Fix ordering of Gemini inlined batch responses

[neo-con]

Summary

Fixes #1909.

The Gemini API can return inlinedResponses out of request order for batch jobs that use inlined_requests. This change preserves the original request order by stamping an SDK-reserved order marker on each inlined request and reordering returned inlined responses by that marker when the full marker set is present and valid.

This change keeps the behavior conservative:

• if any response is missing the reserved order marker, preserve backend order
• if any response has a non-numeric order marker, preserve backend order
• caller-provided metadata cannot override the reserved SDK order marker

Changes

• add a reserved internal metadata key for inlined request ordering
• stamp deterministic request-order metadata onto Gemini inlined batch requests
• reorder Gemini inlined batch responses by that metadata before returning them
• strip the internal order marker from returned response metadata after reordering
• add regression coverage for:
  • internal order metadata injection
  • reserved-key override behavior
  • deterministic response reordering
  • missing-metadata fallback
  • non-numeric fallback

Testing

env -u GOOGLE_API_KEY -u GEMINI_API_KEY python -m py_compile google/genai/batches.py google/genai/tests/conftest.py google/genai/tests/batches/test_create_with_inlined_requests.py

env -u GOOGLE_API_KEY -u GEMINI_API_KEY GOOGLE_GENAI_REPLAYS_DIRECTORY=/tmp/google-genai-replays pytest google/genai/tests/batches/test_create_with_inlined_requests.py --mode replay -q

env -u GOOGLE_API_KEY -u GEMINI_API_KEY GOOGLE_GENAI_REPLAYS_DIRECTORY=/tmp/google-genai-replays pytest google/genai/tests/batches/test_create_with_inlined_requests.py -k internal_order_metadata --mode replay -q

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[Venkaiahbabuneelam]

Hi @neo-con, Thanks for reaching out us!

Looks like the branch is out of date, Can you please update the branch.
Thanks