From b0658e27bec2eb81cebfc09a813c26e98cf49016 Mon Sep 17 00:00:00 2001 From: Cole Medin Date: Wed, 19 Mar 2025 07:58:17 -0500 Subject: [PATCH] Changing location of new "Updating" section in README --- README.md | 38 +++++++++++++++++++------------------- 1 file changed, 19 insertions(+), 19 deletions(-) diff --git a/README.md b/README.md index e66f83f5..399d3b07 100644 --- a/README.md +++ b/README.md @@ -90,6 +90,25 @@ streamlit run streamlit_ui.py 4. Access the Streamlit UI at http://localhost:8501. +### Setup Process + +After installation, follow the guided setup process in the Intro section of the Streamlit UI: +- **Environment**: Configure your API keys and model settings - all stored in `workbench/env_vars.json` +- **Database**: Set up your Supabase vector database +- **Documentation**: Crawl and index the Pydantic AI documentation +- **Agent Service**: Start the agent service for generating agents +- **Chat**: Interact with Archon to create AI agents +- **MCP** (optional): Configure integration with AI IDEs + +The Streamlit interface will guide you through each step with clear instructions and interactive elements. +There are a good amount of steps for the setup but it goes quick! + +### Troubleshooting + +If you encounter any errors when using Archon, please first check the logs in the "Agent Service" tab. +Logs specifically for MCP are also logged to `workbench/logs.txt` (file is automatically created) so please +check there. The goal is for you to have a clear error message before creating a bug here in the GitHub repo + ### Updating Archon #### Option 1: Docker @@ -126,25 +145,6 @@ streamlit run streamlit_ui.py This ensures you're always running the most recent version of Archon with all the latest features and bug fixes. -### Setup Process - -After installation, follow the guided setup process in the Intro section of the Streamlit UI: -- **Environment**: Configure your API keys and model settings - all stored in `workbench/env_vars.json` -- **Database**: Set up your Supabase vector database -- **Documentation**: Crawl and index the Pydantic AI documentation -- **Agent Service**: Start the agent service for generating agents -- **Chat**: Interact with Archon to create AI agents -- **MCP** (optional): Configure integration with AI IDEs - -The Streamlit interface will guide you through each step with clear instructions and interactive elements. -There are a good amount of steps for the setup but it goes quick! - -### Troubleshooting - -If you encounter any errors when using Archon, please first check the logs in the "Agent Service" tab. -Logs specifically for MCP are also logged to `workbench/logs.txt` (file is automatically created) so please -check there. The goal is for you to have a clear error message before creating a bug here in the GitHub repo - ## Project Evolution ### V1: Single-Agent Foundation