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65faba91ad
The Github utilities are fantastic, so I'm adding support for deeper interaction with pull requests. Agents should read "regular" comments and review comments, and the content of PR files (with summarization or `ctags` abbreviations). Progress: - [x] Add functions to read pull requests and the full content of modified files. - [x] Function to use Github's built in code / issues search. Out of scope: - Smarter summarization of file contents of large pull requests (`tree` output, or ctags). - Smarter functions to checkout PRs and edit the files incrementally before bulk committing all changes. - Docs example for creating two agents: - One watches issues: For every new issue, open a PR with your best attempt at fixing it. - The other watches PRs: For every new PR && every new comment on a PR, check the status and try to finish the job. <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced and you'd like a mention, we'll gladly shout you out! Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Erick Friis <erick@langchain.dev> |
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| docusaurus.config.js | ||
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| package.json | ||
| README.md | ||
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| vercel_build.sh | ||
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Website
This website is built using Docusaurus 2, a modern static website generator.
Installation
$ yarn
Local Development
$ yarn start
This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
Build
$ yarn build
This command generates static content into the build directory and can be served using any static contents hosting service.
Deployment
Using SSH:
$ USE_SSH=true yarn deploy
Not using SSH:
$ GIT_USER=<Your GitHub username> yarn deploy
If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the gh-pages branch.
Continuous Integration
Some common defaults for linting/formatting have been set for you. If you integrate your project with an open-source Continuous Integration system (e.g. Travis CI, CircleCI), you may check for issues using the following command.
$ yarn ci