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CoUnit,一个基于 LLM 的虚拟团队接口人(API),通过向量化文档、知识库、SDK和 API 等,结合 LLM 智能化团队间对接与协作。Merge artificial intelligence seamlessly with team collaboration. Leverage intelligent vectorization to process documents, knowledge bases, SDKs, and APIs, empowering teams to unleash their creativity.

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unit-mesh/co-unit

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CoUnit

CoUnit,一个基于 LLM 的虚拟团队接口人(API),通过向量化文档、知识库、SDK和 API 等,结合 LLM 智能化团队间对接与协作。

todos:

  • Semantic search for Team API
    • ArchGuard API:Code, DatabaseMap, HTTP API
    • Query for OpenAPI
    • Documents
      • Markdown
      • PDF
  • Transpile / Translate language
    • Unique language (aka Domain Language) dictionary
    • Transpile for Code, Datamap, API
  • Prompt strategy
    • HyDE
    • Jieba.rs + StarDict spike
    • Small LLM spike

CoUnit Prompt Strategy

Uses

  1. Download CoUnit-Server binary from https://github.com/unit-mesh/co-unit/releases
  2. push you domain language or config under domain directory (support, .csv and .json format)
  3. Run CoUnit-Server

Domain Language:

native english abbreviation description
CoUnit collaboration unit CU CoUnit,一个基于 LLM 的虚拟团队接口人(API),通过向量化文档、知识库、SDK和 API 等,结合 LLM 智能化团队间对接与协作。
大语言模型 Large Language Model LLM 大语言模型,是指语言模型的参数量超过 10 亿的语言模型。

Use cases

Development

Tech stacks:

  • Rust, a language empowering everyone to build reliable and efficient software.
  • Frameworks:
    • Axum, Ergonomic and modular web framework built with Tokio, Tower, and Hyper
  • Infrastructure:
    • Qdrant, Vector similarity search engine
    • Ort, ONNX Runtime is a performance-focused complete scoring engine for Open Neural Network Exchange (ONNX) models.
    • Tokenizers, Fast State-of-the-Art Tokenizers optimized for Research and Production.

Setup:

  1. Install Rust
  2. Clone this repo: git clone https://github.com/unit-mesh/co-unit
  3. install Qdrant by Docker:
docker pull qdrant/qdrant
docker run -p 6333:6333 -p 6334:6334 \
    -e QDRANT__SERVICE__GRPC_PORT="6334" \
    qdrant/qdrant

4.Run CoUnit-Server.

API testing

use counit-server.http to test API.

Integration example with ArchGuard and AutoDev

AutoDev: https://github.com/unit-mesh/auto-dev

ArchGuard: https://github.com/archguard/archguard

Full processes:

Architecture

  1. Download ArchGuard CLI (scanner_cli-2.0.x-all.jar) from: [https://github.com/archguard/archguard/releases]
  2. Run ArchGuard CLI to upload data to Co-Unit:
Usage: runner [OPTIONS]

  scanner cli

Options:
  --type [SOURCE_CODE|GIT|DIFF_CHANGES|SCA|RULE|ARCHITECTURE|ESTIMATE|OPENAPI]
  --system-id TEXT                 system id
  --server-url TEXT                the base url of the archguard api server
  --workspace TEXT                 the workspace directory
  --path TEXT                      the path of target project
  --output TEXT                    http, csv, json, console
  --output-dir TEXT                output directory
  --analyser-spec TEXT             Override the analysers via json.
  --slot-spec TEXT                 Override the slot via json.
  --language TEXT                  language: Java, Kotlin, TypeScript, CSharp,
                                   Python, Golang.
  --rules TEXT                     rules: webapi, test, sql
  --features TEXT                  features: apicalls, datamap.
  --repo-id TEXT                   repository id used for git analysing
  --branch TEXT                    repository branch
  --started-at INT                 TIMESTAMP, the start date of the scanned
                                   commit
  --since TEXT                     COMMIT ID, the specific revision of the
                                   baseline
  --until TEXT                     COMMIT ID, the specific revision of the
                                   target
  --depth INT                      INTEGER, the max loop depth
  --with-function-code             BOOLEAN, whether to include the function
                                   code
  -h, --help                       Show this message and exit

For example:

java -jar scanner_cli-2.0.6-all.jar --language=Kotlin --path=your_path_to_code --server-url=http://localhost:8765 --repo-id="archguard" --with-function-code --output=http  --features=apicalls

OpenAPI example:

java -jar scanner_cli-2.0.6-all.jar --language=Kotlin --path=your_swagger_3_file --server-url=http://localhost:8765 --repo-id="payment" --output=http --type=OPENAPI 

ArchGuard APIs:

### ArchGuard Code datastrcuture
POST http://127.0.0.1:8765/scanner/:systemId/reporting/class-items

### ArchGuard OpenAPI structure
POST http://127.0.0.1:8765/scanner/:systemId/reporting/openapi

### ArchGuard Service Datamap
POST http://127.0.0.1:8765/scanner/:systemId/reporting/container-services

### ArchGuard Datamap 
POST http://127.0.0.1:8765/scanner/:systemId/reporting/datamap-relations

License

The Co-Unit index is licensed under the Apache 2.0 license based on https://github.com/BloopAI/bloop . See LICENSE in counit-index.

This code is distributed under the MPL 2.0 license. See LICENSE in this directory.

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CoUnit,一个基于 LLM 的虚拟团队接口人(API),通过向量化文档、知识库、SDK和 API 等,结合 LLM 智能化团队间对接与协作。Merge artificial intelligence seamlessly with team collaboration. Leverage intelligent vectorization to process documents, knowledge bases, SDKs, and APIs, empowering teams to unleash their creativity.

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