blackroad-os-web/.trinity/greenlight/docs/GREENLIGHT_AI_EXTENSION.md

🤗 GreenLight AI & ML Extension

Extension to GreenLight for HuggingFace & AI Infrastructure

---

🤖 AI Model Lifecycle States

Add these to the Lifecycle States category:

Emoji	State	Code	Trinary	Description
🤗	MODEL_LOADING	model_loading	0	Loading model into memory
🧠	MODEL_READY	model_ready	+1	Model loaded and ready
⚡	INFERENCE_RUNNING	inference_running	+1	Generating output
🔄	TOKEN_STREAMING	token_streaming	+1	Streaming tokens
💾	MODEL_CACHED	model_cached	+1	Model in cache
📥	MODEL_DOWNLOADING	model_downloading	0	Downloading weights
🏋️	MODEL_TRAINING	model_training	+1	Model training
📊	MODEL_EVAL	model_eval	0	Evaluating performance
🔧	MODEL_FINE_TUNING	model_fine_tuning	+1	Fine-tuning model
⏱️	INFERENCE_TIMEOUT	inference_timeout	-1	Request timed out

---

🎯 AI Task Categories

Add to Domain Tags:

Emoji	Category	Code	Description
💬	TEXT_GEN	text_gen	Text generation / completion
🗣️	CHAT	chat	Chat completions
🎨	IMAGE_GEN	image_gen	Image generation
🖼️	IMAGE_EDIT	image_edit	Image editing / inpainting
🔤	EMBEDDINGS	embeddings	Vector embeddings
🔍	OCR	ocr	Optical character recognition
🎙️	TTS	tts	Text to speech
👂	STT	stt	Speech to text
🎥	VIDEO_GEN	video_gen	Video generation
🔬	CLASSIFICATION	classification	Classification tasks

---

🏗️ AI Infrastructure Components

Emoji	Component	Code	Description
🤗	HUGGINGFACE	huggingface	HuggingFace platform
⚡	VLLM	vllm	vLLM inference server
🦙	LLAMA_CPP	llama_cpp	llama.cpp engine
🔥	TRANSFORMERS	transformers	Transformers library
🌐	INFERENCE_ENDPOINT	inference_endpoint	HF Inference Endpoint
📦	MODEL_HUB	model_hub	Model repository
🚀	SPACE	space	HuggingFace Space
💾	MODEL_CACHE	model_cache	Model caching layer
🖥️	GPU_INSTANCE	gpu_instance	GPU compute instance

---

🎛️ GPU Instance Types

Emoji	Instance	Code	VRAM	Description
🟢	T4	t4	16GB	Small models / testing
🔵	L4	l4	24GB	7B-13B models
🟡	A10G	a10g	24GB	Production inference
🟠	A100	a100	80GB	Large models (70B+)
🔴	H100	h100	80GB	Maximum performance
🟣	JETSON	jetson	8GB	Edge inference

---

🎨 Composite Patterns for AI

Model Operations

🤗📥👉📌 = Downloading model, micro scale
🧠✅🎢⭐ = Model loaded, macro impact, high priority
⚡🔄💬🌀 = Streaming chat tokens, AI domain
🎨✅👉📌 = Image generated, micro scale

Inference Flows

⚡💬🧠✅ = Chat inference running, model ready
⚡🎨🖼️✅ = Image generation complete
🔤💾🎢✅ = Embeddings cached, macro scale
🔍📄👉✅ = OCR completed, micro scale

Infrastructure

🚀🤗🌐✅ = HF Space deployed
🌐⚡🟡📌 = Inference endpoint on A10G
💾🧠🎢⭐ = Model cached, high priority
⏱️❌🧠🔥 = Inference timeout, fire priority

Combined AI Flow

[⚡📥] [🤗🧠] [⚡💬] [🔄📊] [✅🎉] = Request → Load → Inference → Stream → Complete
[🎨⚡] [🖼️✅] = Image generation → success
[🔤💾] [✅🎢] = Embeddings → cached

---

📝 NATS Subject Patterns (AI)

Inference Events

greenlight.inference.started.micro.ai.{model_name}
greenlight.inference.completed.micro.ai.{model_name}
greenlight.inference.failed.micro.ai.{model_name}
greenlight.inference.timeout.micro.ai.{model_name}

Model Events

greenlight.model.loaded.macro.ai.{model_name}
greenlight.model.cached.micro.ai.{model_name}
greenlight.model.downloading.micro.ai.{model_name}
greenlight.model.uploaded.macro.ai.{model_name}

Endpoint Events

greenlight.endpoint.created.macro.ai.{endpoint_name}
greenlight.endpoint.paused.micro.ai.{endpoint_name}
greenlight.endpoint.resumed.micro.ai.{endpoint_name}
greenlight.endpoint.scaled.macro.ai.{endpoint_name}

Task-Specific Events

greenlight.chat.completed.micro.ai.{model}
greenlight.image.generated.micro.ai.{model}
greenlight.embeddings.cached.micro.ai.{model}
greenlight.ocr.completed.micro.ai.{file}

---

🔨 AI Memory Templates

Model Operations

# Model loading
gl_model_loading() {
    local model_name="$1"
    local size="${2:-unknown}"

    gl_log "🤗📥👉📌" "model_loading" "$model_name" \
        "Loading model: $size"
}

# Model ready
gl_model_ready() {
    local model_name="$1"
    local vram="${2:-unknown}"

    gl_log "🧠✅🎢⭐" "model_ready" "$model_name" \
        "Model loaded, VRAM: $vram"
}

# Model cached
gl_model_cached() {
    local model_name="$1"
    local cache_key="$2"

    gl_log "💾🧠👉📌" "model_cached" "$model_name" \
        "Model cached: $cache_key"
}

# Model downloading
gl_model_downloading() {
    local model_name="$1"
    local size="${2:-unknown}"

    gl_log "📥🤗👉📌" "model_downloading" "$model_name" \
        "Downloading: $size"
}

# Model uploaded
gl_model_uploaded() {
    local model_name="$1"
    local repo_id="$2"

    gl_log "📤🤗🎢✅" "model_uploaded" "$model_name" \
        "Uploaded to: $repo_id"
}

Inference Operations

# Inference started
gl_inference_start() {
    local task_type="$1"  # chat, text_gen, image_gen, etc.
    local model="$2"
    local request_id="${3:-$(uuidgen)}"

    local task_emoji=""
    case "$task_type" in
        chat) task_emoji="💬" ;;
        text_gen) task_emoji="💬" ;;
        image_gen) task_emoji="🎨" ;;
        embeddings) task_emoji="🔤" ;;
        ocr) task_emoji="🔍" ;;
        tts) task_emoji="🎙️" ;;
        video_gen) task_emoji="🎥" ;;
        *) task_emoji="🤖" ;;
    esac

    gl_log "⚡${task_emoji}👉📌" "inference_start" "$model" \
        "$task_type inference started: $request_id"
}

# Inference complete
gl_inference_complete() {
    local task_type="$1"
    local model="$2"
    local duration="${3:-unknown}"

    local task_emoji=""
    case "$task_type" in
        chat) task_emoji="💬" ;;
        text_gen) task_emoji="💬" ;;
        image_gen) task_emoji="🎨" ;;
        embeddings) task_emoji="🔤" ;;
        ocr) task_emoji="🔍" ;;
        *) task_emoji="🤖" ;;
    esac

    gl_log "✅${task_emoji}🎢🎉" "inference_complete" "$model" \
        "$task_type complete in $duration"
}

# Inference failed
gl_inference_failed() {
    local task_type="$1"
    local model="$2"
    local error="${3:-unknown error}"

    gl_log "❌⚡🤖🔥" "inference_failed" "$model" \
        "$task_type failed: $error"
}

# Token streaming
gl_token_streaming() {
    local model="$1"
    local tokens_generated="$2"

    gl_log "🔄💬⚡👉" "token_streaming" "$model" \
        "Streaming: $tokens_generated tokens"
}

# Inference timeout
gl_inference_timeout() {
    local model="$1"
    local timeout_seconds="$2"

    gl_log "⏱️❌🤖🔥" "inference_timeout" "$model" \
        "Timed out after ${timeout_seconds}s"
}

Endpoint Management

# Endpoint created
gl_endpoint_created() {
    local endpoint_name="$1"
    local model="$2"
    local instance_type="${3:-unknown}"

    local instance_emoji=""
    case "$instance_type" in
        *t4*) instance_emoji="🟢" ;;
        *l4*) instance_emoji="🔵" ;;
        *a10g*) instance_emoji="🟡" ;;
        *a100*) instance_emoji="🟠" ;;
        *h100*) instance_emoji="🔴" ;;
        *) instance_emoji="🖥️" ;;
    esac

    gl_log "🚀🌐${instance_emoji}✅" "endpoint_created" "$endpoint_name" \
        "Endpoint created: $model on $instance_type"
}

# Endpoint paused
gl_endpoint_paused() {
    local endpoint_name="$1"

    gl_log "⏸️🌐👉📌" "endpoint_paused" "$endpoint_name" \
        "Endpoint paused (cost savings)"
}

# Endpoint resumed
gl_endpoint_resumed() {
    local endpoint_name="$1"

    gl_log "▶️🌐👉📌" "endpoint_resumed" "$endpoint_name" \
        "Endpoint resumed"
}

# Endpoint scaled
gl_endpoint_scaled() {
    local endpoint_name="$1"
    local replicas="$2"

    gl_log "📈🌐🎢⭐" "endpoint_scaled" "$endpoint_name" \
        "Scaled to $replicas replicas"
}

# Endpoint deleted
gl_endpoint_deleted() {
    local endpoint_name="$1"

    gl_log "🗑️🌐👉📌" "endpoint_deleted" "$endpoint_name" \
        "Endpoint deleted"
}

Space Operations

# Space deployed
gl_space_deployed() {
    local space_name="$1"
    local url="$2"

    gl_log "🚀🤗🌐✅" "space_deployed" "$space_name" \
        "Space deployed: $url"
}

# Space invoked
gl_space_invoked() {
    local space_id="$1"
    local task_type="$2"

    gl_log "⚡🤗👉📌" "space_invoked" "$space_id" \
        "Space invoked for: $task_type"
}

---

🎯 Example Integration: Complete Inference Flow

Scenario: Chat inference with DeepSeek

# 1. Load model
gl_model_loading "deepseek-ai/DeepSeek-V3.2" "7B"
# [🤗📥👉📌] model_loading: deepseek-ai/DeepSeek-V3.2 — Loading model: 7B

# 2. Model ready
gl_model_ready "deepseek-ai/DeepSeek-V3.2" "16GB"
# [🧠✅🎢⭐] model_ready: deepseek-ai/DeepSeek-V3.2 — Model loaded, VRAM: 16GB

# 3. Start inference
gl_inference_start "chat" "deepseek-ai/DeepSeek-V3.2" "req_abc123"
# [⚡💬👉📌] inference_start: deepseek-ai/DeepSeek-V3.2 — chat inference started: req_abc123

# 4. Token streaming
gl_token_streaming "deepseek-ai/DeepSeek-V3.2" "247"
# [🔄💬⚡👉] token_streaming: deepseek-ai/DeepSeek-V3.2 — Streaming: 247 tokens

# 5. Complete
gl_inference_complete "chat" "deepseek-ai/DeepSeek-V3.2" "3.2s"
# [✅💬🎢🎉] inference_complete: deepseek-ai/DeepSeek-V3.2 — chat complete in 3.2s

Scenario: Image generation with FLUX

# 1. Space invoked
gl_space_invoked "black-forest-labs/FLUX.1-dev" "image_gen"
# [⚡🤗👉📌] space_invoked: black-forest-labs/FLUX.1-dev — Space invoked for: image_gen

# 2. Start inference
gl_inference_start "image_gen" "FLUX.1-dev" "img_xyz789"
# [⚡🎨👉📌] inference_start: FLUX.1-dev — image_gen inference started: img_xyz789

# 3. Complete
gl_inference_complete "image_gen" "FLUX.1-dev" "12.4s"
# [✅🎨🎢🎉] inference_complete: FLUX.1-dev — image_gen complete in 12.4s

Scenario: Endpoint lifecycle (Lucidia)

# 1. Create endpoint
gl_endpoint_created "lucidia-inference" "blackroadio/Lucidia" "nvidia-a10g"
# [🚀🌐🟡✅] endpoint_created: lucidia-inference — Endpoint created: blackroadio/Lucidia on nvidia-a10g

# 2. Run inference
gl_inference_start "chat" "lucidia-inference" "req_lucidia_001"
# [⚡💬👉📌] inference_start: lucidia-inference — chat inference started: req_lucidia_001

# 3. Complete
gl_inference_complete "chat" "lucidia-inference" "2.1s"
# [✅💬🎢🎉] inference_complete: lucidia-inference — chat complete in 2.1s

# 4. Pause for cost savings
gl_endpoint_paused "lucidia-inference"
# [⏸️🌐👉📌] endpoint_paused: lucidia-inference — Endpoint paused (cost savings)

# 5. Resume when needed
gl_endpoint_resumed "lucidia-inference"
# [▶️🌐👉📌] endpoint_resumed: lucidia-inference — Endpoint resumed

Scenario: Inference failure and timeout

# 1. Start inference
gl_inference_start "chat" "large-model" "req_fail"
# [⚡💬👉📌] inference_start: large-model — chat inference started: req_fail

# 2. Timeout
gl_inference_timeout "large-model" "30"
# [⏱️❌🤖🔥] inference_timeout: large-model — Timed out after 30s

# 3. Failed
gl_inference_failed "chat" "large-model" "OOM error"
# [❌⚡🤖🔥] inference_failed: large-model — chat failed: OOM error

---

📊 AI Analytics Integration

Performance Tracking

# Inference latency
gl_log "📊⚡🎢📌" "latency_metric" "ai-metrics" "p95 latency: 3.2s (chat)"

# Token throughput
gl_log "📊💬👉📌" "throughput_metric" "ai-metrics" "Throughput: 45 tokens/sec"

# Cache hit rate
gl_log "📊💾🎢⭐" "cache_metric" "ai-metrics" "Cache hit rate: 78%"

Cost Tracking

# GPU costs
gl_log "💰🖥️🎢📌" "gpu_cost" "ai-billing" "A10G usage: $2.47/hour"

# Inference costs
gl_log "💰⚡👉📌" "inference_cost" "ai-billing" "1,247 requests: $12.34"

---

📚 Integration Checklist

• Extended lifecycle states for AI operations
• Added AI task category tags
• Created infrastructure component tags
• Mapped GPU instance types
• Created composite patterns for inference flows
• Extended NATS subjects for AI events
• Built 15+ AI-specific templates
• Integrated with 27-step GreenLight workflow
• Added analytics tracking patterns
• Added cost tracking patterns

---

🎯 HuggingFace Account Details

Username: blackroadio Profile: https://huggingface.co/blackroadio Models: 2 (Lucidia, qwen3-235b-a22b) API Tokens: https://huggingface.co/settings/tokens Endpoints: https://endpoints.huggingface.co

Recommended Models

Text Generation:

• openai/gpt-oss-20b (7.2M downloads)
• deepseek-ai/DeepSeek-V3.2 (90.9K downloads)
• nvidia/Nemotron-3-Nano-30B-A3B (247.7K downloads)

Image Generation:

• black-forest-labs/FLUX.1-dev (809.7K downloads)
• stabilityai/stable-diffusion-xl-base-1.0 (2.1M downloads)

Embeddings:

• sentence-transformers/all-MiniLM-L6-v2 (149.3M downloads)
• BAAI/bge-m3 (8.2M downloads)

OCR:

• deepseek-ai/DeepSeek-OCR (4.7M downloads)

Available Spaces (15+)

• evalstate/flux1_schnell - Fast image generation
• mcp-tools/FLUX.1-Krea-dev - High quality images
• not-lain/background-removal - Remove backgrounds
• ResembleAI/Chatterbox - Text to speech
• mcp-tools/DeepSeek-OCR-experimental - OCR

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Created: December 23, 2025 For: HuggingFace AI Infrastructure Version: 2.0.0-ai Status: 🔨 IMPLEMENTATION