forked from Shinonome/dots-hyprland
ai chat: make it work with online models
This commit is contained in:
@@ -1,6 +1,7 @@
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pragma Singleton
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pragma ComponentBehavior: Bound
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import "root:/modules/common/functions/string_utils.js" as StringUtils
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import "root:/modules/common"
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import Quickshell;
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import Quickshell.Io;
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@@ -10,36 +11,47 @@ import QtQuick;
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Singleton {
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id: root
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readonly property string interfaceRole: "interface"
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property Component aiMessageComponent: AiMessageData {}
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property var messages: []
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property var modelList: ["ollama-llama-3.2", "gemini-2.0-flash"]
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readonly property var apiKeys: KeyringStorage.keyringData?.apiKeys ?? {}
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// Model properties:
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// - name: Name of the model
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// - icon: Icon name of the model
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// - description: Description of the model
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// - endpoint: Endpoint of the model
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// - model: Model name of the model
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// - requires_key: Whether the model requires an API key
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// - key_id: The identifier of the API key. Use the same identifier for models that can be accessed with the same key.
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property var models: { // TODO: Auto-detect installed ollama models
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"interface": {
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"name": "System",
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"name": "Interface",
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},
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"ollama-llama-3.2": {
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"name": "Ollama - Llama 3.2",
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"icon": "ollama-symbolic",
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"description": "Local Ollama model - Llama 3.2",
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"endpoint": "http://localhost:11434/api/chat",
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"endpoint": "http://localhost:11434/v1/chat/completions",
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"model": "llama3.2",
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},
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"gemini-2.0-flash": {
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"name": "Gemini 2.0 Flash",
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"icon": "gemini-symbolic",
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"icon": "google-gemini-symbolic",
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"description": "Online Gemini 2.0 Flash",
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"endpoint": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:streamGenerateContent",
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"endpoint": "https://generativelanguage.googleapis.com/v1beta/openai/chat/completions",
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"model": "gemini-2.0-flash",
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"messageMapFunc": function (message) {
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return {
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"role": message.role,
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"parts": [{text: message.content}],
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}
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},
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"requires_key": true,
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"key_id": "gemini",
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},
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}
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property var currentModel: "ollama-llama-3.2"
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Component.onCompleted: {
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setModel(currentModel, false); // Do necessary setup for model
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}
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function addMessage(message, role) {
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if (message.length === 0) return;
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const aiMessage = aiMessageComponent.createObject(root, {
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@@ -51,14 +63,45 @@ Singleton {
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root.messages = [...root.messages, aiMessage];
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}
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function setModel(model) {
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function setModel(model, feedback = true) {
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if (!model) model = ""
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model = model.toLowerCase()
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if (modelList.indexOf(model) !== -1) {
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currentModel = model
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root.addMessage("Model set to " + models[model].name, "interface")
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if (feedback) root.addMessage("Model set to " + models[model].name, Ai.interfaceRole)
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} else {
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root.addMessage(qsTr("Invalid model. Supported: \n- ") + modelList.join("\n- "), "interface")
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if (feedback) root.addMessage(qsTr("Invalid model. Supported: \n- ") + modelList.join("\n- "), Ai.interfaceRole)
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}
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if (models[model].requires_key) {
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KeyringStorage.fetchKeyringData();
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}
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}
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function setApiKey(key) {
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if (!key || key.length === 0) {
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root.addMessage("Please enter an API key with the command", Ai.interfaceRole);
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return;
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}
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const model = models[currentModel];
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if (model.requires_key) {
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KeyringStorage.setNestedField(["apiKeys", model.key_id], key);
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root.addMessage("API key set for " + model.name, Ai.interfaceRole);
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} else {
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root.addMessage(`This model (${model.name}) does not require an API key`, Ai.interfaceRole);
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}
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}
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function printApiKey() {
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const model = models[currentModel];
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if (model.requires_key) {
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const key = root.apiKeys[model.key_id];
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if (key) {
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root.addMessage("API key:\n\n- `" + key, Ai.interfaceRole + "`");
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} else {
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root.addMessage("No API key set for " + model.name, Ai.interfaceRole);
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}
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} else {
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root.addMessage(`This model (${model.name}) does not require an API key`, Ai.interfaceRole);
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}
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}
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@@ -68,30 +111,41 @@ Singleton {
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Process {
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id: requester
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property var baseCommand: ["curl", "--no-buffer"]
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property var baseCommand: ["bash", "-c"]
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property var message
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function makeRequest() {
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const model = models[currentModel];
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let endpoint = model.endpoint;
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// Build request data using OpenAI's format. If the model has a custom requestDataBuilder, use that instead.
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let data = model.requestDataBuilder ? model.requestDataBuilder(root.messages.filter(message => (message.role != "interface"))) : {
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/* Build request data and headers */
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let baseData = {
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"model": model.model,
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"messages": root.messages.filter(message => (message.role != "interface")).map(message => {
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return { // Remove unecessary properties
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"messages": root.messages.filter(message => (message.role != Ai.interfaceRole)).map(message => {
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return {
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"role": message.role,
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"content": message.content,
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}
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}),
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}
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"stream": true,
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};
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let data = model.extraParams ? Object.assign({}, baseData, model.extraParams) : baseData;
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let requestHeaders = {
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"Content-Type": "application/json",
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// "Authorization": model.endpoint.startsWith("http") ? "Bearer " + model.apiKey : "",
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}
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/* Put API key in environment variable */
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if (model.requires_key) requester.environment = ({
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"API_KEY": root.apiKeys ? (root.apiKeys[model.key_id] ?? "") : "",
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})
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console.log(JSON.stringify(root.apiKeys))
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console.log("Model:", model.key_id);
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console.log(root.apiKeys[model.key_id]);
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console.log("API key: ", requester.environment.API_KEY);
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/* Create message object for local storage */
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requester.message = root.aiMessageComponent.createObject(root, {
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"role": "assistant",
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"model": currentModel,
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@@ -100,21 +154,56 @@ Singleton {
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"done": false,
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});
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root.messages = [...root.messages, requester.message];
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requester.command = baseCommand.concat([endpoint, "-d", JSON.stringify(data)]);
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console.log("Request command: ", requester.command.join(" "));
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/* Build header string for curl */
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let headerString = Object.entries(requestHeaders)
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.filter(([k, v]) => v && v.length > 0)
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.map(([k, v]) => `-H '${k}: ${v}'`)
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.join(' ');
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console.log("Request headers: ", JSON.stringify(requestHeaders));
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console.log("Header string: ", headerString);
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/* Create command string */
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const requestCommandString = `curl --no-buffer '${endpoint}'`
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+ ` ${headerString}`
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+ ' -H "Authorization: Bearer ${API_KEY}"'
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+ ` -d '${StringUtils.shellSingleQuoteEscape(JSON.stringify(data))}'`
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// const requestCommandString = 'notify-send "api key" "${API_KEY}" && curl'
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console.log("Request command: ", requestCommandString);
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requester.command = baseCommand.concat([requestCommandString]);
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requester.running = true
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}
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stdout: SplitParser {
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onRead: data => {
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// console.log("Received data: ", data);
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if (data.length === 0) return;
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const dataJson = JSON.parse(data);
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// Remove 'data: ' prefix if present and trim whitespace
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let cleanData = data.trim();
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if (cleanData.startsWith("data:")) {
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cleanData = cleanData.slice(5).trim();
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}
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console.log("Clean data: ", cleanData);
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if (!cleanData) return;
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if (requester.message.thinking) requester.message.thinking = false;
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try {
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if (cleanData === "[DONE]") {
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requester.message.done = true;
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return;
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}
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const dataJson = JSON.parse(cleanData);
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requester.message.content +=
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(dataJson.message?.content) ?? // Ollama
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(dataJson.choices[0]?.delta?.content) ?? // Normal
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(dataJson.choices[0]?.delta?.reasoning_content) // Deepseek thinking
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requester.message.content += dataJson.message.content
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if (dataJson.done) requester.message.done = true;
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if (dataJson.done) requester.message.done = true;
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} catch (e) {
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console.log("Error parsing JSON: ", e);
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requester.message.content += cleanData;
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}
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}
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}
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}
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