Release

1.54.0 (2026-07-29)

Snowpark Python API updates

New Features

• Added ai_count_tokens function to snowflake.snowpark.functions to estimate token counts for AI function calls.
• Added ai_multi_embed function to snowflake.snowpark.functions to generate multimodal embeddings from text, images, audio, or video files.
• Added ai_redact function to snowflake.snowpark.functions to detect and redact personally identifiable information (PII) from text.
• Added DataFrame.ai.multi_embed method to generate multimodal embeddings via the DataFrame API.
• Added DataFrame.ai.redact method to detect and redact PII from text columns via the DataFrame API.
• Added DataFrame.ai.translate method to translate text columns between languages via the DataFrame API.

Improvements

• Removed the experimental tag from all AI SQL functions in DataFrameAIFunctions (complete, filter, agg, classify, similarity, sentiment, embed, summarize_agg, transcribe, parse_document, extract, count_tokens, split_text_markdown_header, split_text_recursive_character) and RelationalGroupedDataFrame.ai_agg.
• Updated DataFrame.ai.count_tokens to match the standalone ai_count_tokens function: function_name is now the required first parameter, and model is optional. Also added options and return_error_details parameters.

Bug Fixes

• Fixed DataFrame.ai.count_tokens to call the AI_COUNT_TOKENS SQL function instead of the deprecated SNOWFLAKE.CORTEX.COUNT_TOKENS. Token counts may differ slightly due to the updated tokenizer.
• Reverted the change introduced in 1.53.0 to eliminate unnecessary SELECT * from joins, which was causing performance regressions. This has no functional impact.