Arch

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Arch is an intelligent prompt gateway. Engineered with (fast) LLMs for the secure handling, robust observability, and seamless integration of prompts with APIs - all outside business logic. Built by the core contributors of Envoy proxy, on Envoy.0
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What is Arch?

Arch is an intelligent Layer 7 gateway built on Envoy Proxy. It's designed to enhance the security, observability, and personalization of Large Language Model (LLM) applications like AI agents, assistants, and co-pilots by managing interactions with APIs. Arch handles essential prompt-related tasks such as jailbreak detection, API integration for fulfilling user requests, LLM routing, and centralized observability, allowing developers to focus on core application logic.

Key Features:

  1. Envoy Foundation: 🏗️ Built on Envoy Proxy, Arch leverages its robust HTTP management, filtering, and telemetry features for efficient handling of prompt and LLM traffic. This ensures scalability and reliability, benefiting from Envoy's widespread adoption and proven performance.

  2. Fast LLM Processing: 🚄 Arch utilizes specialized, smaller LLMs optimized for speed and cost-effectiveness in core prompt-related tasks. These include crucial functions like function/API calling and extracting parameters from user prompts, enabling rapid and efficient application responses.

  3. Prompt Guard: 🛡️ Arch provides centralized prompt guardrails, acting as a security layer to prevent malicious attempts (like jailbreaks) and ensure safe user interactions. This eliminates the need for developers to write custom code for each potential threat, simplifying development and enhancing security.

  4. Traffic Management: 🚦 Arch efficiently manages LLM calls, incorporating features like smart retries for handling errors, automatic cutover between LLMs for continuous availability, and resilient upstream connections. This ensures smooth operation and minimizes disruptions in case of individual LLM issues.

  5. Comprehensive Observability: 📊 Arch leverages the W3C Trace Context standard for comprehensive request tracing across applications, offering compatibility with various observability tools. It also provides detailed metrics on latency, token usage, and error rates, empowering developers to monitor and optimize AI application performance effectively.

Use Cases:

  1. Building a secure customer service chatbot that interacts with a billing API to answer questions about invoices.

  2. Creating a personalized travel agent that uses prompts to query flight and hotel APIs and suggests itineraries based on user preferences.

  3. Developing an AI-powered research assistant that can access and summarize information from various academic databases using natural language prompts.

Conclusion:

Arch empowers developers to build faster, more secure, and highly personalized LLM applications by offloading critical but undifferentiated tasks related to prompt handling and LLM interactions. By leveraging Arch, developers can focus on core application logic, leading to faster development cycles and improved user experiences. If you're looking to enhance the performance, security, and personalization of your GenAI applications, Arch is the solution you need.



More information on Arch

Launched
2024-09
Pricing Model
Free
Starting Price
Global Rank
6003026
Follow
Month Visit
<5k
Tech used
Google Cloud Platform,HTTP/3,Google Cloud Storage

Top 5 Countries

100%
United States

Traffic Sources

92.54%
2.52%
2.52%
2.05%
0.36%
0.01%
Direct Search Social Referrals Paid Referrals Mail
Arch was manually vetted by our editorial team and was first featured on 2024-10-21.
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