pixelml-av 0.1.0

Index once, search many — agentic video memory CLI by Pixel ML

av — Agentic Video Intelligence

Index. Search. Detect. Video intelligence toolkit for AI agents by Pixel ML.

pip install pixelml-av

What av Does

Video Memory — Ingest videos, search by natural language, ask questions with RAG citations.

Surveillance Intelligence — Detect falls, long queues, crowd gathering, and wheelchair compliance in CCTV footage using temporal reasoning.

Quick Start

Video Search

# 1. Set up your provider
av config setup

# 2. Ingest a video
av ingest video.mp4

# 3. Search
av search "person with red bag"

# 4. Ask questions
av ask "what happened at 2:30?"

Surveillance Detection

# Cloud (quick start — Gemini free tier)
export AV_API_KEY=your-gemini-key
av sentinel video.mp4

# Local (free, private — runs on your Mac/GPU)
ollama pull mistral-small3.2
av sentinel video.mp4 --provider ollama

# Specific alerts
av sentinel video.mp4 --alerts FALL,LONG_QUEUE

# Batch a directory
av sentinel videos/ --camera cam_lobby

All Commands

# Video memory
av ingest video.mp4             # Index video content
av search "what was discussed"  # Semantic search
av ask "key decisions?"         # RAG Q&A with citations
av list                         # List indexed videos
av transcript <id> --format vtt # Get transcript
av export --format jsonl        # Export all data
av export --format jsonl

# Surveillance intelligence
av sentinel video.mp4              # Detect events (all 4 alert types)
av sentinel video.mp4 --alerts FALL # Fall detection only
av sentinel video.mp4 -p ollama    # Self-hosted (free)
av sentinel videos/ -c cam_lobby   # Batch with camera tracking

Sentinel — Surveillance Event Detection

Detects 4 event types using temporal reasoning over VLM observations:

Alert	Detection	How It Works
FALL	Position tracking	standing→lying transition across frames (F1=0.944)
LONG_QUEUE	Temporal persistence	Queue detected in 3+ consecutive chunks (90s)
CROWD_GATHERING	Density + growth	Sustained crowd or rapid person count increase
WHEELCHAIR_COMPLIANCE	Service timing	Wheelchair user unattended > threshold

Providers for Sentinel

Provider	Setup	Cost	Speed
Gemini (cloud)	export AV_API_KEY=key	Free tier available	~5s/chunk
OpenRouter	export OPENROUTER_API_KEY=key	$0.04-0.14/1M tokens	~10s/chunk
Ollama (local)	ollama pull mistral-small3.2	Free	~25s/chunk
OpenAI	export AV_API_KEY=key	$$$	~5s/chunk

Auto-detection: if no provider specified, av tries Gemini → OpenRouter → ollama → OpenAI.

How It Works

Video → 30s chunks (5s overlap)
  → 8 frames per chunk
  → VLM perception (positions, queue, crowd, wheelchair)
  → Temporal agent (state across chunks)
  → Alert rules (transition detection, persistence, growth)
  → JSON output

Built on 107 experiments across 21 vision models. Key insight: structural extraction + temporal rules beats generic "detect anomalies" prompts.

Configuration

Interactive Setup (Recommended)

av config setup

Choose from four providers:

#	Provider	Auth	Transcription	Embeddings
1	OpenAI (Codex OAuth)	Auto-detected	Whisper	text-embedding-3-small
2	OpenAI (API key)	sk-... key	Whisper	text-embedding-3-small
3	Anthropic (Claude)	API key	Not supported	Not supported
4	Google (Gemini)	API key	Not supported	text-embedding-004

Config is saved to ~/.config/av/config.json and persists across sessions.

Note: Anthropic and Gemini don't support Whisper transcription. With these providers, use av ingest --captions for frame-based captioning, or set AV_OPENAI_API_KEY for transcription fallback.

Environment Variables

Env vars always override config.json:

export AV_API_KEY="sk-..."
export AV_API_BASE_URL="https://api.openai.com/v1"  # or any OpenAI-compatible endpoint
export AV_TRANSCRIBE_MODEL="whisper"
export AV_VISION_MODEL="gpt-4-1"
export AV_EMBED_MODEL="text-embedding-3-small"
export AV_CHAT_MODEL="gpt-4-1"

Requirements

• Python 3.11+
• FFmpeg (brew install ffmpeg)
• An API key from OpenAI, Anthropic, or Google — or Codex CLI OAuth

Commands

Command	Description
av config setup	Interactive provider setup wizard
av config show	Show current configuration
av ingest <path>	Ingest video file(s) into the index
av search <query>	Full-text + semantic search
av ask <question>	RAG Q&A with citations
av list	List all indexed videos
av info <video_id>	Detailed video metadata
av transcript <id>	Output transcript (VTT/SRT/text)
av export	Export as JSONL/VTT/SRT
av open <id> --at <sec>	Open video at timestamp
av version	Print version JSON

License

Apache License 2.0 — see LICENSE for details.