Self-Hosted Evaluation
Deploy RADAR in your infrastructure, connect it beside your existing agent stack, and validate evidence collection — all self-hosted, no data leaves your boundary.
Prerequisites
Infrastructure
- Docker Engine 24+
- 8GB RAM minimum
- 50GB available storage
- Linux x86_64 or ARM64
Integration target
- LLM gateway access (logs or stream)
- Agent tool activity feed
- Optional: SIEM or data warehouse
RADAR does not require modifying your agent code, replacing your workflow engine, or routing traffic through a cloud service.
Deploy RADAR
RADAR ships as a single Docker image.
docker run -d \
--name radar \
-p 8080:8080 \
-v radar-data:/data \
-e RADAR_LICENSE_KEY=eval-xxxx \
akioudai/radar:latest
Connect to your stack
Point RADAR at your LLM gateway logs, tool activity streams, or agent telemetry. RADAR begins recording traces, policy findings, and PII signals immediately.
docker exec radar radar sources add \
--type gateway \
--endpoint https://your-gateway.internal \
--format openai
Review evidence
Open the RADAR dashboard at http://localhost:8080 to inspect evidence records.
- Name
Traces- Description
Reconstruct agent sessions: prompts, tool calls, LLM responses, and decision points in chronological order.
- Name
Findings- Description
Review PII exposure, policy violations, missing approvals, cost anomalies, and unresolved exceptions.
- Name
Export bundles- Description
Package selected evidence into regulator-ready export files with control mappings and retention metadata.
Export evidence
Generate a regulator-ready evidence pack. Includes traces, findings, control mappings, and retention attestations.
docker exec radar radar export \
--from "2026-04-27" --to "2026-05-04" \
--format json --output /data/export.json