1pip install agenticx

1from agenticx import Agent, Task, AgentExecutor
2from agenticx.llms import OpenAIProvider
3
4# Define the agent
5agent = Agent(
6    id="data-analyst",
7    name="Data Analyst",
8    role="Data Analysis Expert",
9    goal="Help users analyze and understand data",
10    organization_id="my-org"
11)
12
13# Define a task
14task = Task(
15    id="analysis-task",
16    description="Analyze sales data trends for Q4 2025",
17    expected_output="A detailed analysis report with key insights"
18)
19
20# Run
21llm = OpenAIProvider(model="gpt-4o")
22executor = AgentExecutor(agent=agent, llm=llm)
23result = executor.run(task)
24print(result)

1from agenticx.tools import tool
2from agenticx import Agent, Task, AgentExecutor
3from agenticx.llms import OpenAIProvider
4
5@tool
6def calculate_sum(x: int, y: int) -> int:
7    """Calculate the sum of two numbers."""
8    return x + y
9
10@tool
11def search_web(query: str) -> str:
12    """Search the web for information."""
13    # integrate with your search provider
14    return f"Results for: {query}"
15
16agent = Agent(
17    id="assistant",
18    name="Assistant",
19    role="General Assistant",
20    goal="Help with any task",
21    organization_id="my-org"
22)
23
24task = Task(
25    description="What is 42 + 58?",
26    expected_output="The numerical answer"
27)
28
29executor = AgentExecutor(agent=agent, llm=OpenAIProvider(), tools=[calculate_sum, search_web])
30result = executor.run(task)

1# Create a new project
2agx project create my-agent --template basic
3cd my-agent
4
5# Start the Studio API server
6agx serve --port 8000
7
8# Run a workflow file
9agx run workflows/my_pipeline.py --verbose

1agx serve --port 8000
2# Open http://localhost:8000 in your browser