Updated ARchon with latest code from main branch of Cole

.env.example

@@ -121,12 +121,32 @@ VITE_SHOW_DEVTOOLS=false
 PROD=false
 
 
+# Cloud Provider Configuration (Optional - Can also be configured via UI)
+# ⭐ RECOMMENDED: Configure these through Settings > Cloud Providers in the UI for easier management
+# 
+# Azure OpenAI:
+# AZURE_OPENAI_ENDPOINT: Your Azure OpenAI resource endpoint
+# AZURE_OPENAI_API_KEY: Your Azure OpenAI API key  
+# AZURE_OPENAI_API_VERSION: API version (e.g., 2024-02-15-preview)
+# AZURE_OPENAI_DEPLOYMENT: Your deployment name
+#
+# AWS Bedrock:
+# AWS_ACCESS_KEY_ID: Your AWS IAM Access Key ID
+# AWS_SECRET_ACCESS_KEY: Your AWS IAM Secret Access Key
+# AWS_REGION: AWS region for Bedrock (e.g., us-east-1, us-west-2)
+# AWS_BEDROCK_MODEL_ID: Bedrock model ID (e.g., anthropic.claude-3-sonnet-20240229-v1:0)
+#
+# Note: UI configuration is preferred as it provides encrypted storage and easier management
+
 # NOTE: All other configuration has been moved to database management!
 # Run the credentials_setup.sql file in your Supabase SQL editor to set up the credentials table.
 # Then use the Settings page in the web UI to manage:
-# - OPENAI_API_KEY (encrypted)
+# - OPENAI_API_KEY (encrypted) - or use Azure OpenAI credentials above
+# - AZURE_OPENAI_API_KEY (encrypted) - if using Azure OpenAI
 # - MODEL_CHOICE 
 # - TRANSPORT settings
+# - LLM_PROVIDER (set to "azure-openai" if using Azure OpenAI)
+# - EMBEDDING_PROVIDER (set to "azure-openai" if using Azure OpenAI for embeddings)
 # - RAG strategy flags (USE_CONTEXTUAL_EMBEDDINGS, USE_HYBRID_SEARCH, etc.)
 # - Crawler settings:
 #   * CRAWL_MAX_CONCURRENT (default: 10) - Max concurrent pages per crawl operation

README.md

@@ -61,7 +61,7 @@ This new vision for Archon replaces the old one (the agenteer). Archon used to b
 - [Docker Desktop](https://www.docker.com/products/docker-desktop/)
 - [Node.js 18+](https://nodejs.org/) (for hybrid development mode)
 - [Supabase](https://supabase.com/) account (free tier or local Supabase both work)
-- [OpenAI API key](https://platform.openai.com/api-keys) (Gemini and Ollama are supported too!)
+- [OpenAI API key](https://platform.openai.com/api-keys) (Azure OpenAI, Gemini, and Ollama are supported too!)
 - (OPTIONAL) [Make](https://www.gnu.org/software/make/) (see [Installing Make](#installing-make) below)
 
 ### Setup Instructions
@@ -160,16 +160,16 @@ sudo yum install make
 <summary><strong>🚀 Quick Command Reference for Make</strong></summary>
 <br/>
 
-| Command           | Description                                             |
-| ----------------- | ------------------------------------------------------- |
+| Command           | Description                                            |
+| ----------------- | ------------------------------------------------------ |
 | `make dev`        | Start hybrid dev (backend in Docker, frontend local) ⭐ |
-| `make dev-docker` | Everything in Docker                                    |
-| `make stop`       | Stop all services                                       |
-| `make test`       | Run all tests                                           |
-| `make lint`       | Run linters                                             |
-| `make install`    | Install dependencies                                    |
-| `make check`      | Check environment setup                                 |
-| `make clean`      | Remove containers and volumes (with confirmation)       |
+| `make dev-docker` | Everything in Docker                                   |
+| `make stop`       | Stop all services                                      |
+| `make test`       | Run all tests                                          |
+| `make lint`       | Run linters                                            |
+| `make install`    | Install dependencies                                   |
+| `make check`      | Check environment setup                                |
+| `make clean`      | Remove containers and volumes (with confirmation)      |
 
 </details>
 
@@ -248,7 +248,7 @@ To upgrade Archon to the latest version:
 
 - **Model Context Protocol (MCP)**: Connect any MCP-compatible client (Claude Code, Cursor, even non-AI coding assistants like Claude Desktop)
 - **MCP Tools**: Comprehensive yet simple set of tools for RAG queries, task management, and project operations
-- **Multi-LLM Support**: Works with OpenAI, Ollama, and Google Gemini models
+- **Multi-LLM Support**: Works with OpenAI, Azure OpenAI, Ollama, and Google Gemini models
 - **RAG Strategies**: Hybrid search, contextual embeddings, and result reranking for optimal AI responses
 - **Real-time Streaming**: Live responses from AI agents with progress tracking