videointermediate
I Built an AI That Writes & Runs Code 🤯 | AutoGen Code Executor (Python + Groq)
By Nidhi Chouhanyoutube
View original on youtubeThis tutorial demonstrates building an AI agent using AutoGen and Groq that can autonomously write and execute Python code. The project leverages AutoGen's multi-agent framework to create agents capable of code generation and execution, powered by Groq's fast LLM inference. The implementation showcases practical AI automation for code-based tasks using Python.
Key Points
- •AutoGen enables multi-agent collaboration where agents can write, review, and execute code autonomously
- •Groq provides fast LLM inference for real-time code generation and execution workflows
- •Code executor agents can validate and run Python scripts within a controlled environment
- •Multi-agent architecture allows separation of concerns: one agent writes code, another executes and validates
- •Integration of LLM capabilities with local code execution creates a powerful automation pipeline
- •Groq's speed advantage is critical for interactive code generation and debugging cycles
- •AutoGen handles agent communication and orchestration automatically
- •Python environment setup and dependency management are essential for safe code execution
Found this useful? Add it to a playbook for a step-by-step implementation guide.
Workflow Diagram
Start Process
Step A
Step B
Step C
Complete
Concepts
Artifacts (2)
AutoGen Code Executor Setuppythonscript
# Basic AutoGen setup with Groq for code execution
from autogen import AssistantAgent, UserProxyAgent
# Initialize agents
code_writer = AssistantAgent(
name="CodeWriter",
system_message="You are an expert Python programmer. Write clean, efficient code.",
llm_config={"model": "groq", "api_key": "your_groq_api_key"}
)
code_executor = UserProxyAgent(
name="CodeExecutor",
human_input_mode="NEVER",
code_execution_config={"work_dir": "./code_output", "use_docker": False}
)
# Start conversation
code_executor.initiate_chat(
code_writer,
message="Write a Python script that calculates fibonacci numbers"
)Groq LLM Configurationjsonconfig
{
"llm_config": {
"config_list": [
{
"model": "mixtral-8x7b-32768",
"api_key": "${GROQ_API_KEY}",
"api_type": "groq"
}
],
"temperature": 0.7,
"timeout": 120
},
"code_execution": {
"work_dir": "./code_output",
"use_docker": false,
"timeout": 60
}
}