Enterprise Features
Approved Models
Control which AI models your organization can access with centralized approval management
Approved Models provide organization-level control over which AI models your team members can access, ensuring compliance, cost control, and strategic model usage across your organization.
The Approved Models system ensures your organization maintains control over AI model access while enabling teams to work effectively with pre-approved, cost-effective model choices.
Overview
Approved Models create a curated whitelist of AI models that your organization’s members can use, separate from the full catalog of available models. This enterprise feature gives administrators complete control over model access while providing transparency around capabilities and costs.What Approved Models Do
Access Control
Control which models are available to your organization members
Cost Management
Monitor and control spending by limiting model selection
Compliance
Ensure only approved models are used for sensitive workflows
Strategic Control
Align model usage with organizational AI strategy
How Approved Models Work
Two-Tier Model System
All Models View:- Complete catalog of hundreds of available models
- Full provider ecosystem (OpenAI, Anthropic, Azure, etc.)
- Available for admin review and selection
- Organization’s curated whitelist
- Only models approved by administrators
- Default view for regular organization members
Model Information Display
Each model in the system shows comprehensive details:- Provider: OpenAI, Anthropic, Azure, Google, etc.
- Location: Geographic region (us-east-1, eu-west-1) or Global
- Capabilities: Caching, Reasoning, Training data usage policies
- Pricing: Input/output token costs per million tokens
- Context Window: Maximum token limit for requests
- Model ID: Structured format like
openai/gpt-4oranthropic/claude-3-sonnet
Admin Model Management
Adding Models to Approved List
1
Access Admin Panel
Navigate to Admin Panel → Models Management tab
2
Add New Model
Click “Add Model” to start the approval process
3
Select Provider
Choose from available providers (OpenAI, Anthropic, etc.)
4
Choose Location
Select geographic region or Global deployment
5
Pick Model
Select specific model from filtered list based on provider/location
6
Confirm Addition
Model gets added to organization’s approved list
Model Management Interface
Searchable Model Table:- View all currently approved models
- Search and filter by provider, capabilities, or pricing
- Sort by various criteria (cost, context window, etc.)
- Quick access to model details and removal options
- Easy removal of models from approved list
- Immediate effect on organization access
- Audit trail of approval changes
User Experience
Model Selection for Users
Default Behavior:- Users see only approved models by default
- Clean, curated list for everyday use
- No access to non-approved models in API policies
- Users can toggle to see full catalog
- Helpful for understanding available options
- Cannot actually use non-approved models
API Key Integration
Approved Models integrate seamlessly with your existing API key system: Access Flow:- Admin approves specific models
- Approved models appear in API key policy options
- Users can only select from approved models when configuring keys
- API requests restricted to approved model set
Cost and Usage Control
Spending Visibility
Organization-Level Tracking:- Monitor spending per approved model
- Track usage patterns across teams
- Identify high-cost models and usage trends
- Understand cost implications before approval
- Plan model strategy based on pricing tiers
- Optimize model mix for cost efficiency
Strategic Benefits
Compliance & Governance
Compliance & Governance
Regulatory Control:
- Ensure only compliant models are used for sensitive data
- Maintain audit trails of model approvals
- Control data processing locations through geographic model selection
- Implement consistent AI governance policies
Cost Optimization
Cost Optimization
Financial Management:
- Prevent usage of expensive models without approval
- Track and allocate costs per model type
- Optimize model selection for different use cases
- Plan budgets based on approved model pricing
Performance Strategy
Performance Strategy
Capability Management:
- Standardize on proven, high-performing models
- Control access to experimental or beta models
- Ensure consistent quality across organization
- Plan model upgrades and migrations strategically
Future Expansions
Project-Level Controls
The Approved Models system is designed to expand with more granular controls:- Per-Project Approval: Different approved models for different projects
- Group-Specific Models: Tailored model access per team or department
- Role-Based Access: Different model tiers based on user roles
- Temporal Controls: Time-limited model approvals for testing
Advanced Features Coming Soon
Enhanced Management:- Bulk model approval workflows
- Model approval requests from users
- Automatic model updates and notifications
- Integration with external approval systems
Best Practices
Start Conservative
Begin with a small set of well-tested models and expand based on proven needs
Monitor Usage
Regularly review which approved models are actually being used by your teams
Cost Awareness
Consider both capability and cost when approving models for organization use
Regular Review
Periodically review and update your approved models list as new models become available
Integration with Other Features
Works With Users & Groups
- User Management: Individual users see only approved models
- Group Controls: Groups can access approved models based on API key assignments
- Spending Limits: User and group spending limits apply to approved model usage
API Key Policies
- Only approved models appear in policy configuration
- Fallback chains can only use approved models
- Load balancing limited to approved model set
Approved Models provide the foundation for sophisticated AI governance while maintaining ease of use for your organization’s day-to-day
operations.