feat(integrations): add support for embed_content methods in GoogleGenAI integration

[constantinius]

Issues

Closes https://linear.app/getsentry/issue/TET-1464/add-embedding-support-for-google-genai

[linear]

TET-1464 Add embedding support for Google Genai

[codecov]

Codecov Report

❌ Patch coverage is 80.51948% with 15 lines in your changes missing coverage. Please review.
✅ Project coverage is 83.96%. Comparing base (145773b) to head (3587c5e).
⚠️ Report is 2 commits behind head on master.
✅ All tests successful. No failed tests found.

Files with missing lines	Patch %	Lines
sentry_sdk/integrations/google_genai/utils.py	66.66%	4 Missing and 7 partials ⚠️
sentry_sdk/integrations/google_genai/__init__.py	90.90%	2 Missing and 2 partials ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #5128      +/-   ##
==========================================
- Coverage   84.00%   83.96%   -0.05%     
==========================================
  Files         180      180              
  Lines       18081    18245     +164     
  Branches     3216     3243      +27     
==========================================
+ Hits        15189    15319     +130     
- Misses       1913     1929      +16     
- Partials      979      997      +18     

Files with missing lines	Coverage Δ
sentry_sdk/integrations/google_genai/__init__.py	60.74% <90.90%> (+7.80%)	⬆️
sentry_sdk/integrations/google_genai/utils.py	67.96% <66.66%> (-0.16%)	⬇️

... and 4 files with indirect coverage changes

[cursor]

Bug: Positional arguments ignored in embed_content

The prepare_embed_content_args function accepts args but ignores them, only retrieving model and contents from kwargs. This causes missing span data (model name and input text) when embed_content is called with positional arguments, which is a supported usage pattern in the Google GenAI SDK.

 

[cursor]

Bug: Positional arguments ignored in embed_content

The prepare_embed_content_args function ignores positional arguments in args, unlike prepare_generate_content_args. This results in missing model name and input data in spans when embed_content is called with positional arguments (e.g., embed_content(model, contents)), which is a supported usage pattern.