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
All Models View:- Complete catalog of hundreds of available models
- Full provider ecosystem (OpenAI, Anthropic, Azure, etc.)
- Available for admin review and selection
- Default models available to use for organization members
- Immediately accessible unless restricted by group settings
- Curated list of models that group admins can choose to enable for their groups
- Not enabled for use organization-wide
- Group admins can enable models from both the Enabled and Available lists for their specific groups
- Provides flexibility for teams with different model requirements
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
Managing Enabled and Available Models
The Models Management tab provides two separate lists for organization-level model control: Enabled Models Tab:- Models that all organization members can use by default if not restricted by group settings
- Models that can be enabled by group admins for their specific groups
- Not enabled organization-wide by default
- Group admins can choose models from both Enabled and Available lists when configuring their groups
- Provides granular control for teams with different requirements
Adding Models
1
Access Admin Panel
Navigate to Admin Panel → Models Management tab
2
Choose List Type
Select either “Enabled Models” or “Available Models” tab
3
Add New Model
Click “Add Model” to start the approval process
4
Select Provider
Choose from available providers (OpenAI, Anthropic, etc.)
5
Choose Location
Select geographic region or Global deployment
6
Pick Model
Select specific model from filtered list based on provider/location
7
Confirm Addition
Model gets added to the selected list (Enabled or Available)
Model Management Interface
Searchable Model Tables:- View all models in each list (Enabled or Available)
- 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 either list
- Immediate effect on organization and group access
- Models cannot be removed if currently enabled in any group
- 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:- Organization admin adds models to either Enabled or Available lists
- Enabled models are immediately available to all organization members
- Group admins can enable models from both the Enabled and Available lists for their specific groups
- Users can only select from enabled models (organization-wide or group-specific) when configuring API keys
- API requests restricted to the enabled 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
- 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 enabled models (organization-wide or group-specific)
- Group Controls: Group admins can enable models from both the Enabled and Available lists for their groups
- Model Selection: Groups can only enable models that are in the organization’s Enabled or Available lists
- Flexible Configuration: Enabled models are available by default, but group admins can also choose from Available models or restrict Enabled models at the group level
- Spending Limits: User and group spending limits apply to enabled model usage
API Key Policies
- Only enabled models appear in policy configuration
- Models must be enabled at the organization or group level to be used
- Fallback chains can only use enabled models
- Load balancing limited to enabled model set
Approved Models provide the foundation for sophisticated AI governance while maintaining ease of use for your organization’s day-to-day
operations.