DESKTOP-RTLN3BA\$punk b6e378b070 feat(runs): introduce Run and ToolOutputSpill models for logging scraper invocations ... - Added `Run` model to track scraper invocations, including metadata such as status, input, and output. - Implemented `ToolOutputSpill` model to store context-editing spills separately from user-facing logs. - Updated middleware to handle spill placeholders and integrate with the new models. - Enhanced REST API to record runs and expose run history through new endpoints. - Adjusted tests to validate the new run logging functionality and ensure proper integration with existing capabilities.		2026-07-04 22:55:55 -07:00
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access	feat(runs): introduce Run and ToolOutputSpill models for logging scraper invocations	2026-07-04 22:55:55 -07:00
__init__.py	refactor(capabilities): group framework into core/, keep verbs top-level	2026-07-02 19:54:20 +02:00
billing.py	refactor(capabilities): group framework into core/, keep verbs top-level	2026-07-02 19:54:20 +02:00
runs.py	feat(runs): introduce Run and ToolOutputSpill models for logging scraper invocations	2026-07-04 22:55:55 -07:00
store.py	refactor(capabilities): group framework into core/, keep verbs top-level	2026-07-02 19:54:20 +02:00
types.py	refactor(capabilities): group framework into core/, keep verbs top-level	2026-07-02 19:54:20 +02:00