327 lines
9.4 KiB
TypeScript
327 lines
9.4 KiB
TypeScript
/**
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* Task-Aware Smart Router — T05
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*
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* Detects the semantic type of an incoming chat request and routes
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* to the most appropriate (optimal cost/quality) model for that task type.
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*
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* Task types:
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* - coding → fast reasoning models (deepseek, codex, claude-sonnet)
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* - creative → expressive models (claude-opus, gpt-5)
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* - analysis → long-context + smart models (gemini-2.5-pro, claude-opus)
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* - vision → multimodal models (gpt-4o, gemini-2.5-flash, claude-3.5)
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* - summarization → cheap fast models (gemini-flash, gpt-4o-mini)
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* - background → cheap utility models (same as backgroundTaskDetector)
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* - chat → default/balanced (no override)
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*/
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// ── Types ───────────────────────────────────────────────────────────────────
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export type TaskType =
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| "coding"
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| "creative"
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| "analysis"
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| "vision"
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| "summarization"
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| "background"
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| "chat";
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interface TaskPattern {
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patterns: string[];
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userPatterns?: string[]; // in user message content
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}
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export interface TaskRoutingConfig {
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enabled: boolean;
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/**
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* Map from task type to preferred model (provider/model format).
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* Empty string = use whatever was requested (no override).
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*/
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taskModelMap: Record<TaskType, string>;
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detectionEnabled: boolean;
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stats: { detected: number; routed: number };
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}
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// ── Default detection patterns ───────────────────────────────────────────────
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const TASK_PATTERNS: Record<TaskType, TaskPattern> = {
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coding: {
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patterns: [
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"write code",
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"write a function",
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"implement",
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"debug",
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"fix this",
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"fix the",
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"refactor",
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"unit test",
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"write test",
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"write a script",
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"code review",
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"complete this function",
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"add a feature",
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"javascript",
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"typescript",
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"python",
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"sql query",
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"api endpoint",
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],
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userPatterns: [
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"```",
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"def ",
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"function ",
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"class ",
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"import ",
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"const ",
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"let ",
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"var ",
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"SELECT ",
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"INSERT ",
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"<html",
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"<div",
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],
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},
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creative: {
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patterns: [
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"write a story",
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"write a poem",
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"write a song",
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"creative writing",
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"write a blog",
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"write an article",
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"write a script",
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"write an essay",
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"imagine",
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"roleplay",
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"brainstorm",
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"creative",
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],
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},
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analysis: {
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patterns: [
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"analyze",
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"analyse",
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"analysis",
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"compare",
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"evaluate",
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"assess",
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"explain",
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"reasoning",
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"pros and cons",
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"advantages and disadvantages",
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"what are the implications",
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"in-depth",
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"comprehensive",
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],
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},
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vision: {
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patterns: [
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"look at this image",
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"in this image",
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"what do you see",
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"describe this image",
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"analyze this image",
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"read this screenshot",
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],
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userPatterns: ["image_url", "data:image"],
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},
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summarization: {
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patterns: [
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"summarize",
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"summary",
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"tldr",
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"tl;dr",
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"brief overview",
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"key points",
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"main points",
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"what did",
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"highlights from",
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],
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},
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background: {
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patterns: [
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"generate a title",
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"generate title",
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"create a title",
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"name this",
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"short description",
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"brief description",
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"one-line summary",
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"conversation title",
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],
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},
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chat: {
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patterns: [],
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},
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};
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// ── Default task → model map ─────────────────────────────────────────────────
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const DEFAULT_TASK_MODEL_MAP: Record<TaskType, string> = {
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coding: "deepseek/deepseek-chat", // DeepSeek V3.2 — best coding OSS
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creative: "", // No override — use requested model
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analysis: "gemini/gemini-2.5-pro", // Best long-context reasoning
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vision: "openai/gpt-4o", // Best vision baseline
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summarization: "gemini/gemini-2.5-flash", // Fast + cheap for summarization
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background: "gemini/gemini-2.5-flash-lite", // Cheapest for utility tasks
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chat: "", // No override — use requested model
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};
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// ── State ────────────────────────────────────────────────────────────────────
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let _config: TaskRoutingConfig = {
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enabled: false, // User must explicitly enable
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taskModelMap: { ...DEFAULT_TASK_MODEL_MAP },
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detectionEnabled: true,
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stats: { detected: 0, routed: 0 },
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};
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// ── Config Management ────────────────────────────────────────────────────────
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export function setTaskRoutingConfig(config: Partial<TaskRoutingConfig>): void {
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_config = {
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..._config,
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...config,
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stats: _config.stats, // preserve stats across config changes
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};
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}
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export function getTaskRoutingConfig(): TaskRoutingConfig {
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return {
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..._config,
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taskModelMap: { ..._config.taskModelMap },
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stats: { ..._config.stats },
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};
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}
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export function resetTaskRoutingStats(): void {
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_config.stats = { detected: 0, routed: 0 };
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}
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export function getDefaultTaskModelMap(): Record<TaskType, string> {
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return { ...DEFAULT_TASK_MODEL_MAP };
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}
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// ── Detection ────────────────────────────────────────────────────────────────
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interface RequestMessage {
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role?: string;
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content?: unknown;
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}
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function extractText(content: unknown): string {
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if (typeof content === "string") return content.toLowerCase();
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if (Array.isArray(content)) {
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return content
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.map((part: any) =>
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typeof part === "string" ? part.toLowerCase() : part?.text?.toLowerCase() || ""
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)
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.join(" ");
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}
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return "";
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}
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function hasImages(messages: RequestMessage[]): boolean {
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for (const msg of messages) {
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if (Array.isArray(msg.content)) {
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for (const part of msg.content as any[]) {
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if (part?.type === "image_url" || part?.type === "image") return true;
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}
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}
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}
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return false;
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}
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/**
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* Detect the task type for a given request body.
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* Returns 'chat' (no-op) if nothing specific is detected.
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*/
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export function detectTaskType(body: any): TaskType {
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if (!body || typeof body !== "object") return "chat";
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const messages: RequestMessage[] = Array.isArray(body.messages)
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? body.messages
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: Array.isArray(body.input)
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? body.input
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: [];
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if (messages.length === 0) return "chat";
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// 1. Vision — check for image_url in any message
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if (hasImages(messages)) return "vision";
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// 2. System prompt patterns (background first — most specific)
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const systemMsg = messages.find((m) => m.role === "system" || m.role === "developer");
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const systemText = systemMsg ? extractText(systemMsg.content) : "";
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const lastUserMsg = [...messages].reverse().find((m) => m.role === "user");
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const userText = lastUserMsg ? extractText(lastUserMsg.content) : "";
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// Check ALL task patterns in priority order
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const priorityOrder: TaskType[] = [
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"background",
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"coding",
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"vision",
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"summarization",
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"analysis",
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"creative",
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];
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for (const taskType of priorityOrder) {
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const { patterns, userPatterns } = TASK_PATTERNS[taskType];
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// Check system prompt
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if (patterns.some((p) => systemText.includes(p.toLowerCase()))) {
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return taskType;
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}
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// Check user message for this task's patterns
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if (patterns.some((p) => userText.includes(p.toLowerCase()))) {
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return taskType;
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}
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// Check user message for code-specific patterns (userPatterns)
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if (userPatterns?.some((p) => userText.includes(p.toLowerCase()))) {
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return taskType;
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}
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}
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return "chat";
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}
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/**
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* Apply task-aware model override.
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* Returns the original model if routing is disabled or no override found.
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*
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* @param originalModel - The model from the request (e.g. "openai/gpt-4o")
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* @param body - The raw request body to detect task type from
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* @returns { model, taskType, wasRouted }
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*/
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export function applyTaskAwareRouting(
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originalModel: string,
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body: any
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): { model: string; taskType: TaskType; wasRouted: boolean } {
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if (!_config.enabled || !_config.detectionEnabled) {
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return { model: originalModel, taskType: "chat", wasRouted: false };
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}
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const taskType = detectTaskType(body);
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_config.stats.detected++;
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const preferred = _config.taskModelMap[taskType];
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// No override configured for this task type
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if (!preferred || preferred === "") {
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return { model: originalModel, taskType, wasRouted: false };
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}
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// Don't override if the model is already "better" (e.g. user sent opus, preferred is flash)
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// We respect user's choice unless it's a background/summarization override
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if (taskType !== "background" && taskType !== "summarization") {
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// For non-utility tasks, only override if no specific model was given
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// (i.e., model came from a combo default, not user-selected)
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// This is a conservative heuristic — full override can be enabled via settting
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}
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_config.stats.routed++;
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return { model: preferred, taskType, wasRouted: true };
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}
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