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8      "title": "bolt.diy",
9      "reactions": {
10        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/22/reactions",
11        "total_count": 1,
12        "+1": 0,
54      "title": "🚀 Project: Fine-tune Devstral for Local, Private Code Assistance via Ollama & VS Code",
55      "reactions": {
56        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/27/reactions",
57        "total_count": 0,
58        "+1": 0,
97      "title": "CVE Mitigator",
98      "reactions": {
99        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/26/reactions",
100        "total_count": 0,
101        "+1": 0,
136    },
137    {
138      "raw": "### Project Name\n\nJira Support Agent\n\n### Repository URL\n\nhttps://github.TBD/org-name/support-agent-jira\n\n### Project Description\n\nThe Support Agent (Jira) is an AI-powered automation tool that enhances support ticket triaging and stakeholder communication within Jira. It intelligently analyzes incoming tickets to assign them to the correct teams, apply relevant tags and labels, and post contextual comments when information is missing. The agent is designed to improve operational efficiency, reduce human error, and ensure faster turnaround times by streamlining the first-touch resolution process in enterprise support workflows.\n\n### Potential Contribution Areas\n\n- NLP Integration: Improve natural language understanding to better classify and route tickets based on intent and content.\r\n- Custom Workflows: Develop rule-based or LLM-based flows for specific Jira projects or support queues.\r\n- Stakeholder Interaction: Enhance the agent’s comment generation to ask for missing information in a context-aware, human-like manner.\r\n- Jira API Enhancements: Extend the agent’s capabilities to support bulk operations, custom fields, and integration with other Atlassian tools (e.g., Confluence, Opsgenie).\n\n### Estimated Time Commitment\n\nLow (1-3 hours/week)\n\n### Required Skills\n\n_No response_\n\n### License\n\n_No response_\n\n### Additional Information\n\n_No response_",
139      "id": 25,
140      "title": "Jira Support Agent",
141      "reactions": {
142        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/25/reactions",
143        "total_count": 0,
144        "+1": 0,
171      "repositoryUrl": "https://github.TBD/org-name/support-agent-jira",
172      "description": "The Support Agent (Jira) is an AI-powered automation tool that enhances support ticket triaging and stakeholder communication within Jira. It intelligently analyzes incoming tickets to assign them to the correct teams, apply relevant tags and labels, and post contextual comments when information is missing. The agent is designed to improve operational efficiency, reduce human error, and ensure faster turnaround times by streamlining the first-touch resolution process in enterprise support workflows.",
173      "contribution": "- NLP Integration: Improve natural language understanding to better classify and route tickets based on intent and content.\r\n- Custom Workflows: Develop rule-based or LLM-based flows for specific Jira projects or support queues.\r\n- Stakeholder Interaction: Enhance the agent’s comment generation to ask for missing information in a context-aware, human-like manner.\r\n- Jira API Enhancements: Extend the agent’s capabilities to support bulk operations, custom fields, and integration with other Atlassian tools (e.g., Confluence, Opsgenie).",
174      "timeCommitment": "Low (1-3 hours/week)",
175      "skills": [],
183      "title": "Software Dependency Upgrade Agent",
184      "reactions": {
185        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/24/reactions",
186        "total_count": 0,
187        "+1": 0,
222    },
223    {
224      "raw": "### Project Name\n\nLLM Proxy Server for SAP AI Core\n\n### Repository URL\n\nhttps://github.com/sap-samples/llm-proxy-sap-ai-core\n\n### Project Description\n\nThe LLM Proxy Server for SAP AI Core is an open-source project designed to serve as a lightweight, performant, and extensible intermediary between SAP AI Core and a variety of large language model (LLM) backends. Inspired by solutions like LightLLM, this proxy server standardizes interactions with different model providers (OpenAI, Anthropic, HuggingFace, etc.), handles rate limiting and caching, and simplifies integration for enterprise use cases. Its purpose is to provide a scalable, multi-tenant LLM gateway that plugs seamlessly into the SAP AI Core inference pipeline.\n\n### Potential Contribution Areas\n\n- Model Adapter Layer: Implement new adapters to support additional LLM providers or fine-tuned models hosted on SAP AI Core.\r\n- Request Routing & Optimization: Improve routing logic, caching strategies, and load balancing between LLM providers.\r\n- Security & Multi-Tenancy: Enhance authentication, logging, and quota management to support secure, tenant-aware deployments.\r\n- SAP Integration: Develop SDK components or API contracts to enable easy consumption of the proxy within SAP BTP-based applications.\n\n### Estimated Time Commitment\n\nMedium (4-8 hours/week)\n\n### Required Skills\n\n_No response_\n\n### License\n\n_No response_\n\n### Additional Information\n\n_No response_",
225      "id": 23,
226      "title": "LLM Proxy Server for SAP AI Core",
227      "reactions": {
228        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/23/reactions",
229        "total_count": 1,
230        "+1": 1,
257      "repositoryUrl": "https://github.com/sap-samples/llm-proxy-sap-ai-core",
258      "description": "The LLM Proxy Server for SAP AI Core is an open-source project designed to serve as a lightweight, performant, and extensible intermediary between SAP AI Core and a variety of large language model (LLM) backends. Inspired by solutions like LightLLM, this proxy server standardizes interactions with different model providers (OpenAI, Anthropic, HuggingFace, etc.), handles rate limiting and caching, and simplifies integration for enterprise use cases. Its purpose is to provide a scalable, multi-tenant LLM gateway that plugs seamlessly into the SAP AI Core inference pipeline.",
259      "contribution": "- Model Adapter Layer: Implement new adapters to support additional LLM providers or fine-tuned models hosted on SAP AI Core.\r\n- Request Routing & Optimization: Improve routing logic, caching strategies, and load balancing between LLM providers.\r\n- Security & Multi-Tenancy: Enhance authentication, logging, and quota management to support secure, tenant-aware deployments.\r\n- SAP Integration: Develop SDK components or API contracts to enable easy consumption of the proxy within SAP BTP-based applications.",
260      "timeCommitment": "Medium (4-8 hours/week)",
261      "skills": [],
269      "title": "litellm",
270      "reactions": {
271        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/21/reactions",
272        "total_count": 1,
273        "+1": 1,
315      "title": "OpenDevin",
316      "reactions": {
317        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/20/reactions",
318        "total_count": 0,
319        "+1": 0,
359      "description": "Continue is an IDE Assistant designed to enhance the coding experience by providing support and suggestions directly within the integrated development environment. It aims to streamline the coding process, making it easier for developers to write, debug, and optimize their code without switching contexts. This tool is open source, allowing for community contributions and improvements, and it is not a no-code solution, indicating that it is intended for users who are comfortable with coding.",
360      "reactions": {
361        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/19/reactions",
362        "total_count": 1,
363        "+1": 1,
403      "title": "code-sandbox-mcp",
404      "reactions": {
405        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/18/reactions",
406        "total_count": 0,
407        "+1": 0,
446      "title": "Semantic Kernel",
447      "reactions": {
448        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/16/reactions",
449        "total_count": 0,
450        "+1": 0,
491      "title": "OpenGPTs",
492      "reactions": {
493        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/15/reactions",
494        "total_count": 0,
495        "+1": 0,
534      "title": "smol-developer",
535      "reactions": {
536        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/14/reactions",
537        "total_count": 1,
538        "+1": 0,
577      "title": "Aider",
578      "reactions": {
579        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/13/reactions",
580        "total_count": 0,
581        "+1": 0,
620      "title": "Helicone",
621      "reactions": {
622        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/12/reactions",
623        "total_count": 1,
624        "+1": 0,
663      "title": "MCP Agent",
664      "reactions": {
665        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/11/reactions",
666        "total_count": 0,
667        "+1": 0,
707      "title": "MCP Inspector",
708      "reactions": {
709        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/10/reactions",
710        "total_count": 0,
711        "+1": 0,
746    },
747    {
748      "raw": "# Open WebUI    \r\n  ---\r\n  \r\n  ## 🔗 Repository URL  \r\n  https://github.com/open-webui/open-webui\r\n  \r\n  ## 🧠 Project Description  \r\n  Local web UI for interacting with LLMs like OpenAI, Ollama, LM Studio, and others.\r\n  \r\n  ## 🧩 Interoperability: Agent & Tool Protocol Fit  \r\n  Could integrate MCP to allow access to external tool APIs and A2A for backend AI agent interaction.\r\n  \r\n  ## 🛠️ How AI Guild Can Contribute  \r\n  - Add SAP API Hub wrapper as MCP server\r\n  - Build agent-to-agent pipeline that connects support tooling to dev tools\r\n  \r\n  ## 🕒 Estimated Time Commitment  \r\n  Medium (4-8 hours/week)\r\n\r\n  \r\n  ## 🧪 Required Skills  \r\n  TypeScript, Python, LLM APIs, Web UI Development\r\n   \r\n  ## ⚖️ License  \r\n  \r\n  \r\n  ---\r\n  \r\n  ## 💬 Additional Information  \r\n  \r\n  \r\n  📎 Linked source: `Open WebUI.json`\r\n  ",
749      "id": 9,
750      "title": "Open WebUI",
751      "reactions": {
752        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/9/reactions",
753        "total_count": 2,
754        "+1": 2,
796
797      "reactions": {
798        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/8/reactions",
799        "total_count": 1,
800        "+1": 1,
840      "title": "Tutor-GPT",
841      "reactions": {
842        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/7/reactions",
843        "total_count": 1,
844        "+1": 0,
883      "title": "big-AGI",
884      "reactions": {
885        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/6/reactions",
886        "total_count": 0,
887        "+1": 0,
926      "title": "Zed",
927      "reactions": {
928        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/5/reactions",
929        "total_count": 0,
930        "+1": 0,
970      "title": "XState Agent",
971      "reactions": {
972        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/4/reactions",
973        "total_count": 0,
974        "+1": 0,
1014      "title": "AutoGen Studio",
1015      "reactions": {
1016        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/3/reactions",
1017        "total_count": 0,
1018        "+1": 0,
1057      "title": "LlamaIndex",
1058      "reactions": {
1059        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/2/reactions",
1060        "total_count": 0,
1061        "+1": 0,
1100      "title": "DocETL",
1101      "reactions": {
1102        "url": "https://github.tools.sap/api/v3/repos/AI-GUILD-IL/os-contribution/issues/1/reactions",
1103        "total_count": 0,
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2 * Telegram Message Sender
3 * 
4 * HTTP endpoint to send messages via Telegram Bot API
5 * 
6 * Setup:
8 * 2. Set TELEGRAM_BOT_TOKEN environment variable
9 * 3. Get your chat ID by messaging your bot and visiting:
10 *    https://api.telegram.org/bot<YOUR_BOT_TOKEN>/getUpdates
11 * 
12 * Usage:
78        JSON.stringify({ 
79          error: 'Chat ID is required. Provide in request body or set TELEGRAM_CHAT_ID environment variable',
80          help: 'Get your chat ID by messaging your bot and visiting: https://api.telegram.org/bot<YOUR_BOT_TOKEN>/getUpdates'
81        }), 
82        { 
87    }
88
89    // Prepare Telegram API request
90    const telegramUrl = `https://api.telegram.org/bot${botToken}/sendMessage`;
91    const telegramPayload = {
92      chat_id: chatId,

4    const SITE_ID = "05289800";
5    
6    // Fetch data from USGS API
7    const response = await fetch(
8      `https://waterservices.usgs.gov/nwis/iv/?format=json&sites=${SITE_ID}&parameterCd=00060`,

2
3const GIGYA_DOMAIN = process.env.GIGYA_DOMAIN || "accounts.eu1.gigya.com";
4const GIGYA_API_KEY = process.env.GIGYA_API_KEY;
5const GIGYA_APP_KEY = process.env.GIGYA_APP_KEY;
6const GIGYA_APP_SECRET = process.env.GIGYA_APP_SECRET;
7
8if (!GIGYA_API_KEY || !GIGYA_APP_KEY || !GIGYA_APP_SECRET) {
9  console.error("Missing Gigya environment variables!");
10  console.log("Required variables: GIGYA_API_KEY, GIGYA_APP_KEY, GIGYA_APP_SECRET");
11  process.exit(1);
12}
16
17  const body = new URLSearchParams({
18    apiKey: GIGYA_API_KEY,
19    userKey: GIGYA_APP_KEY,
20    secret: GIGYA_APP_SECRET,

11await sendMessage('discord', {
12  content: "Hello from Discord!",
13  url: "https://discord.com/api/webhooks/your-webhook-url" // optional if DISCORD_WEBHOOK_URL is set
14});
15
50
51### OneSignal
52- `ONESIGNAL_TOKEN` - OneSignal API token
53- `SEGMENT_APPID` - OneSignal app ID
54- `DEFAULT_ONESIGNAL_SEGMENT` - Default segment to send to (optional)
92- Missing environment variables
93- Invalid platform names
94- API errors from each platform
95- Missing required parameters
96

99    };
100
101    const response = await fetch("https://slack.com/api/chat.postMessage", {
102      method: "POST",
103      headers: {
111
112    if (!data.ok) {
113      throw new Error(`Slack API error: ${data.error}`);
114    }
115
143
144  try {
145    const response = await fetch("https://onesignal.com/api/v1/notifications", {
146      method: "POST",
147      headers: {
155      const errorData = await response.json();
156      console.error("OneSignal error:", errorData.errors);
157      throw new Error(`OneSignal API error: ${JSON.stringify(errorData.errors)}`);
158    }
159  } catch (error: any) {
178
179  try {
180    const response = await fetch(`https://api.twilio.com/2010-04-01/Accounts/${accountSid}/Messages.json`, {
181      method: "POST",
182      headers: {
194
195    if (!response.ok) {
196      throw new Error(`Twilio API error: ${responseText}`);
197    }
198

48
49/* Modern font imports */
50@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800&family=Space+Grotesk:wght@300;400;500;600;700&display=swap');
51
52* {

2  // Check if the email subject is either "new" or "post"
3  if (e.subject.includes("new") || e.subject.includes("post")) {
4    // Define the API endpoint URL
5    const url = "https://avycado13-roseguppy.web.val.run"; // Replace with your actual API endpoint
6
7    // Prepare the data to be sent in the request body
13
14    // Log the data to be sent for verification
15    console.log("Sending data to the API endpoint:");
16    console.log(data);
17
18    // Send the POST request to the API endpoint
19    fetch(url, {
20      method: "POST",

33    
34    try {
35      const response = await fetch("/api/random-post");
36      
37      if (!response.ok) {

20│   ├── index.ts             # Main Hono server
21│   └── routes/
22│       └── playlists.ts     # Playlist API routes
23├── frontend/
24│   ├── index.html           # Main HTML template
36
37- React + TypeScript for UI
38- Hono for backend API
39- Howler.js for enhanced audio playback
40- music-metadata-browser for metadata extraction