aiwg
Version:
Deployment tool and support utility for AI context. Copies agents, skills, commands, rules, and behaviors into the paths each AI platform reads (Claude Code, Codex, Copilot, Cursor, Warp, OpenClaw, and 6 more) so one source of truth works across 10 platfo
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Markdown
# Cost Estimate — {{pipeline_name}}
Generated: {{date}}
Monthly volume: {{monthly_volume}} calls
## Per-Call Cost
| Step | Model | Input tokens | Output tokens | Cost/call |
|------|-------|-------------|--------------|-----------|
| {{step_name}} | {{model}} | {{input_tokens}} | {{output_tokens}} | ${{cost_per_call}} |
| **Total** | | | | **${{total_cost_per_call}}** |
## Monthly Projections
| Scenario | Monthly cost |
|----------|-------------|
| No optimization | ${{monthly_no_opt}} |
| With prompt caching | ${{monthly_with_cache}} |
| After all optimizations | ${{monthly_optimized}} |
| Potential savings | {{savings_pct}}% |
## Model Selection Rationale
**{{model}}** selected for this pipeline because:
- {{model_rationale}}
Haiku feasibility: {{haiku_feasibility}}
## Caching Opportunities
{{caching_analysis}}
## Optimization Recommendations
{{optimization_recommendations}}
*Generated by `aiwg nlp estimate-cost {{pipeline_name}}` — update after prompt changes*