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# 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 |