Zero-Hallucination Reverse Proxies for AI DevOps: Building a Caddyfile Connector for Cognee

Description and use

Connecting Caddyfile to Cognee lets AI agents retrieve accurate routing data, reducing configuration hallucinations.

Problem

AI DevOps agents can generate plausible Caddyfile configurations without knowing the actual infrastructure, leading to port confusion, incorrect path matching, header handling mistakes, and TLS misconfigurations.

Outcome

By ingesting Caddyfile routing data into Cognee, AI DevOps agents can retrieve accurate configuration context, reducing hallucinations and improving the safety of suggested infrastructure changes.

Workflow

• Install Cognee and the Caddy connector via pip
• Create a project directory with a Caddyfile and a Python script
• Define routes in the Caddyfile (e.g., api.company.com with @api and @analytics matchers)
• Use the connector to parse the Caddyfile and ingest data into Cognee
• Query Cognee with natural language questions to retrieve routing details

Evidence

An AI agent can generate a plausible configuration without knowing how your infrastructure is actually configured.

Source

The goal is to make Caddy configuration available through Cognee's knowledge and retrieval workflow, helping AI agents access relevant routing context before recommending infrastructure changes.

Source

Install Cognee and the connector: pip install cognee cognee-community-connector-caddy

Source