This refactor updates the Telemetry and InfrastructureStatus components to initialize telemetry with the correct service name. By using the APP_NAME constant defined in the Index.ts file, the service name is now dynamically set, ensuring accurate telemetry tracking.
Files modified:
- App/Index.ts
- CommonServer/Utils/Telemetry.ts
This commit updates the react-syntax-highlighter package to the latest version and switches to the a11yDark style for syntax highlighting in the MarkdownViewer component. This update ensures compatibility with the latest features and improvements of react-syntax-highlighter and enhances the accessibility of the code snippets in the MarkdownViewer.
This commit adds the "@types/react-syntax-highlighter" dependency to the package.json file in the CommonUI directory. This is necessary to provide TypeScript type definitions for the "react-syntax-highlighter" library, ensuring proper type checking and improved development experience.
This commit adds the `network_mode: host` configuration to the `docker-compose.base.yml` file. This configuration allows the container to share the host network stack, enabling direct access to the host's network interfaces. This change is made to improve network performance and connectivity for the application.
This commit adds the necessary environment variables for the Hugging Face token and model name in the `docker-compose.yml` file. The `HF_TOKEN` environment variable is used to store the Hugging Face API token, which can be obtained by signing up on Hugging Face and creating a new API token. The `HF_MODEL_NAME` environment variable is optional and allows specifying the model name from Hugging Face. If not set, the default model `meta-llama/Meta-Llama-3-8B-Instruct` will be used.
This commit removes the unused Copilot configuration variables from the `config.example.env` file. The `COPILOT_OPENAI_API_KEY` and `COPILOT_OPENAI_MODEL` variables are no longer needed and have been removed. This cleanup improves the clarity and maintainability of the codebase.
- Update config.example.env to include OpenAI API key and model.
- Update docker-compose.base.yml to include OpenAI environment variables.
- Update Copilot configuration files to handle OpenAI LLM responses.
- Update Copilot Dockerfile.tpl to remove unnecessary code and fix formatting.
- Update config.example.env and Copilot/.env.example to correct the LLM server URL.
- Remove unused code and update documentation in Copilot/README.md.
- Update navigation links in App/FeatureSet/Docs/Utils/Nav.ts to include Copilot documentation.
- Update Copilot/Config.ts and Copilot/Utils/Init.ts to use the new LLM server URL.
- Add logger statements in Copilot/Service/CopilotActions/CopilotActionsBase.ts to log file content.
This commit updates the environment variables CODE_REPOSITORY_PASSWORD and CODE_REPOSITORY_USERNAME in the Copilot project. The previous variables GITHUB_TOKEN and GITHUB_USERNAME have been replaced with the new variables to improve clarity and consistency. The changes are made in multiple files, including .github/workflows/reliability-copilot.yml, Copilot/.env.example, Copilot/Config.ts, Copilot/Utils/CodeRepository.ts, Copilot/Utils/Init.ts, config.example.env, and docker-compose.base.yml. These updates ensure that the correct credentials are used for accessing the code repository in the Copilot project.
This commit updates the Copilot configuration for local development. It adds environment variables and services to the docker-compose.base.yml and package.json files to support running Copilot locally. The changes include adding the "copilot" service to the docker-compose.base.yml file with the necessary environment variables for Copilot functionality. Additionally, it adds new npm scripts in the package.json file to start, build, and force-build Copilot. These updates enable developers to easily run and build Copilot locally for testing and development purposes.
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.
This commit adds a notification webhook on user creation in the UserService. When a new user is created, a Slack message is sent to the specified webhook URL with details about the user's email, name, phone number, and company name. This feature enhances the user onboarding process and allows for better tracking and communication with new users.
This commit updates the Nginx configuration file to enable HTTP/2 by removing the `http2` directive from the `listen` directive and adding a separate `http2` directive. This change ensures that the server supports the latest HTTP/2 protocol, improving performance and security.
This commit updates the Llama app to use a local model path instead of a model ID. The model path is set to "/app/Models/Meta-Llama-3-8B-Instruct". This change improves the reliability and performance of the app by directly referencing the model file instead of relying on an external model ID.
This commit modifies the Dockerfile.tpl file to update the EXPOSE directive. The port number is changed from 80 to 8547 to align with the port used by the Llama application. This change ensures that the Llama application is accessible from outside the container on the correct port.
The login test in Login.spec.ts has been updated to handle cases where the user credentials (email and password) are missing. Previously, the test would only check if the user is registered, but now it also checks if the registered user email and password are available. This change ensures that the test behaves correctly in all scenarios and improves the reliability of the login functionality.
The ALLOWED_ACTIVE_MONITOR_COUNT_IN_FREE_PLAN constant has been updated to 10 in multiple files. This change aligns the codebase with the new limit for active monitors allowed in the free plan.
This commit updates the timeout handling in the monitor scripts to use the `WorkflowScriptTimeoutInMS` and `PROBE_CUSTOM_CODE_MONITOR_SCRIPT_TIMEOUT_IN_MS` values from the environment configuration. This ensures that the monitor scripts have consistent and configurable timeout values, improving the reliability and performance of the monitoring system.
