Update langchain requirement from >=1.2.0 to >=1.3.0#28
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Updates the requirements on [langchain](https://github.com/langchain-ai/langchain) to permit the latest version. - [Release notes](https://github.com/langchain-ai/langchain/releases) - [Commits](langchain-ai/langchain@langchain==1.2.0...langchain==1.3.0) --- updated-dependencies: - dependency-name: langchain dependency-version: 1.3.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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Updates the requirements on langchain to permit the latest version.
Release notes
Sourced from langchain's releases.
Commits
21d77d6release(langchain): 1.3.0 (#37361)e8ca09dchore: bump jupyter-server from 2.17.0 to 2.18.0 in /libs/core (#37354)9b6af7fchore: bump mistune from 3.1.4 to 3.2.1 in /libs/core (#37353)f7420f7chore: bump requests from 2.33.1 to 2.34.0 in /libs/partners/fireworks (#37355)70e66a1chore: bump urllib3 from 2.6.3 to 2.7.0 in /libs/partners/openrouter (#37352)da380bcchore(infra): merge v1.4 into master (#37350)bbd10fechore: bump urllib3 from 2.6.3 to 2.7.0 in /libs/partners/anthropic (#37343)11bbfb7chore: bump urllib3 from 2.6.3 to 2.7.0 in /libs/partners/fireworks (#37339)7fd61d2chore: bump urllib3 from 2.6.3 to 2.7.0 in /libs/partners/mistralai (#37338)5c096bbchore: bump urllib3 from 2.6.3 to 2.7.0 in /libs/partners/nomic (#37334)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
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