8b-is/deepsiper-enthea

8b-is★ 1TypeScript最后同步: 2026-08-20

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Sovereign, agent-driven LLM evaluation harness forked from deepseek-harness (dsh) — Cordis plugin architecture, EntheAI backends, and multi-model benchmarking

README 摘要

Deepsiper Enthea English 中文 Deepsiper Enthea ( deepsiper-enthea ) is a sovereign, agent-driven LLM evaluation harness forked from deepseek-ai/deepseek-harness ( dsh 0.1.0-rc.7). It provides end-to-end multi-model orchestration, self-hosted and sovereign backend integration, Cordis-powered extensible plugin pipelines, and JSON-RPC automation for modern LLM evaluation workflows. Fork Enhancements - Sovereign Backend : Native integration with EntheAI and self-hosted inference nodes with zero external data leakage. - ULTRA-LSP in core : Language-server code intelligence ( goToDefinition , findReferences , goToImplementation , hover ) shipped in the dsh-base core bundle with a TypeScript/JavaScript stdio provider, so the lsp tool is available in every profile. - Evaluation Plugins : Pluggable evaluation suites including tool-eval , eval-entheai , and custom benchmarking metrics. - OpenCode Bridge & JSON-RPC SDK : Drive evaluation runs and automated agent loops programmatically from OpenCode or custom orchestrators. - Multi-Model Orchestration : Unified provider interfaces for DeepSeek, Gemini, local models, and any OpenAI-compatible endpoint. - Granular Sandboxing & Telemetry : Native L…

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Agent/智能体agent-harnessai-agentscordisdeepseekdsh-pluginentheaievaluation-benchmarkllm-evaluation

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