### Overview Major restructuring from monolithic `arcade-ai` package to modular library architecture with standardized uv-based dependency management.  ### New Package Structure - **`arcade-tdk`** - Lightweight toolkit development kit (core decorators, auth) - **`arcade-core`** - Core execution engine and catalog functionality - **`arcade-serve`** - FastAPI/MCP server components - **`arcade-ai`** - Meta package that includes CLI functionality. Optionally include evals via the `evals` extra. Optionally include all packages via the `all` extra. ### Key Benefits - **Lighter Dependencies**: Toolkits now depend only on `arcade-tdk` (~2 deps) vs full `arcade-ai` (~30+ deps) - **Faster Builds**: uv provides 10-100x faster dependency resolution and installation - **Better Modularity**: Clear separation of concerns, consumers import only what they need - **Standard Tooling**: Eliminates custom poetry scripts, uses standard Python packaging ### Migration Impact - All 20 toolkits converted from poetry → uv with `arcade-tdk` dependencies plus `arcade-ai[evals]` and `arcade-serve` dev dependencies. When developing locally, devs should install toolkits via `make install-local`. - Modern Python 3.10+ type hints throughout - Standardized build system with hatchling backend - Enhanced Makefile with robust toolkit management commands - Removed `arcade dev` CLI command - Reduce the number of files created by `arcade new` and add an option to not generate a tests and evals folder. This foundation enables faster development cycles and cleaner dependency chains for the growing toolkit ecosystem. ### Todo After this PR is merged - [ ] Post-merge workflow(s) (release & publish containers, etc) - [ ] Release order plan. @EricGustin suggests releasing in the following order: 1. `arcade-core` version 0.1.0 2. `arcade-serve` version 0.1.0 and `arcade-tdk` version 0.1.0 3. `arcade-ai` version 2.0.0 4. Patch release for all toolkits (all changes in toolkits are internal refactors) - [ ] [Update docs](https://github.com/ArcadeAI/docs/pull/318) --------- Co-authored-by: Eric Gustin <eric@arcade.dev> Co-authored-by: Eric Gustin <34000337+EricGustin@users.noreply.github.com> |
||
|---|---|---|
| .. | ||
| arcade_serve | ||
| pyproject.toml | ||
| README.md | ||
Arcade Serve
Serving infrastructure for Arcade tools and workers.
Overview
Arcade Serve provides the infrastructure for serving Arcade tools:
- FastAPI Worker: High-performance FastAPI-based worker implementation
- MCP Server: Model Context Protocol server for tool integration
- Core Abstractions: Base worker classes and components
- Authentication: Auth utilities and routing
- Runtime Management: Tool execution and lifecycle management
Installation
pip install arcade-serve
Usage
FastAPI Worker
from arcade_serve import FastAPIWorker
# Create a FastAPI worker
worker = FastAPIWorker()
# Add tools to the worker
worker.add_toolkit("path/to/toolkit")
# Start the server
worker.start(host="0.0.0.0", port=8000)
MCP Server
from arcade_serve import StdioServer
# Create an MCP server
server = StdioServer()
# Add tools
server.add_toolkit("path/to/toolkit")
# Start the server
server.run()
Custom Worker
from arcade_serve import BaseWorker, WorkerComponent
class MyWorker(BaseWorker):
def __init__(self):
super().__init__()
self.add_component(MyCustomComponent())
async def handle_request(self, request):
# Custom request handling
return await super().handle_request(request)
License
MIT License - see LICENSE file for details.