Bumps [jupyterlab](https://github.com/jupyterlab/jupyterlab) from 4.5.9 to 4.5.10. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/jupyterlab/jupyterlab/releases">jupyterlab's releases</a>.</em></p> <blockquote> <h2>v4.5.10</h2> <h2>4.5.10</h2> <p>(<a href="https://github.com/jupyterlab/jupyterlab/compare/v4.5.9...be9303f5bcd5308eaeae953c5a3c903046682c2c">Full Changelog</a>)</p> <h3>Security patches</h3> <ul> <li>GHSA-gx64-gj6p-pc4c</li> <li>GHSA-89vp-jrxv-24w8</li> <li>GHSA-h5v5-8746-g7mm</li> <li>GHSA-pppj-hq3g-57pj</li> <li>GHSA-whvh-wf3x-g77j</li> </ul> <h3>Bugs fixed</h3> <ul> <li>Backport of security patches to <code>4.5.x</code> branch <a href="https://redirect.github.com/jupyterlab/jupyterlab/pull/19186">#19186</a> (<a href="https://github.com/krassowski"><code>@krassowski</code></a>, <a href="https://github.com/MUFFANUJ"><code>@MUFFANUJ</code></a>)</li> </ul> <h3>Maintenance and upkeep improvements</h3> <ul> <li>Reconfigure 4.5.x branch (4.6.x is new stable) <a href="https://redirect.github.com/jupyterlab/jupyterlab/pull/19060">#19060</a> (<a href="https://github.com/krassowski"><code>@krassowski</code></a>)</li> <li>Split external link checks and only run if diff includes a URL <a href="https://redirect.github.com/jupyterlab/jupyterlab/pull/19029">#19029</a> (<a href="https://github.com/MUFFANUJ"><code>@MUFFANUJ</code></a>)</li> </ul> <h3>Contributors to this release</h3> <p>The following people contributed discussions, new ideas, code and documentation contributions, and review. See <a href="https://github-activity.readthedocs.io/en/latest/use/#how-does-this-tool-define-contributions-in-the-reports">our definition of contributors</a>.</p> <p>(<a href="https://github.com/jupyterlab/jupyterlab/graphs/contributors?from=2026-06-17&to=2026-07-21&type=c">GitHub contributors page for this release</a>)</p> <p><a href="https://github.com/krassowski"><code>@krassowski</code></a> (<a href="https://github.com/search?q=repo%3Ajupyterlab%2Fjupyterlab+involves%3Akrassowski+updated%3A2026-06-17..2026-07-21&type=Issues">activity</a>) | <a href="https://github.com/MUFFANUJ"><code>@MUFFANUJ</code></a> (<a href="https://github.com/search?q=repo%3Ajupyterlab%2Fjupyterlab+involves%3AMUFFANUJ+updated%3A2026-06-17..2026-07-21&type=Issues">activity</a>)</p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/jupyterlab/jupyterlab/commit/af5f5b3c779f6d7170c1124f5818807fa18f3f63"><code>af5f5b3</code></a> [ci skip] Publish 4.5.10</li> <li><a href="https://github.com/jupyterlab/jupyterlab/commit/be9303f5bcd5308eaeae953c5a3c903046682c2c"><code>be9303f</code></a> Backport of security patches to <code>4.5.x</code> branch (<a href="https://redirect.github.com/jupyterlab/jupyterlab/issues/19186">#19186</a>)</li> <li><a href="https://github.com/jupyterlab/jupyterlab/commit/a555fe1dcb4a4d6b135236ae89319a9f303780d9"><code>a555fe1</code></a> Reconfigure 4.5.x branch (4.6.x is new stable) (<a href="https://redirect.github.com/jupyterlab/jupyterlab/issues/19060">#19060</a>)</li> <li><a href="https://github.com/jupyterlab/jupyterlab/commit/8d8cb6d4319d4e16e9187e16b8e7fbb617132938"><code>8d8cb6d</code></a> Backport PR <a href="https://redirect.github.com/jupyterlab/jupyterlab/issues/19029">#19029</a> on branch 4.5.x (Split external link checks and only run i...</li> <li>See full diff in <a href="https://github.com/jupyterlab/jupyterlab/compare/@jupyterlab/lsp@4.5.9...@jupyterlab/lsp@4.5.10">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/langchain-ai/langgraph/network/alerts). </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
🦜🕸️ LangGraph
Looking for the JS/TS version? Check out LangGraph.js.
To help you ship LangGraph apps to production faster, check out LangSmith. LangSmith is a unified developer platform for building, testing, and monitoring LLM applications.
Quick Install
uv add langgraph
🤔 What is this?
LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. LangGraph provides the infrastructure for durable execution, streaming, human-in-the-loop, persistence, memory, and more.
We recommend you use LangGraph when you have advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency. Use LangChain when you want to quickly build agents and applications powered by LLMs using pre-built agent architectures and model integrations.
LangChain agents are built on top of LangGraph in order to provide durable execution, streaming, human-in-the-loop, persistence, and more. (You do not need to know LangGraph for basic LangChain agent usage.)
Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is used to ship AI applications at scale.
📖 Documentation
For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using LangGraph, see the LangGraph Docs. Get started with the LangGraph Quickstart.
📕 Releases & Versioning
See our Releases and Versioning policies.
💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the Contributing Guide.
Acknowledgements
LangGraph is inspired by Pregel and Apache Beam. The public interface draws inspiration from NetworkX. LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.