0.19.0

Experiment to Optimize System Prompt

We will store JSONL files in arbigent-result/ containing requestBody and responseBody data. User feedback from the interface can also be recorded in arbigent-result/ to enable AI-driven optimization.

The current system prompt was developed through trial and error. We plan to implement the COPRO optimization method using collected request-response pairs as training data. While not yet implemented, we have sample code for prompt optimization.

Failed Cache Removal

We encountered recurring failures due to preserved AI decision caches after unsuccessful tests. This was resolved by automatically removing corresponding cache entries when tests fail.

What's Changed

• Add experimental methods for maintain ssot by @takahirom in #123
• Remove failed cache by @takahirom in #127
• Save API call jsonl and add feedback feature by @takahirom in #124

Full Changelog: 0.18.0...0.19.0