arcade-mcp/libs/arcade-cli/arcade_cli/utils.py
Sam Partee 27a6cd31a3
Support Tool Output in ValueSchema of ToolDefinition (#487)
## 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>
2025-07-24 15:32:35 -07:00

814 lines
25 KiB
Python

import importlib.util
import ipaddress
import os
import shlex
import webbrowser
from dataclasses import dataclass
from datetime import datetime
from enum import Enum
from importlib import metadata
from pathlib import Path
from textwrap import dedent
from typing import Any, Callable, Union, cast
from urllib.parse import urlencode, urlparse
import idna
import typer
from arcade_core import ToolCatalog, Toolkit
from arcade_core.config_model import Config
from arcade_core.errors import ToolkitLoadError
from arcade_core.schema import ToolDefinition
from arcadepy import (
NOT_GIVEN,
APIConnectionError,
APIStatusError,
APITimeoutError,
Arcade,
)
from arcadepy.types import AuthorizationResponse
from openai import OpenAI, Stream
from openai.types.chat.chat_completion import Choice as ChatCompletionChoice
from openai.types.chat.chat_completion_chunk import ChatCompletionChunk
from openai.types.chat.chat_completion_chunk import (
Choice as ChatCompletionChunkChoice,
)
from pydantic import ValidationError
from rich.console import Console
from rich.live import Live
from rich.markdown import Markdown
from rich.text import Text
from typer.core import TyperGroup
from typer.models import Context
from arcade_cli.constants import LOCAL_AUTH_CALLBACK_PORT, LOCALHOST
console = Console()
# -----------------------------------------------------------------------------
# Shared helpers for the CLI
# -----------------------------------------------------------------------------
class OrderCommands(TyperGroup):
def list_commands(self, ctx: Context) -> list[str]: # type: ignore[override]
"""Return list of commands in the order appear."""
return list(self.commands) # get commands using self.commands
class ChatCommand(str, Enum):
HELP = "/help"
HELP_ALT = "/?"
CLEAR = "/clear"
HISTORY = "/history"
SHOW = "/show"
EXIT = "/exit"
def create_cli_catalog(
toolkit: str | None = None,
show_toolkits: bool = False,
) -> ToolCatalog:
"""
Load toolkits from the python environment.
"""
if toolkit:
toolkit = toolkit.lower().replace("-", "_")
try:
prefixed_toolkit = "arcade_" + toolkit
toolkits = [Toolkit.from_package(prefixed_toolkit)]
except ToolkitLoadError:
try: # try without prefix
toolkits = [Toolkit.from_package(toolkit)]
except ToolkitLoadError as e:
console.print(f"{e}", style="bold red")
typer.Exit(code=1)
else:
toolkits = Toolkit.find_all_arcade_toolkits()
if not toolkits:
console.print("❌ No toolkits found or specified", style="bold red")
typer.Exit(code=1)
catalog = ToolCatalog()
for loaded_toolkit in toolkits:
if show_toolkits:
console.print(f"Loading toolkit: {loaded_toolkit.name}", style="bold blue")
catalog.add_toolkit(loaded_toolkit)
return catalog
def compute_base_url(
force_tls: bool,
force_no_tls: bool,
host: str,
port: int | None,
) -> str:
"""
Compute the base URL for the Arcade Engine from the provided overrides.
Treats 127.0.0.1 and 0.0.0.0 as aliases for localhost.
force_no_tls takes precedence over force_tls. For example, if both are set to True,
the resulting URL will use http.
The port is included in the URL unless the host is a fully qualified domain name
(excluding IP addresses) and no port is specified. Handles IPv4, IPv6, IDNs, and
hostnames with underscores.
This property exists to provide a consistent and correctly formatted URL for
connecting to the Arcade Engine, taking into account various configuration
options and edge cases. It ensures that:
1. The correct protocol (http/https) is used based on the TLS setting.
2. IPv4 and IPv6 addresses are properly formatted.
3. Internationalized Domain Names (IDNs) are correctly encoded.
4. Fully Qualified Domain Names (FQDNs) are identified and handled appropriately.
5. Ports are included when necessary, respecting common conventions for FQDNs.
6. Hostnames with underscores (common in development environments) are supported.
7. Pre-existing port specifications in the host are respected.
The resulting URL is always suffixed with api_version to specify the API version.
Returns:
str: The fully constructed URL for the Arcade Engine.
"""
# "Use 127.0.0.1" and "0.0.0.0" as aliases for "localhost"
host = LOCALHOST if host in ["127.0.0.1", "0.0.0.0"] else host # noqa: S104
# Determine TLS setting based on input flags
if force_no_tls:
is_tls = False
elif force_tls:
is_tls = True
else:
is_tls = host != LOCALHOST
# "localhost" defaults to dev port if not specified
if host == LOCALHOST and port is None:
port = 9099
protocol = "https" if is_tls else "http"
# Handle potential IDNs
try:
encoded_host = idna.encode(host).decode("ascii")
except idna.IDNAError:
encoded_host = host
# Check if the host is a valid IP address (IPv4 or IPv6)
try:
ipaddress.ip_address(encoded_host)
is_ip = True
except ValueError:
is_ip = False
# Parse the host, handling potential IPv6 addresses
host_for_parsing = f"[{encoded_host}]" if is_ip and ":" in encoded_host else encoded_host
parsed_host = urlparse(f"//{host_for_parsing}")
# Check if the host is a fully qualified domain name (excluding IP addresses)
is_fqdn = "." in parsed_host.netloc and not is_ip and "_" not in parsed_host.netloc
# Handle hosts that might already include a port
if ":" in parsed_host.netloc and not is_ip:
host, existing_port = parsed_host.netloc.rsplit(":", 1)
if existing_port.isdigit():
return f"{protocol}://{parsed_host.netloc}"
if is_fqdn and port is None:
return f"{protocol}://{encoded_host}"
elif port is not None:
return f"{protocol}://{encoded_host}:{port}"
else:
return f"{protocol}://{encoded_host}"
def compute_login_url(
host: str, state: str, port: int | None, callback_host: str | None = None
) -> str:
"""
Compute the full URL for the CLI login endpoint.
"""
if callback_host:
if not (callback_host.startswith("http://") or callback_host.startswith("https://")):
callback_uri = f"http://{callback_host}"
else:
callback_uri = callback_host
if not callback_uri.rstrip("/").endswith("/callback"):
if port:
callback_uri = callback_uri.rstrip("/") + f":{port}" + "/callback"
else:
callback_uri = callback_uri.rstrip("/") + "/callback"
else:
callback_uri = f"http://{LOCALHOST}:{LOCAL_AUTH_CALLBACK_PORT}/callback"
params = urlencode({"callback_uri": callback_uri, "state": state})
port = port if port else 8000
login_base_url = (
f"http://{LOCALHOST}:{port}"
if host in [LOCALHOST, "127.0.0.1", "0.0.0.0"] # noqa: S104
else f"https://{host}"
)
endpoint = "/api/v1/auth/cli_login"
return f"{login_base_url}{endpoint}?{params}"
def get_tools_from_engine(
host: str,
port: int | None = None,
force_tls: bool = False,
force_no_tls: bool = False,
toolkit: str | None = None,
) -> list[ToolDefinition]:
config = validate_and_get_config()
base_url = compute_base_url(force_tls, force_no_tls, host, port)
client = Arcade(api_key=config.api.key, base_url=base_url)
tools = []
try:
page_iterator = client.tools.list(toolkit=toolkit or NOT_GIVEN)
for tool in page_iterator:
try:
tools.append(ToolDefinition.model_validate(tool.model_dump()))
except ValidationError:
# Skip listing tools that aren't valid ToolDefinitions
continue
except APIConnectionError:
console.print(
f"❌ Can't connect to Arcade Engine at {base_url}. (Is it running?)",
style="bold red",
)
return tools
def get_tool_messages(choice: dict) -> list[dict]:
if hasattr(choice, "tool_messages") and choice.tool_messages:
return choice.tool_messages # type: ignore[no-any-return]
return []
@dataclass
class StreamingResult:
role: str
full_message: str
tool_messages: list
tool_authorization: dict | None
def handle_streaming_content(stream: Stream[ChatCompletionChunk], model: str) -> StreamingResult:
"""
Display the streamed markdown chunks as a single line.
"""
from rich.live import Live
full_message = ""
tool_messages = []
tool_authorization = None
role = ""
printed_role: bool = False
with Live(console=console, refresh_per_second=10) as live:
for chunk in stream:
choice = chunk.choices[0]
role = choice.delta.role or role
# Display and get tool messages if they exist
tool_messages += get_tool_messages(choice) # type: ignore[arg-type]
tool_authorization = get_tool_authorization(choice)
chunk_message = choice.delta.content
if role == "assistant" and tool_authorization:
continue # Skip the message if it's an auth request (handled later in handle_tool_authorization)
if role == "assistant" and not printed_role:
console.print(f"\n[blue][bold]Assistant[/bold] ({model}):[/blue] ")
printed_role = True
if chunk_message:
full_message += chunk_message
markdown_chunk = Markdown(full_message)
live.update(markdown_chunk)
# Markdownify URLs in the final message if applicable
if role == "assistant":
full_message = markdownify_urls(full_message)
live.update(Markdown(full_message))
return StreamingResult(role, full_message, tool_messages, tool_authorization)
def markdownify_urls(message: str) -> str:
"""
Convert URLs in the message to markdown links.
"""
import re
# This regex will match URLs that are not already formatted as markdown links:
# [Link text](https://example.com)
url_pattern = r"(?<!\]\()https?://\S+"
# Wrap all URLs in the message with markdown links
return re.sub(url_pattern, r"[Link](\g<0>)", message)
def validate_and_get_config(
validate_api: bool = True,
validate_user: bool = True,
) -> Config:
"""
Validates the configuration, user, and returns the Config object
"""
from arcade_core.config import config
if validate_api and (not config.api or not config.api.key):
console.print(
"❌ API configuration not found or key is missing. Please run `arcade login`.",
style="bold red",
)
raise typer.Exit(code=1)
if validate_user and (not config.user or not config.user.email):
console.print(
"❌ User email not found in configuration. Please run `arcade login`.",
style="bold red",
)
raise typer.Exit(code=1)
return config
def log_engine_health(client: Arcade) -> None:
try:
result = client.health.check(timeout=2)
if result.healthy:
return
console.print(
"⚠️ Warning: Arcade Engine is unhealthy",
style="bold yellow",
)
except APIConnectionError:
console.print(
"⚠️ Warning: Arcade Engine was unreachable. (Is it running?)",
style="bold yellow",
)
except APIStatusError as e:
console.print(
"[bold][yellow]⚠️ Warning: "
+ str(e)
+ " ("
+ "[/yellow]"
+ "[red]"
+ str(e.status_code)
+ "[/red]"
+ "[yellow])[/yellow][/bold]"
)
@dataclass
class ChatInteractionResult:
history: list[dict]
tool_messages: list[dict]
tool_authorization: dict | None
def handle_chat_interaction(
client: OpenAI,
model: str,
history: list[dict],
user_email: str | None,
stream: bool = False,
) -> ChatInteractionResult:
"""
Handle a single chat-request/chat-response interaction for both streamed and non-streamed responses.
Handling the chat response includes:
- Streaming the response if the stream flag is set
- Displaying the response in the console
- Getting the tool messages and tool authorization from the response
- Updating the history with the response, tool calls, and tool responses
"""
if stream:
# TODO Fix this in the client so users don't deal with these
# typing issues
response = client.chat.completions.create( # type: ignore[call-overload]
model=model,
messages=history,
tool_choice="generate",
user=user_email,
stream=True,
)
streaming_result = handle_streaming_content(response, model)
role, message_content = streaming_result.role, streaming_result.full_message
tool_messages, tool_authorization = (
streaming_result.tool_messages,
streaming_result.tool_authorization,
)
else:
response = client.chat.completions.create( # type: ignore[call-overload]
model=model,
messages=history,
tool_choice="generate",
user=user_email,
stream=False,
)
message_content = response.choices[0].message.content or ""
# Get extra fields from the response
tool_messages = get_tool_messages(response.choices[0])
tool_authorization = get_tool_authorization(response.choices[0])
role = response.choices[0].message.role
if role == "assistant" and tool_authorization:
pass # Skip the message if it's an auth request (handled later in handle_tool_authorization)
elif role == "assistant":
message_content = markdownify_urls(message_content)
console.print(
f"\n[blue][bold]Assistant[/bold] ({model}):[/blue] ",
Markdown(message_content),
)
else:
console.print(f"\n[bold]{role}:[/bold] {message_content}")
history += tool_messages
history.append({"role": role, "content": message_content})
return ChatInteractionResult(history, tool_messages, tool_authorization)
def handle_tool_authorization(
arcade_client: Arcade,
tool_authorization: AuthorizationResponse,
history: list[dict[str, Any]],
openai_client: OpenAI,
model: str,
user_email: str | None,
stream: bool,
) -> ChatInteractionResult:
with Live(console=console, refresh_per_second=4) as live:
if tool_authorization.url:
authorization_url = str(tool_authorization.url)
webbrowser.open(authorization_url)
message = (
"You'll need to authorize this action in your browser.\n\n"
f"If a browser doesn't open automatically, click [this link]({authorization_url}) "
f"or copy this URL and paste it into your browser:\n\n{authorization_url}"
)
live.update(Markdown(message, style="dim"))
wait_for_authorization_completion(arcade_client, tool_authorization)
message = "Thanks for authorizing the action! Sending your request..."
live.update(Text(message, style="dim"))
history.pop()
return handle_chat_interaction(openai_client, model, history, user_email, stream)
def wait_for_authorization_completion(
client: Arcade, tool_authorization: AuthorizationResponse | None
) -> None:
"""
Wait for the authorization for a tool call to complete i.e., wait for the user to click on
the approval link and authorize Arcade.
"""
if tool_authorization is None:
return
auth_response = AuthorizationResponse.model_validate(tool_authorization)
while auth_response.status != "completed":
try:
auth_response = client.auth.status(
id=cast(str, auth_response.id),
wait=59,
)
except APITimeoutError:
continue
def get_tool_authorization(
choice: Union[ChatCompletionChoice, ChatCompletionChunkChoice],
) -> dict | None:
"""
Get the tool authorization from a chat response's choice.
"""
if hasattr(choice, "tool_authorizations") and choice.tool_authorizations:
return choice.tool_authorizations[0] # type: ignore[no-any-return]
return None
def is_authorization_pending(tool_authorization: dict | None) -> bool:
"""
Check if the authorization for a tool call is pending.
Expects a chat response's choice.tool_authorizations as input.
"""
is_auth_pending = (
tool_authorization is not None and tool_authorization.get("status", "") == "pending"
)
return is_auth_pending
def get_eval_files(directory: str) -> list[Path]:
"""
Get a list of evaluation files starting with 'eval_' and ending with '.py' in the given directory.
Args:
directory: The directory to search for evaluation files.
Returns:
A list of Paths to the evaluation files. Returns an empty list if no files are found.
"""
directory_path = Path(directory).resolve()
if directory_path.is_dir():
eval_files = [f for f in directory_path.rglob("eval_*.py") if f.is_file()]
elif directory_path.is_file():
eval_files = (
[directory_path]
if directory_path.name.startswith("eval_") and directory_path.name.endswith(".py")
else []
)
else:
console.print(f"Path not found: {directory_path}", style="bold red")
return []
if not eval_files:
console.print(
"No evaluation files found. Filenames must start with 'eval_' and end with '.py'.",
style="bold yellow",
)
return []
return eval_files
def load_eval_suites(eval_files: list[Path]) -> list[Callable]:
"""
Load evaluation suites from the given eval_files by importing the modules
and extracting functions decorated with `@tool_eval`.
Args:
eval_files: A list of Paths to evaluation files.
Returns:
A list of callable evaluation suite functions.
"""
eval_suites = []
for eval_file_path in eval_files:
module_name = eval_file_path.stem # filename without extension
# Now we need to load the module from eval_file_path
file_path_str = str(eval_file_path)
module_name_str = module_name
# Load using importlib
spec = importlib.util.spec_from_file_location(module_name_str, file_path_str)
if spec is None:
console.print(f"Failed to load {eval_file_path}", style="bold red")
continue
module = importlib.util.module_from_spec(spec)
if spec.loader is not None:
spec.loader.exec_module(module)
else:
console.print(f"Failed to load module: {module_name}", style="bold red")
continue
eval_suite_funcs = [
obj
for name, obj in module.__dict__.items()
if callable(obj) and hasattr(obj, "__tool_eval__")
]
if not eval_suite_funcs:
console.print(
f"No @tool_eval functions found in {eval_file_path}",
style="bold yellow",
)
continue
eval_suites.extend(eval_suite_funcs)
return eval_suites
def get_user_input() -> str:
"""
Get input from the user, handling multi-line input.
"""
MULTI_LINE_PROMPT = '"""'
user_input = input()
# Handle multi-line input
if user_input.startswith(MULTI_LINE_PROMPT):
user_input = user_input[len(MULTI_LINE_PROMPT) :]
while not user_input.endswith(MULTI_LINE_PROMPT):
line = input()
if not line:
print()
user_input += "\n" + line
user_input = user_input.rstrip(MULTI_LINE_PROMPT)
else:
# Handle single-line input
while not user_input.strip():
user_input = input()
return user_input.strip()
def display_chat_help() -> None:
"""Display the help message for arcade chat."""
help_message = dedent(f"""\
[default]
Available Commands:
{ChatCommand.SHOW.value:<13} Show all available tools
{ChatCommand.HISTORY.value:<13} Show the chat history
{ChatCommand.CLEAR.value:<13} Clear the chat history
{ChatCommand.EXIT.value:<13} Exit the chat
{ChatCommand.HELP_ALT.value}, {ChatCommand.HELP.value:<9} Help for a command
Surround in \"\"\" for multi-line messages[/default]
""")
console.print(help_message)
def handle_user_command(
user_input: str,
history: list,
host: str,
port: int | None,
force_tls: bool,
force_no_tls: bool,
show: Callable,
) -> bool:
"""
Handle user commands during `arcade chat` and return True if a command was processed, otherwise False.
"""
if user_input in [ChatCommand.HELP, ChatCommand.HELP_ALT]:
display_chat_help()
return True
elif user_input == ChatCommand.EXIT:
raise KeyboardInterrupt
elif user_input == ChatCommand.HISTORY:
console.print(history)
return True
elif user_input == ChatCommand.CLEAR:
console.print("Chat history cleared.", style="bold green")
history.clear()
return True
elif user_input == ChatCommand.SHOW:
show(
toolkit=None,
tool=None,
host=host,
local=False,
port=port,
force_tls=force_tls,
force_no_tls=force_no_tls,
debug=False,
worker=False,
)
return True
return False
def parse_user_command(user_input: str) -> ChatCommand | None:
"""
Parse the user command and return the corresponding ChatCommand enum.
Returns None if the input is not a valid chat command.
"""
try:
return ChatCommand(user_input)
except ValueError:
return None
def version_callback(value: bool) -> None:
"""Callback implementation for the `arcade --version`.
Prints the version of Arcade and exit.
"""
if value:
version = metadata.version("arcade-ai")
console.print(f"[bold]Arcade CLI[/bold] (version {version})")
exit()
def get_today_context() -> str:
today = datetime.now().strftime("%Y-%m-%d")
day_of_week = datetime.now().strftime("%A")
return f"Today is {today}, {day_of_week}."
def discover_toolkits() -> list[Toolkit]:
"""Return all Arcade toolkits installed in the active Python environment.
Raises:
RuntimeError: If no toolkits are found, mirroring the behaviour of Toolkit discovery elsewhere.
"""
toolkits = Toolkit.find_all_arcade_toolkits()
if not toolkits:
raise RuntimeError("No toolkits found in Python environment.")
return toolkits
def build_tool_catalog(toolkits: list[Toolkit]) -> ToolCatalog:
"""Construct a ``ToolCatalog`` populated with *toolkits*.
Args:
toolkits: Toolkits to register in the catalog.
Returns:
ToolCatalog
"""
catalog = ToolCatalog()
for tk in toolkits:
catalog.add_toolkit(tk)
return catalog
def _parse_line(line: str) -> tuple[str, str] | None:
"""
Return (key, value) if the line looks like KEY=VALUE, else None.
Handles quotes and escaped chars via shlex.
"""
if not line or line.startswith("#") or "=" not in line:
return None
key, raw_val = line.split("=", 1)
key = key.strip()
raw_val = raw_val.strip()
# Use shlex to handle "quoted strings with # hash" etc.
try:
value = shlex.split(raw_val)[0] if raw_val else ""
except ValueError:
# Fallback: naked value without shlex parsing
value = raw_val
return key, value
def load_dotenv(path: str | Path, *, override: bool = False) -> dict[str, str]:
"""
Load variables from *path* into os.environ.
Args:
path: .env file path
override: replace existing env vars if True
Returns:
The mapping of vars that were added/updated.
"""
path = Path(path).expanduser()
if not path.is_file():
return {}
loaded: dict[str, str] = {}
for raw in path.read_text().splitlines():
parsed = _parse_line(raw.strip())
if parsed is None:
continue
k, v = parsed
if override or k not in os.environ:
os.environ[k] = v
loaded[k] = v
return loaded
def require_dependency(
package_name: str,
command_name: str,
install_command: str,
) -> None:
"""
Display a helpful error message if the required dependency is missing.
Args:
package_name: The name of the package to import (e.g., 'arcade_serve')
command_name: The command that requires the package (e.g., 'serve')
install_command: The command to install the package (e.g., "pip install 'arcade-ai[evals]'")
"""
try:
importlib.import_module(package_name.replace("-", "_"))
except ImportError:
console.print(
f"❌ The '{package_name}' package is required to run the '{command_name}' command but is not installed.",
style="bold red",
)
console.print(
f"To install it, run the following command:\n* [green]{install_command}[/green]",
style="bold",
)
raise typer.Exit(code=1)