├── LICENSE ├── README.md ├── deploy-cli ├── hunyuan.sh └── runme.sh ├── source ├── README └── hunyuan │ ├── LICENSE │ └── main.ts └── stuffs └── cq1 /LICENSE: -------------------------------------------------------------------------------- 1 | GNU AFFERO GENERAL PUBLIC LICENSE 2 | Version 3, 19 November 2007 3 | 4 | Copyright (C) 2007 Free Software Foundation, Inc. 5 | Everyone is permitted to copy and distribute verbatim copies 6 | of this license document, but changing it is not allowed. 7 | 8 | Preamble 9 | 10 | The GNU Affero General Public License is a free, copyleft license for 11 | software and other kinds of works, specifically designed to ensure 12 | cooperation with the community in the case of network server software. 13 | 14 | The licenses for most software and other practical works are designed 15 | to take away your freedom to share and change the works. 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It is safest 628 | to attach them to the start of each source file to most effectively 629 | state the exclusion of warranty; and each file should have at least 630 | the "copyright" line and a pointer to where the full notice is found. 631 | 632 | 633 | Copyright (C) 634 | 635 | This program is free software: you can redistribute it and/or modify 636 | it under the terms of the GNU Affero General Public License as published 637 | by the Free Software Foundation, either version 3 of the License, or 638 | (at your option) any later version. 639 | 640 | This program is distributed in the hope that it will be useful, 641 | but WITHOUT ANY WARRANTY; without even the implied warranty of 642 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 643 | GNU Affero General Public License for more details. 644 | 645 | You should have received a copy of the GNU Affero General Public License 646 | along with this program. If not, see . 647 | 648 | Also add information on how to contact you by electronic and paper mail. 649 | 650 | If your software can interact with users remotely through a computer 651 | network, you should also make sure that it provides a way for users to 652 | get its source. For example, if your program is a web application, its 653 | interface could display a "Source" link that leads users to an archive 654 | of the code. There are many ways you could offer source, and different 655 | solutions will be better for different programs; see section 13 for the 656 | specific requirements. 657 | 658 | You should also get your employer (if you work as a programmer) or school, 659 | if any, to sign a "copyright disclaimer" for the program, if necessary. 660 | For more information on this, and how to apply and follow the GNU AGPL, see 661 | . 662 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## How to Deploy: 2 | 3 | RUN 4 | ```bash 5 | curl -s https://raw.githubusercontent.com/The-Plexus/Interface-Gist/refs/heads/main/deploy-cli/runme.sh | bash 6 | ``` 7 | -------------------------------------------------------------------------------- /deploy-cli/hunyuan.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | # Hunyuan Interface Deploy 3 | # Author: Neuroplexus 4 | 5 | set -e 6 | 7 | DEPLOY_DIR="./hunyuan-interface" 8 | MAIN_TS_URL="https://raw.githubusercontent.com/The-Plexus/Interface-Gist/refs/heads/main/source/hunyuan/main.ts" 9 | 10 | # Display title 11 | echo "=================================" 12 | echo " Hunyuan Interface Deploy Tool " 13 | echo " Author: Neuroplexus " 14 | echo "=================================" 15 | 16 | # Check if directory already exists 17 | if [ -d "$DEPLOY_DIR" ]; then 18 | echo "Error: Directory $DEPLOY_DIR already exists. Please remove it or use a different directory name." 19 | exit 1 20 | fi 21 | 22 | # Create directory 23 | echo "Creating directory $DEPLOY_DIR..." 24 | mkdir -p "$DEPLOY_DIR" 25 | 26 | # Download main.ts file 27 | echo "Downloading main.ts file..." 28 | curl -s "$MAIN_TS_URL" -o "$DEPLOY_DIR/main.ts" 29 | if [ $? -ne 0 ]; then 30 | echo "Error: Failed to download main.ts file." 31 | rm -rf "$DEPLOY_DIR" 32 | exit 1 33 | fi 34 | 35 | # Create Dockerfile 36 | echo "Creating Dockerfile..." 37 | cat > "$DEPLOY_DIR/Dockerfile" << 'EOF' 38 | # Use the official Deno image as the base image 39 | FROM denoland/deno:alpine 40 | 41 | # Set the working directory 42 | WORKDIR /app 43 | 44 | # Copy the main.ts file to the working directory 45 | COPY main.ts . 46 | 47 | # Install dependencies (if any) 48 | # RUN deno cache --unstable https://deno.land/x/oak@v12.6.1/mod.ts 49 | 50 | # Expose the port the app runs on 51 | EXPOSE 8000 52 | 53 | # Command to run the application 54 | CMD ["deno", "run", "--allow-net", "--allow-env", "main.ts"] 55 | EOF 56 | 57 | # Ask for port configuration 58 | read -p "Enter the port to expose (default: 8000): " PORT 59 | if [ -z "$choice" ]; then 60 | choice="8000" 61 | fi 62 | 63 | # 修复：确保端口变量被正确替换 64 | echo "Creating docker-compose.yml..." 65 | cat > "$DEPLOY_DIR/docker-compose.yml" << EOF 66 | services: 67 | hunyuan2api: 68 | build: . 69 | ports: 70 | - "${PORT}:8000" 71 | restart: always 72 | EOF 73 | 74 | # Build and start Docker container 75 | echo "Building Docker image..." 76 | cd "$DEPLOY_DIR" 77 | docker-compose build 78 | 79 | echo "Starting Docker container..." 80 | docker-compose up -d 81 | 82 | echo "==============================================" 83 | echo "Hunyuan Interface successfully deployed!" 84 | echo "API service is now running at: http://localhost:${PORT}" 85 | echo "==============================================" 86 | -------------------------------------------------------------------------------- /deploy-cli/runme.sh: -------------------------------------------------------------------------------- 1 | #!/bin/bash 2 | 3 | # Plexus Interface Deploy Script 4 | # A CLI application for deploying Plexus interfaces 5 | 6 | # Print header 7 | echo "========================================" 8 | echo " Plexus Interface Deploy Script " 9 | echo "========================================" 10 | echo "" 11 | 12 | # Display available options 13 | echo "Please select an interface to deploy:" 14 | echo "1) Hunyuan" 15 | echo "" 16 | 17 | # Get user input 18 | read -p "Enter your choice (1): " choice 19 | 20 | # Set default if empty 21 | if [ -z "$choice" ]; then 22 | choice="1" 23 | fi 24 | 25 | # Process user choice 26 | case $choice in 27 | 1) 28 | echo "Deploying Hunyuan interface..." 29 | echo "Downloading deployment script from GitHub..." 30 | bash -c "$(curl -s https://raw.githubusercontent.com/The-Plexus/Interface-Gist/refs/heads/main/deploy-cli/hunyuan.sh)" 31 | ;; 32 | *) 33 | echo "Invalid option. Please run the script again and select a valid option." 34 | exit 1 35 | ;; 36 | esac 37 | 38 | echo "" 39 | echo "Deployment process completed." 40 | -------------------------------------------------------------------------------- /source/README: -------------------------------------------------------------------------------- 1 | The source code of interfaces. 2 | -------------------------------------------------------------------------------- /source/hunyuan/LICENSE: -------------------------------------------------------------------------------- 1 | Copyright (c) 2025 Neuroplexus 2 | 3 | This software is provided "as is", without warranty of any kind, express or 4 | implied, including but not limited to the warranties of merchantability, 5 | fitness for a particular purpose and noninfringement. In no event shall the 6 | authors or copyright holders be liable for any claim, damages or other 7 | liability, whether in an action of contract, tort or otherwise, arising from, 8 | out of or in connection with the software or the use or other dealings in the 9 | software. 10 | 11 | This software is licensed under the Neuroplexus Non-Commercial Share-Alike License (the "License"); 12 | you may not use this file except in compliance with the License. 13 | 14 | Terms and Conditions: 15 | 16 | 1. Non-Commercial Use Only: 17 | 18 | This software and its associated documentation (collectively, the "Software") 19 | are strictly prohibited from being used, directly or indirectly, for any 20 | commercial purpose. "Commercial purpose" includes, but is not limited to: 21 | * Use in a product or service offered for sale or other consideration. 22 | * Use in a product or service that provides a competitive advantage in a 23 | commercial setting. 24 | * Use in internal business operations that generate revenue or provide 25 | cost savings directly attributable to the Software. 26 | * Use in training or educational programs for which a fee is charged. 27 | * Use to support any for-profit entity, regardless of whether the software 28 | itself is sold. 29 | * Reselling, or sublicensing this software. 30 | If you require a commercial license, please contact Neuroplexus at isneuroplexus@duck.com. 31 | 32 | 2. Attribution and Original Author/Project Notice: 33 | 34 | Any use, distribution, or modification of the Software (in whole or in part) 35 | must prominently include the following: 36 | * The original copyright notice: `Copyright (c) 2025 Neuroplexus` 37 | * A clear and unambiguous statement identifying Neuroplexus as the original 38 | author of the Software. 39 | * A link or reference to the original project location (e.g., a URL to a 40 | repository, if applicable). For example: "Based on the Neuroplexus 41 | HuanyuanInterface project, available at https://linux.do/t/topic/507324. 42 | 43 | 3. Share-Alike (Derivative Works): 44 | 45 | If you modify the Software, any distribution of the modified version (the 46 | "Derivative Work") must be licensed under the *same* terms and conditions as 47 | this License (Neuroplexus Non-Commercial Share-Alike License). This means: 48 | * The Derivative Work must also be restricted to non-commercial use. 49 | * The Derivative Work must include the attribution requirements outlined 50 | in Section 2. 51 | * The source code of the Derivative Work must be made available under 52 | this same License. 53 | 54 | 4. Modification Notices: 55 | 56 | Any Derivative Work must include prominent notices stating that you have 57 | modified the Software, and the date and nature of the changes made. These 58 | notices must be placed: 59 | * In the source code files that have been modified. 60 | * In a separate `CHANGELOG` or `MODIFICATIONS` file included with the 61 | Derivative Work's distribution. This file should clearly list all 62 | modifications made to the original Software. 63 | 64 | 5. No Endorsement: 65 | 66 | The names of Neuroplexus or its contributors may not be used to endorse or 67 | promote products derived from this Software without specific prior written 68 | permission. 69 | 70 | 6. Termination: 71 | 72 | This License automatically terminates if you violate any of its terms and 73 | conditions. Upon termination, you must cease all use, distribution, and 74 | modification of the Software and destroy all copies in your possession. 75 | 76 | 7. Severability: 77 | 78 | If any provision of this License is held to be invalid or unenforceable, the 79 | remaining provisions shall remain in full force and effect. 80 | 81 | 8. Governing Law: 82 | 83 | This License shall be governed by and construed in accordance with the laws 84 | of New South Wales, Australia, without 85 | regard to its conflict of law principles. 86 | 87 | 9. Entire Agreement: 88 | 89 | This license constitutes the entire agreement with respect to the software. 90 | Neuroplexus is not bound by any additional provisions that may appear in any 91 | communication from you. 92 | -------------------------------------------------------------------------------- /source/hunyuan/main.ts: -------------------------------------------------------------------------------- 1 | /* 2 | Copyright (c) 2025 Neuroplexus 3 | 4 | This software is provided "as is", without warranty of any kind, express or 5 | implied, including but not limited to the warranties of merchantability, 6 | fitness for a particular purpose and noninfringement. In no event shall the 7 | authors or copyright holders be liable for any claim, damages or other 8 | liability, whether in an action of contract, tort or otherwise, arising from, 9 | out of or in connection with the software or the use or other dealings in the 10 | software. 11 | 12 | This software is licensed under the Neuroplexus Non-Commercial Share-Alike License (the "License"); 13 | you may not use this file except in compliance with the License. 14 | 15 | Terms and Conditions: 16 | 17 | 1. Non-Commercial Use Only: 18 | 19 | This software and its associated documentation (collectively, the "Software") 20 | are strictly prohibited from being used, directly or indirectly, for any 21 | commercial purpose. "Commercial purpose" includes, but is not limited to: 22 | * Use in a product or service offered for sale or other consideration. 23 | * Use in a product or service that provides a competitive advantage in a 24 | commercial setting. 25 | * Use in internal business operations that generate revenue or provide 26 | cost savings directly attributable to the Software. 27 | * Use in training or educational programs for which a fee is charged. 28 | * Use to support any for-profit entity, regardless of whether the software 29 | itself is sold. 30 | * Reselling, or sublicensing this software. 31 | If you require a commercial license, please contact Neuroplexus at isneuroplexus@duck.com. 32 | 33 | 2. Attribution and Original Author/Project Notice: 34 | 35 | Any use, distribution, or modification of the Software (in whole or in part) 36 | must prominently include the following: 37 | * The original copyright notice: `Copyright (c) 2025 Neuroplexus` 38 | * A clear and unambiguous statement identifying Neuroplexus as the original 39 | author of the Software. 40 | * A link or reference to the original project location (e.g., a URL to a 41 | repository, if applicable). For example: "Based on the Neuroplexus 42 | HuanyuanInterface project, available at https://linux.do/t/topic/507324. 43 | 44 | 3. Share-Alike (Derivative Works): 45 | 46 | If you modify the Software, any distribution of the modified version (the 47 | "Derivative Work") must be licensed under the *same* terms and conditions as 48 | this License (Neuroplexus Non-Commercial Share-Alike License). This means: 49 | * The Derivative Work must also be restricted to non-commercial use. 50 | * The Derivative Work must include the attribution requirements outlined 51 | in Section 2. 52 | * The source code of the Derivative Work must be made available under 53 | this same License. 54 | 55 | 4. Modification Notices: 56 | 57 | Any Derivative Work must include prominent notices stating that you have 58 | modified the Software, and the date and nature of the changes made. These 59 | notices must be placed: 60 | * In the source code files that have been modified. 61 | * In a separate `CHANGELOG` or `MODIFICATIONS` file included with the 62 | Derivative Work's distribution. This file should clearly list all 63 | modifications made to the original Software. 64 | 65 | 5. No Endorsement: 66 | 67 | The names of Neuroplexus or its contributors may not be used to endorse or 68 | promote products derived from this Software without specific prior written 69 | permission. 70 | 71 | 6. Termination: 72 | 73 | This License automatically terminates if you violate any of its terms and 74 | conditions. Upon termination, you must cease all use, distribution, and 75 | modification of the Software and destroy all copies in your possession. 76 | 77 | 7. Severability: 78 | 79 | If any provision of this License is held to be invalid or unenforceable, the 80 | remaining provisions shall remain in full force and effect. 81 | 82 | 8. Governing Law: 83 | 84 | This License shall be governed by and construed in accordance with the laws 85 | of New South Wales, Australia, without 86 | regard to its conflict of law principles. 87 | 88 | 9. Entire Agreement: 89 | 90 | This license constitutes the entire agreement with respect to the software. 91 | Neuroplexus is not bound by any additional provisions that may appear in any 92 | communication from you. 93 | */ 94 | 95 | import { Application, Router, Context } from "https://deno.land/x/oak@v12.6.1/mod.ts"; 96 | import { Buffer } from "https://deno.land/std@0.152.0/io/buffer.ts"; // Not used, can be removed 97 | 98 | const HUNYUAN_API_URL = "http://llm.hunyuan.tencent.com/aide/api/v2/triton_image/demo_text_chat/"; // Consider making this configurable 99 | const DEFAULT_STAFFNAME = "staryxzhang"; // Consider making this configurable 100 | const DEFAULT_WSID = "10697"; // Consider making this configurable 101 | const API_KEY = "7auGXNATFSKl7dc"; // Consider loading this from an environment variable or config file 102 | 103 | interface HunyuanMessage { 104 | role: string; 105 | content: string; 106 | reasoning_content?: string; 107 | } 108 | 109 | interface HunyuanRequest { 110 | stream: boolean; 111 | model: string; 112 | query_id: string; 113 | messages: HunyuanMessage[]; 114 | stream_moderation: boolean; 115 | enable_enhancement: boolean; 116 | } 117 | 118 | // These interfaces can be combined for better readability 119 | interface OpenAIChoiceBase { 120 | index: number; 121 | finish_reason: string | null; 122 | } 123 | 124 | interface OpenAIChoiceDelta extends OpenAIChoiceBase { 125 | delta: { 126 | role?: string; 127 | content?: string; 128 | reasoning_content?: string; 129 | }; 130 | } 131 | 132 | interface OpenAIChoiceNonStream extends OpenAIChoiceBase { 133 | message: { 134 | role: string; 135 | content: string; 136 | reasoning_content?: string; 137 | }; 138 | } 139 | 140 | interface OpenAIStreamResponse { 141 | id: string; 142 | object: string; 143 | created: number; 144 | model: string; 145 | system_fingerprint: string; 146 | choices: OpenAIChoiceDelta[]; 147 | note?: string; // Rarely used, consider removing if not needed 148 | } 149 | 150 | interface OpenAIResponseNonStream { 151 | id: string; 152 | object: string; 153 | created: number; 154 | model: string; 155 | choices: OpenAIChoiceNonStream[]; 156 | usage?: { // Placeholder for now 157 | prompt_tokens: number; 158 | completion_tokens: number; 159 | total_tokens: number; 160 | }; 161 | } 162 | 163 | interface OpenAIModel { 164 | id: string; 165 | object: string; 166 | created: number; 167 | owned_by: string; 168 | } 169 | 170 | interface OpenAIModelsResponse { 171 | object: string; 172 | data: OpenAIModel[]; 173 | } 174 | 175 | // Helper function to get Hunyuan model name from OpenAI model name 176 | function getHunyuanModelName(openaiModelName: string): string { 177 | switch (openaiModelName) { 178 | case "hunyuan-turbos-latest": 179 | return "hunyuan-turbos-latest"; 180 | case "hunyuan-t1-latest": // Fallthrough is intentional 181 | default: 182 | return "hunyuan-t1-latest"; 183 | } 184 | } 185 | 186 | async function hunyuanToOpenAIStream( 187 | hunyuanResponse: Response, 188 | openaiModelName: string, 189 | ): Promise> { 190 | const decoder = new TextDecoder("utf-8"); 191 | let buffer = ""; 192 | 193 | return new ReadableStream({ 194 | async start(controller) { 195 | if (!hunyuanResponse.body) { 196 | controller.close(); 197 | return; 198 | } 199 | const reader = hunyuanResponse.body.getReader(); 200 | 201 | try { 202 | while (true) { 203 | const { done, value } = await reader.read(); 204 | if (done) { break; } 205 | buffer += decoder.decode(value); 206 | 207 | let boundary = buffer.indexOf("\n\n"); 208 | while (boundary !== -1) { 209 | const chunk = buffer.substring(0, boundary).trim(); 210 | buffer = buffer.substring(boundary + 2); 211 | boundary = buffer.indexOf("\n\n"); 212 | 213 | if (chunk.startsWith("data:")) { 214 | const jsonStr = chunk.substring(5).trim(); 215 | if (jsonStr === "[DONE]") { 216 | controller.enqueue(`data: [DONE]\n\n`); 217 | continue; 218 | } 219 | try { 220 | const hunyuanData = JSON.parse(jsonStr); 221 | const openaiData: OpenAIStreamResponse = { 222 | id: hunyuanData.id, 223 | object: "chat.completion.chunk", 224 | created: hunyuanData.created, 225 | model: openaiModelName, 226 | system_fingerprint: hunyuanData.system_fingerprint, 227 | choices: hunyuanData.choices.map((choice): OpenAIChoiceDelta => ({ 228 | delta: { 229 | role: choice.delta.role, 230 | content: choice.delta.content, 231 | reasoning_content: choice.delta.reasoning_content, 232 | }, 233 | index: choice.index, 234 | finish_reason: choice.finish_reason, 235 | })), 236 | }; 237 | controller.enqueue(`data: ${JSON.stringify(openaiData)}\n\n`); 238 | } catch (error) { 239 | console.error("Error parsing stream chunk:", error, jsonStr); 240 | } 241 | } 242 | } 243 | } 244 | } finally { 245 | reader.releaseLock(); 246 | controller.close(); 247 | } 248 | }, 249 | }); 250 | } 251 | async function hunyuanToOpenAINonStream( 252 | hunyuanResponse: Response, 253 | openaiModelName: string, 254 | ): Promise { 255 | const decoder = new TextDecoder("utf-8"); 256 | let buffer = ""; 257 | let allChoices: OpenAIChoiceNonStream[] = []; // Accumulate choices 258 | let finalId = ""; 259 | let finalCreated = 0; 260 | let finalModel = openaiModelName; 261 | 262 | 263 | if (!hunyuanResponse.body) { 264 | throw new Error("Hunyuan response body is empty."); 265 | } 266 | const reader = hunyuanResponse.body.getReader(); 267 | 268 | try { 269 | while (true) { 270 | const { done, value } = await reader.read(); 271 | if (done) { 272 | break; 273 | } 274 | const text = decoder.decode(value); 275 | buffer += text; 276 | 277 | let boundary = buffer.indexOf("\n\n"); 278 | while (boundary !== -1) { 279 | const chunk = buffer.substring(0, boundary).trim(); 280 | buffer = buffer.substring(boundary + 2); 281 | boundary = buffer.indexOf("\n\n"); 282 | 283 | if (chunk.startsWith("data:")) { 284 | const jsonStr = chunk.substring(5).trim(); 285 | 286 | if (jsonStr === "[DONE]") { 287 | continue; 288 | } 289 | 290 | try { 291 | const hunyuanData: OpenAIStreamResponse = JSON.parse(jsonStr); // Correct type 292 | finalId = hunyuanData.id; // Get id and created from last chunk 293 | finalCreated = hunyuanData.created; 294 | 295 | // Accumulate choices, extracting content correctly. 296 | hunyuanData.choices.forEach(choice => { 297 | const existingChoice = allChoices.find(c => c.index === choice.index); 298 | if (existingChoice) { 299 | //append new content 300 | existingChoice.message.content += choice.delta.content || ""; 301 | existingChoice.message.reasoning_content = (existingChoice.message.reasoning_content || "") + (choice.delta.reasoning_content || ""); 302 | if (choice.finish_reason) { 303 | existingChoice.finish_reason = choice.finish_reason; 304 | } 305 | } else { 306 | //new choice 307 | allChoices.push({ 308 | message: { 309 | role: choice.delta.role || "assistant", // Default to "assistant" if role is missing 310 | content: choice.delta.content || "", 311 | reasoning_content: choice.delta.reasoning_content, 312 | }, 313 | index: choice.index, 314 | finish_reason: choice.finish_reason, 315 | }); 316 | } 317 | }); 318 | 319 | } catch (error) { 320 | console.error("Error parsing Hunyuan response chunk:", error, "Chunk:", jsonStr); 321 | throw new Error(`Error parsing Hunyuan response: ${error}`); 322 | } 323 | } 324 | } 325 | } 326 | } finally { 327 | reader.releaseLock(); 328 | } 329 | 330 | if (allChoices.length === 0) { 331 | throw new Error("Failed to receive data from Hunyuan API."); 332 | } 333 | 334 | const openaiResponse: OpenAIResponseNonStream = { 335 | id: finalId, 336 | object: "chat.completion", 337 | created: finalCreated, 338 | model: finalModel, 339 | choices: allChoices, 340 | usage: { // Still placeholder, see notes below 341 | prompt_tokens: 0, 342 | completion_tokens: 0, 343 | total_tokens: 0, 344 | }, 345 | }; 346 | return openaiResponse; 347 | } 348 | 349 | async function handleChatCompletion(ctx: Context) { 350 | try { 351 | const authHeader = ctx.request.headers.get("Authorization"); 352 | if (!authHeader || !authHeader.startsWith("Bearer ")) { 353 | ctx.response.status = 401; 354 | ctx.response.body = { error: "Unauthorized: Missing or invalid API key" }; 355 | return; 356 | } 357 | const apiKey = authHeader.substring(7); 358 | 359 | const body = await ctx.request.body({ type: "json" }).value; 360 | 361 | if (!body || !body.messages || !Array.isArray(body.messages)) { 362 | ctx.response.status = 400; 363 | ctx.response.body = { error: "Invalid request body: 'messages' array is required." }; 364 | return; 365 | } 366 | 367 | const openaiModel = body.model || "hunyuan-t1-latest"; 368 | const hunyuanModel = getHunyuanModelName(openaiModel); 369 | const stream = body.stream !== undefined ? body.stream : true; 370 | 371 | const hunyuanMessages: HunyuanMessage[] = body.messages.map((msg: any) => ({ 372 | role: msg.role, 373 | content: msg.content, 374 | reasoning_content: msg.reasoning_content, // Pass through reasoning_content 375 | })); 376 | 377 | const hunyuanRequest: HunyuanRequest = { 378 | stream: true, // Always stream to Hunyuan, then handle streaming/non-streaming for OpenAI 379 | model: hunyuanModel, 380 | query_id: crypto.randomUUID().replaceAll("-", ""), 381 | messages: hunyuanMessages, 382 | stream_moderation: true, 383 | enable_enhancement: false, 384 | }; 385 | 386 | 387 | const hunyuanResponse = await fetch(HUNYUAN_API_URL, { 388 | method: "POST", 389 | headers: { 390 | "Host": "llm.hunyuan.tencent.com", 391 | "User-Agent": "Mozilla/5.0 (X11; Linux x86_64; rv:136.0) Gecko/20100101 Firefox/136.0", // Consider making this configurable 392 | "Accept": "*/*", 393 | "Accept-Language": "en-US,en;q=0.5", // Consider making this configurable 394 | "Accept-Encoding": "gzip, deflate, br, zstd", 395 | "Referer": "https://llm.hunyuan.tencent.com/", 396 | "Content-Type": "application/json", 397 | "model": hunyuanModel, // Use the determined Hunyuan model 398 | "polaris": "stream-server-online-sbs-10697", 399 | "Authorization": `Bearer ${apiKey}`, 400 | "Wsid": DEFAULT_WSID, 401 | "staffname": DEFAULT_STAFFNAME, 402 | "Origin": "https://llm.hunyuan.tencent.com", 403 | "DNT": "1", 404 | "Sec-GPC": "1", 405 | "Connection": "keep-alive", 406 | "Sec-Fetch-Dest": "empty", 407 | "Sec-Fetch-Mode": "cors", 408 | "Sec-Fetch-Site": "same-origin", 409 | "Priority": "u=0", 410 | "Pragma": "no-cache", 411 | "Cache-Control": "no-cache", 412 | "TE": "trailers", 413 | }, 414 | body: JSON.stringify(hunyuanRequest), 415 | }); 416 | 417 | if (!hunyuanResponse.ok) { 418 | const errorText = await hunyuanResponse.text(); 419 | console.error("Hunyuan API error:", hunyuanResponse.status, errorText); 420 | ctx.response.status = hunyuanResponse.status; 421 | ctx.response.body = { error: `Hunyuan API error: ${hunyuanResponse.status} - ${errorText}` }; 422 | return; 423 | } 424 | 425 | if (stream) { 426 | const openaiStream = await hunyuanToOpenAIStream(hunyuanResponse, openaiModel); 427 | ctx.response.body = openaiStream; 428 | ctx.response.type = "text/event-stream"; 429 | } else { 430 | const openaiResponse = await hunyuanToOpenAINonStream(hunyuanResponse, openaiModel); 431 | ctx.response.body = openaiResponse; 432 | ctx.response.type = "application/json"; 433 | } 434 | 435 | } catch (error) { 436 | console.error("Error in chat completion:", error); 437 | ctx.response.status = 500; 438 | ctx.response.body = { error: "Internal Server Error" }; 439 | } 440 | } 441 | 442 | async function handleModels(ctx: Context) { 443 | const models: OpenAIModelsResponse = { 444 | object: "list", 445 | data: [ 446 | { 447 | id: "hunyuan-t1-latest", 448 | object: "model", 449 | created: Math.floor(Date.now() / 1000), 450 | owned_by: "tencent", 451 | }, 452 | { 453 | id: "hunyuan-turbos-latest", 454 | object: "model", 455 | created: Math.floor(Date.now() / 1000), // Use current timestamp 456 | owned_by: "tencent", 457 | } 458 | ], 459 | }; 460 | ctx.response.body = models; 461 | ctx.response.type = "application/json"; 462 | } 463 | 464 | const sharedStyles = ` 465 | @import url('https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&display=swap'); 466 | 467 | :root { 468 | --background: #f0f2f5; 469 | --foreground: #2e3440; 470 | --primary: #5e81ac; 471 | --primary-foreground: #eceff4; 472 | --card: #ffffff; 473 | --card-foreground: #2e3440; 474 | --muted: #d8dee9; 475 | --muted-foreground: #4c566a; 476 | --border: #d8dee9; 477 | --radius: 8px; 478 | --header-bg: #3b4252; 479 | --header-fg: #eceff4; 480 | --link-color: #81a1c1; 481 | } 482 | 483 | * { margin: 0; padding: 0; box-sizing: border-box; } 484 | 485 | body { 486 | font-family: 'Inter', sans-serif; 487 | background-color: var(--background); 488 | color: var(--foreground); 489 | display: flex; 490 | flex-direction: column; 491 | min-height: 100vh; 492 | line-height: 1.6; 493 | } 494 | 495 | .header { 496 | background-color: var(--header-bg); 497 | color: var(--header-fg); 498 | padding: 1rem 0; 499 | width: 100%; 500 | text-align: center; 501 | box-shadow: 0 2px 4px rgba(0,0,0,0.1); 502 | } 503 | 504 | .header-content { 505 | display: flex; 506 | justify-content: space-between; 507 | align-items: center; 508 | max-width: 48rem; 509 | margin: 0 auto; 510 | padding: 0 1rem; 511 | } 512 | 513 | .header a { 514 | color: var(--header-fg); 515 | text-decoration: none; 516 | margin: 0 1rem; 517 | font-weight: 500; 518 | transition: color 0.2s; 519 | } 520 | 521 | .header a:hover { 522 | color: var(--link-color); 523 | } 524 | .branding { 525 | font-size: 1.25rem; 526 | font-weight: 600; 527 | } 528 | 529 | 530 | .container { 531 | width: 100%; 532 | max-width: 48rem; 533 | margin: 1.5rem auto; 534 | padding: 0 1rem; 535 | flex-grow: 1; 536 | } 537 | 538 | .card { 539 | background-color: var(--card); 540 | border-radius: var(--radius); 541 | box-shadow: 0 2px 5px rgba(0, 0, 0, 0.1); 542 | padding: 1.5rem; 543 | margin-bottom: 1.5rem; 544 | } 545 | 546 | h1 { 547 | font-size: 2.25rem; 548 | font-weight: 700; 549 | margin-bottom: 1rem; 550 | color: var(--foreground); 551 | text-align: center; 552 | } 553 | 554 | h2 { 555 | font-size: 1.75rem; 556 | font-weight: 600; 557 | margin-bottom: 1rem; 558 | color: var(--foreground); 559 | } 560 | 561 | h3 { 562 | font-size: 1.25rem; 563 | font-weight: 600; 564 | margin-top: 1rem; 565 | margin-bottom: 0.5rem; 566 | color: var(--foreground); 567 | } 568 | 569 | p { 570 | color: var(--muted-foreground); 571 | font-size: 1rem; 572 | margin-bottom: 1rem; 573 | line-height: 1.5; 574 | } 575 | 576 | a { 577 | color: var(--link-color); 578 | text-decoration: none; 579 | } 580 | a:hover { 581 | text-decoration: underline; 582 | } 583 | 584 | pre { 585 | background-color: var(--muted); 586 | padding: 1rem; 587 | border-radius: var(--radius); 588 | overflow-x: auto; 589 | margin-bottom: 1rem; 590 | border: 1px solid var(--border); 591 | line-height: 1.4; 592 | } 593 | 594 | code { 595 | font-family: 'Courier New', Courier, monospace; 596 | font-size: 0.875rem; 597 | } 598 | 599 | .button { 600 | display: inline-flex; 601 | align-items: center; 602 | justify-content: center; 603 | white-space: nowrap; 604 | border-radius: var(--radius); 605 | height: 2.75rem; 606 | padding: 0 1.25rem; 607 | font-size: 1rem; 608 | font-weight: 500; 609 | transition: all 0.2s; 610 | cursor: pointer; 611 | text-decoration: none; 612 | background-color: var(--primary); 613 | color: var(--primary-foreground); 614 | border: none; 615 | } 616 | 617 | .button:hover { 618 | opacity: 0.9; 619 | } 620 | 621 | .footer { 622 | margin-top: auto; 623 | padding: 1rem 0; 624 | text-align: center; 625 | color: var(--muted-foreground); 626 | border-top: 1px solid var(--border); 627 | width: 100%; 628 | } 629 | 630 | .footer a { 631 | color: var(--link-color); 632 | } 633 | `; 634 | 635 | 636 | const header = ` 637 |
638 |
639 | Hunyuan Proxy 640 |
641 | Home 642 | Playground 643 | Docs 644 | Get API Key 645 |
646 |
647 |
648 | `; 649 | 650 | 651 | const homePage = ` 652 | 653 | 654 | 655 | 656 | 657 | Hunyuan OpenAI Proxy 658 | 659 | 660 | 661 | ${header} 662 |
663 |

Hunyuan OpenAI Proxy

664 |
665 |

Welcome

666 |

This is a proxy server that converts the Tencent Hunyuan LLM API to an OpenAI-compatible API.

667 |

You can use this proxy to access the Hunyuan LLM with any OpenAI-compatible client.

668 |
669 |
670 |
671 |

Powered by Neuroplexus

672 |
673 | 674 | 675 | `; 676 | 677 | 678 | const playgroundPage = ` 679 | 680 | 681 | 682 | 683 | 684 | Hunyuan Playground 685 | 702 | 703 | 704 | ${header} 705 |
706 |

Hunyuan Playground

707 |
708 | 709 | 710 |
711 |
712 |
713 |
714 |

Powered by Neuroplexus

715 |
716 | 781 | 782 | 783 | `; 784 | 785 | const docsPage = ` 786 | 787 | 788 | 789 | 790 | 791 | API Documentation 792 | 793 | 794 | 795 | ${header} 796 |
797 |

API Documentation

798 |
799 |

Chat Completions

800 |

This endpoint mimics the OpenAI Chat Completion API.

801 |

Endpoint

802 | 
POST /v1/chat/completions
803 |

Request Headers

804 | 
Authorization: Bearer YOUR_API_KEY
805 | 
Content-Type: application/json
806 | 807 |

Request Body (Example)

808 | 
{
809 |   "messages": [
810 |     {
811 |       "role": "user",
812 |       "content": "Hello, who are you?"
813 |     }
814 |   ],
815 |   "model": "hunyuan-t1-latest",
816 |   "stream": true
817 | }
818 |

Supported models: hunyuan-t1-latest, hunyuan-turbos-latest. To make a non-streaming request, set "stream": false in the request body.

819 |

Response

820 |

Returns a stream of Server-Sent Events (SSE) in the OpenAI format for streaming requests, or a JSON object for non-streaming requests.

821 |
822 | 823 |
824 |

Models

825 |

Get a list of available models.

826 |

Endpoint

827 | 
GET /v1/models
828 |

Response (Example)

829 | 

830 | {
831 |   "object": "list",
832 |   "data": [
833 |     {
834 |       "id": "hunyuan-t1-latest",
835 |       "object": "model",
836 |       "created": 1678886400,
837 |       "owned_by": "tencent"
838 |     },
839 |     {
840 |       "id": "hunyuan-turbos-latest",
841 |       "object": "model",
842 |       "created": 1700000000,
843 |       "owned_by": "tencent"
844 |     }
845 |   ]
846 | }
847 |
848 |
849 |
850 |

Get API Key

851 |

Retrieves the API key.

852 |

Endpoint

853 | 
GET /getkey
854 |
855 |
856 |
857 |

Powered by Neuroplexus

858 |
859 | 860 | 861 | `; 862 | 863 | const getKeyPage = ` 864 | 865 | 866 | 867 | 868 | 869 | Get API Key 870 | 871 | 872 | 873 | ${header} 874 |
875 |

Get API Key

876 |
877 |

Your API Key is: ${API_KEY}

878 |
879 |
880 |
881 |

Powered by Neuroplexus

882 |
883 | 884 | 885 | `; 886 | async function handleGetKey(ctx: Context) { 887 | const acceptHeader = ctx.request.headers.get("Accept"); 888 | if (acceptHeader && acceptHeader.includes("application/json")) { 889 | ctx.response.body = { key: API_KEY }; 890 | ctx.response.type = "application/json"; 891 | } else { 892 | ctx.response.body = getKeyPage; 893 | ctx.response.type = "text/html"; 894 | } 895 | } 896 | 897 | async function handleHomePage(ctx: Context) { 898 | ctx.response.body = homePage; 899 | ctx.response.type = "text/html"; 900 | } 901 | 902 | async function handlePlayground(ctx: Context) { 903 | ctx.response.body = playgroundPage; 904 | ctx.response.type = "text/html"; 905 | } 906 | 907 | async function handleDocs(ctx: Context) { 908 | ctx.response.body = docsPage; 909 | ctx.response.type = "text/html"; 910 | } 911 | 912 | const router = new Router(); 913 | router.post("/v1/chat/completions", handleChatCompletion); 914 | router.get("/v1/models", handleModels); 915 | router.get("/getkey", handleGetKey); 916 | router.get("/", handleHomePage); 917 | router.get("/playground", handlePlayground); 918 | router.get("/docs", handleDocs); 919 | 920 | const app = new Application(); 921 | app.use(router.routes()); 922 | app.use(router.allowedMethods()); 923 | 924 | console.log("Server listening on port 8000"); 925 | await app.listen({ port: 8000 }); 926 | -------------------------------------------------------------------------------- /stuffs/cq1: -------------------------------------------------------------------------------- 1 | 并没有什么教程 愚人节快乐~ 2 | --------------------------------------------------------------------------------