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db_diag Tool

Contributor: Xuanhe Zhou

API Functions

  • obtain_start_and_end_time_of_anomaly: fetch the time period of an anomaly
  • whether_is_abnormal_metric: examine whether the values of the input metric appear to be abnormal. //todo: add classic anomaly detection algorithms
  • xxx_diagnosis_agent: diagnose the root causes of the abnormal metrics in specific region (e.g., memory/cpu problems)

Setup

  1. Follow the steps in main readme

  2. Configure the adopted LLM model in the 84th line of ../../agent/singletool.py, e.g.,

    self.llm = OpenAI(model_name="gpt-3.5-turbo", temperature=0.0, openai_api_key=key)

  1. Modify the settings in config.ini, and rename config.ini into my_config.ini

  2. Modify and run the test.py script to test the tool