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Introduce a basic Val Town integration with a tutorial setup. Add configuration, environment variables, and example files for the Braintrust SDK. Implement a sample evaluation task in code.ts, and enhance the README with instructions to guide users in setting up their Val. Include error handling in the update command for processing Val directories.
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Create a GitHub Actions workflow to automate the updating of the val integration whenever there are push events to the main branch or pull requests affecting the relevant paths. The workflow checks out the code, sets up the Deno environment, and runs the update command for the val integration. This improves the integration management and ensures it stays up to date.
Add support for deno.lock file in the pre-commit configuration to ensure that changes to the Deno lock file are properly handled during the commit process. This improves consistency and collaboration across environments using Deno.
Add a new section in the README to document integrations with popular AI development tools and platforms, including LangChain.js, LangChain Python, Val Town, and Vercel AI SDK. This enhances visibility and clarity for users looking to expand their use of Braintrust with these tools.
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This pull request introduces the initial integration of Val Town, along with supporting tutorial files. Key features of this update include:
code.ts, showcasing practical application of the integration.In addition to the integration features, a continuous integration workflow has been set up via GitHub Actions. This workflow automates the updating process of the Val integration, incorporating the following functionalities:
The aim of this PR is to significantly improve the user experience by providing a structured and maintainable approach to integrating with Val Town.