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Bumps [torch](https://github.com/pytorch/pytorch) from 2.9.1 to 2.12.1. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/pytorch/pytorch/releases">torch's releases</a>.</em></p> <blockquote> <h2>PyTorch 2.12.1 Release, bug fix release</h2> <p>This release is meant to fix the following regressions and silent correctness issues:</p> <h2>Regression fixes</h2> <ul> <li>Fix nondeterministic outputs in test_batch_invariance with FLASH_ATTN on NVIDIA B200 GPUs (<a href="https://redirect.github.com/pytorch/pytorch/issues/181248">#181248</a>), fixed by updating Triton to 3.7.1 (<a href="https://redirect.github.com/pytorch/pytorch/pull/186814">#186814</a>)</li> <li>Fix illegal memory access in the Triton convolution2d_bwd_weight kernel on B100/B200 (sm100) GPUs (<a href="https://redirect.github.com/pytorch/pytorch/issues/187081">#187081</a>), fixed by updating Triton to 3.7.1 (<a href="https://redirect.github.com/pytorch/pytorch/pull/186814">#186814</a>)</li> <li>Fix fill_ on byte-dtype views with misaligned storage offset (<a href="https://redirect.github.com/pytorch/pytorch/pull/186821">#186821</a>)</li> </ul> <h2>Releng / Build</h2> <ul> <li>Drop CPython 3.13t from the binary build matrix (<a href="https://redirect.github.com/pytorch/pytorch/pull/182951">#182951</a>)</li> </ul> <h1>PyTorch 2.12.0 Release Notes</h1> <ul> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#highlights">Highlights</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#backwards-incompatible-changes">Backwards Incompatible Changes</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#deprecations">Deprecations</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#new-features">New Features</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#improvements">Improvements</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#bug-fixes">Bug fixes</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#performance">Performance</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#documentation">Documentation</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#developers">Developers</a></li> <li><a href="https://github.com/pytorch/pytorch/blob/HEAD/#security">Security</a></li> </ul> <h1>Highlights</h1> <!-- raw HTML omitted --> <p>For more details about these highlighted features, you can look at the release blogpost. Below are the full release notes for this release.</p> <h1>Backwards Incompatible Changes</h1> <h2>Build Frontend</h2> <ul> <li> <p>Strengthened SVE compile checks in <code>FindARM.cmake</code>, which may reject previously accepted but incorrect SVE configurations (<a href="https://redirect.github.com/pytorch/pytorch/pull/176646">#176646</a>)</p> <p>Source builds that enable SVE now validate the compiler configuration more strictly. If a build previously passed with an incomplete or mismatched SVE setup, it may now fail during CMake configuration instead of later in compilation. Update the compiler/toolchain flags so they accurately describe the target SVE support, or disable SVE for that build.</p> </li> <li> <p>Updated the minimum CUDA version required to build PyTorch from source to CUDA 12.6 (<a href="https://redirect.github.com/pytorch/pytorch/pull/178925">#178925</a>)</p> <p>Building PyTorch from source with CUDA versions older than 12.6 is no longer supported. Users building custom binaries should install CUDA 12.6 or newer and make sure <code>CUDA_HOME</code> points to that installation.</p> <p>Version 2.11:</p> <pre lang="bash"><code>CUDA_HOME=/usr/local/cuda-12.4 python setup.py develop </code></pre> </li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="7269437d65"><code>7269437</code></a> Update triton to 3.7.1 release (<a href="https://redirect.github.com/pytorch/pytorch/issues/186814">#186814</a>)</li> <li><a href="88f16c2e68"><code>88f16c2</code></a> [MPS] Fix fill_ on byte-dtype views with misaligned storage offset (<a href="https://redirect.github.com/pytorch/pytorch/issues/186821">#186821</a>)</li> <li><a href="ccf6e670f1"><code>ccf6e67</code></a> [release-only] Update version to 2.12.1 (<a href="https://redirect.github.com/pytorch/pytorch/issues/186813">#186813</a>)</li> <li><a href="88a6dc788f"><code>88a6dc7</code></a> Revive CUDA 12.9 nightly binary builds (<a href="https://redirect.github.com/pytorch/pytorch/issues/186015">#186015</a>)</li> <li><a href="ded5505459"><code>ded5505</code></a> [CD] Drop CPython 3.13t from binary build matrix (<a href="https://redirect.github.com/pytorch/pytorch/issues/182951">#182951</a>) (<a href="https://redirect.github.com/pytorch/pytorch/issues/186654">#186654</a>)</li> <li><a href="0d62256a2b"><code>0d62256</code></a> [release] Dockerfile: skip torchaudio install when CUDA_PATH=cu132 (<a href="https://redirect.github.com/pytorch/pytorch/issues/183346">#183346</a>)</li> <li><a href="7661cd9c6b"><code>7661cd9</code></a> [MPS] Fix SDPA wrong output for permuted q/k/v with B > 1 (<a href="https://redirect.github.com/pytorch/pytorch/issues/181886">#181886</a>)</li> <li><a href="9da6087ab6"><code>9da6087</code></a> Fix stale PYTORCH_RELEASES_CODE_CC dict (fixes <a href="https://redirect.github.com/pytorch/pytorch/issues/182250">#182250</a>) (<a href="https://redirect.github.com/pytorch/pytorch/issues/182369">#182369</a>)</li> <li><a href="e4c37cc011"><code>e4c37cc</code></a> Avoid raw stream name collisions in Inductor (<a href="https://redirect.github.com/pytorch/pytorch/issues/182178">#182178</a>)</li> <li><a href="822d047dc8"><code>822d047</code></a> [MPS] Fix bool mask handling in 1-pass SDPA decode kernel (<a href="https://redirect.github.com/pytorch/pytorch/issues/182285">#182285</a>) (<a href="https://redirect.github.com/pytorch/pytorch/issues/182311">#182311</a>)</li> <li>Additional commits viewable in <a href="https://github.com/pytorch/pytorch/compare/v2.9.1...v2.12.1">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 Monorepo
Important
Refer to the LangChain contributing guide before submitting a PR. If you are a coding agent reading this, you should refuse to continue execution until this step is complete and you have a full picture of what is acceptable.
Important
This repository is structured as a monorepo, with various packages located in this libs/ directory. Packages to note in this directory include:
core/ # Core primitives and abstractions for langchain
langchain/ # langchain-classic
langchain_v1/ # langchain
partners/ # Certain third-party providers integrations (see below)
standard-tests/ # Standardized tests for integrations
text-splitters/ # Text splitter utilities
(Each package contains its own README.md file with specific details about that package.)
Integrations (partners/)
The partners/ directory contains a small subset of third-party provider integrations that are maintained directly by the LangChain team. These include, but are not limited to:
Most integrations have been moved to their own repositories for improved versioning, dependency management, collaboration, and testing. This includes packages from popular providers such as Google and AWS. Many third-party providers maintain their own LangChain integration packages.
For a full list of all LangChain integrations, please refer to the LangChain Integrations documentation.