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Add in-process token usage aggregation that flows from agent process
through heartbeat push to CRD status and VS Code plugin.
SDK (TypeScript):
- UsageLedger class: O(1) record(), snapshot with window reset
- Reporter heartbeat payload now includes usage field
- Exported UsageLedger, UsageSnapshot, ModelUsageEntry from @agentspec/sdk
Sidecar:
- GET /usage endpoint aggregates modelCalls from the audit ring
Control Plane (Python):
- HeartbeatRequest accepts optional usage field
- Heartbeat DB model stores usage (nullable JSON column)
- build_status_patch forwards usage to CRD status
- GET /agents/{name}/usage endpoint
- Extracted _get_validated_field helper to deduplicate endpoint pattern
Operator:
- AgentObservation CRD: status.usage object + Tokens printer column
sdk-langgraph (Python):
- UsageLedger class (thread-safe, mirrors TypeScript API)
- instrument_call_model accepts optional ledger parameter
- Negative token values clamped to 0, snapshot copies are immutable
Tests: 32 new tests across SDK, sidecar, control-plane, sdk-langgraph
- README: add "Track token usage" to feature list, mention /usage sidecar endpoint, add kubectl token column example - operating-modes.md: add GET /usage to sidecar and operator endpoint tables - runtime-introspection.md: new "Token Usage Tracking" section covering UsageLedger API, data flow, sidecar/operator query endpoints, CRD visibility, and VS Code rendering
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Add in-process token usage aggregation that flows from agent process through heartbeat push to CRD status and VS Code plugin.
SDK (TypeScript):
Sidecar:
Control Plane (Python):
Operator:
sdk-langgraph (Python):
Tests: 32 new tests across SDK, sidecar, control-plane, sdk-langgraph