Arch Howto
Arch is an intelligent Layer 7 gateway built on Envoy Proxy that provides secure handling, robust observability, and seamless integration of prompts with APIs for building fast, robust, and personalized AI agents.
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Install Prerequisites: Ensure you have Docker (v24), Docker compose (v2.29), Python (v3.10), and Poetry (v1.8.3) installed on your system. Poetry is needed for local development.
Create Python Virtual Environment: Create and activate a new Python virtual environment using: python -m venv venv && source venv/bin/activate (or venv\Scripts\activate on Windows)
Install Arch CLI: Install the Arch gateway CLI tool using pip: pip install archgw
Create Configuration File: Create a configuration file (e.g., arch_config.yaml) defining your LLM providers, prompt targets, endpoints, and other settings like system prompts and parameters
Configure LLM Providers: In the config file, set up your LLM providers (e.g., OpenAI) with appropriate access keys and model settings
Define Prompt Targets: Configure prompt targets in the config file, specifying endpoints, parameters, and descriptions for each target function
Set Up Endpoints: Define your application endpoints in the config file, including connection settings and timeouts
Initialize Client: Create an OpenAI client instance pointing to Arch gateway (e.g., base_url='http://127.0.0.1:12000/v1') in your application code
Make API Calls: Use the configured client to make API calls through Arch, which will handle routing, security, and observability
Monitor Performance: Use Arch's built-in observability features to monitor metrics, traces, and logs for your LLM interactions
Arch FAQs
Arch is an intelligent Layer 7 gateway designed to protect, observe, and personalize LLM applications with APIs. It's built on Envoy Proxy and engineered with purpose-built LLMs for secure handling, robust observability, and seamless integration of prompts with APIs.
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