v1.2: Orchestrated with Gemini 1.5 Flash

The Orchestration Layer for Autonomous Support

SLAgent is an enterprise-grade AI middleware that bridges the gap between raw LLMs and strict Service Level Agreements.

Production Node: us-east-1

Waiting for Ingestion

Architected with the modern AI Stack

Next.js 15
Genkit
Firebase
Gemini 1.5
How it Works

Beyond Chatbots:
Autonomous Workflows.

SLAgent transforms raw customer intent into policy-compliant responses using a multi-stage reasoning pipeline.

Classification Node

Determines priority and system impact using zero-shot reasoning.

RAG Retriever

Semantic lookup of specific SLA terms in your legal knowledge base.

Synthesis Engine

Generates professional, compliant drafts using context-aware LLMs.

>POST /v1/orchestrate

{

"customer": "enterprise-tier",

"issue": "api_500_critical",

"compliance": "SLA_15_MIN_RESP"

}

ReasoningCOMPLETED
"Detected P0 system outage. Retrieving Enterprise SLA Schedule 4. Requirement: Response within 15m. Credits: 20% on failure."

Built for Critical Operations

Every feature is designed to provide maximum transparency and control over your AI agents.

Deep Observability

Trace every 'Chain of Thought'. See exact latency, token costs, and node logic paths.

RAG Governance

Ensure your AI never hallucinates by anchoring every response in your verified legal docs.

No-Code Control Plane

Update system prompts and model versions instantly without redeploying code.

Global Compliance

Automatically adjust response tone and timing based on the customer's region and tier.

Financial ROI Guard

Calculate potential SLA credit savings in real-time as the AI processes tickets.

Dev-First API

Simulate any scenario in our Playground before pushing to your production node.