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

# How do I update run config, tags, and notes via the W&B API?

After a run finishes, use the [Public API guide](/models/track/public-api-guide) to edit config, display name, tags, and notes without re-running the experiment. For tag concepts and UI workflows, see [Tags](/models/runs/tags). For config during a run, see [Configuration](/models/track/config).

The examples below use `run.update()` to persist pending changes in one API call.

```python theme={null}
import wandb

api = wandb.Api()
run = api.run("my-entity/my-project/run_id_here")

run.config["post_hoc_label"] = "baseline-v2"
run.name = "resnet50-lr1e-3-aug-v2"
run.tags.append("reviewed")
run.notes = "Final baseline. Val accuracy: 92.4%."
run.update()
```

## Bulk updates

To tag or annotate many runs (for example, all runs from a sweep), iterate with filters and call `update()` per run:

```python theme={null}
for run in api.runs("my-entity/my-project", filters={"sweep": "sweep_id_here"}):
    run.tags.append("sweep-reviewed")
    run.update()
```

Each `update()` is a separate API call. For large sets, add a short sleep between calls to avoid rate limits.

***

<Badge stroke shape="pill" color="orange" size="md">[Runs](/support/models/tags/runs)</Badge><Badge stroke shape="pill" color="orange" size="md">[Experiments](/support/models/tags/experiments)</Badge><Badge stroke shape="pill" color="orange" size="md">[API](/support/models/tags/api)</Badge>