mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-08-21 15:12:26 +02:00
Nuno CamposandGitHub
adc4569daf
Bumps [h11](https://github.com/python-hyper/h11) from 0.14.0 to 0.16.0. <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/python-hyper/h11/commit/1c5b07581f058886c8bdd87adababd7d959dc7ca"><code>1c5b075</code></a> this time for surer</li> <li><a href="https://github.com/python-hyper/h11/commit/d9c369935e853a7ee1aeb7e481f6dddf9b9c9b8a"><code>d9c3699</code></a> this time for sure...</li> <li><a href="https://github.com/python-hyper/h11/commit/d91b9dd2290a25c8c3f5ec15feb57de5873e6e39"><code>d91b9dd</code></a> blacken</li> <li><a href="https://github.com/python-hyper/h11/commit/5a4683ca466b59bbab9b19cfea20ee157b31cee0"><code>5a4683c</code></a> Soothe mypy</li> <li><a href="https://github.com/python-hyper/h11/commit/9c9567f0a92d13a83a8d8ebdbc757c8c2d384536"><code>9c9567f</code></a> Bump version to 0.16.0</li> <li><a href="https://github.com/python-hyper/h11/commit/114803a29ce50116dc47951c690ad4892b1a36ed"><code>114803a</code></a> Merge commit from fork</li> <li><a href="https://github.com/python-hyper/h11/commit/9462006f6ce4941661888228cbd4ac1ea80689b0"><code>9462006</code></a> Bump version to 0.15.0</li> <li><a href="https://github.com/python-hyper/h11/commit/70a96bea8e55403e5d92db14c111432c6d7a8685"><code>70a96be</code></a> Merge pull request <a href="https://redirect.github.com/python-hyper/h11/issues/181">#181</a> from Julien00859/Julien00859/get_int_max_str_digits</li> <li><a href="https://github.com/python-hyper/h11/commit/60782ad107e538b9312aac7e1c119c8358bf797c"><code>60782ad</code></a> Reject Content-Length longer 1 billion TB</li> <li><a href="https://github.com/python-hyper/h11/commit/dff7cc397a26ed4acdedd92d1bda6c8f18a6ed9f"><code>dff7cc3</code></a> Validate Chunked-Encoding chunk footer</li> <li>Additional commits viewable in <a href="https://github.com/python-hyper/h11/compare/v0.14.0...v0.16.0">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) 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 `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/langchain-ai/langgraph/network/alerts). </details>
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
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>*