aagzamov/support_router_ai
The aagzamov/support_router_ai is a 0.5 billion parameter causal language model designed for support ticket routing. This merged model classifies support requests into a structured JSON format, identifying category, priority, team, human intervention needs, and a short action. It is specifically optimized for support intake triage and ticket routing assistance, providing structured outputs for customer support workflows.
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Overview
The aagzamov/support_router_ai is a 0.5 billion parameter causal language model specifically developed for automated support ticket routing. Unlike general-purpose LLMs, this model is fine-tuned to classify support requests into a predefined JSON structure, making it highly specialized for customer service operations.
Key Capabilities
- Structured Output: Generates support ticket classifications in a consistent JSON format, including
category,priority,team,needs_human(boolean), andshort_action. - Support Intake Triage: Automates the initial assessment and categorization of incoming support requests.
- Ticket Routing Assistance: Helps direct tickets to the appropriate teams or departments based on their content.
- Priority Suggestion: Can suggest priority levels for support workflows, streamlining response times.
- Merged Model Artifact: Provided as a fully merged model, not a PEFT adapter, ensuring straightforward inference with
transformers.
Good For
- Automating the first line of support for customer service platforms.
- Integrating into existing helpdesk systems for intelligent ticket distribution.
- Reducing manual effort in categorizing and prioritizing support inquiries.
Limitations
- Output quality is dependent on the prompt format and the data used during fine-tuning.
- May occasionally produce malformed JSON, necessitating a parser fallback mechanism in production environments.