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Fixed AI-assisted sql_query generation and made has_valid_schema compatible with older Spark versions (#995)
## Changes
<!-- Summary of your changes that are easy to understand. Add
screenshots when necessary -->
* Improved Agent guidelines
* Make `has_valid_schema` check compatible with older spark versions (<
4)
* Fix issue with subqueries in sql `expression` check in Serverless v5
when check name is not provided (auto-derived)
* Added guidelines on how to configure DQX with LDP/DLT (Lakeflow
Declarative Pipelines) to enable incrementalization for Materialized
Views (MVs)
* Improved validation of required check function arguments
* Fix CI issues
### Linked issues
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Resolves: #1053
### Tests
<!-- How is this tested? Please see the checklist below and also
describe any other relevant tests -->
- [x] manually tested
- [x] added unit tests
- [x] added integration tests
- [ ] added end-to-end tests
- [ ] added performance tests
---------
Co-authored-by: Marcin Wojtyczka <marcin.wojtyczka@databricks.com>
Co-authored-by: mwojtyczka <mwojtyczka@users.noreply.github.com>
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