.png)
January 3, 2025
The development and integration of AI agents into existing systems presents developers with new challenges. Security, efficient routing, detailed monitoring, and seamless integration with APIs are just some of the points that need to be considered. Arch Gateway, an open-source project by Katanemo, addresses precisely these challenges and offers an intelligent solution for handling prompts and LLMs.
Arch Gateway is based on Envoy Proxy and utilizes its proven capabilities in HTTP management and scalability. It acts as a separate, containerized process alongside the application servers and handles the processing of incoming and outgoing prompts as well as communication with LLMs. A central element of Arch is the use of specialized LLMs, which are optimized for fast and cost-effective processing of prompt-based tasks.
Arch Gateway offers a range of features that simplify and optimize the development and operation of AI agents:
Function Calls for Fast Agents and RAG Applications: By using specialized LLMs, Arch Gateway enables fast and precise function calls and the extraction of parameters from prompts. This is particularly useful for agent-based applications and Retrieval Augmented Generation (RAG).
Prompt Guard: Arch Gateway offers integrated protection mechanisms to prevent jailbreak attempts and ensure secure user interactions without requiring developers to write additional code.
Routing & Traffic Management: Arch Gateway manages LLM calls, provides intelligent retry mechanisms in case of errors, automatic failovers, and robust upstream connections for continuous availability.
Observability: Arch Gateway uses the W3C Trace Context Standard for comprehensive request tracing across different applications. This ensures compatibility with common monitoring tools. Additionally, Arch provides metrics for monitoring latency, token usage, and error rates to optimize the performance of AI applications.
The integration of Arch Gateway is done via a configuration file, in which LLM providers, prompt destinations, protection mechanisms, and other parameters are defined. Communication with the gateway is done via the OpenAI Chat Completion API. An example of using Arch Gateway is the creation of a currency conversion agent that retrieves current exchange rates via an API and presents them to the user.
Arch Gateway is under active development, and the project's roadmap shows ambitious goals. Planned features include the expansion of security features, support for additional LLM providers, and improvement of monitoring capabilities. The community plays an important role in the further development of Arch Gateway, and developers are invited to participate in the project.
Arch Gateway represents a promising tool for developers who want to integrate AI agents into their applications. By combining proven proxy technology with specialized LLMs, Arch Gateway offers a powerful and flexible solution for the challenges of modern AI development. The active open-source community and the continuous development of the project promise an exciting future for Arch Gateway.
Bibliographie: https://github.com/katanemo/archgw https://x.com/RustTrending/status/1866244524823208375 https://archgw.com/ https://github.com/katanemo https://x.com/RustTrending/status/1857396973017747810 https://news.ycombinator.com/item?id=41864014 https://www.linkedin.com/posts/adilhafeez_github-katanemoarch-arch-is-an-intelligent-activity-7250212832451915776-gr_a https://www.linkedin.com/posts/ghazni-ahmed_github-katanemoarch-arch-is-an-intelligent-activity-7250836130529435650-uMbe