696 lines
22 KiB
TypeScript
696 lines
22 KiB
TypeScript
import { convert as htmlToText } from "html-to-text";
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import type OpenAI from "openai";
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import { z } from "zod";
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import { env } from "../env.js";
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import { exaClient } from "../search/exa.js";
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import { searchSearxng } from "../search/searxng.js";
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import type { ChatMessage } from "./types.js";
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const MAX_TOOL_ROUNDS = 4;
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const DEFAULT_WEB_RESULTS = 5;
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const MAX_WEB_RESULTS = 10;
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const DEFAULT_FETCH_MAX_CHARACTERS = 12_000;
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const MAX_FETCH_MAX_CHARACTERS = 50_000;
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const FETCH_TIMEOUT_MS = 12_000;
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const WebSearchArgsSchema = z
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.object({
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query: z.string().trim().min(1),
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numResults: z.coerce.number().int().min(1).max(MAX_WEB_RESULTS).optional(),
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type: z.enum(["auto", "fast", "instant"]).optional(),
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includeDomains: z.array(z.string().trim().min(1)).max(25).optional(),
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excludeDomains: z.array(z.string().trim().min(1)).max(25).optional(),
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})
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.strict();
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type WebSearchArgs = z.infer<typeof WebSearchArgsSchema>;
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const FetchUrlArgsSchema = z
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.object({
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url: z.string().trim().url(),
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maxCharacters: z.coerce.number().int().min(500).max(MAX_FETCH_MAX_CHARACTERS).optional(),
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})
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.strict();
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const CHAT_TOOLS: any[] = [
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{
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type: "function",
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function: {
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name: "web_search",
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description:
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"Search the public web for recent or factual information. Returns ranked results with per-result summaries and snippets.",
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parameters: {
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type: "object",
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properties: {
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query: { type: "string", description: "Search query." },
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numResults: {
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type: "integer",
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minimum: 1,
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maximum: MAX_WEB_RESULTS,
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description: "Number of results to return (default 5).",
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},
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type: {
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type: "string",
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enum: ["auto", "fast", "instant"],
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description: "Search mode.",
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},
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includeDomains: {
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type: "array",
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items: { type: "string" },
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description: "Only include these domains.",
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},
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excludeDomains: {
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type: "array",
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items: { type: "string" },
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description: "Exclude these domains.",
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},
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},
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required: ["query"],
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additionalProperties: false,
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},
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},
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},
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{
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type: "function",
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function: {
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name: "fetch_url",
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description:
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"Fetch a webpage by URL and return readable plaintext content extracted from the page for deeper inspection.",
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parameters: {
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type: "object",
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properties: {
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url: { type: "string", description: "Absolute URL to fetch, including http/https." },
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maxCharacters: {
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type: "integer",
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minimum: 500,
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maximum: MAX_FETCH_MAX_CHARACTERS,
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description: "Maximum response text characters returned (default 12000).",
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},
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},
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required: ["url"],
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additionalProperties: false,
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},
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},
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},
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];
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export const CHAT_TOOL_SYSTEM_PROMPT =
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"You can use tools to gather up-to-date web information when needed. " +
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"Use web_search for discovery and recent facts, and fetch_url to read the full content of a specific page. " +
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"Prefer tools when the user asks for current events, verification, sources, or details you do not already have. " +
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"Do not fabricate tool outputs; reason only from provided tool results.";
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type ToolRunOutcome = {
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ok: boolean;
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[key: string]: unknown;
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};
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type ToolAwareUsage = {
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inputTokens?: number;
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outputTokens?: number;
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totalTokens?: number;
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};
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type ToolAwareCompletionResult = {
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text: string;
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usage?: ToolAwareUsage;
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raw: unknown;
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toolEvents: ToolExecutionEvent[];
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};
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export type ToolAwareStreamingEvent =
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| { type: "delta"; text: string }
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| { type: "tool_call"; event: ToolExecutionEvent }
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| { type: "done"; result: ToolAwareCompletionResult };
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type ToolAwareCompletionParams = {
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client: OpenAI;
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model: string;
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messages: ChatMessage[];
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temperature?: number;
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maxTokens?: number;
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onToolEvent?: (event: ToolExecutionEvent) => void | Promise<void>;
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logContext?: {
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provider: string;
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model: string;
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chatId?: string;
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};
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};
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export type ToolExecutionEvent = {
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toolCallId: string;
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name: string;
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status: "completed" | "failed";
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summary: string;
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args: Record<string, unknown>;
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startedAt: string;
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completedAt: string;
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durationMs: number;
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error?: string;
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resultPreview?: string;
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};
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function compactWhitespace(input: string) {
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return input.replace(/\r/g, "").replace(/[ \t]+\n/g, "\n").replace(/\n{3,}/g, "\n\n").trim();
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}
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function clipText(input: string, maxCharacters: number) {
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return input.length <= maxCharacters ? input : `${input.slice(0, maxCharacters)}...`;
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}
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function toRecord(value: unknown): Record<string, unknown> {
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if (!value || typeof value !== "object" || Array.isArray(value)) return {};
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return { ...(value as Record<string, unknown>) };
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}
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function toSingleLine(value: string, maxLength = 220) {
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return clipText(
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value
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.replace(/\r?\n+/g, " ")
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.replace(/\s+/g, " ")
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.trim(),
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maxLength
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);
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}
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function buildToolSummary(name: string, args: Record<string, unknown>, status: "completed" | "failed", error?: string) {
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const errSuffix = status === "failed" && error ? ` Error: ${toSingleLine(error, 140)}` : "";
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if (name === "web_search") {
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const query = typeof args.query === "string" ? args.query.trim() : "";
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if (status === "completed") {
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return query ? `Performed web search for '${toSingleLine(query, 100)}'.` : "Performed web search.";
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}
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return query ? `Web search for '${toSingleLine(query, 100)}' failed.${errSuffix}` : `Web search failed.${errSuffix}`;
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}
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if (name === "fetch_url") {
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const url = typeof args.url === "string" ? args.url.trim() : "";
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if (status === "completed") {
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return url ? `Fetched URL ${toSingleLine(url, 140)}.` : "Fetched URL.";
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}
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return url ? `Fetching URL ${toSingleLine(url, 140)} failed.${errSuffix}` : `Fetching URL failed.${errSuffix}`;
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}
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if (status === "completed") {
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return `Ran tool '${name}'.`;
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}
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return `Tool '${name}' failed.${errSuffix}`;
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}
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function logToolEvent(event: ToolExecutionEvent, context?: ToolAwareCompletionParams["logContext"]) {
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const payload = {
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kind: "tool_call",
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...context,
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...event,
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};
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const line = `[tool_call] ${JSON.stringify(payload)}`;
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if (event.status === "failed") console.error(line);
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else console.info(line);
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}
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function buildResultPreview(toolResult: ToolRunOutcome) {
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const serialized = JSON.stringify(toolResult);
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return serialized ? clipText(serialized, 400) : undefined;
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}
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export function buildToolLogMessageData(chatId: string, event: ToolExecutionEvent) {
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return {
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chatId,
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role: "tool" as const,
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content: event.summary,
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name: event.name,
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metadata: {
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kind: "tool_call",
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toolCallId: event.toolCallId,
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toolName: event.name,
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status: event.status,
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summary: event.summary,
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args: event.args,
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startedAt: event.startedAt,
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completedAt: event.completedAt,
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durationMs: event.durationMs,
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error: event.error ?? null,
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resultPreview: event.resultPreview ?? null,
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},
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};
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}
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function extractHtmlTitle(html: string) {
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const match = html.match(/<title[^>]*>([\s\S]*?)<\/title>/i);
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if (!match?.[1]) return null;
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return compactWhitespace(
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match[1]
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.replace(/ /gi, " ")
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.replace(/&/gi, "&")
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.replace(/</gi, "<")
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.replace(/>/gi, ">")
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.replace(/"/gi, '"')
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.replace(/'/gi, "'")
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);
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}
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function normalizeIncomingMessages(messages: ChatMessage[]) {
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const normalized = messages.map((m) => {
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if (m.role === "tool") {
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const name = m.name?.trim() || "tool";
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return {
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role: "user",
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content: `Tool output (${name}):\n${m.content}`,
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};
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}
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if (m.role === "assistant" || m.role === "system" || m.role === "user") {
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const out: any = { role: m.role, content: m.content };
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if (m.name && (m.role === "assistant" || m.role === "user")) {
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out.name = m.name;
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}
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return out;
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}
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return { role: "user", content: m.content };
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});
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return [{ role: "system", content: CHAT_TOOL_SYSTEM_PROMPT }, ...normalized];
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}
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async function runExaWebSearchTool(args: WebSearchArgs): Promise<ToolRunOutcome> {
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const exa = exaClient();
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const response = await exa.search(args.query, {
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type: args.type ?? "auto",
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numResults: args.numResults ?? DEFAULT_WEB_RESULTS,
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includeDomains: args.includeDomains,
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excludeDomains: args.excludeDomains,
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moderation: true,
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userLocation: "US",
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contents: {
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summary: { query: args.query },
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highlights: {
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query: args.query,
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maxCharacters: 320,
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numSentences: 2,
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highlightsPerUrl: 2,
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},
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text: { maxCharacters: 1_000 },
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},
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} as any);
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const results = Array.isArray(response?.results) ? response.results : [];
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return {
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ok: true,
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searchEngine: "exa",
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query: args.query,
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requestId: response?.requestId ?? null,
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results: results.map((result: any, index: number) => ({
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rank: index + 1,
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title: typeof result?.title === "string" ? result.title : null,
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url: typeof result?.url === "string" ? result.url : null,
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publishedDate: typeof result?.publishedDate === "string" ? result.publishedDate : null,
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author: typeof result?.author === "string" ? result.author : null,
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summary: typeof result?.summary === "string" ? clipText(result.summary, 1_400) : null,
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text: typeof result?.text === "string" ? clipText(result.text, 700) : null,
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highlights: Array.isArray(result?.highlights)
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? result.highlights.filter((h: unknown) => typeof h === "string").slice(0, 3).map((h: string) => clipText(h, 280))
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: [],
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})),
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};
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}
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async function runSearxngWebSearchTool(args: WebSearchArgs): Promise<ToolRunOutcome> {
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const response = await searchSearxng(args.query, {
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numResults: args.numResults ?? DEFAULT_WEB_RESULTS,
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includeDomains: args.includeDomains,
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excludeDomains: args.excludeDomains,
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});
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return {
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ok: true,
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searchEngine: "searxng",
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query: args.query,
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requestId: response.requestId,
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results: response.results.map((result, index) => ({
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rank: index + 1,
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title: result.title,
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url: result.url,
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publishedDate: result.publishedDate,
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author: null,
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summary: result.summary,
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text: result.text,
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highlights: result.summary ? [clipText(result.summary, 280)] : [],
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engines: result.engines,
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})),
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};
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}
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async function runWebSearchTool(input: unknown): Promise<ToolRunOutcome> {
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const args = WebSearchArgsSchema.parse(input);
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if (env.CHAT_WEB_SEARCH_ENGINE === "searxng") {
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return runSearxngWebSearchTool(args);
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}
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return runExaWebSearchTool(args);
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}
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function assertSafeFetchUrl(urlRaw: string) {
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const parsed = new URL(urlRaw);
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if (parsed.protocol !== "http:" && parsed.protocol !== "https:") {
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throw new Error("Only http:// and https:// URLs are supported.");
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}
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return parsed;
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}
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async function runFetchUrlTool(input: unknown): Promise<ToolRunOutcome> {
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const args = FetchUrlArgsSchema.parse(input);
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const parsed = assertSafeFetchUrl(args.url);
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const maxCharacters = args.maxCharacters ?? DEFAULT_FETCH_MAX_CHARACTERS;
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const controller = new AbortController();
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const timeout = setTimeout(() => controller.abort(), FETCH_TIMEOUT_MS);
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let response: Response;
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try {
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response = await fetch(parsed.toString(), {
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redirect: "follow",
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signal: controller.signal,
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headers: {
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"User-Agent": "SybilBot/1.0 (+https://sybil.local)",
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Accept: "text/html, text/plain, application/json;q=0.9, */*;q=0.5",
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},
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});
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} finally {
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clearTimeout(timeout);
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}
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if (!response.ok) {
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throw new Error(`Fetch failed with status ${response.status}.`);
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}
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const contentType = (response.headers.get("content-type") ?? "").toLowerCase();
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const body = await response.text();
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const isHtml = contentType.includes("text/html") || /<!doctype html|<html[\s>]/i.test(body);
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let extracted = body;
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if (isHtml) {
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extracted = htmlToText(body, {
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wordwrap: false,
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preserveNewlines: true,
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selectors: [
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{ selector: "img", format: "skip" },
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{ selector: "script", format: "skip" },
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{ selector: "style", format: "skip" },
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{ selector: "noscript", format: "skip" },
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{ selector: "a", options: { ignoreHref: true } },
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],
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});
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}
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const normalized = compactWhitespace(extracted);
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const truncated = normalized.length > maxCharacters;
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const text = truncated
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? `${normalized.slice(0, maxCharacters)}\n\n[truncated ${normalized.length - maxCharacters} characters]`
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: normalized;
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return {
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ok: true,
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url: response.url || parsed.toString(),
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status: response.status,
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contentType: contentType || null,
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title: isHtml ? extractHtmlTitle(body) : null,
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truncated,
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text,
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};
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}
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async function executeTool(name: string, args: unknown): Promise<ToolRunOutcome> {
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if (name === "web_search") return runWebSearchTool(args);
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if (name === "fetch_url") return runFetchUrlTool(args);
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return { ok: false, error: `Unknown tool: ${name}` };
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}
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function parseToolArgs(raw: unknown) {
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if (typeof raw !== "string") return {};
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const trimmed = raw.trim();
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if (!trimmed) return {};
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try {
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return JSON.parse(trimmed);
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} catch (err: any) {
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throw new Error(`Invalid JSON arguments: ${err?.message ?? String(err)}`);
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}
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}
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function mergeUsage(acc: Required<ToolAwareUsage>, usage: any) {
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if (!usage) return false;
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acc.inputTokens += usage.prompt_tokens ?? 0;
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acc.outputTokens += usage.completion_tokens ?? 0;
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acc.totalTokens += usage.total_tokens ?? 0;
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return true;
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}
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type NormalizedToolCall = {
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id: string;
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name: string;
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arguments: string;
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};
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function normalizeModelToolCalls(toolCalls: any[], round: number): NormalizedToolCall[] {
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return toolCalls.map((call: any, index: number) => ({
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id: call?.id ?? `tool_call_${round}_${index}`,
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name: call?.function?.name ?? "unknown_tool",
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arguments: call?.function?.arguments ?? "{}",
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}));
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}
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async function executeToolCallAndBuildEvent(
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call: NormalizedToolCall,
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params: ToolAwareCompletionParams
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): Promise<{ event: ToolExecutionEvent; toolResult: ToolRunOutcome }> {
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const startedAtMs = Date.now();
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const startedAt = new Date(startedAtMs).toISOString();
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let toolResult: ToolRunOutcome;
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let parsedArgs: Record<string, unknown> = {};
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try {
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parsedArgs = toRecord(parseToolArgs(call.arguments));
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toolResult = await executeTool(call.name, parsedArgs);
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} catch (err: any) {
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toolResult = {
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ok: false,
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error: err?.message ?? String(err),
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};
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}
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const status: "completed" | "failed" = toolResult.ok ? "completed" : "failed";
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const error =
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status === "failed"
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? typeof toolResult.error === "string"
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? toolResult.error
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: "Tool execution failed."
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: undefined;
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const completedAtMs = Date.now();
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const event: ToolExecutionEvent = {
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toolCallId: call.id,
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name: call.name,
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status,
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summary: buildToolSummary(call.name, parsedArgs, status, error),
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args: parsedArgs,
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startedAt,
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completedAt: new Date(completedAtMs).toISOString(),
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durationMs: completedAtMs - startedAtMs,
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error,
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resultPreview: buildResultPreview(toolResult),
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};
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logToolEvent(event, params.logContext);
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if (params.onToolEvent) {
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await params.onToolEvent(event);
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}
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return { event, toolResult };
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}
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export async function runToolAwareOpenAIChat(params: ToolAwareCompletionParams): Promise<ToolAwareCompletionResult> {
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const conversation: any[] = normalizeIncomingMessages(params.messages);
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const rawResponses: unknown[] = [];
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const toolEvents: ToolExecutionEvent[] = [];
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const usageAcc: Required<ToolAwareUsage> = { inputTokens: 0, outputTokens: 0, totalTokens: 0 };
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let sawUsage = false;
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let totalToolCalls = 0;
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for (let round = 0; round < MAX_TOOL_ROUNDS; round += 1) {
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const completion = await params.client.chat.completions.create({
|
|
model: params.model,
|
|
messages: conversation,
|
|
temperature: params.temperature,
|
|
max_tokens: params.maxTokens,
|
|
tools: CHAT_TOOLS,
|
|
tool_choice: "auto",
|
|
} as any);
|
|
rawResponses.push(completion);
|
|
sawUsage = mergeUsage(usageAcc, completion?.usage) || sawUsage;
|
|
|
|
const message = completion?.choices?.[0]?.message;
|
|
if (!message) {
|
|
return {
|
|
text: "",
|
|
usage: sawUsage ? usageAcc : undefined,
|
|
raw: { responses: rawResponses, toolCallsUsed: totalToolCalls, missingMessage: true },
|
|
toolEvents,
|
|
};
|
|
}
|
|
|
|
const toolCalls = Array.isArray(message.tool_calls) ? message.tool_calls : [];
|
|
if (!toolCalls.length) {
|
|
return {
|
|
text: typeof message.content === "string" ? message.content : "",
|
|
usage: sawUsage ? usageAcc : undefined,
|
|
raw: { responses: rawResponses, toolCallsUsed: totalToolCalls },
|
|
toolEvents,
|
|
};
|
|
}
|
|
|
|
const normalizedToolCalls = normalizeModelToolCalls(toolCalls, round);
|
|
totalToolCalls += normalizedToolCalls.length;
|
|
|
|
const assistantToolCallMessage: any = {
|
|
role: "assistant",
|
|
tool_calls: normalizedToolCalls.map((call) => ({
|
|
id: call.id,
|
|
type: "function",
|
|
function: {
|
|
name: call.name,
|
|
arguments: call.arguments,
|
|
},
|
|
})),
|
|
};
|
|
if (typeof message.content === "string" && message.content.length) {
|
|
assistantToolCallMessage.content = message.content;
|
|
}
|
|
conversation.push(assistantToolCallMessage);
|
|
|
|
for (const call of normalizedToolCalls) {
|
|
const { event, toolResult } = await executeToolCallAndBuildEvent(call, params);
|
|
toolEvents.push(event);
|
|
|
|
conversation.push({
|
|
role: "tool",
|
|
tool_call_id: call.id,
|
|
content: JSON.stringify(toolResult),
|
|
});
|
|
}
|
|
}
|
|
|
|
return {
|
|
text: "I reached the tool-call limit while gathering information. Please narrow the request and try again.",
|
|
usage: sawUsage ? usageAcc : undefined,
|
|
raw: { responses: rawResponses, toolCallsUsed: totalToolCalls, toolCallLimitReached: true },
|
|
toolEvents,
|
|
};
|
|
}
|
|
|
|
export async function* runToolAwareOpenAIChatStream(
|
|
params: ToolAwareCompletionParams
|
|
): AsyncGenerator<ToolAwareStreamingEvent> {
|
|
const conversation: any[] = normalizeIncomingMessages(params.messages);
|
|
const rawResponses: unknown[] = [];
|
|
const toolEvents: ToolExecutionEvent[] = [];
|
|
const usageAcc: Required<ToolAwareUsage> = { inputTokens: 0, outputTokens: 0, totalTokens: 0 };
|
|
let sawUsage = false;
|
|
let totalToolCalls = 0;
|
|
|
|
for (let round = 0; round < MAX_TOOL_ROUNDS; round += 1) {
|
|
const stream = await params.client.chat.completions.create({
|
|
model: params.model,
|
|
messages: conversation,
|
|
temperature: params.temperature,
|
|
max_tokens: params.maxTokens,
|
|
tools: CHAT_TOOLS,
|
|
tool_choice: "auto",
|
|
stream: true,
|
|
stream_options: { include_usage: true },
|
|
} as any);
|
|
|
|
let roundText = "";
|
|
const roundToolCalls = new Map<number, { id?: string; name?: string; arguments: string }>();
|
|
|
|
for await (const chunk of stream as any as AsyncIterable<any>) {
|
|
rawResponses.push(chunk);
|
|
sawUsage = mergeUsage(usageAcc, chunk?.usage) || sawUsage;
|
|
|
|
const choice = chunk?.choices?.[0];
|
|
const deltaText = choice?.delta?.content ?? "";
|
|
if (typeof deltaText === "string" && deltaText.length) {
|
|
roundText += deltaText;
|
|
if (roundToolCalls.size === 0) {
|
|
yield { type: "delta", text: deltaText };
|
|
}
|
|
}
|
|
|
|
const deltaToolCalls = Array.isArray(choice?.delta?.tool_calls) ? choice.delta.tool_calls : [];
|
|
for (const toolCall of deltaToolCalls) {
|
|
const idx = typeof toolCall?.index === "number" ? toolCall.index : 0;
|
|
const entry = roundToolCalls.get(idx) ?? { arguments: "" };
|
|
if (typeof toolCall?.id === "string" && toolCall.id.length) {
|
|
entry.id = toolCall.id;
|
|
}
|
|
if (typeof toolCall?.function?.name === "string" && toolCall.function.name.length) {
|
|
entry.name = toolCall.function.name;
|
|
}
|
|
if (typeof toolCall?.function?.arguments === "string" && toolCall.function.arguments.length) {
|
|
entry.arguments += toolCall.function.arguments;
|
|
}
|
|
roundToolCalls.set(idx, entry);
|
|
}
|
|
}
|
|
|
|
const normalizedToolCalls: NormalizedToolCall[] = [...roundToolCalls.entries()]
|
|
.sort((a, b) => a[0] - b[0])
|
|
.map(([_, call], index) => ({
|
|
id: call.id ?? `tool_call_${round}_${index}`,
|
|
name: call.name ?? "unknown_tool",
|
|
arguments: call.arguments || "{}",
|
|
}));
|
|
|
|
if (!normalizedToolCalls.length) {
|
|
yield {
|
|
type: "done",
|
|
result: {
|
|
text: roundText,
|
|
usage: sawUsage ? usageAcc : undefined,
|
|
raw: { streamed: true, responses: rawResponses, toolCallsUsed: totalToolCalls },
|
|
toolEvents,
|
|
},
|
|
};
|
|
return;
|
|
}
|
|
|
|
totalToolCalls += normalizedToolCalls.length;
|
|
conversation.push({
|
|
role: "assistant",
|
|
tool_calls: normalizedToolCalls.map((call) => ({
|
|
id: call.id,
|
|
type: "function",
|
|
function: {
|
|
name: call.name,
|
|
arguments: call.arguments,
|
|
},
|
|
})),
|
|
});
|
|
|
|
for (const call of normalizedToolCalls) {
|
|
const { event, toolResult } = await executeToolCallAndBuildEvent(call, params);
|
|
toolEvents.push(event);
|
|
yield { type: "tool_call", event };
|
|
conversation.push({
|
|
role: "tool",
|
|
tool_call_id: call.id,
|
|
content: JSON.stringify(toolResult),
|
|
});
|
|
}
|
|
}
|
|
|
|
yield {
|
|
type: "done",
|
|
result: {
|
|
text: "I reached the tool-call limit while gathering information. Please narrow the request and try again.",
|
|
usage: sawUsage ? usageAcc : undefined,
|
|
raw: { streamed: true, responses: rawResponses, toolCallsUsed: totalToolCalls, toolCallLimitReached: true },
|
|
toolEvents,
|
|
},
|
|
};
|
|
}
|