# PR Description ## Summary Changes include renaming the `arcade_gmail` toolkit to `arcade_google`, adding unit tests for Google toolkit, add new tools to the Google toolkit. ## Changes ### Makefile - Added a new `make test-toolkits` target to iterate over all toolkits and run pytest on each one. ### Added new tools for the google toolkit 1. `send_email` This tool sends an email using the Gmail API. 2. `write_draft_email` This tool creates a draft email using the Gmail API. 3. `update_draft_email` This tool updates an existing draft email using the Gmail API. 4. `send_draft_email` This tool sends a draft email using the Gmail API. 5. `delete_draft_email` This tool deletes a draft email using the Gmail API. 6. `list_draft_emails` This tool retrieves a list of draft emails using the Gmail API. 7. `list_emails_by_header` This tool searches for emails by a specific header using the Gmail API. - `sender`: The sender's email address to search for. - `limit`: The maximum number of emails to retrieve. 8. `list_emails` This tool retrieves a list of emails using the Gmail API. 9. `trash_email` This tool moves an email to the trash using the Gmail API. |
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| .github | ||
| .vscode | ||
| arcade | ||
| docker | ||
| examples | ||
| schemas/preview | ||
| toolkits | ||
| .editorconfig | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| .prettierrc.toml | ||
| CONTRIBUTING.md | ||
| cspell.config.yaml | ||
| LICENSE | ||
| Makefile | ||
| README.md | ||
Arcade AI
Arcade AI is the developer platform for building tools designed to be used with language models. With Arcade, developers can create, deploy, and easily integrate new tools with language models to enhance their capabilities.
arcade-ai
The arcade-ai package contains:
arcadeCLIarcade.sdkTool SDKarcade.actorserving tools with FastAPI, Flask, or Django
Installation
To install the Arcade AI package, execute the following command:
pip install arcade-ai
or install from source:
git clone https://github.com/arcadeai/arcade-ai.git
cd arcade-ai
pip install poetry
poetry install
First steps
Follow these steps if you've cloned the repo and installed the package from source:
cd examples/websearch
poetry install
arcade show arcade_websearch
This will show an output that looks like
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┓ ┃ Name ┃ Description ┃ Toolkit ┃ Version ┃ ┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━┩ │ SearchGoogle │ Search Google using SerpAPI and return organic search results. │ websearch │ 0.1.0 │ └──────────────┴────────────────────────────────────────────────────────────────┴───────────┴─────────┘
Predict the parameters with a model and run the tool with the predicted parameters. Arcade adds the execute choice to the tool, which allows you to run the tool with the predicted parameters in a single request.
> arcade run arcade_websearch "who is Sam Partee?" --choice "execute"
Running tool: SearchGoogle with params: {'query': 'Sam Partee'}
[{"position": 1, "title": "Sam Partee (@SamPartee) / X", "link": "https://twitter.com/sampartee", "redirect_link":
"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://twitter.com/sampartee&ved=2ahUKEwjBwKiz3b6HAxV1VTABHXL8BZQQFnoECAYQAQ",
"displayed_link": "1.5K+ followers", "thumbnail":
.....
.. (truncated)
Arcade also adds the predict choice to the tool, which allows you to predict the parameters with a model.
> arcade run arcade_websearch "who is Sam Partee?" --choice "predict" # also the default
Running tool: SearchGoogle with params: {'query': 'Sam Partee'}
Sam Partee is a CTO, Co-founder of Arcade AI and former Machine Learning Engineer at companies like RedisInc and HPE_Cray. They have
expertise in AI/ML, vector search, Python, HPC, and are a sports fan.