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This release is a pre-release and may not be stable for production use.

MAICA-幻象引擎

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本页面是MAICA的指引页面, 当前位置是MAICA后端仓库.

MAICA项目的详细介绍页是https://maica.monika.love/.

要快速开始或了解授权, 请参阅https://maica.monika.love/tos.


MAICA的子模组前端仓库地址是https://github.com/Mon1-innovation/MAICA_ChatSubmod.

MAICA-MTTS的子模组前端仓库地址是https://github.com/Mon1-innovation/MAICA_MttsSubmod.


MAICA的后端仓库地址是https://github.com/Mon1-innovation/MAICA.

MAICA的后端compact分支地址是https://github.com/Mon1-innovation/MAICA_Server_Submod.

MAICA-MTTS的仓库地址是https://github.com/Mon1-innovation/MAICA_MTTS.


MAICA LOA分支的模型:

MAICA LIA分支的模型:

MAICA DAA分支的模型:

MAICA-MTTS模型:

MAICA的基本数据集仓库:


MAICA的相关文档存储于https://github.com/Mon1-innovation/MAICA/tree/main/document.


Anything below this point is written by AI.

快速开始

MAICA 后端需要 Python 3.12 或更高版本,并支持 Windows 与 Linux。核心模型与 MFocus 模型使用 OpenAI-compatible Responses API,需要另行部署;数据库可使用 MySQL/MariaDB,单机测试也可使用 SQLite。

python -m pip install -e .
maica -t create
# 编辑 .env:至少设置 MAICA_IS_REAL_ENV、数据库以及 MCORE/MFOCUS 连接
maica -e .env

默认监听 WebSocket :5000 与 HTTP :6000,可通过 MAICA_WS_HOST/PORT 和 MAICA_HTTP_HOST/PORT 修改。完整配置项及说明见 maica/env_basis;部署步骤见 document/Backend Deployment.md,接口协议见 document/API Documents.md。

开发与验证

python -m pip install -e ".[dev]"
python -m pytest -q
python -m ruff check maica tests examples

examples/ 中的脚本是需要真实模型或 Milvus 的手工连通性检查,不属于离线测试。维护者应同时阅读 document/MAINTENANCE.md。

部署安全

公开实例应在反向代理上启用 TLS;HTTP 鉴权优先使用 Authorization: Bearer <access_token>,避免把令牌写入 URL。请保管 maica/keys/prv.key,为 NVWatcher 配置 SSH host key,并通过 MAICA_MVISTA_TRUSTED 的主机/IP/CIDR 规则限制视觉模型的图片来源。

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