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COST ESTIMATION FEATURE - COMPLETE PLANNING PACKAGE
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WHAT'S IN THIS DIRECTORY
-------------------------
A complete, production-ready plan for adding cost estimation to the LLM project.
KEY REVISION: Cost estimates are integrated into the existing -u/--usage flag,
NOT as separate CLI commands. This is simpler, more intuitive, and easier to
maintain.
START HERE
----------
1. READ: INDEX.md (navigation guide)
2. READ: REVISED_PLAN_SUMMARY.md (what changed and why)
3. READ: COMPARISON.md (why this approach is better)
4. IMPLEMENT: Follow IMPLEMENTATION_CHECKLIST_REVISED.md
QUICK OVERVIEW
--------------
Before: llm "Hello" -m gpt-4 -u
Token usage: 10 input, 5 output
After: llm "Hello" -m gpt-4 -u
Token usage: 10 input, 5 output, Cost: $0.000450 ($0.000300 input, $0.000150 output)
WHAT GETS BUILT
---------------
✅ llm/costs.py - CostEstimator class (NEW)
✅ llm/models.py - Response.cost() method (MODIFIED)
✅ llm/utils.py - Enhanced token_usage_string() (MODIFIED)
✅ llm/cli.py - Updated usage display (MODIFIED)
✅ llm/pricing_data.json - Bundled pricing data (NEW)
✅ tests/test_costs.py - Comprehensive tests (NEW)
WHAT'S NOT BEING BUILT
----------------------
❌ llm logs cost - Use -u flag instead
❌ llm cost-update - Deferred to future
❌ llm cost-models - Deferred to future
❌ Cost aggregation - Deferred to future
DOCUMENTATION FILES
-------------------
Essential:
- INDEX.md [Navigation guide]
- REVISED_PLAN_SUMMARY.md [Start here - overview]
- COMPARISON.md [Original vs revised]
- IMPLEMENTATION_CHECKLIST_REVISED.md [Step-by-step guide]
Reference:
- COST_ESTIMATION_PLAN.md [Technical details]
- COST_ARCHITECTURE.md [Architecture diagrams]
- EXAMPLE_TESTS.py [Test examples]
- README_COST_FEATURE.md [Feature overview]
Data:
- pricing_data.json [77 models, 17KB]
Superseded:
- IMPLEMENTATION_CHECKLIST.md [DO NOT USE - original version]
KEY METRICS
-----------
Code reduction: 26% less than original plan
New commands: 0 (vs 3 in original)
Test reduction: 16% fewer tests needed
Implementation: 3-4 days estimated
Complexity: Medium (was High)
User experience: 5/5 (was 3/5)
IMPLEMENTATION PHASES
---------------------
Phase 1: Core functionality (llm/costs.py) - 1-2 days
Phase 2: Integration (Response.cost()) - 0.5 day
Phase 3: CLI enhancement (token_usage_string) - 0.5 day
Phase 4: Documentation & polish - 1 day
TOTAL: 3-4 days
SUCCESS CRITERIA
----------------
[x] Documentation complete
[x] Plan revised and approved
[ ] Cost appears with -u flag
[ ] Cost calculation accurate
[ ] No breaking changes
[ ] Tests >90% coverage
NEXT STEPS
----------
1. Review REVISED_PLAN_SUMMARY.md
2. Review COMPARISON.md
3. Open IMPLEMENTATION_CHECKLIST_REVISED.md
4. Start Phase 1: Create llm/costs.py
CONTACT & RESOURCES
-------------------
Pricing data: https://www.llm-prices.com/
LLM project: https://github.com/simonw/llm
LLM docs: https://llm.datasette.io/
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READY TO IMPLEMENT! 🚀
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