langchain-tensorlake 0.1.3

A LangChain tool for parsing documents using Tensorlake's DocumentAI.

LangChain Tensorlake

This repository contains 1 package with Tensorlake integrations with LangChain:

• langchain-tensorlake

Creating a TestPyPI version

This repository has a TEST_PYPI_TOKEN for publishing to test.pypi.org.

Through the GitHub Workflow

To trigger a build and automatic publish to test.pypi.org/project/langchain-tensorlake, follow these steps:

1. Create a new git tag with git tag v0.1.0, updating the version number appropriately
2. Push the tag to GitHub with git push origin v0.1.0

Manually

To manually build and publish to test.pypi.org/project/langchain-tensorlake, follow these steps:

1. Bump the version in pyproject.toml.
2. Build with python -m build
3. Run twine upload --repository testpypi dist/*
4. Verify it was updated on TestPyPI
5. Verify the installation with:

   pip install --index-url https://test.pypi.org/simple \
               --extra-index-url https://pypi.org/simple \
               langchain-tensorlake
   

Creating a PyPI verison

This repository has a PYPI_API_TOKEN for publishing to pypi.org.

Through the GitHub Workflow

To trigger a build and automatic publish to pypi.org/project/langchain-tensorlake, follow these steps:

1. On GitHub, go to Releases -> Create a new release
2. Add a tag version, release title, and release description
3. Click Publish release

Manually

To manually build and publish to pypi.org/project/langchain-tensorlake, follow these steps:

1. Bump the version in pyproject.toml.
2. Build with python -m build
3. Run twine upload dist/*
4. Verify it was updated on PyPI
5. Verify the installation with:

   pip install langchain-tensorlake
   

Clean Up After a Build

While testing, you may need to clean your environment. Make sure you remove all dist, build, and egg-info files:

rm -rf dist/ build/ src/langchain_tensorlake.egg-info