Bits

src/apps/chat/components/composer/Composer.tsx

@@ -115,7 +115,10 @@ const SentMessagesMenu = (props: {
     {props.messages.map((item, index) =>
       <MenuItem
         key={'composer-sent-' + index}
-        onClick={() => { props.onPaste(item.text); props.onClose(); }}
+        onClick={() => {
+          props.onPaste(item.text);
+          props.onClose();
+        }}
         sx={{ textOverflow: 'ellipsis', whiteSpace: 'nowrap', display: 'inline', overflow: 'hidden' }}
       >
         {item.count > 1 && <span style={{ marginRight: 1 }}>({item.count})</span>} {item.text?.length > 70 ? item.text.slice(0, 68) + '...' : item.text}
@@ -578,7 +581,7 @@ export function Composer(props: {
                     onClick={handleSendClicked} onDoubleClick={handleShowChatMode}
                     endDecorator={isReAct ? <PsychologyIcon /> : <TelegramIcon />}
                   >
-                    {isReAct ? 'ReAct' : isFollowUp ? 'Chat+' : 'Chat' }
+                    {isReAct ? 'ReAct' : isFollowUp ? 'Chat+' : 'Chat'}
                   </Button>
                 )}
             </Box>

src/modules/llms/llm.client.ts

@@ -21,14 +21,11 @@ export interface VChatMessageOut {
   finish_reason: 'stop' | 'length' | null;
 }
 
-export interface VChatFunctionCallOut {
+export interface VChatMessageOrFunctionCallOut extends VChatMessageOut {
   function_name: string;
   function_arguments: object | null;
 }
 
-export type VChatMessageOrFunctionCallOut = VChatMessageOut | VChatFunctionCallOut;
-
-
 
 export async function callChatGenerate(llmId: DLLMId, messages: VChatMessageIn[], maxTokens?: number): Promise<VChatMessageOut> {
   const { llm, vendor } = getLLMAndVendorOrThrow(llmId);

src/modules/llms/openai/openai.client.ts

@@ -20,7 +20,7 @@ export const callChatWithFunctions = async (llm: DLLM, messages: VChatMessageIn[
 /**
  * This function either returns the LLM message, or function calls, or throws a descriptive error string
  */
-async function callChatOverloaded<TOut extends VChatMessageOrFunctionCallOut>(llm: DLLM, messages: VChatMessageIn[], functions: VChatFunctionIn[] | null, maxTokens?: number): Promise<TOut> {
+async function callChatOverloaded<TOut = VChatMessageOut | VChatMessageOrFunctionCallOut>(llm: DLLM, messages: VChatMessageIn[], functions: VChatFunctionIn[] | null, maxTokens?: number): Promise<TOut> {
   // access params (source)
   const partialSetup = llm._source.setup as Partial<SourceSetupOpenAI>;
   const sourceSetupOpenAI = normalizeOAISetup(partialSetup);