youtube-factory-pipeline 0.1.2

Modular pipeline agents for automated YouTube video production

YouTube Factory Pipeline

Modular, provider-agnostic agents for automated YouTube video production.

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Overview

youtube-factory-pipeline is the core orchestration library behind the "Weight and See" YouTube channel. It provides a clean, modular set of agents that handle every stage of video production:

Research → Idea Generation → Script Writing → Voiceover → Visuals → 
Audio Generation → Assembly → Shorts → Upload → Guide Deployment

Each agent is independently usable, provider-agnostic, and configured via a single JSON file.

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Features

Agent	Purpose	Key Capability
ResearchAgent	GitHub/HF/arXiv/web analysis	Structured JSON briefs from any URL
IdeaGeneratorAgent	Video concept + SWOT	3 concepts → 1 selected, niche diversity enforced
ScriptwriterAgent	3-act retention scripts	Hook → Breakdown → Deep Dive + CTA
VoiceoverAgent	TTS via OmniVoice/Edge	Multi-speaker, word-level timestamps
VisualAssetAgent	B-roll + AI images + thumbnails	Pexels / SD / Fal / Pollinations / local
AudioGenAgent	BGM via Stable Audio 3	Ducking, volume automation
VideoAssemblerAgent	FFmpeg assembly	Subtitles, ducking, 4K output
ShortGenerator	9:16 vertical clips	Auto-scene selection ≤58s
UploaderAgent	YouTube Data API v3	Playlists, thumbnails, Shorts
GuideGeneratorAgent	HTML resource pages	SEO-optimized, deployable to GitHub Pages
CommunityAgent	YouTube Community posts	Auto-generated from video outputs

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Installation

# Core dependencies only
pip install youtube-factory-pipeline

# With optional providers
pip install "youtube-factory-pipeline[omnivoice]"      # Local TTS
pip install "youtube-factory-pipeline[stable-audio]"  # BGM generation
pip install "youtube-factory-pipeline[all]"           # Everything

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Quickstart

from youtube_factory.orchestrator import PipelineOrchestrator
from youtube_factory.config import load_config

# Load your config (see Configuration below)
config = load_config("path/to/config.json")

# Create orchestrator
orchestrator = PipelineOrchestrator(workspace_dir="~/youtube_factory")

# Start a run
run_id, state = orchestrator.create_new_run(
    topic_seed="Ollama 0.9.0 local LLM benchmark",
    target_audience="Tech enthusiasts",
    competitor_analysis="Existing LM Studio reviews"
)

# Execute full pipeline (runs in background thread)
orchestrator.execute(run_id)

# Or run individual stages
from youtube_factory.agents.idea import IdeaGeneratorAgent
idea_agent = IdeaGeneratorAgent(config)
result = idea_agent.run({
    "topic_seed": "...",
    "target_audience": "...",
    "competitor_analysis": "..."
})

---

Configuration

All agents read from a single config.json with environment variable interpolation (${VAR}):

{
  "freellmapi": {
    "api_key": "${FREELLAPI_KEY}",
    "base_url": "http://localhost:3001/v1",
    "timeout": 120
  },
  "omnivoice": {
    "base_url": "http://localhost:3900/v1",
    "voice_id": "brian_ref"
  },
  "pexels_api_key": "${PEXELS_API_KEY}",
  "local_sd": {
    "base_url": "http://127.0.0.1:7860",
    "lora_url": "https://.../style.safetensors"
  },
  "video_settings": { "width": 1920, "height": 1080 },
  "upload_settings": { "privacy_status": "private" }
}

Environment variables loaded from .env:

FREELLAPI_KEY=freellmapi-xxx
PEXELS_API_KEY=xxx
GEMINI_API_KEY=xxx
# etc.

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Architecture

┌─────────────────────────────────────────────────────────────┐
│                    PipelineOrchestrator                       │
│  (state management, cancellation, threading, config reload)  │
└──────────────────────────┬──────────────────────────────────┘
                           │
       ┌───────────────────┼───────────────────┐
       ▼                   ▼                   ▼
┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│  Research   │    │   Scraper   │    │   Idea Gen  │
│  (LLM)      │    │  (HTTP)     │    │  (LLM+JSON) │
└──────┬──────┘    └──────┬──────┘    └──────┬──────┘
       │                  │                  │
       ▼                  ▼                  ▼
┌─────────────────────────────────────────────────────────────┐
│                      Scriptwriter (LLM)                     │
└──────────────────────────┬──────────────────────────────────┘
                           │
       ┌───────────────────┼───────────────────┐
       ▼                   ▼                   ▼
┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│  Voiceover  │    │  Visuals    │    │    Guide    │
│  (Edge/OV)  │    │ (Pexels/SD) │    │  (LLM+HTML) │
└──────┬──────┘    └──────┬──────┘    └──────┬──────┘
       │                  │                  │
       ▼                  ▼                  ▼
┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│ Audio Gen   │    │  Assembly   │    │  Guide      │
│ (Stable     │    │ (FFmpeg)    │    │  Deploy     │
│  Audio 3)   │    │             │    │  (GitHub)   │
└──────┬──────┘    └──────┬──────┘    └──────┬──────┘
       │                  │                  │
       ▼                  ▼                  ▼
┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│   Shorts    │    │  Upload     │    │ Community   │
│  (Scene     │    │ (YouTube)   │    │  Posts      │
│  select)    │    │             │    │             │
└─────────────┘    └─────────────┘    └─────────────┘

All LLM calls route through FreeLLMAPI → automatic provider failover, penalty tracking, system prompt injection.

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Provider Abstraction

Capability	Providers	Fallback Chain
LLM	Gemini, Cerebras, Groq, Z.ai, LM Studio	FreeLLMAPI router
TTS	OmniVoice, Edge TTS	VoiceoverAgent
Images	SD WebUI, Pollinations, Gemini, Fal	VisualAssetAgent
Video	Fal (Hunyuan), Kling, Veo, Pexels	VideoProviderManager
BGM	Stable Audio 3	AudioGenAgent
Stock	Pexels	VisualAssetAgent

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Development

# Clone
git clone https://github.com/bgill55/youtube-factory-pipeline.git
cd youtube-factory-pipeline

# Install in editable mode with dev deps
pip install -e ".[dev]"

# Run tests
pytest tests/

# Lint
ruff check src/
mypy src/youtube_factory/

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Related Projects

• FreeLLMAPI — The unified LLM router this pipeline depends on
• OmniVoice-Studio — Local TTS service
• YouTube Factory — Full production deployment (Flask dashboard, scheduler, bootstrap scripts)

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License

MIT © 2026 bgill55

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Disclaimer

This is the orchestration library only.
You must run the required external services yourself:

• FreeLLMAPI (port 3001)
• OmniVoice-Studio (port 3900)
• Stable Diffusion WebUI --api (port 7860)
• FFmpeg (system binary)

See the main YouTube Factory repo for Docker Compose, bootstrap scripts, and the Flask dashboard.