⚙ 1. Penguin AI Core
Model
Ready
Inference
Context Window128K tokens
Reasoning Mode
Temperature
0.35
Permission Scope
Project A (~/code/project-a)
Latency Target
2. System-wide AI Integration
3. Action Policies
Capability
Risk
Approval Level
Suggest & Explain
Low
Refactor Code
Medium
Execute Safe Commands
Medium
Run Package Installs
High
Manage System Services
High
Edit Files
Medium
Access Containers
High
Schedule Tasks / Cron
Medium
Policy Preset
4. Memory & Knowledge
Retention (Global)
90 days
Workspace Memory
24.6 GB
Project Embeddings
15.2 GB
Knowledge Vault
8.1 GB
Per-project Context Quota
8 GB
Auto-prune Threshold75%
5. Privacy & Trust Boundary
Redaction Rules
Secret Detection
Telemetry Level
Audit LogsLog all AI actions
Signed Model UpdatesVerify model signatures
6. Automation / Agents
Agent
Status
Schedule
CPU Cap
Memory Cap
Package Auditor
Running
Daily
15%
512 MB
Doc Indexer
Idle
Hourly
10%
1 GB
Service Healer
Running
On Event
20%
512 MB
Backup Planner
Idle
Daily
5%
256 MB
Code Assistant
Running
Always
25%
1 GB
7. Preview & Behavior
AI Assistant
Hello! How can I help you with your project today?
Ask anything...
Personality
Verbosity
Tone
Response Mode
Keyboard Shortcut
Ctrl + K
Voice
Disabled
Notification Style
Theme Match
8. Observability
Token Usage (24h)+12%
1.24M tokens
Inference Latency (p95)-5%
142 ms
Memory Footprint+5%
6.8 GB
Model Cache Hit Rate+7%
92%
Recent ActionsView All Activity >
Code refactor in main.go
2m ago
Approved
Install rpackages libxml2
15m ago
Approved
Edit file /etc/nginx/nginx.conf
1h ago
Approved
9. Workspace Time Travel
Capture and restore complete workspace states.
Snapshots: 12
10. Semantic Permissions
Grant permissions by domain or project.
Active Domains: 5
11. Adaptive Resource Budgeting
Scale AI resources with system conditions.
Mode
Max Compute Budget
70%
12. Explainability
Inspect, replay, and justify all AI actions.
Verified Actions (7d): 342
13. Model Routing
Route requests to best available model.
Active Routes: 3