Update Examples & Various Renames (#233)

# PR Description
* This PR updates code in `examples/` to be compatible with version
1.0.0
* This PR removes the Spotify examples since the Arcade hosted worker
doesn't currently cataloge the Spotify toolkit. We can reintroduce these
examples when it does.
* This PR performs various renames across the codebase for
`arcade-ai.com` --> `arcade.dev` and `Arcade AI` --> `Arcade`

CONTRIBUTING.md

@@ -29,7 +29,7 @@ Anything tagged with "enhancement" and "help wanted" is open to whoever wants to
 
 ## Write Documentation
 
-Arcade AI could always use more documentation, whether as part of the official docs, in docstrings, or even on the web in blog posts, articles, and such.
+Arcade could always use more documentation, whether as part of the official docs, in docstrings, or even on the web in blog posts, articles, and such.
 
 ## Submit Feedback
 

Makefile

@@ -157,7 +157,7 @@ clean-dist: ## Clean all built distributions
 
 .PHONY: help
 help:
-	@echo "🛠️ Arcade AI Dev Commands:\n"
+	@echo "🛠️ Arcade Dev Commands:\n"
 	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
 
 

README.md

@@ -43,7 +43,7 @@
 
 [Arcade](https://arcade.dev?ref=github) provides developer-focused tooling and APIs designed to improve the capabilities of LLM applications and agents.
 
-By removing the complexity of connecting agentic applications with your users' data and services, Arcade AI enables developers to focus on building their agentic applications.
+By removing the complexity of connecting agentic applications with your users' data and services, Arcade enables developers to focus on building their agentic applications.
 
 To learn more, check out our [documentation](https://docs.arcade.dev/home).
 
@@ -57,7 +57,7 @@ _Pst. hey, you, give us a star if you like it!_
 
 ### Requirements
 
-1. An **[Arcade AI account](https://arcade-ai.typeform.com/early-access)** (currently a waitlist)
+1. An **[Arcade account]([https://arcade-ai.typeform.com/early-access](https://account.arcade.dev/registerOrRedirect?return_to=https%3A%2F%2Fapi.arcade.dev%2Fdashboard&new_user_return_to=https%3A%2F%2Fapi.arcade.dev%2Fdashboard%2Fwelcome))**
 2. **Python 3.10+** and **pip**
 
 ### Installation
@@ -68,7 +68,7 @@ Install the package:
 pip install 'arcade-ai[fastapi]'
 ```
 
-Log in to your account:
+Log in to your account via the CLI:
 
 ```bash
 arcade login
@@ -93,7 +93,7 @@ User (dev@arcade.dev):
 > star the ArcadeAI/arcade-ai repo on Github
 ```
 
-Arcade AI will prompt you to authorize with GitHub and will star the [ArcadeAI/arcade-ai](https://github.com/ArcadeAI/arcade-ai) repo on your behalf.
+Arcade will prompt you to authorize with GitHub and will star the [ArcadeAI/arcade-ai](https://github.com/ArcadeAI/arcade-ai) repo on your behalf.
 
 You'll see:
 
@@ -106,11 +106,11 @@ Press `Ctrl-C` to exit the chat.
 
 ## Arcade Cloud
 
-Arcade Cloud is a hosted version of the Arcade AI engine that hosts a number of prebuilt toolkits for interacting with a variety of services.
+Arcade Cloud is a hosted version of the Arcade engine that hosts a number of prebuilt toolkits for interacting with a variety of services.
 
 ### Prebuilt Toolkits
 
-Arcade AI offers a number of prebuilt toolkits that can be used by agents to interact with a variety of services.
+Arcade offers a number of prebuilt toolkits that can be used by agents to interact with a variety of services.
 
 <table>
   <thead>
@@ -300,13 +300,17 @@ The LLM API supports a variety of language models. Currently, the ones supported
 
 For more information, refer to the [supported models documentation](https://docs.arcade.dev/home/supported-models).
 
+### Get Started with Arcade
+
+To get started with Arcade, check out our [quickstart guide](https://docs.arcade.dev/home/quickstart).
+
 ### Building Your Own Tools
 
 Learn how to build your own tools by following our [creating a custom toolkit guide](https://docs.arcade.dev/home/build-tools/create-a-toolkit).
 
 ### Evaluating Tools
 
-Arcade AI enables you to evaluate your custom tools to ensure they function correctly with the AI assistant, including defining evaluation cases and using different critics.
+Arcade enables you to evaluate your custom tools to ensure they function correctly with the AI assistant, including defining evaluation cases and using different critics.
 
 Learn how to evaluate your tools by following our [evaluating tools guide](https://docs.arcade.dev/home/evaluate-tools/create-an-evaluation-suite).
 

arcade/README.md

@@ -1,13 +1,13 @@
-# Arcade AI Python SDK and CLI
+# Arcade Python SDK and CLI
 
-[Arcade AI](https://arcade-ai.com?ref=pypi) provides developer-focused tooling and APIs designed to improve the capabilities of LLM applications and agents.
+[Arcade](https://arcade.dev?ref=pypi) provides developer-focused tooling and APIs designed to improve the capabilities of LLM applications and agents.
 
-By removing the complexity of connecting agentic applications with your users' data and services, Arcade AI enables developers to focus on building their agentic applications.
+By removing the complexity of connecting agentic applications with your users' data and services, Arcade enables developers to focus on building their agentic applications.
 
 To learn more, check out our
-- [Website](https://arcade-ai.com?ref=pypi)
+- [Website](https://arcade.dev?ref=pypi)
 - [GitHub](https://github.com/ArcadeAI/arcade-ai)
-- [Documentation](https://docs.arcade-ai.com)
+- [Documentation](https://docs.arcade.dev)
 - [Discord](https://discord.com/invite/GUZEMpEZ9p)
 - [X](https://x.com/TryArcade)
 - [LinkedIn](https://www.linkedin.com/company/arcade-ai)

arcade/arcade/cli/display.py

@@ -227,7 +227,7 @@ def display_arcade_chat_header(base_url: str, stream: bool) -> None:
     chat_header = Text.assemble(
         "\n",
         (
-            "=== Arcade AI Chat ===",
+            "=== Arcade Chat ===",
             "bold magenta underline",
         ),
         "\n",

arcade/arcade/cli/launcher.py

@@ -169,7 +169,7 @@ def _get_config_file(
     )
     console.print(
         "TIP: Please install the Arcade Engine by following the instructions at:\n"
-        "     https://docs.arcade-ai.com/home/install/local#install-the-engine\n",
+        "     https://docs.arcade.dev/home/install/local#install-the-engine\n",
         style="bold green",
     )
 
@@ -229,7 +229,7 @@ def _build_engine_command(engine_config: str | None, engine_env: str | None = No
     if not engine_bin:
         console.print(
             "❌ Engine binary not found, refer to the installation guide at "
-            "https://docs.arcade-ai.com/guides/installation for how to install the engine",
+            "https://docs.arcade.dev/guides/installation for how to install the engine",
             style="bold red",
         )
         sys.exit(1)

arcade/arcade/cli/main.py

@@ -414,7 +414,7 @@ def evals(
     asyncio.run(run_evaluations())
 
 
-@cli.command(help="Launch Arcade AI locally for tool dev", rich_help_panel="Launch")
+@cli.command(help="Launch Arcade locally for tool dev", rich_help_panel="Launch")
 def dev(
     host: str = typer.Option("127.0.0.1", help="Host for the worker server.", show_default=True),
     port: int = typer.Option(

arcade/arcade/cli/serve.py

@@ -108,8 +108,8 @@ def serve_default_worker(
         worker_secret = worker_secret or "dev"
 
     app = fastapi.FastAPI(
-        title="Arcade AI Worker",
+        title="Arcade Worker",
-        description="Arcade AI default Worker implementation using FastAPI.",
+        description="Arcade default Worker implementation using FastAPI.",
         version="0.1.0",
         lifespan=lifespan,  # Use custom lifespan to catch errors, notably KeyboardInterrupt (Ctrl+C)
     )

arcade/arcade/core/config_model.py

@@ -85,7 +85,7 @@ class Config(BaseConfig):
         If no configuration file exists, this method will create a new one with default values.
         The default configuration includes:
         - An empty API configuration
-        - A default Engine configuration (host: "api.arcade-ai.com", port: None, tls: True)
+        - A default Engine configuration (host: "api.arcade.dev", port: None, tls: True)
         - No user configuration
 
         Returns:

arcade/arcade/templates/{{ toolkit_name }}/README.md

@@ -50,12 +50,12 @@
 1. Run `make test` from the root of the repository
 
 ## How to run evals:
-1. [Install the Arcade Engine Locally](https://docs.arcade-ai.com/home/install/local)
+1. [Install the Arcade Engine Locally](https://docs.arcade.dev/home/install/local)
 2. Install extra dependencies needed for evals:
    ```bash
    pip install 'arcade-ai[fastapi,evals]'
    ```
-3. Log into Arcade AI:
+3. Log into Arcade:
    ```bash
    arcade login
    ```

arcade/pyproject.toml

@@ -1,12 +1,12 @@
 [tool.poetry]
 name = "arcade-ai"
 version = "1.0.1"
-description = "Arcade AI Python SDK and CLI"
+description = "Arcade Python SDK and CLI"
 readme = "README.md"
 packages = [
     {include="arcade", from="."}
 ]
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [build-system]
 requires = ["poetry-core>=1.0.0"]

contrib/langchain/Makefile

@@ -56,7 +56,7 @@ build-and-publish: build publish ## Build and publish.
 
 .PHONY: help
 help:
-	@echo "🛠️ Arcade AI Dev Commands:\n"
+	@echo "🛠️ Arcade Dev Commands:\n"
 	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
 
 .DEFAULT_GOAL := help

contrib/langchain/README.md

@@ -25,7 +25,7 @@
 
 ## Overview
 
-`langchain-arcade` allows you to use Arcade AI tools in your LangChain and LangGraph applications.
+`langchain-arcade` allows you to use Arcade tools in your LangChain and LangGraph applications.
 
 ## Installation
 

contrib/langchain/pyproject.toml

@@ -2,7 +2,7 @@
 name = "langchain-arcade"
 version = "1.0.0"
 description = "An integration package connecting Arcade and LangChain/LangGraph"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 readme = "README.md"
 repository = "https://github.com/arcadeai/arcade-ai/tree/main/contrib/langchain"
 license = "MIT"

examples/call_a_tool_directly.py

@@ -16,12 +16,12 @@ def call_non_auth_tool(client: Arcade, user_id: str) -> None:
     This is a simple example of calling a non-auth tool. Next, try writing your own non-auth tool for your own use case.
     """
     # Prepare the inputs to the tool as a dictionary where keys are the names of the parameters expected by the tool and the values are the actual values to pass to the tool
-    inputs = {"a": 9001, "b": 42}
+    tool_input = {"a": 9001, "b": 42}
 
     # Execute the tool
     response = client.tools.execute(
         tool_name="Math.Add",
-        inputs=inputs,
+        input=tool_input,
         user_id=user_id,
     )
 
@@ -30,7 +30,7 @@ def call_non_auth_tool(client: Arcade, user_id: str) -> None:
 
 
 if __name__ == "__main__":
-    cloud_host = "https://api.arcade-ai.com"
+    cloud_host = "https://api.arcade.dev"
 
     client = Arcade(
         base_url=cloud_host,  # Alternatively, use http://localhost:9099 if you are running Arcade Engine locally, or any base_url if you're hosting elsewhere

examples/call_a_tool_directly_with_auth.py

@@ -29,12 +29,12 @@ def call_auth_tool(client: Arcade, user_id: str) -> None:
     client.auth.wait_for_completion(auth_response)
 
     # Prepare the inputs to the tool as a dictionary where keys are the names of the parameters expected by the tool and the values are the actual values to pass to the tool
-    inputs = {"n_emails": 5}
+    tool_input = {"n_emails": 5}
 
     # Execute the tool
     response = client.tools.execute(
         tool_name="Google.ListEmails",
-        inputs=inputs,
+        input=tool_input,
         user_id=user_id,
     )
 
@@ -44,7 +44,7 @@ def call_auth_tool(client: Arcade, user_id: str) -> None:
 
 if __name__ == "__main__":
     client = Arcade(
-        base_url="https://api.arcade-ai.com",  # Alternatively, use http://localhost:9099 if you are running Arcade Engine locally, or any base_url if you're hosting elsewhere
+        base_url="https://api.arcade.dev",  # Alternatively, use http://localhost:9099 if you are running Arcade Engine locally, or any base_url if you're hosting elsewhere
     )
 
     user_id = "you@example.com"

examples/call_a_tool_with_llm.py

@@ -12,7 +12,7 @@ def call_tool_with_openai(client: OpenAI) -> dict:
         messages=[
             {"role": "user", "content": "Star the ArcadeAI/arcade-ai repository."},
         ],
-        model="gpt-4o-mini",  # TODO: Try "claude-3-5-sonnet-20240620" or other models from our supported model providers. Checkout out our docs for a full list: https://docs.arcade-ai.com/integrations
+        model="gpt-4o-mini",  # TODO: Try "claude-3-5-sonnet-20240620" or other models from our supported model providers. Checkout out our docs for a full list https://docs.arcade.dev
         user="you@example.com",
         tools=["Github.SetStarred"],
         tool_choice="generate",  # TODO: Try "execute" and note any differences
@@ -25,7 +25,7 @@ if __name__ == "__main__":
     arcade_api_key = os.environ.get(
         "ARCADE_API_KEY"
     )  # If you forget your Arcade API key, it is stored at ~/.arcade/credentials.yaml on `arcade login`
-    cloud_host = "https://api.arcade-ai.com" + "/v1"
+    cloud_host = "https://api.arcade.dev" + "/v1"
 
     openai_client = OpenAI(
         api_key=arcade_api_key,

examples/call_multiple_tools_directly_with_auth.py

@@ -1,119 +0,0 @@
-"""Example script demonstrating how to call multiple tools directly with authentication.
-
-For this example, we are using the prebuilt Spotify toolkit to start playing similar songs to the currently playing song.
-
-Steps:
-1. Search for the song
-2. Start playing the song
-3. Get info about the currently playing song
-4. Inform the user which song is now playing
-"""
-
-from typing import Any, Optional
-
-from arcade_spotify.tools.models import SearchType
-from arcadepy import Arcade  # pip install arcade-py
-
-
-# Need to click on a link for every provider
-def get_permissions(client: Arcade, provider_to_scopes: dict, user_id: str) -> None:
-    """Prompt the user to authorize necessary permissions for each provider."""
-    for provider, scopes in provider_to_scopes.items():
-        auth_response = client.auth.start(
-            user_id=user_id,
-            provider=provider,
-            scopes=scopes,
-        )
-
-        if auth_response.status != "completed":
-            print(f"Click this link to authorize: {auth_response.authorization_url}")
-            input("After you have authorized, press Enter to continue...")
-
-
-def call_tool(client: Arcade, tool_name: str, user_id: str, inputs: Optional[dict] = None) -> Any:
-    """Call a single tool."""
-    if inputs is None:
-        inputs = {}
-
-    response = client.tools.execute(
-        tool_name=tool_name,
-        inputs=inputs,
-        user_id=user_id,
-    )
-
-    if response.output.error:
-        print(response.output.error)
-
-    return response.output.value
-
-
-def search_and_play_song(
-    client: Arcade,
-    provider_to_scopes: dict,
-    tools: list[str],
-    user_id: str,
-    song_name: str,
-    artist_name: str,
-) -> None:
-    """Execute the sequence of tools to get recommendations and start playback."""
-    get_permissions(client, provider_to_scopes, user_id)
-
-    (
-        search_tool,
-        start_playback_tool,
-        get_currently_playing_tool,
-    ) = tools
-
-    # Step 1: search for the song
-    response = call_tool(
-        client=client,
-        tool_name=search_tool,
-        user_id=user_id,
-        inputs={
-            "q": f"{song_name} {artist_name}",
-            "types": [SearchType.TRACK],
-        },
-    )
-
-    if not response["tracks"]["items"]:
-        print("Sorry, I couldn't find that song on Spotify.")
-        return
-
-    # Step 2: Start playing the song
-    track_id = response["tracks"]["items"][0]["id"]
-    response = call_tool(
-        client,
-        start_playback_tool,
-        user_id,
-        inputs={"track_ids": [track_id]},
-    )
-
-    # Step 3: get currently playing song
-    response = call_tool(client, get_currently_playing_tool, user_id)
-    print(
-        f"\nNow playing: {response['track_name']} by {', '.join(response['track_artists'])} - {response['track_spotify_url']}"
-    )
-
-
-if __name__ == "__main__":
-    client = Arcade(base_url="https://api.arcade-ai.com")
-
-    # Necessary scopes for the tools we are calling:
-    provider_to_scopes = {
-        "spotify": [
-            "user-read-currently-playing",
-            "user-read-playback-state",
-        ],
-    }
-
-    tools = [
-        "Spotify.Search",  # Search for a song
-        "Spotify.StartTracksPlaybackById",  # Start playing the song
-        "Spotify.GetCurrentlyPlaying",  # Get info about the current song
-    ]
-
-    user_id = "you@example.com"
-    song_name = input("Enter the song name: ")
-    artist_name = input("Enter the artist name: ")
-
-    search_and_play_song(client, provider_to_scopes, tools, user_id, song_name, artist_name)

examples/call_multiple_tools_with_llm.py

@@ -1,80 +0,0 @@
-"""
-Example script demonstrating how to call multiple tools (sequentially) using an LLM with authentication.
-
-For this example, we are using the prebuilt Spotify toolkit to search for a song, start playing it, and
-get info about the currently playing song.
-
-Steps:
-1. Search for the song
-2. Start playing the song
-3. Get info about the currently playing song
-4. Inform the user which song is now playing
-"""
-
-import os
-
-from openai import OpenAI
-
-
-def call_tool(client: OpenAI, user_id: str, tool: str, message: dict, history: list[dict]) -> str:
-    """Make a tool call with a specific tool and message."""
-    response = client.chat.completions.create(
-        messages=[
-            *history,
-            message,
-        ],
-        model="gpt-4o",
-        user=user_id,
-        tools=[tool],
-        tool_choice="generate",
-    )
-    return response
-
-
-def call_tools_with_llm(
-    client: OpenAI, user_id: str, song_name: str, artist_name: str
-) -> list[dict]:
-    """Use an LLM to execute the sequence of tools to search for a song and start playback."""
-    tools = [
-        "Spotify.Search",
-        "Spotify.StartTracksPlaybackById",
-        "Spotify.GetCurrentlyPlaying",
-    ]
-
-    messages = [
-        {"role": "user", "content": f"Search for '{song_name}' by {artist_name}' on Spotify."},
-        {"role": "user", "content": "Start playing the song. Just one tool call."},
-        {"role": "user", "content": "Get the currently playing song."},
-    ]
-
-    history = []
-    for i in range(len(messages)):
-        response = call_tool(client, user_id, tools[i], messages[i], history)
-        print("\n\n", response.choices[0].message.content)
-        if (
-            response.choices[0].tool_authorizations
-            and response.choices[0].tool_authorizations[0].get("status") == "pending"
-        ):
-            input("\nPress Enter once you have authorized...")
-            response = call_tool(client, user_id, tools[i], messages[i], history)
-        history.append(messages[i])
-        history.append({"role": "assistant", "content": response.choices[0].message.content})
-
-    return history
-
-
-if __name__ == "__main__":
-    arcade_api_key = os.environ.get("ARCADE_API_KEY")
-    cloud_host = "https://api.arcade-ai.com/v1"
-
-    openai_client = OpenAI(
-        api_key=arcade_api_key,
-        base_url=cloud_host,
-    )
-
-    user_id = "you@example.com"
-    song_name = input("Enter the song name: ")
-    artist_name = input("Enter the artist name: ")
-
-    history = call_tools_with_llm(openai_client, user_id, song_name, artist_name)
-    print("\n\n", history)

examples/get_auth_token.py

@@ -22,7 +22,7 @@ def get_auth_token(client: Arcade, user_id: str) -> str:
     )
 
     if auth_response.status != "completed":
-        print(f"Click this link to authorize: {auth_response.authorization_url}")
+        print(f"Click this link to authorize: {auth_response.url}")
         auth_response = client.auth.wait_for_completion(auth_response)
 
     return auth_response.context.token
@@ -46,7 +46,7 @@ def use_auth_token(token: str) -> None:
 
 
 if __name__ == "__main__":
-    cloud_host = "https://api.arcade-ai.com"
+    cloud_host = "https://api.arcade.dev"
 
     client = Arcade(
         base_url=cloud_host,  # Alternatively, use http://localhost:9099 if you are running Arcade locally, or any base_url if you're hosting elsewhere

examples/langchain/studio/README.md

@@ -2,7 +2,7 @@
 
 ### API keys
 
-Follow [these instructions](https://docs.arcade.dev/home/custom-tools/) to Install Arcade AI and create an API key.
+Follow [these instructions](https://docs.arcade.dev/home/custom-tools/) to Install Arcade and create an API key.
 
 This example is using OpenAI, as the LLM provider. Ensure you have an [OpenAI API key](https://platform.openai.com/docs/quickstart).
 

examples/simple_chatbot.py

@@ -1,5 +1,5 @@
 """
-Example script demonstrating how to build a simple chatbot with Arcade AI.
+Example script demonstrating how to build a simple chatbot with Arcade.
 
 For this example, we are using the prebuilt Google Docs toolkit to create and edit documents.
 
@@ -55,20 +55,22 @@ if __name__ == "__main__":
     arcade_api_key = os.environ.get(
         "ARCADE_API_KEY"
     )  # If you forget your Arcade API key, it is stored at ~/.arcade/credentials.yaml on `arcade login`
-    local_host = "http://localhost:9099/v1"
+    cloud_host = "https://api.arcade.dev/v1"
     user_id = "user@example.com"
 
     openai_client = OpenAI(
         api_key=arcade_api_key,
-        base_url=local_host,
+        base_url=cloud_host,
     )
 
     tool_names = [
-        "Google.GetDocumentById",
+        "Google.SendEmail",
-        "Google.InsertTextAtEndOfDocument",
+        "Google.SendDraftEmail",
-        "Google.CreateBlankDocument",
+        "Google.WriteDraftEmail",
-        "Google.CreateDocumentFromText",
+        "Google.UpdateDraftEmail",
-        "Google.ListDocuments",
+        "Google.ListDraftEmails",
+        "Google.ListEmailsByHeader",
+        "Google.ListEmails",
     ]
 
     chat(openai_client, tool_names, user_id)

toolkits/code_sandbox/pyproject.toml

@@ -2,7 +2,7 @@
 name = "arcade_code_sandbox"
 version = "0.1.9"
 description = "LLM tools for running code in a sandbox"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [tool.poetry.dependencies]
 python = "^3.10"

toolkits/github/pyproject.toml

@@ -2,7 +2,7 @@
 name = "arcade_github"
 version = "0.1.9"
 description = "LLM tools for interacting with Github"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [tool.poetry.dependencies]
 python = "^3.10"

toolkits/google/pyproject.toml

@@ -2,7 +2,7 @@
 name = "arcade_google"
 version = "0.2.0"
 description = "Arcade tools for the entire google suite"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [tool.poetry.dependencies]
 python = "^3.10"

toolkits/linkedin/pyproject.toml

@@ -2,7 +2,7 @@
 name = "arcade_linkedin"
 version = "0.1.10"
 description = "Arcade tools for LinkedIn"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [tool.poetry.dependencies]
 python = "^3.10"

toolkits/math/pyproject.toml

@@ -2,7 +2,7 @@
 name = "arcade_math"
 version = "0.1.9"
 description = "Math toolkit for Arcade"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [tool.poetry.dependencies]
 python = "^3.10"

toolkits/search/pyproject.toml

@@ -2,7 +2,7 @@
 name = "arcade_search"
 version = "0.1.10"
 description = "Tools for searching the web"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [tool.poetry.dependencies]
 python = "^3.10"

toolkits/slack/pyproject.toml

@@ -2,7 +2,7 @@
 name = "arcade_slack"
 version = "0.2.0"
 description = "Slack tools for LLMs"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [tool.poetry.dependencies]
 python = "^3.10"

toolkits/spotify/pyproject.toml

@@ -2,7 +2,7 @@
 name = "arcade_spotify"
 version = "0.2.1"
 description = "Arcade tools for Spotify"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [tool.poetry.dependencies]
 python = "^3.10"

toolkits/web/pyproject.toml

@@ -2,7 +2,7 @@
 name = "arcade_web"
 version = "0.1.9"
 description = "LLM tools for web-related tasks"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [tool.poetry.dependencies]
 python = "^3.10"

toolkits/x/pyproject.toml

@@ -2,7 +2,7 @@
 name = "arcade_x"
 version = "0.1.11"
 description = "LLM tools for interacting with X (Twitter)"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [tool.poetry.dependencies]
 python = "^3.10"

toolkits/zoom/pyproject.toml

@@ -2,7 +2,7 @@
 name = "arcade_zoom"
 version = "0.1.10"
 description = "Arcade tools for Zoom"
-authors = ["Arcade AI <dev@arcade-ai.com>"]
+authors = ["Arcade <dev@arcade.dev>"]
 
 [tool.poetry.dependencies]
 python = "^3.10"