### 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>
185 lines
6.3 KiB
Python
185 lines
6.3 KiB
Python
import logging
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import os
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import time
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from datetime import datetime
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from typing import Any, Callable, ClassVar
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from arcade_core.catalog import ToolCatalog, Toolkit
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from arcade_core.executor import ToolExecutor
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from arcade_core.schema import (
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ToolCallRequest,
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ToolCallResponse,
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ToolDefinition,
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)
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from opentelemetry import trace
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from opentelemetry.metrics import Meter
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from arcade_serve.core.common import Router, Worker
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from arcade_serve.core.components import (
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CallToolComponent,
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CatalogComponent,
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HealthCheckComponent,
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WorkerComponent,
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)
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logger = logging.getLogger(__name__)
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class BaseWorker(Worker):
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"""
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A base worker class that provides a default implementation for registering tools and invoking them.
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Worker implementations for specific web frameworks will inherit from this class.
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"""
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base_path = "/worker" # By default, prefix all our routes with /worker
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default_components: ClassVar[tuple[type[WorkerComponent], ...]] = (
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CatalogComponent,
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CallToolComponent,
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HealthCheckComponent,
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)
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def __init__(
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self, secret: str | None = None, disable_auth: bool = False, otel_meter: Meter | None = None
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) -> None:
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"""
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Initialize the BaseWorker with an empty ToolCatalog.
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If no secret is provided, the worker will use the ARCADE_WORKER_SECRET environment variable.
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"""
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self.catalog = ToolCatalog()
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self.disable_auth = disable_auth
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if disable_auth:
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logger.warning(
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"Warning: Worker is running without authentication. Not recommended for production."
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)
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self.secret = self._set_secret(secret, disable_auth)
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self.environment = os.environ.get("ARCADE_ENVIRONMENT", "local")
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self.tool_counter = None
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if otel_meter:
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self.tool_counter = otel_meter.create_counter(
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"tool_call", "requests", "Total number of tools called"
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)
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def _set_secret(self, secret: str | None, disable_auth: bool) -> str:
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if disable_auth:
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return ""
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# If secret is provided, use it
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if secret:
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return secret
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# If secret is not provided, try to get it from environment variables
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env_secret = os.environ.get("ARCADE_WORKER_SECRET")
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if env_secret:
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return env_secret
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raise ValueError(
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"No secret provided for worker. Set the ARCADE_WORKER_SECRET environment variable."
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)
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def get_catalog(self) -> list[ToolDefinition]:
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"""
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Get the catalog as a list of ToolDefinitions.
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"""
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return [tool.definition for tool in self.catalog]
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def register_tool(self, tool: Callable, toolkit_name: str) -> None:
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"""
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Register a tool to the catalog.
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"""
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self.catalog.add_tool(tool, toolkit_name)
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def register_toolkit(self, toolkit: Toolkit) -> None:
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"""
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Register a toolkit to the catalog.
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"""
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self.catalog.add_toolkit(toolkit)
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async def call_tool(self, tool_request: ToolCallRequest) -> ToolCallResponse:
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"""
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Call (invoke) a tool using the ToolExecutor.
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"""
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tool_fqname = tool_request.tool.get_fully_qualified_name()
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try:
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materialized_tool = self.catalog.get_tool(tool_fqname)
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except KeyError:
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raise ValueError(
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f"Tool {tool_fqname} not found in catalog with toolkit version {tool_request.tool.version}."
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)
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start_time = time.time()
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if self.tool_counter:
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self.tool_counter.add(
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1,
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{
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"tool_name": tool_fqname.name,
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"toolkit_version": str(tool_fqname.toolkit_version),
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"toolkit_name": tool_fqname.toolkit_name,
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"environment": self.environment,
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},
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)
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execution_id = tool_request.execution_id or ""
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logger.info(
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f"{execution_id} | Calling tool: {tool_fqname} version: {tool_request.tool.version}"
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)
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logger.debug(f"{execution_id} | Tool inputs: {tool_request.inputs}")
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tracer = trace.get_tracer(__name__)
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with tracer.start_as_current_span("RunTool"):
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output = await ToolExecutor.run(
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func=materialized_tool.tool,
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definition=materialized_tool.definition,
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input_model=materialized_tool.input_model,
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output_model=materialized_tool.output_model,
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context=tool_request.context,
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**tool_request.inputs or {},
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)
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end_time = time.time() # End time in seconds
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duration_ms = (end_time - start_time) * 1000 # Convert to milliseconds
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if output.error:
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logger.warning(
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f"{execution_id} | Tool {tool_fqname} version {tool_request.tool.version} failed"
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)
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logger.warning(f"{execution_id} | Tool error: {output.error.message}")
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logger.warning(
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f"{execution_id} | Tool developer message: {output.error.developer_message}"
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)
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logger.debug(
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f"{execution_id} | duration: {duration_ms}ms | Tool output: {output.value}"
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)
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if output.error.traceback_info:
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logger.debug(f"{execution_id} | Tool traceback: {output.error.traceback_info}")
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else:
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logger.info(
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f"{execution_id} | Tool {tool_fqname} version {tool_request.tool.version} success"
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)
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logger.debug(
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f"{execution_id} | duration: {duration_ms}ms | Tool output: {output.value}"
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)
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return ToolCallResponse(
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execution_id=execution_id,
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duration=duration_ms,
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finished_at=datetime.now().isoformat(),
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success=not output.error,
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output=output,
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)
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def health_check(self) -> dict[str, Any]:
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"""
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Provide a health check that serves as a heartbeat of worker health.
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"""
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return {"status": "ok", "tool_count": str(len(self.catalog))}
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def register_routes(self, router: Router) -> None:
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"""
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Register the necessary routes to the application.
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"""
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for component_cls in self.default_components:
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component_cls(self).register(router)
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