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<!-- Thank you for contributing to LangChain! Replace this entire 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 your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md 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. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> - **Description:** Moved the agent designed to interact with and query a MongoDB database using PyMongo into experimental, and fixed the unit test issues that came about using MongoDB Unix sockets. - **Issue:** There were some some test workflows not running in `Harrison/mongo-agent` due to using nonexistent sockets, and Mongo agent should have been moved to experimental due to concerns mentioned in #13991 - **Dependencies:** `pymongo` in experimental, not optional - Reason: Github workflows were throwing `pymongo ModuleNotFound` errors when it was optional, even after adding it to extended testing, running poetry lock, doing everything that the testing documentation said to do - **Related:** #14056, #13991 - **Tag maintainers:** @hwchase17 @efriis --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>