diff --git a/guardrails/classes/history/call.py b/guardrails/classes/history/call.py
index 287d344cc..503cefb9a 100644
--- a/guardrails/classes/history/call.py
+++ b/guardrails/classes/history/call.py
@@ -99,8 +99,8 @@ def reask_prompts(self) -> Stack[Optional[str]]:
 
     @property
     def instructions(self) -> Optional[str]:
-        """The instructions as provided by the user when initializing or calling
-        the Guard."""
+        """The instructions as provided by the user when initializing or
+        calling the Guard."""
         return self.inputs.instructions
 
     @property
diff --git a/guardrails/guard.py b/guardrails/guard.py
index 335c832af..63e9e6da9 100644
--- a/guardrails/guard.py
+++ b/guardrails/guard.py
@@ -1366,6 +1366,10 @@ def validate(self, llm_output: str, *args, **kwargs) -> ValidationOutcome[str]:
     # def __call__(self, llm_output: str, *args, **kwargs) -> ValidationOutcome[str]:
     #     return self.validate(llm_output, *args, **kwargs)
 
+    @deprecated(
+        """'Guard.invoke' is deprecated and will be removed in \
+versions 0.5.x and beyond. Use Guard.to_runnable() instead."""
+    )
     def invoke(
         self, input: InputType, config: Optional[RunnableConfig] = None
     ) -> InputType:
@@ -1545,3 +1549,8 @@ def _call_server(
             )
         else:
             raise ValueError("Guard does not have an api client!")
+
+    def to_runnable(self) -> Runnable:
+        from guardrails.integrations.langchain.guard_runnable import GuardRunnable
+
+        return GuardRunnable(self)
diff --git a/guardrails/integrations/langchain/guard_runnable.py b/guardrails/integrations/langchain/guard_runnable.py
new file mode 100644
index 000000000..873357bb2
--- /dev/null
+++ b/guardrails/integrations/langchain/guard_runnable.py
@@ -0,0 +1,48 @@
+import json
+from copy import deepcopy
+from typing import Dict, Optional, cast
+from langchain_core.messages import BaseMessage
+from langchain_core.runnables import Runnable, RunnableConfig
+from guardrails.classes.input_type import InputType
+from guardrails.errors import ValidationError
+from guardrails.guard import Guard
+
+
+class GuardRunnable(Runnable):
+    guard: Guard
+
+    def __init__(self, guard: Guard):
+        self.name = guard.name
+        self.guard = guard
+
+    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.guard.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/integrations/langchain/validator_runnable.py b/guardrails/integrations/langchain/validator_runnable.py
new file mode 100644
index 000000000..7740bd73a
--- /dev/null
+++ b/guardrails/integrations/langchain/validator_runnable.py
@@ -0,0 +1,43 @@
+from copy import deepcopy
+from typing import Optional, cast
+from langchain_core.messages import BaseMessage
+from langchain_core.runnables import Runnable, RunnableConfig
+from guardrails.classes.input_type import InputType
+from guardrails.errors import ValidationError
+from guardrails.validator_base import FailResult, Validator
+
+
+class ValidatorRunnable(Runnable):
+    validator: Validator
+
+    def __init__(self, validator: Validator):
+        self.name = validator.rail_alias
+        self.validator = validator
+
+    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.validator.validate(str_input, self.validator._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)
diff --git a/guardrails/validator_base.py b/guardrails/validator_base.py
index 2b92915d9..fa01573f1 100644
--- a/guardrails/validator_base.py
+++ b/guardrails/validator_base.py
@@ -15,6 +15,7 @@
     Union,
     cast,
 )
+from typing_extensions import deprecated
 from warnings import warn
 
 from langchain_core.messages import BaseMessage
@@ -541,6 +542,10 @@ def __stringify__(self):
             }
         )
 
+    @deprecated(
+        """'Validator.invoke' is deprecated and will be removed in \
+    versions 0.5.x and beyond. Use Validator.to_runnable() instead."""
+    )
     def invoke(
         self, input: InputType, config: Optional[RunnableConfig] = None
     ) -> InputType:
@@ -592,5 +597,12 @@ def with_metadata(self, metadata: Dict[str, Any]):
         self._metadata = metadata
         return self
 
+    def to_runnable(self) -> Runnable:
+        from guardrails.integrations.langchain.validator_runnable import (
+            ValidatorRunnable,
+        )
+
+        return ValidatorRunnable(self)
+
 
 ValidatorSpec = Union[Validator, Tuple[Union[Validator, str, Callable], str]]
diff --git a/poetry.lock b/poetry.lock
index 5b3139c96..228329555 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "aiohttp"
@@ -1662,29 +1662,62 @@ optional = true
 python-versions = ">=3.7"
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+    {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d353cadd6083fdb056bb46ed07e4340b0869c305c8ca54ef9da3421acbdf6881"},
+    {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:dca1e2f3ca00b84a396bc1bce13dd21f680f035314d2379c4160c98153b2059b"},
+    {file = "greenlet-3.0.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:3ed7fb269f15dc662787f4119ec300ad0702fa1b19d2135a37c2c4de6fadfd4a"},
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+    {file = "greenlet-3.0.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:7f362975f2d179f9e26928c5b517524e89dd48530a0202570d55ad6ca5d8a56f"},
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     {file = "greenlet-3.0.3.tar.gz", hash = "sha256:43374442353259554ce33599da8b692d5aa96f8976d567d4badf263371fbe491"},
 ]
 
@@ -2807,6 +2840,7 @@ files = [
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+    {file = "lxml-4.9.4-cp312-cp312-win32.whl", hash = "sha256:266f655d1baff9c47b52f529b5f6bec33f66042f65f7c56adde3fcf2ed62ae8b"},
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@@ -4349,8 +4383,8 @@ files = [
 [package.dependencies]
 numpy = [
     {version = ">=1.20.3", markers = "python_version < \"3.10\""},
-    {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
     {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
+    {version = ">=1.21.0", markers = "python_version >= \"3.10\" and python_version < \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -5343,6 +5377,7 @@ files = [
     {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
     {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
+    {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
     {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
     {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
     {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
@@ -8321,4 +8356,4 @@ vectordb = ["faiss-cpu", "numpy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.8.1"
-content-hash = "ebae16aa66c7e7789668d5f7ec3779ee60055f427df9b4ede98596a3a6bc5d2f"
+content-hash = "fe6b6c42df209d16b013d3b8cd070399bb5804d4c10a28868a92d513c7fc520a"
diff --git a/pyproject.toml b/pyproject.toml
index f8413f823..64d9bd868 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -53,7 +53,7 @@ pydoc-markdown = "4.8.2"
 opentelemetry-sdk = "1.20.0"
 opentelemetry-exporter-otlp-proto-grpc = "1.20.0"
 opentelemetry-exporter-otlp-proto-http = "1.20.0"
-langchain-core = "^0.1.18"
+langchain-core = ">=0.1,<0.3"
 coloredlogs = "^15.0.1"
 requests = "^2.31.0"
 guardrails-api-client = "^0.1.1"
diff --git a/tests/integration_tests/integrations/langchain/test_guard_runnable.py b/tests/integration_tests/integrations/langchain/test_guard_runnable.py
new file mode 100644
index 000000000..02205fe0c
--- /dev/null
+++ b/tests/integration_tests/integrations/langchain/test_guard_runnable.py
@@ -0,0 +1,61 @@
+from typing import Optional
+
+import pytest
+
+from guardrails.guard import Guard
+
+
+@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", on_fail="refrain"), on="output"
+        )
+        .use(ReadingTime(0.05, on_fail="refrain"))  # 3 seconds
+    )
+    output_parser = StrOutputParser()
+
+    chain = prompt | model | guard.to_runnable() | 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/integrations/langchain/test_validator_runnable.py b/tests/integration_tests/integrations/langchain/test_validator_runnable.py
new file mode 100644
index 000000000..a42546d4e
--- /dev/null
+++ b/tests/integration_tests/integrations/langchain/test_validator_runnable.py
@@ -0,0 +1,57 @@
+from typing import Optional
+
+import pytest
+
+
+@pytest.mark.parametrize(
+    "output,throws,expected_error",
+    [
+        ("Ice cream is frozen.", False, None),
+        (
+            "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_guard_as_runnable(output: str, throws: bool, expected_error: Optional[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", on_fail="refrain"
+    ).to_runnable()
+    reading_time = ReadingTime(0.05, on_fail="refrain").to_runnable()
+
+    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" {expected_error}"
+        )
+
+    else:
+        result = chain.invoke({"topic": topic})
+
+        assert result == output