docs: update Phase 3 status and acceptance criteria#67
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- Document Phase 3 as future enhancement with multiple implementation options - Update acceptance criteria with current status - Update action items with completed/pending items
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📝 WalkthroughWalkthroughThe planning document adds Phase 3 as a future enhancement for per-request token rollup with three implementation options. Acceptance criteria are restructured into a status table, and action items are reorganized into Completed and Pending subsections. Changes
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🧹 Nitpick comments (1)
docs/planning/request_to_token_attribution.md (1)
102-123: Well-structured Phase 3 options.The three implementation options are clearly described with good trade-offs. The recommendation to start with Option C (downstream aggregation) makes sense for minimizing gateway changes.
Consider clarifying the latency note in the recommendation. The current phrasing "If latency is an issue, consider Option B" could be expanded to explain why downstream aggregation (Option C) has higher latency (because aggregation happens later in the pipeline, after data reaches analytics) and how Option B reduces it (by aggregating earlier in the OTEL collector).
📝 Optional clarification
-**Recommendation:** Start with Option C (downstream aggregation) as it requires no changes to the gateway. If latency is an issue, consider Option B. +**Recommendation:** Start with Option C (downstream aggregation) as it requires no changes to the gateway. If aggregation latency is a concern (since rollups are computed in the analytics layer), consider Option B (OTEL Collector aggregation) to produce rollup events earlier in the pipeline.🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed. In `@docs/planning/request_to_token_attribution.md` around lines 102 - 123, Update the recommendation text in "Phase 3: Per-Request Rollup" to clarify the latency trade-off: explicitly state that Option C (Downstream Aggregation) can exhibit higher latency because aggregation happens later in the pipeline when spans reach pvc-costops-analytics, and that Option B (OTEL Collector Aggregation) reduces latency by performing aggregation earlier in the telemetry pipeline (within the OTEL collector) and emitting rollup events sooner; reference Option C and Option B by name in the sentence so readers can immediately see the cause-and-effect relationship.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.
Nitpick comments:
In `@docs/planning/request_to_token_attribution.md`:
- Around line 102-123: Update the recommendation text in "Phase 3: Per-Request
Rollup" to clarify the latency trade-off: explicitly state that Option C
(Downstream Aggregation) can exhibit higher latency because aggregation happens
later in the pipeline when spans reach pvc-costops-analytics, and that Option B
(OTEL Collector Aggregation) reduces latency by performing aggregation earlier
in the telemetry pipeline (within the OTEL collector) and emitting rollup events
sooner; reference Option C and Option B by name in the sentence so readers can
immediately see the cause-and-effect relationship.
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Configuration used: defaults
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docs/planning/request_to_token_attribution.md
…commendation - Add note about OTLP collector endpoint requirement for Phase 1 - Add privacy note about user_id/actor_id (consider hashing/pseudonymizing) - Update Phase 3 recommendation to prefer Option C (downstream aggregation) - Update Terraform integration notes per team recommendation: ai-gateway keeps owning its Terraform
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