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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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