ce2fb0f6c1
# 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`
45 lines
1.7 KiB
Python
45 lines
1.7 KiB
Python
"""
|
|
This example shows how to call a tool that requires authorization with an LLM using the OpenAI Python client.
|
|
"""
|
|
|
|
import os
|
|
|
|
from openai import OpenAI
|
|
|
|
|
|
def call_tool_with_openai(client: OpenAI) -> dict:
|
|
response = client.chat.completions.create(
|
|
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.dev
|
|
user="you@example.com",
|
|
tools=["Github.SetStarred"],
|
|
tool_choice="generate", # TODO: Try "execute" and note any differences
|
|
)
|
|
|
|
return response
|
|
|
|
|
|
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.dev" + "/v1"
|
|
|
|
openai_client = OpenAI(
|
|
api_key=arcade_api_key,
|
|
base_url=cloud_host, # Alternatively, use http://localhost:9099/v1 if you are running Arcade Engine locally
|
|
)
|
|
|
|
chat_result = call_tool_with_openai(openai_client)
|
|
# If the tool call requires authorization, then wait for the user to authorize and then call the tool again
|
|
if (
|
|
chat_result.choices[0].tool_authorizations
|
|
and chat_result.choices[0].tool_authorizations[0].get("status") == "pending"
|
|
):
|
|
print(chat_result.choices[0].message.content)
|
|
input("After you have authorized, press Enter to continue...")
|
|
chat_result = call_tool_with_openai(openai_client)
|
|
|
|
print(chat_result.choices[0].message.content)
|