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fa4e609b61
Bumps [langchain-core](https://github.com/langchain-ai/langchain) from 1.3.2 to 1.3.3. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/langchain-ai/langchain/releases">langchain-core's releases</a>.</em></p> <blockquote> <h2>langchain-core==1.3.3</h2> <p>Changes since langchain-core==1.3.2</p> <p>release(core): 1.3.3 (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37198">#37198</a>) fix(core): set deprecation <code>since</code> to 1.3.3 to match release (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37200">#37200</a>) fix(core, langchain): harden <code>load()</code> against untrusted manifests (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37197">#37197</a>) chore: bump notebook from 7.5.0 to 7.5.6 in /libs/core (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37109">#37109</a>) chore: bump types-pyyaml from 6.0.12.20250915 to 6.0.12.20260408 in /libs/core (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37129">#37129</a>) fix(core): preserve structured <code>inputs</code> on tool runs in tracers (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37108">#37108</a>) release(perplexity): 1.2.0 (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37091">#37091</a>) chore(docs): update x handle references (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37081">#37081</a>) fix(core): make <code>removal</code> optional in <code>warn_deprecated</code> (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37056">#37056</a>) fix(core): validate batch_size in _batch and _abatch to prevent infinite loop (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36663">#36663</a>) chore(core): mark stream_v2/astream_v2 as beta (<a href="https://redirect.github.com/langchain-ai/langchain/issues/36992">#36992</a>)</p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="5039dfec1f"><code>5039dfe</code></a> release(core): 1.3.3 (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37198">#37198</a>)</li> <li><a href="55a7707837"><code>55a7707</code></a> fix(core): set deprecation <code>since</code> to 1.3.3 to match release (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37200">#37200</a>)</li> <li><a href="c979c6187b"><code>c979c61</code></a> fix(core, langchain): harden <code>load()</code> against untrusted manifests (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37197">#37197</a>)</li> <li><a href="d7031101da"><code>d703110</code></a> docs: update README.md (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37190">#37190</a>)</li> <li><a href="4d50a2a68b"><code>4d50a2a</code></a> ci(infra): run pre-release checks before TestPyPI publish (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37194">#37194</a>)</li> <li><a href="9bd730e199"><code>9bd730e</code></a> fix(fireworks): require <code>api_key</code> in <code>FireworksEmbeddings</code> (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37193">#37193</a>)</li> <li><a href="f475f4191f"><code>f475f41</code></a> release(mistralai): 1.1.4 (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37191">#37191</a>)</li> <li><a href="7dbff48aff"><code>7dbff48</code></a> fix(mistralai): strip non-wire keys from <code>ToolMessage</code> (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37188">#37188</a>)</li> <li><a href="913816c440"><code>913816c</code></a> release(fireworks): 1.3.1 (<a href="https://redirect.github.com/langchain-ai/langchain/issues/37189">#37189</a>)</li> <li><a href="4498d3dc84"><code>4498d3d</code></a> fix(fireworks): strip non-wire keys from <code>ToolMessage</code> text content blocks (#...</li> <li>Additional commits viewable in <a href="https://github.com/langchain-ai/langchain/compare/langchain-core==1.3.2...langchain-core==1.3.3">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. 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🦜🪪 langchain-model-profiles
Warning
This package is currently in development and the API is subject to change.
CLI tool for updating model profile data in LangChain integration packages.
Quick Install
pip install langchain-model-profiles
🤔 What is this?
langchain-model-profiles is a CLI tool for fetching and updating model capability data from models.dev for use in LangChain integration packages.
LangChain chat models expose a .profile field that provides programmatic access to model capabilities such as context window sizes, supported modalities, tool calling, structured output, and more. This CLI tool helps maintainers keep that data up-to-date.
Data sources
This package is built on top of the excellent work by the models.dev project, an open source initiative that provides model capability data.
LangChain model profiles augment the data from models.dev with some additional fields. We intend to keep this aligned with the upstream project as it evolves.
📖 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.
Usage
Update model profile data for a specific provider:
langchain-profiles refresh --provider anthropic --data-dir ./langchain_anthropic/data
This downloads the latest model data from models.dev, merges it with any augmentations defined in profile_augmentations.toml, and generates a profiles.py file.