chore(agent): remove unused checkpoint messages and advanced model constants

Author: tonyhu-012

entrypoints/settings/components/DebugSettings/index.vue

@@ -274,15 +274,6 @@
                 class="border-b border-gray-200 h-5 w-20"
               />
             </div>
-            <div class="flex gap-3 justify-start items-center">
-              <div>Max iterations for <span class="font-light">{{ ADVANCED_MODELS_FOR_AGENT.join(',') }}</span></div>
-              <Input
-                v-model.number="maxAgentIterationsForAdvancedModels"
-                type="number"
-                min="0"
-                class="border-b border-gray-200 h-5 w-20"
-              />
-            </div>
             <div class="flex gap-3 justify-start items-center">
               <Block title="Full environment details update frequency">
                 <div class="font-light text-xs">
@@ -607,7 +598,7 @@ import Button from '@/components/ui/Button.vue'
 import UILanguageSelector from '@/components/UILanguageSelector.vue'
 import { BrowserSession } from '@/entrypoints/sidepanel/utils/chat/tool-calls/utils/browser-use'
 import { SettingsScrollTarget } from '@/types/scroll-targets'
-import { ADVANCED_MODELS_FOR_AGENT, INVALID_URLS } from '@/utils/constants'
+import { INVALID_URLS } from '@/utils/constants'
 import { formatSize } from '@/utils/formatter'
 import { SUPPORTED_MODELS, WebLLMSupportedModel } from '@/utils/llm/web-llm'
 import logger from '@/utils/logger'
@@ -642,7 +633,6 @@ const enableTranslationCache = userConfig.translation.cache.enabled.toRef()
 const cacheRetentionDays = userConfig.translation.cache.retentionDays.toRef()
 
 const maxAgentIterations = userConfig.chat.agent.maxIterations.toRef()
-const maxAgentIterationsForAdvancedModels = userConfig.chat.agent.maxIterationsForAdvancedModels.toRef()
 const updateEnvironmentDetailsFrequency = userConfig.chat.environmentDetails.fullUpdateFrequency.toRef()
 const defaultFirstTokenTimeout = userConfig.llm.defaultFirstTokenTimeout.toRef()
 

entrypoints/sidepanel/utils/agent/constants.ts

@@ -7,43 +7,6 @@ export const AGENT_INITIAL_GUIDANCE = new TagBuilder('initial_guidance').insertC
 
 Most detailed questions require Layer 1 information. Surface information is rarely sufficient.`)
 
-export const AGENT_CHECKPOINT_MESSAGES: Record<number, TagBuilder> = {
-  2: new TagBuilder('checkpoint_1').insertContent(`FIRST ACTION COMPLETE. Now assess your progress:
-- Did you identify where the detailed information lives on this page?
-- Can you see clickable elements that lead to the information the user needs?
-- If yes to both: Your next 2-3 actions should be clicking those elements.
-- If no: You may need to look elsewhere or search online.
-
-Remember: Surface viewing (Layer 0) is just the beginning, not the end.
-Most user questions require Layer 1 information behind clicks.`),
-
-  4: new TagBuilder('checkpoint_3').insertContent(`THIRD ITERATION. Progress check:
-- Have you moved from surface (Layer 0) to deep (Layer 1) information?
-- Are you clicking on information-rich elements or just browsing around?
-- Is your information getting more complete or are you wandering aimlessly?
-
-Critical reminder: If user asked about specific content (comments, details, analysis), 
-you MUST access that actual content, not just see that it exists.
-Click on relevant elements that contain the information needed.`),
-
-  6: new TagBuilder('checkpoint_5').insertContent(`FIFTH ITERATION. Strategy review:
-- List what concrete information you've learned so far
-- List what you still don't know but need to know
-- If gaps remain, identify exactly which elements to click next
-- If information is complete, prepare to provide your final answer
-
-Key question: Can you fully answer the user's question with your current information?
-If NO: Continue clicking on relevant elements. If YES: Provide comprehensive answer.`),
-
-  8: new TagBuilder('checkpoint_7').insertContent(`APPROACHING ITERATION LIMIT. Final push needed:
-- You have only 3 more attempts remaining
-- Focus on the most critical missing information gaps
-- Click on the most promising unexplored elements that likely contain needed info
-- After 2 more iterations, you must provide the best answer possible with available data
-
-Stop exploring only if: no more relevant clickable elements OR information is truly complete.`),
-}
-
 export const AGENT_TOOL_CALL_RESULT_GUIDANCE = `Based on the tool results above, follow your self-assessment protocol:
 
 - Analyze the results before taking further action.

entrypoints/sidepanel/utils/agent/index.ts

@@ -18,7 +18,7 @@ import { renderPrompt, TagBuilder, TextBuilder, UserPrompt } from '@/utils/promp
 
 import { ReactiveHistoryManager } from '../chat'
 import { streamTextInBackground } from '../llm'
-import { AGENT_CHECKPOINT_MESSAGES, AGENT_FORCE_FINAL_ANSWER, AGENT_INITIAL_GUIDANCE, AGENT_TOOL_CALL_RESULT_GUIDANCE } from './constants'
+import { AGENT_FORCE_FINAL_ANSWER, AGENT_INITIAL_GUIDANCE, AGENT_TOOL_CALL_RESULT_GUIDANCE } from './constants'
 import { AgentStorage } from './strorage'
 
 type AgentToolCallHandOffResult = {
@@ -258,8 +258,6 @@ export class Agent<T extends PromptBasedToolName> {
     if (iteration === 1) return `${originalUserMessage}\n\n${AGENT_INITIAL_GUIDANCE.build()}`
     const textBuilder = new TextBuilder(`${originalUserMessage}`)
     if (toolResults) textBuilder.insertContent(toolResults)
-    const checkPointMessageBuilder = AGENT_CHECKPOINT_MESSAGES[iteration]
-    if (checkPointMessageBuilder) textBuilder.insertContent(checkPointMessageBuilder.build())
     textBuilder.insertContent(AGENT_TOOL_CALL_RESULT_GUIDANCE)
     return textBuilder.build()
   }

entrypoints/sidepanel/utils/chat/chat.ts

@@ -5,7 +5,6 @@ import { type Ref, ref, toRaw, toRef, watch } from 'vue'
 import type { ActionMessageV1, ActionTypeV1, ActionV1, AgentMessageV1, AgentTaskGroupMessageV1, AgentTaskMessageV1, AssistantMessageV1, ChatHistoryV1, ChatList, HistoryItemV1, TaskMessageV1, UserMessageV1 } from '@/types/chat'
 import { ContextAttachmentStorage } from '@/types/chat'
 import { nonNullable } from '@/utils/array'
-import { ADVANCED_MODELS_FOR_AGENT } from '@/utils/constants'
 import { debounce } from '@/utils/debounce'
 import { AbortError, AppError } from '@/utils/error'
 import { useGlobalI18n } from '@/utils/i18n'
@@ -558,8 +557,7 @@ export class Chat {
 
   private async runWithAgent(baseMessages: CoreMessage[]) {
     const userConfig = await getUserConfig()
-    const isAdvancedModel = ADVANCED_MODELS_FOR_AGENT.some((model) => model.test(userConfig.llm.model.get() ?? ''))
-    const maxIterations = isAdvancedModel ? userConfig.chat.agent.maxIterationsForAdvancedModels.get() : userConfig.chat.agent.maxIterations.get()
+    const maxIterations = userConfig.chat.agent.maxIterations.get()
 
     const agent = new Agent({
       historyManager: this.historyManager,

utils/constants.ts

@@ -17,7 +17,6 @@ export const MIN_CONTEXT_WINDOW_SIZE = 512
 export const FEEDBACK_EMAIL = 'hi@nativemind.app'
 export const PROMPT_MAX_PAGE_CONTENT_LENGTH = 1000
 export const MODELS_NOT_SUPPORTED_FOR_STRUCTURED_OUTPUT = [/gpt-oss/]
-export const ADVANCED_MODELS_FOR_AGENT = [/gpt-oss/, /qwen3/]
 export const CONTENT_UI_SHADOW_ROOT_NAME = 'nativemind-container'
 export const AGENT_LOOP_COUNT_REFILL_USER_PROMPT = 6 // refill the original user question if agent loop count exceeds this value to avoid context loss
 

utils/user-config/index.ts

@@ -114,7 +114,6 @@ export async function _getUserConfig() {
     chat: {
       agent: {
         maxIterations: await new Config('chat.agent.maxIterations').default(5).build(),
-        maxIterationsForAdvancedModels: await new Config('chat.agent.maxIterationsForAdvancedModels').default(10).build(),
       },
       environmentDetails: {
         fullUpdateFrequency: await new Config('chat.environmentDetails.fullUpdateFrequency').default(10).build(), // update full environment details every 5 messages