Fix the incompatibility of ollama and groq json's response and update default model selection

.env-template

@@ -13,6 +13,7 @@ OLLAMA_API_BASE=http://host.docker.internal:11434
 
 # Cloud Models (Optional)
 OPENAI_API_KEY=
+OPENAI_API_BASE=
 GROQ_API_KEY=
 
 AZURE_DEPLOYMENT_NAME=

docker-compose.dev.yaml

@@ -20,6 +20,7 @@ services:
       - OLLAMA_API_BASE=${OLLAMA_API_BASE:-http://host.docker.internal:11434}
 
       - OPENAI_API_KEY=${OPENAI_API_KEY}
+      - OPENAI_API_BASE=${OPENAI_API_BASE}
       - GROQ_API_KEY=${GROQ_API_KEY}
 
       - AZURE_DEPLOYMENT_NAME=${AZURE_DEPLOYMENT_NAME}

src/backend/constants.py

@@ -9,10 +9,11 @@
 class ChatModel(str, Enum):
     LLAMA_3_70B = "llama-3-70b"
     GPT_4o = "gpt-4o"
-    GPT_3_5_TURBO = "gpt-3.5-turbo"
+    GPT_4o_mini = "gpt-4o-mini"
+    COMMAND_R = "command-r"
 
     # Local models
-    LOCAL_LLAMA_3 = "llama3"
+    LOCAL_LLAMA_3 = "llama3.1"
     LOCAL_GEMMA = "gemma"
     LOCAL_MISTRAL = "mistral"
     LOCAL_PHI3_14B = "phi3:14b"
@@ -22,10 +23,10 @@ class ChatModel(str, Enum):
 
 
 model_mappings: dict[ChatModel, str] = {
-    ChatModel.GPT_3_5_TURBO: "gpt-3.5-turbo",
     ChatModel.GPT_4o: "gpt-4o",
-    ChatModel.LLAMA_3_70B: "groq/llama3-70b-8192",
-    ChatModel.LOCAL_LLAMA_3: "ollama_chat/llama3",
+    ChatModel.GPT_4o_mini: "gpt-4o-mini",
+    ChatModel.LLAMA_3_70B: "groq/llama-3.1-70b-versatile",
+    ChatModel.LOCAL_LLAMA_3: "ollama_chat/llama3.1",
     ChatModel.LOCAL_GEMMA: "ollama_chat/gemma",
     ChatModel.LOCAL_MISTRAL: "ollama_chat/mistral",
     ChatModel.LOCAL_PHI3_14B: "ollama_chat/phi3:14b",
@@ -39,7 +40,7 @@ def get_model_string(model: ChatModel) -> str:
             raise ValueError("CUSTOM_MODEL is not set")
         return custom_model
 
-    if model in {ChatModel.GPT_3_5_TURBO, ChatModel.GPT_4o}:
+    if model in {ChatModel.GPT_4o_mini, ChatModel.GPT_4o}:
         openai_mode = os.environ.get("OPENAI_MODE", "openai")
         if openai_mode == "azure":
             # Currently deployments are named "gpt-35-turbo" and "gpt-4o"

src/backend/llm/base.py

@@ -41,7 +41,10 @@ def __init__(
             raise ValueError(f"Missing keys: {validation['missing_keys']}")
 
         self.llm = LiteLLM(model=model)
-        self.client = instructor.from_litellm(completion)
+        if 'groq' in model or 'ollama_chat' in model:
+            self.client = instructor.from_litellm(completion, mode=instructor.Mode.MD_JSON)
+        else:
+            self.client = instructor.from_litellm(completion)
 
     async def astream(self, prompt: str) -> CompletionResponseAsyncGen:
         return await self.llm.astream_complete(prompt)

src/backend/schemas.py

@@ -35,7 +35,7 @@ class ChatRequest(BaseModel, plugin_settings=record_all):
     thread_id: int | None = None
     query: str
     history: List[Message] = Field(default_factory=list)
-    model: ChatModel = ChatModel.GPT_3_5_TURBO
+    model: ChatModel = ChatModel.GPT_4o_mini
     pro_search: bool = False
 
 

src/backend/validators.py

@@ -5,7 +5,7 @@
 
 
 def validate_model(model: ChatModel):
-    if model in {ChatModel.GPT_3_5_TURBO, ChatModel.GPT_4o}:
+    if model in {ChatModel.GPT_4o_mini, ChatModel.GPT_4o}:
         OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
         if not OPENAI_API_KEY:
             raise ValueError("OPENAI_API_KEY environment variable not found")

src/frontend/generated/types.gen.ts

@@ -67,8 +67,8 @@ export type ChatMessage = {
 export enum ChatModel {
   LLAMA_3_70B = "llama-3-70b",
   GPT_4O = "gpt-4o",
-  GPT_3_5_TURBO = "gpt-3.5-turbo",
-  LLAMA3 = "llama3",
+  GPT_4O_MINI = "gpt-4o-mini",
+  LLAMA3 = "llama3.1",
   GEMMA = "gemma",
   MISTRAL = "mistral",
   PHI3_14B = "phi3:14b",

src/frontend/src/components/model-selection.tsx

@@ -37,10 +37,10 @@ type Model = {
 };
 
 export const modelMap: Record<ChatModel, Model> = {
-  [ChatModel.GPT_3_5_TURBO]: {
+  [ChatModel.GPT_4O_MINI]: {
     name: "Fast",
-    description: "OpenAI/GPT-3.5-turbo",
-    value: ChatModel.GPT_3_5_TURBO,
+    description: "OpenAI/GPT-4o-mini",
+    value: ChatModel.GPT_4O_MINI,
     smallIcon: <RabbitIcon className="w-4 h-4 text-cyan-500" />,
     icon: <RabbitIcon className="w-5 h-5 text-cyan-500" />,
   },
@@ -60,7 +60,7 @@ export const modelMap: Record<ChatModel, Model> = {
   },
   [ChatModel.LLAMA3]: {
     name: "Llama3",
-    description: "ollama/llama3",
+    description: "ollama/llama3.1",
     value: ChatModel.LLAMA3,
     smallIcon: <WandSparklesIcon className="w-4 h-4 text-purple-500" />,
     icon: <WandSparklesIcon className="w-5 h-5 text-purple-500" />,
@@ -123,7 +123,7 @@ const ModelItem: React.FC<{ model: Model }> = ({ model }) => (
 
 export function ModelSelection() {
   const { localMode, model, setModel, toggleLocalMode } = useConfigStore();
-  const selectedModel = modelMap[model] ?? modelMap[ChatModel.GPT_3_5_TURBO];
+  const selectedModel = modelMap[model] ?? modelMap[ChatModel.GPT_4O_MINI];
 
   return (
     <Select

src/frontend/src/lib/utils.ts

@@ -14,6 +14,6 @@ export function isCloudModel(model: ChatModel) {
   return [
     ChatModel.LLAMA_3_70B,
     ChatModel.GPT_4O,
-    ChatModel.GPT_3_5_TURBO,
+    ChatModel.GPT_4O_MINI,
   ].includes(model);
 }

src/frontend/src/stores/slices/configSlice.ts

@@ -22,7 +22,7 @@ export const createConfigSlice: StateCreator<
   [],
   ConfigStore
 > = (set) => ({
-  model: ChatModel.GPT_3_5_TURBO,
+  model: ChatModel.GPT_4O_MINI,
   localMode: false,
   proMode: false,
   setModel: (model: ChatModel) => set({ model }),
@@ -36,7 +36,7 @@ export const createConfigSlice: StateCreator<
       const newLocalMode = !state.localMode;
       const newModel = newLocalMode
         ? ChatModel.LLAMA3
-        : ChatModel.GPT_3_5_TURBO;
+        : ChatModel.GPT_4O_MINI;
       return { localMode: newLocalMode, model: newModel };
     }),
   toggleProMode: () =>