[8.18] [ML] Fix model deployment check in file uploader (#209585)#210644
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kibanamachine merged 1 commit intoelastic:8.18from Feb 11, 2025
Merged
[8.18] [ML] Fix model deployment check in file uploader (#209585)#210644kibanamachine merged 1 commit intoelastic:8.18from
kibanamachine merged 1 commit intoelastic:8.18from
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Adding an additional check to see if the selected model has been
deployed before continuing with the upload.
The `num_allocations` count can occasionally be incorrect, so this also
checks to see if the initial call to the inference api has returned with
no error. If it has, the model must be deployed.
To test:
Manually deploy both `.elser_model_2` and `.multilingual-e5-small` in
ML's trained models page.
In dev tools call:
```
POST /_inference/.multilingual-e5-small-elasticsearch
{
"input": ""
}
```
then call:
```
POST /_inference/.elser-2-elasticsearch
{
"input": ""
}
```
Once both models have been deployed, check the `num_allocations` of
`.elser-2-elasticsearch`
```
GET /_inference/.elser-2-elasticsearch
```
It should be `0` even though the model has been deployed.
If it isn't `0`. wait around 15mins for both models to scale down then
repeat the dev tools commands.
Call this to check `num_allocations ` in both models.
```
GET /_inference/_all
```
(cherry picked from commit 06801d8)
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