Your First Agent

Start Here to Begin with Beacon Labs

In this example, we will create a sample agent, and in doing so, we will analyze and learn Beacon Labs' fundamental mechanisms.

Agents function as electronic employees that perform tasks on your behalf. By properly utilizing them, you can free up time for high-value tasks instead of spending it on time-consuming, lower-priority activities.

---

Basic Agent

basic_agent.py

pythonCopyEditfrom beaconlabs import Agent, Task

task = Task("Do an in-depth analysis of US history")

agent = Agent("Historian")

agent.print_do(task)

To run the agent, install dependencies and export your OPENAI_API_KEY.

---

1. Set Up Your Virtual Environment

Mac / Windows

shCopyEditpython3 -m venv .venv
source .venv/bin/activate

---

2. Install Dependencies

Mac / Windows

shCopyEditpip install -U beaconlabs

---

3. Set Up Your OpenAI API Key

.env File

iniCopyEditOPENAI_API_KEY=sk-***

---

4. Run the Agent to Execute the Task

shCopyEditpython basic_agent.py

---

✅ You’ve successfully created your first agent with Beacon Labs! 🚀