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docs: add langchain-integration-health tool documentation
Add comprehensive integration testing and monitoring framework for LangChain. - Follow official LangChain tools template format exactly - Include proper sidebar metadata and structure - Provide CLI and programmatic usage examples - Add integration details table with package info - Apply proper formatting and cell IDs
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‎docs/docs/integrations/tools/langchain_integration_health.ipynb‎

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{
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"cells": [
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{
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"cell_type": "raw",
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"id": "sidebar-label",
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"metadata": {},
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"source": [
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"---\n",
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"sidebar_label: LangChain Integration Health\n",
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"id": "main-header",
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"metadata": {},
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"source": [
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"# LangChain Integration Health\n",
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"\n",
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"This notebook provides a quick overview for getting started with LangChain Integration Health [tool](/docs/integrations/tools/). For detailed documentation of all features and configurations head to the [GitHub repository](https://github.com/sadiqkhzn/langchain-integration-health).\n",
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"\n",
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"## Overview\n",
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"\n",
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"### Integration details\n",
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"\n",
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"| Class | Package | Serializable | JS support | Package latest |\n",
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"| :--- | :--- | :---: | :---: | :---: |\n",
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"| LangChainIntegrationHealth | [langchain-integration-health](https://pypi.org/project/langchain-integration-health/) | ❌ | ❌ | ![PyPI - Version](https://img.shields.io/pypi/v/langchain-integration-health?style=flat-square&label=%20) |\n",
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"\n",
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"### Tool features\n",
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"\n",
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"- Integration compatibility testing framework\n",
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"- Real-time dashboard for monitoring LangChain integrations\n",
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"- CLI tools for automated testing and reporting\n",
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"- MLXPipeline bind_tools fix examples"
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]
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},
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{
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"cell_type": "markdown",
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"id": "setup-header",
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"metadata": {},
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"source": [
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"## Setup\n",
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"\n",
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"The integration lives in the `langchain-integration-health` package."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "install-package",
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install --quiet -U langchain-integration-health"
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]
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},
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{
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"cell_type": "markdown",
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"id": "credentials-header",
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"metadata": {},
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"source": [
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"### Credentials\n",
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"\n",
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"Optional: Set API keys for real integration testing (not required for demo mode):"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "credentials-setup",
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"metadata": {},
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"outputs": [],
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"source": [
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"import getpass\n",
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"import os\n",
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"\n",
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"# Optional: API keys for real testing\n",
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"# if not os.environ.get(\"OPENAI_API_KEY\"):\n",
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"# os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API key:\\n\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "langsmith-setup",
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"metadata": {},
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"source": [
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"It's also helpful (but not needed) to set up [LangSmith](https://smith.langchain.com/) for best-in-class observability:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "langsmith-config",
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"metadata": {},
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"outputs": [],
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"source": [
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"# os.environ[\"LANGSMITH_TRACING\"] = \"true\"\n",
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"# os.environ[\"LANGSMITH_API_KEY\"] = getpass.getpass()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "instantiation-header",
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"metadata": {},
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"source": [
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"## Instantiation\n",
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"\n",
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"Here we show how to use the LangChain Integration Health CLI tools for testing LangChain integrations:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "cli-usage",
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"metadata": {},
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"outputs": [],
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"source": [
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"# CLI usage examples\n",
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"# !langchain-health discover # Discover available integrations\n",
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"# !langchain-health test # Run integration tests\n",
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"# !langchain-health dashboard # Launch the dashboard\n",
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"# !langchain-health report # Generate compatibility report\n",
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"\n",
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"print(\"LangChain Integration Health CLI available\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "invocation-header",
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"metadata": {},
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"source": [
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"## Invocation\n",
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"\n",
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"### Programmatic usage\n",
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"\n",
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"Test a specific integration programmatically:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "programmatic-usage",
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"metadata": {},
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"outputs": [],
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"source": [
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"import asyncio\n",
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"from langchain_integration_health.testers import LLMIntegrationTester\n",
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"from langchain_integration_health.utils.config import Config\n",
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"\n",
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"async def test_integration():\n",
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" config = Config.from_env()\n",
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" \n",
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" # Example: Test an integration\n",
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" # from langchain_openai import ChatOpenAI\n",
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" # tester = LLMIntegrationTester(ChatOpenAI, config.get_integration_config(\"ChatOpenAI\"))\n",
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" # result = await tester.run_all_tests()\n",
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" # print(f\"Compatibility Score: {result.compatibility_score}\")\n",
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" \n",
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" print(\"Integration testing framework ready\")\n",
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"\n",
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"# asyncio.run(test_integration())"
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]
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},
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{
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"cell_type": "markdown",
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"id": "dashboard-header",
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"metadata": {},
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"source": [
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"### Launch Dashboard\n",
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"\n",
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"Start the real-time monitoring dashboard:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "dashboard-launch",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Launch dashboard\n",
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"# !streamlit run -m langchain_integration_health.dashboard.app\n",
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"\n",
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"print(\"Dashboard available at http://localhost:8501\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "api-reference-header",
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"metadata": {},
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"source": [
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"## API reference\n",
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"\n",
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"For detailed documentation of all LangChain Integration Health features and configurations head to the GitHub repository: https://github.com/sadiqkhzn/langchain-integration-health"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.0"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎libs/packages.yml‎

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- name: langchain-scrapeless
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repo: scrapeless-ai/langchain-scrapeless
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path: .
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- name: langchain-integration-health
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name_title: Integration Health Framework
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path: .
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repo: sadiqkhzn/langchain-integration-health
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