mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-17 21:25:46 +02:00
@@ -81,7 +81,8 @@ jobs:
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run: make build-docs
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env:
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MKDOCS_GIT_COMMITTERS_APIKEY: ${{ secrets.MKDOCS_GIT_COMMITTERS_APIKEY }}
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- name: Build llms-text
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run: make llms-text
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- name: Check links in notebooks
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env:
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LANGCHAIN_API_KEY: test
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+4
-1
@@ -1,4 +1,4 @@
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.PHONY: lint-docs format-docs build-docs serve-docs serve-clean-docs clean-docs codespell build-typedoc
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.PHONY: lint-docs format-docs build-docs serve-docs serve-clean-docs clean-docs codespell build-typedoc llms-text
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build-typedoc:
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cd ../libs/sdk-js && yarn install --include-dev && yarn typedoc
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@@ -9,6 +9,9 @@ build-typedoc:
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build-docs: build-typedoc
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poetry run python -m mkdocs build --clean -f mkdocs.yml --strict
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llms-text:
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poetry run python _scripts/generate_llms_text.py docs/llms-full.txt
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install-vercel-deps:
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curl -sSL https://install.python-poetry.org | python3 -
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poetry self update 1.8.5
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@@ -41,10 +41,6 @@ def _make_llms_text(output_file: str) -> str:
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glob.glob(os.path.join(SOURCE_DIR, "concepts/*.ipynb"), recursive=True)
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)
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all_files = [
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path if isinstance(pathlib.Path) else pathlib.Path(path) for path in all_files
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]
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all_content = []
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# Process each file
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