Dynamically switch between LLMs Template

This workflow is designed for:

• Customer Support Teams: To efficiently handle customer complaints and provide timely responses using various language models.
• Developers: Who wish to integrate multiple AI language models dynamically without hardcoding.
• Business Analysts: Looking to analyze sentiment and quality of customer interactions.
• Product Managers: Interested in improving customer satisfaction through automated responses.

This workflow addresses the challenges of:

• Handling Diverse Customer Complaints: By dynamically selecting the most suitable AI language model to respond to varied customer queries.
• Response Quality Assurance: Ensuring that generated responses meet specific criteria for quality and sentiment.
• Error Management: Providing mechanisms to handle errors gracefully and continue processing without interruption.

1. Trigger: The workflow begins when a chat message is received.
2. Set LLM Index: It initializes the index of the language model to be used.
3. Generate Response: The workflow generates a response based on the customer’s complaint using the selected AI model.
4. Validate Response: The generated response is analyzed for quality and sentiment.
5. Error Checking: The workflow checks for expected errors and handles them appropriately.
6. Return Result: Finally, the workflow returns the generated response or an error message if applicable.