Add AI chat with skills management and model provider settings
- Model providers for OpenAI and Anthropic message formats (e.g. via Sub2API), with API keys encrypted at rest and never returned - Skills tree with markdown editing, priorities, drafts, publishing and rollback; only published skills enter the chat prompt - Chat page with tool calls over collected news and Binance USD-M klines, a persisted CONTEXT.md, reset, and stop-generation support - Chat may only create skill drafts and update CONTEXT.md; publishing, deleting, moving and priority changes stay with the user
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import { http } from "@/http"
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export interface ToolCall {
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id: string
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name: string
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arguments: Record<string, unknown>
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}
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export interface ChatMessage {
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id: number
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role: "user" | "assistant" | "tool"
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/** user: {text};assistant: {text, tool_calls, stopped?, error?};tool: {tool_call_id, name, result} */
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content: Record<string, any>
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provider_id: number | null
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usage: { input_tokens?: number, output_tokens?: number } | null
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created_at: string
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}
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export interface ChatSession {
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id: number
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created_at: string
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messages: ChatMessage[]
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estimated_tokens: number
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generating: boolean
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}
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export interface ChatContext {
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id: number | null
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content: string
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source: "user" | "chat" | "reset" | null
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created_at: string | null
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}
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export function getChatSession(): Promise<ChatSession> {
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return http.get("/chat/session")
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}
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export function resetChat(clearContext: boolean): Promise<void> {
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return http.post("/chat/reset", { clear_context: clearContext })
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}
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export function getChatContext(): Promise<ChatContext> {
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return http.get("/chat/context")
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}
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export function saveChatContext(content: string): Promise<ChatContext> {
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return http.put("/chat/context", { content })
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}
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export function listChatContextVersions(): Promise<ChatContext[]> {
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return http.get("/chat/context/versions")
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}
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