Anthropic Computer Use
Anthropic computer use is fully supported in Portkey. For more information on the computer use tool, please refer to the Anthropic documentation.
Usage
Portkey Features
Now that you have enterprise-grade Anthropic Computer Use setup, let’s explore the comprehensive features Portkey provides to ensure secure, efficient, and cost-effective AI-assisted development.
1. Comprehensive Metrics
Using Portkey you can track 40+ key metrics including cost, token usage, response time, and performance across all your LLM providers in real time. Filter these metrics by developer, team, or project using custom metadata.
2. Advanced Logs
Portkey’s logging dashboard provides detailed logs for every request made by Anthropic Computer Use. These logs include:
- Complete request and response tracking
- Code context and generation metrics
- Developer attribution
- Cost breakdown per coding session
3. Unified Access to 250+ LLMs
Easily switch between 250+ LLMs for different coding tasks. Use GPT-4 for complex architecture decisions, Claude for detailed code reviews, or specialized models for specific languages - all through a single interface.
4. Advanced Metadata Tracking
Track coding patterns and productivity metrics with custom metadata:
- Language and framework usage
- Code generation vs completion tasks
- Time-of-day productivity patterns
- Project-specific metrics
Custom Metadata
5. Enterprise Access Management
Budget Controls
Set and manage spending limits per developer or team. Prevent budget overruns with automatic cutoffs.
Single Sign-On (SSO)
Enterprise-grade SSO integration for seamless developer onboarding and offboarding.
Organization Management
Hierarchical structure with teams, projects, and role-based access control for development organizations.
Access Rules & Audit Logs
Comprehensive audit logging for security compliance and code generation tracking.
6. Reliability Features
Fallbacks
Automatically switch between models if one fails, ensuring uninterrupted coding.
Conditional Routing
Route requests based on code complexity or language requirements.
Load Balancing
Distribute requests across multiple API keys or providers.
Caching
Cache common code patterns to reduce costs and improve response times.
Smart Retries
Automatic retry handling for failed requests with exponential backoff.
Budget Limits
Enforce spending limits to control development costs.
7. Advanced Guardrails
Protect your codebase and enhance security with real-time checks on AI interactions:
- Prevent exposure of API keys and secrets
- Block generation of malicious code patterns
- Enforce coding standards and best practices
- Custom security rules for your organization
- License compliance checks
Guardrails
Implement real-time protection for your development environment with automatic detection and filtering of sensitive code, credentials, and security vulnerabilities.
FAQs
Next Steps
Join our Community
For enterprise support and custom features for your development teams, contact our enterprise team.