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Fix : Gemini JSON Format Answer fixed to plain text answer

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This commit is contained in:
Surya 2025-07-08 15:54:04 +05:30
parent 02cd22b1f1
commit 5cc0d2b83a
3 changed files with 193 additions and 302 deletions
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66
package-lock.json generated
View File

@ -1,18 +1,16 @@
{
"name": "pickle-glass",
"version": "0.2.1",
"version": "0.2.2",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "pickle-glass",
"version": "0.2.1",
"version": "0.2.2",
"hasInstallScript": true,
"license": "GPL-3.0",
"dependencies": {
"@anthropic-ai/sdk": "^0.56.0",
"@google/genai": "^1.8.0",
"@google/generative-ai": "^0.24.1",
"axios": "^1.10.0",
@ -54,7 +52,6 @@
"electron-liquid-glass": "^1.0.1"
}
},
"node_modules/@anthropic-ai/sdk": {
"version": "0.56.0",
"resolved": "https://registry.npmjs.org/@anthropic-ai/sdk/-/sdk-0.56.0.tgz",
@ -64,7 +61,6 @@
"anthropic-ai-sdk": "bin/cli"
}
},
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"resolved": "https://registry.npmjs.org/@develar/schema-utils/-/schema-utils-2.6.5.tgz",
@ -889,11 +885,9 @@
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@ -901,11 +895,9 @@
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@ -920,11 +912,9 @@
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@ -939,11 +929,9 @@
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@ -958,11 +946,9 @@
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@ -977,11 +963,9 @@
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@ -996,11 +980,9 @@
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@ -1015,11 +997,9 @@
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@ -1034,11 +1014,9 @@
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@ -1053,11 +1031,9 @@
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@ -1072,11 +1048,9 @@
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@ -1091,11 +1065,9 @@
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},
"node_modules/@esbuild/linux-ia32": {
"version": "0.25.6",
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"cpu": [
"ia32"
],
@ -1110,11 +1082,9 @@
}
},
"node_modules/@esbuild/linux-loong64": {
"version": "0.25.6",
"resolved": "https://registry.npmjs.org/@esbuild/linux-loong64/-/linux-loong64-0.25.6.tgz",
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"cpu": [
"loong64"
],
@ -1129,11 +1099,9 @@
}
},
"node_modules/@esbuild/linux-mips64el": {
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"resolved": "https://registry.npmjs.org/@esbuild/linux-mips64el/-/linux-mips64el-0.25.6.tgz",
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"cpu": [
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],
@ -1148,11 +1116,9 @@
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},
"node_modules/@esbuild/linux-ppc64": {
"version": "0.25.6",
"resolved": "https://registry.npmjs.org/@esbuild/linux-ppc64/-/linux-ppc64-0.25.6.tgz",
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"cpu": [
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@ -1167,11 +1133,9 @@
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"node_modules/@esbuild/linux-riscv64": {
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"resolved": "https://registry.npmjs.org/@esbuild/linux-riscv64/-/linux-riscv64-0.25.6.tgz",
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],
@ -1186,11 +1150,9 @@
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},
"node_modules/@esbuild/linux-s390x": {
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"cpu": [
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@ -1205,11 +1167,9 @@
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@ -1224,11 +1184,9 @@
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@ -1243,11 +1201,9 @@
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@ -1262,11 +1218,9 @@
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"cpu": [
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],
@ -1281,11 +1235,9 @@
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},
"node_modules/@esbuild/openbsd-x64": {
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"resolved": "https://registry.npmjs.org/@esbuild/openbsd-x64/-/openbsd-x64-0.25.6.tgz",
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"cpu": [
"x64"
],
@ -1299,7 +1251,6 @@
"node": ">=18"
}
},
"node_modules/@esbuild/openharmony-arm64": {
"version": "0.25.6",
"resolved": "https://registry.npmjs.org/@esbuild/openharmony-arm64/-/openharmony-arm64-0.25.6.tgz",
@ -1321,7 +1272,6 @@
"version": "0.25.6",
"resolved": "https://registry.npmjs.org/@esbuild/sunos-x64/-/sunos-x64-0.25.6.tgz",
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"cpu": [
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],
@ -1336,11 +1286,9 @@
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},
"node_modules/@esbuild/win32-arm64": {
"version": "0.25.6",
"resolved": "https://registry.npmjs.org/@esbuild/win32-arm64/-/win32-arm64-0.25.6.tgz",
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"cpu": [
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],
@ -1355,11 +1303,9 @@
}
},
"node_modules/@esbuild/win32-ia32": {
"version": "0.25.6",
"resolved": "https://registry.npmjs.org/@esbuild/win32-ia32/-/win32-ia32-0.25.6.tgz",
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],
@ -1374,11 +1320,9 @@
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"node_modules/@esbuild/win32-x64": {
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"cpu": [
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],
@ -3255,11 +3199,9 @@
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"node_modules/agent-base": {
"version": "7.1.4",
"resolved": "https://registry.npmjs.org/agent-base/-/agent-base-7.1.4.tgz",
"integrity": "sha512-MnA+YT8fwfJPgBx3m60MNqakm30XOkyIoH1y6huTQvC0PwZG7ki8NacLBcrPbNoo8vEZy7Jpuk7+jMO+CUovTQ==",
"license": "MIT",
"engines": {
"node": ">= 14"
@ -6055,11 +5997,9 @@
"optional": true
},
"node_modules/esbuild": {
"version": "0.25.6",
"resolved": "https://registry.npmjs.org/esbuild/-/esbuild-0.25.6.tgz",
"integrity": "sha512-GVuzuUwtdsghE3ocJ9Bs8PNoF13HNQ5TXbEi2AhvVb8xU1Iwt9Fos9FEamfoee+u/TOsn7GUWc04lz46n2bbTg==",
"dev": true,
"hasInstallScript": true,
"license": "MIT",
@ -6070,7 +6010,6 @@
"node": ">=18"
},
"optionalDependencies": {
"@esbuild/aix-ppc64": "0.25.6",
"@esbuild/android-arm": "0.25.6",
"@esbuild/android-arm64": "0.25.6",
@ -6097,7 +6036,6 @@
"@esbuild/win32-arm64": "0.25.6",
"@esbuild/win32-ia32": "0.25.6",
"@esbuild/win32-x64": "0.25.6"
}
},
"node_modules/escalade": {

10
pickleglass_web/package-lock.json generated
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@ -42,27 +42,21 @@
}
},
"node_modules/@emnapi/core": {
"version": "1.4.4",
"resolved": "https://registry.npmjs.org/@emnapi/core/-/core-1.4.4.tgz",
"integrity": "sha512-A9CnAbC6ARNMKcIcrQwq6HeHCjpcBZ5wSx4U01WXCqEKlrzB9F9315WDNHkrs2xbx7YjjSxbUYxuN6EQzpcY2g==",
"dev": true,
"license": "MIT",
"optional": true,
"dependencies": {
"@emnapi/wasi-threads": "1.0.3",
"tslib": "^2.4.0"
}
},
"node_modules/@emnapi/runtime": {
"version": "1.4.4",
"resolved": "https://registry.npmjs.org/@emnapi/runtime/-/runtime-1.4.4.tgz",
"integrity": "sha512-hHyapA4A3gPaDCNfiqyZUStTMqIkKRshqPIuDOXv1hcBnD4U3l8cP0T1HMCfGRxQ6V64TGCcoswChANyOAwbQg==",
"dev": true,
"license": "MIT",
"optional": true,
@ -71,11 +65,9 @@
}
},
"node_modules/@emnapi/wasi-threads": {
"version": "1.0.3",
"resolved": "https://registry.npmjs.org/@emnapi/wasi-threads/-/wasi-threads-1.0.3.tgz",
"integrity": "sha512-8K5IFFsQqF9wQNJptGbS6FNKgUTsSRYnTqNCG1vPP8jFdjSv18n2mQfJpkt2Oibo9iBEzcDnDxNwKTzC7svlJw==",
"dev": true,
"license": "MIT",
"optional": true,
@ -2675,11 +2667,9 @@
"license": "MIT"
},
"node_modules/electron-to-chromium": {
"version": "1.5.180",
"resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.5.180.tgz",
"integrity": "sha512-ED+GEyEh3kYMwt2faNmgMB0b8O5qtATGgR4RmRsIp4T6p7B8vdMbIedYndnvZfsaXvSzegtpfqRMDNCjjiSduA==",
"license": "ISC"
},
"node_modules/emoji-regex": {

371
src/common/ai/providers/gemini.js
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@ -1,5 +1,5 @@
const { GoogleGenerativeAI } = require('@google/generative-ai');
const { GoogleGenAI } = require('@google/genai');
const { GoogleGenerativeAI } = require("@google/generative-ai")
const { GoogleGenAI } = require("@google/genai")
/**
* Creates a Gemini STT session
@ -9,322 +9,285 @@ const { GoogleGenAI } = require('@google/genai');
* @param {object} [opts.callbacks] - Event callbacks
* @returns {Promise<object>} STT session
*/
async function createSTT({ apiKey, language = 'en-US', callbacks = {}, ...config }) {
const liveClient = new GoogleGenAI({ vertexai: false, apiKey });
async function createSTT({ apiKey, language = "en-US", callbacks = {}, ...config }) {
const liveClient = new GoogleGenAI({ vertexai: false, apiKey })
// Language code BCP-47 conversion
const lang = language.includes('-') ? language : `${language}-US`;
const lang = language.includes("-") ? language : `${language}-US`
const session = await liveClient.live.connect({
model: 'gemini-live-2.5-flash-preview',
model: "gemini-live-2.5-flash-preview",
callbacks,
config: {
inputAudioTranscription: {},
speechConfig: { languageCode: lang },
},
});
})
return {
sendRealtimeInput: async payload => session.sendRealtimeInput(payload),
sendRealtimeInput: async (payload) => session.sendRealtimeInput(payload),
close: async () => session.close(),
};
}
}
/**
* Creates a Gemini LLM instance
* @param {object} opts - Configuration options
* @param {string} opts.apiKey - Gemini API key
* @param {string} [opts.model='gemini-2.5-flash'] - Model name
* @param {number} [opts.temperature=0.7] - Temperature
* @param {number} [opts.maxTokens=8192] - Max tokens
* @returns {object} LLM instance
* Creates a Gemini LLM instance with proper text response handling
*/
function createLLM({ apiKey, model = 'gemini-2.5-flash', temperature = 0.7, maxTokens = 8192, ...config }) {
const client = new GoogleGenerativeAI(apiKey);
function createLLM({ apiKey, model = "gemini-2.5-flash", temperature = 0.7, maxTokens = 8192, ...config }) {
const client = new GoogleGenerativeAI(apiKey)
return {
generateContent: async (parts) => {
const geminiModel = client.getGenerativeModel({ model: model });
const geminiModel = client.getGenerativeModel({
model: model,
generationConfig: {
temperature,
maxOutputTokens: maxTokens,
// Ensure we get text responses, not JSON
responseMimeType: "text/plain",
},
})
let systemPrompt = '';
let userContent = [];
const systemPrompt = ""
const userContent = []
for (const part of parts) {
if (typeof part === 'string') {
if (systemPrompt === '' && part.includes('You are')) {
systemPrompt = part;
} else {
userContent.push(part);
}
if (typeof part === "string") {
// Don't automatically assume strings starting with "You are" are system prompts
// Check if it's explicitly marked as a system instruction
userContent.push(part)
} else if (part.inlineData) {
// Convert base64 image data to Gemini format
userContent.push({
inlineData: {
mimeType: part.inlineData.mimeType,
data: part.inlineData.data
}
});
data: part.inlineData.data,
},
})
}
}
// Prepare content array
const content = [];
// Add system instruction if present
if (systemPrompt) {
// For Gemini, we'll prepend system prompt to user content
content.push(systemPrompt + '\n\n' + userContent[0]);
content.push(...userContent.slice(1));
} else {
content.push(...userContent);
}
try {
const result = await geminiModel.generateContent(content);
const response = await result.response;
const result = await geminiModel.generateContent(userContent)
const response = await result.response
// Return plain text, not wrapped in JSON structure
return {
response: {
text: () => response.text()
}
};
text: () => response.text(),
},
}
} catch (error) {
console.error('Gemini API error:', error);
throw error;
console.error("Gemini API error:", error)
throw error
}
},
// For compatibility with chat-style interfaces
chat: async (messages) => {
// Extract system instruction if present
let systemInstruction = '';
const history = [];
let lastMessage;
// Filter out any system prompts that might be causing JSON responses
let systemInstruction = ""
const history = []
let lastMessage
messages.forEach((msg, index) => {
if (msg.role === 'system') {
systemInstruction = msg.content;
return;
if (msg.role === "system") {
// Clean system instruction - avoid JSON formatting requests
systemInstruction = msg.content
.replace(/respond in json/gi, "")
.replace(/format.*json/gi, "")
.replace(/return.*json/gi, "")
// Add explicit instruction for natural text
if (!systemInstruction.includes("respond naturally")) {
systemInstruction += "\n\nRespond naturally in plain text, not in JSON or structured format."
}
return
}
// Gemini's history format
const role = msg.role === 'user' ? 'user' : 'model';
const role = msg.role === "user" ? "user" : "model"
if (index === messages.length - 1) {
lastMessage = msg;
lastMessage = msg
} else {
history.push({ role, parts: [{ text: msg.content }] });
history.push({ role, parts: [{ text: msg.content }] })
}
});
})
const geminiModel = client.getGenerativeModel({
model: model,
systemInstruction: systemInstruction
});
const chat = geminiModel.startChat({
history: history,
systemInstruction:
systemInstruction ||
"Respond naturally in plain text format. Do not use JSON or structured responses unless specifically requested.",
generationConfig: {
temperature: temperature,
maxOutputTokens: maxTokens,
}
});
// Force plain text responses
responseMimeType: "text/plain",
},
})
// Get the last user message content
let content = lastMessage.content;
const chat = geminiModel.startChat({
history: history,
})
// Handle multimodal content for the last message
let content = lastMessage.content
// Handle multimodal content
if (Array.isArray(content)) {
const geminiContent = [];
const geminiContent = []
for (const part of content) {
if (typeof part === 'string') {
geminiContent.push(part);
} else if (part.type === 'text') {
geminiContent.push(part.text);
} else if (part.type === 'image_url' && part.image_url) {
// Convert base64 image to Gemini format
const base64Data = part.image_url.url.split(',')[1];
if (typeof part === "string") {
geminiContent.push(part)
} else if (part.type === "text") {
geminiContent.push(part.text)
} else if (part.type === "image_url" && part.image_url) {
const base64Data = part.image_url.url.split(",")[1]
geminiContent.push({
inlineData: {
mimeType: 'image/png',
data: base64Data
}
});
mimeType: "image/png",
data: base64Data,
},
})
}
}
content = geminiContent;
content = geminiContent
}
const result = await chat.sendMessage(content);
const response = await result.response;
const result = await chat.sendMessage(content)
const response = await result.response
// Return plain text content
return {
content: response.text(),
raw: result
};
}
};
raw: result,
}
},
}
}
/**
* Creates a Gemini streaming LLM instance
* @param {object} opts - Configuration options
* @param {string} opts.apiKey - Gemini API key
* @param {string} [opts.model='gemini-2.5-flash'] - Model name
* @param {number} [opts.temperature=0.7] - Temperature
* @param {number} [opts.maxTokens=8192] - Max tokens
* @returns {object} Streaming LLM instance
* Creates a Gemini streaming LLM instance with text response fix
*/
function createStreamingLLM({ apiKey, model = 'gemini-2.5-flash', temperature = 0.7, maxTokens = 8192, ...config }) {
const client = new GoogleGenerativeAI(apiKey);
function createStreamingLLM({ apiKey, model = "gemini-2.5-flash", temperature = 0.7, maxTokens = 8192, ...config }) {
const client = new GoogleGenerativeAI(apiKey)
return {
streamChat: async (messages) => {
console.log('[Gemini Provider] Starting streaming request');
console.log("[Gemini Provider] Starting streaming request")
// Extract system instruction if present
let systemInstruction = '';
const nonSystemMessages = [];
let systemInstruction = ""
const nonSystemMessages = []
for (const msg of messages) {
if (msg.role === 'system') {
systemInstruction = msg.content;
if (msg.role === "system") {
// Clean and modify system instruction
systemInstruction = msg.content
.replace(/respond in json/gi, "")
.replace(/format.*json/gi, "")
.replace(/return.*json/gi, "")
if (!systemInstruction.includes("respond naturally")) {
systemInstruction += "\n\nRespond naturally in plain text, not in JSON or structured format."
}
} else {
nonSystemMessages.push(msg);
nonSystemMessages.push(msg)
}
}
const geminiModel = client.getGenerativeModel({
model: model,
systemInstruction: systemInstruction || undefined
});
const chat = geminiModel.startChat({
history: [],
systemInstruction:
systemInstruction ||
"Respond naturally in plain text format. Do not use JSON or structured responses unless specifically requested.",
generationConfig: {
temperature,
maxOutputTokens: maxTokens || 8192,
}
});
// Force plain text responses
responseMimeType: "text/plain",
},
})
// Create a ReadableStream to handle Gemini's streaming
const stream = new ReadableStream({
async start(controller) {
try {
console.log('[Gemini Provider] Processing messages:', nonSystemMessages.length, 'messages (excluding system)');
const lastMessage = nonSystemMessages[nonSystemMessages.length - 1]
let geminiContent = []
// Get the last user message
const lastMessage = nonSystemMessages[nonSystemMessages.length - 1];
let lastUserMessage = lastMessage.content;
// Handle case where content might be an array (multimodal)
if (Array.isArray(lastUserMessage)) {
// Extract text content from array
const textParts = lastUserMessage.filter(part =>
typeof part === 'string' || (part && part.type === 'text')
);
lastUserMessage = textParts.map(part =>
typeof part === 'string' ? part : part.text
).join(' ');
}
console.log('[Gemini Provider] Sending message to Gemini:',
typeof lastUserMessage === 'string' ? lastUserMessage.substring(0, 100) + '...' : 'multimodal content');
// Prepare the message content for Gemini
let geminiContent = [];
// Handle multimodal content properly
if (Array.isArray(lastMessage.content)) {
for (const part of lastMessage.content) {
if (typeof part === 'string') {
geminiContent.push(part);
} else if (part.type === 'text') {
geminiContent.push(part.text);
} else if (part.type === 'image_url' && part.image_url) {
// Convert base64 image to Gemini format
const base64Data = part.image_url.url.split(',')[1];
if (typeof part === "string") {
geminiContent.push(part)
} else if (part.type === "text") {
geminiContent.push(part.text)
} else if (part.type === "image_url" && part.image_url) {
const base64Data = part.image_url.url.split(",")[1]
geminiContent.push({
inlineData: {
mimeType: 'image/png',
data: base64Data
}
});
mimeType: "image/png",
data: base64Data,
},
})
}
}
} else {
geminiContent = [lastUserMessage];
geminiContent = [lastMessage.content]
}
console.log('[Gemini Provider] Prepared Gemini content:',
geminiContent.length, 'parts');
// Stream the response
let chunkCount = 0;
let totalContent = '';
const contentParts = geminiContent.map(part => {
if (typeof part === 'string') {
return { text: part };
const contentParts = geminiContent.map((part) => {
if (typeof part === "string") {
return { text: part }
} else if (part.inlineData) {
return { inlineData: part.inlineData };
return { inlineData: part.inlineData }
}
return part;
});
return part
})
const result = await geminiModel.generateContentStream({
contents: [{
role: 'user',
parts: contentParts
}],
generationConfig: {
temperature,
maxOutputTokens: maxTokens || 8192,
}
});
contents: [
{
role: "user",
parts: contentParts,
},
],
})
for await (const chunk of result.stream) {
chunkCount++;
const chunkText = chunk.text() || '';
totalContent += chunkText;
const chunkText = chunk.text() || ""
// Format as SSE data
// Format as SSE data - this should now be plain text
const data = JSON.stringify({
choices: [{
delta: {
content: chunkText
}
}]
});
controller.enqueue(new TextEncoder().encode(`data: ${data}\n\n`));
choices: [
{
delta: {
content: chunkText,
},
},
],
})
controller.enqueue(new TextEncoder().encode(`data: ${data}\n\n`))
}
console.log(`[Gemini Provider] Streamed ${chunkCount} chunks, total length: ${totalContent.length} chars`);
// Send the final done message
controller.enqueue(new TextEncoder().encode('data: [DONE]\n\n'));
controller.close();
console.log('[Gemini Provider] Streaming completed successfully');
controller.enqueue(new TextEncoder().encode("data: [DONE]\n\n"))
controller.close()
} catch (error) {
console.error('[Gemini Provider] Streaming error:', error);
controller.error(error);
console.error("[Gemini Provider] Streaming error:", error)
controller.error(error)
}
}
});
},
})
// Create a Response object with the stream
return new Response(stream, {
headers: {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive'
}
});
}
};
"Content-Type": "text/event-stream",
"Cache-Control": "no-cache",
Connection: "keep-alive",
},
})
},
}
}
module.exports = {
createSTT,
createLLM,
createStreamingLLM
};
createStreamingLLM,
}