Model Compatibility & Capabilities Registry

MultiModel Dev OS v1.2.0 introduces a centralized, registry-driven configuration layer to specify target AI model behaviors, token windows, cost metrics, and specialized capabilities.

This ensures that agentic coding workflows are future-proof, allowing developers to route prompts to optimal engines without updating core codebase packages.

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Central Registry File

The core system registry resides in [.ai/models/registry.yaml](file:///F:/multimodel-dev-os/.ai/models/registry.yaml):

models:
  claude-sonnet-latest:
    provider: anthropic
    alias: claude-3-5-sonnet
    official_id: claude-3-5-sonnet-20241022
    context_window: 200000
    tiers:
      cost: high
      speed: medium
      reasoning: premium
      coding: premium
    capabilities:
      vision: true
      tool_use: true

  gemini-flash-latest:
    provider: google
    alias: gemini-1.5-flash
    official_id: gemini-1.5-flash-001
    context_window: 1048576
    tiers:
      cost: low
      speed: fast
      reasoning: medium
      coding: medium
    capabilities:
      vision: true
      tool_use: true

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Schema Attributes Reference

Property	Type	Description
provider	String	Matches identifier in [providers.yaml](file:///F:/multimodel-dev-os/.ai/models/providers.yaml).
alias	String	Common developer name or shortcut (e.g. gpt-4o).
official_id	String	Precise API endpoint identifier string.
context_window	Integer	Maximum token capacity of the model.
tiers	Object	Speed, cost, reasoning, and coding classifications (low/medium/high/premium).
capabilities	Object	Toggles indicating vision or tool_use (function calling) support.

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Dynamic Placeholders

If a model name is future-facing or unverified, it is registered as a configurable placeholder or alias:

• gpt-coding-latest
• deepseek-coder-latest
• local-coder-model
• open-weight-reasoner

This strategy prevents hardcoding unverified API configurations and allows instant mapping via localized parameters.