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This example shows how to enable tracing for a workflow in AgentOS. Simply set tracing=True and all workflow runs, model calls, and tool executions are automatically captured.
1

Create a Python file

basic_workflow_tracing.py
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.os import AgentOS
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.condition import Condition
from agno.workflow.step import Step
from agno.workflow.types import StepInput
from agno.workflow.workflow import Workflow

# Set up database
db = SqliteDb(db_file="tmp/traces.db")

# === BASIC AGENTS ===
researcher = Agent(
    name="Researcher",
    instructions="Research the given topic and provide detailed findings.",
    tools=[HackerNewsTools()],
)

summarizer = Agent(
    name="Summarizer",
    instructions="Create a clear summary of the research findings.",
)

fact_checker = Agent(
    name="Fact Checker",
    instructions="Verify facts and check for accuracy in the research.",
    tools=[HackerNewsTools()],
)

writer = Agent(
    name="Writer",
    instructions="Write a comprehensive article based on all available research and verification.",
)

# === CONDITION EVALUATOR ===


def needs_fact_checking(step_input: StepInput) -> bool:
    """Determine if the research contains claims that need fact-checking"""
    return True


# === WORKFLOW STEPS ===
research_step = Step(
    name="research",
    description="Research the topic",
    agent=researcher,
)

summarize_step = Step(
    name="summarize",
    description="Summarize research findings",
    agent=summarizer,
)

# Conditional fact-checking step
fact_check_step = Step(
    name="fact_check",
    description="Verify facts and claims",
    agent=fact_checker,
)

write_article = Step(
    name="write_article",
    description="Write final article",
    agent=writer,
)

# === BASIC LINEAR WORKFLOW ===
basic_workflow = Workflow(
    name="Basic Linear Workflow",
    description="Research -> Summarize -> Condition(Fact Check) -> Write Article",
    db=db,
    steps=[
        research_step,
        summarize_step,
        Condition(
            name="fact_check_condition",
            description="Check if fact-checking is needed",
            evaluator=needs_fact_checking,
            steps=[fact_check_step],
        ),
        write_article,
    ],
)

# Setup our AgentOS app
agent_os = AgentOS(
    description="Example app for tracing Basic Workflow",
    workflows=[basic_workflow],
    tracing=True,
)
app = agent_os.get_app()

if __name__ == "__main__":
    agent_os.serve(app="basic_workflow_tracing:app", reload=True)
2

Set up your virtual environment

uv venv --python 3.12
source .venv/bin/activate
3

Install dependencies

uv pip install -U openai agno opentelemetry-api opentelemetry-sdk openinference-instrumentation-agno
4

Export your OpenAI API key

export OPENAI_API_KEY="your_openai_api_key_here"
5

Run AgentOS

python basic_workflow_tracing.py
Your AgentOS will be available at http://localhost:7777. View traces in the AgentOS dashboard.