fix: 修正Dockerfile中TOOLS_CODE_EXECUTION_ENABLED环境变量的拼写错误

将TOOLS_CODE_EXECUTION_ENABLED环境变量的值从"fasle"更正为"false"，修复了拼写错误。

Dockerfile

@@ -10,7 +10,7 @@ COPY ./app /app/app
 ENV API_KEYS='["your_api_key_1"]'
 ENV ALLOWED_TOKENS='["your_token_1"]'
 ENV BASE_URL=https://generativelanguage.googleapis.com/v1beta
-ENV TOOLS_CODE_EXECUTION_ENABLED=fasle
+ENV TOOLS_CODE_EXECUTION_ENABLED=false
 ENV MODEL_SEARCH='["gemini-2.0-flash-exp"]'
 
 # Expose port

app/api/gemini_routes.py

@@ -1,6 +1,6 @@
 from fastapi import APIRouter, Depends, HTTPException
 from fastapi.responses import StreamingResponse, JSONResponse
-
+from copy import deepcopy
 from app.core.config import settings
 from app.core.logger import get_gemini_logger
 from app.core.security import SecurityService
@@ -36,18 +36,40 @@ async def list_models(_=Depends(security_service.verify_key),
     api_key = await key_manager.get_next_working_key()
     logger.info(f"Using API key: {api_key}")
     models_json = model_service.get_gemini_models(api_key)
-    models_json["models"].append({"name": "models/gemini-2.0-flash-exp-search", "version": "2.0",
-                                  "displayName": "Gemini 2.0 Flash Search Experimental",
-                                  "description": "Gemini 2.0 Flash Search Experimental", "inputTokenLimit": 32767,
-                                  "outputTokenLimit": 8192,
-                                  "supportedGenerationMethods": ["generateContent", "countTokens"], "temperature": 1,
-                                  "topP": 0.95, "topK": 64, "maxTemperature": 2})
-    models_json["models"].append({"name": "models/gemini-2.0-flash-exp-image", "version": "2.0",
-                                  "displayName": "Gemini 2.0 Flash Image Experimental",
-                                  "description": "Gemini 2.0 Flash Image Experimental", "inputTokenLimit": 32767,
-                                  "outputTokenLimit": 8192,
-                                  "supportedGenerationMethods": ["generateContent", "countTokens"], "temperature": 1,
-                                  "topP": 0.95, "topK": 64, "maxTemperature": 2})
+
+    # 模型名称以及对应的详细信息
+    model_mapping = {x.get("name", "").split("/", maxsplit=1)[1]: x for x in models_json["models"]}
+
+    # 添加搜索模型
+    if settings.MODEL_SEARCH:
+        for name in settings.MODEL_SEARCH:
+            model = model_mapping.get(name, None)
+            if not model:
+                continue
+
+            item = deepcopy(model)
+            item["name"] = f"models/{name}-search"
+            display_name = f'{item.get("displayName")} For Search'
+            item["displayName"] = display_name
+            item["description"] = display_name
+
+            models_json["models"].append(item)
+
+    # 添加图像生成模型
+    if settings.MODEL_IMAGE:
+        for name in settings.MODEL_IMAGE:
+            model = model_mapping.get(name, None)
+            if not model:
+                continue
+
+            item = deepcopy(model)
+            item["name"] = f"models/{name}-image"
+            display_name = f'{item.get("displayName")} For Image'
+            item["displayName"] = display_name
+            item["description"] = display_name
+
+            models_json["models"].append(item)
+            
     return models_json
 
 
@@ -68,6 +90,9 @@ async def generate_content(
     logger.info(f"Request: \n{request.model_dump_json(indent=2)}")
     logger.info(f"Using API key: {api_key}")
 
+    if not model_service.check_model_support(model_name):
+        raise HTTPException(status_code=400, detail=f"Model {model_name} is not supported")
+
     try:
         response = await chat_service.generate_content(
             model=model_name,
@@ -98,6 +123,9 @@ async def stream_generate_content(
     logger.info(f"Request: \n{request.model_dump_json(indent=2)}")
     logger.info(f"Using API key: {api_key}")
 
+    if not model_service.check_model_support(model_name):
+        raise HTTPException(status_code=400, detail=f"Model {model_name} is not supported")
+
     try:
         response_stream = chat_service.stream_generate_content(
             model=model_name,

app/api/openai_routes.py

@@ -61,6 +61,10 @@ async def chat_completion(
     logger.info(f"Handling chat completion request for model: {request.model}")
     logger.info(f"Request: \n{request.model_dump_json(indent=2)}")
     logger.info(f"Using API key: {api_key}")
+
+    if not model_service.check_model_support(request.model):
+        raise HTTPException(status_code=400, detail=f"Model {request.model} is not supported")
+       
     try:
         # 如果model是imagen3,使用paid_key
         if request.model == f"{settings.CREATE_IMAGE_MODEL}-chat":

app/services/chat/api_client.py

@@ -24,12 +24,18 @@ class GeminiApiClient(ApiClient):
         self.base_url = base_url
         self.timeout = timeout
 
-    async def generate_content(self, payload: Dict[str, Any], model: str, api_key: str) -> Dict[str, Any]:
-        timeout = httpx.Timeout(self.timeout, read=self.timeout)
+    def _get_real_model(self, model: str) -> str:
         if model.endswith("-search"):
             model = model[:-7]
         if model.endswith("-image"):
             model = model[:-6]
+
+        return model
+
+    async def generate_content(self, payload: Dict[str, Any], model: str, api_key: str) -> Dict[str, Any]:
+        timeout = httpx.Timeout(self.timeout, read=self.timeout)
+        model = self._get_real_model(model)
+
         async with httpx.AsyncClient(timeout=timeout) as client:
             url = f"{self.base_url}/models/{model}:generateContent?key={api_key}"
             response = await client.post(url, json=payload)
@@ -40,10 +46,8 @@ class GeminiApiClient(ApiClient):
 
     async def stream_generate_content(self, payload: Dict[str, Any], model: str, api_key: str) -> AsyncGenerator[str, None]:
         timeout = httpx.Timeout(self.timeout, read=self.timeout)
-        if model.endswith("-search"):
-            model = model[:-7]
-        if model.endswith("-image"):
-            model = model[:-6]
+        model = self._get_real_model(model)
+        
         async with httpx.AsyncClient(timeout=timeout) as client:
             url = f"{self.base_url}/models/{model}:streamGenerateContent?alt=sse&key={api_key}"
             async with client.stream(method="POST", url=url, json=payload) as response:

app/services/chat/message_converter.py

@@ -34,7 +34,7 @@ class OpenAIMessageConverter(MessageConverter):
 
     def convert(self, messages: List[Dict[str, Any]]) -> tuple[List[Dict[str, Any]], Optional[Dict[str, Any]]]:
         converted_messages = []
-        system_instruction = None
+        system_instruction_parts = []
 
         for idx, msg in enumerate(messages):
             role = msg.get("role", "")
@@ -64,8 +64,16 @@ class OpenAIMessageConverter(MessageConverter):
 
             if parts:
                 if role == "system":
-                    system_instruction = {"role": "system", "parts": parts}
+                    system_instruction_parts.extend(parts)
                 else:
                     converted_messages.append({"role": role, "parts": parts})
 
+        system_instruction = (
+            None
+            if not system_instruction_parts
+            else {
+                "role": "system",
+                "parts": system_instruction_parts,
+            }
+        )
         return converted_messages, system_instruction

app/services/model_service.py

@@ -68,3 +68,17 @@ class ModelService:
             image_model["id"] = f"{settings.CREATE_IMAGE_MODEL}-chat"
             openai_format["data"].append(image_model)
         return openai_format
+
+    def check_model_support(self, model: str) -> bool:
+        if not model or not isinstance(model, str):
+            return False
+
+        model = model.strip()
+        if model.endswith("-search"):
+            model = model[:-7]
+            return model in settings.MODEL_SEARCH
+        if model.endswith("-image"):
+            model = model[:-6]
+            return model in settings.MODEL_IMAGE
+
+        return True