feat: add MiniMax AI provider support (fixes #8818)

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Description

This PR adds support for the MiniMax AI provider to RooCode, implementing the MiniMax-M2 models for coding, reasoning, and AI-assisted development tasks as requested in #8818.

Changes

• Type Definitions: Added MiniMax provider type definitions with three model variants:

  • : Base model with 128K context window
  • : Pro model with 245K context window
  • : Vision model with 245K context window and image support

• API Handler: Implemented extending for OpenAI-compatible API integration

• Provider Configuration:

  • Added MiniMax to provider settings schema
  • Integrated with provider factory and validation
  • Configured default base URL as https://api.minimaxi.com/v1

• Testing: Added comprehensive test coverage with 15 test cases covering all model variants and edge cases

Testing

• ✅ All unit tests passing
• ✅ Linting and type checking pass
• ✅ Code review completed with high confidence

Related Issue

Fixes #8818

Notes

The implementation follows existing provider patterns in the codebase, particularly similar to the DeepSeek provider implementation. The MiniMax provider uses OpenAI-compatible API format, making integration straightforward.

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Important

Adds support for MiniMax AI provider with model definitions, API handler, and comprehensive tests, integrating it into the existing provider framework.

• Behavior:
  • Adds MiniMax AI provider support with three model variants: Base, Pro, and Vision.
  • Implements MiniMaxHandler in minimax.ts for OpenAI-compatible API integration.
  • Configures default base URL as https://api.minimaxi.com/v1.
• Provider Configuration:
  • Adds MiniMax to provider-settings.ts schema and integrates with provider factory.
  • Updates ProfileValidator.ts to handle MiniMax provider.
• Testing:
  • Adds minimax.spec.ts with 15 test cases covering all model variants and edge cases.
• Misc:
  • Updates index.ts files to export MiniMaxHandler and include it in buildApiHandler().

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✅ Review Complete - No Issues Found

I've completed a thorough review of this pull request and found no issues that need to be addressed. The implementation:

• Correctly follows the established pattern for adding OpenAI-compatible providers (matches DeepSeek, Doubao, Moonshot patterns)
• Properly integrates with all necessary configuration files and validation logic
• Includes comprehensive test coverage (15 test cases covering all model variants and edge cases)
• Uses appropriate model configurations (context windows, pricing, capabilities)
• Has clean, maintainable code that follows project conventions

The MiniMax provider integration is ready for merge.

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No issues found.