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GitHub - lechmazur/position_bias: A benchmark for testing whether LLM judges keep the same preference when two lightly edited versions of the same story are shown in opposite orders. Flex routing (EU and EFTA) Dark Factories: Retooling for LLM Velocity Ask HN: What would be the impact of a LLM output injection attack? GitHub - Oaklight/llm-rosetta: Production-ready LLM API translation layer for Python — bidirectional conversion between OpenAI, Anthropic & Google formats via hub-and-spoke IR. Optional API gateway. Streaming & non-streaming. Zero core deps. Contributions welcome! GitHub - browser-use/browser-harness: Self-healing browser harness that enables LLMs to complete any task. GitHub - moeen-mahmud/remen: Remen turns thoughts into something you can return to Analyzing 156 LLM Launch Posts on Hacker News ChatGPT vs Gemini vs Claude: The Best LLM Subscription You Should Buy GitHub - salaamalykum/quran-semantic-search: High-density RAG Semantic Search Engine & Quran Corpus (GEO/SEO Architecture) GitHub - NVIDIA/TensorRT-LLM: TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way. The State of LLM Bug Bounties in 2026 Operational Readiness Criteria for Tool-Using LLM Agents Meshcore: Architecture for a Decentralized P2P LLM Inference Network How an LLM becomes more coherent as we train it GitHub - seetrex-ai/laimark GitHub - Jossifresben/BibCrit: AI-assited biblical textual criticism GitHub - wastedcode/memex: File system based wiki, maintained by Claude 99helpers.com GitHub - cliver-project/AITrigram GitHub - unbody-io/adapt: A self-evolving memory layer for AI agents. GitHub - hb20007/awesome-gen-ai-fails: A list of incidents where reliance on generative AI and LLMs resulted in harm to companies, individuals, or society GitHub - nevenkordic/localmind: Run any local LLM with persistent memory and context. CLI agent over Ollama with SQLite-backed hybrid recall. No cloud. Ask HN: What are the machine requirements for a LLM like Llama-3.1-8B? Faster LLM Inference via Sequential Monte Carlo grpo explained: group relative policy optimization for llm finetuning - cgft Stop comparing price per million tokens: the hidden LLM API costs · TensorZero Andrej Karpathy's LLM Wiki Is a Bad Idea GitHub - GG-QandV/mnemostroma: Offline RAM-first cognitive leer/coprocessor for AI agents and robotics. Solves "Context Abandonment" with 20-80ms latency using a dual-thread biomimetic memory architecture (ONNX + SQLite WAL). mempalace/agent at agent · skorotkiewicz/mempalace
telnyx-code-examples/ai-content-translator-python at main...
sona-coffee1 · 2026-06-27 · via Hacker News - Newest: "LLM"
name ai-content-translator
title AI Content Translator
description Upload any audio (podcast, meeting, lecture), STT transcribes in source language, AI Inference translates, TTS generates audio in target language. Returns translated audio + aligned transcript.
language python
framework flask
telnyx_products

AI Inference

Media Streaming

integrations
channel

voice

api

Upload any audio (podcast, meeting, lecture), STT transcribes in source language, AI Inference translates, TTS generates audio in target language. Returns translated audio + aligned transcript.

Telnyx API Endpoints Used

  • STT Transcribe: POST /v2/ai/transcribe -- ref
  • AI Inference: POST /v2/ai/chat/completions -- ref
  • TTS Generate: POST /v2/ai/generate -- ref

Architecture

  API Request
        │
        ▼
  ┌──────────────────┐
  │ Answer + Greet    │ ── TTS welcome message
  └────────┬─────────┘
           │
           ▼
  ┌──────────────────┐
  │ Gather Speech     │ ── STT transcription
  └────────┬─────────┘
           │
           ▼
  ┌──────────────────┐
  │ AI Inference      │
  │ • Translation      │
  └────────┬─────────┘
           │ ◄──── conversation loop
           │
           ▼
     JSON response

How It Works

  1. Sends conversation to Telnyx AI Inference for processing
  2. Converts response to speech via Telnyx TTS

Why Telnyx

Telnyx is an AI Communications Infrastructure platform - voice, messaging, SIP, AI, and IoT on one private, global network.

  • Co-located inference - LLM runs on the same network as voice traffic. Sub-200ms round trips.

Environment Variables

Copy .env.example to .env and fill in:

Variable Type Example Required Description Where to get it
TELNYX_API_KEY string KEY0123456789ABCDEF yes Telnyx API v2 key Portal
AI_MODEL string moonshotai/Kimi-K2.6 no AI Inference model Docs
TTS_MODEL string telnyx/tts no TTS model name Docs
STT_MODEL string telnyx/asr no STT model name Docs

Setup

git clone https://github.com/team-telnyx/telnyx-code-examples.git
cd telnyx-code-examples/ai-content-translator-python
cp .env.example .env
pip install -r requirements.txt
python app.py

Webhook Configuration

Set webhook URL in Telnyx Portal:

  • Call Control Application -> https://<id>.ngrok.io/webhooks/voice

API Reference

POST /translate

Upload as multipart form:

curl -X POST http://localhost:5000/translate \
  -F audio=@lecture.mp3 \
  -F source=en \
  -F target=ja

Response:

{"job_id": "tr-a1b2c3d4", "status": "complete", "source": "en (English)", "target": "ja (Japanese)", "original_length": 1847, "translated_length": 923}

GET /health

curl http://localhost:5000/health

Troubleshooting

  • Connection refused on port 5000: App isn't running. Run python app.py and check no other process uses port 5000.
  • 401 Unauthorized: Your TELNYX_API_KEY is invalid. Generate a new one at portal.telnyx.com/api-keys.
  • AI response slow/empty: Verify model name. See available models at developers.telnyx.com.

Related Examples

Resources