Fast OpenAI API operations (GPT, DALL-E, Whisper, embeddings) via FGP daemon. Use when user needs chat completions, image generation, transcription, text-to-speech, or embeddings. Triggers on "openai chat", "generate image", "transcribe audio", "GPT completion", "DALL-E", "whisper transcribe", "openai embed".
Resources
1Install
npx skillscat add fast-gateway-protocol/fgp-skills/openai-daemon Install via the SkillsCat registry.
SKILL.md
FGP OpenAI Daemon
Fast OpenAI API access with connection pooling for GPT, DALL-E, Whisper, and more.
Why FGP?
FGP daemons maintain persistent connections and avoid cold-start overhead. Instead of spawning a new API client for each request, the daemon stays warm and ready.
Benefits:
- No cold-start latency
- Connection pooling
- Persistent authentication
Installation
brew install fast-gateway-protocol/tap/fgp-openai
# Or
bash ~/.claude/skills/fgp-openai/scripts/install.shSetup
export OPENAI_API_KEY="sk-..."Usage
Chat Completions
# Simple completion
fgp openai chat "What is the capital of France?"
# With model
fgp openai chat "Explain quantum computing" --model gpt-4o
# System message
fgp openai chat "Write a poem" --system "You are a creative poet"
# With temperature
fgp openai chat "Generate a story" --temperature 0.9
# Streaming
fgp openai chat "Tell me a story" --stream
# JSON mode
fgp openai chat "List 3 colors" --json
# From file
fgp openai chat --file prompt.txtEmbeddings
# Single text
fgp openai embed "Hello world"
# Multiple texts
fgp openai embed "Text 1" "Text 2" "Text 3"
# From file
fgp openai embed --file texts.txt
# With model
fgp openai embed "Hello" --model text-embedding-3-large
# Output to file
fgp openai embed "Hello" --output embedding.jsonImage Generation (DALL-E)
# Generate image
fgp openai image "A cat wearing a hat"
# With size
fgp openai image "Mountain landscape" --size 1792x1024
# With quality
fgp openai image "Portrait" --quality hd
# With style
fgp openai image "Abstract art" --style vivid
# Multiple images
fgp openai image "Sunset" --n 4
# Save to file
fgp openai image "Robot" --output robot.pngImage Analysis (Vision)
# Analyze image
fgp openai vision ./image.png "What's in this image?"
# From URL
fgp openai vision "https://example.com/image.jpg" "Describe this"
# Detailed analysis
fgp openai vision ./chart.png "Explain this chart in detail"Audio (Whisper)
# Transcribe audio
fgp openai transcribe ./audio.mp3
# With language hint
fgp openai transcribe ./audio.mp3 --language en
# Translate to English
fgp openai translate ./spanish-audio.mp3
# With timestamps
fgp openai transcribe ./audio.mp3 --timestamps
# Output formats
fgp openai transcribe ./audio.mp3 --format srt
fgp openai transcribe ./audio.mp3 --format vttText-to-Speech
# Generate speech
fgp openai speak "Hello, welcome to our service" --output welcome.mp3
# With voice
fgp openai speak "Breaking news" --voice nova
# Available voices: alloy, echo, fable, onyx, nova, shimmer
# With speed
fgp openai speak "Slow speech" --speed 0.8Assistants
# List assistants
fgp openai assistants
# Create assistant
fgp openai assistant create --name "Helper" --model gpt-4o --instructions "You are a helpful assistant"
# Run assistant
fgp openai assistant run <assistant-id> "Help me with this task"
# With file
fgp openai assistant run <assistant-id> "Analyze this" --file data.csvFiles
# List files
fgp openai files
# Upload file
fgp openai file upload ./data.jsonl --purpose fine-tune
# Get file info
fgp openai file <file-id>
# Download file
fgp openai file download <file-id> --output data.jsonl
# Delete file
fgp openai file delete <file-id>Available Commands
| Command | Description | Example |
|---|---|---|
chat |
Chat completion | fgp openai chat "Hello" |
embed |
Get embeddings | fgp openai embed "text" |
image |
Generate image | fgp openai image "prompt" |
vision |
Analyze image | fgp openai vision img.png "?" |
transcribe |
Audio to text | fgp openai transcribe audio.mp3 |
speak |
Text to speech | fgp openai speak "text" |
assistants |
List assistants | fgp openai assistants |
files |
List files | fgp openai files |
Models
| Type | Models |
|---|---|
| Chat | gpt-4o, gpt-4o-mini, gpt-4-turbo, gpt-3.5-turbo |
| Embeddings | text-embedding-3-small, text-embedding-3-large |
| Image | dall-e-3, dall-e-2 |
| Audio | whisper-1 |
| TTS | tts-1, tts-1-hd |
Example Workflows
Generate embeddings for RAG
# Embed documents
cat docs/*.txt | fgp openai embed --model text-embedding-3-small --output embeddings.jsonTranscribe meeting
fgp openai transcribe meeting.mp3 --format srt > meeting.srtCreate image asset
fgp openai image "Professional logo for tech startup, minimal, blue" --size 1024x1024 --output logo.pngTroubleshooting
Invalid API key
Error: Invalid API keyCheck OPENAI_API_KEY is correct.
Rate limited
Error: Rate limit reachedWait or upgrade your tier.
Context too long
Error: Maximum context length exceededReduce input length or use a model with larger context.
Architecture
- OpenAI REST API
- Connection pooling for reduced latency
- UNIX socket at
~/.fgp/services/openai/daemon.sock - Streaming support for chat completions