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2026-07-13 13:39:12 +08:00

327 lines
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TypeScript

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