langchain/docs/cassettes/debugging_2.msgpack.zlib
ccurme 595dc592c9
docs: run how-to guides in CI (#27615)
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.).
2024-10-30 12:35:38 -04:00

1 line
5.7 KiB
Plaintext

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