# Basic Workflow Tracing (/tracing/usage/basic-workflow-tracing)



Enable tracing for a workflow to automatically capture all workflow operations, step runs, model calls, and tool executions in your database.

<Steps>
  <Step title="Create a Python file">
    ```python title="basic_workflow_tracing.py"
    from agno.agent import Agent
    from agno.db.sqlite import SqliteDb
    from agno.tools.hackernews import HackerNewsTools
    from agno.tracing import setup_tracing
    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 for traces
    db = SqliteDb(db_file="tmp/traces.db")

    # Enable tracing (call once at startup)
    setup_tracing(db=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 ===
    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,
        ],
    )

    # Run the workflow - traces are captured automatically
    workflow.print_response("Write an article on AI agents?")

    # Query traces from the database
    traces, count = db.get_traces(workflow_id=workflow.id, limit=10)
    print(f"\nFound {count} traces for workflow '{workflow.name}'")
    for trace in traces:
        print(f"  - {trace.name}: {trace.duration_ms}ms ({trace.status})")
    ```
  </Step>

    <Step title="Set up your virtual environment">
      <CodeBlockTabs defaultValue="Mac">
        <CodeBlockTabsList>
          <CodeBlockTabsTrigger value="Mac">
            Mac
          </CodeBlockTabsTrigger>

          <CodeBlockTabsTrigger value="Windows">
            Windows
          </CodeBlockTabsTrigger>
        </CodeBlockTabsList>

        <CodeBlockTab value="Mac">
          ```bash
          uv venv --python 3.12
          source .venv/bin/activate
          ```
        </CodeBlockTab>

        <CodeBlockTab value="Windows">
          ```bash
          uv venv --python 3.12
          .venv\Scripts\activate
          ```
        </CodeBlockTab>
      </CodeBlockTabs>
    </Step>

  <Step title="Install dependencies">
    ```bash
    uv pip install -U openai agno sqlalchemy opentelemetry-api opentelemetry-sdk openinference-instrumentation-agno
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeBlockTabs defaultValue="Mac/Linux">
      <CodeBlockTabsList>
        <CodeBlockTabsTrigger value="Mac/Linux">
          Mac/Linux
        </CodeBlockTabsTrigger>

        <CodeBlockTabsTrigger value="Windows">
          Windows
        </CodeBlockTabsTrigger>
      </CodeBlockTabsList>

      <CodeBlockTab value="Mac/Linux">
        ```bash
        export OPENAI_API_KEY="your_openai_api_key_here"
        ```
      </CodeBlockTab>

      <CodeBlockTab value="Windows">
        ```bash
        $Env:OPENAI_API_KEY="your_openai_api_key_here"
        ```
      </CodeBlockTab>
    </CodeBlockTabs>
  </Step>

  <Step title="Run the workflow">
    <CodeBlockTabs defaultValue="Mac">
      <CodeBlockTabsList>
        <CodeBlockTabsTrigger value="Mac">
          Mac
        </CodeBlockTabsTrigger>

        <CodeBlockTabsTrigger value="Windows">
          Windows
        </CodeBlockTabsTrigger>
      </CodeBlockTabsList>

      <CodeBlockTab value="Mac">
        ```bash
        python basic_workflow_tracing.py
        ```
      </CodeBlockTab>

      <CodeBlockTab value="Windows">
        ```bash
        python basic_workflow_tracing.py
        ```
      </CodeBlockTab>
    </CodeBlockTabs>
  </Step>
</Steps>