Files
langgraph/docs
Sakshi GuptaandGitHub 7bbe8d8628 docs: Update graph-api.md for "Extended example: specifying LLM at runtime" (#5938)
docs (graphapi) : Handle Missing Context in LLM Invocation - Invoking
the LLM without explicitly passing a context parameter resulted in the
following error:
`AttributeError: 'NoneType' object has no attribute 'model_provider'`
This occurred because the context was None, and the system attempted to
access model_provider. This PR ensures that when context is not
provided, an empty context is passed explicitly. This allows the system
to correctly fall back to the default value defined in the
ContextSchema.model_provider attribute.
2025-09-09 15:43:42 +00:00
..
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Setup

To setup requirements for building docs you can run:

uv sync --group test

Serving documentation locally

To run the documentation server locally you can run:

make serve-docs

This will start the documentation server on http://127.0.0.1:8000/langgraph/.

Execute notebooks

If you would like to automatically execute all of the notebooks, to mimic the "Run notebooks" GHA, you can run:

python _scripts/prepare_notebooks_for_ci.py
./_scripts/execute_notebooks.sh

Note: if you want to run the notebooks without %pip install cells, you can run:

python _scripts/prepare_notebooks_for_ci.py --comment-install-cells
./_scripts/execute_notebooks.sh

prepare_notebooks_for_ci.py script will add VCR cassette context manager for each cell in the notebook, so that:

  • when the notebook is run for the first time, cells with network requests will be recorded to a VCR cassette file
  • when the notebook is run subsequently, the cells with network requests will be replayed from the cassettes

Adding new notebooks

If you are adding a notebook with API requests, it's recommended to record network requests so that they can be subsequently replayed. If this is not done, the notebook runner will make API requests every time the notebook is run, which can be costly and slow.

To record network requests, please make sure to first run prepare_notebooks_for_ci.py script.

Then, run

jupyter execute <path_to_notebook>

Once the notebook is executed, you should see the new VCR cassettes recorded in cassettes directory and discard the updated notebook.

Updating existing notebooks

If you are updating an existing notebook, please make sure to remove any existing cassettes for the notebook in cassettes directory (each cassette is prefixed with the notebook name), and then run the steps from the "Adding new notebooks" section above.

To delete cassettes for a notebook, you can run:

rm cassettes/<notebook_name>*