Stages Documentation

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712:configure_stages [2026/05/04 12:31] – [Modify secret.properties settings] Veit, Elke712:configure_stages [2026/09/23 08:23] (current) – [AI Feature Tokenizer Configuration] Prinz, Patrick
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 ===== AI Feature Tokenizer Configuration ===== ===== AI Feature Tokenizer Configuration =====
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 +>Attention - Introduced with 7.12.8.1: \\ If openAiCompatible Adapter is used and no Tokenizer is provided via the conf folder, Stages falls back to a generic o200k based Tokenizer that is suitable for most of the late openAi compatible models.
  
 LLM that are NOT using the standard byte-pair-encoding algorithm or are provided via the openAICompatible adapter CANNOT be used with the Azure tokenizer. Stages implements the HuggingFaceTokenizer from deep java library to support customized tokenizer. LLM that are NOT using the standard byte-pair-encoding algorithm or are provided via the openAICompatible adapter CANNOT be used with the Azure tokenizer. Stages implements the HuggingFaceTokenizer from deep java library to support customized tokenizer.
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   </cg-host>   </cg-host>
  
- In methodpark\stages\conf+In methodpark\stages\conf
  
 Create a folder tokenizer\custom-model-v1 ← make sure the folder name exactly matches the value in the tokenizerFolder property Create a folder tokenizer\custom-model-v1 ← make sure the folder name exactly matches the value in the tokenizerFolder property