https://github.com/wvlet/scala-ai

Scala 3 for AI-Driven Coding & Agentic Systems
https://github.com/wvlet/scala-ai

Last synced: 3 months ago
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Scala 3 for AI-Driven Coding & Agentic Systems

• Host: GitHub
• URL: https://github.com/wvlet/scala-ai
• Owner: wvlet
• License: apache-2.0
• Created: 2025-05-01T20:50:01.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-06-25T16:18:45.000Z (3 months ago)
• Last Synced: 2025-06-25T17:34:43.698Z (3 months ago)
• Language: Scala
• Homepage:
• Size: 546 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# wvlet/scala-ai: Scala 3 for AI-Driven Coding & Agentic Systems

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

**`wvlet/scala-ai` empowers Scala 3 for modern AI coding and building AI agent applications.** It provides robust core utilities and tools for seamless LLM integration and agent orchestration.

This is achieved through two primary modules:

* **`ai-core`**: Foundational utilities adapted from [`wvlet/airframe`](https://wvlet.io/airframe) for Scala 3, providing:

    * **Logging**: Performant, structured logging.

    * **Object Design**: Well-managed object lifecycle and configuration (using type introspection and DI concepts from `airframe`).

    * **SerDe**: Efficient serialization/deserialization of Scala case classes between common data exchange formats, JSON, MessagePack, etc.

    * **RPC/HTTP Framework**: For quickly building RPC/HTTP server and clients without boilerplate.

    * **Testing Framework**: A lightweight testing framework for Scala 3, inspired by `airspec`.

    * We also have a collection of prompts so that LLM can produce quality code. 

* **`ai-agent`**: Tools for building AI agents, offering:

    * **Unified LLM APIs**: A consistent `LLMAgent` interface for AWS Bedrock, Google Vertex AI, and future LLM services.

    * **Agent Orchestration**: Components for advanced agent control flows.

    * **Dynamic Tool Usage**: Enabling agents to use external tools, including MCP (Model Context Protcotol) or other RCP servers built with `ai-core`.

    * **Common Agent Patterns**: Support for RAG (Retrieval Augmented Generation), vector search, and other common agent patterns.

Leveraging Scala 3's powerful type system and `airframe`'s battle-tested components, `scala-ai` enables the development of efficient, type-safe, and reliable applications.

**Note:** This library is under active development. APIs may change.

## Getting Started

Add the dependencies to your `build.sbt`:

```scala

// build.sbt

val scalaAIVersion = "LATEST_VERSION" // TODO: Replace with the actual latest version

libraryDependencies ++= Seq(

  // Core utilities for Scala 3 development

  "org.wvlet.ai" %% "ai-core" % scalaAIVersion,

  // High-level AI-agent interfaces (includes ai-core)

  "org.wvlet.ai" %% "ai-agent" % scalaAIVersion,

  // Optional: Choose AI service integrations

  "org.wvlet.ai" %% "ai-agent-bedrock" % scalaAIVersion,

  // "org.wvlet.ai" %% "ai-agent-vertexai" % scalaAIVersion,

)