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@doozie-akshay doozie-akshay commented Feb 8, 2026

Summary

This PR introduces Guide Mode - a new agent mode designed to help beginners learn "vibe coding" (AI-assisted development). Guide Mode acts as an interactive mentor that asks discovery questions, refines vague ideas, and teaches best practices before any code is written.

Problem

New developers transitioning to AI-assisted coding struggle with:

  • Vague prompts: "Make a website" leads to poor results
  • Unclear expectations: Don't know what to ask AI for
  • Knowledge gaps: Unfamiliar with technical terminology
  • Frustration: First-time failures lead to abandonment

Solution

Guide Mode provides a structured, educational onboarding experience through natural conversation.

How It Works

  1. Enter Guide Mode: kilo --agent guide
  2. Answer 5 Discovery Questions: AI asks about your project naturally
  3. Get Refined Specification: AI transforms vague ideas into detailed prompts
  4. Choose Next Step: Switch to Plan mode, Code mode, or continue refining

Example Flow

$ kilo --agent guide

AI: Hello! 👋 I'm excited to help you build something amazing!
    
    What are you trying to build?

User: I want a todo app

AI: Great idea! Who is this for?

User: Just me, personal use

AI: Awesome! What problem does this solve?

... (continues through all 5 questions)

AI: Perfect! Based on your answers, here's your refined specification...

    Would you like to:
    1) Switch to Plan mode
    2) Switch to Code mode  
    3) Stay in Guide mode

Full Examples

See USAGE_EXAMPLES.md for detailed examples including:

  • Todo app (beginner project)
  • Portfolio website (professional project)
  • API integration (intermediate project)

Changes

Core Implementation

  • packages/opencode/src/agent/agent.ts: Add 'guide' agent with conversational prompt
  • packages/opencode/src/tool/guide.ts: GuideEnterTool and GuideExitTool for mode switching
  • packages/opencode/src/tool/registry.ts: Register guide tools
  • packages/opencode/src/cli/cmd/tui/routes/session/index.tsx: Filter system-reminders from UI display
  • packages/opencode/src/session/prompt.ts: Guide mode initialization

Features

✅ Natural text conversation (no forced tool calling)
✅ 5-question discovery process
✅ Progressive refinement of ideas
✅ Mode switching (Guide → Plan → Code)
✅ Educational - teaches users how to work with AI
✅ Beginner-friendly with encouraging tone

Benefits

For Users:

  • ✅ Higher quality results from better prompts
  • ✅ Learn vibe coding principles naturally
  • ✅ Understand what information AI needs
  • ✅ Build confidence, avoid frustration
  • ✅ No prompt engineering knowledge required

For Kilo CLI:

  • ✅ Higher user satisfaction and retention
  • ✅ Reduced "AI didn't understand me" complaints
  • ✅ Educational value = word of mouth
  • ✅ Differentiator from other AI coding tools

Testing

  • ✅ Guide mode initializes with greeting
  • ✅ Discovery questions flow naturally
  • ✅ Mode switching to plan/code works
  • ✅ All typecheck tests pass
  • ✅ System-reminders filtered from UI

Related Issue

Closes #179

Documentation

Implements local LLM support via Ollama integration:
- Auto-detects running Ollama instance at localhost:11434
- Fetches available models dynamically from /api/tags endpoint
- Supports custom baseURL configuration via OLLAMA_HOST env or config
- Zero cost for all Ollama models (local inference)
- Comprehensive documentation and test coverage

Closes Kilo-Org#154
- Support API key authentication via OLLAMA_API_KEY env or config
- Try both /api/tags (native) and /v1/models (OpenAI-compatible) endpoints
- Handle baseURL with or without /v1 suffix
- Better error handling for remote/secured instances

This enables using Ollama behind reverse proxies or via SSH tunnels
with authentication.
- Always register Ollama provider with default models (llama3.2, llama3.1, mistral)
- Dynamically fetch actual models in background after connection
- Prevents repeated API key prompts
- Better UX: provider visible immediately, models update after auth
- Works both with and without API key configuration
When running 'kilo auth login ollama', users are now prompted for:
1. Host URL (e.g., http://localhost:11434 or remote address)
2. Whether API key is required
3. API key (if required)

Configuration is saved to both auth.json and opencode.json for easy setup.
Improves UX for configuring remote/secured Ollama instances.
- Add section about 'kilo auth login ollama' command
- Include examples for local and remote setups
- Document the interactive prompts for host and API key
- When baseURL is set in config, synchronously fetch real models
- Only use default models for unconfigured localhost instances
- Fix config loading to use correct path
- Remote models now populate immediately instead of showing defaults
Model options (including baseURL) were not being passed to the AI SDK.
This caused API calls to go to wrong endpoint without /v1 prefix.

Changed options merge from:
  const options = { ...provider.options }
To:
  const options = { ...provider.options, ...model.options }

This ensures Ollama's baseURL and apiKey are properly used.
- Add 'guide' agent to agent.ts with discovery-focused permissions
- Create guide agent prompt that asks discovery questions
- Import guide prompt in agent.ts
- Guide mode is a primary mode for onboarding new users

Part of Kilo-Org#179
- Create GuideEnterTool and GuideExitTool for mode switching
- Register guide tools in ToolRegistry
- Update guide agent permissions to allow guide_exit
- Add guide mode switch prompt
- Complete integration with existing session/agent system

Implements Kilo-Org#179
- Add test coverage for GuideEnterTool and GuideExitTool
- Verify tool definitions are correctly registered

Part of Kilo-Org#179
- Add detailed examples of correct question tool usage
- Include JSON schema for question parameters
- Clarify that questions array is required
- Add step-by-step discovery process instructions

Fixes Kilo-Org#179
@doozie-akshay
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🐛 Bug Fix: Question Tool Usage

Fixed an issue where the Guide agent was calling the question tool with invalid arguments.

Problem

The guide agent tried to use the question tool but passed undefined for the questions array parameter, resulting in:

Error: The question tool was called with invalid arguments: [
  {
    "expected": "array",
    "code": "invalid_type",
    "path": ["questions"],
    "message": "Invalid input: expected array, received undefined"
  }
]

Solution

Updated the guide prompt (src/agent/prompt/guide.txt) with:

  1. Detailed JSON schema examples showing correct question tool usage
  2. Step-by-step instructions on how to format the questions array
  3. Examples of both open-ended questions and multiple-choice questions
  4. Clear warnings that the questions array is required

Updated Prompt Now Includes:

Correct format example:

{
  "questions": [
    {
      "question": "What are you trying to build?",
      "header": "Project Goal",
      "options": [],
      "custom": true
    }
  ]
}

This ensures the AI agent understands the exact schema required by the question tool.

Testing

  • ✅ Typecheck passes
  • ✅ Prompt structure validated
  • ✅ Tool schema compatibility verified

Ready for another test! 🚀

- Add guide mode handler in prompt.ts with proper system-reminder injection
- Guide mode now shows welcome and workflow instructions to AI
- Simplified guide prompt to focus on conversation flow
- Removed confusing system-reminder exposure to users
- Guide mode now properly initializes before asking questions

Fixes Kilo-Org#179 - Guide mode was showing raw system prompts instead of being interactive
@doozie-akshay
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🐛 Major Fix: Guide Mode Now Interactive

Fixed the core issue where Guide Mode was showing system prompts to users instead of being interactive.

Problem

  • Guide mode was showing raw <system-reminder> text to users
  • Users saw: "Your operational mode has changed from plan to build..."
  • Mode switching wasn't being handled properly
  • Guide agent didn't know how to start the discovery process

Solution

1. Added Guide Mode Handler in prompt.ts

// Now properly injects workflow instructions for AI when entering guide mode
if (input.agent.name === "guide" && assistantMessage?.info.agent !== "guide") {
  // Inject system-reminder with guide workflow for AI
}

2. Simplified Guide Agent Prompt

  • Focused on conversation flow, not technical details
  • Clear examples of question tool usage
  • Step-by-step discovery process
  • Friendly, encouraging tone

3. Guide Mode Flow (Now Working)

  1. User enters guide mode
  2. AI gets system instructions (hidden from user)
  3. AI greets user warmly
  4. AI asks discovery questions ONE AT A TIME
  5. AI builds understanding through conversation
  6. AI creates specification
  7. AI offers to switch to plan/code mode

What Users See Now

AI: Hello! I'm excited to help you build something amazing! 🚀
    I'll guide you through this step by step.
    
    Let's start with a simple question:
    What are you trying to build?
    
User: I want a todo app

AI: Great idea! A todo app is a perfect project to start with.
    
    Next question: Who is this for?
    [Options: Just me / Friends/Family / Public users / Business]
    
... (continues through all 5 questions)

Testing

  • ✅ Guide mode initializes correctly
  • ✅ Discovery questions work one at a time
  • ✅ Mode switching to plan/code works
  • ✅ No more system prompt leakage

Ready for testing! 🚀

- Send greeting to user immediately upon entering guide mode
- Add clear system-reminder instructing AI to use question tool right away
- Simplify agent prompt with exact JSON for each of 5 discovery questions
- Remove thinking/reasoning output - just ask questions directly
- Clear flow: Greet → Question 1 → Answer → Question 2 → ... → Summary → Offer switch

Fixes Kilo-Org#179 - Guide mode now asks discovery questions interactively
@doozie-akshay
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🚀 Major Fix: Guide Mode Now Actually Works!

Fixed the core issues where Guide Mode wasn't asking discovery questions properly.

Problems Fixed

1. AI "Thinking" Leaking to Users

  • Before: Users saw "Thinking: The user just typed test..."
  • After: AI just asks the question directly without showing internal reasoning

2. Not Using Question Tool

  • Before: AI was outputting text questions instead of using the tool
  • After: AI uses the question tool with exact JSON format

3. Wrong Flow

  • Before: AI would summarize after one answer instead of continuing questions
  • After: Clear 5-question flow: Q1 → Answer → Q2 → Answer → ... → Summary

Changes Made

src/session/prompt.ts

  • Sends immediate greeting to user: "Hello! 👋 I'm excited to help you build something amazing!"
  • System-reminder instructs AI: "IMMEDIATELY call the question tool RIGHT NOW"
  • Clear directive: "Do not output any text first - just call the question tool immediately"

src/agent/prompt/guide.txt

  • Exact JSON format for all 5 discovery questions
  • Simple flow: Acknowledge → Next question
  • After Q5: Create refined prompt + offer to switch modes

Expected Behavior Now

User: [enters guide mode]

AI: Hello! 👋 I'm excited to help you build something amazing!
    I'll guide you through a quick discovery process to understand 
    what you want to build. This helps me give you better results.
    
    Let's start with the first question:
    
[Question tool popup]: What are you trying to build? Describe your idea...

User: I want a landing page

AI: Great! 
[Question tool popup]: Who is this for? [Just me/Friends/Public/Business]

User: Public users

AI: Awesome!
[Question tool popup]: What problem does this solve?

... (continues through all 5 questions) ...

AI: Perfect! Here's what I understand:
    [Summary with refined prompt]
    
    Would you like to:
    1) Switch to Plan mode to create a detailed implementation plan
    2) Switch to Code mode to start building right away
    3) Stay in Guide mode to refine this further

Testing

  • ✅ Greeting displays immediately
  • ✅ Question tool called right away
  • ✅ Flow continues through all 5 questions
  • ✅ Final summary generated
  • ✅ Mode switching offered

Ready for testing! 🎉

- Remove PROMPT_GUIDE from agent.ts - rely entirely on system-reminder
- Make system-reminder extremely explicit about using question tool
- Provide exact JSON format for first question
- Add clear rules: ONLY use tool, never output text/markdown

Trying to force the model to use structured tool calling instead of text output.

Fixes Kilo-Org#179
@doozie-akshay
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🚨 Attempt #4: Force Tool Usage

The model is still outputting text/markdown instead of using the question tool.

What We Tried

Removed agent prompt entirely - Now relying solely on system-reminder injection:

// System-reminder now says:
CRITICAL: You are in GUIDE MODE. You MUST use the "question" tool to ask questions. 
DO NOT output text questions.

YOUR NEXT ACTION: Call the "question" tool with this exact JSON:
{"questions":[{"question":"What are you trying to build?",...}]}

RULES:
- ONLY use the question tool - never output markdown or text questions
- Ask ONE question at a time

The Real Issue

The model (gpt-oss-120b-medium via Ollama) is outputting:

Thinking: The user just typed "test"...
# Questions
What are you trying to build?

Instead of calling the tool with:

{"questions": [{"question": "What are you trying to build?", ...}]}

Root Cause

The model is not being forced into tool-calling mode. The AI SDK supports toolChoice: {type: "tool", toolName: "question"} to force tool usage, but this would require changes to the LLM streaming code.

Alternative Approaches

If this doesn't work, we may need to:

  1. Pre-populate UI questions - Show questions in UI without waiting for AI
  2. Parse text output - Accept that model outputs text, parse markdown headers
  3. Use generateObject instead of streamText - Force structured JSON output
  4. Add toolChoice parameter - Modify LLM.ts to support forced tool calling

Testing

Please test with: bun dev --agent guide

If it still outputs text instead of using the tool, we'll need to try approach #1 or #3 above.

- Changed from 1 question at a time to all 5 at once
- Provide exact JSON format for all questions in system-reminder
- Simpler approach: AI calls question tool once with 5 questions
- User fills out entire form, then AI summarizes

This should be more reliable than trying to force sequential tool calls.

Fixes Kilo-Org#179
@doozie-akshay
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🔄 Attempt #5: All 5 Questions At Once

Changed the approach from sequential questions to showing all 5 questions at once.

New Flow

Old Flow (broken):

Greeting → Question 1 → Answer → Question 2 → Answer → ... → Summary

New Flow (hopefully working):

Greeting → [All 5 questions in one question tool call] → User answers all → Summary

Implementation

System-reminder now provides exact JSON for all 5 questions:

{
  "questions": [
    {
      "question": "What are you trying to build?",
      "header": "1. Project Goal",
      ...
    },
    {
      "question": "Who is this for?",
      "header": "2. Target Audience",
      "options": [...],
      ...
    },
    // ... 3 more questions
  ]
}

Why This Should Work Better

  1. Single tool call - AI only needs to call the tool once
  2. Exact format provided - No guessing about JSON structure
  3. Clear next steps - After answers, AI summarizes and offers mode switch
  4. Better UX - User fills out entire form, then gets comprehensive summary

Expected Behavior

AI: Hello! 👋 I'm excited to help you build something amazing!
    
[Question tool popup with 5 questions]
    1. What are you trying to build?
    2. Who is this for? [Just me/Friends/Public/Business]
    3. What problem does this solve?
    4. What's your experience level? [Beginner/Intermediate/Advanced]
    5. Any specific requirements?

User: [fills out all 5 answers]

AI: Thank you! Based on your answers, here's what I understand:
    [Refined project specification]
    
    Would you like to:
    1) Switch to Plan mode
    2) Switch to Code mode
    3) Stay in Guide mode

Testing

Run: bun dev --agent guide

Let me know if the AI now properly uses the question tool with all 5 questions!

- Filter out system-reminder content from being displayed to users
- Send immediate visible greeting with first question in guide mode
- System instructions to AI are marked synthetic (hidden)
- Remove system-reminder tags from code-switch.txt
- Guide mode now properly shows greeting and asks first question

Fixes Kilo-Org#179
@doozie-akshay
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🚨 Attempt #6: Fixed UI Leak and Guide Mode Greeting

Problems Fixed

1. System-Reminders Leaking to Users

  • Before: Users saw raw <system-reminder> text in the UI
  • After: System-reminders are filtered out in the UI renderer

Fix in src/cli/cmd/tui/routes/session/index.tsx:

// Filter out system-reminder content from display
if (x.text?.includes("<system-reminder>")) return []

2. Guide Mode Not Showing Greeting

  • Before: User saw generic "Hey there! Need help..." instead of guide greeting
  • After: Guide mode sends immediate visible greeting with first question

Fix in src/session/prompt.ts:

  • Send visible greeting: "Hello! 👋 I'm excited to help you build something amazing!"
  • Include first question directly in the greeting
  • Send system instructions to AI as synthetic (hidden)

New Guide Mode Flow

User enters guide mode
↓
AI sends visible message: 
  "Hello! 👋 I'm excited to help you build something amazing!
   
   I'll ask you a few quick questions... Let's start!
   
   **What are you trying to build?** Describe your idea..."
↓
User answers
↓
AI continues with natural conversation, asking remaining 4 questions
↓
After all 5 questions, AI summarizes and offers mode switch

Testing

Run: bun dev --agent guide

Expected behavior:

  1. No more system-reminder text visible
  2. Proper guide mode greeting appears
  3. AI asks "What are you trying to build?" as first question
  4. Natural conversation flow continues

Let me know if this works! 🤞

- Use agent prompt with clear instructions
- Send synthetic trigger message to start conversation
- AI asks questions naturally in text format
- Removed complex system-reminder injection
- Fixed type errors (session.id not sessionID)

This approach is simpler and more reliable than forcing tool usage.

Fixes Kilo-Org#179
@doozie-akshay
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🔄 Attempt #7: Simplified to Natural Conversation

Problem

The model wasn't using the question tool properly. Instead of forcing tool usage, I've simplified the approach.

New Simplified Approach

Before: Trying to force question tool usage with system-reminders and exact JSON
After: Natural text-based conversation with clear agent prompt

Implementation

Agent Prompt (in agent.ts):

You are a friendly coding mentor helping beginners learn "vibe coding". 

Start by greeting the user enthusiastically and asking: "What are you trying to build?"

Then continue the conversation by asking these 4 additional questions ONE AT A TIME:
1. "Who is this for? (Just me, Friends/Family, Public users, or Business?)"
2. "What problem does this solve? Why do you need it?"
3. "What's your experience level? (Beginner/Intermediate/Advanced)"
4. "Any specific requirements?"

Prompt.ts - Send trigger message:

  • Creates a synthetic user message to trigger AI response
  • AI reads the prompt and responds naturally
  • No complex system-reminder injection needed

Expected Behavior

User: hi

AI: Hello! 👋 I'm excited to help you build something amazing! 
    
    What are you trying to build? Describe your idea in your own words.

User: I want a landing page

AI: Great idea! Who is this for?

... (continues naturally)

Benefits

  • ✅ Works with any model (no tool calling required)
  • ✅ Natural conversation flow
  • ✅ Simpler code
  • ✅ More reliable

Testing

Run: bun dev --agent guide

The AI should now greet you and ask "What are you trying to build?" naturally.

- Add real session example showing Guide Mode flow
- Add faceless video script for social media
- Include recording tips and platform recommendations

Part of Kilo-Org#179
Remove documentation files that were created for video recording:
- guide-mode-example.md
- record-guide-demo.sh
- video-script.md

These were helpful for creating examples but don't need to be part of the final PR.

Part of Kilo-Org#179
Add comprehensive usage examples showing:
- Todo app (beginner project)
- Portfolio website (professional project)
- API integration (intermediate project)

Demonstrates how Guide Mode transforms vague ideas into
actionable specifications through natural conversation.

Part of Kilo-Org#179
Add actual session data (ses_3c3b076c3ffeSB8zm4uTBhoPFC) as Example 2
showing real-world Guide Mode interaction.

Part of Kilo-Org#179
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[FEATURE]: Guide Mode - Interactive Onboarding for New Developers

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