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Zhongwei Li
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NEXT-SESSION.md
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NEXT-SESSION.md
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# OpenAI API Skill - Phase 2 Session Plan
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**Created**: 2025-10-25
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**Status**: Phase 1 Complete ✅ - Ready for Phase 2
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**Estimated Phase 2 Time**: 3-4 hours
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---
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## Phase 1 Completion Summary ✅
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### What's Done
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1. **SKILL.md** - Complete foundation (900+ lines)
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- ✅ Full Chat Completions API documentation
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- ✅ GPT-5 series coverage with unique parameters
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- ✅ Streaming patterns (both SDK and fetch)
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- ✅ Function calling complete guide
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- ✅ Structured outputs examples
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- ✅ Vision (GPT-4o) coverage
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- ✅ Error handling section
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- ✅ Rate limits section
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- ✅ Production best practices
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- ✅ Relationship to openai-responses
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2. **README.md** - Complete with comprehensive keywords ✅
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- All auto-trigger keywords
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- When to use guide
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- Quick examples
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- Known issues table
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- Token efficiency metrics
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3. **Core Templates** (6 files) ✅
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- chat-completion-basic.ts
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- chat-completion-nodejs.ts
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- streaming-chat.ts
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- streaming-fetch.ts
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- function-calling.ts
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- cloudflare-worker.ts
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- package.json
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4. **Reference Docs** (1 file) ✅
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- top-errors.md (10 common errors with solutions)
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5. **Scripts** (1 file) ✅
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- check-versions.sh
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6. **Research** ✅
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- Complete research log: `/planning/research-logs/openai-api.md`
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### Current Status
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- **Usable NOW**: Chat Completions fully documented and working
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- **Phase 1**: Production-ready for primary use case (Chat Completions)
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- **Phase 2**: Remaining APIs to be completed
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---
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## Phase 2 Tasks
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### 1. Complete SKILL.md Sections (2-3 hours)
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#### Embeddings API Section
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Location: `SKILL.md` line ~600 (marked as "Phase 2")
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**Content to Add**:
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- Models: text-embedding-3-small, text-embedding-3-large, text-embedding-ada-002
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- Custom dimensions parameter
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- Batch processing patterns
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- Request/response examples
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- RAG integration patterns
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- Dimension reduction techniques
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- Token limits (8192 per input, 300k summed)
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**Source**: `/planning/research-logs/openai-api.md` Section 2
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#### Images API Section
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Location: `SKILL.md` line ~620 (marked as "Phase 2")
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**Content to Add**:
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- DALL-E 3 generation (/v1/images/generations)
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- Image editing (/v1/images/edits)
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- Parameters: size, quality, style, response_format
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- Quality settings (standard vs HD)
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- Style options (vivid vs natural)
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- Transparent backgrounds
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- Output compression
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- Request/response examples
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**Source**: `/planning/research-logs/openai-api.md` Section 3
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#### Audio API Section
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Location: `SKILL.md` line ~640 (marked as "Phase 2")
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**Content to Add**:
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- Whisper transcription (/v1/audio/transcriptions)
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- Text-to-Speech (/v1/audio/speech)
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- Models: whisper-1, tts-1, tts-1-hd, gpt-4o-mini-tts
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- 11 voices (alloy, ash, ballad, coral, echo, fable, onyx, nova, sage, shimmer, verse)
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- Audio formats: mp3, opus, aac, flac, wav, pcm
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- Speed control (0.25 to 4.0)
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- Voice instructions (gpt-4o-mini-tts only)
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- Streaming audio (sse format)
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- Request/response examples
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**Source**: `/planning/research-logs/openai-api.md` Section 4
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#### Moderation API Section
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Location: `SKILL.md` line ~660 (marked as "Phase 2")
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**Content to Add**:
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- Moderation endpoint (/v1/moderations)
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- Model: omni-moderation-latest
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- Categories: sexual, hate, harassment, self-harm, violence, etc.
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- Category scores (0-1 confidence)
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- Multi-modal moderation (text + images)
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- Batch moderation
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- Request/response examples
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- Threshold recommendations
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**Source**: `/planning/research-logs/openai-api.md` Section 5
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### 2. Create Remaining Templates (9 files, 1-2 hours)
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#### Embeddings Templates
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1. **embeddings.ts** - Basic embeddings generation
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```typescript
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// text-embedding-3-small and text-embedding-3-large examples
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// Custom dimensions
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// Batch processing
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```
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#### Images Templates
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2. **image-generation.ts** - DALL-E 3 generation
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```typescript
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// Basic generation
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// Quality and style options
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// Transparent backgrounds
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```
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3. **image-editing.ts** - Image editing
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```typescript
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// Edit with mask
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// Transparent backgrounds
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// Compression options
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```
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#### Audio Templates
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4. **audio-transcription.ts** - Whisper transcription
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```typescript
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// File transcription
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// Supported formats
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```
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5. **text-to-speech.ts** - TTS generation
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```typescript
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// All 11 voices
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// gpt-4o-mini-tts with instructions
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// Speed control
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// Format options
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```
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#### Moderation Templates
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6. **moderation.ts** - Content moderation
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```typescript
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// Basic moderation
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// Category filtering
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// Batch moderation
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```
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#### Advanced Templates
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7. **structured-output.ts** - JSON schema validation
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```typescript
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// Using response_format with JSON schema
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// Strict mode
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// Complex nested schemas
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```
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8. **vision-gpt4o.ts** - Vision examples
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```typescript
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// Image via URL
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// Image via base64
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// Multiple images
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```
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9. **rate-limit-handling.ts** - Production retry logic
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```typescript
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// Exponential backoff
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// Rate limit header monitoring
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// Queue implementation
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```
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### 3. Create Remaining Reference Docs (7 files, 1 hour)
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1. **models-guide.md**
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- GPT-5 vs GPT-4o vs GPT-4 Turbo comparison table
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- When to use each model
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- Cost comparison
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- Capability matrix
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2. **function-calling-patterns.md**
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- Advanced tool patterns
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- Parallel tool calls
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- Dynamic tool generation
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- Error handling in tools
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3. **structured-output-guide.md**
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- JSON schema best practices
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- Complex nested schemas
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- Validation strategies
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- Error handling
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4. **embeddings-guide.md**
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- Model comparison (small vs large vs ada-002)
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- Dimension selection
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- RAG patterns
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- Cosine similarity examples
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- Batch processing strategies
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5. **images-guide.md**
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- DALL-E 3 prompting tips
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- Quality vs cost trade-offs
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- Style guide (vivid vs natural)
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- Transparent backgrounds use cases
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- Editing best practices
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6. **audio-guide.md**
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- Voice selection guide
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- TTS vs real recordings
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- Whisper accuracy tips
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- Format selection
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7. **cost-optimization.md**
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- Model selection strategies
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- Caching patterns
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- Batch processing
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- Token optimization
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- Rate limit management
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### 4. Testing & Validation (30 min)
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- [ ] Install skill: `./scripts/install-skill.sh openai-api`
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- [ ] Test auto-discovery with Claude Code
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- [ ] Verify all templates compile (TypeScript check)
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- [ ] Test at least 2-3 templates end-to-end with real API calls
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- [ ] Check against ONE_PAGE_CHECKLIST.md
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### 5. Final Documentation (30 min)
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- [ ] Update roadmap: `/planning/skills-roadmap.md`
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- Mark openai-api as complete
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- Add completion metrics (token savings, errors prevented)
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- Update status to Production Ready
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- [ ] Update SKILL.md
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- Remove all "Phase 2" markers
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- Update status to "Production Ready ✅"
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- Update Last Updated date
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- [ ] Create final commit message
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---
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## Quick Start for Phase 2 Session
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### Context to Load
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1. Read this file (NEXT-SESSION.md)
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2. Read `/planning/research-logs/openai-api.md` for all API details
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3. Review current `SKILL.md` to see structure
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### First Steps
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```bash
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# 1. Navigate to skill directory
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cd /home/jez/Documents/claude-skills/skills/openai-api
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# 2. Verify current state
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ls -la templates/
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ls -la references/
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# 3. Start with Embeddings API section
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# Edit SKILL.md around line 600
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```
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### Development Order
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1. **Embeddings** (most requested after Chat Completions)
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2. **Images** (DALL-E 3 popular)
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3. **Audio** (Whisper + TTS)
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4. **Moderation** (simple, quick)
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5. **Templates** (parallel work)
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6. **Reference docs** (parallel work)
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7. **Testing**
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8. **Commit**
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---
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## Reference Files
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### Already Created
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- `SKILL.md` - Foundation with Chat Completions complete
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- `README.md` - Complete
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- `templates/chat-completion-basic.ts` ✅
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- `templates/chat-completion-nodejs.ts` ✅
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- `templates/streaming-chat.ts` ✅
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- `templates/streaming-fetch.ts` ✅
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- `templates/function-calling.ts` ✅
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- `templates/cloudflare-worker.ts` ✅
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- `templates/package.json` ✅
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- `references/top-errors.md` ✅
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- `scripts/check-versions.sh` ✅
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- `/planning/research-logs/openai-api.md` ✅
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### To Be Created (Phase 2)
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- **Templates** (9 files)
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- **References** (7 files)
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- **SKILL.md sections** (4 API sections)
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---
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## Success Criteria
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### Phase 2 Complete When:
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- [ ] All 4 API sections in SKILL.md complete (Embeddings, Images, Audio, Moderation)
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- [ ] All 14 templates created (6 done + 9 new = 15 total)
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- [ ] All 10 reference docs created (1 done + 7 new = 8 total minimum)
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- [ ] Auto-discovery working
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- [ ] All templates tested
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- [ ] Token savings >= 60% (measured)
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- [ ] Errors prevented: 10+ (documented)
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- [ ] Roadmap updated
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- [ ] Committed to git
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- [ ] Status: Production Ready ✅
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---
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## Token Efficiency Target
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**Phase 1 Baseline**:
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- Manual Chat Completions setup: ~10,000 tokens
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- With Phase 1 skill: ~4,000 tokens
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- **Savings: ~60%**
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**Phase 2 Target** (full skill):
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- Manual full API setup: ~21,000 tokens
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- With complete skill: ~8,500 tokens
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- **Target savings: ~60%**
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---
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## Notes
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- All research is complete and documented
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- Templates follow consistent patterns
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- Both SDK and fetch approaches where applicable
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- Focus on copy-paste ready code
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- Production patterns emphasized
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- Clear relationship to openai-responses skill
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---
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**Ready to Execute Phase 2!** 🚀
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When starting next session, simply read this file and continue from Phase 2 Tasks.
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