jaideeppyne ab78459097 fix(cohere): handle multimodal inputs in token counting and guardrails ... 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.		2026-08-13 09:01:47 +05:30
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base_ocr_unit_tests.py	fix(cohere): handle multimodal inputs in token counting and guardrails	2026-08-13 09:01:47 +05:30
conftest.py	fix(cohere): handle multimodal inputs in token counting and guardrails	2026-08-13 09:01:47 +05:30
test_ocr_azure_ai.py	fix(cohere): handle multimodal inputs in token counting and guardrails	2026-08-13 09:01:47 +05:30
test_ocr_azure_document_intelligence.py	fix(cohere): handle multimodal inputs in token counting and guardrails	2026-08-13 09:01:47 +05:30
test_ocr_mistral.py	fix(cohere): handle multimodal inputs in token counting and guardrails	2026-08-13 09:01:47 +05:30
test_ocr_vertex_ai.py	fix(cohere): handle multimodal inputs in token counting and guardrails	2026-08-13 09:01:47 +05:30
vertex_key.json	fix(cohere): handle multimodal inputs in token counting and guardrails	2026-08-13 09:01:47 +05:30