This commit refactors the code in Llama.ts and ImproveComments.ts to improve comments and handle bad operations. In Llama.ts, a new import statement for the BadOperationException class is added, and if the result object contains an error string, a BadOperationException is thrown. In ImproveComments.ts, an unused variable declaration is removed. These changes enhance code readability and error handling.
Refactor CopilotActionsBase.ts, RefactorCode.ts, ImproveReadme.ts, ImproveVariableNames.ts, FixGrammarAndSpelling.ts, and WriteUnitTests.ts to use an array of messages instead of a single prompt. Each message in the array contains the content and role of the prompt. This change improves the flexibility and readability of the code.
This commit updates the Dockerfile and docker-compose.llm.yml files to include the LLM Models directory. The Dockerfile now uses the `ADD .` command to copy the entire repository into the container at `/app`, and the docker-compose.llm.yml file has been modified to set the context to the `./LLM` directory. These changes ensure that the LLM Models directory is included in the Docker image and that the correct context is used for building the image.
The Redis service has been added to the docker-compose.llm.yml file. This service is responsible for caching and cluster state. It extends the configuration from the docker-compose.base.yml file and uses the "redis" service defined there.
Update the Dockerfile in the Copilot directory to use the correct volume mount path. This ensures that the Copilot tool can access the repository files correctly when running in a Docker container.
Fix a typo in the Hugging Face clone URL in the test-release.yaml file, which was causing the cloning process to fail. The "@" symbol was missing in the URL. This commit adds the missing "@" symbol to the URL.
The Banner component has been updated to handle optional link and openInNewTab props. If a link is provided, it will be wrapped in a Link component. If no link is provided, the content will be rendered directly. This change allows for more flexibility in using the Banner component.
Fix a typo in the Hugging Face clone URL in the test-release.yaml file, which was causing the cloning process to fail. The "@" symbol was missing in the URL. This commit adds the missing "@" symbol to the URL.
The Hugging Face clone URL in the test-release.yaml file had a missing "@" symbol, causing the cloning process to fail. This commit fixes the typo by adding the "@" symbol to the URL.
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This commit updates the Dockerfile and build process for deploying the LLM (Llama Models) service. The Dockerfile has been generated from the Dockerfile.tpl file, and the build process now includes pulling the model from Hugging Face and setting up QEMU and Docker Buildx. Additionally, the login actions for Docker Hub and GitHub Container Registry have been added, and the build and push steps have been configured to use the updated tags and labels from the metadata action.
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The npm scripts for starting, building, and force-building the LLM (Llama Models) service have been updated in the package.json file. The new scripts use the docker-compose.llm.yml file instead of the docker-compose.ai.yml file. This change ensures that the correct configuration is used for deploying the LLM service.
The directory name for Llama Models has been updated from "Llama/Models" to "LLM/Models". This change ensures consistency and aligns with the updated file paths in the codebase.
chore: Set oneuptimeSecret and encryptionSecret to long random strings
The `oneuptimeSecret` and `encryptionSecret` values in the `values.yaml` file have been updated to be set to long random strings. This change ensures better security for OneUptime in production environments.
This commit adds error handling for item processing in the `job` function of `app.py`. When an error occurs while processing an item, the error is stored in the `errors` dictionary. This ensures that errors are captured and can be handled appropriately. The `queue-status` endpoint now includes the `errors` dictionary in the response, providing visibility into any processing errors that occurred.
This commit adds error handling for item processing in the `job` function of `app.py`. When an error occurs while processing an item, the error is stored in the `errors` dictionary. This ensures that errors are captured and can be handled appropriately. The `queue-status` endpoint now includes the `errors` dictionary in the response, providing visibility into any processing errors that occurred.
