[DRAFT] semantic kernel model adapter

[lspinheiro]

Why are these changes needed?

Related issue number

Checks

• I've included any doc changes needed for https://microsoft.github.io/autogen/. See https://microsoft.github.io/autogen/docs/Contribute#documentation to build and test documentation locally.
• I've added tests (if relevant) corresponding to the changes introduced in this PR.
• I've made sure all auto checks have passed.

[ekzhu]

I can see it is going to be useful for integrating with non-openai APIs such as Gemini and Mistral, using SK's large ecosystem of connectors. Could you show a few examples of such in the API documentation? This way users can take away a clear picture of why this model adapter is useful.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 71.92%. Comparing base (e168616) to head (3fe641e).

Additional details and impacted files

@@            Coverage Diff             @@
##             main    #4851      +/-   ##
==========================================
+ Coverage   68.21%   71.92%   +3.71%     
==========================================
  Files         158      116      -42     
  Lines        9960     6582    -3378     
==========================================
- Hits         6794     4734    -2060     
+ Misses       3166     1848    -1318     

Flag	Coverage Δ
unittests	71.92% <ø> (+3.71%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.