471e9ce935
Replace manual HTTP proxy in ChatController with Semantic Kernel's OpenAI chat completion service pointed at CLIProxyAPI. Add extraction plugin with validation function for structured field extraction from natural language, enabling an agentic loop with auto-retry and human-in-the-loop escalation. - Add Microsoft.SemanticKernel 1.74.0 with OpenAI connector - Create ExtractedFields schema and ValidationResult models - Create ExtractionPlugin with [KernelFunction] validation - Rewrite ChatController to use IChatCompletionService streaming - Configure FunctionChoiceBehavior.Auto() for tool calling - Preserve existing SSE contract (client unchanged) - Update tests to mock SK services, add plugin and integration tests - Archive multi-turn-conversations and migrate-to-semantic-kernel changes - Sync specs for agent-extraction, semantic-kernel-integration, chat-streaming Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
1.1 KiB
1.1 KiB
MODIFIED Requirements
Requirement: Streaming AI response
The assistant SHALL reply with a real AI response streamed from the backend API, using the full conversation history as context. Tokens appear incrementally as they arrive.
Scenario: Bot replies with streamed AI response
- WHEN the user sends any message
- THEN the assistant message appears and grows token by token as the stream delivers text
Scenario: Full history sent with each request
- WHEN the user sends a message after prior exchanges
- THEN all previous user and assistant messages are included in the API request so the AI has conversational context
ADDED Requirements
Requirement: New chat button
The chat page SHALL provide a button to clear the current conversation and start a new one.
Scenario: User starts a new chat
- WHEN the user clicks the "New Chat" button
- THEN all messages are cleared and the empty state is shown
Scenario: New chat button disabled during streaming
- WHEN the assistant is currently streaming a response
- THEN the "New Chat" button is disabled