* 🔧 refactor: Improve token calculation in AgentClient.recordCollectedUsage
- Updated the token calculation logic to sum output tokens directly from all entries, addressing issues with negative values in parallel execution scenarios.
- Added comments for clarity on the usage of input tokens and output tokens.
- Introduced a new test file for comprehensive testing of the recordCollectedUsage function, covering various execution scenarios including sequential and parallel processing, cache token handling, and model fallback logic.
* 🔧 refactor: Anthropic `promptCache` handling in LLM configuration
* 🔧 test: Add comprehensive test for cache token handling in recordCollectedUsage
- Introduced a new test case to validate the handling of cache tokens across multiple tool calls in the recordCollectedUsage function.
- Ensured correct calculations for input and output tokens, including scenarios with cache creation and reading.
- Verified the expected interactions with token spending methods to enhance the robustness of the token management logic.
