feat: add MiniMax as a first-class LLM and TTS provider

[octo-patch]

Summary

Add MiniMax as a native provider for both LLM inference and text-to-speech in DocsGPT, giving users access to MiniMax-M2.5 and MiniMax-M2.5-highspeed models (204K context window) via the OpenAI-compatible API.

What's included

• LLM provider (application/llm/minimax.py): Extends OpenAILLM with MiniMax's base URL (https://api.minimax.io/v1), temperature clamping to the valid range (0, 1], and structured output passthrough disabled
• TTS provider (application/tts/minimax_tts.py): MiniMax speech-2.8-hd model with hex-to-base64 audio decoding
• Model registry: MiniMax-M2.5 and MiniMax-M2.5-highspeed with tool calling and image attachment support
• Settings: MINIMAX_API_KEY environment variable with normalizer validation
• Setup scripts: MiniMax option added to both bash and PowerShell setup wizards
• Documentation: Updated cloud-providers.mdx table and README feature list
• Tests: 10 LLM unit tests + 4 TTS unit tests, all passing

Files changed

File	Change
application/llm/minimax.py	New — MiniMax LLM provider
application/tts/minimax_tts.py	New — MiniMax TTS provider
application/core/settings.py	Add MINIMAX_API_KEY
application/core/model_settings.py	Add MINIMAX to ModelProvider enum
application/core/model_configs.py	Add MINIMAX_MODELS definitions
application/core/model_utils.py	Add minimax to provider key map
application/llm/llm_creator.py	Register MiniMaxLLM in factory
application/tts/tts_creator.py	Register MiniMaxTTS in factory
.env-template	Add MINIMAX_API_KEY
setup.sh / setup.ps1	Add MiniMax option
docs/content/Models/cloud-providers.mdx	Add MiniMax row
README.md	Add MiniMax to provider list
tests/llm/test_minimax_llm.py	10 unit tests
tests/tts/test_minimax_tts.py	4 unit tests

Test plan

• All 10 MiniMax LLM unit tests pass (pytest tests/llm/test_minimax_llm.py)
• All 4 MiniMax TTS unit tests pass (pytest tests/tts/test_minimax_tts.py)
• Existing OpenAI LLM tests still pass (no regressions)
• Existing TTS tests still pass (no regressions)
• Integration check: LLMCreator.llms['minimax'] correctly resolves to MiniMaxLLM
• Model configs validate: 2 models registered with correct provider enum

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