Use this PR summary: --- ## [TOO-522] Suppress chardet warning and fix OpenTelemetry telemetry ### Summary Reduces noisy chardet/urllib3 warnings in telemetry and updates the OpenTelemetry logger API to match the current SDK. ### Changes **`libs/arcade-serve/arcade_serve/fastapi/telemetry.py`** - Add `warnings.filterwarnings` to ignore `RequestsDependencyWarning` when chardet≥6 is present (requests uses charset-normalizer regardless) - Replace `_logs.set_logger_provider` with `set_logger_provider` from `opentelemetry._logs` (API change in OpenTelemetry 1.15+) **`.ruff.toml`** - Add per-file ignore for E402 on `telemetry.py` because `warnings.filterwarnings` must run before the opentelemetry imports that pull in requests **`libs/arcade-serve/pyproject.toml`** - Bump version 3.2.1 → 3.2.2 --- Closes TOO-522 <!-- CURSOR_SUMMARY --> --- > [!NOTE] > **Low Risk** > Low risk: changes are limited to telemetry initialization (warning filtering and OpenTelemetry logger-provider wiring) plus a patch version bump, with minimal impact outside observability. > > **Overview** > Reduces telemetry startup noise by filtering `requests` `chardet`-related warnings before OpenTelemetry imports, and updates logging initialization to use `opentelemetry._logs.set_logger_provider` instead of the deprecated `_logs.set_logger_provider` call. > > Adds a targeted Ruff `E402` per-file ignore for `telemetry.py` to allow the early warning filter, and bumps `arcade-serve` version from `3.2.1` to `3.2.2`. > > <sup>Written by [Cursor Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit 5166c51be7cdfb05f86df18490a0c98b44f771c2. This will update automatically on new commits. Configure [here](https://cursor.com/dashboard?tab=bugbot).</sup> <!-- /CURSOR_SUMMARY --> |
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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
To add a toolkit to a hosted worker such as FastAPI, you can register them in the worker itself. This allows you to explicitly define which tools should be included on a particular worker.
Here is an example of adding the math toolkit (pip install arcade-math) to a FastAPI Worker:
import arcade_math
from fastapi import FastAPI
from arcade_tdk import Toolkit
from arcade_serve.fastapi import FastAPIWorker
app = FastAPI()
worker_secret = os.environ.get("ARCADE_WORKER_SECRET")
worker = FastAPIWorker(app, secret=worker_secret)
worker.register_toolkit(Toolkit.from_module(arcade_math))
Here is an example of adding the math toolkit (pip install arcade-math) to a MCP Worker
import arcade_math
from arcade_core.catalog import ToolCatalog
from arcade_serve.mcp.stdio import StdioServer
# 1. Create and populate the tool catalog
catalog = ToolCatalog()
catalog.add_module(arcade_math)
# 2. Main entrypoint
async def main():
# Create the worker with the tool catalog
worker = StdioServer(catalog)
# Run the worker
await worker.run()
if __name__ == "__main__":
import asyncio
asyncio.run(main())
License
MIT License - see LICENSE file for details.