Can't use LiteLLM for ML backend because of pinned jsonschema and jinja2 dependencies

**Describe the bug**

Currently it's impossible to use LiteLLM as an ML backend because Label Studio has `jsonschema==3.2.0` and `Jinja2==3.0.3` pinned, while LiteLLM 1.41.21 needs newer versions, but specifies a range so would be possible to reconcile.

```
5.061 The conflict is caused by:
5.061 label-studio-sdk 1.0.4 depends on jsonschema==3.2.0
5.061 litellm 1.41.21 depends on jsonschema<5.0.0 and >=4.22.0
```

```
6.340 The conflict is caused by:
6.340 label-studio-ml 1.0.9 depends on Jinja2==3.0.3
6.340 mlflow 2.14.3 depends on Jinja2<4 and >=2.11; platform_system != "Windows"
6.340 spacy 3.7.5 depends on jinja2
6.340 litellm 1.41.21 depends on jinja2<4.0.0 and >=3.1.2
```

Now I realise that bumping a major version of `jsonschema` might be a bigger job if there's a breaking change, but I went through LiteLLM releases and the relatively recent [1.41.1](https://github.com/BerriAI/litellm/commit/8d9352258fd6865369b0ea3ceebe47abfdf02f06) doesn't have `jsonschema` as a dependency, so could temporarily live with that.

In other words, is there any chance you could change the version to `Jinja2>=3.0.3` unless you're very certain something breaks in the version after?

And if possible see if you could upgrade `jsonschema` too? There was a security fix in [v4.18.0](https://github.com/python-jsonschema/jsonschema/blob/main/CHANGELOG.rst#v4180) in particular and `3.2.0` is almost 5 years old.

**To Reproduce**
Steps to reproduce the behavior:
1. Create a `requirements.txt` with the following contents:
```
litellm==1.41.21
label-studio-ml==1.0.9
label-studio-sdk==1.0.4
```
2. Try to install with `pip install -r requirements.txt`

**Expected behavior**
The packages can be installed.

**Environment (please complete the following information):**
- OS: Mac OS 14.5 and Docker `python:3.11.9-bookworm`
- Label Studio Version ml==1.0.9 sdk==1.0.4