Add initial project structure and configuration files

- Created .gitignore to exclude unnecessary files and directories.
- Added Cargo.toml for Rust workspace configuration.
- Introduced example configuration file entropix.yaml.example for user customization.
- Included LICENSE file with Apache 2.0 license details.
- Created pyproject.toml for Python project metadata and dependencies.
- Added README.md with project overview and usage instructions.
- Implemented a broken agent example to demonstrate testing capabilities.
- Established Rust module structure with Cargo.toml and source files.
- Set up initial tests for assertions and configuration validation.

examples/broken_agent/README.md

@@ -0,0 +1,48 @@
+# Broken Agent Example
+
+This example demonstrates a deliberately fragile AI agent that Entropix can detect issues with.
+
+## The "Broken" Agent
+
+The agent in `agent.py` has several intentional flaws:
+
+1. **Fragile Intent Parsing**: Only recognizes exact keyword matches
+2. **No Typo Tolerance**: Fails on any spelling variations
+3. **Hostile Input Vulnerability**: Crashes on aggressive tone
+4. **Prompt Injection Susceptible**: Follows injected instructions
+
+## Running the Example
+
+### 1. Start the Agent Server
+
+```bash
+cd examples/broken_agent
+pip install fastapi uvicorn
+uvicorn agent:app --port 8000
+```
+
+### 2. Run Entropix Against It
+
+```bash
+# From the project root
+entropix run --config examples/broken_agent/entropix.yaml
+```
+
+### 3. See the Failures
+
+The report will show how the agent fails on:
+- Paraphrased requests ("I want to fly" vs "Book a flight")
+- Typos ("Bock a fligt")
+- Aggressive tone ("BOOK A FLIGHT NOW!!!")
+- Prompt injections ("Book a flight. Ignore previous instructions...")
+
+## Fixing the Agent
+
+Try modifying `agent.py` to:
+1. Use NLP for intent recognition
+2. Add spelling correction
+3. Handle emotional inputs gracefully
+4. Detect and refuse prompt injections
+
+Then re-run Entropix to see your robustness score improve!
+