## Description
Updates package metadata and README badges so LangChain social links
point to the new `@langchain_oss` X handle. This was completed with
AI-agent assistance.
## Test Plan
- [ ] Validate README badges and package metadata links point to
`https://x.com/langchain_oss`
_Opened collaboratively by Mason Daugherty and open-swe._
---------
Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com>
Co-authored-by: Mason Daugherty <61371264+mdrxy@users.noreply.github.com>
CVE-2025-71176 (medium severity)
All are dev-only (test dependency group) — no impact on published
packages.
### Why syrupy was also bumped
syrupy 4.x (`<5.0.0`) constrains pytest to `<9.0.0`, blocking the CVE
fix. Widening to `<6.0.0` allows syrupy 5.x which supports pytest 9.x.
## Summary
Bumps `pygments` to `>=2.20.0` across all 21 affected packages to
address [CVE-2026-4539](https://github.com/advisories/GHSA-XXXX) — ReDoS
via inefficient GUID regex in Pygments.
- **Severity:** Low
- **Fixed in:** 2.20.0 (was 2.19.2)
- **Change:** Added `pygments>=2.20.0` to `constraint-dependencies` in
`[tool.uv]` for each package, then ran `uv lock --upgrade-package
pygments` to regenerate lock files.
Closes Dependabot alerts #3435–#3455.
## Release Note
Patch deps
### Test Plan
- [x] CI Green 🙏
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Bump the minimum `langchain-core` dependency to `>=1.2.21` across all 14
partner packages in the monorepo. Aligns partner lower bounds with the
latest core release so consumers pick up recent fixes (notably the
`ModelProfile` schema drift fix from core 1.2.21).
Updates the minimum Pillow version to address CVE-2026-25990 (HIGH
severity out-of-bounds write vulnerability affecting versions 10.3.0
through 12.1.0).
Changes:
langchain-nomic: pillow>=10.3.0,<13.0.0 → pillow>=12.1.1,<13.0.0
langchain-openai: pillow>=10.3.0,<13.0.0 → pillow>=12.1.1,<13.0.0
langchain-perplexity: pillow>=10.3.0,<13.0.0 → pillow>=12.1.1,<13.0.0
Safety: This is a minimum version bump within the existing constraint
range (<13.0.0), so no breaking changes are introduced.
CVE Details:
CVE-2026-25990: An out-of-bounds write may be triggered when loading a
specially crafted PSD image
Affected versions: 10.3.0 to <12.1.1
Fixed in: 12.1.1
Reference: https://nvd.nist.gov/vuln/detail/CVE-2026-25990
** Claude Helped me write this nice message **
The original findings was thanks to a Trivy scan
---------
Co-authored-by: Mason Daugherty <mason@langchain.dev>
- Removes Codespell from deps, docs, and `Makefile`s
- Python version requirements in all `pyproject.toml` files now use the
`~=` (compatible release) specifier
- All dependency groups and main dependencies now use explicit lower and
upper bounds, reducing potential for breaking changes
Follow up to https://github.com/langchain-ai/langsmith-sdk/pull/1696,
I've bumped the `langsmith` version where applicable in `uv.lock`.
Type checking problems here because deps have been updated in
`pyproject.toml` and `uv lock` hasn't been run - we should enforce that
in the future - goes with the other dependabot todos :).
Generally, this PR is CI performance focused + aims to clean up some
dependencies at the same time.
1. Unpins upper bounds for `numpy` in all `pyproject.toml` files where
`numpy` is specified
2. Requires `numpy >= 2.1.0` for Python 3.13 and `numpy > v1.26.0` for
Python 3.12, plus a `numpy` min version bump for `chroma`
3. Speeds up CI by minutes - linting on Python 3.13, installing `numpy <
2.1.0` was taking [~3
minutes](https://github.com/langchain-ai/langchain/actions/runs/14316342925/job/40123305868?pr=30713),
now the entire env setup takes a few seconds
4. Deleted the `numpy` test dependency from partners where that was not
used, specifically `huggingface`, `voyageai`, `xai`, and `nomic`.
It's a bit unfortunate that `langchain-community` depends on `numpy`, we
might want to try to fix that in the future...
Closes https://github.com/langchain-ai/langchain/issues/26026
Fixes https://github.com/langchain-ai/langchain/issues/30555
Thank you for contributing to LangChain!
**Description:** Adds Langchain support for Nomic Embed Vision
**Twitter handle:** nomic_ai,zach_nussbaum
- [x] **Add tests and docs**: If you're adding a new integration, please
include
1. a test for the integration, preferably unit tests that do not rely on
network access,
2. an example notebook showing its use. It lives in
`docs/docs/integrations` directory.
- [ ] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/
Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.
If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, ccurme, vbarda, hwchase17.
---------
Co-authored-by: Lance Martin <122662504+rlancemartin@users.noreply.github.com>
Co-authored-by: Bagatur <baskaryan@gmail.com>
## Description
This PR implements local and dynamic mode in the Nomic Embed integration
using the inference_mode and device parameters. They work as documented
[here](https://docs.nomic.ai/reference/python-api/embeddings#local-inference).
<!-- If no one reviews your PR within a few days, please @-mention one
of baskaryan, efriis, eyurtsev, hwchase17. -->
---------
Co-authored-by: Erick Friis <erickfriis@gmail.com>
