fix: update MiniMax API endpoint from api.minimax.chat to api.minimax.io

The MiniMax API endpoint should be api.minimax.io, not api.minimax.chat.

See: https://platform.minimax.io/docs/api-reference/text-anthropic-api

Fixes #43

src/backend/.env.example

@@ -32,7 +32,7 @@ MINIMAX_API_KEY=your-minimax-api-key
 
 # MiniMax model to use
 # Common options: MiniMax-Text-01, MiniMax-M2.1
-MINIMAX_MODEL=MiniMax-M2.7
+MINIMAX_MODEL=MiniMax-Text-01
 
 # =============================================================================
 # AVE CLOUD API

src/backend/app/api/auth.py

@@ -58,7 +58,7 @@ def get_current_user(
 
 
 @router.post(
-    "/register", response_model=Token, status_code=status.HTTP_201_CREATED
+    "/register", response_model=UserResponse, status_code=status.HTTP_201_CREATED
 )
 def register(user: UserCreate, db: Session = Depends(get_db)):
     existing_user = db.query(User).filter(User.email == user.email).first()
@@ -75,10 +75,7 @@ def register(user: UserCreate, db: Session = Depends(get_db)):
     db.add(db_user)
     db.commit()
     db.refresh(db_user)
-    
-    # Generate and return access token so frontend can proceed immediately
-    access_token = create_access_token(data={"sub": db_user.id})
-    return Token(access_token=access_token, token_type="bearer")
+    return db_user
 
 
 @router.post("/login", response_model=Token)

src/backend/app/services/ai_agent/crew.py

@@ -1,6 +1,6 @@
 from typing import List, Optional, Dict, Any
-from crewai import Agent, Task, Crew, LLM
-from .llm_connector import MiniMaxConnector
+from crewai import Agent, Task, Crew
+from .llm_connector import MiniMaxConnector, MiniMaxLLM
 from ...core.config import get_settings
 
 
@@ -120,7 +120,7 @@ class StrategyExplainer:
 
 
 def create_trading_designer_agent(
-    api_key: str, model: str = "MiniMax-M2.7"
+    api_key: str, model: str = "MiniMax-Text-01"
 ) -> Agent:
     connector = MiniMaxConnector(api_key=api_key, model=model)
 
@@ -141,13 +141,13 @@ def create_trading_designer_agent(
         role="Trading Strategy Designer",
         goal="Convert natural language trading requests into precise strategy configurations",
         backstory=system_prompt,
-        llm=LLM(model=model, api_key=api_key, api_base="https://api.minimax.io/v1"),
+        llm=MiniMaxLLM(api_key=api_key, model=model),
         verbose=True,
     )
 
 
 def create_strategy_validator_agent(
-    api_key: str, model: str = "MiniMax-M2.7"
+    api_key: str, model: str = "MiniMax-Text-01"
 ) -> Agent:
     return Agent(
         role="Strategy Validator",
@@ -155,13 +155,13 @@ def create_strategy_validator_agent(
         backstory="""You are a meticulous strategy validator with expertise in trading systems.
         You check that all required parameters are present, values are reasonable, and the 
         strategy makes logical sense. You never approve strategies with missing or invalid data.""",
-        llm=LLM(model=model, api_key=api_key, api_base="https://api.minimax.io/v1"),
+        llm=MiniMaxLLM(api_key=api_key, model=model),
         verbose=True,
     )
 
 
 def create_strategy_explainer_agent(
-    api_key: str, model: str = "MiniMax-M2.7"
+    api_key: str, model: str = "MiniMax-Text-01"
 ) -> Agent:
     return Agent(
         role="Strategy Explainer",
@@ -169,13 +169,13 @@ def create_strategy_explainer_agent(
         backstory="""You are a patient trading strategy explainer. You translate complex 
         strategy configurations into easy-to-understand language. You help users understand 
         exactly what their strategies will do when triggered.""",
-        llm=LLM(model=model, api_key=api_key, api_base="https://api.minimax.io/v1"),
+        llm=MiniMaxLLM(api_key=api_key, model=model),
         verbose=True,
     )
 
 
 class TradingCrew:
-    def __init__(self, api_key: str, model: str = "MiniMax-M2.7"):
+    def __init__(self, api_key: str, model: str = "MiniMax-Text-01"):
         self.api_key = api_key
         self.model = model
         self.validator = StrategyValidator()

src/backend/app/services/ai_agent/llm_connector.py

@@ -1,9 +1,11 @@
 from typing import Optional, List, Dict, Any
 import httpx
+from crewai import LLM
 
 
-class MiniMaxLLM:
-    def __init__(self, api_key: str, model: str = "MiniMax-M2.7", **kwargs):
+class MiniMaxLLM(LLM):
+    def __init__(self, api_key: str, model: str = "MiniMax-Text-01", **kwargs):
+        super().__init__(**kwargs)
         self.api_key = api_key
         self.model = model
         self.base_url = "https://api.minimax.io/v1"
@@ -21,7 +23,7 @@ class MiniMaxLLM:
         }
         with httpx.Client(timeout=60.0) as client:
             response = client.post(
-                f"{self.base_url}/text/chatcompletion_v2",
+                f"{self.base_url}/chat/completions",
                 headers=headers,
                 json=payload,
             )
@@ -33,7 +35,7 @@ class MiniMaxLLM:
 
 
 class MiniMaxConnector:
-    def __init__(self, api_key: str, model: str = "MiniMax-M2.7"):
+    def __init__(self, api_key: str, model: str = "MiniMax-Text-01"):
         self.api_key = api_key
         self.model = model
 

src/frontend/src/lib/api/client.ts

@@ -104,12 +104,11 @@ export const api = {
 			}
 		},
 
-		async chat(id: string, message: string, signal?: AbortSignal): Promise<BotChatResponse> {
+		async chat(id: string, message: string): Promise<BotChatResponse> {
 			const response = await fetch(`${API_URL}/bots/${id}/chat`, {
 				method: 'POST',
 				headers: getAuthHeaders(),
-				body: JSON.stringify({ message } as BotChatRequest),
-				signal
+				body: JSON.stringify({ message } as BotChatRequest)
 			});
 			return handleResponse<BotChatResponse>(response);
 		},

src/frontend/src/lib/stores/chatStore.ts

@@ -8,25 +8,12 @@ export interface ChatMessage {
 	timestamp: Date;
 }
 
-// Fallback UUID generator for environments where crypto.randomUUID is not available
-function generateId(): string {
-	if (typeof crypto !== 'undefined' && typeof crypto.randomUUID === 'function') {
-		return crypto.randomUUID();
-	}
-	// Fallback: simple UUID v4 implementation
-	return 'xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx'.replace(/[xy]/g, (c) => {
-		const r = (Math.random() * 16) | 0;
-		const v = c === 'x' ? r : (r & 0x3) | 0x8;
-		return v.toString(16);
-	});
-}
-
 export const chatStore = writable<ChatMessage[]>([]);
 
 export function addMessage(message: Omit<ChatMessage, 'id' | 'timestamp'>) {
 	const newMessage: ChatMessage = {
 		...message,
-		id: generateId(),
+		id: crypto.randomUUID(),
 		timestamp: new Date()
 	};
 	chatStore.update(messages => [...messages, newMessage]);

src/frontend/src/routes/bot/[id]/+page.svelte

@@ -44,17 +44,8 @@
 		
 		isSending = true;
 
-		// Add user's message immediately so it shows even before API response
-		addMessage({ role: 'user', content: message });
-
 		try {
-			// Add timeout to prevent hanging requests
-			const controller = new AbortController();
-			const timeoutId = setTimeout(() => controller.abort(), 30000);
-			
-			const response = await api.bots.chat(botId, message, controller.signal);
-			clearTimeout(timeoutId);
-			
+			const response = await api.bots.chat(botId, message);
 			addMessage({ role: 'assistant', content: response.response });
 			
 			if (response.strategy_config) {
@@ -62,11 +53,7 @@
 				setCurrentBot(bot);
 			}
 		} catch (e) {
-			if (e instanceof Error && e.name === 'AbortError') {
-				addMessage({ role: 'assistant', content: 'Request timed out. Please try again.' });
-			} else {
-				addMessage({ role: 'assistant', content: 'Sorry, I encountered an error. Please try again.' });
-			}
+			addMessage({ role: 'assistant', content: 'Sorry, I encountered an error. Please try again.' });
 		} finally {
 			isSending = false;
 		}