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Response transformation crashed with TypeError when counting tokens for multimodal (dict-shaped) embedding inputs, since encoding.encode() was called directly on the dict instead of its text parts. Also removed a dead, equally-buggy duplicate of the same loop in _transform_response. Separately, the embeddings guardrail handler silently skipped multimodal dict inputs instead of scanning them, letting prohibited text/image content bypass the configured guardrail. It now extracts and scans the text parts while leaving image parts untouched. |
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| .. | ||
| baseline_db.py | ||
| check_file_length.py | ||
| check_files_match.py | ||
| generate_model_prices_schema.py | ||
| run_migration.py | ||
| security_scans_readme.md | ||
| TEST_KEY_PATTERNS.md | ||