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# Address Alpha Release Tweaks and Bugs This PR addresses several issues and tweaks identified during the alpha release: - **Ensure `~/.arcade` directory exists before writing the config file** In `arcade/cli/authn.py`, added code to create the `~/.arcade` directory if it doesn't exist. This prevents errors when writing the configuration file during the login process. - **Fix retry logic in process management** In `arcade/cli/launcher.py`, corrected an off-by-one error in the retry logic within the `_manage_processes` function. This ensures that the process management behaves as expected when retries are exhausted. - **Allow passing environment variables to the engine process** (technically this option isn't exposed yet) Updated the `start_servers`, `_manage_processes`, and `_start_process` functions in `arcade/cli/launcher.py` to accept an `engine_env` parameter. This allows custom environment variables to be set for the engine process. Also, set `GIN_MODE` to `"release"` by default. - **Handle cases with no critics in evaluations** Modified the `EvalCase` class in `arcade/sdk/eval/eval.py` to handle scenarios where no critics are provided. This avoids potential errors during the evaluation process when critics are absent. Should add a test for this. - **Adjust dependencies in `pyproject.toml`** - Moved `uvicorn` to be an optional dependency and included it in the `fastapi` extra. - Removed unnecessary development dependencies (`mkdocs`, `mkdocs-material`, `mkdocstrings`). - Ensured that `uvicorn` is updated to version `^0.30.0`. --------- Co-authored-by: Nate Barbettini <nate@arcade-ai.com> |
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| 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/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.