> ## 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.

# Workflow Automation

> Run repeatable processes with workflows, background execution, human review, and schedules.

Engineering and operations teams use workflows to automate processes that need consistent execution and a traceable result. Agno combines model-driven steps with branches, loops, parallel work, approval gates, background execution, schedules, and persisted run history.

```python incident_workflow.py theme={null}
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.workflow import Workflow

triage = Agent(
    name="Triage",
    model="openai:gpt-5.5",
    instructions="Extract the issue, severity, and responsible team.",
)

action_plan = Agent(
    name="Action Plan",
    model="openai:gpt-5.5",
    instructions="Turn the triage result into a short action plan.",
)

incident_workflow = Workflow(
    name="Incident Triage",
    steps=[triage, action_plan],
    db=SqliteDb(db_file="tmp/workflows.db"),
)

incident_workflow.print_response(
    "Checkout requests return HTTP 500 after the latest deployment."
)
```

Create a virtual environment, install the OpenAI, AgentOS, and SQLite integrations, and set `OPENAI_API_KEY` before running the workflow:

```bash theme={null}
uv venv --python 3.12
uv pip install -U "agno[openai,os,sqlite]"
uv run python incident_workflow.py
```

Each step receives the previous step's output. The database stores workflow runs so they can be inspected after execution.

## Choose the control model

| Requirement                                      | Use                             |
| ------------------------------------------------ | ------------------------------- |
| One model-driven task                            | [Agent](/agents/overview)       |
| Dynamic delegation among specialists             | [Team](/teams/overview)         |
| Fixed steps, branches, loops, or parallel groups | [Workflow](/workflows/overview) |

## Production building blocks

| Need                                        | Capability                                              |
| ------------------------------------------- | ------------------------------------------------------- |
| Continue work after the client disconnects  | [Background execution](/background-execution/overview)  |
| Pause before sensitive or irreversible work | [Human-in-the-loop workflows](/workflows/hitl/overview) |
| Run recurring jobs                          | [Scheduling](/features/scheduling)                      |
| Trigger work from another service           | [Agent API](/features/api)                              |
| Inspect runs, latency, and failures         | [Observability](/features/observability)                |

## Common patterns

| Pattern               | Workflow shape                                                                |
| --------------------- | ----------------------------------------------------------------------------- |
| Intake and triage     | Extract input, classify it, route it, and request review when needed.         |
| Data enrichment       | Fetch records, enrich them in parallel, validate output, and persist results. |
| Recurring reports     | Collect data, analyze it, render a report, and run on a schedule.             |
| Long-running research | Start in the background, persist events, and reconnect to the stream.         |

## Next steps

| Task                            | Guide                                                      |
| ------------------------------- | ---------------------------------------------------------- |
| Define workflow steps           | [Building workflows](/workflows/building-workflows)        |
| Choose an orchestration pattern | [Workflow patterns](/workflows/workflow-patterns/overview) |
| Run a workflow through AgentOS  | [Using the AgentOS API](/agent-os/using-the-api)           |