## Summary
Follow up to #132590.
Part of #181111.
This updates the developer examples for `@kbn/ml-response-stream` to
include a variant with a full Redux Toolkit setup. For this case, the
`@kbn/ml-response-stream` now includes a generic slice `streamSlice`
that can be used. This allows the actions created to be streamed via
NDJSON to be shared across server and client.
Functional tests for the examples were added too. To run these tests you
can use the following commands:
```
# Start the test server (can continue running)
node scripts/functional_tests_server.js --config test/examples/config.js
# Start a test run
node scripts/functional_test_runner.js --config test/examples/config.js
```
### Checklist
- [x] [Unit or functional
tests](https://www.elastic.co/guide/en/kibana/master/development-tests.html)
were updated or added to match the most common scenarios
- [x] This was checked for breaking API changes and was [labeled
appropriately](https://www.elastic.co/guide/en/kibana/master/contributing.html#kibana-release-notes-process)
- Originally Kibana's `http` service did not support receiving streams,
that's why we used plain `fetch` for this. This has been fixed in
#158678, so this PR updates the streaming helpers to use Kibana's `http`
service from now on.
- The PR also breaks out the response stream code into its own package
and restructures it to separate client and server side code. This brings
down the `aiops` bundle size by `~300KB`! 🥳
- The approach to client side throttling/buffering was also revamped:
There was an issue doing the throttling inside the generator function,
it always waited for the timeout. The buffering is now removed from
`fetchStream`, instead `useThrottle` from `react-use` is used on the
reduced `data` in `useFetchStream`. Loading log rate analysis results
got a lot snappier with this update!
This creates a response_stream plugin in the Kibana /examples section. The plugin demonstrates API endpoints that can stream data chunks with a single request with gzip/compression support. gzip-streams get decompressed natively by browsers. The plugin demonstrates two use cases to get started: Streaming a raw string as well as a more complex example that streams Redux-like actions to the client which update React state via useReducer().
