gh-jezweb-claude-skills-skills-openai-api/NEXT-SESSION.md

OpenAI API Skill - Phase 2 Session Plan

Created: 2025-10-25 Status: Phase 1 Complete ✅ - Ready for Phase 2 Estimated Phase 2 Time: 3-4 hours

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Phase 1 Completion Summary ✅

What's Done

1. SKILL.md - Complete foundation (900+ lines)

   • ✅ Full Chat Completions API documentation
   • ✅ GPT-5 series coverage with unique parameters
   • ✅ Streaming patterns (both SDK and fetch)
   • ✅ Function calling complete guide
   • ✅ Structured outputs examples
   • ✅ Vision (GPT-4o) coverage
   • ✅ Error handling section
   • ✅ Rate limits section
   • ✅ Production best practices
   • ✅ Relationship to openai-responses

2. README.md - Complete with comprehensive keywords ✅

   • All auto-trigger keywords
   • When to use guide
   • Quick examples
   • Known issues table
   • Token efficiency metrics

3. Core Templates (6 files) ✅

   • chat-completion-basic.ts
   • chat-completion-nodejs.ts
   • streaming-chat.ts
   • streaming-fetch.ts
   • function-calling.ts
   • cloudflare-worker.ts
   • package.json

4. Reference Docs (1 file) ✅

   • top-errors.md (10 common errors with solutions)

5. Scripts (1 file) ✅

   • check-versions.sh

6. Research ✅

   • Complete research log: /planning/research-logs/openai-api.md

Current Status

• Usable NOW: Chat Completions fully documented and working
• Phase 1: Production-ready for primary use case (Chat Completions)
• Phase 2: Remaining APIs to be completed

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Phase 2 Tasks

1. Complete SKILL.md Sections (2-3 hours)

Embeddings API Section

Location: SKILL.md line ~600 (marked as "Phase 2")

Content to Add:

• Models: text-embedding-3-small, text-embedding-3-large, text-embedding-ada-002
• Custom dimensions parameter
• Batch processing patterns
• Request/response examples
• RAG integration patterns
• Dimension reduction techniques
• Token limits (8192 per input, 300k summed)

Source: /planning/research-logs/openai-api.md Section 2

Images API Section

Location: SKILL.md line ~620 (marked as "Phase 2")

Content to Add:

• DALL-E 3 generation (/v1/images/generations)
• Image editing (/v1/images/edits)
• Parameters: size, quality, style, response_format
• Quality settings (standard vs HD)
• Style options (vivid vs natural)
• Transparent backgrounds
• Output compression
• Request/response examples

Source: /planning/research-logs/openai-api.md Section 3

Audio API Section

Location: SKILL.md line ~640 (marked as "Phase 2")

Content to Add:

• Whisper transcription (/v1/audio/transcriptions)
• Text-to-Speech (/v1/audio/speech)
• Models: whisper-1, tts-1, tts-1-hd, gpt-4o-mini-tts
• 11 voices (alloy, ash, ballad, coral, echo, fable, onyx, nova, sage, shimmer, verse)
• Audio formats: mp3, opus, aac, flac, wav, pcm
• Speed control (0.25 to 4.0)
• Voice instructions (gpt-4o-mini-tts only)
• Streaming audio (sse format)
• Request/response examples

Source: /planning/research-logs/openai-api.md Section 4

Moderation API Section

Location: SKILL.md line ~660 (marked as "Phase 2")

Content to Add:

• Moderation endpoint (/v1/moderations)
• Model: omni-moderation-latest
• Categories: sexual, hate, harassment, self-harm, violence, etc.
• Category scores (0-1 confidence)
• Multi-modal moderation (text + images)
• Batch moderation
• Request/response examples
• Threshold recommendations

Source: /planning/research-logs/openai-api.md Section 5

2. Create Remaining Templates (9 files, 1-2 hours)

Embeddings Templates

1. embeddings.ts - Basic embeddings generation

   // text-embedding-3-small and text-embedding-3-large examples
   // Custom dimensions
   // Batch processing
   

Images Templates

2. image-generation.ts - DALL-E 3 generation

   // Basic generation
   // Quality and style options
   // Transparent backgrounds
   

3. image-editing.ts - Image editing

   // Edit with mask
   // Transparent backgrounds
   // Compression options
   

Audio Templates

4. audio-transcription.ts - Whisper transcription

   // File transcription
   // Supported formats
   

5. text-to-speech.ts - TTS generation

   // All 11 voices
   // gpt-4o-mini-tts with instructions
   // Speed control
   // Format options
   

Moderation Templates

6. moderation.ts - Content moderation

   // Basic moderation
   // Category filtering
   // Batch moderation
   

Advanced Templates

7. structured-output.ts - JSON schema validation

   // Using response_format with JSON schema
   // Strict mode
   // Complex nested schemas
   

8. vision-gpt4o.ts - Vision examples

   // Image via URL
   // Image via base64
   // Multiple images
   

9. rate-limit-handling.ts - Production retry logic

   // Exponential backoff
   // Rate limit header monitoring
   // Queue implementation
   

3. Create Remaining Reference Docs (7 files, 1 hour)

1. models-guide.md

   • GPT-5 vs GPT-4o vs GPT-4 Turbo comparison table
   • When to use each model
   • Cost comparison
   • Capability matrix

2. function-calling-patterns.md

   • Advanced tool patterns
   • Parallel tool calls
   • Dynamic tool generation
   • Error handling in tools

3. structured-output-guide.md

   • JSON schema best practices
   • Complex nested schemas
   • Validation strategies
   • Error handling

4. embeddings-guide.md

   • Model comparison (small vs large vs ada-002)
   • Dimension selection
   • RAG patterns
   • Cosine similarity examples
   • Batch processing strategies

5. images-guide.md

   • DALL-E 3 prompting tips
   • Quality vs cost trade-offs
   • Style guide (vivid vs natural)
   • Transparent backgrounds use cases
   • Editing best practices

6. audio-guide.md

   • Voice selection guide
   • TTS vs real recordings
   • Whisper accuracy tips
   • Format selection

7. cost-optimization.md

   • Model selection strategies
   • Caching patterns
   • Batch processing
   • Token optimization
   • Rate limit management

4. Testing & Validation (30 min)

• Install skill: ./scripts/install-skill.sh openai-api
• Test auto-discovery with Claude Code
• Verify all templates compile (TypeScript check)
• Test at least 2-3 templates end-to-end with real API calls
• Check against ONE_PAGE_CHECKLIST.md

5. Final Documentation (30 min)

• Update roadmap: /planning/skills-roadmap.md

  • Mark openai-api as complete
  • Add completion metrics (token savings, errors prevented)
  • Update status to Production Ready

• Update SKILL.md

  • Remove all "Phase 2" markers
  • Update status to "Production Ready ✅"
  • Update Last Updated date

• Create final commit message

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Quick Start for Phase 2 Session

Context to Load

1. Read this file (NEXT-SESSION.md)
2. Read /planning/research-logs/openai-api.md for all API details
3. Review current SKILL.md to see structure

First Steps

# 1. Navigate to skill directory
cd /home/jez/Documents/claude-skills/skills/openai-api

# 2. Verify current state
ls -la templates/
ls -la references/

# 3. Start with Embeddings API section
# Edit SKILL.md around line 600

Development Order

1. Embeddings (most requested after Chat Completions)
2. Images (DALL-E 3 popular)
3. Audio (Whisper + TTS)
4. Moderation (simple, quick)
5. Templates (parallel work)
6. Reference docs (parallel work)
7. Testing
8. Commit

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Reference Files

Already Created

• SKILL.md - Foundation with Chat Completions complete
• README.md - Complete
• templates/chat-completion-basic.ts ✅
• templates/chat-completion-nodejs.ts ✅
• templates/streaming-chat.ts ✅
• templates/streaming-fetch.ts ✅
• templates/function-calling.ts ✅
• templates/cloudflare-worker.ts ✅
• templates/package.json ✅
• references/top-errors.md ✅
• scripts/check-versions.sh ✅
• /planning/research-logs/openai-api.md ✅

To Be Created (Phase 2)

• Templates (9 files)
• References (7 files)
• SKILL.md sections (4 API sections)

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Success Criteria

Phase 2 Complete When:

• All 4 API sections in SKILL.md complete (Embeddings, Images, Audio, Moderation)
• All 14 templates created (6 done + 9 new = 15 total)
• All 10 reference docs created (1 done + 7 new = 8 total minimum)
• Auto-discovery working
• All templates tested
• Token savings >= 60% (measured)
• Errors prevented: 10+ (documented)
• Roadmap updated
• Committed to git
• Status: Production Ready ✅

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Token Efficiency Target

Phase 1 Baseline:

• Manual Chat Completions setup: ~10,000 tokens
• With Phase 1 skill: ~4,000 tokens
• Savings: ~60%

Phase 2 Target (full skill):

• Manual full API setup: ~21,000 tokens
• With complete skill: ~8,500 tokens
• Target savings: ~60%

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Notes

• All research is complete and documented
• Templates follow consistent patterns
• Both SDK and fetch approaches where applicable
• Focus on copy-paste ready code
• Production patterns emphasized
• Clear relationship to openai-responses skill

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Ready to Execute Phase 2! 🚀

When starting next session, simply read this file and continue from Phase 2 Tasks.