Jason Woltje
08938dc735
- Created API clients for LLM chat (/api/llm/chat) and Ideas (/api/ideas) - Implemented useChat hook for conversation state management - Connected Chat component to backend with full CRUD operations - Integrated ConversationSidebar with conversation fetching - Added automatic conversation persistence after each message - Integrated WebSocket for connection status - Used existing better-auth for authentication - All TypeScript strict mode compliant (no any types) Deliverables: ✅ Working chat interface at /chat route ✅ Conversations save to database via Ideas API ✅ Real-time WebSocket connection ✅ Clean TypeScript (no errors) ✅ Full conversation loading and persistence See CHAT_INTEGRATION_SUMMARY.md for detailed documentation.
58 lines
1.2 KiB
TypeScript
58 lines
1.2 KiB
TypeScript
/**
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* Chat API client
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* Handles LLM chat interactions via /api/llm/chat
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*/
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import { apiPost } from "./client";
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export interface ChatMessage {
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role: "system" | "user" | "assistant";
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content: string;
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}
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export interface ChatRequest {
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model: string;
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messages: ChatMessage[];
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stream?: boolean;
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temperature?: number;
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maxTokens?: number;
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systemPrompt?: string;
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}
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export interface ChatResponse {
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model: string;
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message: {
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role: "assistant";
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content: string;
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};
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done: boolean;
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totalDuration?: number;
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promptEvalCount?: number;
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evalCount?: number;
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}
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/**
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* Send a chat message to the LLM
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*/
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export async function sendChatMessage(request: ChatRequest): Promise<ChatResponse> {
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return apiPost<ChatResponse>("/api/llm/chat", request);
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}
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/**
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* Stream a chat message from the LLM (not implemented yet)
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* TODO: Implement streaming support
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*/
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export function streamChatMessage(
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request: ChatRequest,
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onChunk: (chunk: string) => void,
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onComplete: () => void,
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onError: (error: Error) => void
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): void {
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// Streaming implementation would go here
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void request;
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void onChunk;
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void onComplete;
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void onError;
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throw new Error("Streaming not implemented yet");
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}
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