## PR Description
Changes `pip install 'arcade-ai[fastapi]'` to `pip install arcade-ai`.
In other words, FastAPI is now a required dependecy of arcade-ai.
Additionally, I snuck in some minor cleanup changes.
# 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`
This PR enhances the Docker build and deployment process for the Arcade
Worker by:
- **Modularizing Docker Builds:**
- Introduces a new `INSTALL_TOOLKITS` build argument in the `Dockerfile`
to conditionally include toolkits. this enables the creation of a
`arcadeai/worker-base` which can be used to build custom containers in a
multi-stage build. an example of this is included in the example dir.
- Adds `docker-base` Makefile target to build a lightweight base image
without toolkits.
- **Publishing to GitHub Container Registry (GHCR):**
- Adds Makefile targets `publish-ghcr` and `gh-login` for pushing images
to GHCR.
- Supports publishing both base and full images with toolkits to GHCR.
- **Docker Compose:**
- Add Docker compose file and setup
- Renames the `actor` service to `worker`
- Adds an `nginx` service in `docker-compose.yml` to proxy requests to
the Arcade Engine.
- Introduces an `nginx.conf` file for the Nginx service.
- **Streamlining Toolkit Installation:**
- Moves toolkit installation from the `start.sh` script to the Docker
build process.
- Creates a `toolkits.txt` file to manage toolkit dependencies which can
be edited easily when we want to add a new toolkit. Developers can also
use this approach as shown in the example.
- **Improving Configuration Files:**
- Updates `docker.engine.yaml` and `env.example` to align with the new
setup.
TODO:
- CI/CD needs to be adjusted so that images are pushed to ghcr on
release.
- AWS resources need to be renamed actor -> worker @EricGustin
This can go in after the above two items are resolved.
---------
Co-authored-by: Wils Dawson <wils@arcade-ai.com>
Co-authored-by: Eric Gustin <34000337+EricGustin@users.noreply.github.com>
Co-authored-by: sdreyer <sterling@arcade-ai.com>
Co-authored-by: Sterling Dreyer <sdreyer21@gmail.com>
Co-authored-by: Nate Barbettini <nathanaelb@gmail.com>
This PR introduces the `lookup_tweet_by_id` tool to the X toolkit,
enabling users to retrieve tweet details by tweet ID. This enhancement
extends the toolkit's capabilities, allowing for more comprehensive
interactions with the X (Twitter) API.
**Key Changes:**
- **Added `lookup_tweet_by_id` Tool:**
- Implemented the `lookup_tweet_by_id` function in `tools/tweets.py`,
which allows users to fetch tweet information using a tweet ID.
- Included error handling for API response codes and expanded URLs in
tweets to assist language models in avoiding hallucinations due to
shortened URLs.
- **Enhanced Toolkit Structure:**
- Added several configuration files to the X toolkit to establish a
standardized project structure, which in the future will be generated by
`arcade new`. These include:
- `.pre-commit-config.yaml`: Defines pre-commit hooks for code quality
checks.
- `.ruff.toml`: Configuration for the Ruff linter.
- `LICENSE`: MIT License file for the toolkit.
- `Makefile`: Contains common commands for building, testing, and
linting the toolkit.
- **Updated Makefile:**
- Added `make check-toolkits` command to the top-level `Makefile`. This
command runs code quality tools for each toolkit that contains a
`Makefile`.
**Additional Notes:**
- **Tests:**
- Added unit tests for the new `lookup_tweet_by_id` tool in
`tests/test_tweets.py`.
- Included tests for the user lookup functionality in
`tests/test_users.py`.
- **Linting and Code Quality:**
- Configured pre-commit hooks and Ruff linter to enforce code standards.
- Updated the `pyproject.toml` file with development dependencies for
testing and linting.
-
---------
Co-authored-by: Eric Gustin <eric@arcade-ai.com>
```
authors = ["Arcade AI <dev@arcade-ai.com>"]
```
vs
```
authors = ["Arcade AI <dev@arcade-ai.com"]
```
There is also now a ``make`` command for ``make install-toolkits``
This PR improves the Docker build process by shifting from building the
project within the Docker image to using pre-built wheels. The main
changes are:
1. **Updated Makefile:**
- **`VERSION` Variable:** Set to `0.1.0.dev0` to reflect the new default
development version.
- **`docker` Target:**
- Added steps to build the Arcade and toolkit wheels before building the
Docker image.
- Exports the required extras (`fastapi`, `evals`) to a
`requirements.txt` file.
- **`full-dist` Target:**
- Builds distributions for the main project and all toolkits.
- Copies all the built wheels to a centralized `./dist` directory.
- **`clean-dist` Target:**
- Cleans build artifacts from `./dist`, `arcade/dist`, and
`toolkits/*/dist` directories.
2. **Modified Dockerfile:**
- **Copy Pre-built Wheels:** Adjusted to copy wheels and the
`requirements.txt` from the `./dist` directory into the Docker image.
- **Installation Process:**
- Installs the Arcade wheel with the necessary extras.
- Installs toolkits from the copied wheel files, eliminating the need to
build them inside the Docker image.
- **Simplification:** Removed unnecessary commands, such as installing
build tools and copying the entire codebase, to streamline the
Dockerfile.
3. **Toolkits `pyproject.toml` Updates:**
- Changed the `arcade-ai` dependency version from `^0.1.0` to `0.1.*` in
all toolkit `pyproject.toml` files to ensure compatibility with the new
versioning scheme.
4. **Docker Makefile Adjustments:**
- Set the `VERSION` variable to `0.1.0.dev0` to align with the main
Makefile.
- Ensures consistent versioning across Docker-related build processes.
**Benefits:**
- **Efficiency:** Building wheels outside the Docker context reduces the
Docker image build time and resource consumption. overall docker image
size reduced by **1Gb**!!!
- **Reliability:** Using pre-built wheels ensures consistency across
different environments and simplifies dependency management.
- **Maintainability:** The Dockerfile and Makefiles are cleaner and more
straightforward, making them easier to understand and maintain.
**Notes:**
- Developers should run `make docker` to build and run the Docker
container using the new process.
- Ensure that any CI/CD pipelines are updated to accommodate these
changes in the build process. @sdreyer
# 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.
1. New Eval SDK (`arcade/sdk/eval.py`):
- Introduces `EvalSuite`, `EvalCase`, and `EvalRubric` classes for
structured evaluation.
- Implements various Critic classes (Binary, Numeric, Similarity) for
flexible scoring.
- Adds a `tool_eval` decorator for easy integration with existing tools.
2. CLI Integration (`arcade/cli/main.py` and `arcade/cli/utils.py`):
- Adds an `evals` command to run evaluation suites from the CLI.
- Implements result display functionality for evaluation outcomes.
3. Toolkit Updates:
- Adds evaluation scripts for Gmail
([toolkits/gmail/evals/eval_gmail_tools.py](file:///Users/spartee/Dropbox/Arcade/platform/Team/arcade-ai/toolkits/gmail/evals/eval_gmail_tools.py#1%2C1-1%2C1))
and Slack
([toolkits/slack/evals/eval_slack_messaging.py](file:///Users/spartee/Dropbox/Arcade/platform/Team/arcade-ai/toolkits/slack/evals/eval_slack_messaging.py#1%2C1-1%2C1))
toolkits.
- Demonstrates practical usage of the Eval SDK with real-world
scenarios.
4. Miscellaneous:
- Updates `arcade/cli/new.py` to optionally generate an `evals`
directory for new toolkits.
---------
Co-authored-by: Nate Barbettini <nate@arcade-ai.com>
Working now:
- `arcade login` works against the Cloud
- `arcade logout` deletes your local credentials
---------
Co-authored-by: Sam Partee <sam@arcade-ai.com>
