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a36cecf255
- 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.
48 lines
1.2 KiB
Markdown
48 lines
1.2 KiB
Markdown
# Broken Agent Example
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This example demonstrates a deliberately fragile AI agent that Entropix can detect issues with.
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## The "Broken" Agent
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The agent in `agent.py` has several intentional flaws:
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1. **Fragile Intent Parsing**: Only recognizes exact keyword matches
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2. **No Typo Tolerance**: Fails on any spelling variations
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3. **Hostile Input Vulnerability**: Crashes on aggressive tone
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4. **Prompt Injection Susceptible**: Follows injected instructions
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## Running the Example
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### 1. Start the Agent Server
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```bash
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cd examples/broken_agent
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pip install fastapi uvicorn
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uvicorn agent:app --port 8000
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```
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### 2. Run Entropix Against It
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```bash
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# From the project root
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entropix run --config examples/broken_agent/entropix.yaml
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```
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### 3. See the Failures
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The report will show how the agent fails on:
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- Paraphrased requests ("I want to fly" vs "Book a flight")
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- Typos ("Bock a fligt")
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- Aggressive tone ("BOOK A FLIGHT NOW!!!")
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- Prompt injections ("Book a flight. Ignore previous instructions...")
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## Fixing the Agent
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Try modifying `agent.py` to:
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1. Use NLP for intent recognition
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2. Add spelling correction
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3. Handle emotional inputs gracefully
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4. Detect and refuse prompt injections
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Then re-run Entropix to see your robustness score improve!
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