> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Decision Tree HITL Example (AgentOS)

> Multiple sequential human decisions in one workflow.

Multiple sequential human decisions in one workflow. Each Condition pauses in AgentOS and the selected branch shapes the final output.

```python decision_tree.py theme={null}
"""
Decision Tree HITL Example (AgentOS)

This example demonstrates multiple sequential human decisions in one workflow.
Each Condition pauses in AgentOS and the selected branch shapes the final output.
"""

from agno.os import AgentOS
from agno.workflow import OnReject
from agno.workflow.condition import Condition
from agno.workflow.step import Step
from agno.workflow.types import StepInput, StepOutput
from agno.workflow.workflow import Workflow
from workflow_db import db


def gather_requirements(step_input: StepInput) -> StepOutput:
    topic = step_input.input or "Q4 sales performance"
    return StepOutput(
        content=f"Requirements gathered for '{topic}'.\n"
        "Ready for analysis depth and output format decisions."
    )


def detailed_analysis(step_input: StepInput) -> StepOutput:
    return StepOutput(
        content="Detailed analysis complete:\n"
        "- Full statistical review\n"
        "- Edge cases examined\n"
        "- Confidence level: 95%"
    )


def quick_summary(step_input: StepInput) -> StepOutput:
    return StepOutput(
        content="Quick summary complete:\n"
        "- Key metrics computed\n"
        "- Top highlights identified"
    )


def formal_report(step_input: StepInput) -> StepOutput:
    previous_content = step_input.previous_step_content or "No analysis"
    return StepOutput(
        content=f"Formal stakeholder report:\n\n{previous_content}\n\n"
        "Formatted for presentation."
    )


def internal_notes(step_input: StepInput) -> StepOutput:
    previous_content = step_input.previous_step_content or "No analysis"
    return StepOutput(
        content=f"Internal team notes:\n\n{previous_content}\n\n"
        "Saved as team reference material."
    )


workflow = Workflow(
    name="decision_tree_workflow",
    description="Guide a workflow through sequential human decisions in AgentOS.",
    db=db,
    steps=[
        Step(name="gather_requirements", executor=gather_requirements),
        Condition(
            name="analysis_depth",
            requires_confirmation=True,
            confirmation_message="Perform detailed analysis? Reject for quick summary.",
            on_reject=OnReject.else_branch,
            steps=[Step(name="detailed_analysis", executor=detailed_analysis)],
            else_steps=[Step(name="quick_summary", executor=quick_summary)],
        ),
        Condition(
            name="output_format",
            requires_confirmation=True,
            confirmation_message="Generate a formal report? Reject for internal notes.",
            on_reject=OnReject.else_branch,
            steps=[Step(name="formal_report", executor=formal_report)],
            else_steps=[Step(name="internal_notes", executor=internal_notes)],
        ),
    ],
)
workflow.id = "workflow-hitl-decision-tree"

agent_os = AgentOS(
    name="Workflow Decision Tree HITL",
    description="AgentOS workflow example for sequential human decisions.",
    workflows=[workflow],
    db=db,
)
app = agent_os.get_app()


if __name__ == "__main__":
    agent_os.serve(app="decision_tree:app", reload=True)
```

The example imports this helper module from the same directory:

```python workflow_db.py theme={null}
from agno.db.postgres import PostgresDb

db_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U "agno[os]" cel-python fastmcp psycopg-binary starlette
    ```
  </Step>

  <Step title="Export your API keys">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export JWT_VERIFICATION_KEY="your_jwt_verification_key_here"
      ```

      ```bash Windows theme={null}
      $Env:JWT_VERIFICATION_KEY="your_jwt_verification_key_here"
      ```
    </CodeGroup>
  </Step>

  <Snippet file="run-pgvector-step.mdx" />

  <Step title="Run the example">
    Save the code blocks above as `decision_tree.py` and `workflow_db.py` in the same directory, then run:

    ```bash theme={null}
    python decision_tree.py
    ```
  </Step>
</Steps>

Full source: [cookbook/05\_agent\_os/human\_in\_the\_loop/workflow/decision\_tree.py](https://github.com/agno-agi/agno/blob/main/cookbook/05_agent_os/human_in_the_loop/workflow/decision_tree.py)