Is Smart Sidebar: Chat GPT, Claude & DeepSeek safe?

      async handleFileUpload(e) {
        const t = e.target.files[0];
        if (!t) return;
        if (!["application/pdf", "application/msword", "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "application/vnd.ms-excel", "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "application/vnd.ms-powerpoint", "application/vnd.openxmlformats-officedocument.presentationml.presentation"].includes(t.type)) {
          this.notify.error(this.__("Please upload a PDF, Word, Excel, or PowerPoint file"));
          return
        }
        try {
          const n = await N.set(t, null, null);
          n && (n._listkey || n.id || n.file_id) ? this.uploadedFileId = n._listkey || n.id || n.file_id : this.uploadedFileId = null
        } catch (n) {
          console.error("Error uploading file via /files/create", n), this.uploadedFileId = null
        }
        await this.cleanupResources(), this.newChat(null, "ai_single", b.SHA1("chat_with_file")), this.isLoading = !0, this.error = null, this.fileName = t.name;
        try {
          console.log("Loading document file..."), this.isConverting = !t.type.includes("pdf");
          const n = 10 * 1024 * 1024;
          if (t.size > n) {
            this.notify.error(this.__("File is too large. Please upload a smaller file."));
            return
          }
          await this.fileProcessor.loadPDF(t), this.isConverting = !1, console.log("Document loaded successfully");
          const i = this.fileProcessor.getPdfDoc();
          if (i) {
            let o = "";
            const p = i.numPages,
              w = Math.ceil(p / 5);
            for (let f = 0; f < w; f++) {
              const k = f * 5 + 1,
                v = Math.min((f + 1) * 5, p);
              for (let u = k; u <= v; u++) {
                const P = await i.getPage(u),
                  s = await P.getTextContent(),
                  x = s.items.map(S => S.str).join(" ");
                o += x + `

`, await P.cleanup(), s.items.length = 0, Object.keys(s).forEach(S => {
                  s[S] = null
                })
              }
              await new Promise(u => setTimeout(u, 0))
            }
            this.pdfContent = o, this.context_data = {
              mode: "chatwithfile",
              fileName: `${this.fileName} - Chat with File`,
              contextData: {
                context: this.pdfContent
              }
            }
          }
          if (this.totalPages = this.fileProcessor.numPages, console.log("Total pages:", this.totalPages), this.totalPages === 0) throw new Error("No pages found in document");
          this.currentPage = 1, this.fileUploaded = !0, await this.renderThumbnailsWithMemoryManagement(), await this.$nextTick(), await this.initializeContainerWithRetry(), await this.getFileAnalysis(), await b.Browser().storage.local.set({
            current_file_name: t.name
          }), console.log("Starting page render..."), await this.renderCurrentPage(), console.log("Page rendered successfully")
        } catch (n) {
          console.error("Error processing file:", n), this.error = n.message || this.__("Error processing file"), await this.cleanupResources()
        } finally {
          console.log("Setting isLoading to false"), this.isLoading = !1, this.isConverting = !1;
          const n = e.target;
          n.value = ""
        }

      async getFileAnalysis() {
        const e = "fileAnalysis";
        this.suggestionsKey = e;
        try {
          const t = await b.Browser().storage.local.get("current_file_name");
          if (this.ai_single && this.ai_single[e] && t && t.current_file_name === this.fileName) return;
          this.isGettingSuggestions = this.isGettingSummary = !0;
          let r = `You are a highly skilled AI assistant for analyzing file content. I need two things:

        1. A summary of the content in maximum 2 very short sentences. Start the summary with ##SUMMARY_START## and end with ##SUMMARY_END##

        2. Three topic-based question suggestions about the content. Each suggestion should focus on different aspects (one positive, one neutral, one negative) to help understand the file content better. Start each suggestion with ##SUGGESTION_START## and end with ##SUGGESTION_END##

        Do not include labels like "positive", "negative", or "neutral" in the output. Keep suggestions concise but informative.
        Respond in the ${this.settings.language_name} language.

        Content to analyze:
        """${this.pdfContent}"""`;
          this.running = !0;
          let n = Object.assign({}, this.emailData);
          n.mode = "fileAnalysis", this.uploadedFileId && (n.file_ids = [this.uploadedFileId]), console.log("Getting file analysis...");
          const i = this.uploadedFileId != null ? [this.uploadedFileId] : void 0;
          await this.aiChat(r, this.settings.ai_model, "ai_single", e, !0, !0, null, !1, n, i), console.log("File analysis completed.")
        } catch (t) {
          console.error("Error in getFileAnalysis:", t), this.notify.error(this.__("Error happened while analyzing file content"))
        } finally {
          this.isGettingSuggestions = this.isGettingSummary = !1, this.running = !1
        }
      },

  async chat(o = "", e = null, t = "ai_chat", i = "__all", n = !1, a = !1, l = null, r = !1, c = {}, f = !1, d = 0, p, h) {
    var te, ie;
    if (this.ai_wait) return;
    typeof this.aborting[i] < "u" && (this.aborting[i] = null);
    let _ = await s.Browser().storage.local.get(["settings", "credit_detail", "expires", "ai_image_url", "ai_chat_ids", "context_data", "selected_agent", t]);
    if (this.chat_selected_agent = s.notUndefined(_, "selected_agent"), await s.Browser().storage.local.set({
        ai_ask: null
      }), s.notUndefined(_, "context_data") && !(c != null && c.mode)) {
      const T = window.location.pathname,
        x = (te = _.context_data) == null ? void 0 : te.mode,
        H = {
          chatwithfile: "chat_with_file.html"
        };
      x && H[x] && T.endsWith(H[x]) && ((ie = _.context_data) != null && ie.contextData && (o = `##HIDDEN_CONTEXT_START##${_.context_data.contextData.context}##HIDDEN_CONTEXT_END##` + o), t = "ai_single", i = s.SHA1("chat_with_file"), n = !1, a = !1)
    }
    this.key_detail = await s.Browser().storage.local.get(["uuid_hopekey", "uuid_search"]), this.settings = s.notUndefined(_, "settings"), e == null && (e = g.ai_default_model);
    let v = this.settings.ai_image_model == e ? "image" : "text";
    e === null && (e = this.settings.ai_model), this.waiting(!0), this.credit_detail = s.notUndefined(_, "credit_detail"), typeof this.ai_all_response[i] > "u" && (this.ai_all_response[i] = {}), typeof this.ai_all_response[i][t] > "u" && (this.ai_all_response[i][t] = []);
    let w = s.notUndefined(_, `${t}`);
    typeof _.expires != null && (this.expires = _.expires);
    let S = {};
    typeof w == "string" ? (S = JSON.parse(w), Object.keys(S).length > 0 && Object.keys(S).forEach(T => {
      typeof this.ai_all_response[T] > "u" && (this.ai_all_response[T] = {}), this.ai_all_response[T][t] = Object.values(S[T])
    })) : (S = w, S != null && (t == "ai_chat" ? this.ai_all_response[i][t] = Object.values(S) : typeof S[i] < "u" && (this.ai_all_response[i][t] = Object.values(S[i])))), t == "ai_single" && n == !0 && r == !1 && typeof this.ai_all_response[i] < "u" && typeof this.ai_all_response[i][t] < "u" && (this.ai_all_response[i][t] = [], Object.keys(this.ai_all_response[i][t]).length > 0), this.uuid_search = s.notUndefined(this.key_detail, "uuid_search"), this.hopekey = s.notUndefined(this.key_detail, "uuid_hopekey"), document.querySelector("#aifnmjmchg-container");
    let y = `${g.api_url}/ai/send`;
    if (this.credit_detail != null) {
      let T = e;
      if (this.settings.web_access && (T = "GPT-4o"), typeof this.credit_detail[T] < "u" && this.credit_detail[T].balance < this.credit_detail[T].cost && this.credit_detail[T].credit != -999 && this.settings.ai_mode !== "api") {
        this.ai_all_response[i][t].forEach((x, H) => {
          x.role == "limit" && delete this.ai_all_response[i][t][H]
        }), this.ai_all_response[i][t] = Object.values(this.ai_all_response[i][t]), this.ai_all_response[i][t].push({
          item: "Usage Limit please upgrade plan.",
          role: "limit",
          model: e
        }), await this.setDataStorage(t, i), await this.waiting(!1);
        return
      }
    }
    let O = this.ai_all_response[i][t],
      b = 0,
      m = !1;
    Object.keys(this.ai_all_response[i][t]).length > 0 && !s.notUndefined(c, "search") && this.ai_all_response[i][t].forEach((T, x) => {
      b++, O != b && this.ai_all_response[i][t][x].loading == !0 && (this.ai_all_response[i][t][x].loading = !1, m = !0), T.role == "limit" && (delete this.ai_all_response[i][t][x], this.ai_all_response[i][t] = Object.values(this.ai_all_response[i][t]), m = !0)
    }), f && (this.is_group_chat = !0, m = !0), m && await this.setDataStorage(t, i);
    let U = "";
    this.count++;
    let B = "user";
    if (v == "image" && (B = "image"), (c == null || typeof c != "object") && (c = {}), (String(o).trim().length > 0 || B == "image") && r == !1 && (c.prompt_mode = a, d == 0)) {
      const T = {
        item: o,
        role: B,
        model: e,
        title: l,
        loading: B == "image",
        extra_data: c
      };
      h && Array.isArray(h) && h.length > 0 && (T.attachments = h), this.ai_all_response[i][t].push(T)
    }
    v != "image" && s.notUndefined(_, "ai_image_url") != null && s.notUndefined(_, "ai_image_url") !== "" && typeof c.search_mode > "u" && (this.settings.web_access = !1, c.ai_image_url = s.notUndefined(_, "ai_image_url"), await s.Browser().storage.local.set({
      ai_image_url: null
    }), await s.Browser().storage.local.remove(["ai_image_url"]));
    let k = s.ChatId(t, i);
    const $ = p && Array.isArray(p) && p.length > 0 ? p : void 0;
    let A = {
      history: this.ai_all_response[i][t],
      text: o,
      model: e,
      stream: v != "image",
      uuid_search: this.uuid_search,
      mode: t,
      prompt_mode: a,
      extra_key: i,
      extra_data: c,
      chat_id: k,
      language_detail: this.settings.language_detail,
      is_continue: r
    };
    $ && $.length > 0 && (A.file_ids = $);
    const L = this.settings.capabilities;
    L && typeof L == "object" && Object.values(L).some(T => T === !0) && (A.settings = L), this.uuid_extra_data = {
      chat_id: A.chat_id,
      history: A.history,
      mode: t
    }, this.settings.ai_key && this.settings.ai_mode == "api" && (A.token = this.settings.ai_key), this.settings.language && (A.lang_code = this.settings.language);
    let q = this.ai_all_response[i][t].length;
    (v == "image" || s.notUndefined(c, "search")) && (q = q - 1), q < 0 && (q = 0);
    let R = "";
    r == !0 && this.ai_all_response[i][t].forEach((T, x) => {
      typeof T.finish_reason < "u" && T.finish_reason == "length" && (T.finish_reason = "", q = x, U = R = T.item)
    }), this.ai_all_response[i][t].forEach((T, x) => {
      typeof T.finish_reason < "u" && T.finish_reason == "length" && (T.finish_reason = "stop")
    }), v != "image" && (this.ai_all_response[i][t][q] = {
      item: R,
      role: "system",
      model: e,
      loading: !0,
      title: l,
      extra_data: c
    }), await this.setDataStorage(t, i), this.aborting[i] = new AbortController;
    let V = document.querySelectorAll("#aifnmjmchg-stop-chat-" + t),
      G = document.querySelectorAll("#aifnmjmchg-stop-chat-" + t + " button");
    G != null && V != null && (V.forEach(T => {
      T.classList.remove("aifnmjmchg-hide"), T.classList.add("aifnmjmchg-show")
    }), this.aborting[i].signal.addEventListener("abort", () => {
      t == "ai_single" ? Object.values(this.ai_all_response[i][t]).length > 0 && this.ai_all_response[i][t].forEach((T, x) => {
        this.ai_all_response[i][t][x].loading = !1, this.ai_all_response[i][t][x].stop = !0
      }) : (this.ai_all_response[i][t][q].loading = !1, this.ai_all_response[i][t][q].stop = !0), this.setDataStorage(t, i), this.waiting(!1)
    }), Object.keys(G).length > 0 && G.forEach(T => {
      T.onclick = x => {
        this.aborting[i].abort(), this.waiting(!1);
        let H = {
          force: 1
        };
        this.is_group_chat && (H.extra_data = this.uuid_extra_data), s.sendMessage("uuid", H), V.forEach(Y => {
          Y.classList.add("aifnmjmchg-hide"), Y.classList.remove("aifnmjmchg-show")
        })
      }
    }));
    let ee = null;
    return await this.setDataStorage(t, i), ["image"].indexOf(v) !== -1 ? await this.imageApi(t, e, i, A, q, V, ee, y, U).finally(async () => await this.waiting(!1)) : s.notUndefined(this.settings, "web_access") == !0 && ["image"].indexOf(e) === -1 && r == !1 && i == "__all" && !s.notUndefined(c, "search") && o.length <= 2048 && a == !1 ? (s.Browser().web_access_mode = t, s.Browser().web_access_extra_key = i, s.sendMessage("GoogleSearchCall", o, "GoogleSearchCallback", "tabs")) : (s.notUndefined(_, "selected_agent._listkey") && !a && (A.extra_data.agent_id = s.notUndefined(_, "selected_agent._listkey")), await this.aiApi(t, e, i, A, q, V, ee, y, U, this).finally(async T => {
      await this.waiting(!1)
    }))
  },

  async aiApi(o, e, t, i, n, a, l, r, c, f = this) {
    let d = 0;
    return s.notUndefined(this.ai_all_response, `${t}`) || (f.ai_all_response[t] = {}), s.notUndefined(this.ai_all_response, `${t}.${o}`) || (f.ai_all_response[t][o] = {}), s.notUndefined(this.ai_all_response, `${t}.${o}.${n}`) || (f.ai_all_response[t][o][n] = {}), (this.hopekey ?? null) === null && (this.key_detail = await s.Browser().storage.local.get(["uuid_hopekey", "uuid_search"]), this.uuid_search = s.notUndefined(this.key_detail, "uuid_search"), this.hopekey = s.notUndefined(this.key_detail, "uuid_hopekey")), fetch(r, {
      headers: {
        accept: "text/plain",
        hopekey: this.hopekey || null
      },
      body: JSON.stringify(i),
      method: "POST",
      signal: this.aborting[t].signal
    }).then(async p => {
      const _ = p.body.getReader();
      let v = async () => _.read().then(async ({
        value: w,
        done: S
      }) => {
        if (await f.streamFormatter(w, S, t, o, n, d, f), d++, !S) return await v()
      }).catch(w => {
        if (f.waiting(!1), w instanceof DOMException && w.name == "AbortError") {
          document.querySelector(".ai_loading") != null && document.querySelector(".ai_loading").classList.remove("ai_loading"), f.ai_all_response[t][o][n]._abort = !0;
          return
        } else w.message == "network error" ? (f.ai_all_response[t][o][n].loading = !1, f.ai_all_response[t][o][n]._error = JSON.stringify(w), console.log(w.message)) : (f.ai_all_response[t][o][n].loading = !1, console.log(w.message, w.toString(), w), console.log(f.ai_all_response[t][o]), console.log(c ?? null), f.ai_all_response[t][o][n]._error = JSON.stringify(w));
        f.setDataStorage(o, t)
      });
      return await v()
    }).then(p => {}).catch(p => {
      this.waiting(!1), s.notUndefined(this.ai_all_response, `${t}.${o}.${n}`) && (this.ai_all_response[t][o][n].loading = !1, this.ai_all_response[t][o][n].loading = !1);
      let h = '<span class="aifnmjmchg-text-red-600">' + s.__("(Internet connection lost. Please try again)") + "</span>";
      a != null && a.forEach(_ => {
        _.classList.add("aifnmjmchg-hide"), _.classList.remove("aifnmjmchg-show")
      }), c.length > 0 && (h = c + `

` + h), s.notUndefined(this.ai_all_response, `${t}.${o}.${n}`) && (this.ai_all_response[t][o][n].item = h, f.ai_all_response[t][o][n]._error = JSON.stringify(p), this.setDataStorage(o, t)), console.log(p)
    })
  },

    ai_reply: {
      "mail.google.com": {
        reply_button: ".ams.bkH",
        button: ".amn",
        container: '[role="listitem"]:last-child',
        alternative_container: '[role="listitem"]:last-child',
        edit_container: '[role="listitem"] .editable',
        reply_insert_container: ".Am.Al.editable.LW-avf",
        dot_position: {
          bottom: "25%",
          left: "85%"
        },
        detail_elements: [{
          name: "history",
          selector: ".adL.gmail_quote,.adL .gmail_quote",
          mode: "simple",
          type: "textContent"
        }, {
          name: "sender_email",
          selector: ".gD[email]",
          mode: "attribute",
          type: "email"
        }, {
          name: "sender_name",
          selector: ".gD[name]",
          mode: "attribute",
          type: "name"
        }, {
          name: "receiver_email",
          selector: ".g2[email]",
          mode: "attribute",
          type: "email"
        }, {
          name: "receiver_name",
          selector: ".g2[name]",
          mode: "attribute",
          type: "name"
        }, {
          name: "email_content",
          selector: ".a3s > *",
          mode: "simple",
          type: "innerText"
        }]
      },

    getData(t = null, e = null, a = !1, l = !1) {
      if (z.ai_reply[window.location.hostname]) {
        const {
          reply_button: o,
          button: s,
          container: u,
          alternative_container: d,
          edit_container: p,
          reply_insert_container: m,
          dot_position: h,
          detail_elements: v
        } = z.ai_reply[window.location.hostname];
        if (l && this.last_data !== null && document.querySelector(p) !== null && document.querySelector("#aifnmjmchg-reply-wrapper-dot") !== null && this.last_data.email_content.length > 3) return this.last_data;
        t.EmailReply.reply_edit_container = null;
        let g = document.querySelector(u);
        if (g == null && d !== null && (g = document.querySelector(d)), g == null) return t.draggableModalToggle("ai-reply-popup", !1), t.draggableModalToggle("ai-reply-voice-settings", !1), this.reply_insert_text = t.EmailReply.reply_insert_text = null, null;
        if (t.EmailReply.keys = this.buildKeys(), this.keys = this.buildKeys(), g.querySelector(s) !== null ? (this.reply_button_container = null, this.reply_button_container = g.querySelector(s)) : document.querySelector(s) !== null && (this.reply_button_container = null, this.reply_button_container = document.querySelector(s)), this.dot_position = h, this.reply_edit_container = null, document.querySelector(p) !== null ? this.reply_edit_container = document.querySelector(p) : e !== null && (this.first_show = !1, t.draggableModalToggle("ai-reply-popup", !1), this.reply_insert_text = t.EmailReply.reply_insert_text = null), document.querySelector(m) !== null && (this.reply_insert_container = document.querySelector(m)), v && g !== null) {
          v.forEach(C => {
            let S = [];
            g.querySelectorAll(C.selector) !== null && (g.querySelectorAll(C.selector).forEach(A => {
              S.push(f.onSettingTypeByValue(C, A))
            }), z.ai_reply_data || (z.ai_reply_data = {}), typeof z.ai_reply_data[f.SHA1(window.location.hash)] > "u" && (z.ai_reply_data[f.SHA1(window.location.hash)] = {}), z.ai_reply_data[f.SHA1(window.location.hash)][C.name] = f.removeEmptyLines(S.join(`
`)))
          });
          let w = z.ai_reply_data[f.SHA1(window.location.hash)];
          return this.last_data && (this.last_data.email_content.length > 0 ? (w == null && (w = this.last_data), w.email_content || (w = this.last_data), w.email_content.length == 0 && (w = this.last_data), z.ai_reply_data[f.SHA1(window.location.hash)] = w) : this.last_data = null), this.last_data = w ?? this.last_data, !this.first_show && e !== null && this.last_data !== null && this.reply_edit_container !== null && (this.first_show = !0), a ? z.ai_reply_data[f.SHA1(window.location.hash)] : z.ai_reply_data
        }
      }
      return null
    },

    async sendSingleAi(t, e, a, l, o = null) {
      let s = z.reply_prompts[e],
        u = `${window.location.hash}#${a}`;
      if (typeof t.ai_prompts[`id_${s}`] < "u") {
        let d = t.ai_prompts[`id_${s}`],
          p = f.SHA1(u);
        await f.Browser().storage.local.get("delete_key").then(h => {
          let v = [];
          if (typeof h.delete_key < "u" && (v = h.delete_key), typeof v != "object" && (v = []), v.indexOf(p) === -1) return v.push(p), f.Browser().storage.local.set({
            delete_key: v
          })
        }), t.ai_single != null && typeof t.ai_single == "object" && typeof t.ai_single[p] < "u" && (t.ai_single[p] = {});
        let m = Object.assign({}, l);
        return m.mode = e, await He.build(t, u, o ?? l.email_content, z.ai_default_model, d.prompt, null, m, !1, s)
      }
    },

  async aiApi(o, e, t, i, n, a, l, r, c, f = this) {
    let d = 0;
    return s.notUndefined(this.ai_all_response, `${t}`) || (f.ai_all_response[t] = {}), s.notUndefined(this.ai_all_response, `${t}.${o}`) || (f.ai_all_response[t][o] = {}), s.notUndefined(this.ai_all_response, `${t}.${o}.${n}`) || (f.ai_all_response[t][o][n] = {}), (this.hopekey ?? null) === null && (this.key_detail = await s.Browser().storage.local.get(["uuid_hopekey", "uuid_search"]), this.uuid_search = s.notUndefined(this.key_detail, "uuid_search"), this.hopekey = s.notUndefined(this.key_detail, "uuid_hopekey")), fetch(r, {
      headers: {
        accept: "text/plain",
        hopekey: this.hopekey || null
      },
      body: JSON.stringify(i),
      method: "POST",
      signal: this.aborting[t].signal
    }).then(async p => {
      const _ = p.body.getReader();
      let v = async () => _.read().then(async ({
        value: w,
        done: S
      }) => {
        if (await f.streamFormatter(w, S, t, o, n, d, f), d++, !S) return await v()
      }).catch(w => {
        if (f.waiting(!1), w instanceof DOMException && w.name == "AbortError") {
          document.querySelector(".ai_loading") != null && document.querySelector(".ai_loading").classList.remove("ai_loading"), f.ai_all_response[t][o][n]._abort = !0;
          return
        } else w.message == "network error" ? (f.ai_all_response[t][o][n].loading = !1, f.ai_all_response[t][o][n]._error = JSON.stringify(w), console.log(w.message)) : (f.ai_all_response[t][o][n].loading = !1, console.log(w.message, w.toString(), w), console.log(f.ai_all_response[t][o]), console.log(c ?? null), f.ai_all_response[t][o][n]._error = JSON.stringify(w));
        f.setDataStorage(o, t)
      });
      return await v()
    }).then(p => {}).catch(p => {
      this.waiting(!1), s.notUndefined(this.ai_all_response, `${t}.${o}.${n}`) && (this.ai_all_response[t][o][n].loading = !1, this.ai_all_response[t][o][n].loading = !1);
      let h = '<span class="aifnmjmchg-text-red-600">' + s.__("(Internet connection lost. Please try again)") + "</span>";
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        _.classList.add("aifnmjmchg-hide"), _.classList.remove("aifnmjmchg-show")
      }), c.length > 0 && (h = c + `

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    })
  },

window.setCookie = (name, value, days, domain = null) => {
  let expiresStr = "";
  if (days) {
    const d = new Date();
    d.setTime(d.getTime() + days * 24 * 60 * 60 * 1000);
    expiresStr = "; expires=" + d.toUTCString();
  }
  if (domain == null) {
    domain = window.location.host;
    if (window.location.host.split(".").length > 2) {
      domain = "." + window.location.host.split(".").slice(1).join(".");
    }
  }
  document.cookie = `${name}=${value || ""}; ${expiresStr}; path=/; domain=${domain}; secure; SameSite=None`;
};

// Called for each allowed domain (aitopia.ai, chatgptextension.ai):
config.domainAllows.forEach(domain => {
  window.setCookie("hopekey", account.uuidHopekey, 360, "." + domain);
  if (browser.runtime.id !== manualExtensionId && browser.runtime.id) {
    window.setCookie("eref", browser.runtime.id, 360, "." + domain);
  }
  window.setCookie("aifnmjmchg_app", true, 360, "." + domain);
});