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1.3.6 - allow custom model ID for OpenAI compatible servers
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bpm-ai-connectors-c8/bpm_ai_connectors_c8/models.py

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# job variable names that define model parameters that should not be injected into the task function
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# (instead only the final constructed model object is injected)
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EXTRA_VARS = ["custom_asr", "custom_classifier", "custom_image_classifier", "custom_qa", "custom_vqa", "custom_nmt", "model_endpoint", "local_llm", "model_filename"]
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EXTRA_VARS = ["custom_asr", "custom_classifier", "custom_image_classifier", "custom_qa", "custom_vqa", "custom_nmt", "model_endpoint", "local_llm", "model_filename", "custom_llm"]
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def model_ids_to_models(kwargs: dict):

bpm-ai-connectors-c8/pyproject.toml

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[tool.poetry]
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name = "bpm-ai-connectors-c8"
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version = "1.3.5"
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version = "1.3.6"
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description = "AI connectors for Camunda 8 based on the bpm-ai project."
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authors = ["Bennet Krause <bennet.krause@holisticon.de>"]
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repository = "https://github.com/holunda-io/bpm-ai-connectors-camunda-8"

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