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

# Overview

> Inspect agent and workflow runs across your projects.

Run history is where you debug and audit what agents and workflows did. Use it to see whether a run finished, what started it, which tools or models it used, what it cost, and where it failed.

Open **Runs** (`/history`) in the web app to see runs across the projects you can access in the active organization. Get there from **View runs** in an agent's menu, a pinned run, or a link to a run; each workflow also lists its own runs.

## What appears in Runs

Runs includes two run types:

| Type | What it represents |
| - | - |
| **Agent** | A prompt session with an agent, whether started from the API, CLI, a workflow, another agent, a trigger, or a gateway |
| **Workflow** | A workflow execution, whether started directly, by a trigger, or from another runtime path |

The table shows each run's name, type, start time, actor, status, trigger, duration, and project. Additional columns are available for run ID, queue time, finish time, models used, other services used, billed amount, message count, step count, and raw trigger value.

You can search runs, filter by fields like status, type, project, trigger, actor, model, service, cost, messages, and steps, or use the saved views for failed and running runs.

## Statuses

Runs can have these statuses:

| Status | What it means |
| - | - |
| **Queued** | The run has been created and is waiting to start |
| **Running** | The run is actively executing |
| **Sleeping** | The run is paused until the runtime wakes it |
| **Waiting for a response** | The run is waiting for an external hook response |
| **Success** | The run completed successfully |
| **Failed** | The run ended with an error |
| **Canceled** | The run was canceled before it completed |

Active runs update automatically while they are queued, running, sleeping, or waiting on a hook.

## Inspect a run

Select a row in **Runs** to open the detail panel. The panel has three tabs:

| Tab | What it shows |
| - | - |
| **Overview** | Summary, conversation or payloads, usage, and run cost details |
| **Metadata** | Trigger time, queue time, start and finish times, status, run ID, actor, project, models, services, and total billed |
| **Trace** | Raw trace spans and logs in JSON or YAML |

Agent runs show the recorded conversation in the Overview tab. Workflow runs show input and output payloads, or an error payload when the run failed.

The Trace tab is the lowest-level view. Spans nest to mirror what actually ran: a trigger run wraps the workflow run, which wraps each action, agent, and model step, which in turn wrap nested tool calls. Reading the spans shows what ran, in what order, and where time and errors went.

## Use the CLI

Use `luno history` when you want organization-level cloud history from the terminal:

```bash theme={null}
luno history list --kind workflow --status failed
luno history get <run-id>
```

`luno history list` uses the active cloud organization and can filter by project ID, status, and kind. Owners and admins can pass `--admin` to list all organization resources.

For resource-specific inspection, use the agent and workflow run commands:

```bash theme={null}
luno agents sessions list support
luno workflows runs list signup-pipeline
```

Those commands inspect runs on your deployed cloud project. See [project targeting](https://docs.os.meetluno.ai/cli.md#project-targeting) and the [CLI reference](https://docs.os.meetluno.ai/cli.md#invoke-and-inspect).

## Next steps

> **[Agent runs](https://docs.os.meetluno.ai/learn/logs/agent-runs.md)**
>
> Inspect agent sessions, conversations, tool calls, and traces.

> **[Workflow runs](https://docs.os.meetluno.ai/learn/logs/workflow-runs.md)**
>
> Inspect workflow input, output, errors, steps, and traces.

> **[Run agents](https://docs.os.meetluno.ai/learn/agents/run-agents.md)**
>
> Start agent sessions and inspect their results.

> **[Run workflows](https://docs.os.meetluno.ai/learn/workflows/run-workflows.md)**
>
> Start workflow runs and review their output.


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.