forked from Shinonome/dots-hyprland
Rearrange for tidier structure (#2212)
This commit is contained in:
@@ -0,0 +1,24 @@
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import QtQuick;
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/**
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* Represents a message in an AI conversation. (Kind of) follows the OpenAI API message structure.
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*/
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QtObject {
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property string role
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property string content
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property string rawContent
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property string fileMimeType
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property string fileUri
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property string localFilePath
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property string model
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property bool thinking: true
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property bool done: false
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property var annotations: []
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property var annotationSources: []
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property list<string> searchQueries: []
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property string functionName
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property var functionCall
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property string functionResponse
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property bool functionPending: false
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property bool visibleToUser: true
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}
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@@ -0,0 +1,32 @@
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import QtQuick;
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/**
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* An AI model representation.
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* - name: Friendly 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 code (like gpt-4.1 or gemini-2.5-flash)
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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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* - key_get_link: Link to get an API key
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* - key_get_description: Description of pricing and how to get an API key
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* - api_format: The API format of the model. Can be "openai" or "gemini". Default is "openai".
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* - extraParams: Extra parameters to be passed to the model. This is a JSON object.
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*/
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QtObject {
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property string name
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property string icon
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property string description
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property string homepage
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property string endpoint
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property string model
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property bool requires_key: true
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property string key_id
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property string key_get_link
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property string key_get_description
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property string api_format: "openai"
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property var tools
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property var extraParams: ({})
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}
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@@ -0,0 +1,12 @@
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import QtQuick
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QtObject {
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function buildEndpoint(model: AiModel): string { throw new Error("Not implemented") }
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function buildRequestData(model: AiModel, messages, systemPrompt: string, temperature: real, tools: list<var>, filePath: string) { throw new Error("Not implemented") }
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function buildAuthorizationHeader(apiKeyEnvVarName: string): string { throw new Error("Not implemented") }
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function parseResponseLine(line: string, message: AiMessageData) { throw new Error("Not implemented") }
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function onRequestFinished(message: AiMessageData): var { return {} } // Default: no special handling
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function reset() { } // Reset any internal state if needed
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function buildScriptFileSetup(filePath) { return "" } // Default: no setup
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function finalizeScriptContent(scriptContent: string): string { return scriptContent } // Optionally modify/finalize script
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}
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@@ -0,0 +1,241 @@
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import QtQuick
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import qs.modules.common.functions as CF
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ApiStrategy {
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readonly property string apiKeyEnvVarName: "API_KEY"
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readonly property string fileUriVarName: "file_uri"
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readonly property string fileMimeTypeVarName: "MIME_TYPE"
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readonly property string fileUriSubstitutionString: "{{ fileUriVarName }}"
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readonly property string fileMimeTypeSubstitutionString: "{{ fileMimeTypeVarName }}"
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property string buffer: ""
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function buildEndpoint(model: AiModel): string {
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const result = model.endpoint + `?key=\$\{${root.apiKeyEnvVarName}\}`
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// console.log("[AI] Endpoint: " + result);
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return result;
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}
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function buildRequestData(model: AiModel, messages, systemPrompt: string, temperature: real, tools: list<var>, filePath: string) {
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let contents = messages.map(message => {
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// console.log("[AI] Building request data for message:", JSON.stringify(message, null, 2));
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const geminiApiRoleName = (message.role === "assistant") ? "model" : message.role;
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const usingSearch = tools[0]?.google_search !== undefined
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if (!usingSearch && message.functionCall != undefined && message.functionName.length > 0) {
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return {
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"role": geminiApiRoleName,
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"parts": [{
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functionCall: {
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"name": message.functionName,
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}
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}]
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}
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}
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if (!usingSearch && message.functionResponse != undefined && message.functionName.length > 0) {
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return {
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"role": geminiApiRoleName,
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"parts": [{
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functionResponse: {
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"name": message.functionName,
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"response": { "content": message.functionResponse }
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}
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}]
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}
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}
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return {
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"role": geminiApiRoleName,
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"parts": [
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{ text: message.rawContent },
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...(message.fileUri && message.fileUri.length > 0 ? [{
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"file_data": {
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"mime_type": message.fileMimeType,
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"file_uri": message.fileUri
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}
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}] : [])
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]
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}
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})
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if (filePath && filePath.length > 0) {
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const trimmedFilePath = CF.FileUtils.trimFileProtocol(filePath);
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// Add file_data part to the last message's parts array
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contents[contents.length - 1].parts.unshift({
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file_data: {
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mime_type: fileMimeTypeSubstitutionString,
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file_uri: fileUriSubstitutionString
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}
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});
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}
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let baseData = {
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"contents": contents,
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"tools": tools,
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"system_instruction": {
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"parts": [{ text: systemPrompt }]
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},
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"generationConfig": {
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"temperature": temperature,
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},
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};
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// print("Gemini API call payload:", JSON.stringify(baseData, null, 2));
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return model.extraParams ? Object.assign({}, baseData, model.extraParams) : baseData;
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}
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function buildAuthorizationHeader(apiKeyEnvVarName: string): string {
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// Gemini doesn't use Authorization header, key is in URL
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return "";
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}
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function parseResponseLine(line, message) {
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if (line.startsWith("[")) {
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buffer += line.slice(1).trim();
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} else if (line === "]") {
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buffer += line.slice(0, -1).trim();
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return parseBuffer(message);
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} else if (line.startsWith(",")) {
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return parseBuffer(message);
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} else {
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buffer += line.trim();
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}
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return {};
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}
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function parseBuffer(message) {
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// console.log("[Ai] Gemini buffer: ", buffer);
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let finished = false;
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try {
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if (buffer.length === 0) return {};
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const dataJson = JSON.parse(buffer);
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// Uploaded file
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if (dataJson.uploadedFile) {
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message.fileUri = dataJson.uploadedFile.uri;
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message.fileMimeType = dataJson.uploadedFile.mimeType;
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return ({})
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}
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// No candidates?
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if (!dataJson.candidates) return {};
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// Finished?
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if (dataJson.candidates[0]?.finishReason) {
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finished = true;
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}
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// Function call handling
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if (dataJson.candidates[0]?.content?.parts[0]?.functionCall) {
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const functionCall = dataJson.candidates[0]?.content?.parts[0]?.functionCall;
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message.functionName = functionCall.name;
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message.functionCall = functionCall.name;
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const newContent = `\n\n[[ Function: ${functionCall.name}(${JSON.stringify(functionCall.args, null, 2)}) ]]\n`
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message.rawContent += newContent;
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message.content += newContent;
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return { functionCall: { name: functionCall.name, args: functionCall.args }, finished: finished };
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}
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// Normal text response
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const responseContent = dataJson.candidates[0]?.content?.parts[0]?.text
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message.rawContent += responseContent;
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message.content += responseContent;
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// Handle annotations and metadata
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const annotationSources = dataJson.candidates[0]?.groundingMetadata?.groundingChunks?.map(chunk => {
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return {
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"type": "url_citation",
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"text": chunk?.web?.title,
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"url": chunk?.web?.uri,
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}
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}) ?? [];
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const annotations = dataJson.candidates[0]?.groundingMetadata?.groundingSupports?.map(citation => {
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return {
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"type": "url_citation",
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"start_index": citation.segment?.startIndex,
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"end_index": citation.segment?.endIndex,
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"text": citation?.segment.text,
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"url": annotationSources[citation.groundingChunkIndices[0]]?.url,
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"sources": citation.groundingChunkIndices
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}
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});
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message.annotationSources = annotationSources;
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message.annotations = annotations;
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message.searchQueries = dataJson.candidates[0]?.groundingMetadata?.webSearchQueries ?? [];
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// Usage metadata
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if (dataJson.usageMetadata) {
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return {
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tokenUsage: {
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input: dataJson.usageMetadata.promptTokenCount ?? -1,
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output: dataJson.usageMetadata.candidatesTokenCount ?? -1,
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total: dataJson.usageMetadata.totalTokenCount ?? -1
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},
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finished: finished
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};
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}
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} catch (e) {
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console.log("[AI] Gemini: Could not parse buffer: ", e);
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message.rawContent += buffer;
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message.content += buffer;
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} finally {
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buffer = "";
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}
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return { finished: finished };
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}
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function onRequestFinished(message) {
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return parseBuffer(message);
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}
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function reset() {
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buffer = "";
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}
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function buildScriptFileSetup(filePath) {
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const trimmedFilePath = CF.FileUtils.trimFileProtocol(filePath);
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let content = ""
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// print("file path:", filePath)
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// print("trimmed file path:", trimmedFilePath)
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// print("escaped file path:", CF.StringUtils.shellSingleQuoteEscape(trimmedFilePath))
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content += `IMAGE_PATH='${CF.StringUtils.shellSingleQuoteEscape(trimmedFilePath)}'\n`;
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content += `${fileMimeTypeVarName}=$(file -b --mime-type "$IMAGE_PATH")\n`;
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content += 'NUM_BYTES=$(wc -c < "${IMAGE_PATH}")\n';
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content += 'tmp_header_file="/tmp/quickshell/ai/upload-header.tmp"\n';
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content += 'tmp_file_info_file="/tmp/quickshell/ai/file-info.json.tmp"\n';
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// Initial resumable request defining metadata.
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// The upload url is in the response headers dump them to a file.
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content += 'curl "https://generativelanguage.googleapis.com/upload/v1beta/files"'
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+ ` -H "x-goog-api-key: \$${apiKeyEnvVarName}"`
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+ ' -D $tmp_header_file'
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+ ' -H "X-Goog-Upload-Protocol: resumable"'
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+ ' -H "X-Goog-Upload-Command: start"'
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+ ' -H "X-Goog-Upload-Header-Content-Length: ${NUM_BYTES}"'
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+ ` -H "X-Goog-Upload-Header-Content-Type: \${${fileMimeTypeVarName}}"`
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+ ' -H "Content-Type: application/json"'
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+ ` -d "{'file': {'display_name': 'Image'}}" 2> /dev/null`
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+ '\n';
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// Get file upload header
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content += 'upload_url=$(grep -i "x-goog-upload-url: " "${tmp_header_file}" | cut -d" " -f2 | tr -d "\r")\n';
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content += 'rm "${tmp_header_file}"\n';
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// Upload the actual file
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content += 'curl "${upload_url}"'
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+ ` -H "x-goog-api-key: \$${apiKeyEnvVarName}"`
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+ ' -H "Content-Length: ${NUM_BYTES}"'
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+ ' -H "X-Goog-Upload-Offset: 0"'
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+ ' -H "X-Goog-Upload-Command: upload, finalize"'
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+ ' --data-binary "@${IMAGE_PATH}" 2> /dev/null > "${tmp_file_info_file}"'
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+ '\n';
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content += `${fileUriVarName}=$(jq -r ".file.uri" "$tmp_file_info_file")\n`
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content += `printf "{\\"uploadedFile\\": {\\"uri\\": \\"$${fileUriVarName}\\", \\"mimeType\\": \\"$${fileMimeTypeVarName}\\"}}\\n,\\n"\n`
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return content
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}
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function finalizeScriptContent(scriptContent: string): string {
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return scriptContent.replace(fileMimeTypeSubstitutionString, `'"\$${fileMimeTypeVarName}"'`)
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.replace(fileUriSubstitutionString, `'"\$${fileUriVarName}"'`);
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}
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}
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@@ -0,0 +1,135 @@
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import QtQuick
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ApiStrategy {
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property bool isReasoning: false
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function buildEndpoint(model: AiModel): string {
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// console.log("[AI] Endpoint: " + model.endpoint);
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return model.endpoint;
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}
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function buildRequestData(model: AiModel, messages, systemPrompt: string, temperature: real, tools: list<var>, filePath: string) {
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let baseData = {
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"model": model.model,
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"messages": [
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{role: "system", content: systemPrompt},
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...messages.map(message => {
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const hasFunctionCall = message.functionCall != undefined && message.functionName.length > 0
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let messageData = {
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"role": message.role,
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"content": message.rawContent,
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}
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if (hasFunctionCall) {
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if (message.functionResponse?.length > 0) {
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messageData.name = message.functionName; // Does the func call also need this name? or just the func output?
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messageData.role = "tool";
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messageData.content = message.functionResponse;
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messageData.tool_call_id = message.functionCall.id
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}
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}
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return messageData
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}),
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],
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"stream": true,
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"temperature": temperature,
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"tools": tools,
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};
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// console.log("[AI] Request data: ", JSON.stringify(baseData, null, 2));
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return model.extraParams ? Object.assign({}, baseData, model.extraParams) : baseData;
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}
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function buildAuthorizationHeader(apiKeyEnvVarName: string): string {
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return `-H "Authorization: Bearer \$\{${apiKeyEnvVarName}\}"`;
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}
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function parseResponseLine(line, message) {
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// Remove 'data: ' prefix if present and trim whitespace
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let cleanData = line.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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// Handle special cases
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if (!cleanData || cleanData.startsWith(":")) return {};
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if (cleanData === "[DONE]") {
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return { finished: true };
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}
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// Real stuff
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try {
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const dataJson = JSON.parse(cleanData);
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let newContent = "";
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|
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const responseContent = dataJson.choices[0]?.delta?.content || dataJson.message?.content;
|
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const responseReasoning = dataJson.choices[0]?.delta?.reasoning || dataJson.choices[0]?.delta?.reasoning_content;
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// Function call
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if (dataJson.choices[0]?.delta?.tool_calls) {
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const functionCall = dataJson.choices[0].delta.tool_calls[0];
|
||||
const functionName = functionCall.function.name;
|
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const functionArgs = JSON.parse(functionCall.function.arguments) || {}; // Args are given as string???
|
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const functionId = functionCall.id;
|
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const newContent = `\n\n[[ Function: ${functionName}(${JSON.stringify(functionArgs, null, 2)}) ]]\n`;
|
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message.rawContent += newContent;
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message.content += newContent;
|
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message.functionName = functionName;
|
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message.functionCall = functionName;
|
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return { functionCall: { name: functionName, args: functionArgs, id: functionId } };
|
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}
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|
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// Thinking?
|
||||
if (responseContent && responseContent.length > 0) {
|
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if (isReasoning) {
|
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isReasoning = false;
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const endBlock = "\n\n</think>\n\n";
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message.content += endBlock;
|
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message.rawContent += endBlock;
|
||||
}
|
||||
newContent = responseContent;
|
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} else if (responseReasoning && responseReasoning.length > 0) {
|
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if (!isReasoning) {
|
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isReasoning = true;
|
||||
const startBlock = "\n\n<think>\n\n";
|
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message.rawContent += startBlock;
|
||||
message.content += startBlock;
|
||||
}
|
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newContent = responseReasoning;
|
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}
|
||||
|
||||
// Text
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message.content += newContent;
|
||||
message.rawContent += newContent;
|
||||
|
||||
// Usage metadata
|
||||
if (dataJson.usage) {
|
||||
return {
|
||||
tokenUsage: {
|
||||
input: dataJson.usage.prompt_tokens ?? -1,
|
||||
output: dataJson.usage.completion_tokens ?? -1,
|
||||
total: dataJson.usage.total_tokens ?? -1
|
||||
}
|
||||
};
|
||||
}
|
||||
|
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if (`dataJson`.done) {
|
||||
return { finished: true };
|
||||
}
|
||||
|
||||
} catch (e) {
|
||||
console.log("[AI] Mistral: Could not parse line: ", e);
|
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message.rawContent += line;
|
||||
message.content += line;
|
||||
}
|
||||
|
||||
return {};
|
||||
}
|
||||
|
||||
function onRequestFinished(message) {
|
||||
return {};
|
||||
}
|
||||
|
||||
function reset() {
|
||||
isReasoning = false;
|
||||
}
|
||||
|
||||
}
|
||||
@@ -0,0 +1,111 @@
|
||||
import QtQuick
|
||||
|
||||
ApiStrategy {
|
||||
property bool isReasoning: false
|
||||
|
||||
function buildEndpoint(model: AiModel): string {
|
||||
// console.log("[AI] Endpoint: " + model.endpoint);
|
||||
return model.endpoint;
|
||||
}
|
||||
|
||||
function buildRequestData(model: AiModel, messages, systemPrompt: string, temperature: real, tools: list<var>, filePath: string) {
|
||||
let baseData = {
|
||||
"model": model.model,
|
||||
"messages": [
|
||||
{role: "system", content: systemPrompt},
|
||||
...messages.map(message => {
|
||||
return {
|
||||
"role": message.role,
|
||||
"content": message.rawContent,
|
||||
}
|
||||
}),
|
||||
],
|
||||
"stream": true,
|
||||
"tools": tools,
|
||||
"temperature": temperature,
|
||||
};
|
||||
return model.extraParams ? Object.assign({}, baseData, model.extraParams) : baseData;
|
||||
}
|
||||
|
||||
function buildAuthorizationHeader(apiKeyEnvVarName: string): string {
|
||||
return `-H "Authorization: Bearer \$\{${apiKeyEnvVarName}\}"`;
|
||||
}
|
||||
|
||||
function parseResponseLine(line, message) {
|
||||
// Remove 'data: ' prefix if present and trim whitespace
|
||||
let cleanData = line.trim();
|
||||
if (cleanData.startsWith("data:")) {
|
||||
cleanData = cleanData.slice(5).trim();
|
||||
}
|
||||
|
||||
// console.log("[AI] OpenAI: Data:", cleanData);
|
||||
|
||||
// Handle special cases
|
||||
if (!cleanData || cleanData.startsWith(":")) return {};
|
||||
if (cleanData === "[DONE]") {
|
||||
return { finished: true };
|
||||
}
|
||||
|
||||
// Real stuff
|
||||
try {
|
||||
const dataJson = JSON.parse(cleanData);
|
||||
let newContent = "";
|
||||
|
||||
const responseContent = dataJson.choices[0]?.delta?.content || dataJson.message?.content;
|
||||
const responseReasoning = dataJson.choices[0]?.delta?.reasoning || dataJson.choices[0]?.delta?.reasoning_content;
|
||||
|
||||
if (responseContent && responseContent.length > 0) {
|
||||
if (isReasoning) {
|
||||
isReasoning = false;
|
||||
const endBlock = "\n\n</think>\n\n";
|
||||
message.content += endBlock;
|
||||
message.rawContent += endBlock;
|
||||
}
|
||||
newContent = responseContent;
|
||||
} else if (responseReasoning && responseReasoning.length > 0) {
|
||||
if (!isReasoning) {
|
||||
isReasoning = true;
|
||||
const startBlock = "\n\n<think>\n\n";
|
||||
message.rawContent += startBlock;
|
||||
message.content += startBlock;
|
||||
}
|
||||
newContent = responseReasoning;
|
||||
}
|
||||
|
||||
message.content += newContent;
|
||||
message.rawContent += newContent;
|
||||
|
||||
// Usage metadata
|
||||
if (dataJson.usage) {
|
||||
return {
|
||||
tokenUsage: {
|
||||
input: dataJson.usage.prompt_tokens ?? -1,
|
||||
output: dataJson.usage.completion_tokens ?? -1,
|
||||
total: dataJson.usage.total_tokens ?? -1
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
if (dataJson.done) {
|
||||
return { finished: true };
|
||||
}
|
||||
|
||||
} catch (e) {
|
||||
console.log("[AI] OpenAI: Could not parse line: ", e);
|
||||
message.rawContent += line;
|
||||
message.content += line;
|
||||
}
|
||||
|
||||
return {};
|
||||
}
|
||||
|
||||
function onRequestFinished(message) {
|
||||
// OpenAI format doesn't need special finish handling
|
||||
return {};
|
||||
}
|
||||
|
||||
function reset() {
|
||||
isReasoning = false;
|
||||
}
|
||||
|
||||
}
|
||||
Reference in New Issue
Block a user