AI Developer Tools

PRISMAG

Per-block model routing CLI that sends tagged prompt sections to different LLMs for optimized AI coding workflows.

What is PRISMAG?

PRISMAG is an open-source CLI tool that routes individual prompt blocks to different AI models using a simple @@model tag syntax, enabling multi-model orchestration within a single conversation without switching chats or IDE settings.

PRISMAG vs Similar AI Tools

Pricing ModelFreeFreeCustom PricingFree, Paid
Free Credits
Key Features
  • Route prompt blocks to different models with @@ tags (e.g., @@opus, @@composer)
  • Deterministic block chaining: output of block N feeds into block N+1 context
  • Parallel execution mode for independent blocks (--parallel)
  • GitHub Pages hosting
  • Jekyll integration
  • Markdown content support
  • Workload monitoring and anomaly detection
  • Slow query identification and optimization
  • Natural language querying to SQL translation
  • Scans skills and MCP servers against ATR rules before loading
  • Real-time runtime protection against prompt injection and hijacks
  • Signed audit-ready evidence for compliance (EU AI Act, NYDFS, DORA)
Pros
  • Eliminates need to switch between multiple chats or change IDE model picker
  • Supports local models for privacy and zero cost
  • Free hosting with custom domain support
  • Easy setup via Git
  • Quick one-line installation and setup in 15 minutes
  • Self-hosted ensures data stays within your infrastructure
  • Open source with MIT license
  • Real-time detection and prevention
Cons
  • Requires manual per-block tagging in prompts
  • API keys needed for cloud models (though local models work without)
  • Limited to static content
  • No server-side processing
  • Requires self-hosting and VPC setup
  • No free tier or trial mentioned
  • Enterprise features require paid tiers
  • Setup may require technical expertise
Best For
  • Developers who want to use different AI models for different parts of a coding task
  • Teams that need to combine planning, implementation, and review in one workflow
  • Developers
  • Open source projects
  • Database administrators
  • Data engineers
  • Developers building and deploying AI agents
  • Enterprises needing audit-ready AI security

How to use PRISMAG?

  1. 1Install via Go: go install github.com/rufus-SD/prismag@latest or clone and build.
  2. 2Run 'prismag setup' for guided onboarding (API keys, model discovery, registry.yaml).
  3. 3Run 'prismag init' to wire routing into your project (auto-detects editor).
  4. 4Execute a tagged prompt: prismag run "@@opus: design auth flow @@composer: implement it".
  5. 5Use 'prismag' with no arguments for interactive REPL session.

PRISMAG Key Features

  • Route prompt blocks to different models with @@ tags (e.g., @@opus, @@composer)
  • Deterministic block chaining: output of block N feeds into block N+1 context
  • Parallel execution mode for independent blocks (--parallel)
  • Pluggable context store (in-memory or maind) with cross-session memory
  • CLI/REPL and IDE integration via subagents or prismag run
  • Local model support via Ollama/vLLM (no API key needed)
  • Exec mode with permission-gated tool loop for file/shell actions
  • Live model ID resolution from provider APIs (self-healing renames)

PRISMAG Use Cases

  • Assign deep reasoning tasks (architecture, security) to a powerful model and implementation to a fast model in a single prompt
  • Chain outputs: plan with one model, then implement with another, then summarize with a cheap model
  • Use local private models for sensitive or offline code generation
  • Integrate multi-model routing into Cursor, Claude Code, Windsurf, and other IDEs

PRISMAG Pricing & Free Credits

PRISMAG currently operates on a Free model.

This tool is completely free to use

MIT License

Free

Open source CLI tool, free to use and modify. API calls are billed directly by your provider.

PRISMAG Pros & Cons

Pros

  • Eliminates need to switch between multiple chats or change IDE model picker
  • Supports local models for privacy and zero cost
  • Works with most major IDEs and AI coding tools
  • Deterministic routing with live model ID resolution
  • Chained and parallel execution modes

Cons

  • Requires manual per-block tagging in prompts
  • API keys needed for cloud models (though local models work without)
  • Exec mode tool loop still limited to safe actions by default

What is PRISMAG best for?

  • Developers who want to use different AI models for different parts of a coding task
  • Teams that need to combine planning, implementation, and review in one workflow
  • Users who prefer local models for sensitive code and cloud models for heavy reasoning
  • Power users of AI coding assistants who want more control over model routing

PRISMAG FAQ

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