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https://github.com/danbulant/dots-hyprland
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gemini: search capabilities
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parent
b99fe14214
commit
c57772aa9d
1 changed files with 126 additions and 63 deletions
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@ -13,6 +13,7 @@ Singleton {
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readonly property string xdgConfigHome: StandardPaths.standardLocations(StandardPaths.ConfigLocation)[0]
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readonly property string interfaceRole: "interface"
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readonly property string apiKeyEnvVarName: "API_KEY"
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property Component aiMessageComponent: AiMessageData {}
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property var messages: []
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readonly property var apiKeys: KeyringStorage.keyringData?.apiKeys ?? {}
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@ -27,23 +28,17 @@ Singleton {
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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 the API key
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property var models: {
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"gemini-2.0-flash": {
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"gemini-2.0-flash-gemini-api": {
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"name": "Gemini 2.0 Flash",
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"icon": "google-gemini-symbolic",
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"description": "Online | Google's model",
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"description": "Online | Google's model | Has search capabilities, giving you up-to-date information",
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"homepage": "https://aistudio.google.com",
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"endpoint": "https://generativelanguage.googleapis.com/v1beta/openai/chat/completions",
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"endpoint": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:streamGenerateContent",
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"model": "gemini-2.0-flash",
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"requires_key": true,
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"key_id": "gemini",
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"key_get_link": "https://aistudio.google.com/app/apikey",
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// "extraParams": {
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// "tools": [
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// {
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// "google_search": {}
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// }
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// ]
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// }
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"api_format": "gemini",
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},
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"openrouter-llama4-maverick": {
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"name": "Llama 4 Maverick (OpenRouter)",
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@ -197,15 +192,37 @@ Singleton {
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property var baseCommand: ["bash", "-c"]
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property var message
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property bool isReasoning
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property string apiFormat: "openai"
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property string geminiBuffer: ""
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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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function buildGeminiEndpoint(model) {
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// console.log("ENDPOINT: " + model.endpoint + `?key=\$\{${root.apiKeyEnvVarName}\}`)
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return model.endpoint + `?key=\$\{${root.apiKeyEnvVarName}\}`;
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}
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/* Build request data and headers */
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function buildOpenAIEndpoint(model) {
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return model.endpoint;
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}
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function buildGeminiRequestData(model, messages) {
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let baseData = {
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"contents": messages.filter(message => (message.role != Ai.interfaceRole)).map(message => ({
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"role": message.role,
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"parts": [{ text: message.content }]
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})),
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"tools": [
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{
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"google_search": {}
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}
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]
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};
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return model.extraParams ? Object.assign({}, baseData, model.extraParams) : baseData;
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}
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function buildOpenAIRequestData(model, messages) {
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let baseData = {
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"model": model.model,
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"messages": root.messages.filter(message => (message.role != Ai.interfaceRole)).map(message => {
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"messages": 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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@ -213,19 +230,25 @@ Singleton {
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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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return model.extraParams ? Object.assign({}, baseData, model.extraParams) : baseData;
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}
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function makeRequest() {
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const model = models[currentModel];
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requester.apiFormat = model.api_format ?? "openai";
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/* Put API key in environment variable */
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if (model.requires_key) requester.environment[`${root.apiKeyEnvVarName}`] = root.apiKeys ? (root.apiKeys[model.key_id] ?? "") : ""
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/* Build endpoint, request data */
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const endpoint = (apiFormat === "gemini") ? buildGeminiEndpoint(model) : buildOpenAIEndpoint(model);
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const data = (apiFormat === "gemini") ? buildGeminiRequestData(model, root.messages) : buildOpenAIRequestData(model, root.messages);
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let requestHeaders = {
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"Content-Type": "application/json",
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}
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/* Put API key in environment variable */
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if (model.requires_key) requester.environment = ({
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"API_KEY": root.apiKeys ? (root.apiKeys[model.key_id] ?? "") : "",
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})
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/* Create message object for local storage */
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/* Create local message object */
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requester.message = root.aiMessageComponent.createObject(root, {
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"role": "assistant",
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"model": currentModel,
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@ -245,9 +268,9 @@ Singleton {
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// console.log("Header string: ", headerString);
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/* Create command string */
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const requestCommandString = `curl --no-buffer '${endpoint}'`
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const requestCommandString = `curl --no-buffer "${endpoint}"`
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+ ` ${headerString}`
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+ ' -H "Authorization: Bearer ${API_KEY}"'
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+ ((apiFormat == "gemini") ? "" : ` -H "Authorization: Bearer \$\{${root.apiKeyEnvVarName}\}"`)
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+ ` -d '${StringUtils.shellSingleQuoteEscape(JSON.stringify(data))}'`
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// console.log("Request command: ", requestCommandString);
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requester.command = baseCommand.concat([requestCommandString]);
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@ -257,59 +280,99 @@ Singleton {
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requester.running = true
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}
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function parseGeminiBuffer() {
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const dataJson = JSON.parse(requester.geminiBuffer);
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const responseContent = dataJson.candidates[0]?.content?.parts[0]?.text
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requester.message.content += responseContent;
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requester.geminiBuffer = "";
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}
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function handleGeminiResponseLine(line) {
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if (line.startsWith("[")) {
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requester.geminiBuffer += line.slice(1).trim();
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} else if (line == "]") {
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requester.geminiBuffer += line.slice(0, -1).trim();
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parseGeminiBuffer();
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requester.message.done = true;
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} else if (line.startsWith(",")) { // end of one entry
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parseGeminiBuffer();
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} else {
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requester.geminiBuffer += line.trim();
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}
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}
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function handleOpenAIResponseLine(line) {
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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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// console.log("Clean data: ", cleanData);
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if (!cleanData ||
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cleanData === ": OPENROUTER PROCESSING"
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) return;
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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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let newContent = "";
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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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if (responseContent && responseContent.length > 0) {
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if (requester.isReasoning) {
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requester.isReasoning = false;
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requester.message.content += "\n\n</think>\n\n";
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}
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newContent = dataJson.choices[0]?.delta?.content || dataJson.message.content;
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} else if (responseReasoning && responseReasoning.length > 0) {
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// console.log("Reasoning content: ", dataJson.choices[0].delta.reasoning);
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if (!requester.isReasoning) {
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requester.isReasoning = true;
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requester.message.content += "\n\n<think>\n\n";
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}
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newContent = dataJson.choices[0].delta.reasoning || dataJson.choices[0].delta.reasoning_content;
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}
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requester.message.content += newContent;
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if (dataJson.done) requester.message.done = true;
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}
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stdout: SplitParser {
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onRead: data => {
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console.log("RAW DATA: ", data);
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if (data.length === 0) return;
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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 ||
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cleanData === ": OPENROUTER PROCESSING"
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) return;
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// Handle response line
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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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if (requester.apiFormat === "gemini") {
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requester.handleGeminiResponseLine(data);
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}
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const dataJson = JSON.parse(cleanData);
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let newContent = "";
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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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if (responseContent && responseContent.length > 0) {
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if (requester.isReasoning) {
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requester.isReasoning = false;
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requester.message.content += "\n\n</think>\n\n";
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}
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newContent = dataJson.choices[0]?.delta?.content || dataJson.message.content;
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} else if (responseReasoning && responseReasoning.length > 0) {
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// console.log("Reasoning content: ", dataJson.choices[0].delta.reasoning);
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if (!requester.isReasoning) {
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requester.isReasoning = true;
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requester.message.content += "\n\n<think>\n\n";
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}
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newContent = dataJson.choices[0].delta.reasoning || dataJson.choices[0].delta.reasoning_content;
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else if (requester.apiFormat === "openai") {
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requester.handleOpenAIResponseLine(data);
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}
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else {
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console.log("Unknown API format: ", requester.apiFormat);
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requester.message.content += data;
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}
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requester.message.content += newContent;
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if (dataJson.done) requester.message.done = true;
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} catch (e) {
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console.log("[AI] Could not parse response from stream: ", e);
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requester.message.content += cleanData;
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requester.message.content += data;
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}
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}
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}
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onExited: (exitCode, exitStatus) => {
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try { // to parse full response into json
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requester.message.done = true;
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if (requester.apiFormat == "gemini") requester.parseGeminiBuffer();
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try { // to parse full response into json for error handling
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// console.log("Full response: ", requester.message.content + "]");
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const parsedResponse = JSON.parse(requester.message.content + "]");
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requester.message.content = `\`\`\`json\n${JSON.stringify(parsedResponse, null, 2)}\n\`\`\``;
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