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Add how-to guides to [Run notebooks job](https://github.com/langchain-ai/langchain/actions/workflows/run_notebooks.yml) and fix existing notebooks. - As with tutorials, cassettes must be updated when HTTP calls in guides change (by running existing [script](https://github.com/langchain-ai/langchain/blob/master/docs/scripts/update_cassettes.sh)). - Cassettes now total ~62mb over 474 files. - `docs/scripts/prepare_notebooks_for_ci.py` lists a number of notebooks that do not run (e.g., due to requiring additional infra, slowness, requiring `input()`, etc.).
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