Production AI
Production AI refers to the deployment, management, and governance of ai-agents and large language models in live, operational environments. Unlike experimental or sandboxed AI, production systems require robust security, Observability, and deterministic control mechanisms to ensure reliability and safety.
Key Challenges
- Security & Control: Preventing unauthorized actions, data leakage, and prompt injection.
- Visibility: Monitoring agent behavior, decision paths, and resource usage in real-time.
- Reliability: Ensuring consistent performance and error handling under variable loads.
Solutions & Tools
Archest.AI
Archest.AI: Secure Control and Visibility for Production AI Agents
Archest.AI is an open-source enterprise platform designed to address security and visibility gaps in production AI deployments.
- Core Functionality: Provides secure control planes and visibility layers for running AI agents.
- Integration: Compatible with local inference engines like ollama.
- Background: Developed by a team with prior experience in high-availability monitoring tools (e.g., Grafana On-Call).
- Use Case: Enables enterprises to define strict boundaries on what AI agents can do, ensuring compliance and safety.
Related Concepts
- ai-agent
- LLM Ops
- Prompt Injection
- Observability