Multi-Language Metadata Generator with AI Agent

• AI-Powered Generation: Utilizes an AI agent to understand and process inputs.
• Multi-Language Output Target: Designed to generate metadata in both English (en) and Chinese (zh).
• OpenAI Integration: Leverages a powerful OpenAI chat model (gpt-4o-mini) for advanced language understanding and generation.
• SerpAPI Integration: Includes SerpAPI for potential web search capabilities to enrich data (though its specific output usage isn't detailed in the JSON).
• Conversation Memory: Incorporates a simple memory buffer to maintain context during interactions.
• Triggered by Chat Messages: Starts execution upon receiving a chat message.

1. Trigger Node (When chat message received): This node initiates the workflow. Ensure it's configured to receive your chat messages.
2. AI Agent (AI Agent): This is the core orchestrator. It receives the input from the trigger and uses the configured language model, memory, and tools.
   • Language Model (OpenAI Chat Model): Connects the AI Agent to the OpenAI API using gpt-4o-mini. Ensure your OpenAI credentials are set up.
   • Memory (Simple Memory): Connects the AI Agent to a buffer window memory to retain conversation history.
   • Tool (SerpAPI): Connects the AI Agent to SerpAPI. Ensure your SerpAPI credentials are set up. While connected, the JSON doesn't show explicit instruction on how the agent uses SerpAPI for output generation. You would typically configure the agent to use this tool for specific queries.

To achieve multi-language metadata generation, the prompt or instructions provided to the AI Agent node would need to explicitly request output in both English and Chinese, specifying the desired structure.