feat(benchmark): add MiniMax as LLM provider for HomeSec-Bench#176
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octo-patch wants to merge 1 commit intoSharpAI:masterfrom
Open
feat(benchmark): add MiniMax as LLM provider for HomeSec-Bench#176octo-patch wants to merge 1 commit intoSharpAI:masterfrom
octo-patch wants to merge 1 commit intoSharpAI:masterfrom
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…Bench Add MiniMax Cloud API (M2.7, M2.7-highspeed, M2.5, M2.5-highspeed) as a built-in provider preset for the Home Security AI Benchmark, enabling users to benchmark MiniMax models against local and other cloud LLMs. Changes: - Provider presets system with auto-configured base URL for MiniMax (api.minimax.io) and OpenAI - MiniMax auto-detection via AEGIS_LLM_API_TYPE=minimax or base URL - Temperature clamping [0, 1.0] for MiniMax API compatibility - MINIMAX_API_KEY env var as fallback when AEGIS_LLM_API_KEY is not set - MiniMax recognized as cloud API for stream_options support - config.yaml: llmProvider selector (builtin/openai/minimax) and minimaxModel selector (M2.7, M2.7-highspeed, M2.5, M2.5-highspeed) - Updated SKILL.md with provider docs, supported providers table, standalone usage examples - README.md: mention MiniMax as benchmark provider option - 52 tests (49 unit + 3 integration) covering provider resolution, model defaults, detection, temperature clamping, config validation
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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
Files Changed (5 files, 538 additions)
scripts/run-benchmark.cjsconfig.yamlSKILL.mdREADME.mdtests/minimax-provider.test.cjsUsage
MiniMax Models
Test Plan