How to implement prompt engineering and API calls for AI agents efficiently?

Implement prompt engineering and API calls for AI agents efficiently using Archgw

This task can be performed using Archgw

Build fast, hyper-personalized agents with AI-native infrastructure

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Archgw

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Arch is an intelligent infrastructure primitive to help developers build fast, personalized agents in mins. Arch is a proxy for agents engineered with LLMs to seamlessly integrate prompts with APIs, and to transparently add safety and tracing features outside app logic

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What to expect from an ideal product

  1. Sets up a proxy layer that handles prompt-to-API mapping, saving developers from writing repetitive code
  2. Offers built-in templates and patterns for common agent-API interactions, making implementation quick and clean
  3. Handles safety checks and logging automatically, keeping the main code focused on core functionality
  4. Makes prompt engineering modular by separating it from business logic, allowing easy updates and testing
  5. Reduces development time by providing ready-made connectors between LLM responses and external API calls

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