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

# metrics

## create\_metric\_configs

```python theme={null}
def create_metric_configs(project_id: str,
                          run_id: str | None,
                          metrics: builtins.list[GalileoMetrics | Metric | LocalMetricConfig | str]) -> tuple[builtins.list[ScorerConfig], builtins.list[LocalMetricConfig]]
```

Process metrics and create scorer configurations for experiments or log streams.

This unified function categorizes metrics into server-side and client-side types,
validates they exist, and registers server-side metrics with Galileo.

Metrics can be specified as:

* GalileoMetrics enum values (human-readable labels like "Correctness")
* Metric objects with name and optional version
* UUID strings (scorer IDs for direct lookup)
* Plain strings (searched by label with name fallback)
* LocalMetricConfig objects (processed client-side)

**Arguments**

* `project_id` (`str`): The ID of the project
* `run_id` (`Optional[str]`): The ID of the run (can be experiment ID or log stream ID).
  When None, scorer registration is skipped (trigger=True flow).
* `metrics` (`list`): List of metrics to configure

**Raises**

* `ValueError`: If any specified metrics are unknown or don't exist in Galileo

**Returns**

* `tuple[list[ScorerConfig], list[LocalMetricConfig]]`: A tuple containing:
* List of ScorerConfig objects for server-side metrics configured in Galileo
* List of LocalMetricConfig objects for client-side metrics to process locally