Datasets:
roanbrasil
/
devops-gitops-corpus

Dataset card Data Studio Files
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key: "accuracy",
feedbackConfig: {
type: "continuous",
min: 0,
max: 5,
},
},
});
const accuracyFeedback = result.feedback;
```
You can also use `type: "freeform"` when you want only text feedback (no score).
## Notes
- If VoltOps keys are not configured, `feedback` will be null.
- Tokens expire. Use `expiresAt` or `expiresIn` to control TTL.
- Store feedback metadata with your message history so users can rate later.
<|endoftext|>
# source: VoltAgent__voltagent/website/observability/amazon-bedrock.md type: docs
---
title: Amazon Bedrock
---
# Amazon Bedrock
🚧 **Coming Soon**
We're developing integration with [Amazon Bedrock](https://aws.amazon.com/bedrock/) - AWS's fully managed foundation model service.
## Want to be notified when it's ready?
- **Email**: [info@voltagent.dev](mailto:info@voltagent.dev)
- **Discord**: [Join our community](https://s.voltagent.dev/discord)
- **X**: [@voltagent_dev](https://x.com/voltagent_dev)
<|endoftext|>
# source: VoltAgent__voltagent/website/observability/mental-model.md type: docs
---
title: Mental Model
hide_table_of_contents: true
---
# Mental Model
This page shows the minimum mental model you need to open a VoltOps trace and understand what happened.
AI agents are hard to debug if you only look at final output.
VoltOps solves this by showing each run as a trace with step-level spans.
## One Request, One Trace
```mermaid
sequenceDiagram
participant U as User
participant T as Trace (traceId)
participant A as Agent span
participant L as LLM span
participant O as Tool span
U->>T: Send request
T->>A: Start agent step
A->>L: Generate response
L->>O: Call tool (if needed)
O-->>A: Return tool result
A-->>T: Complete execution
T-->>U: Final response
```
In VoltOps:
- A **trace** is one end-to-end execution.
- A **span** is one operation inside that execution.
- Spans are connected by parent-child relationships and rendered as nodes.
<|endoftext|>
# source: VoltAgent__voltagent/website/observability/dashboard.md type: docs
---
title: Dashboard
---
# Dashboard
<video controls loop muted playsInline style={{width: '100%', height: 'auto'}}>
<source src="https://cdn.voltagent.dev/docs/voltop-docs/dashboard.mp4" type="video/mp4" />
Your browser does not support the video tag.
</video>
<br/>
<br/>
The Analytics Dashboard provides real-time visibility into your AI agent performance, costs, and usage patterns. It organizes metrics into six sections: Overview, Cost & Usage, Latency, Tool Usage, Agent/Workflow Usage, and Prompt Analytics.
## Time Range Selection
Select a time range from the dropdown:
- 1 hour, 3 hours, 6 hours, 9 hours, 12 hours