Proxle

AutoML Platforms

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This platform offers a extensive solution for managing and optimizing large language model (LLM) development and deployment, focusing on reducing API costs, enhancing observability, and streamlining debugging processes for developers working with multiple providers. Its key features include smart caching that significantly cuts expenses, detailed request logging and search capabilities for troubleshooting, cost attribution per feature and user to monitor spending, and support for multiple LLM providers through easy, minimal code integration. It addresses common challenges such as high API costs due to repeated requests, difficulty in measuring feature-specific expenses, debugging complex request-response issues, and managing multi-provider workflows, making it ideal for developers, data scientists, and AI teams aiming to improve operational efficiency and cost management in AI application development.

Proxle can be found in AutoML Platforms categories.

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Proxle Main Features

• Easy Setup
  You can start using the platform in just 2 lines of code with a simple setup process.
• Cost Tracking
  Shows how much each feature and user is costing in real time.
• Smart Caching
  Automatically saves and reuses common requests to save up to 70% on costs.
• Request Replay
  You can resend logged requests to debug issues and compare responses.
• Request Logging
  Records full request and response data so you can see exactly what happened.
• Request Routing
  Your API calls go through Proxle, which logs, caches, and forwards them to the provider.
• Easy Integration
  Replace your current import statements with Proxle's SDK in just two lines of code.
• Real-Time Dashboard
  Provides a dashboard that shows costs, cache hits, and logs instantly.
• User-Friendly Features
  Designed by developers to make it easier to develop and debug large language models.
• Supports Multiple Providers
  Works with many AI providers like OpenAI, Anthropic, Cohere, Google Gemini, and Azure OpenAI.

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