TestValidator"],
+                "tags": {},
+            }
+        )
+        mock_get_validator_manifest.return_value = manifest
+
+        mock_get_site_packages_location = mocker.patch(
+            "guardrails.cli.hub.install.get_site_packages_location"
+        )
+        site_packages = "./.venv/lib/python3.X/site-packages"
+        mock_get_site_packages_location.return_value = site_packages
+
+        mock_install_hub_module = mocker.patch(
+            "guardrails.cli.hub.install.install_hub_module"
+        )
+        mock_run_post_install = mocker.patch(
+            "guardrails.cli.hub.install.run_post_install"
+        )
+        mock_add_to_hub_init = mocker.patch(
+            "guardrails.cli.hub.install.add_to_hub_inits"
+        )
+
+        from guardrails.cli.hub.install import install
+
+        install("hub://guardrails/test-validator")
+
+        log_calls = [
+            call(level=25, msg="Installing hub://guardrails/test-validator..."),
+            call(
+                level=35,
+                msg="\n\n    Successfully installed guardrails/test-validator!\n\n    See how to use it here: https://hub.guardrailsai.com/validator/id\n    ",  # noqa
+            ),  # noqa
+        ]
+        assert mock_logger_log.call_count == 2
+        print(mock_logger_log)
+        mock_logger_log.assert_has_calls(log_calls)
+
+        mock_get_validator_manifest.assert_called_once_with("guardrails/test-validator")
+
+        assert mock_get_site_packages_location.call_count == 1
+
+        mock_install_hub_module.assert_called_once_with(manifest, site_packages)
+
+        mock_run_post_install.assert_called_once_with(manifest, site_packages)
+
+        mock_add_to_hub_init.assert_called_once_with(manifest, site_packages)
+
+
+class TestPipProcess:
+    def test_no_package_string_format(self, mocker):
+        mock_logger_debug = mocker.patch("guardrails.cli.hub.install.logger.debug")
+
+        mock_sys_executable = mocker.patch("guardrails.cli.hub.install.sys.executable")
+
+        mock_subprocess_check_output = mocker.patch(
+            "guardrails.cli.hub.install.subprocess.check_output"
+        )
+        mock_subprocess_check_output.return_value = str.encode("string output")
+
+        from guardrails.cli.hub.install import pip_process
+
+        response = pip_process("inspect", flags=["--path=./install-here"])
+
+        assert mock_logger_debug.call_count == 2
+        debug_calls = [
+            call("running pip inspect --path=./install-here "),
+            call("decoding output from pip inspect "),
+        ]
+        mock_logger_debug.assert_has_calls(debug_calls)
+
+        mock_subprocess_check_output.assert_called_once_with(
+            [mock_sys_executable, "-m", "pip", "inspect", "--path=./install-here"]
+        )
+
+        assert response == "string output"
+
+    def test_json_format(self, mocker):
+        mock_logger_debug = mocker.patch("guardrails.cli.hub.install.logger.debug")
+
+        mock_sys_executable = mocker.patch("guardrails.cli.hub.install.sys.executable")
+
+        mock_subprocess_check_output = mocker.patch(
+            "guardrails.cli.hub.install.subprocess.check_output"
+        )
+        mock_subprocess_check_output.return_value = str.encode("json output")
+
+        class MockBytesHeaderParser:
+            def parsebytes(self, *args):
+                return {"output": "json"}
+
+        mock_bytes_parser = mocker.patch("guardrails.cli.hub.install.BytesHeaderParser")
+        mock_bytes_header_parser = MockBytesHeaderParser()
+        mock_bytes_parser.return_value = mock_bytes_header_parser
+
+        from guardrails.cli.hub.install import pip_process
+
+        response = pip_process("show", "pip", format="json")
+
+        assert mock_logger_debug.call_count == 2
+        debug_calls = [
+            call("running pip show  pip"),
+            call("decoding output from pip show pip"),
+        ]
+        mock_logger_debug.assert_has_calls(debug_calls)
+
+        mock_subprocess_check_output.assert_called_once_with(
+            [mock_sys_executable, "-m", "pip", "show", "pip"]
+        )
+
+        assert response == {"output": "json"}
+
+    def test_called_process_error(self, mocker):
+        mock_logger_error = mocker.patch("guardrails.cli.hub.install.logger.error")
+        mock_logger_debug = mocker.patch("guardrails.cli.hub.install.logger.debug")
+        mock_sys_executable = mocker.patch("guardrails.cli.hub.install.sys.executable")
+        mock_subprocess_check_output = mocker.patch(
+            "guardrails.cli.hub.install.subprocess.check_output"
+        )
+
+        from subprocess import CalledProcessError
+
+        mock_subprocess_check_output.side_effect = CalledProcessError(1, "something")
+
+        from guardrails.cli.hub.install import pip_process, sys
+
+        sys_exit_spy = mocker.spy(sys, "exit")
+
+        with pytest.raises(SystemExit):
+            pip_process("inspect")
+
+            mock_logger_debug.assert_called_once_with("running pip inspect  ")
+
+            mock_subprocess_check_output.assert_called_once_with(
+                [mock_sys_executable, "-m", "pip", "inspect"]
+            )
+
+            mock_logger_error.assert_called_once_with(
+                "Failed to inspect \nExit code: 1\nstdout: "
+            )
+
+            sys_exit_spy.assert_called_once_with(1)
+
+    def test_other_exception(self, mocker):
+        error = ValueError("something went wrong")
+        mock_logger_debug = mocker.patch("guardrails.cli.hub.install.logger.debug")
+        mock_logger_debug.side_effect = error
+
+        mock_logger_error = mocker.patch("guardrails.cli.hub.install.logger.error")
+
+        from guardrails.cli.hub.install import pip_process, sys
+
+        sys_exit_spy = mocker.spy(sys, "exit")
+
+        with pytest.raises(SystemExit):
+            pip_process("inspect")
+
+            mock_logger_debug.assert_called_once_with("running pip inspect  ")
+
+            mock_logger_error.assert_called_once_with(
+                "An unexpected exception occurred while try to inspect !", error
+            )
+
+            sys_exit_spy.assert_called_once_with(1)
+
+
+def test_get_site_packages_location(mocker):
+    mock_pip_process = mocker.patch("guardrails.cli.hub.install.pip_process")
+    mock_pip_process.return_value = {"Location": "/site-pacakges"}
+
+    from guardrails.cli.hub.install import get_site_packages_location
+
+    response = get_site_packages_location()
+
+    mock_pip_process.assert_called_once_with("show", "pip", format="json")
+
+    assert response == "/site-pacakges"
+
+
+@pytest.mark.parametrize(
+    "manifest,expected",
+    [
+        (
+            ModuleManifest.from_dict(
+                {
+                    "id": "id",
+                    "name": "name",
+                    "author": {"name": "me", "email": "me@me.me"},
+                    "maintainers": [],
+                    "repository": {"url": "some-repo"},
+                    "namespace": "guardrails-ai",
+                    "package_name": "test-validator",
+                    "module_name": "test_validator",
+                    "exports": ["TestValidator"],
+                    "tags": {},
+                }
+            ),
+            ["guardrails_ai", "test_validator"],
+        ),
+        (
+            ModuleManifest.from_dict(
+                {
+                    "id": "id",
+                    "name": "name",
+                    "author": {"name": "me", "email": "me@me.me"},
+                    "maintainers": [],
+                    "repository": {"url": "some-repo"},
+                    "namespace": "",
+                    "package_name": "test-validator",
+                    "module_name": "test_validator",
+                    "exports": ["TestValidator"],
+                    "tags": {},
+                }
+            ),
+            ["test_validator"],
+        ),
+    ],
+)
+def test_get_org_and_package_dirs(manifest, expected):
+    from guardrails.cli.hub.install import get_org_and_package_dirs
+
+    actual = get_org_and_package_dirs(manifest)
+
+    assert actual == expected
+
+
+def test_get_hub_directory():
+    manifest = ModuleManifest.from_dict(
+        {
+            "id": "id",
+            "name": "name",
+            "author": {"name": "me", "email": "me@me.me"},
+            "maintainers": [],
+            "repository": {"url": "some-repo"},
+            "namespace": "guardrails-ai",
+            "package_name": "test-validator",
+            "module_name": "test_validator",
+            "exports": ["TestValidator"],
+            "tags": {},
+        }
+    )
+
+    from guardrails.cli.hub.install import get_hub_directory
+
+    hub_dir = get_hub_directory(manifest, "./site-packages")
+
+    assert hub_dir == "./site-packages/guardrails/hub/guardrails_ai/test_validator"
+
+
+class TestAddToHubInits:
+    def test_closes_early_if_already_added(self, mocker):
+        manifest = ModuleManifest.from_dict(
+            {
+                "id": "id",
+                "name": "name",
+                "author": {"name": "me", "email": "me@me.me"},
+                "maintainers": [],
+                "repository": {"url": "some-repo"},
+                "namespace": "guardrails-ai",
+                "package_name": "test-validator",
+                "module_name": "validator",
+                "exports": ["TestValidator", "helper"],
+                "tags": {},
+            }
+        )
+        site_packages = "./site-packages"
+
+        hub_init_file = MockFile()
+        ns_init_file = MockFile()
+        mock_open = mocker.patch("guardrails.cli.hub.install.open")
+        mock_open.side_effect = [hub_init_file, ns_init_file]
+
+        mock_hub_read = mocker.patch.object(hub_init_file, "read")
+        mock_hub_read.return_value = "from guardrails.hub.guardrails_ai.test_validator.validator import helper, TestValidator"  # noqa
+
+        hub_seek_spy = mocker.spy(hub_init_file, "seek")
+        hub_write_spy = mocker.spy(hub_init_file, "write")
+        hub_close_spy = mocker.spy(hub_init_file, "close")
+
+        mock_ns_read = mocker.patch.object(ns_init_file, "read")
+        mock_ns_read.return_value = "from guardrails.hub.guardrails_ai.test_validator.validator import helper, TestValidator"  # noqa
+
+        ns_seek_spy = mocker.spy(ns_init_file, "seek")
+        ns_write_spy = mocker.spy(ns_init_file, "write")
+        ns_close_spy = mocker.spy(ns_init_file, "close")
+
+        mock_is_file = mocker.patch("guardrails.cli.hub.install.os.path.isfile")
+        mock_is_file.return_value = True
+
+        from guardrails.cli.hub.install import add_to_hub_inits
+
+        add_to_hub_inits(manifest, site_packages)
+
+        assert mock_open.call_count == 2
+        open_calls = [
+            call("./site-packages/guardrails/hub/__init__.py", "a+"),
+            call("./site-packages/guardrails/hub/guardrails_ai/__init__.py", "a+"),
+        ]
+        mock_open.assert_has_calls(open_calls)
+
+        assert hub_seek_spy.call_count == 1
+        assert mock_hub_read.call_count == 1
+        assert hub_write_spy.call_count == 0
+        assert hub_close_spy.call_count == 1
+
+        mock_is_file.assert_called_once_with(
+            "./site-packages/guardrails/hub/guardrails_ai/__init__.py"
+        )
+        assert ns_seek_spy.call_count == 1
+        assert mock_ns_read.call_count == 1
+        assert ns_write_spy.call_count == 0
+        assert ns_close_spy.call_count == 1
+
+    def test_appends_import_line_if_not_present(self, mocker):
+        manifest = ModuleManifest.from_dict(
+            {
+                "id": "id",
+                "name": "name",
+                "author": {"name": "me", "email": "me@me.me"},
+                "maintainers": [],
+                "repository": {"url": "some-repo"},
+                "namespace": "guardrails-ai",
+                "package_name": "test-validator",
+                "module_name": "validator",
+                "exports": ["TestValidator"],
+                "tags": {},
+            }
+        )
+        site_packages = "./site-packages"
+
+        hub_init_file = MockFile()
+        ns_init_file = MockFile()
+        mock_open = mocker.patch("guardrails.cli.hub.install.open")
+        mock_open.side_effect = [hub_init_file, ns_init_file]
+
+        mock_hub_read = mocker.patch.object(hub_init_file, "read")
+        mock_hub_read.return_value = "from guardrails.hub.other_org.other_validator.validator import OtherValidator"  # noqa
+
+        hub_seek_spy = mocker.spy(hub_init_file, "seek")
+        hub_write_spy = mocker.spy(hub_init_file, "write")
+        hub_close_spy = mocker.spy(hub_init_file, "close")
+
+        mock_ns_read = mocker.patch.object(ns_init_file, "read")
+        mock_ns_read.return_value = ""
+
+        ns_seek_spy = mocker.spy(ns_init_file, "seek")
+        ns_write_spy = mocker.spy(ns_init_file, "write")
+        ns_close_spy = mocker.spy(ns_init_file, "close")
+
+        mock_is_file = mocker.patch("guardrails.cli.hub.install.os.path.isfile")
+        mock_is_file.return_value = True
+
+        from guardrails.cli.hub.install import add_to_hub_inits
+
+        add_to_hub_inits(manifest, site_packages)
+
+        assert mock_open.call_count == 2
+        open_calls = [
+            call("./site-packages/guardrails/hub/__init__.py", "a+"),
+            call("./site-packages/guardrails/hub/guardrails_ai/__init__.py", "a+"),
+        ]
+        mock_open.assert_has_calls(open_calls)
+
+        assert hub_seek_spy.call_count == 2
+        hub_seek_calls = [call(0, 0), call(0, 2)]
+        hub_seek_spy.assert_has_calls(hub_seek_calls)
+
+        assert mock_hub_read.call_count == 1
+
+        assert hub_write_spy.call_count == 2
+        hub_write_calls = [
+            call("\n"),
+            call(
+                "from guardrails.hub.guardrails_ai.test_validator.validator import TestValidator"  # noqa
+            ),
+        ]
+        hub_write_spy.assert_has_calls(hub_write_calls)
+
+        assert hub_close_spy.call_count == 1
+
+        mock_is_file.assert_called_once_with(
+            "./site-packages/guardrails/hub/guardrails_ai/__init__.py"
+        )
+
+        assert ns_seek_spy.call_count == 2
+        ns_seek_calls = [call(0, 0), call(0, 2)]
+        ns_seek_spy.assert_has_calls(ns_seek_calls)
+
+        assert mock_ns_read.call_count == 1
+        assert ns_write_spy.call_count == 1
+        ns_write_spy.assert_called_once_with(
+            "from guardrails.hub.guardrails_ai.test_validator.validator import TestValidator"  # noqa
+        )
+        assert ns_close_spy.call_count == 1
+
+    def test_creates_namespace_init_if_not_exists(self, mocker):
+        manifest = ModuleManifest.from_dict(
+            {
+                "id": "id",
+                "name": "name",
+                "author": {"name": "me", "email": "me@me.me"},
+                "maintainers": [],
+                "repository": {"url": "some-repo"},
+                "namespace": "guardrails-ai",
+                "package_name": "test-validator",
+                "module_name": "validator",
+                "exports": ["TestValidator"],
+                "tags": {},
+            }
+        )
+        site_packages = "./site-packages"
+
+        hub_init_file = MockFile()
+        ns_init_file = MockFile()
+        mock_open = mocker.patch("guardrails.cli.hub.install.open")
+        mock_open.side_effect = [hub_init_file, ns_init_file]
+
+        mock_hub_read = mocker.patch.object(hub_init_file, "read")
+        mock_hub_read.return_value = "from guardrails.hub.guardrails_ai.test_validator.validator import TestValidator"  # noqa
+
+        mock_ns_read = mocker.patch.object(ns_init_file, "read")
+        mock_ns_read.return_value = ""
+
+        ns_seek_spy = mocker.spy(ns_init_file, "seek")
+        ns_write_spy = mocker.spy(ns_init_file, "write")
+        ns_close_spy = mocker.spy(ns_init_file, "close")
+
+        mock_is_file = mocker.patch("guardrails.cli.hub.install.os.path.isfile")
+        mock_is_file.return_value = False
+
+        from guardrails.cli.hub.install import add_to_hub_inits
+
+        add_to_hub_inits(manifest, site_packages)
+
+        assert mock_open.call_count == 2
+        open_calls = [
+            call("./site-packages/guardrails/hub/__init__.py", "a+"),
+            call("./site-packages/guardrails/hub/guardrails_ai/__init__.py", "w"),
+        ]
+        mock_open.assert_has_calls(open_calls)
+
+        mock_is_file.assert_called_once_with(
+            "./site-packages/guardrails/hub/guardrails_ai/__init__.py"
+        )
+
+        assert ns_seek_spy.call_count == 0
+        assert mock_ns_read.call_count == 0
+        assert ns_write_spy.call_count == 1
+        ns_write_spy.assert_called_once_with(
+            "from guardrails.hub.guardrails_ai.test_validator.validator import TestValidator"  # noqa
+        )
+        assert ns_close_spy.call_count == 1
+
+
+class TestRunPostInstall:
+    @pytest.mark.parametrize(
+        "manifest",
+        [
+            ModuleManifest.from_dict(
+                {
+                    "id": "id",
+                    "name": "name",
+                    "author": {"name": "me", "email": "me@me.me"},
+                    "maintainers": [],
+                    "repository": {"url": "some-repo"},
+                    "namespace": "guardrails-ai",
+                    "package_name": "test-validator",
+                    "module_name": "validator",
+                    "exports": ["TestValidator"],
+                    "tags": {},
+                }
+            ),
+            ModuleManifest.from_dict(
+                {
+                    "id": "id",
+                    "name": "name",
+                    "author": {"name": "me", "email": "me@me.me"},
+                    "maintainers": [],
+                    "repository": {"url": "some-repo"},
+                    "namespace": "guardrails-ai",
+                    "package_name": "test-validator",
+                    "module_name": "validator",
+                    "exports": ["TestValidator"],
+                    "tags": {},
+                    "post_install": "",
+                }
+            ),
+        ],
+    )
+    def test_does_not_run_if_no_script(self, mocker, manifest):
+        mock_subprocess_check_output = mocker.patch(
+            "guardrails.cli.hub.install.subprocess.check_output"
+        )
+        from guardrails.cli.hub.install import run_post_install
+
+        run_post_install(manifest, "./site_packages")
+
+        assert mock_subprocess_check_output.call_count == 0
+
+    def test_runs_script_if_exists(self, mocker):
+        mock_subprocess_check_output = mocker.patch(
+            "guardrails.cli.hub.install.subprocess.check_output"
+        )
+        mock_sys_executable = mocker.patch("guardrails.cli.hub.install.sys.executable")
+        mock_isfile = mocker.patch("guardrails.cli.hub.install.os.path.isfile")
+        mock_isfile.return_value = True
+        from guardrails.cli.hub.install import run_post_install
+
+        manifest = ModuleManifest.from_dict(
+            {
+                "id": "id",
+                "name": "name",
+                "author": {"name": "me", "email": "me@me.me"},
+                "maintainers": [],
+                "repository": {"url": "some-repo"},
+                "namespace": "guardrails-ai",
+                "package_name": "test-validator",
+                "module_name": "validator",
+                "exports": ["TestValidator"],
+                "tags": {},
+                "post_install": "post_install.py",
+            }
+        )
+
+        run_post_install(manifest, "./site_packages")
+
+        assert mock_subprocess_check_output.call_count == 1
+        mock_subprocess_check_output.assert_called_once_with(
+            [
+                mock_sys_executable,
+                "./site_packages/guardrails/hub/guardrails_ai/test_validator/validator/post_install.py",  # noqa
+            ]
+        )
+
+
+@pytest.mark.parametrize(
+    "manifest,expected",
+    [
+        (
+            ModuleManifest.from_dict(
+                {
+                    "id": "id",
+                    "name": "name",
+                    "author": {"name": "me", "email": "me@me.me"},
+                    "maintainers": [],
+                    "repository": {"url": "some-repo"},
+                    "namespace": "guardrails-ai",
+                    "package_name": "test-validator",
+                    "module_name": "validator",
+                    "exports": ["TestValidator"],
+                    "tags": {},
+                }
+            ),
+            "git+some-repo",
+        ),
+        (
+            ModuleManifest.from_dict(
+                {
+                    "id": "id",
+                    "name": "name",
+                    "author": {"name": "me", "email": "me@me.me"},
+                    "maintainers": [],
+                    "repository": {"url": "git+some-repo"},
+                    "namespace": "guardrails-ai",
+                    "package_name": "test-validator",
+                    "module_name": "validator",
+                    "exports": ["TestValidator"],
+                    "tags": {},
+                    "post_install": "",
+                }
+            ),
+            "git+some-repo",
+        ),
+        (
+            ModuleManifest.from_dict(
+                {
+                    "id": "id",
+                    "name": "name",
+                    "author": {"name": "me", "email": "me@me.me"},
+                    "maintainers": [],
+                    "repository": {"url": "git+some-repo", "branch": "prod"},
+                    "namespace": "guardrails-ai",
+                    "package_name": "test-validator",
+                    "module_name": "validator",
+                    "exports": ["TestValidator"],
+                    "tags": {},
+                    "post_install": "",
+                }
+            ),
+            "git+some-repo@prod",
+        ),
+    ],
+)
+def test_get_install_url(manifest, expected):
+    from guardrails.cli.hub.install import get_install_url
+
+    actual = get_install_url(manifest)
+
+    assert actual == expected
+
+
+def test_install_hub_module(mocker):
+    mock_get_install_url = mocker.patch("guardrails.cli.hub.install.get_install_url")
+    mock_get_install_url.return_value = "mock-install-url"
+
+    mock_get_hub_directory = mocker.patch(
+        "guardrails.cli.hub.install.get_hub_directory"
+    )
+    mock_get_hub_directory.return_value = "mock/install/directory"
+
+    mock_pip_process = mocker.patch("guardrails.cli.hub.install.pip_process")
+    inspect_report = {
+        "installed": [
+            {
+                "metadata": {
+                    "requires_dist": [
+                        "rstr",
+                        "openai <2",
+                        "pydash (>=7.0.6,<8.0.0)",
+                        'faiss-cpu (>=1.7.4,<2.0.0) ; extra == "vectordb"',
+                    ]
+                }
+            }
+        ]
+    }
+    mock_pip_process.side_effect = [
+        "Sucessfully installed test-validator",
+        json.dumps(inspect_report),
+        "Sucessfully installed rstr",
+        "Sucessfully installed openai<2",
+        "Sucessfully installed pydash>=7.0.6,<8.0.0",
+    ]
+
+    from guardrails.cli.hub.install import install_hub_module
+
+    manifest = ModuleManifest.from_dict(
+        {
+            "id": "id",
+            "name": "name",
+            "author": {"name": "me", "email": "me@me.me"},
+            "maintainers": [],
+            "repository": {"url": "some-repo"},
+            "namespace": "guardrails-ai",
+            "package_name": "test-validator",
+            "module_name": "validator",
+            "exports": ["TestValidator"],
+            "tags": {},
+        }
+    )
+    site_packages = "./site-packages"
+    install_hub_module(manifest, site_packages)
+
+    mock_get_install_url.assert_called_once_with(manifest)
+    mock_get_hub_directory.assert_called_once_with(manifest, site_packages)
+
+    assert mock_pip_process.call_count == 5
+    pip_calls = [
+        call(
+            "install",
+            "mock-install-url",
+            ["--target=mock/install/directory", "--no-deps"],
+        ),
+        call("inspect", flags=["--path=mock/install/directory"], format="json"),
+        call("install", "rstr"),
+        call("install", "openai<2"),
+        call("install", "pydash>=7.0.6,<8.0.0"),
+    ]
+    mock_pip_process.assert_has_calls(pip_calls)
diff --git a/tests/unit_tests/cli/server/test_auth.py b/tests/unit_tests/cli/server/test_auth.py
new file mode 100644
index 000000000..aff255c98
--- /dev/null
+++ b/tests/unit_tests/cli/server/test_auth.py
@@ -0,0 +1,7 @@
+import pytest
+
+
+# TODO
+@pytest.mark.skip()
+def test_get_auth_token():
+    assert 1 == 1
diff --git a/tests/unit_tests/cli/server/test_hub_client.py b/tests/unit_tests/cli/server/test_hub_client.py
new file mode 100644
index 000000000..a7bafe600
--- /dev/null
+++ b/tests/unit_tests/cli/server/test_hub_client.py
@@ -0,0 +1,31 @@
+import pytest
+
+
+# TODO
+@pytest.mark.skip()
+def test_fetch():
+    assert 1 == 1
+
+
+# TODO
+@pytest.mark.skip()
+def test_fetch_module_manifest():
+    assert 1 == 1
+
+
+# TODO
+@pytest.mark.skip()
+def test_fetch_module():
+    assert 1 == 1
+
+
+# TODO
+@pytest.mark.skip()
+def test_get_validator_manifest():
+    assert 1 == 1
+
+
+# TODO
+@pytest.mark.skip()
+def test_get_auth():
+    assert 1 == 1
diff --git a/tests/unit_tests/cli/test_configure.py b/tests/unit_tests/cli/test_configure.py
new file mode 100644
index 000000000..475673f32
--- /dev/null
+++ b/tests/unit_tests/cli/test_configure.py
@@ -0,0 +1,104 @@
+from unittest.mock import call
+
+import pytest
+
+from tests.unit_tests.mocks.mock_file import MockFile
+
+
+@pytest.mark.parametrize(
+    "client_id,client_secret,no_metrics",
+    [
+        # Note: typer defaults only work through the cli
+        # ("mock_client_id", "mock_client_secret", None),
+        ("mock_client_id", "mock_client_secret", True),
+        ("mock_client_id", "mock_client_secret", False),
+    ],
+)
+def test_configure(mocker, client_id, client_secret, no_metrics):
+    mock_save_configuration_file = mocker.patch(
+        "guardrails.cli.configure.save_configuration_file"
+    )
+    mock_logger_info = mocker.patch("guardrails.cli.configure.logger.info")
+    mock_get_auth = mocker.patch("guardrails.cli.configure.get_auth")
+
+    from guardrails.cli.configure import configure
+
+    configure(client_id, client_secret, no_metrics)
+
+    assert mock_logger_info.call_count == 2
+    expected_calls = [call("Configuring..."), call("Validating credentials...")]
+    mock_logger_info.assert_has_calls(expected_calls)
+
+    mock_save_configuration_file.assert_called_once_with(
+        client_id, client_secret, no_metrics
+    )
+
+    assert mock_get_auth.call_count == 1
+
+
+def test_configure_prompting(mocker):
+    mock_typer_prompt = mocker.patch("typer.prompt")
+    mock_typer_prompt.side_effect = ["id", "secret"]
+    mock_save_configuration_file = mocker.patch(
+        "guardrails.cli.configure.save_configuration_file"
+    )
+    mock_logger_info = mocker.patch("guardrails.cli.configure.logger.info")
+    mock_get_auth = mocker.patch("guardrails.cli.configure.get_auth")
+
+    from guardrails.cli.configure import configure
+
+    configure(None, None, False)
+
+    assert mock_typer_prompt.call_count == 2
+    expected_calls = [call("Client ID"), call("Client secret", hide_input=True)]
+    mock_typer_prompt.assert_has_calls(expected_calls)
+
+    assert mock_logger_info.call_count == 2
+    expected_calls = [call("Configuring..."), call("Validating credentials...")]
+    mock_logger_info.assert_has_calls(expected_calls)
+
+    mock_save_configuration_file.assert_called_once_with("id", "secret", False)
+
+    assert mock_get_auth.call_count == 1
+
+
+def test_save_configuration_file(mocker):
+    # TODO: Re-enable this once we move nltk.download calls to individual validator repos.  # noqa
+    # Right now, it fires during our import chain, causing this to blow up
+    mocker.patch("nltk.data.find")
+    mocker.patch("nltk.download")
+
+    expanduser_mock = mocker.patch("guardrails.cli.configure.expanduser")
+    expanduser_mock.return_value = "/Home"
+
+    import os
+
+    join_spy = mocker.spy(os.path, "join")
+
+    mock_file = MockFile()
+    mock_open = mocker.patch("guardrails.cli.configure.open")
+    mock_open.return_value = mock_file
+
+    mock_uuid = mocker.patch("guardrails.cli.configure.uuid.uuid4")
+    mock_uuid.return_value = "f49354e0-80c7-4591-81db-cc2f945e5f1e"
+
+    writelines_spy = mocker.spy(mock_file, "writelines")
+    close_spy = mocker.spy(mock_file, "close")
+
+    from guardrails.cli.configure import save_configuration_file
+
+    save_configuration_file("id", "secret", True)
+
+    assert expanduser_mock.called is True
+    join_spy.assert_called_once_with("/Home", ".guardrailsrc")
+
+    assert mock_open.call_count == 1
+    writelines_spy.assert_called_once_with(
+        [
+            f"id=f49354e0-80c7-4591-81db-cc2f945e5f1e{os.linesep}",
+            f"client_id=id{os.linesep}",
+            f"client_secret=secret{os.linesep}",
+            f"no_metrics=true{os.linesep}",
+        ]
+    )
+    assert close_spy.call_count == 1
diff --git a/tests/unit_tests/cli/test_validate.py b/tests/unit_tests/cli/test_validate.py
new file mode 100644
index 000000000..22a9ebc90
--- /dev/null
+++ b/tests/unit_tests/cli/test_validate.py
@@ -0,0 +1,65 @@
+from tests.unit_tests.mocks.mock_file import MockFile
+
+
+def test_validate(mocker):
+    mocker.patch("nltk.data.find")
+    mocker.patch("nltk.download")
+
+    mock_validate_llm_output = mocker.patch(
+        "guardrails.cli.validate.validate_llm_output"
+    )
+    mock_validate_llm_output.return_value = "validated output"
+
+    mock_file = MockFile()
+    mock_open = mocker.patch("guardrails.cli.validate.open")
+    mock_open.return_value = mock_file
+    write_spy = mocker.spy(mock_file, "write")
+
+    mock_json_dump = mocker.patch("json.dump")
+
+    import builtins
+
+    print_spy = mocker.spy(builtins, "print")
+
+    from guardrails.cli.validate import validate
+
+    response = validate("my_spec.rail", "output", out="somewhere")
+
+    mock_validate_llm_output.assert_called_once_with("my_spec.rail", "output")
+
+    print_spy.assert_called_once_with("validated output")
+    mock_open.assert_called_once_with("somewhere", "w")
+    mock_json_dump.assert_called_once_with("validated output", mock_file)
+    write_spy.assert_called_once_with("\n")
+
+    assert response == "validated output"
+
+
+def test_validate_llm_output(mocker):
+    class MockGuard:
+        def parse(self, *args):
+            pass
+
+    from guardrails import Guard
+    from guardrails.classes import ValidationOutcome
+
+    mock_guard = MockGuard()
+    from_rail_mock = mocker.patch.object(Guard, "from_rail")
+    from_rail_mock.return_value = mock_guard
+
+    parse_mock = mocker.patch.object(mock_guard, "parse")
+    parse_mock.return_value = ValidationOutcome(
+        raw_llm_output="output",
+        validated_output="validated output",
+        validation_passed=True,
+    )
+
+    from guardrails.cli.validate import validate_llm_output
+
+    rail = "my_spec.rail"
+    response = validate_llm_output(rail, "output")
+
+    from_rail_mock.assert_called_once_with(rail)
+    parse_mock.assert_called_once_with("output")
+
+    assert response == "validated output"
diff --git a/tests/unit_tests/mocks/mock_file.py b/tests/unit_tests/mocks/mock_file.py
new file mode 100644
index 000000000..03bb5983f
--- /dev/null
+++ b/tests/unit_tests/mocks/mock_file.py
@@ -0,0 +1,31 @@
+from contextlib import AbstractContextManager
+from types import TracebackType
+from typing import Optional, Type
+
+
+class MockFile(AbstractContextManager):
+    def __exit__(
+        self,
+        __exc_type: Optional[Type[BaseException]],
+        __exc_value: Optional[BaseException],
+        __traceback: Optional[TracebackType],
+    ) -> Optional[bool]:
+        return super().__exit__(__exc_type, __exc_value, __traceback)
+
+    def readlines(self):
+        pass
+
+    def writelines(self, *args):
+        pass
+
+    def close(self):
+        pass
+
+    def read(self, *args):
+        pass
+
+    def write(self, *args):
+        pass
+
+    def seek(self, *args):
+        pass
diff --git a/tests/unit_tests/test_async_validator_service.py b/tests/unit_tests/test_async_validator_service.py
index 8b52db16f..ca24dae7a 100644
--- a/tests/unit_tests/test_async_validator_service.py
+++ b/tests/unit_tests/test_async_validator_service.py
@@ -187,6 +187,7 @@ async def test_run_validators(mocker):
 
     def mock_run_validator(iteration, validator, value, metadata, property_path):
         return ValidatorLogs(
+            registered_name=validator.name,
             validator_name=validator.name,
             value_before_validation=value,
             validation_result=PassResult(),
@@ -253,6 +254,7 @@ async def test_run_validators_with_override(mocker):
 
     run_validator_mock = mocker.patch.object(avs, "run_validator")
     run_validator_mock.return_value = ValidatorLogs(
+        registered_name="override",
         validator_name="override",
         value_before_validation="mock-value",
         validation_result=PassResult(value_override="override"),
diff --git a/tests/unit_tests/test_guard.py b/tests/unit_tests/test_guard.py
index 6fd515a50..40798cf45 100644
--- a/tests/unit_tests/test_guard.py
+++ b/tests/unit_tests/test_guard.py
@@ -4,8 +4,17 @@
 
 from guardrails import Guard, Rail, Validator
 from guardrails.datatypes import verify_metadata_requirements
+from guardrails.utils import args, kwargs, on_fail
 from guardrails.utils.openai_utils import OPENAI_VERSION
-from guardrails.validators import PassResult, register_validator
+from guardrails.validators import (  # ReadingTime,
+    EndsWith,
+    LowerCase,
+    OneLine,
+    PassResult,
+    TwoWords,
+    ValidLength,
+    register_validator,
+)
 
 
 @register_validator("myrequiringvalidator", data_type="string")
@@ -170,3 +179,137 @@ def guard_init_from_rail():
         == "You are a helpful bot, who answers only with valid JSON"
     )
     assert guard.prompt.format().source.strip() == "Extract a string from the text"
+
+
+def test_use():
+    guard: Guard = (
+        Guard()
+        .use(EndsWith("a"))
+        .use(OneLine())
+        .use(LowerCase)
+        .use(TwoWords, on_fail="reask")
+        .use(ValidLength, 0, 12, on_fail="refrain")
+    )
+
+    # print(guard.__stringify__())
+    assert len(guard._validators) == 5
+
+    assert isinstance(guard._validators[0], EndsWith)
+    assert guard._validators[0]._kwargs["end"] == "a"
+    assert guard._validators[0].on_fail_descriptor == "fix"  # bc this is the default
+
+    assert isinstance(guard._validators[1], OneLine)
+    assert guard._validators[1].on_fail_descriptor == "noop"  # bc this is the default
+
+    assert isinstance(guard._validators[2], LowerCase)
+    assert guard._validators[2].on_fail_descriptor == "noop"  # bc this is the default
+
+    assert isinstance(guard._validators[3], TwoWords)
+    assert guard._validators[3].on_fail_descriptor == "reask"  # bc we set it
+
+    assert isinstance(guard._validators[4], ValidLength)
+    assert guard._validators[4]._min == 0
+    assert guard._validators[4]._kwargs["min"] == 0
+    assert guard._validators[4]._max == 12
+    assert guard._validators[4]._kwargs["max"] == 12
+    assert guard._validators[4].on_fail_descriptor == "refrain"  # bc we set it
+
+
+def test_use_many_instances():
+    guard: Guard = Guard().use_many(
+        EndsWith("a"), OneLine(), LowerCase(), TwoWords(on_fail="reask")
+    )
+
+    # print(guard.__stringify__())
+    assert len(guard._validators) == 4
+
+    assert isinstance(guard._validators[0], EndsWith)
+    assert guard._validators[0]._end == "a"
+    assert guard._validators[0]._kwargs["end"] == "a"
+    assert guard._validators[0].on_fail_descriptor == "fix"  # bc this is the default
+
+    assert isinstance(guard._validators[1], OneLine)
+    assert guard._validators[1].on_fail_descriptor == "noop"  # bc this is the default
+
+    assert isinstance(guard._validators[2], LowerCase)
+    assert guard._validators[2].on_fail_descriptor == "noop"  # bc this is the default
+
+    assert isinstance(guard._validators[3], TwoWords)
+    assert guard._validators[3].on_fail_descriptor == "reask"  # bc we set it
+
+
+def test_use_many_tuple():
+    guard: Guard = Guard().use_many(
+        OneLine,
+        (EndsWith, ["a"], {"on_fail": "exception"}),
+        (LowerCase, kwargs(on_fail="fix_reask", some_other_kwarg="kwarg")),
+        (TwoWords, on_fail("reask")),
+        (ValidLength, args(0, 12), kwargs(on_fail="refrain")),
+    )
+
+    # print(guard.__stringify__())
+    assert len(guard._validators) == 5
+
+    assert isinstance(guard._validators[0], OneLine)
+    assert guard._validators[0].on_fail_descriptor == "noop"  # bc this is the default
+
+    assert isinstance(guard._validators[1], EndsWith)
+    assert guard._validators[1]._end == "a"
+    assert guard._validators[1]._kwargs["end"] == "a"
+    assert guard._validators[1].on_fail_descriptor == "exception"  # bc we set it
+
+    assert isinstance(guard._validators[2], LowerCase)
+    assert guard._validators[2]._kwargs["some_other_kwarg"] == "kwarg"
+    assert (
+        guard._validators[2].on_fail_descriptor == "fix_reask"
+    )  # bc this is the default
+
+    assert isinstance(guard._validators[3], TwoWords)
+    assert guard._validators[3].on_fail_descriptor == "reask"  # bc we set it
+
+    assert isinstance(guard._validators[4], ValidLength)
+    assert guard._validators[4]._min == 0
+    assert guard._validators[4]._kwargs["min"] == 0
+    assert guard._validators[4]._max == 12
+    assert guard._validators[4]._kwargs["max"] == 12
+    assert guard._validators[4].on_fail_descriptor == "refrain"  # bc we set it
+
+
+def test_validate():
+    guard: Guard = (
+        Guard()
+        .use(EndsWith("a"))
+        .use(OneLine)
+        .use(LowerCase(on_fail="fix"))
+        .use(TwoWords)
+        .use(ValidLength, 0, 12, on_fail="refrain")
+    )
+
+    llm_output = "Oh Canada"  # bc it meets our criteria
+
+    response = guard.validate(llm_output)
+
+    assert response.validation_passed is True
+    assert response.validated_output == llm_output.lower()
+
+    llm_output_2 = "Star Spangled Banner"  # to stick with the theme
+
+    response_2 = guard.validate(llm_output_2)
+
+    assert response_2.validation_passed is False
+    assert response_2.validated_output is None
+
+
+# def test_call():
+#     five_seconds = 5 / 60
+#     response = Guard().use_many(
+#         ReadingTime(five_seconds, on_fail="exception"),
+#         OneLine,
+#         (EndsWith, ["a"], {"on_fail": "exception"}),
+#         (LowerCase, kwargs(on_fail="fix_reask", some_other_kwarg="kwarg")),
+#         (TwoWords, on_fail("reask")),
+#         (ValidLength, args(0, 12), kwargs(on_fail="refrain")),
+#     )("Oh Canada")
+
+#     assert response.validation_passed is True
+#     assert response.validated_output == "oh canada"
diff --git a/tests/unit_tests/test_validators.py b/tests/unit_tests/test_validators.py
index ea2c55117..28ddf37e3 100644
--- a/tests/unit_tests/test_validators.py
+++ b/tests/unit_tests/test_validators.py
@@ -9,6 +9,7 @@
 
 from guardrails import Guard
 from guardrails.datatypes import DataType
+from guardrails.errors import ValidationError
 from guardrails.schema import StringSchema
 from guardrails.utils.openai_utils import (
     OPENAI_VERSION,
@@ -22,7 +23,6 @@
     PassResult,
     Refrain,
     ValidationResult,
-    ValidatorError,
     check_refrain_in_dict,
     filter_in_dict,
     register_validator,
@@ -604,7 +604,7 @@ def custom_reask_on_fail_handler(value: Any, fail_results: List[FailResult]):
 
 
 def custom_exception_on_fail_handler(value: Any, fail_results: List[FailResult]):
-    raise ValidatorError("Something went wrong!")
+    raise ValidationError("Something went wrong!")
 
 
 def custom_filter_on_fail_handler(value: Any, fail_results: List[FailResult]):
@@ -637,11 +637,11 @@ def custom_refrain_on_fail_handler(value: Any, fail_results: List[FailResult]):
         ),
         (
             custom_exception_on_fail_handler,
-            ValidatorError,
+            ValidationError,
         ),
         (
             custom_filter_on_fail_handler,
-            {"name": "Fido"},
+            None,
         ),
         (
             custom_refrain_on_fail_handler,
@@ -682,7 +682,7 @@ class Pet(BaseModel):
 
     guard = Guard.from_pydantic(output_class=Pet, prompt=prompt)
     if isinstance(expected_result, type) and issubclass(expected_result, Exception):
-        with pytest.raises(ValidatorError) as excinfo:
+        with pytest.raises(ValidationError) as excinfo:
             guard.parse(output, num_reasks=0)
         assert str(excinfo.value) == "Something went wrong!"
     else:
@@ -698,48 +698,15 @@ class Pet(BaseModel):
 
 
 def test_input_validation_fix(mocker):
-    if OPENAI_VERSION.startswith("0"):
-        mock_openai = mocker.patch("openai.Completion.create")
-        mock_openai.return_value = {
-            "choices": [
-                {
-                    "text": json.dumps({"name": "Fluffy"}),
-                }
-            ],
-            "usage": {
-                "prompt_tokens": 10,
-                "completion_tokens": 20,
-            },
-        }
-    else:
-        from openai.types import Completion, CompletionChoice, CompletionUsage
-
-        return Completion(
-            id="",
-            choices=[
-                CompletionChoice(
-                    finish_reason="stop",
-                    index=0,
-                    logprobs=None,
-                    text=json.dumps({"name": "Fluffy"}),
-                ),
-            ],
-            created=0,
-            model="",
-            object="text_completion",
-            usage=CompletionUsage(
-                completion_tokens=20,
-                prompt_tokens=10,
-                total_tokens=30,
-            ),
-        )
+    def mock_llm_api(*args, **kwargs):
+        return json.dumps({"name": "Fluffy"})
 
     # fix returns an amended value for prompt/instructions validation,
     guard = Guard.from_pydantic(output_class=Pet).with_prompt_validation(
         validators=[TwoWords(on_fail="fix")]
     )
     guard(
-        get_static_openai_create_func(),
+        mock_llm_api,
         prompt="What kind of pet should I get?",
     )
     assert guard.history.first.iterations.first.outputs.validation_output == "What kind"
@@ -747,7 +714,7 @@ def test_input_validation_fix(mocker):
         validators=[TwoWords(on_fail="fix")]
     )
     guard(
-        get_static_openai_create_func(),
+        mock_llm_api,
         prompt="What kind of pet should I get and what should I name it?",
         instructions="But really, what kind of pet should I get?",
     )
@@ -759,9 +726,9 @@ def test_input_validation_fix(mocker):
     guard = Guard.from_pydantic(output_class=Pet).with_msg_history_validation(
         validators=[TwoWords(on_fail="fix")]
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         guard(
-            get_static_openai_create_func(),
+            mock_llm_api,
             msg_history=[
                 {
                     "role": "user",
@@ -770,7 +737,7 @@ def test_input_validation_fix(mocker):
             ],
         )
     assert str(excinfo.value) == "Message history validation failed"
-    assert isinstance(guard.history.first.exception, ValidatorError)
+    assert isinstance(guard.history.first.exception, ValidationError)
     assert guard.history.first.exception == excinfo.value
 
     # rail prompt validation
@@ -789,7 +756,7 @@ def test_input_validation_fix(mocker):
 """
     )
     guard(
-        get_static_openai_create_func(),
+        mock_llm_api,
     )
     assert guard.history.first.iterations.first.outputs.validation_output == "This is"
 
@@ -812,7 +779,7 @@ def test_input_validation_fix(mocker):
 """
     )
     guard(
-        get_static_openai_create_func(),
+        mock_llm_api,
     )
     assert guard.history.first.iterations.first.outputs.validation_output == "This also"
 
@@ -820,25 +787,15 @@ def test_input_validation_fix(mocker):
 @pytest.mark.asyncio
 @pytest.mark.skipif(not OPENAI_VERSION.startswith("0"), reason="Not supported in v1")
 async def test_async_input_validation_fix(mocker):
-    mock_openai = mocker.patch("openai.Completion.acreate")
-    mock_openai.return_value = {
-        "choices": [
-            {
-                "text": json.dumps({"name": "Fluffy"}),
-            }
-        ],
-        "usage": {
-            "prompt_tokens": 10,
-            "completion_tokens": 20,
-        },
-    }
+    async def mock_llm_api(*args, **kwargs):
+        return json.dumps({"name": "Fluffy"})
 
     # fix returns an amended value for prompt/instructions validation,
     guard = Guard.from_pydantic(output_class=Pet).with_prompt_validation(
         validators=[TwoWords(on_fail="fix")]
     )
     await guard(
-        get_static_openai_acreate_func(),
+        mock_llm_api,
         prompt="What kind of pet should I get?",
     )
     assert guard.history.first.iterations.first.outputs.validation_output == "What kind"
@@ -847,7 +804,7 @@ async def test_async_input_validation_fix(mocker):
         validators=[TwoWords(on_fail="fix")]
     )
     await guard(
-        get_static_openai_acreate_func(),
+        mock_llm_api,
         prompt="What kind of pet should I get and what should I name it?",
         instructions="But really, what kind of pet should I get?",
     )
@@ -859,9 +816,9 @@ async def test_async_input_validation_fix(mocker):
     guard = Guard.from_pydantic(output_class=Pet).with_msg_history_validation(
         validators=[TwoWords(on_fail="fix")]
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         await guard(
-            get_static_openai_acreate_func(),
+            mock_llm_api,
             msg_history=[
                 {
                     "role": "user",
@@ -870,7 +827,7 @@ async def test_async_input_validation_fix(mocker):
             ],
         )
     assert str(excinfo.value) == "Message history validation failed"
-    assert isinstance(guard.history.first.exception, ValidatorError)
+    assert isinstance(guard.history.first.exception, ValidationError)
     assert guard.history.first.exception == excinfo.value
 
     # rail prompt validation
@@ -889,7 +846,7 @@ async def test_async_input_validation_fix(mocker):
 """
     )
     await guard(
-        get_static_openai_acreate_func(),
+        mock_llm_api,
     )
     assert guard.history.first.iterations.first.outputs.validation_output == "This is"
 
@@ -912,7 +869,7 @@ async def test_async_input_validation_fix(mocker):
 """
     )
     await guard(
-        get_static_openai_acreate_func(),
+        mock_llm_api,
     )
     assert guard.history.first.iterations.first.outputs.validation_output == "This also"
 
@@ -971,34 +928,34 @@ def test_input_validation_fail(
     guard = Guard.from_pydantic(output_class=Pet).with_prompt_validation(
         validators=[TwoWords(on_fail=on_fail)]
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         guard(
             get_static_openai_create_func(),
             prompt="What kind of pet should I get?",
         )
     assert str(excinfo.value) == structured_prompt_error
-    assert isinstance(guard.history.last.exception, ValidatorError)
+    assert isinstance(guard.history.last.exception, ValidationError)
     assert guard.history.last.exception == excinfo.value
 
     # with_instructions_validation
     guard = Guard.from_pydantic(output_class=Pet).with_instructions_validation(
         validators=[TwoWords(on_fail=on_fail)]
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         guard(
             get_static_openai_create_func(),
             prompt="What kind of pet should I get and what should I name it?",
             instructions="What kind of pet should I get?",
         )
     assert str(excinfo.value) == structured_instructions_error
-    assert isinstance(guard.history.last.exception, ValidatorError)
+    assert isinstance(guard.history.last.exception, ValidationError)
     assert guard.history.last.exception == excinfo.value
 
     # with_msg_history_validation
     guard = Guard.from_pydantic(output_class=Pet).with_msg_history_validation(
         validators=[TwoWords(on_fail=on_fail)]
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         guard(
             get_static_openai_create_func(),
             msg_history=[
@@ -1009,7 +966,7 @@ def test_input_validation_fail(
             ],
         )
     assert str(excinfo.value) == structured_message_history_error
-    assert isinstance(guard.history.last.exception, ValidatorError)
+    assert isinstance(guard.history.last.exception, ValidationError)
     assert guard.history.last.exception == excinfo.value
 
     # rail prompt validation
@@ -1027,12 +984,12 @@ def test_input_validation_fail(
 </rail>
 """
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         guard(
             get_static_openai_create_func(),
         )
     assert str(excinfo.value) == unstructured_prompt_error
-    assert isinstance(guard.history.last.exception, ValidatorError)
+    assert isinstance(guard.history.last.exception, ValidationError)
     assert guard.history.last.exception == excinfo.value
 
     # rail instructions validation
@@ -1053,12 +1010,12 @@ def test_input_validation_fail(
 </rail>
 """
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         guard(
             get_static_openai_create_func(),
         )
     assert str(excinfo.value) == unstructured_instructions_error
-    assert isinstance(guard.history.last.exception, ValidatorError)
+    assert isinstance(guard.history.last.exception, ValidationError)
     assert guard.history.last.exception == excinfo.value
 
 
@@ -1118,34 +1075,34 @@ async def test_input_validation_fail_async(
     guard = Guard.from_pydantic(output_class=Pet).with_prompt_validation(
         validators=[TwoWords(on_fail=on_fail)]
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         await guard(
             get_static_openai_acreate_func(),
             prompt="What kind of pet should I get?",
         )
     assert str(excinfo.value) == structured_prompt_error
-    assert isinstance(guard.history.last.exception, ValidatorError)
+    assert isinstance(guard.history.last.exception, ValidationError)
     assert guard.history.last.exception == excinfo.value
 
     # with_instructions_validation
     guard = Guard.from_pydantic(output_class=Pet).with_instructions_validation(
         validators=[TwoWords(on_fail=on_fail)]
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         await guard(
             get_static_openai_acreate_func(),
             prompt="What kind of pet should I get and what should I name it?",
             instructions="What kind of pet should I get?",
         )
     assert str(excinfo.value) == structured_instructions_error
-    assert isinstance(guard.history.last.exception, ValidatorError)
+    assert isinstance(guard.history.last.exception, ValidationError)
     assert guard.history.last.exception == excinfo.value
 
     # with_msg_history_validation
     guard = Guard.from_pydantic(output_class=Pet).with_msg_history_validation(
         validators=[TwoWords(on_fail=on_fail)]
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         await guard(
             get_static_openai_acreate_func(),
             msg_history=[
@@ -1156,7 +1113,7 @@ async def test_input_validation_fail_async(
             ],
         )
     assert str(excinfo.value) == structured_message_history_error
-    assert isinstance(guard.history.last.exception, ValidatorError)
+    assert isinstance(guard.history.last.exception, ValidationError)
     assert guard.history.last.exception == excinfo.value
 
     # rail prompt validation
@@ -1174,12 +1131,12 @@ async def test_input_validation_fail_async(
 </rail>
 """
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         await guard(
             get_static_openai_acreate_func(),
         )
     assert str(excinfo.value) == unstructured_prompt_error
-    assert isinstance(guard.history.last.exception, ValidatorError)
+    assert isinstance(guard.history.last.exception, ValidationError)
     assert guard.history.last.exception == excinfo.value
 
     # rail instructions validation
@@ -1200,12 +1157,12 @@ async def test_input_validation_fail_async(
 </rail>
 """
     )
-    with pytest.raises(ValidatorError) as excinfo:
+    with pytest.raises(ValidationError) as excinfo:
         await guard(
             get_static_openai_acreate_func(),
         )
     assert str(excinfo.value) == unstructured_instructions_error
-    assert isinstance(guard.history.last.exception, ValidatorError)
+    assert isinstance(guard.history.last.exception, ValidationError)
     assert guard.history.last.exception == excinfo.value
 
 
diff --git a/tests/unit_tests/validators/test_parameters.py b/tests/unit_tests/validators/test_parameters.py
index 5cd044483..4cf3eadce 100644
--- a/tests/unit_tests/validators/test_parameters.py
+++ b/tests/unit_tests/validators/test_parameters.py
@@ -151,15 +151,6 @@
             This string is fairly short and should be able to be read in the given
               timeframe but I wonder if we copy this multiple times and shortened
                 the time frame to a fraction of the time
-            This string is fairly short and should be able to be read in the given
-              timeframe but I wonder if we copy this multiple times and shortened
-                the time frame to a fraction of the time
-            This string is fairly short and should be able to be read in the given
-              timeframe but I wonder if we copy this multiple times and shortened
-                the time frame to a fraction of the time""",
-            "metadata": {},
-            "expected_result": FailResult,
-            "fix_value": """
             This string is fairly short and should be able to be read in the given
               timeframe but I wonder if we copy this multiple times and shortened
                 the time frame to a fraction of the time
@@ -172,8 +163,10 @@
             This string is fairly short and should be able to be read in the given
               timeframe but I wonder if we copy this multiple times and shortened
                 the time frame to a fraction of the time""",
+            "metadata": {},
+            "expected_result": FailResult,
             "instance_variables": {
-                "reading_time": 1,
+                "reading_time": 1 / 60,
             },
         },
     ],