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UsageGuard

4.4
💬27
💲Free

UsageGuard is a comprehensive platform that enables developers to build, monitor, and secure AI applications. It provides tools for managing AI models, controlling costs, and tracking usage, all while ensuring compliance and security. Its unified API simplifies integration with multiple AI providers, making it easier to manage complex AI workflows.

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Platform
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AI AnalyticsAI Development PlatformAI GovernanceAI MonitoringAI SecurityCost ControlLLM Integration

What is UsageGuard?

UsageGuard is a platform designed for building and monitoring AI applications with a focus on security, cost control, and tracking. It allows developers to access open-source and third-party AI models, including OpenAI, Meta, and Anthropic, while providing built-in safeguards, moderation, and usage tracking. The platform supports real-time monitoring, session management, and enterprise-grade security, making it ideal for organizations looking to manage their AI infrastructure efficiently.

Core Technologies

  • AI Security
  • LLM Integration
  • Real-time Monitoring
  • Enterprise-grade Security
  • Prompt Management

Key Capabilities

  • AI Security
  • Cost Control
  • Usage Tracking
  • Unified API for multiple LLMs
  • Real-time Monitoring and Analytics
  • Enterprise-grade Security and Compliance

Use Cases

  • Building AI applications with access to multiple AI models through a single endpoint.
  • Monitoring AI application performance and tracking usage patterns.
  • Implementing security controls and compliance tools for AI applications.
  • Optimizing AI costs by tracking usage and setting budgets.

Core Benefits

  • Comprehensive platform for AI development and observability
  • Supports multiple LLM integrations
  • Provides security and compliance features
  • Offers cost control and usage tracking
  • Easy integration with existing infrastructure

Key Features

  • AI Security
  • Cost Control
  • Usage Tracking
  • Unified API for multiple LLMs
  • Real-time Monitoring and Analytics
  • Enterprise-grade Security and Compliance

How to Use

  1. 1
    Integrate UsageGuard with your application by updating your API endpoint.
  2. 2
    Include your UsageGuard API key and connection ID in your inference requests.
  3. 3
    Access various AI models through the unified API and manage security policies.
  4. 4
    Monitor AI application performance and track usage patterns in real time.
  5. 5
    Set up cost controls and security policies to optimize AI usage.

Frequently Asked Questions

Q.How does UsageGuard work?

A.UsageGuard acts as an intermediary between your application and LLM, handling API calls, applying security policies, and managing data flow to ensure safe and efficient use of AI language models.

Q.Which LLM providers does UsageGuard support?

A.UsageGuard supports major LLM providers including OpenAI (GPT models), Anthropic (Claude models), Meta Llama and more. The list of supported providers is continuously expanding, check the docs for more details.

Q.Will I need to change my existing code to use UsageGuard?

A.Minimal changes are required. You'll mainly need to update your API endpoint to point to UsageGuard and include your UsageGuard API key and connection ID in your unified inference requests, see quickstart guide in our docs for more details.

Q.Can I use multiple LLM providers through UsageGuard?

A.Yes, UsageGuard provides a unified API that allows you to easily switch between different LLM providers and models without changing your application code.

Q.Does using UsageGuard affect performance?

A.UsageGuard introduces minimal latency, typically ranging from 50-100ms per request. For most applications, this slight increase is negligible compared to the added security and features.

Pros & Cons (Reserved)

✓ Pros

  • Comprehensive platform for AI development and observability
  • Supports multiple LLM integrations
  • Provides security and compliance features
  • Offers cost control and usage tracking
  • Easy integration with existing infrastructure

✗ Cons

  • May introduce minimal latency (50-100ms)
  • Requires updating API endpoints
  • Potential learning curve for setting up security policies

Alternatives

No alternatives found.