feat: add MiniMax as first-class LLM provider

[octo-patch]

Summary

Add MiniMax as a first-class LLM provider in the Tarko LLM client, enabling users to seamlessly use MiniMax M2.5 and M2.5-highspeed models (204K context window) via the OpenAI-compatible API.

Changes

• New handler (llm-client/src/handlers/minimax.ts): Dedicated MiniMax handler with temperature validation (must be in (0.0, 1.0]) and auto-default to 1.0
• Model registry (llm-client/src/models.ts): MiniMax-M2.5 and MiniMax-M2.5-highspeed with streaming, images, and tool call support
• Handler registration (llm-client/src/handlers/utils.ts): Wire MiniMax handler into the provider factory
• Type definitions (llm-client/src/chat/index.ts): MiniMaxModel type and provider map entry
• Documentation: Updated README, English and Chinese model-provider guides with MiniMax configuration examples
• Tests: Model resolver test, integration tests (resolve + create client), llm-client tests, totaling 6 new test cases
• Example (agent/examples/model-providers/minimax.ts): Usage example following existing patterns

Usage

const agent = new Agent({
  model: {
    provider: 'minimax',
    apiKey: process.env.MINIMAX_API_KEY,
    id: 'MiniMax-M2.5',
  },
});

MiniMax API Notes

• Base URL: https://api.minimax.io/v1 (OpenAI-compatible)
• Temperature must be in (0.0, 1.0] — zero is rejected
• Both models support 204K context window

Test plan

• All 50 existing + new unit tests pass (pnpm test in model-provider)
• Model resolver correctly identifies minimax as a native base provider
• Integration test: resolveModel + createLLMClient works for MiniMax
• LLM client test: verifies correct TokenJS configuration and model list extension
• Manual verification with MiniMax API key (optional)

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