add support for tool call (function call)

src/app.tsx

@@ -21,9 +21,11 @@ export interface TemplateAPI {
   key: string;
   endpoint: string;
 }
+
 export interface ChatStore {
   chatgpt_api_web_version: string;
   systemMessageContent: string;
+  toolsString: string;
   history: ChatStoreMessage[];
   postBeginIndex: number;
   tokenMargin: number;
@@ -67,11 +69,13 @@ export const newChatStore = (
   tts_api = "",
   tts_key = "",
   tts_speed = 1.0,
-  tts_speed_enabled = false
+  tts_speed_enabled = false,
+  toolsString = ""
 ): ChatStore => {
   return {
     chatgpt_api_web_version: CHATGPT_API_WEB_VERSION,
     systemMessageContent: getDefaultParams("sys", systemMessageContent),
+    toolsString,
     history: [],
     postBeginIndex: 0,
     tokenMargin: 1024,
@@ -173,6 +177,7 @@ export function App() {
     if (ret.maxGenTokens_enabled === undefined) ret.maxGenTokens_enabled = true;
     if (ret.model === undefined) ret.model = "gpt-3.5-turbo";
     if (ret.responseModelName === undefined) ret.responseModelName = "";
+    if (ret.toolsString === undefined) ret.toolsString = "";
     if (ret.chatgpt_api_web_version === undefined)
       // this is from old version becasue it is undefined,
       // so no higher than v1.3.0

src/chatbox.tsx

@@ -127,7 +127,7 @@ export default function ChatBOX(props: {
       chatStore.cost += cost;
       addTotalCost(cost);
     }
-    const content = client.processFetchResponse(data);
+    const msg = client.processFetchResponse(data);
 
     // estimate user's input message token
     let aboveToken = 0;
@@ -147,9 +147,11 @@ export default function ChatBOX(props: {
 
     chatStore.history.push({
       role: "assistant",
-      content,
+      content: msg.content,
+      tool_calls: msg.tool_calls,
       hide: false,
-      token: data.usage.completion_tokens ?? calculate_token_length(content),
+      token:
+        data.usage.completion_tokens ?? calculate_token_length(msg.content),
       example: false,
     });
     setShowGenerating(false);
@@ -160,6 +162,7 @@ export default function ChatBOX(props: {
     // manually copy status from chatStore to client
     client.apiEndpoint = chatStore.apiEndpoint;
     client.sysMessageContent = chatStore.systemMessageContent;
+    client.toolsString = chatStore.toolsString;
     client.tokens_margin = chatStore.tokenMargin;
     client.temperature = chatStore.temperature;
     client.enable_temperature = chatStore.temperature_enabled;

src/chatgpt.ts

@@ -12,6 +12,11 @@ export interface Message {
   role: "system" | "user" | "assistant" | "function";
   content: string | MessageDetail[];
   name?: "example_user" | "example_assistant";
+  tool_calls?: {
+    id: string;
+    type: string;
+    function: any;
+  }[];
 }
 export const getMessageText = (message: Message): string => {
   if (typeof message.content === "string") {
@@ -78,6 +83,7 @@ class Chat {
   OPENAI_API_KEY: string;
   messages: Message[];
   sysMessageContent: string;
+  toolsString: string;
   total_tokens: number;
   max_tokens: number;
   max_gen_tokens: number;
@@ -96,6 +102,7 @@ class Chat {
     OPENAI_API_KEY: string | undefined,
     {
       systemMessage = "",
+      toolsString = "",
       max_tokens = 4096,
       max_gen_tokens = 2048,
       enable_max_gen_tokens = true,
@@ -121,6 +128,7 @@ class Chat {
     this.enable_max_gen_tokens = enable_max_gen_tokens;
     this.tokens_margin = tokens_margin;
     this.sysMessageContent = systemMessage;
+    this.toolsString = toolsString;
     this.apiEndpoint = apiEndPoint;
     this.model = model;
     this.temperature = temperature;
@@ -178,6 +186,25 @@ class Chat {
       body["max_tokens"] = this.max_gen_tokens;
     }
 
+    // parse toolsString to function call format
+    const ts = this.toolsString.trim();
+    if (ts) {
+      try {
+        const fcList: any[] = JSON.parse(ts);
+        body["tools"] = fcList.map((fc) => {
+          return {
+            type: "function",
+            function: fc,
+          };
+        });
+      } catch (e) {
+        console.log("toolsString parse error");
+        throw (
+          "Function call toolsString parse error, not a valied json list: " + e
+        );
+      }
+    }
+
     return fetch(this.apiEndpoint, {
       method: "POST",
       headers: {
@@ -234,7 +261,7 @@ class Chat {
     }
   }
 
-  processFetchResponse(resp: FetchResponse): string {
+  processFetchResponse(resp: FetchResponse): Message {
     if (resp.error !== undefined) {
       throw JSON.stringify(resp.error);
     }
@@ -249,15 +276,19 @@ class Chat {
       this.forgetSomeMessages();
     }
 
-    return (
-      (resp?.choices[0]?.message?.content as string) ??
-      `Error: ${JSON.stringify(resp)}`
-    );
-  }
+    let content = "";
+    if (
+      !resp.choices[0]?.message?.content &&
+      !resp.choices[0]?.message?.tool_calls
+    ) {
+      content = `Unparsed response: ${JSON.stringify(resp)}`;
+    }
 
-  async complete(): Promise<string> {
-    const resp = await this.fetch();
-    return this.processFetchResponse(resp);
+    return {
+      role: "assistant",
+      content,
+      tool_calls: resp?.choices[0]?.message?.tool_calls,
+    };
   }
 
   completeWithSteam() {

src/message.tsx

@@ -288,6 +288,21 @@ export default function Message(props: Props) {
                 : "bg-green-400"
             } ${chat.hide ? "opacity-50" : ""}`}
           >
+            {chat.tool_calls && chat.hide ? (
+              <div className="message-content">Tool Call</div>
+            ) : (
+              <div className="message-content">
+                <div>
+                  {chat.tool_calls?.map((tool_call) => (
+                    <div className="bg-blue-300 dark:bg-blue-800 p-1 rounded">
+                      <strong>Tool Call ID: {tool_call?.id}</strong>
+                      <p>Type: {tool_call?.type}</p>
+                      <p>Function: {JSON.stringify(tool_call?.function)}</p>
+                    </div>
+                  ))}
+                </div>
+              </div>
+            )}
             <p className={renderMarkdown ? "" : "message-content"}>
               {typeof chat.content !== "string" ? (
                 // render for multiple messages

src/settings.tsx

@@ -60,7 +60,7 @@ const SelectModel = (props: {
 const LongInput = (props: {
   chatStore: ChatStore;
   setChatStore: (cs: ChatStore) => void;
-  field: "systemMessageContent";
+  field: "systemMessageContent" | "toolsString";
   help: string;
 }) => {
   return (
@@ -373,6 +373,11 @@ export default (props: {
             help="系统消息，用于指示ChatGPT的角色和一些前置条件，例如“你是一个有帮助的人工智能助理”，或者“你是一个专业英语翻译，把我的话全部翻译成英语”，详情参考 OPEAN AI API 文档"
             {...props}
           />
+          <LongInput
+            field="toolsString"
+            help="function call tools, should be valied json format in list"
+            {...props}
+          />
           <Input
             field="apiKey"
             help="OPEN AI API 密钥，请勿泄漏此密钥"