feat(benchmark): add MiniMax as LLM provider for HomeSec-Bench

[octo-patch]

Summary

Add MiniMax Cloud API as a first-class LLM provider for the Home Security AI Benchmark (HomeSec-Bench), enabling users to benchmark MiniMax models (M2.7, M2.7-highspeed, M2.5, M2.5-highspeed) against local Qwen/DeepSeek and other cloud providers like OpenAI.

Changes

• Provider presets system with auto-configured base URL and default model for MiniMax
• MiniMax auto-detection via API type, base URL pattern, or MINIMAX_API_KEY env var
• Temperature clamping [0, 1.0] for MiniMax API compatibility
• Cloud API recognition enables stream_options for token tracking
• config.yaml llmProvider selector and minimaxModel dropdown for Aegis UI
• Documentation updated SKILL.md with providers table, README.md mention
• 52 tests (49 unit + 3 integration) covering all provider logic

Files Changed (5 files, 538 additions)

File	Changes
scripts/run-benchmark.cjs	Provider presets, auto-detection, temp clamping
config.yaml	llmProvider and minimaxModel parameters
SKILL.md	Provider docs, env vars, standalone examples
README.md	MiniMax benchmark mention
tests/minimax-provider.test.cjs	49 unit + 3 integration tests

Usage

AEGIS_LLM_API_TYPE=minimax MINIMAX_API_KEY=your-key node scripts/run-benchmark.cjs

MiniMax Models

Model	Context	Notes
MiniMax-M2.7	1M tokens	Latest flagship
MiniMax-M2.7-highspeed	1M tokens	Optimized for throughput
MiniMax-M2.5	204K tokens	Previous generation
MiniMax-M2.5-highspeed	204K tokens	Fast inference

Test Plan

• All 49 unit tests pass
• All 3 integration tests pass with live MiniMax API
• Existing benchmark functionality unchanged
• Run full HomeSec-Bench suite with MiniMax-M2.7

[solderzzc]

@octo-patch , thanks for your PR, I understand the requirements is to enable MiniMax.
We are now working on swift version mlx-server. https://github.com/SharpAI/mlx-server
Will check the whole pipeline for MiniMax 2.7 integration.

[octo-patch]

Thank you @solderzzc! Sounds good — looking forward to hearing back once you've had a chance to review the full pipeline. Happy to adjust anything on this PR in the meantime.

[solderzzc]

Just give you a heads up, we are working on more API providers' integration, and testing them. Will have a release soon.

[octo-patch]

Thanks for the update @solderzzc! Great to see the progress on multi-provider API integration. Looking forward to the release — let me know if there's anything I should adjust on this PR to align with the new architecture.

[solderzzc]

Hi, @octo-patch
We are preparing a new release, it has much more API integrated, so require a bit more time for test, following is an update, the integration doesn't need to change the benchmark code since the API will be set with the existing environment variables:

Provider	Model	Score (Total 96)	Accuracy %	Avg TTFT (ms)	Avg Speed (tok/s)
OpenAI	gpt-5.4-2026-03-05	94	97.9%	601	73.4
Anthropic	claude-opus-4-20250514	93	96.9%	1336	1.8
OpenAI	gpt-5.4-mini-2026-03-17	92	95.8%	553	234.5
Alibaba Cloud	qwen3-max	92	95.8%	1170	5.9
Anthropic	claude-sonnet-4-20250514	91	94.8%	1223	2.6
MiniMax	MiniMax-M2.7-highspeed	90	93.8%	1492	3.0
Moonshot AI	kimi-k2-0905-preview	90	93.8%	2200	62.5
Anthropic	claude-opus-4-6	90	93.8%	1876	2.3
OpenAI	gpt-5.4-nano-2026-03-17	89	92.7%	508	136.4
MiniMax	MiniMax-M2.5-highspeed	89	92.7%	1792	2.8
Alibaba Cloud	qwen-plus	89	92.7%	535	11.7
Anthropic	claude-haiku-4-5	89	92.7%	530	5.3
Anthropic	claude-sonnet-4-6	89	92.7%	1368	2.6
Other Cloud	grok-4-1-fast-non-reasoning	89	92.7%	447	496.1
DeepSeek	deepseek-chat	88	91.7%	1481	21.4
MiniMax	MiniMax-M2.7	88	91.7%	3791	1.5
MiniMax	MiniMax-M2.5	86	89.6%	3230	199.1
Alibaba Cloud	qwen-flash	86	89.6%	398	28.5
Alibaba Cloud	qwen3.5-plus	82	85.4%	1255	16.3
Alibaba Cloud	qwen3.5-flash	81	84.4%	804	26.7
MiniMax	MiniMax-M2.1	77	80.2%	4530	195.7
Moonshot AI	kimi-k2-thinking	70	72.9%	1119	28.3
Moonshot AI	kimi-k2-turbo-preview	66	68.8%	773	134.9
DeepSeek	deepseek-reasoner	63	65.6%	1137	34.5
OpenAI	gpt-5-mini-2025-08-07	60	62.5%	7248	72.6
Moonshot AI	kimi-k2.5	58	60.4%	836	52.6

[solderzzc]

@octo-patch , thanks for your patience, we've been working on Cloud API integration, MiniMax is top tier for now, the benchmark code doesn't need to be changed.

Since we enabled many cloud APIs and 10k-20k code base change, so we are testing still. If you want, please check out the latest version ( not yet rolling out ) below.
Please let me know if this has any issues.

https://releases.sharpai.org/releases/SharpAI-Aegis-Setup-0.2.9-win-x64.exe
https://releases.sharpai.org/releases/SharpAI-Aegis-0.2.9-win-x64.exe

https://releases.sharpai.org/releases/SharpAI-Aegis-0.2.9-arm64.dmg
https://releases.sharpai.org/releases/SharpAI-Aegis-0.2.9-arm64-mac.zip