todogen_LLM_config.yaml

# config.yaml
mysql:
  host: todoagent-databases.mysql.database.azure.com
  port: 3306
  user: siyuwang541
  password: ToDoAgentASAP！1
  database: todoagent
  ssl_ca: DigiCertGlobalRootCA.crt.pem

openai:
  base_url: https://integrate.api.nvidia.com/v1
  api_key: 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
  model: microsoft/phi-4-mini-instruct

paths:
  base_dir: todogen_LLM
  data_dir: output
  logging_dir: todogen_logging
  result_file: result1.json
  result_json: "output/result.json" # 建议的相对路径输出
  prompt_template: "prompt_template.txt" # 添加 prompt 模板文件路径
  true_positive_examples: "TruePositive_few_shot.txt"
  false_positive_examples: "FalsePositive_few_shot.txt"

processing:
  model_name: "microsoft/phi-4-mini-instruct"
  batch_size: 8
  threads_per_batch: 3
  db_fetch_workers: 4

defaults:
  todo_status: "doing"
  urgency_status: "unimportant"

HF_CONFIG_PATH:
  token: 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

openai_filter:
  base_url_filter: https://aihubmix.com/v1
  api_key_filter: sk-BSNyITzJBSSgfFdJ792b66C7789c479cA7Ec1e36FfB343A1
  model_filter: gpt-4o-mini

xunfei:
    appid: 33c1b63d
    apikey: 40bf7cd82e31ace30a9cfb76309a43a3
    apisecret: OTY1YzIyZWM3YTg0OWZiMGE2ZjA2ZmE4

azure_speech:
    key: 45PYY2Av9CdMCveAjVG43MGKrnHzSxdiFTK9mWBgrOsMAHavxKj0JQQJ99BDACHYHv6XJ3w3AAAAACOGeVpQ
    region: eastus2
    endpoint: https://eastus2.stt.speech.microsoft.com