Eval results can be exported from the dashboard for sharing with stakeholders, feeding into BI tools, or archiving outside MIRA.Documentation Index
Fetch the complete documentation index at: https://docs.mira-app.dev/llms.txt
Use this file to discover all available pages before exploring further.
Export formats
| Format | Best for |
|---|---|
| CSV | Spreadsheet analysis, reporting, pivot tables |
| JSON | Programmatic processing, long-term archiving |
Exporting results
- Open the Eval Studio (Flask icon → Dashboard).
- Click a conversation card to open the run detail view.
- Click Export → CSV or Export → JSON.
- Choose a save location.
CSV schema
Each row represents one eval result for a captured agent response:| Column | Description |
|---|---|
conversation_id | Identifier for the captured agent response |
captured_at | ISO 8601 timestamp of when the response was captured |
eval_name | Name of the eval definition |
eval_type | rule, llm_judge, similarity, or metric |
input | The prompt sent to the engine |
output | The engine’s response |
score | Numeric score (0–1 for llm_judge/similarity; 1/0 for rule; raw value for metric) |
pass | true or false |
reasoning | LLM judge reasoning text, if applicable |
human_override_score | Human reviewer score (0–1), if submitted |
human_override_note | Human reviewer comment, if submitted |
JSON schema
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