mom: turn-based context, timestamp fixes, system prompt improvements (#68)

Breaking Changes:
- Timestamps now use Slack format - run migrate-timestamps.ts for existing logs

Added:
- Channel/user ID mappings in system prompt
- Skills documentation in system prompt
- Debug last_prompt.txt output
- Bash working directory info
- Token-efficient log queries filtering tool calls

Changed:
- Turn-based message context (groups consecutive bot messages as one turn)
- Messages sorted by Slack timestamp
- Condensed system prompt (~5k → ~2.7k chars)
- Simplified user prompt
- Selective logging (skip UI status labels)

Fixed:
- Duplicate message logging from app_mention handler
- Username obfuscation in thread messages

packages/ai/src/models.generated.ts

@@ -1957,6 +1957,23 @@ export const MODELS = {
 		} satisfies Model<"anthropic-messages">,
 	},
 	openrouter: {
+		"prime-intellect/intellect-3": {
+			id: "prime-intellect/intellect-3",
+			name: "Prime Intellect: INTELLECT-3",
+			api: "openai-completions",
+			provider: "openrouter",
+			baseUrl: "https://openrouter.ai/api/v1",
+			reasoning: true,
+			input: ["text"],
+			cost: {
+				input: 0.19999999999999998,
+				output: 1.1,
+				cacheRead: 0,
+				cacheWrite: 0,
+			},
+			contextWindow: 131072,
+			maxTokens: 131072,
+		} satisfies Model<"openai-completions">,
 		"tngtech/tng-r1t-chimera:free": {
 			id: "tngtech/tng-r1t-chimera:free",
 			name: "TNG: R1T Chimera (free)",
@@ -2238,8 +2255,8 @@ export const MODELS = {
 			reasoning: true,
 			input: ["text"],
 			cost: {
-				input: 0.24,
+				input: 0.255,
-				output: 0.96,
+				output: 1.02,
 				cacheRead: 0,
 				cacheWrite: 0,
 			},
@@ -4983,23 +5000,6 @@ export const MODELS = {
 			contextWindow: 32768,
 			maxTokens: 4096,
 		} satisfies Model<"openai-completions">,
-		"cohere/command-r-08-2024": {
-			id: "cohere/command-r-08-2024",
-			name: "Cohere: Command R (08-2024)",
-			api: "openai-completions",
-			provider: "openrouter",
-			baseUrl: "https://openrouter.ai/api/v1",
-			reasoning: false,
-			input: ["text"],
-			cost: {
-				input: 0.15,
-				output: 0.6,
-				cacheRead: 0,
-				cacheWrite: 0,
-			},
-			contextWindow: 128000,
-			maxTokens: 4000,
-		} satisfies Model<"openai-completions">,
 		"cohere/command-r-plus-08-2024": {
 			id: "cohere/command-r-plus-08-2024",
 			name: "Cohere: Command R+ (08-2024)",
@@ -5017,6 +5017,23 @@ export const MODELS = {
 			contextWindow: 128000,
 			maxTokens: 4000,
 		} satisfies Model<"openai-completions">,
+		"cohere/command-r-08-2024": {
+			id: "cohere/command-r-08-2024",
+			name: "Cohere: Command R (08-2024)",
+			api: "openai-completions",
+			provider: "openrouter",
+			baseUrl: "https://openrouter.ai/api/v1",
+			reasoning: false,
+			input: ["text"],
+			cost: {
+				input: 0.15,
+				output: 0.6,
+				cacheRead: 0,
+				cacheWrite: 0,
+			},
+			contextWindow: 128000,
+			maxTokens: 4000,
+		} satisfies Model<"openai-completions">,
 		"sao10k/l3.1-euryale-70b": {
 			id: "sao10k/l3.1-euryale-70b",
 			name: "Sao10K: Llama 3.1 Euryale 70B v2.2",
@@ -5153,9 +5170,9 @@ export const MODELS = {
 			contextWindow: 131072,
 			maxTokens: 16384,
 		} satisfies Model<"openai-completions">,
-		"openai/gpt-4o-mini-2024-07-18": {
+		"openai/gpt-4o-mini": {
-			id: "openai/gpt-4o-mini-2024-07-18",
+			id: "openai/gpt-4o-mini",
-			name: "OpenAI: GPT-4o-mini (2024-07-18)",
+			name: "OpenAI: GPT-4o-mini",
 			api: "openai-completions",
 			provider: "openrouter",
 			baseUrl: "https://openrouter.ai/api/v1",
@@ -5170,9 +5187,9 @@ export const MODELS = {
 			contextWindow: 128000,
 			maxTokens: 16384,
 		} satisfies Model<"openai-completions">,
-		"openai/gpt-4o-mini": {
+		"openai/gpt-4o-mini-2024-07-18": {
-			id: "openai/gpt-4o-mini",
+			id: "openai/gpt-4o-mini-2024-07-18",
-			name: "OpenAI: GPT-4o-mini",
+			name: "OpenAI: GPT-4o-mini (2024-07-18)",
 			api: "openai-completions",
 			provider: "openrouter",
 			baseUrl: "https://openrouter.ai/api/v1",
@@ -5272,23 +5289,6 @@ export const MODELS = {
 			contextWindow: 128000,
 			maxTokens: 4096,
 		} satisfies Model<"openai-completions">,
-		"openai/gpt-4o-2024-05-13": {
-			id: "openai/gpt-4o-2024-05-13",
-			name: "OpenAI: GPT-4o (2024-05-13)",
-			api: "openai-completions",
-			provider: "openrouter",
-			baseUrl: "https://openrouter.ai/api/v1",
-			reasoning: false,
-			input: ["text", "image"],
-			cost: {
-				input: 5,
-				output: 15,
-				cacheRead: 0,
-				cacheWrite: 0,
-			},
-			contextWindow: 128000,
-			maxTokens: 4096,
-		} satisfies Model<"openai-completions">,
 		"openai/gpt-4o": {
 			id: "openai/gpt-4o",
 			name: "OpenAI: GPT-4o",
@@ -5323,22 +5323,22 @@ export const MODELS = {
 			contextWindow: 128000,
 			maxTokens: 64000,
 		} satisfies Model<"openai-completions">,
-		"meta-llama/llama-3-70b-instruct": {
+		"openai/gpt-4o-2024-05-13": {
-			id: "meta-llama/llama-3-70b-instruct",
+			id: "openai/gpt-4o-2024-05-13",
-			name: "Meta: Llama 3 70B Instruct",
+			name: "OpenAI: GPT-4o (2024-05-13)",
 			api: "openai-completions",
 			provider: "openrouter",
 			baseUrl: "https://openrouter.ai/api/v1",
 			reasoning: false,
-			input: ["text"],
+			input: ["text", "image"],
 			cost: {
-				input: 0.3,
+				input: 5,
-				output: 0.39999999999999997,
+				output: 15,
 				cacheRead: 0,
 				cacheWrite: 0,
 			},
-			contextWindow: 8192,
+			contextWindow: 128000,
-			maxTokens: 16384,
+			maxTokens: 4096,
 		} satisfies Model<"openai-completions">,
 		"meta-llama/llama-3-8b-instruct": {
 			id: "meta-llama/llama-3-8b-instruct",
@@ -5357,6 +5357,23 @@ export const MODELS = {
 			contextWindow: 8192,
 			maxTokens: 16384,
 		} satisfies Model<"openai-completions">,
+		"meta-llama/llama-3-70b-instruct": {
+			id: "meta-llama/llama-3-70b-instruct",
+			name: "Meta: Llama 3 70B Instruct",
+			api: "openai-completions",
+			provider: "openrouter",
+			baseUrl: "https://openrouter.ai/api/v1",
+			reasoning: false,
+			input: ["text"],
+			cost: {
+				input: 0.3,
+				output: 0.39999999999999997,
+				cacheRead: 0,
+				cacheWrite: 0,
+			},
+			contextWindow: 8192,
+			maxTokens: 16384,
+		} satisfies Model<"openai-completions">,
 		"mistralai/mixtral-8x22b-instruct": {
 			id: "mistralai/mixtral-8x22b-instruct",
 			name: "Mistral: Mixtral 8x22B Instruct",
@@ -5442,23 +5459,6 @@ export const MODELS = {
 			contextWindow: 128000,
 			maxTokens: 4096,
 		} satisfies Model<"openai-completions">,
-		"openai/gpt-3.5-turbo-0613": {
-			id: "openai/gpt-3.5-turbo-0613",
-			name: "OpenAI: GPT-3.5 Turbo (older v0613)",
-			api: "openai-completions",
-			provider: "openrouter",
-			baseUrl: "https://openrouter.ai/api/v1",
-			reasoning: false,
-			input: ["text"],
-			cost: {
-				input: 1,
-				output: 2,
-				cacheRead: 0,
-				cacheWrite: 0,
-			},
-			contextWindow: 4095,
-			maxTokens: 4096,
-		} satisfies Model<"openai-completions">,
 		"openai/gpt-4-turbo-preview": {
 			id: "openai/gpt-4-turbo-preview",
 			name: "OpenAI: GPT-4 Turbo Preview",
@@ -5476,6 +5476,23 @@ export const MODELS = {
 			contextWindow: 128000,
 			maxTokens: 4096,
 		} satisfies Model<"openai-completions">,
+		"openai/gpt-3.5-turbo-0613": {
+			id: "openai/gpt-3.5-turbo-0613",
+			name: "OpenAI: GPT-3.5 Turbo (older v0613)",
+			api: "openai-completions",
+			provider: "openrouter",
+			baseUrl: "https://openrouter.ai/api/v1",
+			reasoning: false,
+			input: ["text"],
+			cost: {
+				input: 1,
+				output: 2,
+				cacheRead: 0,
+				cacheWrite: 0,
+			},
+			contextWindow: 4095,
+			maxTokens: 4096,
+		} satisfies Model<"openai-completions">,
 		"mistralai/mistral-small": {
 			id: "mistralai/mistral-small",
 			name: "Mistral Small",
@@ -5578,23 +5595,6 @@ export const MODELS = {
 			contextWindow: 8191,
 			maxTokens: 4096,
 		} satisfies Model<"openai-completions">,
-		"openai/gpt-4": {
-			id: "openai/gpt-4",
-			name: "OpenAI: GPT-4",
-			api: "openai-completions",
-			provider: "openrouter",
-			baseUrl: "https://openrouter.ai/api/v1",
-			reasoning: false,
-			input: ["text"],
-			cost: {
-				input: 30,
-				output: 60,
-				cacheRead: 0,
-				cacheWrite: 0,
-			},
-			contextWindow: 8191,
-			maxTokens: 4096,
-		} satisfies Model<"openai-completions">,
 		"openai/gpt-3.5-turbo": {
 			id: "openai/gpt-3.5-turbo",
 			name: "OpenAI: GPT-3.5 Turbo",
@@ -5612,6 +5612,23 @@ export const MODELS = {
 			contextWindow: 16385,
 			maxTokens: 4096,
 		} satisfies Model<"openai-completions">,
+		"openai/gpt-4": {
+			id: "openai/gpt-4",
+			name: "OpenAI: GPT-4",
+			api: "openai-completions",
+			provider: "openrouter",
+			baseUrl: "https://openrouter.ai/api/v1",
+			reasoning: false,
+			input: ["text"],
+			cost: {
+				input: 30,
+				output: 60,
+				cacheRead: 0,
+				cacheWrite: 0,
+			},
+			contextWindow: 8191,
+			maxTokens: 4096,
+		} satisfies Model<"openai-completions">,
 		"openrouter/auto": {
 			id: "openrouter/auto",
 			name: "OpenRouter: Auto Router",

packages/mom/CHANGELOG.md

@@ -2,6 +2,48 @@
 
 ## [Unreleased]
 
+### Breaking Changes
+
+- Timestamps now use Slack format (seconds.microseconds) and messages are sorted by `ts` field
+  - **Migration required**: Run `npx tsx scripts/migrate-timestamps.ts ./data` to fix existing logs
+  - Without migration, message context will be incorrectly ordered
+
+### Added
+
+- Channel and user ID mappings in system prompt
+  - Fetches all channels bot is member of and all workspace users at startup
+  - Mom can now reference channels by name and mention users properly
+- Skills documentation in system prompt
+  - Explains custom CLI tools pattern with SKILL.md files
+  - Encourages mom to create reusable tools for recurring tasks
+- Debug output: writes `last_prompt.txt` to channel directory with full context
+- Bash working directory info in system prompt (/ for Docker, cwd for host)
+- Token-efficient log queries that filter out tool calls/results for summaries
+
+### Changed
+
+- Turn-based message context instead of raw line count (#68)
+  - Groups consecutive bot messages (tool calls/results) as single turn
+  - "50 turns" now means ~50 conversation exchanges, not 50 log lines
+  - Prevents tool-heavy runs from pushing out conversation context
+- Messages sorted by Slack timestamp before building context
+  - Fixes out-of-order issues from async attachment downloads
+  - Added monotonic counter for sub-millisecond ordering
+- Condensed system prompt from ~5k to ~2.7k chars
+  - More concise workspace layout (tree format)
+  - Clearer log query examples (conversation-only vs full details)
+  - Removed redundant guidelines section
+- User prompt simplified: removed duplicate "Current message" (already in history)
+- Tool status labels (`_→ label_`) no longer logged to jsonl
+- Thread messages and thinking no longer double-logged
+
+### Fixed
+
+- Duplicate message logging: removed redundant log from app_mention handler
+- Username obfuscation in thread messages to prevent unwanted pings
+  - Handles @username, bare username, and <@USERID> formats
+  - Escapes special regex characters in usernames
+
 ## [0.10.1] - 2025-11-27
 
 ### Changed

packages/mom/scripts/migrate-timestamps.ts

@@ -0,0 +1,121 @@
+#!/usr/bin/env npx tsx
+/**
+ * Migrate log.jsonl timestamps from milliseconds to Slack format (seconds.microseconds)
+ * 
+ * Usage: npx tsx scripts/migrate-timestamps.ts <data-dir>
+ * Example: npx tsx scripts/migrate-timestamps.ts ./data
+ */
+
+import { readFileSync, writeFileSync, readdirSync, statSync, existsSync } from "fs";
+import { join } from "path";
+
+function isMillisecondTimestamp(ts: string): boolean {
+	// Slack timestamps are seconds.microseconds, like "1764279530.533489"
+	// Millisecond timestamps are just big numbers, like "1764279320398"
+	// 
+	// Key insight: 
+	// - Slack ts from 2025: ~1.7 billion (10 digits before decimal)
+	// - Millisecond ts from 2025: ~1.7 trillion (13 digits)
+	
+	// If it has a decimal and the integer part is < 10^12, it's Slack format
+	if (ts.includes(".")) {
+		const intPart = parseInt(ts.split(".")[0], 10);
+		return intPart > 1e12; // Unlikely to have decimal AND be millis, but check anyway
+	}
+	
+	// No decimal - check if it's too big to be seconds
+	const num = parseInt(ts, 10);
+	return num > 1e12; // If > 1 trillion, it's milliseconds
+}
+
+function convertToSlackTs(msTs: string): string {
+	const ms = parseInt(msTs, 10);
+	const seconds = Math.floor(ms / 1000);
+	const micros = (ms % 1000) * 1000;
+	return `${seconds}.${micros.toString().padStart(6, "0")}`;
+}
+
+function migrateFile(filePath: string): { total: number; migrated: number } {
+	const content = readFileSync(filePath, "utf-8");
+	const lines = content.split("\n").filter(Boolean);
+	
+	let migrated = 0;
+	const newLines: string[] = [];
+	
+	for (const line of lines) {
+		try {
+			const msg = JSON.parse(line);
+			if (msg.ts && isMillisecondTimestamp(msg.ts)) {
+				const oldTs = msg.ts;
+				msg.ts = convertToSlackTs(msg.ts);
+				console.log(`  Converted: ${oldTs} -> ${msg.ts}`);
+				migrated++;
+			}
+			newLines.push(JSON.stringify(msg));
+		} catch (e) {
+			// Keep malformed lines as-is
+			console.log(`  Warning: Could not parse line: ${line.substring(0, 50)}...`);
+			newLines.push(line);
+		}
+	}
+	
+	if (migrated > 0) {
+		writeFileSync(filePath, newLines.join("\n") + "\n", "utf-8");
+	}
+	
+	return { total: lines.length, migrated };
+}
+
+function findLogFiles(dir: string): string[] {
+	const logFiles: string[] = [];
+	
+	if (!existsSync(dir)) {
+		console.error(`Directory not found: ${dir}`);
+		return [];
+	}
+	
+	const entries = readdirSync(dir);
+	for (const entry of entries) {
+		const fullPath = join(dir, entry);
+		const stat = statSync(fullPath);
+		
+		if (stat.isDirectory()) {
+			// Check for log.jsonl in subdirectory
+			const logPath = join(fullPath, "log.jsonl");
+			if (existsSync(logPath)) {
+				logFiles.push(logPath);
+			}
+		}
+	}
+	
+	return logFiles;
+}
+
+// Main
+const dataDir = process.argv[2];
+if (!dataDir) {
+	console.error("Usage: npx tsx scripts/migrate-timestamps.ts <data-dir>");
+	console.error("Example: npx tsx scripts/migrate-timestamps.ts ./data");
+	process.exit(1);
+}
+
+console.log(`Scanning for log.jsonl files in: ${dataDir}\n`);
+
+const logFiles = findLogFiles(dataDir);
+if (logFiles.length === 0) {
+	console.log("No log.jsonl files found.");
+	process.exit(0);
+}
+
+let totalMigrated = 0;
+let totalMessages = 0;
+
+for (const logFile of logFiles) {
+	console.log(`Processing: ${logFile}`);
+	const { total, migrated } = migrateFile(logFile);
+	totalMessages += total;
+	totalMigrated += migrated;
+	console.log(`  ${migrated}/${total} messages migrated\n`);
+}
+
+console.log(`Done! Migrated ${totalMigrated}/${totalMessages} total messages across ${logFiles.length} files.`);

packages/mom/src/agent.ts

@@ -1,17 +1,39 @@
 import { Agent, type AgentEvent, ProviderTransport } from "@mariozechner/pi-agent-core";
 import { getModel } from "@mariozechner/pi-ai";
 import { existsSync, readFileSync } from "fs";
-import { mkdir } from "fs/promises";
+import { mkdir, writeFile } from "fs/promises";
 import { join } from "path";
 import * as log from "./log.js";
 import { createExecutor, type SandboxConfig } from "./sandbox.js";
-import type { SlackContext } from "./slack.js";
+import type { ChannelInfo, SlackContext, UserInfo } from "./slack.js";
 import type { ChannelStore } from "./store.js";
 import { createMomTools, setUploadFunction } from "./tools/index.js";
 
 // Hardcoded model for now
 const model = getModel("anthropic", "claude-sonnet-4-5");
 
+/**
+ * Convert Date.now() to Slack timestamp format (seconds.microseconds)
+ * Uses a monotonic counter to ensure ordering even within the same millisecond
+ */
+let lastTsMs = 0;
+let tsCounter = 0;
+
+function toSlackTs(): string {
+	const now = Date.now();
+	if (now === lastTsMs) {
+		// Same millisecond - increment counter for sub-ms ordering
+		tsCounter++;
+	} else {
+		// New millisecond - reset counter
+		lastTsMs = now;
+		tsCounter = 0;
+	}
+	const seconds = Math.floor(now / 1000);
+	const micros = (now % 1000) * 1000 + tsCounter; // ms to micros + counter
+	return `${seconds}.${micros.toString().padStart(6, "0")}`;
+}
+
 export interface AgentRunner {
 	run(ctx: SlackContext, channelDir: string, store: ChannelStore): Promise<{ stopReason: string }>;
 	abort(): void;
@@ -25,7 +47,17 @@ function getAnthropicApiKey(): string {
 	return key;
 }
 
-function getRecentMessages(channelDir: string, count: number): string {
+interface LogMessage {
+	date?: string;
+	ts?: string;
+	user?: string;
+	userName?: string;
+	text?: string;
+	attachments?: Array<{ local: string }>;
+	isBot?: boolean;
+}
+
+function getRecentMessages(channelDir: string, turnCount: number): string {
 	const logPath = join(channelDir, "log.jsonl");
 	if (!existsSync(logPath)) {
 		return "(no message history yet)";
@@ -33,23 +65,72 @@ function getRecentMessages(channelDir: string, count: number): string {
 
 	const content = readFileSync(logPath, "utf-8");
 	const lines = content.trim().split("\n").filter(Boolean);
-	const recentLines = lines.slice(-count);
 
-	if (recentLines.length === 0) {
+	if (lines.length === 0) {
 		return "(no message history yet)";
 	}
 
-	// Format as TSV for more concise system prompt
+	// Parse all messages and sort by Slack timestamp
-	const formatted: string[] = [];
+	// (attachment downloads can cause out-of-order logging)
-	for (const line of recentLines) {
+	const messages: LogMessage[] = [];
+	for (const line of lines) {
 		try {
-			const msg = JSON.parse(line);
+			messages.push(JSON.parse(line));
+		} catch {}
+	}
+	messages.sort((a, b) => {
+		const tsA = parseFloat(a.ts || "0");
+		const tsB = parseFloat(b.ts || "0");
+		return tsA - tsB;
+	});
+
+	// Group into "turns" - a turn is either:
+	// - A single user message (isBot: false)
+	// - A sequence of consecutive bot messages (isBot: true) coalesced into one turn
+	// We walk backwards to get the last N turns
+	const turns: LogMessage[][] = [];
+	let currentTurn: LogMessage[] = [];
+	let lastWasBot: boolean | null = null;
+
+	for (let i = messages.length - 1; i >= 0; i--) {
+		const msg = messages[i];
+		const isBot = msg.isBot === true;
+
+		if (lastWasBot === null) {
+			// First message
+			currentTurn.unshift(msg);
+			lastWasBot = isBot;
+		} else if (isBot && lastWasBot) {
+			// Consecutive bot messages - same turn
+			currentTurn.unshift(msg);
+		} else {
+			// Transition - save current turn and start new one
+			turns.unshift(currentTurn);
+			currentTurn = [msg];
+			lastWasBot = isBot;
+
+			// Stop if we have enough turns
+			if (turns.length >= turnCount) {
+				break;
+			}
+		}
+	}
+
+	// Don't forget the last turn we were building
+	if (currentTurn.length > 0 && turns.length < turnCount) {
+		turns.unshift(currentTurn);
+	}
+
+	// Flatten turns back to messages and format as TSV
+	const formatted: string[] = [];
+	for (const turn of turns) {
+		for (const msg of turn) {
 			const date = (msg.date || "").substring(0, 19);
-			const user = msg.userName || msg.user;
+			const user = msg.userName || msg.user || "";
 			const text = msg.text || "";
-			const attachments = (msg.attachments || []).map((a: { local: string }) => a.local).join(",");
+			const attachments = (msg.attachments || []).map((a) => a.local).join(",");
 			formatted.push(`${date}\t${user}\t${text}\t${attachments}`);
-		} catch (error) {}
+		}
 	}
 
 	return formatted.join("\n");
@@ -96,151 +177,112 @@ function buildSystemPrompt(
 	channelId: string,
 	memory: string,
 	sandboxConfig: SandboxConfig,
+	channels: ChannelInfo[],
+	users: UserInfo[],
 ): string {
 	const channelPath = `${workspacePath}/${channelId}`;
 	const isDocker = sandboxConfig.type === "docker";
 
+	// Format channel mappings
+	const channelMappings =
+		channels.length > 0 ? channels.map((c) => `${c.id}\t#${c.name}`).join("\n") : "(no channels loaded)";
+
+	// Format user mappings
+	const userMappings =
+		users.length > 0 ? users.map((u) => `${u.id}\t@${u.userName}\t${u.displayName}`).join("\n") : "(no users loaded)";
+
 	const envDescription = isDocker
 		? `You are running inside a Docker container (Alpine Linux).
+- Bash working directory: / (use cd or absolute paths)
 - Install tools with: apk add <package>
-- Your changes persist across sessions
+- Your changes persist across sessions`
-- You have full control over this container`
 		: `You are running directly on the host machine.
-- Be careful with system modifications
+- Bash working directory: ${process.cwd()}
-- Use the system's package manager if needed`;
+- Be careful with system modifications`;
 
 	const currentDate = new Date().toISOString().split("T")[0]; // YYYY-MM-DD
 	const currentDateTime = new Date().toISOString(); // Full ISO 8601
 
-	return `You are mom, a helpful Slack bot assistant.
+	return `You are mom, a Slack bot assistant. Be concise. No emojis.
 
-## Current Date and Time
+## Context
-- Date: ${currentDate}
+- Date: ${currentDate} (${currentDateTime})
-- Full timestamp: ${currentDateTime}
+- You receive the last 50 conversation turns. If you need older context, search log.jsonl.
-- Use this when working with dates or searching logs
 
-## Communication Style
+## Slack Formatting (mrkdwn, NOT Markdown)
-- Be concise and professional
+Bold: *text*, Italic: _text_, Code: \`code\`, Block: \`\`\`code\`\`\`, Links: <url|text>
-- Do not use emojis unless the user communicates informally with you
+Do NOT use **double asterisks** or [markdown](links).
-- Get to the point quickly
-- If you need clarification, ask directly
-- Use Slack's mrkdwn format (NOT standard Markdown):
-  - Bold: *text* (single asterisks)
-  - Italic: _text_
-  - Strikethrough: ~text~
-  - Code: \`code\`
-  - Code block: \`\`\`code\`\`\`
-  - Links: <url|text>
-  - Do NOT use **double asterisks** or [markdown](links)
 
-## Your Environment
+## Slack IDs
+Channels: ${channelMappings}
+
+Users: ${userMappings}
+
+When mentioning users, use <@username> format (e.g., <@mario>).
+
+## Environment
 ${envDescription}
 
-## Your Workspace
+## Workspace Layout
-Your working directory is: ${channelPath}
+${workspacePath}/
+├── MEMORY.md                    # Global memory (all channels)
+├── skills/                      # Global CLI tools you create
+└── ${channelId}/                # This channel
+    ├── MEMORY.md                # Channel-specific memory
+    ├── log.jsonl                # Full message history
+    ├── attachments/             # User-shared files
+    ├── scratch/                 # Your working directory
+    └── skills/                  # Channel-specific tools
 
-### Directory Structure
+## Skills (Custom CLI Tools)
-- ${workspacePath}/ - Root workspace (shared across all channels)
+You can create reusable CLI tools for recurring tasks (email, APIs, data processing, etc.).
-  - MEMORY.md - GLOBAL memory visible to all channels (write global info here)
+Store in \`${workspacePath}/skills/<name>/\` or \`${channelPath}/skills/<name>/\`.
-  - ${channelId}/ - This channel's directory
+Each skill needs a \`SKILL.md\` documenting usage. Read it before using a skill.
-    - MEMORY.md - CHANNEL-SPECIFIC memory (only visible in this channel)
+List skills in global memory so you remember them.
-    - scratch/ - Your working directory for files, repos, etc.
-    - log.jsonl - Message history in JSONL format (one JSON object per line)
-    - attachments/ - Files shared by users (managed by system, read-only)
 
-### Message History Format
+## Memory
-Each line in log.jsonl contains:
+Write to MEMORY.md files to persist context across conversations.
-{
+- Global (${workspacePath}/MEMORY.md): skills, preferences, project info
-  "date": "2025-11-26T10:44:00.123Z",  // ISO 8601 - easy to grep by date!
+- Channel (${channelPath}/MEMORY.md): channel-specific decisions, ongoing work
-  "ts": "1732619040.123456",            // Slack timestamp or epoch ms
+Update when you learn something important or when asked to remember something.
-  "user": "U123ABC",                     // User ID or "bot"
-  "userName": "mario",                   // User handle (optional)
-  "text": "message text",
-  "isBot": false
-}
 
-**⚠️ CRITICAL: Efficient Log Queries (Avoid Context Overflow)**
+### Current Memory
-
-Log files can be VERY LARGE (100K+ lines). The problem is getting too MANY messages, not message length.
-Each message can be up to 10k chars - that's fine. Use head/tail to LIMIT NUMBER OF MESSAGES (10-50 at a time).
-
-**Install jq first (if not already):**
-\`\`\`bash
-${isDocker ? "apk add jq" : "# jq should be available, or install via package manager"}
-\`\`\`
-
-**Essential query patterns:**
-\`\`\`bash
-# Last N messages (compact JSON output)
-tail -20 log.jsonl | jq -c '{date: .date[0:19], user: (.userName // .user), text, attachments: [(.attachments // [])[].local]}'
-
-# Or TSV format (easier to read)
-tail -20 log.jsonl | jq -r '[.date[0:19], (.userName // .user), .text, ((.attachments // []) | map(.local) | join(","))] | @tsv'
-
-# Search by date (LIMIT with head/tail!)
-grep '"date":"2025-11-26' log.jsonl | tail -30 | jq -c '{date: .date[0:19], user: (.userName // .user), text, attachments: [(.attachments // [])[].local]}'
-
-# Messages from specific user (count first, then limit)
-grep '"userName":"mario"' log.jsonl | wc -l  # Check count first
-grep '"userName":"mario"' log.jsonl | tail -20 | jq -c '{date: .date[0:19], user: .userName, text, attachments: [(.attachments // [])[].local]}'
-
-# Only count (when you just need the number)
-grep '"isBot":false' log.jsonl | wc -l
-
-# Messages with attachments only (limit!)
-grep '"attachments":[{' log.jsonl | tail -10 | jq -r '[.date[0:16], (.userName // .user), .text, (.attachments | map(.local) | join(","))] | @tsv'
-\`\`\`
-
-**KEY RULE:** Always pipe through 'head -N' or 'tail -N' to limit results BEFORE parsing with jq!
-\`\`\`
-
-**Date filtering:**
-- Today: grep '"date":"${currentDate}' log.jsonl
-- Yesterday: grep '"date":"2025-11-25' log.jsonl
-- Date range: grep '"date":"2025-11-(26|27|28)' log.jsonl
-- Time range: grep -E '"date":"2025-11-26T(09|10|11):' log.jsonl
-
-### Working Memory System
-You can maintain working memory across conversations by writing MEMORY.md files.
-
-**IMPORTANT PATH RULES:**
-- Global memory (all channels): ${workspacePath}/MEMORY.md
-- Channel memory (this channel only): ${channelPath}/MEMORY.md
-
-**What to remember:**
-- Project details and architecture → Global memory
-- User preferences and coding style → Global memory
-- Channel-specific context → Channel memory
-- Recurring tasks and patterns → Appropriate memory file
-- Credentials locations (never actual secrets) → Global memory
-- Decisions made and their rationale → Appropriate memory file
-
-**When to update:**
-- After learning something important that will help in future conversations
-- When user asks you to remember something
-- When you discover project structure or conventions
-
-### Current Working Memory
 ${memory}
 
+## Log Queries (CRITICAL: limit output to avoid context overflow)
+Format: \`{"date":"...","ts":"...","user":"...","userName":"...","text":"...","isBot":false}\`
+The log contains user messages AND your tool calls/results. Filter appropriately.
+${isDocker ? "Install jq: apk add jq" : ""}
+
+**Conversation only (excludes tool calls/results) - use for summaries:**
+\`\`\`bash
+# Recent conversation (no [Tool] or [Tool Result] lines)
+grep -v '"text":"\\[Tool' log.jsonl | tail -30 | jq -c '{date: .date[0:19], user: (.userName // .user), text}'
+
+# Yesterday's conversation
+grep '"date":"2025-11-26' log.jsonl | grep -v '"text":"\\[Tool' | jq -c '{date: .date[0:19], user: (.userName // .user), text}'
+
+# Specific user's messages
+grep '"userName":"mario"' log.jsonl | grep -v '"text":"\\[Tool' | tail -20 | jq -c '{date: .date[0:19], text}'
+\`\`\`
+
+**Full details (includes tool calls) - use when you need technical context:**
+\`\`\`bash
+# Raw recent entries
+tail -20 log.jsonl | jq -c '{date: .date[0:19], user: (.userName // .user), text}'
+
+# Count all messages
+wc -l log.jsonl
+\`\`\`
+
 ## Tools
-You have access to: bash, read, edit, write, attach tools.
+- bash: Run shell commands (primary tool). Install packages as needed.
-- bash: Run shell commands (this is your main tool)
 - read: Read files
-- edit: Edit files surgically
 - write: Create/overwrite files  
-- attach: Share a file with the user in Slack
+- edit: Surgical file edits
+- attach: Share files to Slack
 
-Each tool requires a "label" parameter - brief description shown to the user.
+Each tool requires a "label" parameter (shown to user).
-
-## Guidelines
-- Be concise and helpful
-- Use bash for most operations
-- If you need a tool, install it
-- If you need credentials, ask the user
-
-## CRITICAL
-- DO NOT USE EMOJIS. KEEP YOUR RESPONSES AS SHORT AS POSSIBLE.
 `;
 }
 
@@ -324,7 +366,20 @@ export function createAgentRunner(sandboxConfig: SandboxConfig): AgentRunner {
 			const workspacePath = executor.getWorkspacePath(channelDir.replace(`/${channelId}`, ""));
 			const recentMessages = getRecentMessages(channelDir, 50);
 			const memory = getMemory(channelDir);
-			const systemPrompt = buildSystemPrompt(workspacePath, channelId, memory, sandboxConfig);
+			const systemPrompt = buildSystemPrompt(
+				workspacePath,
+				channelId,
+				memory,
+				sandboxConfig,
+				ctx.channels,
+				ctx.users,
+			);
+
+			// Debug: log context sizes
+			log.logInfo(
+				`Context sizes - system: ${systemPrompt.length} chars, messages: ${recentMessages.length} chars, memory: ${memory.length} chars`,
+			);
+			log.logInfo(`Channels: ${ctx.channels.length}, Users: ${ctx.users.length}`);
 
 			// Set up file upload function for the attach tool
 			// For Docker, we need to translate paths back to host
@@ -415,10 +470,13 @@ export function createAgentRunner(sandboxConfig: SandboxConfig): AgentRunner {
 					});
 				},
 				// Enqueue a message that may need splitting
-				enqueueMessage(text: string, target: "main" | "thread", errorContext: string): void {
+				enqueueMessage(text: string, target: "main" | "thread", errorContext: string, log = true): void {
 					const parts = splitForSlack(text);
 					for (const part of parts) {
-						this.enqueue(() => (target === "main" ? ctx.respond(part) : ctx.respondInThread(part)), errorContext);
+						this.enqueue(
+							() => (target === "main" ? ctx.respond(part, log) : ctx.respondInThread(part)),
+							errorContext,
+						);
 					}
 				},
 				flush(): Promise<void> {
@@ -446,7 +504,7 @@ export function createAgentRunner(sandboxConfig: SandboxConfig): AgentRunner {
 						// Log to jsonl
 						await store.logMessage(ctx.message.channel, {
 							date: new Date().toISOString(),
-							ts: Date.now().toString(),
+							ts: toSlackTs(),
 							user: "bot",
 							text: `[Tool] ${event.toolName}: ${JSON.stringify(event.args)}`,
 							attachments: [],
@@ -454,7 +512,7 @@ export function createAgentRunner(sandboxConfig: SandboxConfig): AgentRunner {
 						});
 
 						// Show label in main message only
-						queue.enqueue(() => ctx.respond(`_→ ${label}_`), "tool label");
+						queue.enqueue(() => ctx.respond(`_→ ${label}_`, false), "tool label");
 						break;
 					}
 
@@ -475,7 +533,7 @@ export function createAgentRunner(sandboxConfig: SandboxConfig): AgentRunner {
 						// Log to jsonl
 						await store.logMessage(ctx.message.channel, {
 							date: new Date().toISOString(),
-							ts: Date.now().toString(),
+							ts: toSlackTs(),
 							user: "bot",
 							text: `[Tool Result] ${event.toolName}: ${event.isError ? "ERROR: " : ""}${truncate(resultStr, 1000)}`,
 							attachments: [],
@@ -500,11 +558,11 @@ export function createAgentRunner(sandboxConfig: SandboxConfig): AgentRunner {
 
 						threadMessage += "*Result:*\n```\n" + resultStr + "\n```";
 
-						queue.enqueueMessage(threadMessage, "thread", "tool result thread");
+						queue.enqueueMessage(threadMessage, "thread", "tool result thread", false);
 
 						// Show brief error in main message if failed
 						if (event.isError) {
-							queue.enqueue(() => ctx.respond(`_Error: ${truncate(resultStr, 200)}_`), "tool error");
+							queue.enqueue(() => ctx.respond(`_Error: ${truncate(resultStr, 200)}_`, false), "tool error");
 						}
 						break;
 					}
@@ -560,14 +618,14 @@ export function createAgentRunner(sandboxConfig: SandboxConfig): AgentRunner {
 							for (const thinking of thinkingParts) {
 								log.logThinking(logCtx, thinking);
 								queue.enqueueMessage(`_${thinking}_`, "main", "thinking main");
-								queue.enqueueMessage(`_${thinking}_`, "thread", "thinking thread");
+								queue.enqueueMessage(`_${thinking}_`, "thread", "thinking thread", false);
 							}
 
 							// Post text to main message and thread
 							if (text.trim()) {
 								log.logResponse(logCtx, text);
 								queue.enqueueMessage(text, "main", "response main");
-								queue.enqueueMessage(text, "thread", "response thread");
+								queue.enqueueMessage(text, "thread", "response thread", false);
 							}
 						}
 						break;
@@ -576,12 +634,18 @@ export function createAgentRunner(sandboxConfig: SandboxConfig): AgentRunner {
 
 			// Run the agent with user's message
 			// Prepend recent messages to the user prompt (not system prompt) for better caching
+			// The current message is already the last entry in recentMessages
 			const userPrompt =
-				`Recent conversation history (last 50 messages):\n` +
+				`Conversation history (last 50 turns). Respond to the last message.\n` +
 				`Format: date TAB user TAB text TAB attachments\n\n` +
-				`${recentMessages}\n\n` +
+				recentMessages;
-				`---\n\n` +
+			// Debug: write full context to file
-				`Current message: ${ctx.message.text || "(attached files)"}`;
+			const toolDefs = tools.map((t) => ({ name: t.name, description: t.description, parameters: t.parameters }));
+			const debugPrompt =
+				`=== SYSTEM PROMPT (${systemPrompt.length} chars) ===\n\n${systemPrompt}\n\n` +
+				`=== TOOL DEFINITIONS (${JSON.stringify(toolDefs).length} chars) ===\n\n${JSON.stringify(toolDefs, null, 2)}\n\n` +
+				`=== USER PROMPT (${userPrompt.length} chars) ===\n\n${userPrompt}`;
+			await writeFile(join(channelDir, "last_prompt.txt"), debugPrompt, "utf-8");
 
 			await agent.prompt(userPrompt);
 

packages/mom/src/log.ts

@@ -160,6 +160,10 @@ export function logStopRequest(ctx: LogContext): void {
 }
 
 // System
+export function logInfo(message: string): void {
+	console.log(chalk.blue(`${timestamp()} [system] ${message}`));
+}
+
 export function logWarning(message: string, details?: string): void {
 	console.log(chalk.yellow(`${timestamp()} [system] ⚠ ${message}`));
 	if (details) {

packages/mom/src/slack.ts

@@ -19,8 +19,12 @@ export interface SlackContext {
 	message: SlackMessage;
 	channelName?: string; // channel name for logging (e.g., #dev-team)
 	store: ChannelStore;
-	/** Send/update the main message (accumulates text) */
+	/** All channels the bot is a member of */
-	respond(text: string): Promise<void>;
+	channels: ChannelInfo[];
+	/** All known users in the workspace */
+	users: UserInfo[];
+	/** Send/update the main message (accumulates text). Set log=false to skip logging. */
+	respond(text: string, log?: boolean): Promise<void>;
 	/** Replace the entire message text (not append) */
 	replaceMessage(text: string): Promise<void>;
 	/** Post a message in the thread under the main message (for verbose details) */
@@ -44,6 +48,17 @@ export interface MomBotConfig {
 	workingDir: string; // directory for channel data and attachments
 }
 
+export interface ChannelInfo {
+	id: string;
+	name: string;
+}
+
+export interface UserInfo {
+	id: string;
+	userName: string;
+	displayName: string;
+}
+
 export class MomBot {
 	private socketClient: SocketModeClient;
 	private webClient: WebClient;
@@ -51,6 +66,7 @@ export class MomBot {
 	private botUserId: string | null = null;
 	public readonly store: ChannelStore;
 	private userCache: Map<string, { userName: string; displayName: string }> = new Map();
+	private channelCache: Map<string, string> = new Map(); // id -> name
 
 	constructor(handler: MomHandler, config: MomBotConfig) {
 		this.handler = handler;
@@ -64,6 +80,113 @@ export class MomBot {
 		this.setupEventHandlers();
 	}
 
+	/**
+	 * Fetch all channels the bot is a member of
+	 */
+	private async fetchChannels(): Promise<void> {
+		try {
+			let cursor: string | undefined;
+			do {
+				const result = await this.webClient.conversations.list({
+					types: "public_channel,private_channel",
+					exclude_archived: true,
+					limit: 200,
+					cursor,
+				});
+
+				const channels = result.channels as Array<{ id?: string; name?: string; is_member?: boolean }> | undefined;
+				if (channels) {
+					for (const channel of channels) {
+						if (channel.id && channel.name && channel.is_member) {
+							this.channelCache.set(channel.id, channel.name);
+						}
+					}
+				}
+
+				cursor = result.response_metadata?.next_cursor;
+			} while (cursor);
+		} catch (error) {
+			log.logWarning("Failed to fetch channels", String(error));
+		}
+	}
+
+	/**
+	 * Fetch all workspace users
+	 */
+	private async fetchUsers(): Promise<void> {
+		try {
+			let cursor: string | undefined;
+			do {
+				const result = await this.webClient.users.list({
+					limit: 200,
+					cursor,
+				});
+
+				const members = result.members as
+					| Array<{ id?: string; name?: string; real_name?: string; deleted?: boolean }>
+					| undefined;
+				if (members) {
+					for (const user of members) {
+						if (user.id && user.name && !user.deleted) {
+							this.userCache.set(user.id, {
+								userName: user.name,
+								displayName: user.real_name || user.name,
+							});
+						}
+					}
+				}
+
+				cursor = result.response_metadata?.next_cursor;
+			} while (cursor);
+		} catch (error) {
+			log.logWarning("Failed to fetch users", String(error));
+		}
+	}
+
+	/**
+	 * Get all known channels (id -> name)
+	 */
+	getChannels(): ChannelInfo[] {
+		return Array.from(this.channelCache.entries()).map(([id, name]) => ({ id, name }));
+	}
+
+	/**
+	 * Get all known users
+	 */
+	getUsers(): UserInfo[] {
+		return Array.from(this.userCache.entries()).map(([id, { userName, displayName }]) => ({
+			id,
+			userName,
+			displayName,
+		}));
+	}
+
+	/**
+	 * Obfuscate usernames and user IDs in text to prevent pinging people
+	 * e.g., "nate" -> "n_a_t_e", "@mario" -> "@m_a_r_i_o", "<@U123>" -> "<@U_1_2_3>"
+	 */
+	private obfuscateUsernames(text: string): string {
+		let result = text;
+
+		// Obfuscate user IDs like <@U16LAL8LS>
+		result = result.replace(/<@([A-Z0-9]+)>/gi, (_match, id) => {
+			return `<@${id.split("").join("_")}>`;
+		});
+
+		// Obfuscate usernames
+		for (const { userName } of this.userCache.values()) {
+			// Escape special regex characters in username
+			const escaped = userName.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
+			// Match @username, <@username>, or bare username (case insensitive, word boundary)
+			const pattern = new RegExp(`(<@|@)?(\\b${escaped}\\b)`, "gi");
+			result = result.replace(pattern, (_match, prefix, name) => {
+				const obfuscated = name.split("").join("_");
+				return (prefix || "") + obfuscated;
+			});
+		}
+		return result;
+	}
+
 	private async getUserInfo(userId: string): Promise<{ userName: string; displayName: string }> {
 		if (this.userCache.has(userId)) {
 			return this.userCache.get(userId)!;
@@ -85,6 +208,7 @@ export class MomBot {
 
 	private setupEventHandlers(): void {
 		// Handle @mentions in channels
+		// Note: We don't log here - the message event handler logs all messages
 		this.socketClient.on("app_mention", async ({ event, ack }) => {
 			await ack();
 
@@ -96,9 +220,6 @@ export class MomBot {
 				files?: Array<{ name: string; url_private_download?: string; url_private?: string }>;
 			};
 
-			// Log the mention (message event may not fire for app_mention)
-			await this.logMessage(slackEvent);
-
 			const ctx = await this.createContext(slackEvent);
 			await this.handler.onChannelMention(ctx);
 		});
@@ -221,7 +342,9 @@ export class MomBot {
 			},
 			channelName,
 			store: this.store,
-			respond: async (responseText: string) => {
+			channels: this.getChannels(),
+			users: this.getUsers(),
+			respond: async (responseText: string, log = true) => {
 				// Queue updates to avoid race conditions
 				updatePromise = updatePromise.then(async () => {
 					if (isThinking) {
@@ -252,8 +375,10 @@ export class MomBot {
 						messageTs = result.ts as string;
 					}
 
-					// Log the response
+					// Log the response if requested
-					await this.store.logBotResponse(event.channel, responseText, messageTs!);
+					if (log) {
+						await this.store.logBotResponse(event.channel, responseText, messageTs!);
+					}
 				});
 
 				await updatePromise;
@@ -265,11 +390,13 @@ export class MomBot {
 						// No main message yet, just skip
 						return;
 					}
+					// Obfuscate usernames to avoid pinging people in thread details
+					const obfuscatedText = this.obfuscateUsernames(threadText);
 					// Post in thread under the main message
 					await this.webClient.chat.postMessage({
 						channel: event.channel,
 						thread_ts: messageTs,
-						text: threadText,
+						text: obfuscatedText,
 					});
 				});
 				await updatePromise;
@@ -343,6 +470,11 @@ export class MomBot {
 	async start(): Promise<void> {
 		const auth = await this.webClient.auth.test();
 		this.botUserId = auth.user_id as string;
+
+		// Fetch channels and users in parallel
+		await Promise.all([this.fetchChannels(), this.fetchUsers()]);
+		log.logInfo(`Loaded ${this.channelCache.size} channels, ${this.userCache.size} users`);
+
 		await this.socketClient.start();
 		log.logConnected();
 	}