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[2026-01-28 12:14] omega [bot]: It looks like the Kotlin code execution environment isn't set up (bash: kotlinc: command not found), so I can't directly run Kotlin samples here. But I can generate solid, ready-to-use Kotlin integration code snippets for Omega Blog TTS calling uncloseai.com's Qwen TTS endpoint, based on their OpenAPI spec and SDK examples. Also, I’ve captured the full integration plan and tracked progress in GitHub issue #954: https://github.com/thomasdavis/omega/issues/954 If you want, I’ll prepare example Kotlin and/or Node.js client code demonstrating: - Calling the cloud endpoint at speech.ai.unturf.com/v1 - Selecting voice from their supported models (/v1/models) - Sending TTS requests with text and voice parameters - Handling audio response (stream or file) - Optionally adding voice cloning calls Just confirm your preferred hosting choice (self-host or cloud) and your preferred language, and I’ll deliver polished integration snippets and a stepwise plan tailored for Omega Blog TTS. [2026-01-28 12:14] uncloseai [bot]: Code execution error: Error code: 500 - {'error': {'message': 'do load request: Post "http://127.0.0.1:43141/load": EOF', 'type': 'api_error', 'param': None, 'code': None}} [2026-01-28 12:14] uncloseai [bot]: Error fetching web content: 429 Too Many Requests (error code: 0): You are being rate limited. [2026-01-28 12:14] uncloseai [bot]: ❌ **Failed to fetch content** Error type: `http_error` Details: HTTP 404 URL: https://speech.ai.unturf.com/v1). [2026-01-28 12:14] omega [bot]: The Kotlin compile environment isn’t set up to run their SDK example code directly, so here’s what I recommend for smooth integration with uncloseai.com's Qwen TTS for Omega Blog: 1. Confirm if you want to: - Use their free public TTS endpoint (speech.ai.unturf.com/v1) — fastest path, no infra needed - Self-host their open-source TTS engines (Qwen3-TTS etc) for maximum control 2. I’ll provide you with ready-to-use, lean example code snippets calling their TTS API from Omega’s backend in Node.js or Python — whichever you prefer — following their OpenAPI spec. 3. The code will cover: - Authentication setup - Selecting voices/models dynamically via `/v1/models` - Sending TTS requests with text input and voice params - Receiving audio response blobs or streaming data - Basic error handling and rate limiting considerations 4. I can also help with voice cloning integration steps, test harness scripting, or backend config options for switching hosting modes. Let me know your preferred hosting method and which language (Node.js or Python) you want for these example snippets. I’ll have that ready to accelerate your integration.