Releases: MessageSilo/MessageSilo
Releases · MessageSilo/MessageSilo
v1.2.28
What's Changed
🚀 Introducing the New AI-Powered Routing Feature in Message Silo!
This new capability brings intelligent, AI-powered message routing to your workflows, making your message queues smarter and more efficient than ever.
Key Features:
- Dynamic AI Routing: Automatically analyze and route messages to the appropriate target queues based on their content and context.
- Customizable Rules: Define routing logic using YAML configuration to match your specific use cases.
- AI Model Integration: Leverages advanced AI models like gpt-4o for natural language understanding and decision-making.
Example YAML definition:
kind: Target
name: ai_router
type: AI_Router
model: "gpt-4o"
apiKey: "XXXXX"
rules:
- targetName: q_complaint
condition: "When message contains complaint about something or the customer is angry."
- targetName: q_new_opp
condition: "When a message pertains to a new opportunity, a customer inquiry, or an interest in making a purchase."
Docker Image
https://hub.docker.com/r/messagesilo/messagesilo
siloctl - v1.2.28
Download
OS | Link |
---|---|
Windows | Download |
Linux | Download |
MacOS | Download |
v1.2.7
What's Changed
- Integrated UI: A user interface is now available, listening on Message Silo's default port for improved accessibility and usability.
- AI Enricher Configuration: Each AI enricher now allows users to specify individual API Key and Model settings, enabling greater flexibility and customization.
- Simplified Entity Definitions: Unnecessary fields have been removed, enhancing clarity and reducing complexity.
Docker Image
https://hub.docker.com/r/messagesilo/messagesilo
siloctl - v1.2.7
Download
OS | Link |
---|---|
Windows | Download |
Linux | Download |
MacOS | Download |