The Design Decision Gate workflow exhibits high turn-count variance (3 to 12 turns per run, avg 5.2) according to the observability insight from the 2026-04-23 workflow log analysis. This was originally flagged as a P1 (#27470) in the Apr 20 DeepReport after escalation from 4→8→10 turns across consecutive runs, and remains unresolved. Today's API consumption report shows Design Decision Gate is the #2 API consumer (2,756 calls, 26% of total), making instability doubly expensive.
Description: Audit recent Design Decision Gate runs to identify why turn count varies so widely. The original P1 filing noted that the workflow assumes a 5-turn execution path but real runs require 6+ turns. Increase max_turns to 15 to stop premature exits, and review the workflow prompt to reduce non-deterministic branching.
Expected Impact: Eliminates P1 recurring failure and reduces API consumption variance. Predictable turn counts allow better capacity planning and cost forecasting.
Suggested Agent: Any agent with agenticworkflows MCP access to audit DDG runs + write access to .github/workflows/design-decision-gate.md.
Estimated Effort: Fast (< 30 min for max_turns increase; medium if prompt revision needed)
Data Source: DeepReport Intelligence Briefing 2026-04-23, observability insight (turn drift), API Consumption Report #27927, P1 issue #27470
Generated by DeepReport - Intelligence Gathering Agent · ● 494.2K · ◷
The Design Decision Gate workflow exhibits high turn-count variance (3 to 12 turns per run, avg 5.2) according to the observability insight from the 2026-04-23 workflow log analysis. This was originally flagged as a P1 (#27470) in the Apr 20 DeepReport after escalation from 4→8→10 turns across consecutive runs, and remains unresolved. Today's API consumption report shows Design Decision Gate is the #2 API consumer (2,756 calls, 26% of total), making instability doubly expensive.
Description: Audit recent Design Decision Gate runs to identify why turn count varies so widely. The original P1 filing noted that the workflow assumes a 5-turn execution path but real runs require 6+ turns. Increase
max_turnsto 15 to stop premature exits, and review the workflow prompt to reduce non-deterministic branching.Expected Impact: Eliminates P1 recurring failure and reduces API consumption variance. Predictable turn counts allow better capacity planning and cost forecasting.
Suggested Agent: Any agent with
agenticworkflowsMCP access to audit DDG runs + write access to.github/workflows/design-decision-gate.md.Estimated Effort: Fast (< 30 min for max_turns increase; medium if prompt revision needed)
Data Source: DeepReport Intelligence Briefing 2026-04-23, observability insight (turn drift), API Consumption Report #27927, P1 issue #27470