32556a0611
Bumps [idna](https://github.com/kjd/idna) from 3.11 to 3.15. <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/kjd/idna/blob/master/HISTORY.md">idna's changelog</a>.</em></p> <blockquote> <h2>3.15 (2026-05-12)</h2> <ul> <li>Enforce DNS-length cap on individual labels early in <code>check_label</code>, short-circuiting contextual-rule processing for oversized input while staying compatible with UTS 46 usage.</li> <li>Tidy core helpers: hoist bidi category sets to module-level frozensets (avoiding per-codepoint list construction), simplify length checks, and reuse the shared <code>_unicode_dots_re</code> from <code>idna.core</code> in the codec module.</li> <li>Use <code>raise ... from err</code> for proper exception chaining and switch internal string formatting to f-strings.</li> <li>Allow <code>flit_core</code> 4.x in the build backend.</li> <li>Expand the ruff lint set (flake8-bugbear, flake8-simplify, pyupgrade, perflint) and apply the surfaced fixes; pin lint CI to Python 3.14.</li> <li>Add Dependabot configuration for GitHub Actions.</li> <li>Convert README and HISTORY from reStructuredText to Markdown.</li> <li>Reference CVE-2026-45409 for the 3.14 advisory in place of the initial GHSA identifier.</li> </ul> <p>Thanks to Felix Yan, Stan Ulbrych, and metsw24-max for contributions to this release.</p> <h2>3.14 (2026-05-10)</h2> <ul> <li>Removed opportunity to process long inputs into quadratic time by rejecting oversize inputs up-front. Closes a bypass of the CVE-2024-3651 mitigation. [CVE-2026-45409]</li> </ul> <p>Thanks to Stan Ulbrych for reporting the issue.</p> <h2>3.13 (2026-04-22)</h2> <ul> <li>Correct classification error for codepoint U+A7F1</li> </ul> <h2>3.12 (2026-04-21)</h2> <ul> <li>Update to Unicode 17.0.0.</li> <li>Issue a deprecation warning for the transitional argument.</li> <li>Added lazy-loading to provide some performance improvements.</li> <li>Removed vestiges of code related to Python 2 support, including segmentation of data structures specific to Jython.</li> </ul> <p>Thanks to Rodrigo Nogueira for contributions to this release.</p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="af30a092e1"><code>af30a09</code></a> Release 3.15</li> <li><a href="30314d4628"><code>30314d4</code></a> Pre-release 3.15rc0</li> <li><a href="05d4b219aa"><code>05d4b21</code></a> Merge pull request <a href="https://redirect.github.com/kjd/idna/issues/237">#237</a> from kjd/convert-docs-to-markdown</li> <li><a href="2987fdba19"><code>2987fdb</code></a> Convert README and HISTORY from reStructuredText to Markdown</li> <li><a href="59fa8002d5"><code>59fa800</code></a> Merge pull request <a href="https://redirect.github.com/kjd/idna/issues/236">#236</a> from kjd/dependabot/github_actions/actions-f3e34333ea</li> <li><a href="def69834ce"><code>def6983</code></a> Merge branch 'master' into dependabot/github_actions/actions-f3e34333ea</li> <li><a href="bbd8004a79"><code>bbd8004</code></a> Merge pull request <a href="https://redirect.github.com/kjd/idna/issues/234">#234</a> from StanFromIreland/patch-1</li> <li><a href="edd07c0502"><code>edd07c0</code></a> Bump github/codeql-action from 3.35.2 to 4.35.2 in the actions group</li> <li><a href="5557db030c"><code>5557db0</code></a> Merge branch 'master' into patch-1</li> <li><a href="f11746cf49"><code>f11746c</code></a> Merge pull request <a href="https://redirect.github.com/kjd/idna/issues/235">#235</a> from StanFromIreland/patch-2</li> <li>Additional commits viewable in <a href="https://github.com/kjd/idna/compare/v3.11...v3.15">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/langchain/network/alerts). </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
🦜️🔗 LangChain
Looking for the JS/TS version? Check out LangChain.js.
To help you ship LangChain apps to production faster, check out LangSmith. LangSmith is a unified developer platform for building, testing, and monitoring LLM applications.
Quick Install
pip install langchain
🤔 What is this?
LangChain is the easiest way to start building agents and applications powered by LLMs. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and more. LangChain provides a pre-built agent architecture and model integrations to help you get started quickly and seamlessly incorporate LLMs into your agents and applications.
We recommend you use LangChain if you want to quickly build agents and autonomous applications. Use LangGraph, our low-level agent orchestration framework and runtime, when you have more advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency.
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.)
📖 Documentation
For full documentation, see the API reference. For conceptual guides, tutorials, and examples on using LangChain, see the LangChain Docs. You can also chat with the docs using Chat LangChain.
📕 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.