Files
langgraph/docs
2eba27b01f docs: fix typo in hil how to doc (#3850)
Current text in the doc is incorrect:
```
Use the search tool to ask the user where they are, then look up the weather there
```

The search tool is not the one to use. Instead should just tell the
model to ask the user.

In addition, an important step is missing and makes the code seem less
impactful:
```python
location = interrupt("Please provide your location:")
```

The question to ask the human is actually coming from the LLM, there is
no need to hardcode it:
```python
...
location = interrupt(ask.question)
```

Before merging, someone who validates this should push an update to cell
outputs. I cleared it out from my branch because it made too many
updates to the file and would make it harder to review.

Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
2025-03-18 18:00:49 -04:00
..
2025-02-03 18:57:17 -08:00
2025-02-03 20:13:58 +00:00
2025-02-03 20:13:58 +00:00

Setup

To setup requirements for building docs you can run:

poetry install --with test

Serving documentation locally

To run the documentation server locally you can run:

make serve-docs

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>*