894fa878f1
On the last few PRs I have noticed two problems: 1. `ruff format` fails even though it seems OK on our local machines (sometimes, not always) 2. Nate's and Sam's machines kept flip-flopping a specific piece of formatting back and forth, indicating a subtle difference of config hiding somewhere 3. This was reproducible by running `ruff format` in the terminal, followed by `make check`. The former would edit files, and then `make check` would edit them back! This PR addresses both issues, and further standardizes our editor & linter configs to be super stable. Specifically: 1. The main fix for the above, the pre-commit hook was pinned to a super old version of ruff. This resulted in subtle differences in behavior between our machines, and on CI. 2. Moved ruff settings from `pyproject.toml` to `.ruff.toml` pyproject files in subdirectories (e.g. `toolkits/**`) were overriding the main pyproject file and erasing the custom ruff config we set at the root. This meant that our ruff config was applied to `arcade` but not to any of the other packages. By moving the config to `.ruff.toml` at the root, all projects will inherit the same ruff linting & formatting config. 4. Un-ignored the `.vscode/` directory so that we can share vscode/cursor workspace settings. This is valuable for standardizing settings like the default formatter (ruff) and default test framework (pytest). However, it's important that going forward we _only_ commit things here that should apply across all of our machines. 5. To avoid any conflict between prettier and ruff, prettier now explicitly ignores *.py files 6. Finally, `ruff format` and `make check` agree. A number of files are newly auto-formatted. |
||
|---|---|---|
| .github | ||
| .vscode | ||
| arcade | ||
| docker | ||
| examples | ||
| schemas/preview | ||
| toolkits | ||
| .editorconfig | ||
| .gitignore | ||
| .pre-commit-config.yaml | ||
| .prettierignore | ||
| .prettierrc.toml | ||
| .ruff.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/search
poetry install
arcade show arcade_search
This will show an output that looks like
┏━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━┳━━━━━━━━━┓ ┃ Name ┃ Description ┃ Toolkit ┃ Version ┃ ┡━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━╇━━━━━━━━━┩ │ SearchGoogle │ Search Google using SerpAPI and return organic search results. │ search │ 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_search "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_search "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.