Architecture
A high-level overview of how the AKIOS control plane orchestrates agents, tools, and guardrails to ensure deterministic behavior.
System Overview#
AKIOS sits between your application and the LLM providers. It acts as a Governance Layer that intercepts every prompt and completion to ensure safety, auditability, and correctness.
Request Lifecycle#
- 1
Ingress & Auth
The request hits the API. We validate the API key and check rate limits associated with the tenant.
- 2
Input Rails
The prompt is scanned for PII, injection attacks, and policy violations. If a violation is found, the request is rejected immediately with a 400 error.
- 3
Context Injection
Relevant memories and RAG context are fetched from the vector store and injected into the system prompt.
- 4
Output Rails & Logging
The response is validated against the schema. If valid, it's returned to the user and logged asynchronously for analytics.
Deployment & Scalability#
Akios is designed to be stateless at the compute layer. All state is offloaded to external stores (Redis/Postgres), making it easy to scale horizontally.
Compute (Node.js/Edge)
Run the agent loop. Can be deployed on Vercel, AWS Lambda, or Docker. No sticky sessions required.
State Store (Redis)
Stores conversation history and tool outputs. Critical for "Human-in-the-loop" pauses where an agent might sleep for days.