action #159297
Updated by livdywan 28 days ago
## Motivation
As a SLE maintenance test reviewer I would like an AI chat prompt in openQA to give me back a specific combination of openQA test failures based on search parameters using human language so that I don't need to access the raw SQL database and learn SQL
## Acceptance criteria
* **AC1:** openQA returns a corresponding /tests/overview URL showing results based on human language requests in an AI chat prompt accessible over the openQA webUI using common search parameters like "test name", "result", "version", "arch", "machine"
* **AC2:** If there are no matching results the AI chat prompt returns useful pointers to documentation, examples, etc.
* **AC3:** No significant detrimental performance impact on the openQA webUI
* **AC4:** It's still possible to access openQA results without needing to use an AI chat prompt
* **AC5:** We have access to a usage counter of the chat prompt
## Suggestions
* Potentially extract a spike solution first, e.g. "[spike][timeboxed:10h] AI chat prompt in openQA returning (any) test results based on request" with goals
* **G1:** We know the impact on necessary changes to the database structure needed for AI chat prompt queries
* **G2:** The performance impact on running a local AI component was measured