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‎Makefile‎

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broken-links: build
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@echo "Checking for broken links..."
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@command -v mint >/dev/null 2>&1 || { echo "Error: mint is not installed. Run 'npm install -g mint@4.2.126'"; exit 1; }
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@cd build && output=$$(mint broken-links) && echo "$$output" && echo "$$output" | grep -q "found [1-9][0-9]\|[1-9][0-9][0-9] broken links in" && { echo "❌ More than 10 broken links detected!"; exit 1; } || echo "✅ Broken links check passed (≤10 broken links)"
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@cd build && output=$$(mint broken-links) && echo "$$output" && count=$$(echo "$$output" | sed -n 's/.*found \([0-9][0-9]*\) broken links.*/\1/p'); if [ -n "$$count" ] && [ "$$count" -gt 5 ]; then echo "❌ More than 5 broken links detected!"; exit 1; else echo "✅ Broken links check passed (≤5 broken links)"; fi
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check-pnpm:
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@command -v pnpm >/dev/null 2>&1 || { echo >&2 "pnpm is not installed. Please install pnpm to proceed (https://pnpm.io/installation)"; exit 1; }

‎src/langsmith/application-structure.mdx‎

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sidebarTitle: Application structure
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---
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import FrameworkAgnostic from '/snippets/langsmith/framework-agnostic.mdx';
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import FrameworkAgnosticPy from '/snippets/langsmith/framework-agnostic-py.mdx';
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import FrameworkAgnosticJS from '/snippets/langsmith/framework-agnostic-js.mdx';
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To deploy on LangSmith, an application must consist of one or more graphs, a configuration file (`langgraph.json`), a file that specifies dependencies, and an optional `.env` file that specifies environment variables.
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<Tip>
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**Framework agnostic**
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<FrameworkAgnostic/>
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:::python
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<FrameworkAgnosticPy/>
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:::
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:::js
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<FrameworkAgnosticJS/>
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</Tip>
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## File Structure

‎src/langsmith/setup-app-requirements-txt.mdx‎

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sidebarTitle: With requirements.txt
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---
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import FrameworkAgnostic from '/snippets/langsmith/framework-agnostic.mdx';
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import FrameworkAgnosticPy from '/snippets/langsmith/framework-agnostic-py.mdx';
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import FrameworkAgnosticJS from '/snippets/langsmith/framework-agnostic-js.mdx';
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An application must be configured with a [configuration file](/langsmith/cli#configuration-file) in order to be deployed to LangSmith (or to be self-hosted). This how-to guide discusses the basic steps to set up an application for deployment using `requirements.txt` to specify project dependencies.
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```
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<Tip>
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</Tip>
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You can also set up with:

‎src/langsmith/setup-javascript.mdx‎

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sidebarTitle: Set up a JavaScript application
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---
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import FrameworkAgnostic from '/snippets/langsmith/framework-agnostic.mdx';
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import FrameworkAgnosticPy from '/snippets/langsmith/framework-agnostic-py.mdx';
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import FrameworkAgnosticJS from '/snippets/langsmith/framework-agnostic-js.mdx';
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An application must be configured with a [configuration file](/langsmith/cli#configuration-file) in order to be deployed to LangSmith (or to be self-hosted). This how-to guide discusses the basic steps to set up a JavaScript application for deployment using `package.json` to specify project dependencies.
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```
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</Tip>
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After each step, an example file directory is provided to demonstrate how code can be organized.

‎src/langsmith/setup-pyproject.mdx‎

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sidebarTitle: With pyproject.toml
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import FrameworkAgnostic from '/snippets/langsmith/framework-agnostic.mdx';
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import FrameworkAgnosticPy from '/snippets/langsmith/framework-agnostic-py.mdx';
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import FrameworkAgnosticJS from '/snippets/langsmith/framework-agnostic-js.mdx';
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An application must be configured with a [configuration file](/langsmith/cli#configuration-file) in order to be deployed to LangSmith (or to be self-hosted). This how-to guide discusses the basic steps to set up an application for deployment using `pyproject.toml` to define your package's dependencies.
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└── pyproject.toml # dependencies for your project
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```
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<Tip>
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<FrameworkAgnosticPy/>
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</Tip>
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You can also set up with:

‎src/oss/concepts/context.mdx‎

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sidebarTitle: Context
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<AlphaCallout />
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**Context engineering** is the practice of building dynamic systems that provide the right information and tools, in the right format, so that an AI application can accomplish a task. Context can be characterized along two key dimensions:
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‎src/oss/concepts/memory.mdx‎

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[Memory](/oss/langgraph/add-memory) is a system that remembers information about previous interactions. For AI agents, memory is crucial because it lets them remember previous interactions, learn from feedback, and adapt to user preferences. As agents tackle more complex tasks with numerous user interactions, this capability becomes essential for both efficiency and user satisfaction.
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‎src/oss/javascript/releases/langchain-v1.mdx‎

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sidebarTitle: Release notes
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**LangChain v1 is a focused, production-ready foundation for building agents.** We've streamlined the framework around three core improvements:
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For a complete list of changes, see the [migration guide](/oss/langchain/middleware#built-in-middleware/migrate/langchain-v1).
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For a complete list of changes, see the [migration guide](/oss/migrate/langchain-v1).
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## `createAgent`
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‎src/oss/langchain/agents.mdx‎

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Agents combine language models with tools to create systems that can reason about tasks, decide which tools to use, and iteratively work towards solutions.
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‎src/oss/langchain/context-engineering.mdx‎

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The hard part of building agents (or any LLM application) is making them reliable enough.
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While they may work for a prototype, they often mess up in more real world and widespread use cases.

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