Aether ab bilkul human assistant ki tarah baat karta hai - har step pe communication, clarification, aur confirmation.
Complex requests ko automatically steps me divide karta hai:
USER: "Bug bounty chalu karo"
AETHER: "Boss, bug bounty hunting ka complete workflow:
1. BurpSuite setup
2. Program selection (HackerOne/Bugcrowd)
3. Target configure
4. Testing start
Pehla step start karu?"
Har action ke baad status update:
AETHER: "BurpSuite khul gaya! Dashboard ready hai.
Ab next step kya hai - proxy setup ya target select?"
Missing information ke liye intelligent questions:
USER: "Bug bounty karo"
AETHER: "Boss kis program par? HackerOne, Bugcrowd ya specific target?"
Findings dikhata hai aur confirm karta hai:
AETHER: "3 programs mile:
1. Tesla - $15k (moderate)
2. Apple - $100k (tough)
3. Uber - $10k (easy)
Kis par karu testing?"
User ke corrections yaad rakhta hai:
USER: "Are maine already bataya Firefox proxy ready hai"
AETHER: "Sorry Boss, bhul gaya. Ab yaad rakhunga!"
Errors me solutions provide karta hai:
AETHER: "Boss, connection fail ho raha. Reasons:
- Internet issue?
- Target down hai?
- VPN chahiye?
Kya try karu?"
Dangerous operations se pehle poochta hai:
AETHER: "Boss, active scan aggressive hai.
Website slow ho sakti hai. Confirm karo?"
Current state ke basis par next steps suggest karta hai:
AETHER: "Setup complete! Mere suggestion:
1. Pehle passive crawl
2. Phir vulnerability scan
Thik hai?"
Previous conversation yaad rakhta hai - repeat nahi karta:
[Turn 1] USER: "Firefox me proxy hai"
[Turn 2] AETHER: [Won't ask about proxy again]
Long conversations me track karta hai kya ho raha hai
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TURN 1: Initial Request
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USER: "Bug bounty start karo"
AETHER: "Boss, bug bounty ka complete workflow:
1. BurpSuite setup
2. Program selection
3. Target configure
4. Proxy & Intercept
5. Testing
Pehla step - BurpSuite kholu?"
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TURN 2: Execution & Report
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USER: "Ha kholo"
AETHER: "Achha Boss, khol raha hoon..."
Action: [OPEN: burpsuite]
Action: [LOOK: checking]
"BurpSuite khul gaya! Project screen dikh raha.
Temporary project banau (quick) ya new project?"
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TURN 3: Next Step with Context
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USER: "Temporary thik hai"
AETHER: "Samajh gaya..."
Action: [CLICK: temporary]
"Project ready! Dashboard pe aa gaye.
Ab HackerOne se high-paying programs dhoondu?"
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TURN 4: Results + Options
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USER: "Ha dekho"
AETHER: "Programs search kar raha hoon..."
"Boss, top 5 mile:
1. Apple - $100k (tough)
2. Tesla - $15k (moderate)
3. Uber - $10k (easy)
Kis par testing karu?"
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TURN 5: Configuration with Memory
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USER: "Tesla pe karo"
AETHER: "Perfect! Tesla select kar raha hoon.
Target: *.tesla.com
Scope: Web + Mobile apps
Browser proxy setup hai ya karu?"
USER: "Firefox me hai already"
AETHER: "Useful info! Proxy ready hai samajh gaya.
Sirf FoxyProxy enable kar deta hoon..."
Action: [CLICK: FoxyProxy]
"Done! Traffic aa rahi hai BurpSuite me.
Intercept on karu ya passive crawl?"
USER: Command
AETHER: "Achha Boss..." → Action → "Done! Next kya?"
USER: Vague request
AETHER: Clarification questions → Gets info → Remembers → Proceeds
AETHER: Shows options → User picks → Executes with context
Error happens → "Boss ye problem hai" → Options → "Kya karu?"
prompt_engine.py- Added advanced conversational promptsbulletproof_prompts.py- Enhanced with conversation patternsconversation_state.py- NEW: State tracking systemrequirements.txt- Added pywinauto for UI automation
- ✅ Context-aware responses
- ✅ Multi-turn conversation tracking
- ✅ Progress reporting
- ✅ Smart clarification
- ✅ Error recovery
- ✅ Proactive suggestions
- ✅ Confirmation patterns
- ✅ Learning from corrections
-
Start Server:
python -m src.api.main
-
Test Conversation Flow:
Voice: "Bug bounty start karo" → Aether will break down steps and ask Voice: "BurpSuite kholo" → Aether opens, reports status, asks next step Voice: "HackerOne se program dhundo" → Aether searches, shows results, asks which one -
Test Corrections:
Voice: "Proxy setup karo" Voice: "Are proxy already setup hai" → Aether apologizes and remembers -
Test Multi-turn: Multiple related commands - Aether tracks context across turns
- Be conversational - Aether responds better to natural language
- Provide context - "Firefox me proxy hai" helps Aether skip steps
- Correct when needed - Aether learns from corrections
- Confirm risky actions - Aether will ask before dangerous operations
- Use Hinglish - Aether understands and responds in Hinglish naturally
- Voice tone detection (urgency, confusion)
- Automatic step rollback on errors
- Learning preferences over time
- Predictive next-step suggestions
- Multi-modal feedback (voice + visual)
Created by: Nandkishor Rathod
Version: Advanced Conversational AI v2.0
Status: Production Ready ✅