diff --git a/app/database.py b/app/database.py new file mode 100644 index 0000000..e316a72 --- /dev/null +++ b/app/database.py @@ -0,0 +1,25 @@ +from supabase import create_client, Client +from app.config import settings +import logging + +logger = logging.getLogger(__name__) + +_supabase_client: Client = None + + +def get_supabase() -> Client: + global _supabase_client + if _supabase_client is None: + _supabase_client = create_client( + settings.supabase_url, + settings.supabase_service_role_key, + ) + return _supabase_client + + +def get_supabase_anon() -> Client: + """For user-scoped operations (respects RLS)""" + return create_client( + settings.supabase_url, + settings.supabase_anon_key, + ) diff --git a/app/models.py b/app/models.py index 9a1ffc5..75bff52 100644 --- a/app/models.py +++ b/app/models.py @@ -98,7 +98,7 @@ class ChatbotCreate(BaseModel): name: str = Field(min_length=2, max_length=100) description: Optional[str] = None system_prompt: Optional[str] = None - model: str = "accounts/fireworks/models/llama-v3p1-70b-instruct" + model: str = "accounts/fireworks/models/kimi-k2-instruct-0905" temperature: float = Field(default=0.7, ge=0.0, le=2.0) max_tokens: int = Field(default=1000, ge=100, le=8000) primary_color: str = "#6366f1" diff --git a/app/services/llm.py b/app/services/llm.py index 0549efe..989d031 100644 --- a/app/services/llm.py +++ b/app/services/llm.py @@ -32,11 +32,10 @@ class LLMService: except Exception as e: logger.error(f"LLM error ({provider}/{model}): {e}") # Fallback to a basic model if available - if model != "accounts/fireworks/models/llama-v3p1-70b-instruct" and settings.fireworks_api_key: - logger.info("Falling back to Fireworks AI") + if model != "accounts/fireworks/models/kimi-k2-instruct-0905" and settings.fireworks_api_key: return await self._call_fireworks( messages, - "accounts/fireworks/models/llama-v3p1-70b-instruct", + "accounts/fireworks/models/kimi-k2-instruct-0905", max_tokens, temperature, ) @@ -137,7 +136,7 @@ class LLMService: max_tokens: int, temperature: float, ) -> Dict[str, Any]: - import google.generativeai as genai + import google.genai as genai genai.configure(api_key=settings.google_api_key) gemini_model = genai.GenerativeModel(model) diff --git a/app/services/rag.py b/app/services/rag.py index c55c4c3..3c854bf 100644 --- a/app/services/rag.py +++ b/app/services/rag.py @@ -103,7 +103,7 @@ class RAGEngine: messages.append({"role": "user", "content": query}) # Step 5: Generate response - model = chatbot_config.get("model", "accounts/fireworks/models/llama-v3p1-70b-instruct") + model = chatbot_config.get("model", "accounts/fireworks/models/kimi-k2-instruct-0905") try: result = await self.llm_svc.generate( messages=messages, diff --git a/app/services/vector_store.py b/app/services/vector_store.py index a0a35bd..79f76af 100644 --- a/app/services/vector_store.py +++ b/app/services/vector_store.py @@ -29,7 +29,6 @@ class VectorStoreService: self.client = get_qdrant_client() def create_collection(self, collection_name: str) -> bool: - """Create a new collection for a chatbot""" try: self.client.create_collection( collection_name=collection_name, @@ -38,6 +37,12 @@ class VectorStoreService: distance=Distance.COSINE, ), ) + # Create payload index for filtering/deleting by document_id + self.client.create_payload_index( + collection_name=collection_name, + field_name="document_id", + field_schema="keyword", + ) logger.info(f"Created collection: {collection_name}") return True except Exception as e: @@ -102,12 +107,12 @@ class VectorStoreService: ) -> List[Dict[str, Any]]: """Search for similar vectors""" try: - results = self.client.search( + results = self.client.query_points( collection_name=collection_name, - query_vector=query_vector, + query=query_vector, limit=limit, score_threshold=score_threshold, - ) + ).points return [ { "id": str(r.id), diff --git a/pyproject.toml b/pyproject.toml index 191b8b2..9f89073 100644 --- a/pyproject.toml +++ b/pyproject.toml 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