openclaw/src/hooks/bundled/session-memory/handler.ts
2026-01-28 16:42:39 +05:30

183 lines
6.5 KiB
TypeScript

/**
* Session memory hook handler
*
* Saves session context to memory when /new command is triggered
* Creates a new dated memory file with LLM-generated slug
*/
import fs from "node:fs/promises";
import path from "node:path";
import os from "node:os";
import { fileURLToPath } from "node:url";
import type { MoltbotConfig } from "../../../config/config.js";
import { resolveAgentWorkspaceDir } from "../../../agents/agent-scope.js";
import { resolveAgentIdFromSessionKey } from "../../../routing/session-key.js";
import { resolveHookConfig } from "../../config.js";
import type { HookHandler } from "../../hooks.js";
/**
* Read recent messages from session file for slug generation
*/
async function getRecentSessionContent(
sessionFilePath: string,
messageCount: number = 15,
): Promise<string | null> {
try {
const content = await fs.readFile(sessionFilePath, "utf-8");
const lines = content.trim().split("\n");
// Parse JSONL and extract user/assistant messages first
const allMessages: string[] = [];
for (const line of lines) {
try {
const entry = JSON.parse(line);
// Session files have entries with type="message" containing a nested message object
if (entry.type === "message" && entry.message) {
const msg = entry.message;
const role = msg.role;
if ((role === "user" || role === "assistant") && msg.content) {
// Extract text content
const text = Array.isArray(msg.content)
? msg.content.find((c: any) => c.type === "text")?.text
: msg.content;
if (text && !text.startsWith("/")) {
allMessages.push(`${role}: ${text}`);
}
}
}
} catch {
// Skip invalid JSON lines
}
}
// Then slice to get exactly messageCount messages
const recentMessages = allMessages.slice(-messageCount);
return recentMessages.join("\n");
} catch {
return null;
}
}
/**
* Save session context to memory when /new command is triggered
*/
const saveSessionToMemory: HookHandler = async (event) => {
// Only trigger on 'new' command
if (event.type !== "command" || event.action !== "new") {
return;
}
try {
console.log("[session-memory] Hook triggered for /new command");
const context = event.context || {};
const cfg = context.cfg as MoltbotConfig | undefined;
const agentId = resolveAgentIdFromSessionKey(event.sessionKey);
const workspaceDir = cfg
? resolveAgentWorkspaceDir(cfg, agentId)
: path.join(os.homedir(), "clawd");
const memoryDir = path.join(workspaceDir, "memory");
await fs.mkdir(memoryDir, { recursive: true });
// Get today's date for filename
const now = new Date(event.timestamp);
const dateStr = now.toISOString().split("T")[0]; // YYYY-MM-DD
// Generate descriptive slug from session using LLM
const sessionEntry = (context.previousSessionEntry || context.sessionEntry || {}) as Record<
string,
unknown
>;
const currentSessionId = sessionEntry.sessionId as string;
const currentSessionFile = sessionEntry.sessionFile as string;
console.log("[session-memory] Current sessionId:", currentSessionId);
console.log("[session-memory] Current sessionFile:", currentSessionFile);
console.log("[session-memory] cfg present:", !!cfg);
const sessionFile = currentSessionFile || undefined;
// Read message count from hook config (default: 15)
const hookConfig = resolveHookConfig(cfg, "session-memory");
const messageCount =
typeof hookConfig?.messages === "number" && hookConfig.messages > 0
? hookConfig.messages
: 15;
let slug: string | null = null;
let sessionContent: string | null = null;
if (sessionFile) {
// Get recent conversation content
sessionContent = await getRecentSessionContent(sessionFile, messageCount);
console.log("[session-memory] sessionContent length:", sessionContent?.length || 0);
if (sessionContent && cfg) {
console.log("[session-memory] Calling generateSlugViaLLM...");
// Dynamically import the LLM slug generator (avoids module caching issues)
// When compiled, handler is at dist/hooks/bundled/session-memory/handler.js
// Going up ../.. puts us at dist/hooks/, so just add llm-slug-generator.js
const moltbotRoot = path.resolve(path.dirname(fileURLToPath(import.meta.url)), "../..");
const slugGenPath = path.join(moltbotRoot, "llm-slug-generator.js");
const { generateSlugViaLLM } = await import(slugGenPath);
// Use LLM to generate a descriptive slug
slug = await generateSlugViaLLM({ sessionContent, cfg });
console.log("[session-memory] Generated slug:", slug);
}
}
// If no slug, use timestamp
if (!slug) {
const timeSlug = now.toISOString().split("T")[1]!.split(".")[0]!.replace(/:/g, "");
slug = timeSlug.slice(0, 4); // HHMM
console.log("[session-memory] Using fallback timestamp slug:", slug);
}
// Create filename with date and slug
const filename = `${dateStr}-${slug}.md`;
const memoryFilePath = path.join(memoryDir, filename);
console.log("[session-memory] Generated filename:", filename);
console.log("[session-memory] Full path:", memoryFilePath);
// Format time as HH:MM:SS UTC
const timeStr = now.toISOString().split("T")[1]!.split(".")[0];
// Extract context details
const sessionId = (sessionEntry.sessionId as string) || "unknown";
const source = (context.commandSource as string) || "unknown";
// Build Markdown entry
const entryParts = [
`# Session: ${dateStr} ${timeStr} UTC`,
"",
`- **Session Key**: ${event.sessionKey}`,
`- **Session ID**: ${sessionId}`,
`- **Source**: ${source}`,
"",
];
// Include conversation content if available
if (sessionContent) {
entryParts.push("## Conversation Summary", "", sessionContent, "");
}
const entry = entryParts.join("\n");
// Write to new memory file
await fs.writeFile(memoryFilePath, entry, "utf-8");
console.log("[session-memory] Memory file written successfully");
// Log completion (but don't send user-visible confirmation - it's internal housekeeping)
const relPath = memoryFilePath.replace(os.homedir(), "~");
console.log(`[session-memory] Session context saved to ${relPath}`);
} catch (err) {
console.error(
"[session-memory] Failed to save session memory:",
err instanceof Error ? err.message : String(err),
);
}
};
export default saveSessionToMemory;