From 655ded986e0fd6f198e1cdfb7dd164952ab29b9b Mon Sep 17 00:00:00 2001
From: Farouk Adeleke <fadeleke57@gmail.com>
Date: Sat, 25 Oct 2025 03:28:44 -0400
Subject: [PATCH] (no commit message)

---
 README.md | 112 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 main.py   |  18 ++-------
 2 files changed, 116 insertions(+), 14 deletions(-)

diff --git a/README.md b/README.md
index e69de29..79cd4f6 100644
--- a/README.md
+++ b/README.md
@@ -0,0 +1,112 @@
+# Modaic AutoAgent Quickstart
+
+A simple quickstart project demonstrating how to use Modaic's AutoAgent for receipt classification and cost extraction from images.
+
+## Overview
+
+This project shows how to:
+- Use a precompiled agent from the Modaic Hub
+- Extract cost information from receipt images
+- Configure agent parameters like max tokens
+
+## Prerequisites
+
+- Python 3.11 or higher
+- Modaic account and API token
+- OpenAI API key
+
+## Installation
+
+1. **Install dependencies:**
+   ```bash
+   uv add modaic
+   # or with pip:
+   pip install modaic
+   ```
+
+2. **Set up environment variables:**
+   Create a `.env` file in the project root with your API keys:
+   ```
+   MODAIC_TOKEN=your_modaic_token_here
+   OPENAI_API_KEY=your_openai_api_key_here
+   ```
+
+## Usage
+
+### Basic Example
+
+```python
+from modaic import AutoAgent
+
+# Load a precompiled receipt classifier from the Modaic Hub
+receipt_classifier = AutoAgent.from_precompiled(
+    "farouk1/receipt-classifier",
+    config_options={"max_tokens": 500}
+)
+
+# Analyze a receipt image and extract the total cost
+results = receipt_classifier(
+    "https://ocr.space/Content/Images/receipt-ocr-original.webp"
+)
+
+print(results.total_cost)  # Output: 98.21
+```
+
+### What This Does
+
+1. **Loads a precompiled agent** - The `farouk1/receipt-classifier` agent is downloaded from the Modaic Hub
+2. **Configures the agent** - Sets max_tokens to 500 for response length control
+3. **Processes an image** - Analyzes the receipt image from the provided URL
+4. **Extracts cost data** - Returns the total cost found on the receipt
+
+## Key Features
+
+- **Precompiled Agents**: Use ready-made agents from the Modaic Hub
+- **Image Processing**: Direct support for image URLs and analysis
+- **Configurable Parameters**: Customize agent behavior with config options
+- **Simple API**: Just a few lines of code to get started
+
+## Getting API Keys
+
+### Modaic Token
+1. Sign up at [Modaic](https://modaic.dev)
+2. Navigate to your account settings
+3. Generate an API token
+
+### OpenAI API Key
+1. Sign up at [OpenAI](https://platform.openai.com)
+2. Go to API keys section
+3. Create a new API key
+
+## Project Structure
+
+```
+quickstart/
+    .env                 # API keys (not committed to git)
+    .gitignore          # Git ignore patterns
+    main.py             # Agent implementation and hub upload
+    pyproject.toml      # Project dependencies and metadata
+    README.md           # This file
+    uv.lock            # Dependency lock file
+```
+
+## Running the Example
+
+```bash
+python main.py
+```
+
+This will run the quickstart example and display the extracted total cost from the receipt image.
+
+## Next Steps
+
+- Explore more precompiled agents on the [Modaic Hub](https://hub.modaic.dev)
+- Learn about creating your own agents with the Modaic SDK
+- Check out the [Modaic documentation](https://docs.modaic.dev) for advanced features
+
+## Support
+
+For questions or issues:
+- Visit the [Modaic documentation](https://docs.modaic.dev)
+- Check the [GitHub repository](https://github.com/modaic/modaic)
+- Join the community discussions
\ No newline at end of file
diff --git a/main.py b/main.py
index 0476d45..20e5caa 100644
--- a/main.py
+++ b/main.py
@@ -1,15 +1,13 @@
 from modaic import PrecompiledAgent, PrecompiledConfig
 import dspy
 
-
 class ReceiptClassifierConfig(
     PrecompiledConfig
-):  # configurable for each agent instance
-    lm: str = "openai/gpt-4o-mini"  # set OPENAI_API_KEY
+):  # Configurable for each agent instance
+    lm: str = "openai/gpt-4o-mini"  # Set OPENAI_API_KEY
     max_tokens: int = 500
 
-
-class ReceiptClassifier(PrecompiledAgent):  # extends dspy.module()
+class ReceiptClassifier(PrecompiledAgent):  # Extends dspy.module()
     config: ReceiptClassifierConfig
 
     def __init__(self, config: ReceiptClassifierConfig, **kwargs):
@@ -23,13 +21,5 @@ class ReceiptClassifier(PrecompiledAgent):  # extends dspy.module()
         receipt_image = dspy.Image(url=image_url)
         return self.extract(image=receipt_image)
 
-
 agent = ReceiptClassifier(ReceiptClassifierConfig())
-
-
-def main():
-    agent.push_to_hub("farouk1/receipt-classifier", with_code=True)
-
-
-if __name__ == "__main__":
-    main()
+agent.push_to_hub("farouk1/receipt-classifier", with_code=True) # Set MODAIC_TOKEN