You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Source report:#6363 Estimated cost per run: $8.78 AIC Total tokens per run: ~258K Cache hit rate: unknown (single run in report) LLM turns: unknown (turn count not in export) Run duration: 5.8 minutes GitHub API calls: 10
1. Remove container JS provider scan from pre-agent steps and prompt
Estimated savings: ~40–60K tokens/run (~15–23%)
The prompt body instructs the agent to consider containers/api-proxy/providers/*.js (13 provider files). The agent reads these via bash, loading each file into context. Remove the provider adapter grep loop and its prompt reference:
# In Grep pattern analysis step — delete this block:- echo '=== Provider adapter patterns ==='- for f in containers/api-proxy/providers/*.js; do- echo "--- $f ---"- grep -n '^function|^const.*=.*function|^module.exports' "$f" | head -10- done
Also remove containers/api-proxy/providers/*.js from the Pre-Computed Analysis section in the prompt body, and remove it from the Repository Context source file list. This eliminates the trigger for agent follow-up reads of 13 JS files (~26K tokens at ~2K/file).
2. Cap jscpd output from 15 to 8 entries and halve grep head limits
Estimated savings: ~15–25K tokens/run (~6–10%)
The jscpd-top.json top-15 includes low-signal results for this small codebase (~24 TypeScript source files). Cut to 8:
- | .[0:15]+ | .[0:8]
Reduce grep head limits in the Grep pattern analysis step:
- grep -rn 'process\.env\.' src/ --include='*.ts' | grep -v test | head -20+ grep -rn 'process\.env\.' src/ --include='*.ts' | grep -v test | head -10- grep -n 'execa|execaSync|docker.*run|docker.*exec' src/docker-manager.ts | head -20+ grep -n 'execa|execaSync|docker.*run|docker.*exec' src/docker-manager.ts | head -10
3. Shrink the scoring rubric and prompt boilerplate
Estimated savings: ~10–15K tokens/run (~4–6%)
The prompt has an 8-row scoring table, multi-paragraph phase headers, and a verbose example issue template. Specific cuts:
Replace the | Factor | Points | scoring table with a one-liner: "Prioritize by line count, security impact, and maintenance burden."
Collapse Phase 5 / Phase 6 headers into inline instructions
Shorten the issue body template by removing --- horizontal rules and boilerplate run-date line
~800 bytes removable without changing agent behavior.
4. Replace npm install -g jscpd with npx
Estimated savings: ~30–45 seconds run time per invocation (shorter session = lower AIC)
- npm install -g jscpd 2>&1 | tail -3+ # use npx; no global install needed
Target Workflow:
duplicate-code-detectorSource report: #6363
Estimated cost per run: $8.78 AIC
Total tokens per run: ~258K
Cache hit rate: unknown (single run in report)
LLM turns: unknown (turn count not in export)
Run duration: 5.8 minutes
GitHub API calls: 10
Current Configuration
github(toolsets: issues),bashgithubRecommendations
1. Remove container JS provider scan from pre-agent steps and prompt
Estimated savings: ~40–60K tokens/run (~15–23%)
The prompt body instructs the agent to consider
containers/api-proxy/providers/*.js(13 provider files). The agent reads these viabash, loading each file into context. Remove the provider adapter grep loop and its prompt reference:Also remove
containers/api-proxy/providers/*.jsfrom the Pre-Computed Analysis section in the prompt body, and remove it from the Repository Context source file list. This eliminates the trigger for agent follow-up reads of 13 JS files (~26K tokens at ~2K/file).2. Cap jscpd output from 15 to 8 entries and halve grep head limits
Estimated savings: ~15–25K tokens/run (~6–10%)
The
jscpd-top.jsontop-15 includes low-signal results for this small codebase (~24 TypeScript source files). Cut to 8:Reduce grep head limits in the Grep pattern analysis step:
3. Shrink the scoring rubric and prompt boilerplate
Estimated savings: ~10–15K tokens/run (~4–6%)
The prompt has an 8-row scoring table, multi-paragraph phase headers, and a verbose example issue template. Specific cuts:
| Factor | Points |scoring table with a one-liner: "Prioritize by line count, security impact, and maintenance burden."---horizontal rules and boilerplate run-date line~800 bytes removable without changing agent behavior.
4. Replace
npm install -g jscpdwithnpxEstimated savings: ~30–45 seconds run time per invocation (shorter session = lower AIC)
5. Raise jscpd thresholds to reduce noise
Estimated savings: ~5–10K tokens/run (~2–4%)
Low thresholds (
--min-lines 10 --min-tokens 50) generate many marginal findings. Raise:Fewer entries in
jscpd-top.jsonmeans shorter agent context and less time processing low-value results.Expected Impact
Implementation Checklist
Run jscpdstep: change.[0:15]to.[0:8]Grep pattern analysisstep: changehead -20tohead -10for both grep patternsGrep pattern analysisstep: remove the provider adapter loop entirelycontainers/api-proxy/providers/*.jsfrom Repository Context and Pre-Computed Analysisnpm install -g jscpdwithnpx --yes jscpd@latest--min-lines 15 --min-tokens 70gh aw compile .github/workflows/duplicate-code-detector.mdworkflow_dispatchand compare token usage vs 258K baselineWarning
Firewall blocked 1 domain
The following domain was blocked by the firewall during workflow execution:
awmgmcpgSee Network Configuration for more information.