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feat(language-gate): detect non-English queries and return polite response
Browse files- Added language detection as first step in AgentRouterUseCase (before intent classification)
- Non-English queries now get a polite bilingual response instead of hallucinating
- Native language messages for: Arabic, Amharic, Somali, Swahili, French
- Generic English fallback for all other languages
- Both execute_chat and execute_stream paths protected
- Includes 3 English follow-up question suggestions to guide user
- Zero LLM calls for non-English queries (fast, no hallucination risk)
src/core/use_cases/agent_router_use_case.py
CHANGED
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@@ -6,6 +6,50 @@ from src.core.use_cases.rag_chat_use_case import RagChatUseCase
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from src.core.use_cases.account_use_case import AccountUseCase
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from src.infrastructure.adapters.intent_classifier import intent_classifier
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class AgentRouterUseCase:
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"""
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@@ -23,13 +67,62 @@ class AgentRouterUseCase:
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print(f"DEBUG: Intent Classification: {intent} for query: '{query[:80]}'")
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return intent
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async def execute_chat(self, request: ChatRequest) -> Dict[str, Any]:
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intent = self._classify_intent(request.query)
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-
# Generate a unique session ID if none provided — never use a shared fallback
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if not request.session_id:
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import uuid
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request.session_id = str(uuid.uuid4())
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session_id = request.session_id
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if intent == "OTHER":
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print(f"DEBUG: Routing to OTHER (Direct LLM Response)")
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@@ -58,13 +151,22 @@ Response:"""
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return await self.rag_chat.execute_chat(request)
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async def execute_stream(self, request: ChatRequest, is_guest: bool = False, user_id: int = None) -> AsyncGenerator[str, None]:
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intent = self._classify_intent(request.query)
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# Generate a unique session ID if none provided — never use a shared fallback
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if not request.session_id:
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import uuid
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request.session_id = str(uuid.uuid4())
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session_id = request.session_id
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if intent == "OTHER":
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full_answer = ""
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# Identity-safe prompt — never reveals underlying model
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@@ -84,14 +186,12 @@ Response:"""
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yield chunk
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if chunk.startswith("data: "):
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try:
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import json
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data = json.loads(chunk[6:])
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if "token" in data:
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full_answer += data["token"]
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except:
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pass
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import json
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final_response = {
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"answer": full_answer,
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"sources": [],
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from src.core.use_cases.account_use_case import AccountUseCase
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from src.infrastructure.adapters.intent_classifier import intent_classifier
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import json
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import uuid
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import logging
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logger = logging.getLogger(__name__)
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# Languages we support for search (backend retrieval)
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SUPPORTED_SEARCH_LANGUAGES = {"en"}
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# Human-readable names for polite response
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LANGUAGE_NAMES = {
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"ar": "Arabic (العربية)",
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"am": "Amharic (አማርኛ)",
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"so": "Somali (Soomaali)",
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"sw": "Swahili (Kiswahili)",
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"fr": "French (Français)",
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"zh": "Chinese (中文)",
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"es": "Spanish (Español)",
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"de": "German (Deutsch)",
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"pt": "Portuguese (Português)",
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"hi": "Hindi (हिन्दी)",
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"tr": "Turkish (Türkçe)",
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"ru": "Russian (Русский)",
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"it": "Italian (Italiano)",
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"ja": "Japanese (日本語)",
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"ko": "Korean (한국어)",
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}
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# Polite "not yet supported" message in each language
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LANGUAGE_NOT_SUPPORTED_MESSAGES = {
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"ar": "مرحباً! أنا ARKI AI. حالياً أدعم اللغة الإنجليزية فقط. دعم اللغة العربية قادم قريباً! 🌍\n\nHello! I'm ARKI AI. I currently support English only. Arabic support is coming soon!",
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"am": "ሰላም! እኔ ARKI AI ነኝ። አሁን እንግሊዝኛ ቋንቋ ብቻ እጠቀማለሁ። አማርኛ ድጋፍ በቅርቡ ይመጣል! 🌍\n\nHello! I'm ARKI AI. I currently support English only. Amharic support is coming soon!",
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"so": "Salaan! Waxaan ahay ARKI AI. Hadda waxaan taageeraa Ingiriisiga kaliya. Taageerada Soomaaliga waxay timaadaa dhawaan! 🌍\n\nHello! I'm ARKI AI. I currently support English only. Somali support is coming soon!",
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"sw": "Habari! Mimi ni ARKI AI. Kwa sasa ninasaidia Kiingereza tu. Msaada wa Kiswahili unakuja hivi karibuni! 🌍\n\nHello! I'm ARKI AI. I currently support English only. Swahili support is coming soon!",
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"fr": "Bonjour! Je suis ARKI AI. Je supporte actuellement l'anglais uniquement. Le support du français arrive bientôt! 🌍\n\nHello! I'm ARKI AI. I currently support English only. French support is coming soon!",
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}
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DEFAULT_NOT_SUPPORTED_MESSAGE = (
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"Hello! I'm ARKI AI, a real-time news assistant.\n\n"
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"I currently support **English** queries only.\n"
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"Support for {lang_name} is coming soon! 🌍\n\n"
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"Please try asking your question in English and I'll do my best to help."
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)
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class AgentRouterUseCase:
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"""
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print(f"DEBUG: Intent Classification: {intent} for query: '{query[:80]}'")
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return intent
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def _detect_language(self, query: str) -> str:
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"""
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Detect query language. Returns ISO 639-1 code (en, ar, am, so, sw, fr...).
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Falls back to 'en' if detection fails.
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"""
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try:
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from src.infrastructure.adapters.language_detector import language_detector
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if language_detector:
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result = language_detector.detect(query)
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logger.debug(
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f"Language detected: {result.language} "
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f"(confidence={result.confidence:.2f}, method={result.method})"
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)
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return result.language
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except Exception as e:
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logger.debug(f"Language detection failed: {e}")
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return "en"
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def _build_not_supported_response(self, lang_code: str, session_id: str) -> Dict[str, Any]:
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"""Build a polite 'language not supported yet' response."""
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# Use native language message if available, else generic English
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if lang_code in LANGUAGE_NOT_SUPPORTED_MESSAGES:
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message = LANGUAGE_NOT_SUPPORTED_MESSAGES[lang_code]
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else:
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lang_name = LANGUAGE_NAMES.get(lang_code, f"your language ({lang_code})")
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message = DEFAULT_NOT_SUPPORTED_MESSAGE.format(lang_name=lang_name)
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return {
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"answer": message,
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"sources": [],
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"follow_up_questions": [
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"What is the latest news from Ethiopia?",
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"Tell me about current events in Africa",
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"What happened in Ethiopia today?"
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],
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"session_id": session_id,
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"debug": {
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"intent": "LANGUAGE_NOT_SUPPORTED",
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"detected_language": lang_code,
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"routed_to": "LanguageGate"
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}
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}
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async def execute_chat(self, request: ChatRequest) -> Dict[str, Any]:
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if not request.session_id:
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request.session_id = str(uuid.uuid4())
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session_id = request.session_id
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# ── Language Gate: detect non-English queries first ───────────────────
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detected_lang = self._detect_language(request.query)
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if detected_lang not in SUPPORTED_SEARCH_LANGUAGES:
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logger.info(f"Non-English query detected: {detected_lang} — returning language gate response")
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print(f"DEBUG: Language gate triggered: {detected_lang} for query: '{request.query[:60]}'")
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return self._build_not_supported_response(detected_lang, session_id)
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intent = self._classify_intent(request.query)
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if intent == "OTHER":
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print(f"DEBUG: Routing to OTHER (Direct LLM Response)")
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return await self.rag_chat.execute_chat(request)
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async def execute_stream(self, request: ChatRequest, is_guest: bool = False, user_id: int = None) -> AsyncGenerator[str, None]:
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if not request.session_id:
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request.session_id = str(uuid.uuid4())
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session_id = request.session_id
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# ── Language Gate: detect non-English queries first ───────────────────
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detected_lang = self._detect_language(request.query)
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if detected_lang not in SUPPORTED_SEARCH_LANGUAGES:
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logger.info(f"Non-English query detected: {detected_lang} — returning language gate response")
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print(f"DEBUG: Language gate triggered: {detected_lang} for query: '{request.query[:60]}'")
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response = self._build_not_supported_response(detected_lang, session_id)
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yield f"data: {json.dumps(response)}\n\n"
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yield "data: [DONE]\n\n"
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return
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intent = self._classify_intent(request.query)
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if intent == "OTHER":
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full_answer = ""
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# Identity-safe prompt — never reveals underlying model
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yield chunk
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if chunk.startswith("data: "):
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try:
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data = json.loads(chunk[6:])
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if "token" in data:
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full_answer += data["token"]
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except:
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pass
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final_response = {
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"answer": full_answer,
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"sources": [],
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