Hi, I have built a package `nodeology` that empowers researchers to
rapidly develop, test, adapt, and execute foundation AI-integrated
scientific workflows by leveraging langgraph's state machine framework.
Please take a look and let me know if it can be added into this list.
Thank you :)
This PR removes the following changes:
* notebooks that were converted to markdown
* mkdocs.yml file to reference the ipython notebooks rather than the
markdown files
* Makefile install vercel reverted
* hooks for markdown-exec
* notebook conversion jinja2 templates (for converting notebooks to
markdown exec format)
* Add ast parsing to determine whether we should include result="ansi".
It's not meant to be perfect, but will hopefully catch the most common
cases. Still requires manual review.
* Ideally we could suppress output in markdown-exec in the future.
* Adds another notebook conversion
* Fix up some edge cases for handling links in notebooks. Notebooks
links were using a different convention than markdown links.
We'll need to push additional logic to use an appropriate suffix (.md or
.ipynb) for cross-references between how-to guides (though these should
be rare).
* Add testing step to to docs build pipeline
* Requires updating import structure in some place
* Add simple unit test to cover some logic with highlights
* Adds a conversion script from ipython notebook to markdown.
* Replaces one ipython notebook (create react agent) with a markdown file for testing.
---------
Co-authored-by: Ben Burns <803016+benjamincburns@users.noreply.github.com>
Adding open source web researcher agent to the third party page
---------
Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>
Co-authored-by: Eugene Yurtsev <eugene@langchain.dev>
* Concepts page for the functional API
* How-to guides that show functional API implementations
* API reference for entrypoint, task, entrypoint.final
* Add functional API version to the workflows
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Co-authored-by: Vadym Barda <vadym@langchain.dev>
Co-authored-by: ccurme <chester.curme@gmail.com>
