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                                            Mr. Jack Tung

Using a custom embedder

I try this way: File: manager.py ... from transformers import AutoTokenizer encoding = AutoTokenizer.from_pretrained("sentence-transformers/all-MiniLM-L6-v2") "# encoding = tiktoken.encoding_for_model("gpt-3.5-turbo") # replace this code" ... item_tokens = encoding.encode(item_dict["content"], add_special_tokens=False) ... "# If...

i am using a google gemini-2.5-flash-preview-05-20 and i set the api keys and also selected chatmodel as gemini-2.5-flash-preview-05-20 but still getting an api error and also tried with ollama but still getting same

I use `gemini-2.5-flash-preview-05-20` with limit RPM = 10 is ok !

`code_save_tool.py` a great custom tool ^^

create file save_file.py, and upload to "/a0/python/tools/save_file.py" run container in docker, then agent could using it ^^ ``` #!/usr/bin/env python3 # save_file.py # This tool is designed to help agent...