## Before
### Tool: ``GoogleNews.SearchNewsStories``
```python
@tool(requires_secrets=["SERP_API_KEY"])
async def search_news_stories(
context: ToolContext,
keywords: Annotated[
str,
"Keywords to search for news articles. E.g. 'Apple launches new iPhone'.",
],
country_code: Annotated[
CountryCode | None,
"2-character country code to search for news articles. "
"E.g. 'us' (United States). "
f"Defaults to '{DEFAULT_GOOGLE_NEWS_COUNTRY}'.",
] = None,
language_code: Annotated[
LanguageCode,
"2-character language code to search for news articles. E.g. 'en' (English). "
f"Defaults to '{DEFAULT_GOOGLE_NEWS_LANGUAGE}'.",
] = DEFAULT_GOOGLE_NEWS_LANGUAGE,
limit: Annotated[
int | None,
"Maximum number of news articles to return. Defaults to None "
"(returns all results found by the API).",
] = None,
) -> Annotated[dict[str, Any]]:
"""Search for news articles related to a given query."""
...
```
### Tool Definition: ``GoogleNews.SearchNewsStories``
```
{
"name": "SearchNewsStories",
"fully_qualified_name": "GoogleNews.SearchNewsStories",
"description": "Search for news articles related to a given query.",
"toolkit": {
"name": "GoogleNews",
"description": "Arcade.dev LLM tools for getting new via Google News",
"version": "2.0.0"
},
"input": {
"parameters": [
{
"name": "keywords",
"required": true,
"description": "Keywords to search for news articles. E.g. 'Apple launches new iPhone'.",
"value_schema": {
"val_type": "string",
"inner_val_type": null,
"enum": null,
},
"inferrable": true
},
{
"name": "country_code",
"required": false,
"description": "2-character country code to search for news articles. E.g. 'us' (United States). Defaults to 'None'.",
"value_schema": {
"val_type": "string",
"inner_val_type": null,
"enum": null,
},
"inferrable": true
},
{
"name": "language_code",
"required": false,
"description": "2-character language code to search for news articles. E.g. 'en' (English). Defaults to 'en'.",
"value_schema": {
"val_type": "string",
"inner_val_type": null,
"enum": null,
},
"inferrable": true
},
{
"name": "limit",
"required": false,
"description": "Maximum number of news articles to return. Defaults to None (returns all results found by the API).",
"value_schema": {
"val_type": "integer",
"inner_val_type": null,
"enum": null,
},
"inferrable": true
}
]
},
"output": {
"description": "News search results with article details.",
"available_modes": [
"value",
"error"
],
"value_schema": {
"val_type": "json"
}
},
"requirements": {
"authorization": null,
"secrets": [
{
"key": "serp_api_key"
}
],
"metadata": null
},
"deprecation_message": null
},
```
## After
### Enhanced Tool: ``GoogleNews.SearchNewsStories``
```python
"""Type definitions for Google News API responses and parameters."""
from typing_extensions import TypedDict
CountryCode = str
LanguageCode = str
class SearchNewsParams(TypedDict):
"""Input parameters for searching news articles."""
keywords: str
"""Search query terms to find relevant news articles \
(e.g., 'Apple launches new iPhone')."""
country_code: CountryCode | None
"""Optional 2-letter country code to filter news by region \
(e.g., 'us' for United States, 'uk' for United Kingdom)."""
language_code: LanguageCode | None
"""Optional 2-letter language code to filter news by language \
(e.g., 'en' for English, 'es' for Spanish)."""
limit: int | None
"""Optional maximum number of news articles to return. \
If not specified, returns all results from the API."""
class SourceInfo(TypedDict, total=False):
"""Information about the news source/publication."""
name: str
"""Name of the publication (e.g., 'CNN', 'BBC News', 'The New York Times')."""
icon: str
"""URL to the source's favicon or logo image."""
authors: list[str]
"""List of author names for the article, if available."""
class NewsResult(TypedDict, total=False):
"""Individual news article from the Google News API response."""
position: int
"""Ranking position of this result in the search results."""
title: str
"""Headline or title of the news article."""
link: str
"""Full URL to the original news article."""
source: SourceInfo
"""Information about the publication source."""
date: str
"""Publication date and time (e.g., '2 hours ago', 'Dec 15, 2023')."""
snippet: str
"""Brief excerpt or summary from the article content."""
thumbnail: str
"""URL to a high-resolution thumbnail image for the article."""
thumbnail_small: str
"""URL to a low-resolution thumbnail image for the article."""
story_token: str
"""Token for accessing full coverage of this news story across multiple sources."""
stories: list["NewsResult"]
"""Related news stories from other sources covering the same topic."""
highlight: dict
"""Additional highlighted information about the story."""
class SearchMetadata(TypedDict, total=False):
"""Metadata about the search request and processing."""
id: str
"""Unique identifier for this search request within SerpApi."""
status: str
"""Current processing status ('Processing', 'Success', or 'Error')."""
json_endpoint: str
"""URL to retrieve the JSON results for this search."""
created_at: str
"""Timestamp when the search request was created."""
processed_at: str
"""Timestamp when the search request was processed."""
google_news_url: str
"""Original Google News URL that would return these results."""
total_time_taken: float
"""Total time in seconds taken to process this search."""
class SearchParameters(TypedDict, total=False):
"""Parameters used for the search request."""
engine: str
"""Search engine used (always 'google_news' for this API)."""
q: str
"""Search query string."""
gl: str
"""Country code used for geographic filtering."""
hl: str
"""Language code used for language filtering."""
topic_token: str
"""Token for accessing specific news topics (e.g., 'World', 'Business', 'Technology')."""
publication_token: str
"""Token for accessing news from specific publishers."""
class MenuLink(TypedDict):
"""Navigation link for news categories or topics."""
title: str
"""Display text for the menu item (e.g., 'Technology', 'Sports', 'Business')."""
topic_token: str
"""Token to access this specific topic or category."""
serpapi_link: str
"""SerpApi URL to search within this topic."""
class TopStoriesLink(TypedDict):
"""Link to top stories section."""
topic_token: str
"""Token to access top stories."""
serpapi_link: str
"""SerpApi URL to retrieve top stories."""
class GoogleNewsResponse(TypedDict, total=False):
"""Complete response from the Google News API."""
search_metadata: SearchMetadata
"""Metadata about the search request and processing."""
search_parameters: SearchParameters
"""Parameters that were used for this search."""
news_results: list[NewsResult]
"""List of news articles matching the search criteria."""
menu_links: list[MenuLink]
"""Navigation links to different news categories and topics."""
top_stories_link: TopStoriesLink
"""Link to access top stories."""
title: str
"""Title of the page or topic being displayed."""
class SimplifiedNewsResult(TypedDict):
"""Simplified news article format for tool output."""
title: str
"""Headline of the news article."""
link: str
"""URL to the full article."""
source: str | None
"""Name of the publication source."""
date: str | None
"""When the article was published."""
snippet: str | None
"""Brief excerpt from the article."""
class SearchNewsOutput(TypedDict):
"""Output format for the search_news_stories tool."""
news_results: list[SimplifiedNewsResult]
"""List of news articles in simplified format."""
@tool(requires_secrets=["SERP_API_KEY"])
async def search_news_stories(
context: ToolContext,
keywords: Annotated[
str,
"Keywords to search for news articles. E.g. 'Apple launches new iPhone'.",
],
country_code: Annotated[
CountryCode | None,
"2-character country code to search for news articles. "
"E.g. 'us' (United States). "
f"Defaults to '{DEFAULT_GOOGLE_NEWS_COUNTRY}'.",
] = None,
language_code: Annotated[
LanguageCode,
"2-character language code to search for news articles. E.g. 'en' (English). "
f"Defaults to '{DEFAULT_GOOGLE_NEWS_LANGUAGE}'.",
] = DEFAULT_GOOGLE_NEWS_LANGUAGE,
limit: Annotated[
int | None,
"Maximum number of news articles to return. Defaults to None "
"(returns all results found by the API).",
] = None,
) -> Annotated[SearchNewsOutput, "News search results with article details."]:
"""Search for news articles related to a given query."""
...
```
### Enhanced Tool Definition: ``GoogleNews.SearchNewsStories``
```json
{
"name": "SearchNewsStories",
"fully_qualified_name": "GoogleNews.SearchNewsStories",
"description": "Search for news articles related to a given query.",
"toolkit": {
"name": "GoogleNews",
"description": "Arcade.dev LLM tools for getting new via Google News",
"version": "2.0.0"
},
"input": {
"parameters": [
{
"name": "keywords",
"required": true,
"description": "Keywords to search for news articles. E.g. 'Apple launches new iPhone'.",
"value_schema": {
"val_type": "string",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": null
},
"inferrable": true
},
{
"name": "country_code",
"required": false,
"description": "2-character country code to search for news articles. E.g. 'us' (United States). Defaults to 'None'.",
"value_schema": {
"val_type": "string",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": null
},
"inferrable": true
},
{
"name": "language_code",
"required": false,
"description": "2-character language code to search for news articles. E.g. 'en' (English). Defaults to 'en'.",
"value_schema": {
"val_type": "string",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": null
},
"inferrable": true
},
{
"name": "limit",
"required": false,
"description": "Maximum number of news articles to return. Defaults to None (returns all results found by the API).",
"value_schema": {
"val_type": "integer",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": null
},
"inferrable": true
}
]
},
"output": {
"description": "News search results with article details.",
"available_modes": [
"value",
"error"
],
"value_schema": {
"val_type": "json",
"inner_val_type": null,
"enum": null,
"properties": {
"news_results": {
"val_type": "array",
"inner_val_type": "json",
"enum": null,
"properties": null,
"inner_properties": {
"title": {
"val_type": "string",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": "Headline of the news article."
},
"link": {
"val_type": "string",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": "URL to the full article."
},
"source": {
"val_type": "string",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": "Name of the publication source."
},
"date": {
"val_type": "string",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": "When the article was published."
},
"snippet": {
"val_type": "string",
"inner_val_type": null,
"enum": null,
"properties": null,
"inner_properties": null,
"description": "Brief excerpt from the article."
}
},
"description": "List of news articles in simplified format."
}
},
"inner_properties": null,
"description": null
}
},
"requirements": {
"authorization": null,
"secrets": [
{
"key": "serp_api_key"
}
],
"metadata": null
},
"deprecation_message": null
},
```
---------
Co-authored-by: Eric Gustin <eric@arcade.dev>
## Summary
This PR removes the requirement that all toolkits must have the arcade_
prefix and introduces a more flexible toolkit discovery system using
Python entry points.
### 🏷️ Flexible Toolkit Naming
* Community toolkits: Only add arcade_ prefix when the user is in
arcade-ai/toolkits/ directory and explicitly chooses to create a
community contribution.
* External toolkits: No prefix requirement - developers can name their
toolkits however they want
* Toolkit names are now determined by user choice rather than enforced
automatically
### 🔍 Entry Point Discovery
* Added find_arcade_toolkits_from_entrypoints() method to discover
toolkits via entry points
* Entry point group: arcade_toolkits with name: toolkit_name
* Updated pyproject.toml template to include entry point configuration
* Entry point discovery takes precedence over prefix-based discovery for
deduplication
### 📦 Backward Compatibility
* Existing arcade_* prefixed toolkits continue to work via
find_arcade_toolkits_from_prefix()
find_all_arcade_toolkits() now combines both discovery methods
* Deduplication logic prefers entry point toolkits over prefix-based
ones when package names match
### 🛠️ `arcade new` Template Updates
* pyproject.toml template for `arcade new` now includes entry point
configuration: [project.entry-points.arcade_toolkits]
### 🔧 Minor Improvements
* Refactored _strip_arcade_prefix() into a separate method for
reusability
* Updated variable naming for clarity (community_toolkit →
is_community_toolkit)
### Benefits
* Developer Freedom: Toolkit developers are no longer forced to use the
arcade_ prefix. They are also no longer forced to use the package name
as the toolkit name.
* Cleaner Naming: External toolkits can use more natural names (e.g.,
my_company_toolkit instead of arcade_my_company_toolkit)
* Better Discovery: Entry points provide a more standard Python
mechanism for plugin discovery
* Flexible Distribution: Toolkits can be distributed with any package
name while still being discoverable
### Testing
* Added comprehensive tests for the new entry point functionality
* Tests cover edge cases like deduplication, error handling, and
backward compatibility
### Version Bumps
arcade-core: 2.0.0 → 2.1.0
arcade-ai: 2.0.5 → 2.1.0
This change makes the Arcade toolkit ecosystem more flexible and
developer-friendly while maintaining full backward compatibility with
existing toolkits.
---------
Co-authored-by: Mateo Torres <mateo@arcade.dev>
Say you are @shubcodes and running arcade on replit or vs codespaces.
Today, `arcade login` assumes that the browser you've opened for the
auth flow's "localhost" is the same that is running the `arcade login`
command. If you are running on one of these remote code execution
environments, that won't be true.
Usage:
```
arcade login --callback-host "https://replit.com:9999/path/to/my/codespace"
```
This reintroduces a question into `arcade new`, which adds the ruff and
pre-commit files into new toolkits that are aimed to be contributed back
to Arcade AI.
I use it in the toolkit building tutorial
---------
Co-authored-by: Evan Tahler <evantahler@gmail.com>
`arcade deploy` is failing for local packages that have large unneeded
files such as `uv.lock`. It is failing because it is taking too long for
the CLI to compress and PUT to the cloud.
The current `arcade new` command fails to `make install` and `make
check` if it's not manually patched with pre-commit files. It also fails
due to local dependencies if it's not run inside `arcade-ai/toolkits`
This PR patches the toolkit template to only include the local
dependencies if it detects is `arcade new` being run inside
`arcade-ai/toolkits`, it also makes pre-commit commands optional.
### 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>
