From 68819290709a4721e8b646bca03271b6b8a75c8b Mon Sep 17 00:00:00 2001 From: Caleb Courier <13314870+CalebCourier@users.noreply.github.com> Date: Mon, 24 Nov 2025 09:45:05 -0600 Subject: [PATCH 1/4] Langchain 1.x support (#1359) * langchain 1.x; python >= 3.10 * docs build * update langchain notebook --- .../dist/examples/langchain_integration.ipynb | 221 ++++ docs/dist/examples/langchain_integration.md | 118 ++ docs/examples-toc.json | 5 + docs/src/examples/langchain_integration.ipynb | 223 ++++ .../integrations/langchain/base_runnable.py | 14 +- poetry.lock | 1097 ++--------------- pyproject.toml | 17 +- .../langchain/test_guard_runnable.py | 7 +- .../langchain/test_validator_runnable.py | 7 +- 9 files changed, 662 insertions(+), 1047 deletions(-) create mode 100644 docs/dist/examples/langchain_integration.ipynb create mode 100644 docs/dist/examples/langchain_integration.md create mode 100644 docs/src/examples/langchain_integration.ipynb diff --git a/docs/dist/examples/langchain_integration.ipynb b/docs/dist/examples/langchain_integration.ipynb new file mode 100644 index 000000000..c2a7e59da --- /dev/null +++ b/docs/dist/examples/langchain_integration.ipynb @@ -0,0 +1,221 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0f4d10ab", + "metadata": {}, + "source": [ + "# LangChain\n", + "\n", + "## Overview\n", + "\n", + "This is a comprehensive guide on integrating Guardrails with [LangChain](https://github.com/langchain-ai/langchain), a framework for developing applications powered by large language models. By combining the validation capabilities of Guardrails with the flexible architecture of LangChain, you can create reliable and robust AI applications.\n", + "\n", + "### Key Features\n", + "\n", + "- **Easy Integration**: Guardrails can be seamlessly added to LangChain's LCEL syntax, allowing for quick implementation of validation checks.\n", + "- **Flexible Validation**: Guardrails provides various validators that can be used to enforce structural, type, and quality constraints on LLM outputs.\n", + "- **Corrective Actions**: When validation fails, Guardrails can take corrective measures, such as retrying LLM prompts or fixing outputs.\n", + "- **Compatibility**: Works with different LLMs and can be used in various LangChain components like chains, agents, and retrieval strategies.\n", + "\n", + "## Prerequisites\n", + "\n", + "1. Ensure you have the following langchain packages installed. Also install Guardrails" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "382bd905", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install guardrails-ai langchain langchain_openai" + ] + }, + { + "cell_type": "markdown", + "id": "3594ef6c", + "metadata": {}, + "source": [ + "2. As a prerequisite we install the necessary validators from the Guardrails Hub:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "05635d8e", + "metadata": {}, + "outputs": [], + "source": [ + "! guardrails hub install hub://guardrails/competitor_check --quiet\n", + "! guardrails hub install hub://guardrails/toxic_language --quiet" + ] + }, + { + "cell_type": "markdown", + "id": "9ab6fdd9", + "metadata": {}, + "source": [ + "- `CompetitorCheck`: Identifies and optionally removes mentions of specified competitor names.\n", + "- `ToxicLanguage`: Detects and optionally removes toxic or inappropriate language from the output.\n" + ] + }, + { + "cell_type": "markdown", + "id": "325a69d3", + "metadata": {}, + "source": [ + "## Basic Integration\n", + "\n", + "Here's a basic example of how to integrate Guardrails with a LangChain LCEL chain:\n", + "\n", + "1. Import the required imports and do the OpenAI Model Initialization" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ae149cdb", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/calebcourier/Projects/support/langchain/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from langchain_openai import ChatOpenAI\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain_core.prompts import ChatPromptTemplate\n", + "\n", + "model = ChatOpenAI(model=\"gpt-4\")" + ] + }, + { + "cell_type": "markdown", + "id": "7701d9e4", + "metadata": {}, + "source": [ + "2. Create a Guard object with two validators: CompetitorCheck and ToxicLanguage." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "67f810db", + "metadata": {}, + "outputs": [], + "source": [ + "from guardrails import Guard\n", + "from guardrails.hub import CompetitorCheck, ToxicLanguage\n", + "\n", + "competitors_list = [\"delta\", \"american airlines\", \"united\"]\n", + "guard = Guard().use_many(\n", + " CompetitorCheck(competitors=competitors_list, on_fail=\"fix\"),\n", + " ToxicLanguage(on_fail=\"filter\"),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "aff173e9", + "metadata": {}, + "source": [ + "3. Define the LCEL chain components and pipe the prompt, model, output parser, and the Guard together.\n", + "The `guard.to_runnable()` method converts the Guardrails guard into a LangChain-compatible runnable object." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7d6c4dc1", + "metadata": {}, + "outputs": [], + "source": [ + "prompt = ChatPromptTemplate.from_template(\"Answer this question {question}\")\n", + "output_parser = StrOutputParser()\n", + "\n", + "chain = prompt | model | guard.to_runnable() | output_parser" + ] + }, + { + "cell_type": "markdown", + "id": "f293a6f7", + "metadata": {}, + "source": [ + "4. Invoke the chain" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7c037923", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/calebcourier/Projects/support/langchain/.venv/lib/python3.12/site-packages/guardrails/validator_service/__init__.py:84: UserWarning: Could not obtain an event loop. Falling back to synchronous validation.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1. Southwest Airlines\n", + "2. Delta Air Lines\n", + "3. American Airlines\n", + "4. United Airlines\n", + "5. JetBlue Airways\n" + ] + } + ], + "source": [ + "result = chain.invoke({\"question\": \"What are the top five airlines for domestic travel in the US?\"})\n", + "print(result)" + ] + }, + { + "cell_type": "markdown", + "id": "2cd4c67b", + "metadata": {}, + "source": [ + "Example output:\n", + " ```\n", + " 1. Southwest Airlines\n", + " 3. JetBlue Airways\n", + " ```\n", + "\n", + "In this example, the chain sends the question to the model and then applies Guardrails validators to the response. The CompetitorCheck validator specifically removes mentions of the specified competitors (Delta, American Airlines, United), resulting in a filtered list of non-competitor airlines." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/dist/examples/langchain_integration.md b/docs/dist/examples/langchain_integration.md new file mode 100644 index 000000000..df2ca7686 --- /dev/null +++ b/docs/dist/examples/langchain_integration.md @@ -0,0 +1,118 @@ +import CodeOutputBlock from '../../code-output-block.jsx'; + +# LangChain + +## Overview + +This is a comprehensive guide on integrating Guardrails with [LangChain](https://github.com/langchain-ai/langchain), a framework for developing applications powered by large language models. By combining the validation capabilities of Guardrails with the flexible architecture of LangChain, you can create reliable and robust AI applications. + +### Key Features + +- **Easy Integration**: Guardrails can be seamlessly added to LangChain's LCEL syntax, allowing for quick implementation of validation checks. +- **Flexible Validation**: Guardrails provides various validators that can be used to enforce structural, type, and quality constraints on LLM outputs. +- **Corrective Actions**: When validation fails, Guardrails can take corrective measures, such as retrying LLM prompts or fixing outputs. +- **Compatibility**: Works with different LLMs and can be used in various LangChain components like chains, agents, and retrieval strategies. + +## Prerequisites + +1. Ensure you have the following langchain packages installed. Also install Guardrails + + + + +```bash +pip install guardrails-ai langchain langchain_openai +``` + +2. As a prerequisite we install the necessary validators from the Guardrails Hub: + + +```bash +guardrails hub install hub://guardrails/competitor_check --quiet + guardrails hub install hub://guardrails/toxic_language --quiet +``` + +- `CompetitorCheck`: Identifies and optionally removes mentions of specified competitor names. +- `ToxicLanguage`: Detects and optionally removes toxic or inappropriate language from the output. + + +## Basic Integration + +Here's a basic example of how to integrate Guardrails with a LangChain LCEL chain: + +1. Import the required imports and do the OpenAI Model Initialization + + +```python +from langchain_openai import ChatOpenAI +from langchain_core.output_parsers import StrOutputParser +from langchain_core.prompts import ChatPromptTemplate + +model = ChatOpenAI(model="gpt-4") +``` + + + +``` + /Users/calebcourier/Projects/support/langchain/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html + from .autonotebook import tqdm as notebook_tqdm +``` + + + +2. Create a Guard object with two validators: CompetitorCheck and ToxicLanguage. + + +```python +from guardrails import Guard +from guardrails.hub import CompetitorCheck, ToxicLanguage + +competitors_list = ["delta", "american airlines", "united"] +guard = Guard().use_many( + CompetitorCheck(competitors=competitors_list, on_fail="fix"), + ToxicLanguage(on_fail="filter"), +) +``` + +3. Define the LCEL chain components and pipe the prompt, model, output parser, and the Guard together. +The `guard.to_runnable()` method converts the Guardrails guard into a LangChain-compatible runnable object. + + +```python +prompt = ChatPromptTemplate.from_template("Answer this question {question}") +output_parser = StrOutputParser() + +chain = prompt | model | guard.to_runnable() | output_parser +``` + +4. Invoke the chain + + +```python +result = chain.invoke({"question": "What are the top five airlines for domestic travel in the US?"}) +print(result) +``` + + + +``` + /Users/calebcourier/Projects/support/langchain/.venv/lib/python3.12/site-packages/guardrails/validator_service/__init__.py:84: UserWarning: Could not obtain an event loop. Falling back to synchronous validation. + warnings.warn( + + + 1. Southwest Airlines + 2. Delta Air Lines + 3. American Airlines + 4. United Airlines + 5. JetBlue Airways +``` + + + +Example output: + ``` + 1. Southwest Airlines + 3. JetBlue Airways + ``` + +In this example, the chain sends the question to the model and then applies Guardrails validators to the response. The CompetitorCheck validator specifically removes mentions of the specified competitors (Delta, American Airlines, United), resulting in a filtered list of non-competitor airlines. diff --git a/docs/examples-toc.json b/docs/examples-toc.json index 7a1e4864b..36459807f 100644 --- a/docs/examples-toc.json +++ b/docs/examples-toc.json @@ -282,6 +282,11 @@ "id": "examples/json_function_calling_tools", "label": "Json Function Calling Tools" }, + { + "type": "doc", + "id": "examples/langchain_integration", + "label": "Langchain Integration" + }, { "type": "doc", "id": "examples/lite_llm_defaults", diff --git a/docs/src/examples/langchain_integration.ipynb b/docs/src/examples/langchain_integration.ipynb new file mode 100644 index 000000000..d8022cdce --- /dev/null +++ b/docs/src/examples/langchain_integration.ipynb @@ -0,0 +1,223 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0f4d10ab", + "metadata": {}, + "source": [ + "# LangChain\n", + "\n", + "## Overview\n", + "\n", + "This is a comprehensive guide on integrating Guardrails with [LangChain](https://github.com/langchain-ai/langchain), a framework for developing applications powered by large language models. By combining the validation capabilities of Guardrails with the flexible architecture of LangChain, you can create reliable and robust AI applications.\n", + "\n", + "### Key Features\n", + "\n", + "- **Easy Integration**: Guardrails can be seamlessly added to LangChain's LCEL syntax, allowing for quick implementation of validation checks.\n", + "- **Flexible Validation**: Guardrails provides various validators that can be used to enforce structural, type, and quality constraints on LLM outputs.\n", + "- **Corrective Actions**: When validation fails, Guardrails can take corrective measures, such as retrying LLM prompts or fixing outputs.\n", + "- **Compatibility**: Works with different LLMs and can be used in various LangChain components like chains, agents, and retrieval strategies.\n", + "\n", + "## Prerequisites\n", + "\n", + "1. Ensure you have the following langchain packages installed. Also install Guardrails" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "382bd905", + "metadata": {}, + "outputs": [], + "source": [ + "! pip install guardrails-ai langchain langchain_openai" + ] + }, + { + "cell_type": "markdown", + "id": "3594ef6c", + "metadata": {}, + "source": [ + "2. As a prerequisite we install the necessary validators from the Guardrails Hub:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "05635d8e", + "metadata": {}, + "outputs": [], + "source": [ + "! guardrails hub install hub://guardrails/competitor_check --quiet\n", + "! guardrails hub install hub://guardrails/toxic_language --quiet" + ] + }, + { + "cell_type": "markdown", + "id": "9ab6fdd9", + "metadata": {}, + "source": [ + "- `CompetitorCheck`: Identifies and optionally removes mentions of specified competitor names.\n", + "- `ToxicLanguage`: Detects and optionally removes toxic or inappropriate language from the output.\n" + ] + }, + { + "cell_type": "markdown", + "id": "325a69d3", + "metadata": {}, + "source": [ + "## Basic Integration\n", + "\n", + "Here's a basic example of how to integrate Guardrails with a LangChain LCEL chain:\n", + "\n", + "1. Import the required imports and do the OpenAI Model Initialization" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "ae149cdb", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/calebcourier/Projects/support/langchain/.venv/lib/python3.12/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "from langchain_openai import ChatOpenAI\n", + "from langchain_core.output_parsers import StrOutputParser\n", + "from langchain_core.prompts import ChatPromptTemplate\n", + "\n", + "model = ChatOpenAI(model=\"gpt-4\")" + ] + }, + { + "cell_type": "markdown", + "id": "7701d9e4", + "metadata": {}, + "source": [ + "2. Create a Guard object with two validators: CompetitorCheck and ToxicLanguage." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "67f810db", + "metadata": {}, + "outputs": [], + "source": [ + "from guardrails import Guard\n", + "from guardrails.hub import CompetitorCheck, ToxicLanguage\n", + "\n", + "competitors_list = [\"delta\", \"american airlines\", \"united\"]\n", + "guard = Guard().use_many(\n", + " CompetitorCheck(competitors=competitors_list, on_fail=\"fix\"),\n", + " ToxicLanguage(on_fail=\"filter\"),\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "aff173e9", + "metadata": {}, + "source": [ + "3. Define the LCEL chain components and pipe the prompt, model, output parser, and the Guard together.\n", + "The `guard.to_runnable()` method converts the Guardrails guard into a LangChain-compatible runnable object." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7d6c4dc1", + "metadata": {}, + "outputs": [], + "source": [ + "prompt = ChatPromptTemplate.from_template(\"Answer this question {question}\")\n", + "output_parser = StrOutputParser()\n", + "\n", + "chain = prompt | model | guard.to_runnable() | output_parser" + ] + }, + { + "cell_type": "markdown", + "id": "f293a6f7", + "metadata": {}, + "source": [ + "4. Invoke the chain" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7c037923", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/calebcourier/Projects/support/langchain/.venv/lib/python3.12/site-packages/guardrails/validator_service/__init__.py:84: UserWarning: Could not obtain an event loop. Falling back to synchronous validation.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1. Southwest Airlines\n", + "2. Delta Air Lines\n", + "3. American Airlines\n", + "4. United Airlines\n", + "5. JetBlue Airways\n" + ] + } + ], + "source": [ + "result = chain.invoke(\n", + " {\"question\": \"What are the top five airlines for domestic travel in the US?\"}\n", + ")\n", + "print(result)" + ] + }, + { + "cell_type": "markdown", + "id": "2cd4c67b", + "metadata": {}, + "source": [ + "Example output:\n", + " ```\n", + " 1. Southwest Airlines\n", + " 3. JetBlue Airways\n", + " ```\n", + "\n", + "In this example, the chain sends the question to the model and then applies Guardrails validators to the response. The CompetitorCheck validator specifically removes mentions of the specified competitors (Delta, American Airlines, United), resulting in a filtered list of non-competitor airlines." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/guardrails/integrations/langchain/base_runnable.py b/guardrails/integrations/langchain/base_runnable.py index f4218c8fa..0d5560d22 100644 --- a/guardrails/integrations/langchain/base_runnable.py +++ b/guardrails/integrations/langchain/base_runnable.py @@ -1,5 +1,5 @@ from copy import deepcopy -from typing import Dict, Optional, cast +from typing import Any, Dict, Optional, Union, cast import json from langchain_core.messages import BaseMessage from langchain_core.runnables import Runnable, RunnableConfig @@ -8,16 +8,16 @@ class BaseRunnable(Runnable): - name: str + name: Union[str, None] def invoke( - self, input: InputType, config: Optional[RunnableConfig] = None + self, + input: InputType, + config: Optional[RunnableConfig] = None, + **kwargs: Any, ) -> InputType: return self._call_with_config( - self._process_input, - input, - config, - run_type="parser", + self._process_input, input, config, run_type="parser", **kwargs ) def _process_input(self, input: InputType) -> InputType: diff --git a/poetry.lock b/poetry.lock index 4ee2d811e..da72f3d7d 100644 --- a/poetry.lock +++ b/poetry.lock @@ -175,19 +175,6 @@ typing_extensions = ">=4.0" dev = ["attribution (==1.7.1)", "black (==24.3.0)", "build (>=1.2)", "coverage[toml] (==7.6.10)", "flake8 (==7.0.0)", "flake8-bugbear (==24.12.12)", "flit (==3.10.1)", "mypy (==1.14.1)", "ufmt (==2.5.1)", "usort (==1.0.8.post1)"] docs = ["sphinx (==8.1.3)", "sphinx-mdinclude (==0.6.1)"] -[[package]] -name = "alabaster" -version = "0.7.16" -description = "A light, configurable Sphinx theme" -optional = true -python-versions = ">=3.9" -groups = ["main"] -markers = "python_version == \"3.9\" and extra == \"docs-build\"" -files = [ - 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Service API" -optional = true -python-versions = ">=3.6" -groups = ["main"] -markers = "extra == \"dev\" and platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and sys_platform == \"linux\" and python_version == \"3.9\"" -files = [ - {file = "SecretStorage-3.3.3-py3-none-any.whl", hash = "sha256:f356e6628222568e3af06f2eba8df495efa13b3b63081dafd4f7d9a7b7bc9f99"}, - {file = "SecretStorage-3.3.3.tar.gz", hash = "sha256:2403533ef369eca6d2ba81718576c5e0f564d5cca1b58f73a8b23e7d4eeebd77"}, -] - -[package.dependencies] -cryptography = ">=2.0" -jeepney = ">=0.6" - [[package]] name = "secretstorage" version = "3.4.0" @@ -10117,7 +9231,7 @@ description = "Python bindings to FreeDesktop.org Secret Service API" optional = true python-versions = ">=3.10" groups = ["main"] -markers = "platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and sys_platform == \"linux\" and extra == \"dev\" and python_version >= \"3.10\"" +markers = "platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and sys_platform == \"linux\" and extra == \"dev\"" files = [ {file = "secretstorage-3.4.0-py3-none-any.whl", hash = "sha256:0e3b6265c2c63509fb7415717607e4b2c9ab767b7f344a57473b779ca13bd02e"}, {file = "secretstorage-3.4.0.tar.gz", hash = "sha256:c46e216d6815aff8a8a18706a2fbfd8d53fcbb0dce99301881687a1b0289ef7c"}, @@ -10253,10 +9367,10 @@ win32 = ["pywin32 ; sys_platform == \"win32\""] name = "setuptools" version = "80.9.0" description = "Easily download, build, install, upgrade, and uninstall Python packages" -optional = false +optional = true python-versions = ">=3.9" groups = ["main"] -markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"huggingface\" or extra == \"docs-build\" or extra == \"llama\") or python_version == \"3.9\" or extra == \"docs-build\" or extra == \"llama\" or (extra == \"docs-build\" or extra == \"llama\" or extra == \"huggingface\") and python_version >= \"3.12\"" +markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and (extra == \"huggingface\" or extra == \"docs-build\" or extra == \"llama\") or extra == \"docs-build\" or extra == \"llama\" or python_version >= \"3.12\" and (extra == \"docs-build\" or extra == \"llama\" or extra == \"huggingface\")" files = [ {file = "setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922"}, {file = "setuptools-80.9.0.tar.gz", hash = "sha256:f36b47402ecde768dbfafc46e8e4207b4360c654f1f3bb84475f0a28628fb19c"}, @@ -10346,44 +9460,6 @@ files = [ {file = "soupsieve-2.8.tar.gz", hash = "sha256:e2dd4a40a628cb5f28f6d4b0db8800b8f581b65bb380b97de22ba5ca8d72572f"}, ] -[[package]] -name = "sphinx" -version = "7.4.7" -description = "Python documentation generator" -optional = true -python-versions = ">=3.9" -groups = ["main"] -markers = "python_version == \"3.9\" and extra == \"docs-build\"" -files = [ - {file = "sphinx-7.4.7-py3-none-any.whl", hash = "sha256:c2419e2135d11f1951cd994d6eb18a1835bd8fdd8429f9ca375dc1f3281bd239"}, - {file = "sphinx-7.4.7.tar.gz", hash = "sha256:242f92a7ea7e6c5b406fdc2615413890ba9f699114a9c09192d7dfead2ee9cfe"}, -] - -[package.dependencies] -alabaster = ">=0.7.14,<0.8.0" -babel = ">=2.13" -colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\""} -docutils = ">=0.20,<0.22" -imagesize = ">=1.3" -importlib-metadata = {version = ">=6.0", markers = "python_version < \"3.10\""} -Jinja2 = ">=3.1" -packaging = ">=23.0" -Pygments = ">=2.17" -requests = ">=2.30.0" -snowballstemmer = ">=2.2" -sphinxcontrib-applehelp = "*" -sphinxcontrib-devhelp = "*" -sphinxcontrib-htmlhelp = ">=2.0.0" -sphinxcontrib-jsmath = "*" -sphinxcontrib-qthelp = "*" -sphinxcontrib-serializinghtml = ">=1.1.9" -tomli = {version = ">=2", markers = "python_version < \"3.11\""} - -[package.extras] -docs = ["sphinxcontrib-websupport"] -lint = ["flake8 (>=6.0)", "importlib-metadata (>=6.0)", "mypy (==1.10.1)", "pytest (>=6.0)", "ruff (==0.5.2)", "sphinx-lint (>=0.9)", "tomli (>=2)", "types-docutils (==0.21.0.20240711)", "types-requests (>=2.30.0)"] -test = ["cython (>=3.0)", "defusedxml (>=0.7.1)", "pytest (>=8.0)", "setuptools (>=70.0)", "typing_extensions (>=4.9)"] - [[package]] name = "sphinx" version = "8.1.3" @@ -10729,7 +9805,7 @@ description = "SSE plugin for Starlette" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "python_version >= \"3.10\" and extra == \"databricks\"" +markers = "extra == \"databricks\"" files = [ {file = "sse_starlette-3.0.2-py3-none-any.whl", hash = "sha256:16b7cbfddbcd4eaca11f7b586f3b8a080f1afe952c15813455b162edea619e5a"}, {file = "sse_starlette-3.0.2.tar.gz", hash = "sha256:ccd60b5765ebb3584d0de2d7a6e4f745672581de4f5005ab31c3a25d10b52b3a"}, @@ -11019,7 +10095,7 @@ description = "A lil' TOML parser" optional = true python-versions = ">=3.8" groups = ["main"] -markers = "python_version == \"3.9\" and (extra == \"dev\" or extra == \"docs-build\" or extra == \"databricks\" or extra == \"docs\") or python_version >= \"3.10\" and extra == \"docs-build\" or python_version == \"3.10\" and (extra == \"docs-build\" or extra == \"dev\" or extra == \"databricks\" or extra == \"docs\")" +markers = "extra == \"docs-build\" or python_version == \"3.10\" and (extra == \"docs-build\" or extra == \"dev\" or extra == \"databricks\" or extra == \"docs\")" files = [ {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"}, {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"}, @@ -11365,7 +10441,7 @@ description = "A language and compiler for custom Deep Learning operations" optional = true python-versions = "<3.14,>=3.9" groups = ["main"] -markers = "platform_system == \"Linux\" and extra == \"huggingface\" and platform_machine == \"x86_64\" and python_version < \"3.14\"" +markers = "platform_machine == \"x86_64\" and extra == \"huggingface\" and platform_system == \"Linux\" and python_version < \"3.14\"" files = [ {file = "triton-3.4.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7ff2785de9bc02f500e085420273bb5cc9c9bb767584a4aa28d6e360cec70128"}, {file = "triton-3.4.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7b70f5e6a41e52e48cfc087436c8a28c17ff98db369447bcaff3b887a3ab4467"}, @@ -11376,7 +10452,6 @@ files = [ ] [package.dependencies] -importlib-metadata = {version = "*", markers = "python_version < \"3.10\""} setuptools = ">=40.8.0" [package.extras] @@ -11399,7 +10474,6 @@ files = [ [package.dependencies] id = "*" -importlib-metadata = {version = ">=3.6", markers = "python_version < \"3.10\""} keyring = {version = ">=21.2.0", markers = "platform_machine != \"ppc64le\" and platform_machine != \"s390x\""} packaging = ">=24.0" readme-renderer = ">=35.0" @@ -11541,24 +10615,6 @@ files = [ [package.extras] dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake8-commas", "flake8-comprehensions", "flake8-continuation", "flake8-datetimez", "flake8-docstrings", "flake8-import-order", "flake8-literal", "flake8-modern-annotations", "flake8-noqa", "flake8-pyproject", "flake8-requirements", "flake8-typechecking-import", "flake8-use-fstring", "mypy", "pep8-naming", "types-PyYAML"] -[[package]] -name = "urllib3" -version = "1.26.20" -description = "HTTP library with thread-safe connection pooling, file post, and more." -optional = false -python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7" -groups = ["main"] -markers = "python_version == \"3.9\"" -files = [ - {file = "urllib3-1.26.20-py2.py3-none-any.whl", hash = "sha256:0ed14ccfbf1c30a9072c7ca157e4319b70d65f623e91e7b32fadb2853431016e"}, - {file = "urllib3-1.26.20.tar.gz", hash = "sha256:40c2dc0c681e47eb8f90e7e27bf6ff7df2e677421fd46756da1161c39ca70d32"}, -] - -[package.extras] -brotli = ["brotli (==1.0.9) ; os_name != \"nt\" and python_version < \"3\" and platform_python_implementation == \"CPython\"", "brotli (>=1.0.9) ; python_version >= \"3\" and platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; (os_name != \"nt\" or python_version >= \"3\") and platform_python_implementation != \"CPython\"", "brotlipy (>=0.6.0) ; os_name == \"nt\" and python_version < \"3\""] -secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress ; python_version == \"2.7\"", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] -socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] - [[package]] name = "urllib3" version = "2.5.0" @@ -11566,7 +10622,6 @@ description = "HTTP library with thread-safe connection pooling, file post, and optional = false python-versions = ">=3.9" groups = ["main"] -markers = "python_version >= \"3.10\"" files = [ {file = "urllib3-2.5.0-py3-none-any.whl", hash = "sha256:e6b01673c0fa6a13e374b50871808eb3bf7046c4b125b216f6bf1cc604cff0dc"}, {file = "urllib3-2.5.0.tar.gz", hash = "sha256:3fc47733c7e419d4bc3f6b3dc2b4f890bb743906a30d56ba4a5bfa4bbff92760"}, @@ -11585,7 +10640,7 @@ description = "The lightning-fast ASGI server." optional = true python-versions = ">=3.9" groups = ["main"] -markers = "python_version == \"3.9\" and (extra == \"api\" or extra == \"databricks\") or extra == \"databricks\" or extra == \"api\"" +markers = "extra == \"databricks\" or extra == \"api\"" files = [ {file = "uvicorn-0.37.0-py3-none-any.whl", hash = "sha256:913b2b88672343739927ce381ff9e2ad62541f9f8289664fa1d1d3803fa2ce6c"}, {file = "uvicorn-0.37.0.tar.gz", hash = "sha256:4115c8add6d3fd536c8ee77f0e14a7fd2ebba939fed9b02583a97f80648f9e13"}, @@ -11682,7 +10737,7 @@ description = "Waitress WSGI server" optional = true python-versions = ">=3.9.0" groups = ["main"] -markers = "extra == \"databricks\" and platform_system == \"Windows\"" +markers = "platform_system == \"Windows\" and extra == \"databricks\"" files = [ {file = "waitress-3.0.2-py3-none-any.whl", hash = "sha256:c56d67fd6e87c2ee598b76abdd4e96cfad1f24cacdea5078d382b1f9d7b5ed2e"}, {file = "waitress-3.0.2.tar.gz", hash = "sha256:682aaaf2af0c44ada4abfb70ded36393f0e307f4ab9456a215ce0020baefc31f"}, @@ -12334,5 +11389,5 @@ vectordb = ["faiss-cpu", "numpy"] [metadata] lock-version = "2.1" -python-versions = "^3.9" -content-hash = "e6cc93c9a0a5eef056839af47993599d0acb82fff8e76e99fce0a83f53c31a3e" +python-versions = ">=3.10,<4.0" +content-hash = "ea742258389b9c62739cc557b4ffc38bda8fd19e65106389e2ba2e371e2f9c59" diff --git a/pyproject.toml b/pyproject.toml index fb551698c..efd805d95 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -12,7 +12,7 @@ license-files = [ homepage = "https://www.guardrailsai.com/" documentation = "https://www.guardrailsai.com/docs" readme = "README.md" -requires-python = ">=3.9,<4.0" +requires-python = ">=3.10,<4.0" dependencies = [ "lxml>=4.9.3,<7.0.0", @@ -28,7 +28,7 @@ dependencies = [ "tiktoken>=0.5.1,<1.0.0", "litellm>=1.37.14,<2.0.0", "pydash>=7.0.6,<9.0.0", - "langchain-core>=0.1,<0.4", + "langchain-core>=1.0.0,<2.0", "requests>=2.31.0,<3.0.0", "faker>=25.2.0,<38.0.0", "jsonref>=1.1.0,<2.0.0", @@ -48,19 +48,6 @@ dependencies = [ "semver>=3.0.2,<4.0.0" ] -[tool.poetry.dependencies] -# since we specify project.requires-python, this is only for annotations and to help poetry lock wrt botocore, urllib3, and guardrails-api-client -python = "^3.9" -# boto3 requires urllib3 1.x for python < 3.10 -urllib3 = [ - { version = ">=1.25.4,<1.27", markers = "python_version < '3.10'" }, - { version = ">=1.25.4,!=2.2.0,<3", markers = "python_version < '3.10'" }, -] -guardrails-api-client = [ - { version = ">=0.4.0a1,<0.5.0", markers = "python_version < '3.10'" }, - { version = ">=0.4.0,<0.5.0", markers = "python_version >= '3.10'" }, -] - [project.optional-dependencies] dev = [ "pytest>=7.4.3", diff --git a/tests/integration_tests/integrations/langchain/test_guard_runnable.py b/tests/integration_tests/integrations/langchain/test_guard_runnable.py index bb4167d37..0f0d48fa7 100644 --- a/tests/integration_tests/integrations/langchain/test_guard_runnable.py +++ b/tests/integration_tests/integrations/langchain/test_guard_runnable.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Any, Optional import io import sys @@ -41,7 +41,10 @@ def test_guard_as_runnable(guard_runnable: GuardRunnable, output: str, throws: b class MockModel(Runnable): def invoke( - self, input: LanguageModelInput, config: Optional[RunnableConfig] = None + self, + input: LanguageModelInput, + config: Optional[RunnableConfig] = None, + **kwargs: Any, ) -> BaseMessage: return AIMessage(content=output) diff --git a/tests/integration_tests/integrations/langchain/test_validator_runnable.py b/tests/integration_tests/integrations/langchain/test_validator_runnable.py index 42733cafb..410767c86 100644 --- a/tests/integration_tests/integrations/langchain/test_validator_runnable.py +++ b/tests/integration_tests/integrations/langchain/test_validator_runnable.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Any, Optional import io import sys @@ -30,7 +30,10 @@ def test_validator_runnable(output: str, throws: bool, expected_error: Optional[ class MockModel(Runnable): def invoke( - self, input: LanguageModelInput, config: Optional[RunnableConfig] = None + self, + input: LanguageModelInput, + config: Optional[RunnableConfig] = None, + **kwargs: Any, ) -> BaseMessage: return AIMessage(content=output) From 3c8ec21445253030813218248f496c1703c6057d Mon Sep 17 00:00:00 2001 From: Caleb Courier Date: Mon, 24 Nov 2025 13:36:34 -0600 Subject: [PATCH 2/4] update poetry lock --- poetry.lock | 369 +++++++++------------------------------------------- 1 file changed, 58 insertions(+), 311 deletions(-) diff --git a/poetry.lock b/poetry.lock index fd8f77d2b..1e0738982 100644 --- a/poetry.lock +++ b/poetry.lock @@ -277,7 +277,7 @@ description = "Disable App Nap on macOS >= 10.9" optional = true python-versions = ">=3.6" groups = ["main"] -markers = "(extra == \"docs\" or extra == \"docs-build\") and platform_system == \"Darwin\"" +markers = "platform_system == \"Darwin\" and (extra == \"docs-build\" or extra == \"docs\")" files = [ {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, @@ -388,7 +388,7 @@ description = "Annotate AST trees with source code positions" optional = true python-versions = ">=3.8" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == \"docs\"" files = [ {file = "asttokens-3.0.0-py3-none-any.whl", hash = "sha256:e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2"}, {file = "asttokens-3.0.0.tar.gz", hash = "sha256:0dcd8baa8d62b0c1d118b399b2ddba3c4aff271d0d7a9e0d4c1681c79035bbc7"}, @@ -454,7 +454,7 @@ description = "Internationalization utilities" optional = true python-versions = ">=3.8" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == \"docs\"" files = [ {file = "babel-2.17.0-py3-none-any.whl", hash = "sha256:4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2"}, {file = "babel-2.17.0.tar.gz", hash = "sha256:0c54cffb19f690cdcc52a3b50bcbf71e07a808d1c80d549f2459b9d2cf0afb9d"}, @@ -544,7 +544,7 @@ description = "Screen-scraping library" optional = true python-versions = ">=3.7.0" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\" or extra == \"llama\"" +markers = "extra == \"docs-build\" or extra == \"docs\" or extra == \"llama\"" files = [ {file = "beautifulsoup4-4.14.2-py3-none-any.whl", hash = "sha256:5ef6fa3a8cbece8488d66985560f97ed091e22bbc4e9c2338508a9d5de6d4515"}, {file = "beautifulsoup4-4.14.2.tar.gz", hash = "sha256:2a98ab9f944a11acee9cc848508ec28d9228abfd522ef0fad6a02a72e0ded69e"}, @@ -618,7 +618,7 @@ description = "An easy safelist-based HTML-sanitizing tool." optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == \"docs\"" files = [ {file = "bleach-6.2.0-py3-none-any.whl", hash = "sha256:117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e"}, {file = "bleach-6.2.0.tar.gz", hash = "sha256:123e894118b8a599fd80d3ec1a6d4cc7ce4e5882b1317a7e1ba69b56e95f991f"}, @@ -763,7 +763,7 @@ description = "Foreign Function Interface for Python calling C code." optional = true python-versions = ">=3.9" groups = ["main"] -markers = "platform_python_implementation != \"PyPy\" and platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and sys_platform == \"linux\" and (extra == \"dev\" or extra == \"docs\" or extra == \"docs-build\") or extra == \"docs\" or extra == \"docs-build\" or platform_python_implementation != \"PyPy\" and python_version >= \"3.10\" and (extra == \"databricks\" or extra == \"docs\" or extra == \"docs-build\") or platform_python_implementation != \"PyPy\" and python_version >= \"3.10\" and platform_machine != \"ppc64le\" and platform_machine != \"s390x\" and sys_platform == \"linux\" and (extra == \"dev\" or extra == \"databricks\" or extra == \"docs\" or extra == \"docs-build\")" +markers = "(platform_python_implementation != \"PyPy\" or extra == \"docs-build\" or extra == \"docs\") and (extra == \"dev\" or extra == \"databricks\" or extra == \"docs-build\" or extra == \"docs\") and (platform_machine != \"ppc64le\" and platform_machine != \"s390x\" or extra == \"databricks\" or extra == \"docs-build\" or extra == \"docs\") and (sys_platform == \"linux\" or extra == \"databricks\" or extra == \"docs-build\" or extra == \"docs\")" files = [ {file = 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applications." optional = true python-versions = "*" groups = ["main"] -markers = "(extra == \"docs\" or extra == \"docs-build\") and sys_platform != \"win32\" and (python_version == \"3.9\" or sys_platform != \"win32\" and sys_platform != \"emscripten\")" +markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\" and (extra == \"docs-build\" or extra == \"docs\")" files = [ {file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"}, {file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"}, @@ -7242,7 +6997,7 @@ description = "Python Imaging Library (Fork)" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"databricks\" or extra == \"docs\" or extra == \"llama\"" +markers = "extra == \"databricks\" or extra == \"llama\" or extra == \"docs\"" files = [ {file = "pillow-11.3.0-cp310-cp310-macosx_10_10_x86_64.whl", hash 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["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == \"docs\"" files = [ {file = "prompt_toolkit-3.0.52-py3-none-any.whl", hash = "sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955"}, {file = "prompt_toolkit-3.0.52.tar.gz", hash = "sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855"}, @@ -7594,7 +7349,7 @@ description = "Cross-platform lib for process and system monitoring." optional = true python-versions = ">=3.6" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == \"docs\"" files = [ {file = "psutil-7.1.0-cp36-abi3-macosx_10_9_x86_64.whl", hash = "sha256:76168cef4397494250e9f4e73eb3752b146de1dd950040b29186d0cce1d5ca13"}, {file = "psutil-7.1.0-cp36-abi3-macosx_11_0_arm64.whl", hash = "sha256:5d007560c8c372efdff9e4579c2846d71de737e4605f611437255e81efcca2c5"}, @@ -7667,7 +7422,6 @@ files = [ {file = 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bindings for 0MQ" optional = true python-versions = ">=3.8" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == \"docs\"" files = [ {file = "pyzmq-27.1.0-cp310-cp310-macosx_10_15_universal2.whl", hash = "sha256:508e23ec9bc44c0005c4946ea013d9317ae00ac67778bd47519fdf5a0e930ff4"}, {file = "pyzmq-27.1.0-cp310-cp310-manylinux2014_i686.manylinux_2_17_i686.whl", hash = "sha256:507b6f430bdcf0ee48c0d30e734ea89ce5567fd7b8a0f0044a369c176aa44556"}, @@ -9581,7 +9328,7 @@ description = "A modern CSS selector implementation for Beautiful Soup." optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\" or extra == \"llama\"" +markers = "extra == \"docs-build\" or extra == \"docs\" or extra == \"llama\"" files = [ {file = "soupsieve-2.8-py3-none-any.whl", hash = "sha256:0cc76456a30e20f5d7f2e14a98a4ae2ee4e5abdc7c5ea0aafe795f344bc7984c"}, {file = "soupsieve-2.8.tar.gz", hash = "sha256:e2dd4a40a628cb5f28f6d4b0db8800b8f581b65bb380b97de22ba5ca8d72572f"}, @@ -9774,7 +9521,7 @@ description = "Database Abstraction Library" optional = true python-versions = ">=3.7" groups = ["main"] -markers = "extra == \"api\" or extra == \"databricks\" or extra == \"llama\" or extra == \"sql\"" +markers = "extra == \"sql\" or extra == \"api\" or extra == \"databricks\" or extra == \"llama\"" files = [ {file = "SQLAlchemy-2.0.43-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:21ba7a08a4253c5825d1db389d4299f64a100ef9800e4624c8bf70d8f136e6ed"}, {file = "SQLAlchemy-2.0.43-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:11b9503fa6f8721bef9b8567730f664c5a5153d25e247aadc69247c4bc605227"}, @@ -9932,7 +9679,7 @@ description = "Extract data from python stack frames and tracebacks for informat optional = true python-versions = "*" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == 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\"docs-build\") or python_version >= \"3.10\" and extra == \"docs-build\" or python_version == \"3.10\" and (extra == \"docs-build\" or extra == \"databricks\" or extra == \"dev\" or extra == \"docs\")" +markers = "extra == \"docs-build\" or python_version == \"3.10\" and (extra == \"docs-build\" or extra == \"dev\" or extra == \"databricks\" or extra == \"docs\")" files = [ {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"}, {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"}, @@ -10383,7 +10130,7 @@ description = "Tornado is a Python web framework and asynchronous networking lib optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == \"docs\"" files = [ {file = "tornado-6.5.2-cp39-abi3-macosx_10_9_universal2.whl", hash = "sha256:2436822940d37cde62771cff8774f4f00b3c8024fe482e16ca8387b8a2724db6"}, {file = "tornado-6.5.2-cp39-abi3-macosx_10_9_x86_64.whl", hash = "sha256:583a52c7aa94ee046854ba81d9ebb6c81ec0fd30386d96f7640c96dad45a03ef"}, @@ -10428,7 +10175,7 @@ description = "Traitlets Python configuration system" optional = true python-versions = ">=3.8" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == \"docs\"" files = [ {file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"}, {file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"}, @@ -10859,7 +10606,7 @@ description = "Filesystem events monitoring" optional = true python-versions = ">=3.9" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == \"docs\"" files = [ {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:d1cdb490583ebd691c012b3d6dae011000fe42edb7a82ece80965b42abd61f26"}, {file = "watchdog-6.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bc64ab3bdb6a04d69d4023b29422170b74681784ffb9463ed4870cf2f3e66112"}, @@ -10903,7 +10650,7 @@ description = "Measures the displayed width of unicode strings in a terminal" optional = true python-versions = ">=3.6" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == \"docs\"" files = [ {file = "wcwidth-0.2.14-py2.py3-none-any.whl", hash = "sha256:a7bb560c8aee30f9957e5f9895805edd20602f2d7f720186dfd906e82b4982e1"}, {file = "wcwidth-0.2.14.tar.gz", hash = "sha256:4d478375d31bc5395a3c55c40ccdf3354688364cd61c4f6adacaa9215d0b3605"}, @@ -10928,7 +10675,7 @@ description = "Character encoding aliases for legacy web content" optional = true python-versions = "*" groups = ["main"] -markers = "extra == \"docs\" or extra == \"docs-build\"" +markers = "extra == \"docs-build\" or extra == \"docs\"" files = [ {file = "webencodings-0.5.1-py2.py3-none-any.whl", hash = "sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78"}, {file = "webencodings-0.5.1.tar.gz", hash = "sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923"}, @@ -10991,7 +10738,7 @@ description = "Module for decorators, wrappers and monkey patching." optional = true python-versions = ">=3.8" groups = ["main"] -markers = "extra == \"api\" or extra == \"docs-build\" or extra == \"llama\"" +markers = "extra == \"docs-build\" or extra == \"llama\" or extra == \"api\"" files = [ {file = "wrapt-1.17.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:88bbae4d40d5a46142e70d58bf664a89b6b4befaea7b2ecc14e03cedb8e06c04"}, {file = "wrapt-1.17.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e6b13af258d6a9ad602d57d889f83b9d5543acd471eee12eb51f5b01f8eb1bc2"}, From be18ac13dc9cb6b9a23d8cd1d6716a228eb5c94c Mon Sep 17 00:00:00 2001 From: Caleb Courier Date: Mon, 24 Nov 2025 13:39:54 -0600 Subject: [PATCH 3/4] remove 3.9 from ci and docs --- .github/workflows/ci.yml | 8 ++++---- .github/workflows/cli-compatibility.yml | 4 +--- docs/dist/examples/langchain_integration.ipynb | 6 ++++-- docs/dist/examples/langchain_integration.md | 4 +++- docs/dist/getting_started/quickstart.md | 2 +- docs/src/getting_started/quickstart.md | 2 +- 6 files changed, 14 insertions(+), 12 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 34b81d5e2..7b9466ad1 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -20,7 +20,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"] + python-version: ["3.10", "3.11", "3.12", "3.13"] steps: - uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python-version }} @@ -48,7 +48,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"] + python-version: ["3.10", "3.11", "3.12", "3.13"] steps: - uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python-version }} @@ -75,7 +75,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"] + python-version: ["3.10", "3.11", "3.12", "3.13"] steps: - uses: actions/checkout@v4 - name: Set up Python ${{ matrix.python-version }} @@ -102,7 +102,7 @@ jobs: runs-on: LargeBois strategy: matrix: - python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"] + python-version: ["3.10", "3.11", "3.12", "3.13"] # TODO: fix errors so that we can run both `make dev` and `make full` # dependencies: ['dev', 'full'] # dependencies: ["full"] diff --git a/.github/workflows/cli-compatibility.yml b/.github/workflows/cli-compatibility.yml index f333fac55..521f96a07 100644 --- a/.github/workflows/cli-compatibility.yml +++ b/.github/workflows/cli-compatibility.yml @@ -10,12 +10,10 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"] + python-version: []"3.10", "3.11", "3.12", "3.13"] typer-version: ["0.16.0", "0.17.0", "0.18.0", "0.19.2"] click-version: ["8.1.0", "8.2.0"] exclude: - - python-version: "3.9" - click-version: "8.2.0" - typer-version: "0.16.0" click-version: "8.2.0" - typer-version: "0.16.0" diff --git a/docs/dist/examples/langchain_integration.ipynb b/docs/dist/examples/langchain_integration.ipynb index c2a7e59da..be410a751 100644 --- a/docs/dist/examples/langchain_integration.ipynb +++ b/docs/dist/examples/langchain_integration.ipynb @@ -178,7 +178,9 @@ } ], "source": [ - "result = chain.invoke({\"question\": \"What are the top five airlines for domestic travel in the US?\"})\n", + "result = chain.invoke(\n", + " {\"question\": \"What are the top five airlines for domestic travel in the US?\"}\n", + ")\n", "print(result)" ] }, @@ -213,7 +215,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.12.11" + "version": "3.10.16" } }, "nbformat": 4, diff --git a/docs/dist/examples/langchain_integration.md b/docs/dist/examples/langchain_integration.md index df2ca7686..674444358 100644 --- a/docs/dist/examples/langchain_integration.md +++ b/docs/dist/examples/langchain_integration.md @@ -89,7 +89,9 @@ chain = prompt | model | guard.to_runnable() | output_parser ```python -result = chain.invoke({"question": "What are the top five airlines for domestic travel in the US?"}) +result = chain.invoke( + {"question": "What are the top five airlines for domestic travel in the US?"} +) print(result) ``` diff --git a/docs/dist/getting_started/quickstart.md b/docs/dist/getting_started/quickstart.md index 742846663..775d63f31 100644 --- a/docs/dist/getting_started/quickstart.md +++ b/docs/dist/getting_started/quickstart.md @@ -148,7 +148,7 @@ This prints: ### Install the Javascript library -**Note**: The Javascript library works via an I/O bridge to run the underlying Python library. You must have Python 3.9 or greater installed on your system to use the Javascript library. +**Note**: The Javascript library works via an I/O bridge to run the underlying Python library. You must have Python 3.10 or greater installed on your system to use the Javascript library. ```bash diff --git a/docs/src/getting_started/quickstart.md b/docs/src/getting_started/quickstart.md index 742846663..775d63f31 100644 --- a/docs/src/getting_started/quickstart.md +++ b/docs/src/getting_started/quickstart.md @@ -148,7 +148,7 @@ This prints: ### Install the Javascript library -**Note**: The Javascript library works via an I/O bridge to run the underlying Python library. You must have Python 3.9 or greater installed on your system to use the Javascript library. +**Note**: The Javascript library works via an I/O bridge to run the underlying Python library. You must have Python 3.10 or greater installed on your system to use the Javascript library. ```bash From b6c253e5d52ee222d4de5b09d1c02d9b3dcb35a8 Mon Sep 17 00:00:00 2001 From: Caleb Courier Date: Mon, 24 Nov 2025 13:45:28 -0600 Subject: [PATCH 4/4] fix autocomplete issue --- .github/workflows/cli-compatibility.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/cli-compatibility.yml b/.github/workflows/cli-compatibility.yml index 521f96a07..52830cca1 100644 --- a/.github/workflows/cli-compatibility.yml +++ b/.github/workflows/cli-compatibility.yml @@ -10,7 +10,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python-version: []"3.10", "3.11", "3.12", "3.13"] + python-version: ["3.10", "3.11", "3.12", "3.13"] typer-version: ["0.16.0", "0.17.0", "0.18.0", "0.19.2"] click-version: ["8.1.0", "8.2.0"] exclude: