Spring AI with QIANFAN

This project is a Spring Boot application that demonstrates the integration of an AI chat client using the Spring AI framework. The application provides several endpoints to interact with the AI chat client.

Project Structure

• Java: The primary programming language used.
• Maven: Build and dependency management tool.
• Spring Boot: Framework for building the application.

Configuration

application.yml

The application.yml file contains the configuration for the server and the AI chat client, including retry settings and API keys.

server:
  port: 8888
spring:
  ai:
    retry:
      max-attempts: 3
      backoff:
        initial-interval: 5000ms
        multiplier: 5
        max-interval: 180000ms
      on-client-errors: true
    qianfan:
      api-key: YOUR_API_KEY
      secret-key: YOUR_SECRET_KEY
      chat:
        enabled: true
        options:
          model: yi_34b_chat
          temperature: 0.7
          top-p: 0.9

Endpoints

/chat/ai/simple

Returns a simple chat completion.

• Method: GET
• Parameters: message (default: "给我讲个笑话")
• Response: JSON with the completion message.

/chat/ai/simple2

Returns a chat completion with a specified voice.

• Method: GET
• Parameters: message (default: "给我讲个笑话"), voice
• Response: JSON with the completion message.

/chat/ai/stream

Streams the chat completion.

• Method: GET
• Parameters: message (default: "给我讲个笑话"), voice
• Response: Text event stream.

/chat/ai/actor

Generates the filmography for a random actor.

• Method: GET
• Parameters: message (default: "Generate the filmography for a random actor")
• Response: JSON with the actor's filmography.

/chat/ai/actor2

Generates the filmography of 5 movies for Tom Hanks and Bill Murray.

• Method: GET
• Parameters: message (default: "Generate the filmography of 5 movies for Tom Hanks and Bill Murray.")
• Response: JSON with the filmographies.

/chat/ai/actor3

Generates the filmography for a random actor with a custom format.

• Method: GET
• Parameters: message (default: "Generate the filmography for a random actor.")
• Response: JSON with the actor's filmography.

/chat/ai/context

Maintains a conversation context with the AI.

• Method: GET
• Parameters: prompt
• Response: The AI's response message.

Running the Application

1. Clone the repository.
2. Update the application.yml file with your API key and secret key.
3. Build the project using Maven:

   mvn clean install
   
4. Run the application:

   mvn spring-boot:run
   

License

This project is licensed under the MIT License.