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ci: install mkdocs-insiders only for internal PRs (#3422)

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Vadym Barda
2025-02-13 12:24:30 -05:00
committed by GitHub
parent b310ce07bc
commit da96925ecb
2 changed files with 7 additions and 2 deletions
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.github/workflows/deploy_docs.yml
+6 -1
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@@ -78,9 +78,14 @@ jobs:
pytest \
pytest-check-links \
GitPython \
"git+https://${GITHUB_TOKEN}@github.com/langchain-ai/mkdocs-material-insiders.git" \
"git+https://github.com/benjamincburns/markdown-exec.git@cc0d39d737e5ffd4b83d23cd8729d7ea16e363c8"
# we run this installation only for internal PRs
# as GITHUB_TOKEN is not available for PRs from outside contributors
if [ -n "${GITHUB_TOKEN}" ]; then
poetry run pip install "git+https://${GITHUB_TOKEN}@github.com/langchain-ai/mkdocs-material-insiders.git"
fi
poetry run jupyter kernelspec list
poetry run python3 -m ipykernel install --user --name=python3
npm install -g tslab
docs/docs/how-tos/agent-handoffs.ipynb
+1 -1
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@@ -58,7 +58,7 @@
"\n",
"This guide shows how you can:\n",
"\n",
"- implement handoffs using `Command`: agent node makes some decision (usually LLM-based), and explicitly returns a handoff via `Command`. These are useful when you need fine-grained control over how an agent routes to another agent. It could be well suited for implementing a supervisor agent in a supervisor architecture.\n",
"- implement handoffs using `Command`: agent node makes a decision on who to hand off to (usually LLM-based), and explicitly returns a handoff via `Command`. These are useful when you need fine-grained control over how an agent routes to another agent. It could be well suited for implementing a supervisor agent in a supervisor architecture.\n",
"- implement handoffs using tools: a tool-calling agent has access to tools that can return a handoff via `Command`. The tool-executing node in the agent recognizes `Command` objects returned by the tools and routes accordingly. Handoff tool a general-purpose primitive that is useful in any multi-agent systems that contain tool-calling agents."
]
},