feat: Token usage details logging for tracking#1003
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Dhruvkumar-Microsoft wants to merge 6 commits into
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feat: Token usage details logging for tracking#1003Dhruvkumar-Microsoft wants to merge 6 commits into
Dhruvkumar-Microsoft wants to merge 6 commits into
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Purpose
This pull request introduces comprehensive tracking and reporting of token usage for agents and models throughout the orchestration and API layers. The changes enable detailed monitoring of token consumption per agent and model, real-time updates via WebSocket, and improved logging and analytics for Responsible AI (RAI) checks. The most important changes are grouped below.
Token Usage Tracking and Reporting Enhancements:
Plandata model to record total input, output, and overall token counts, as well as detailed usage breakdowns by agent and model, and orchestration execution times. (src/backend/common/models/messages_af.py)TokenUsageUpdatedataclass and a new WebSocket message type (TOKEN_USAGE_UPDATE) to support real-time reporting of token usage per agent, including cumulative statistics. (src/backend/v4/models/messages.py) [1] [2]src/backend/v4/orchestration/orchestration_manager.py,src/backend/v4/config/settings.py) [1] [2] [3] [4]Responsible AI (RAI) Compliance and Analytics:
src/backend/common/utils/utils_af.py,src/backend/v4/api/router.py) [1] [2] [3] [4] [5]src/backend/v4/api/router.py) [1] [2]These changes lay the groundwork for robust observability of LLM agent and model usage, facilitate cost and compliance monitoring, and enable real-time feedback to clients about token consumption.
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