Memorization prompt tightening

package.json

@@ -1,6 +1,6 @@
 {
 	"name": "@ztimson/ai-utils",
-	"version": "1.6.13",
+	"version": "1.7.1",
 	"description": "AI Utility library",
 	"author": "Zak Timson",
 	"license": "MIT",

src/llm.ts

@@ -19,6 +19,13 @@ const PDF_OCR_PAGE_THRESHOLD = 12; // above this many pages, OCR scanned pages i
 export type AnthropicConfig = {proto: 'anthropic', token: string | string[]};
 export type OpenAiConfig = {proto: 'openai', host?: string, token: string | string[]};
 
+export type AgentRef = {
+	name: string;
+	description?: string;
+	delegate?: boolean;
+	fn: () => Agent | null | Promise<Agent | null>;
+}
+
 export type Agent = {
 	name: string;
 	description?: string;
@@ -29,7 +36,7 @@ export type Agent = {
 	skills?: Skill[] | null;
 	tools?: AiTool[] | null;
 	mcp?: McpServer[] | null;
-	agents?: string[] | null;
+	agents?: AgentRef[] | null;
 }
 
 export type LLMFile = {
@@ -106,8 +113,8 @@ export type LLMRequest = {
 	skills?: Skill[];
 	/** MCP servers to connect and expose as tools */
 	mcp?: McpServer[];
-	/** Subagents exposed as delegatable/wrapped tools */
-	agents?: Agent[];
+	/** Subagents exposed as delegatable/wrapped tools, resolved lazily via their `fn` */
+	agents?: AgentRef[];
 	/** Attach files to request */
 	files?: LLMFile[];
 	/** @internal recursion guard for nested agent delegation */
@@ -265,22 +272,21 @@ class LLM {
 		};
 	}
 
-	private setupAgent(agents: Agent[] = [], allAgents: Agent[], history: LLMMessage[], aborts: ((keep?: boolean) => void)[], depth = 0, delegateState: {resp: string | null}): AiTool[] {
-		return agents.map(a => {
-			const toolName = `${a.delegate ? '' : 'sub'}agent_${snakeCase(a.name)}`;
+	private setupAgent(stubs: AgentRef[] = [], history: LLMMessage[], aborts: ((keep?: boolean) => void)[], depth = 0, delegateState: {resp: string | null}): AiTool[] {
+		return stubs.map(stub => {
+			const toolName = `${stub.delegate ? '' : 'sub'}agent_${snakeCase(stub.name)}`;
 			return {
 				name: toolName,
-				description: `${a.delegate ? 'Delegate to ' : ''}Subagent: ${a.description || a.name}`,
+				description: `${stub.delegate ? 'Delegate to ' : ''}Subagent: ${stub.description || stub.name}`,
 				args: clean<any>({
-					context: !a.delegate ? {type: 'string', description: 'Summary of related messages, samples, files, etc...', required: true} : undefined,
+					context: !stub.delegate ? {type: 'string', description: 'Summary of related messages, samples, files, etc...', required: true} : undefined,
 					instructions: {type: 'string', description: 'Detailed instructions for subagent to complete', required: true},
 				}),
 				fn: async (args: any, stream: any, ai: any, id?: string) => {
 					if(depth >= MAX_AGENT_DEPTH) return 'Max agent delegation depth exceeded';
 
-					const nested = (a.agents || [])
-						.map(name => allAgents.find(x => x.name === name))
-						.filter((x): x is Agent => !!x && x.name !== a.name);
+					const a = await stub.fn();
+					if(!a) return `Agent "${stub.name}" could not be resolved`;
 
 					const q = a.delegate ? '' : `${args.instructions}${args.context ? `\n\n<context>${args.context}</context>` : ''}`;
 
@@ -297,7 +303,7 @@ ${a.system}`,
 						mcp: a.mcp || undefined,
 						skills: a.skills || undefined,
 						tools: a.tools || undefined,
-						agents: nested,
+						agents: a.agents || [],
 						_agentDepth: depth + 1,
 					} as any);
 					aborts.push(request.abort);
@@ -451,7 +457,7 @@ ${a.system}`,
 			// Agents
 			const agents = options.agents || this.ai.options?.llm?.agents;
 			const delegateState: {resp: string | null} = {resp: null};
-			if(agents?.length) tools.push(...this.setupAgent(agents, agents, history, nestedAborts, options._agentDepth || 0, delegateState));
+			if(agents?.length) tools.push(...this.setupAgent(agents, history, nestedAborts, options._agentDepth || 0, delegateState));
 
 			// Memory
 			const mem = MemoryManager.normalize(options.memory);

src/memory.ts

@@ -340,22 +340,22 @@ Think of this like an Obsidian vault with a clear division of responsibility:
 - A chronological, skimmable log of what actually happened: real discussions, decisions made, progress on projects, problems worked through
 - This is NOT a transcript, and it is NOT a step-by-step record, its a compressed log of notable events & developments
 - One line per development is usually enough: what was worked on and the outcome, not the blow-by-blow of how
-- Skip small talk and trivial exchanges entirely. Skip anything that's purely a todo item (goes in Todo Tasks) or a durable fact about a subject (goes in Entity Dossiers)
+- Skip small talk and trivial exchanges entirely. Skip anything that's a todo item (goes in Todo Tasks) or a durable fact about a subject (goes in Entity Dossiers)
 
 2. Todo Tasks
 - Extract concrete tasks the user says need to be done, should be done, or were completed
 - Return the task text and whether it is still todo or is done
 - A completed task should be marked done, not recreated as a new todo
-- Only extract actionable tasks, not general goals or observations
+- Only extract actionable tasks, not general goals or observations, if none - omit returning a tasks array
 - Assign each task a subject:
     - If the task belongs to a persistent entity (a project, a class, etc.), use that entity's exact node name, or a new entity path if it doesn't exist yet
     - If it's a personal/life task with no entity of its own (reach out to someone, reply to an email, pay a bill, etc.), leave subject as an empty string — it belongs in the journal, not a new document
 
 3. Entity Dossiers
-- Detailed dossiers with all information regarding a subject
+- Detailed dossiers with all factual information regarding a subject
 - Record the final/end state, not intermediate changes
 - Ignore assistant claims, guesses, greetings, or temporary details
-- NEVER create a document for something that's only meaningful as a point in time — a single conversation, a one-off decision, a debugging session, a date. That's a journal entry, not an entity
+- NEVER create a dossier for something I wouldnt find in a wiki site: temporary information, debugging, guesses, conversations (this is all journal entry stuff!)
 - identify its HOME ENTITY:
     - The HOME ENTITY name should always be a [abstract|pro]noun
     - The grammatical subject/owner of the fact is the strongest clue
@@ -379,9 +379,9 @@ Available nodes:
 ${this.listNodes(store.list).map(n => `- ${n.name}: ${n.description}`).join('\n') || 'None yet.'}
 ${ghosts.length ? `${ghosts.map(g => `- ${g}: (Ghost)`).join('\n')}` : ''}`,
 			schema: {
-				journal: {type: 'string', description: 'Short day-to-day recap; empty if nothing happened.', required: false},
+				journal: {type: 'string', description: 'Short bullet point recap, omit if nothing notable happened'},
 				tasks: {
-					type: 'array', description: 'Concrete tasks mentioned or completed in the conversation.', required: false, items: {
+					type: 'array', description: 'Concrete tasks mentioned or completed in the conversation, omit if none', items: {
 						type: 'object', items: {
 							subject: {type: 'string', description: 'Exact node name / new persistent entity path this task belongs to, or an empty string if this is a personal task with no entity of its own (those go in the journal)', required: true},
 							task: {type: 'string', description: 'Concise actionable task', required: true},
@@ -390,7 +390,7 @@ ${ghosts.length ? `${ghosts.map(g => `- ${g}: (Ghost)`).join('\n')}` : ''}`,
 					}
 				},
 				buckets: {
-					type: 'array', description: 'Groups of facts to remember; empty array if nothing worth storing.', items: {
+					type: 'array', description: 'Groups of facts to remember; omit if none', items: {
 						type: 'object', items: {
 							subject: {type: 'string', description: 'Exact node name or new persistent entity path', required: true},
 							facts: {type: 'array', description: 'Facts to store here', items: {type: 'string'}},