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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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