feat: add MiniMax as LLM provider with M3 model support (M3 default, M2.7 kept)

[octo-patch]

Summary

• Add MiniMax as a first-class LLM provider via OpenAI-compatible eino-ext integration
• Support MiniMax-M3 (default), MiniMax-M2.7, and MiniMax-M2.7-highspeed models
• M3 is the latest model with 512K context, 128K max output, and image input support
• Temperature clamping (MiniMax requires temperature > 0)
• Response format forced to text (MiniMax does not support JSON mode)
• Full model builder with unit and integration tests

Changed Files

• backend/bizpkg/llm/modelbuilder/minimax.go - MiniMax model builder
• backend/bizpkg/llm/modelbuilder/minimax_test.go - Unit + integration tests
• backend/bizpkg/llm/modelbuilder/model_builder.go - Registration
• backend/conf/model/model_meta.json - Model metadata with M3/M2.7 entries
• backend/conf/model/template/model_template_minimax.yaml - Template config (M3 default)
• helm/charts/opencoze/files/conf/model/model_meta.json - Helm chart model metadata
• Multiple auto-generated IDL files with ModelClass_MiniMax enum

Model Configuration

Model	Context	Max Output	Image Input	Default
MiniMax-M3	512K	128K	yes	yes
MiniMax-M2.7	204K	16K	no	no
MiniMax-M2.7-highspeed	204K	16K	no	no

Older models (M2.5, M2.5-highspeed) have been removed.

Test Plan

• Unit tests for temperature clamping
• Unit tests for model builder config
• Unit tests for model builder registration
• Integration tests for M3, M2.7, M2.7-highspeed models
• JSON and YAML file validation

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