Chat Assistant — Azure OpenAI Connector

Embeds a conversational chat panel directly into VS Code's activity bar, enabling developers to send natural language prompts to Azure OpenAI GPT models without leaving the editor. The extension manages WebView-based UI rendering, maintains conversation history in memory during the session, and routes messages through Azure OpenAI REST APIs using provided credentials. Implements VS Code's WebView API for sandboxed UI rendering and uses the extension's activation context to persist connection state across editor sessions.

Manages Azure OpenAI API authentication by accepting and storing user-provided API keys and deployment endpoints through VS Code's extension settings or configuration UI. The extension constructs Azure OpenAI REST API calls with Bearer token authentication headers and handles connection validation. Implements credential input via VS Code's settings.json or a configuration dialog, with no built-in encryption or secure credential storage — credentials are stored in plaintext in the extension's configuration.

Maintains a conversation thread in memory during the VS Code session, storing user prompts and AI responses in a message buffer that is displayed in the chat panel. The extension appends new messages to this buffer and renders them in chronological order within the WebView. No persistence mechanism is implemented — the conversation history is cleared when VS Code closes or the extension is deactivated, requiring manual export or copy-paste to preserve conversations.

Constructs and sends HTTP POST requests to Azure OpenAI's chat completion endpoint, formatting user prompts into the Azure OpenAI API request schema (messages array with role/content structure). The extension handles HTTP response parsing, extracts the assistant's response from the API payload, and displays it in the chat panel. Implements error handling for network failures, API rate limits, and authentication errors, with error messages displayed to the user in the chat interface.

Enables developers to manually copy code from the editor and paste it into the chat panel as part of their prompt. The extension treats pasted code as plain text within the message and sends it to Azure OpenAI as part of the user's prompt. No automatic code parsing, syntax highlighting, or structural analysis is performed on pasted snippets — they are treated as raw text input. This allows developers to ask questions about specific code without the extension needing to read files from the workspace.