fix: small fixes

index.ts

@@ -25,7 +25,7 @@ nodemon.once('start', () => {
 	log.info('Restarting the Cat...')
 }).on('quit', () => {
 	log.info('Stopping the Cat...')
-	deleteTempFiles('./src', f => f.startsWith('tmp_') && f.endsWith('.ts'))
+	deleteTempFiles('./src')
 	process.exit()
 }).on('error', (err) => {
 	log.error(err)
@@ -35,11 +35,11 @@ process.on('SIGINT', () => {
 	nodemon.emit('quit')
 })
 
-function deleteTempFiles(path: string, check: (str: string) => boolean) {
+function deleteTempFiles(path: string) {
 	readdirSync(path).forEach((file) => {
 		const filePath = join(path, file)
 		const isDirectory = statSync(filePath).isDirectory()
-		if (isDirectory) deleteTempFiles(filePath, check)
-		else if (check(file)) unlinkSync(filePath)
+		if (isDirectory) deleteTempFiles(filePath)
+		else if (file.startsWith('tmp_') && file.endsWith('.ts')) unlinkSync(filePath)
 	})
 }

src/looking_glass/agent-manager.ts

@@ -23,10 +23,12 @@ import { NewTokenHandler } from './callbacks.ts'
  * before feeding them to the Agent. It also instantiates the Langchain Agent.
  */
 export class AgentManager {
-	private verboseRunnable = new RunnableLambda({ func: (x) => {
-		if (parsedEnv.verbose) log.info(JSON.stringify(x))
-		return x
-	} })
+	private verboseRunnable = new RunnableLambda({
+		func: (x) => {
+			if (parsedEnv.verbose) log.info(JSON.stringify(x))
+			return x
+		},
+	})
 
 	async executeProceduresChain(agentInput: ContextInput, chatHistory: string, stray: StrayCat) {
 		let recalledProcedures = stray.workingMemory.procedural.filter((p) => {
@@ -66,7 +68,7 @@ export class AgentManager {
 			tools: allowedTools.map(p => ` - "${p.name}": ${p.description}`).join('\n'),
 			tool_names: Object.keys(allowedProcedures).map(p => `"${p}"`).join(', '),
 			chat_history: chatHistory,
-			agent_scratchpad: '',
+			scratchpad: '',
 			examples,
 		})
 
@@ -79,7 +81,7 @@ export class AgentManager {
 		}
 
 		const agent = RunnablePassthrough.assign({
-			agent_scratchpad: x => generatedScratchpad((x.intermediateSteps ?? []) as AgentStep[]),
+			scratchpad: x => generatedScratchpad((x.intermediateSteps ?? []) as AgentStep[]),
 		}).pipe(prompt).pipe(this.verboseRunnable).pipe(stray.currentLLM).pipe(new ProceduresOutputParser())
 
 		const agentExecutor = AgentExecutor.fromAgentAndTools({

src/looking_glass/prompts.ts

@@ -76,7 +76,7 @@ When you have a final answer (or no actions are relevant), use the following for
 {chat_history}
 
 ## Actions sequence used until now
-{agent_scratchpad}
+{scratchpad}
 
 ## Next action to perform or final_answer:
 `

src/looking_glass/stray-cat.ts

@@ -6,7 +6,6 @@ import { destr } from 'destr'
 import { type PluginManifest, madHatter } from '@mh'
 import { log } from '@logger'
 import { rabbitHole } from '@rh'
-import type { ChainValues } from '@langchain/core/utils/types'
 import type { MemoryMessage, MemoryRecallConfigs, Message, WSMessage, WorkingMemory } from '@dto/message.ts'
 import type { AgentFastReply } from '@dto/agent.ts'
 import { NewTokenHandler } from './callbacks.ts'