Commit f95e0bcc authored by Kostas Chartsias's avatar Kostas Chartsias
Browse files

updated README

parent 512703d6

AI_agent/README.md

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@@ -51,6 +51,7 @@ GROQ_MODEL_NAME=qwen/qwen3-32b 
---



## ⚙️ Installation

### Option 1 - Local(venv)



### 1. Clone the Repository
@@ -77,6 +78,13 @@ pip install -r requirements.txt 


Create a `.env` file in the root of `AI_agent/` and populate it as shown above.



### Option 2 - Containerized

Build the Docker Image



Run this inside the project root (same folder as Dockerfile):

```

docker build -t ai_agent .

```

---



## 🚀 Usage
@@ -99,6 +107,23 @@ http://127.0.0.1:9013 


CORS is enabled for all origins.



### Option 2 - Containerized

Run the container:



The Dockerfile sets these defaults:

```

ENV APP_HOST=0.0.0.0

ENV APP_PORT=9013

ENV MCP_SERVER_URL=http://127.0.0.1:8004/mcp

...

...

```

To start the backend with these defaults:

```

docker run -p 9013:9013 ai_agent

```

Or override them at runtime.



---

MCP_module/Dummy_backend/README.md

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@@ -59,7 +59,7 @@ Build the Docker Image 


Run this inside the project root (same folder as Dockerfile):

```

docker build -t dummy-backend .

docker build -t dummy_backend .

```

## 🚀 Usage

README.md

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@@ -14,6 +14,12 @@ The MCP Module implements an MCP server that exposes **CAMARA-compliant APIs** v 
* Support for agentic workflows

* Scalable AI-enabled operations





### 2. AI Agent

AI Agent is a lightweight, modular backend built with [`Quart`](https://quart.palletsprojects.com/en/latest/) that exposes REST API endpoints for interacting with multiple AI sub-agents. 



It is designed to be easily extensible with support for different LLMs and OpenOP MCP servers.



---