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