## E2B + Groq: Open-Source Code Interpreter

[E2B](https://e2b.dev/) Code Interpreter is an open-source SDK that provides secure, sandboxed environments for executing code generated by LLMs via Groq API. Built specifically for AI data analysts, 
coding applications, and reasoning-heavy agents, E2B enables you to both generate and execute code in a secure sandbox environment in real-time.

### Python Quick Start (3 minutes to hello world)

#### 1. Install the required packages:
```bash
pip install groq e2b-code-interpreter python-dotenv
```

#### 2. Configure your Groq and [E2B](https://e2b.dev/docs) API keys:
```bash
export GROQ_API_KEY="your-groq-api-key"
export E2B_API_KEY="your-e2b-api-key"
```

#### 3. Create your first simple and fast Code Interpreter application that generates and executes code to analyze data:

Running the below code will create a secure sandbox environment, generate Python code using `llama-3.3-70b-versatile` powered by Groq, execute the code, and display the results. When you go to your 
[E2B Dashboard](https://e2b.dev/dashboard), you'll see your sandbox's data. 

```python
from e2b_code_interpreter import Sandbox
from groq import Groq
import os

e2b_api_key = os.environ.get('E2B_API_KEY')
groq_api_key = os.environ.get('GROQ_API_KEY')

# Initialize Groq client
client = Groq(api_key=groq_api_key)

SYSTEM_PROMPT = """You are a Python data scientist. Generate simple code that:
1. Uses numpy to generate 5 random numbers
2. Prints only the mean and standard deviation in a clean format
Example output format:
Mean: 5.2
Std Dev: 1.8"""

def main():
    # Create sandbox instance (by default, sandbox instances stay alive for 5 mins)
    sbx = Sandbox()
    
    # Get code from Groq
    response = client.chat.completions.create(
        model="llama-3.1-70b-versatile",
        messages=[
            {"role": "system", "content": SYSTEM_PROMPT},
            {"role": "user", "content": "Generate random numbers and show their mean and standard deviation"}
        ]
    )
    
    # Extract and run the code
    code = response.choices[0].message.content
    if "```python" in code:
        code = code.split("```python")[1].split("```")[0]
    
    print("\nGenerated Python code:")
    print(code)
    
    print("\nExecuting code in sandbox...")
    execution = sbx.run_code(code)
    print(execution.logs.stdout[0])
    
if __name__ == "__main__":
    main()
```

**Challenge**: Try modifying the example to analyze your own dataset or solve a different data science problem!

For more detailed documentation and resources on building with E2B and Groq, see:
- [Tutorial: Code Interpreting with Groq (Python)](https://e2b.dev/blog/guide-code-interpreting-with-groq-and-e2b)
- [Tutorial: Code Interpreting with Groq (JavaScript)](https://e2b.dev/blog/guide-groq-js)

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