hwhkit 1.0.5

Packaging tools for own use

hwhkit

Main function

• Connection
  • mqtt
• llm

Connection

Mqtt

from hwhkit import MQTTAsyncClient, mqtt_subscribe
import asyncio

# Config MQTT Client
client = MQTTAsyncClient(broker="broker.hivemq.com", port=1883, client_id="my_client")
client.start()


@mqtt_subscribe("topic/test1")
async def handle_message_1(message: str):
    print(f"Received message from topic 1: {message}")

@mqtt_subscribe("topic/test2")
async def handle_message_2(message: str):
    print(f"Received message from topic 2: {message}")

async def send_messages():
    while True:
        await asyncio.sleep(2)
        client.publish("topic/test1", "Hello from topic 1!")
        client.publish("topic/test2", "Hello from topic 2!")

async def main():
    await asyncio.gather(
        send_messages(),
        asyncio.sleep(3600) 
    )

if __name__ == '__main__':
    asyncio.run(main())

LLM

Three steps to use models

Step1, llm_config.yaml

matter that needs attention

1. A_custom_model_name used for models.get_model_instance()
2. A_custom_model_name.name should specify the name of the model supported by the current company

models:
  openai:
    A_custom_model_name:
      name: "gpt-4o"
      short_name: "OIG4"
      company: "openai"
      max_input_token: 8100
      max_output_token: 2048
      top_p: 0.5
      top_k: 1
      temperature: 0.5
      input_token_fee_pm: 30.0
      output_token_fee_pm: 60.0
      train_token_fee_pm: 0.0
      keys:
        - name: "openai_key1"
        - name: "openai_key2"

  siliconflow:
    qw-72b-p:
      name: "Qwen/QVQ-72B-Preview"
      short_name: "QW-72B-P"
      company: "siliconflow"
      max_input_token: 8100
      max_output_token: 2048
      top_p: 0.5
      top_k: 1
      temperature: 0.5
      input_token_fee_pm: 30.0
      output_token_fee_pm: 60.0
      train_token_fee_pm: 0.0
      keys:
        - name: "siliconflow_1"

Step2, llm_keys.yaml

1. The keys name of the model in llm_config.yaml corresponds to llm_keys.yaml one by one

keys:
  openai_key1: "xx"
  openai_key2: "xx"
  anthropic_key1: "your_anthropic_api_key_1"
  anthropic_key2: "your_anthropic_api_key_2"

Step3, load models

from hwhkit.llm.config import load_models_from_yaml


async def main():
    models = load_models_from_yaml(config_file="llm_config.yaml", keys_file="llm_keys.yaml")
    print(models.list_models())

    resp = await models.get_model_instance("gpt-4o").chat("who r u?")
    print(resp)


if __name__ == '__main__':
    import asyncio
    asyncio.run(main())