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

# User feedback

User feedback is an excellent source for assessing the quality of an LLM application. In Baserun, feedback is collected either as a 0-1 score or custom defined metadata. The feedback is then displayed in the input/output tab inside the trace detail or request detail panel.

```python theme={null}
client.feedback(name: str, score: float, metadata: Optional[Dict] = None) -> Tag:
```

### Arguments

<ParamField path="name" type="string">
  An optional name that will show up in the Trace/Completion detail view > Feedback section.
</ParamField>

<ParamField path="score" type="float" required>
  A score between 0 and 1
</ParamField>

<ParamField path="metadata" type="object">
  Extra information about the feedback. For example, a user comment.
</ParamField>

### Instructions

Within a LLM request or a trace, after create an client

```python theme={null}
client.feedback (0.9, metadata={"comment": "Great response!"})
```

### Adding feedback to a completed trace or completion

Check out the [Tags](/SDK_2.0/python/tags) page for more information on how to add feedback to a trace or completion.