One thread in full by id (omit no for the current top thread)

Fragmentos de código

curl "https://api.oanor.com/fourchan-api/v1/thread" \
  -H "x-oanor-key: oanor_test_..."

await fetch("https://api.oanor.com/fourchan-api/v1/thread", {
  headers: { "x-oanor-key": "oanor_test_..." }
});

$ch = curl_init("https://api.oanor.com/fourchan-api/v1/thread");
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$out = curl_exec($ch);

import requests
requests.get(
    "https://api.oanor.com/fourchan-api/v1/thread",
    headers={"x-oanor-key": "oanor_test_..."}
)

Respuesta de ejemplo

Una respuesta real de este endpoint, capturada en la última comprobación de estado.

{
    "data": {
        "no": 109007468,
        "op": {
            "no": 109007468,
            "name": "Anonymous",
            "time": 1780934582,
            "image": "1752107789693502.jpg",
            "images": 57,
            "comment": "/lmg/ - a general dedicated to the discussion and development of local language models. Previous threads: >>109001981 & >>108997418 ►News >(06/07) llama : add Gemma4 MTP #23398 MERGED: https://github.com/ggml-org/llama.cpp/pull/23398 >(06/05) dots.tts 2B released: https://hf.co/rednote-hilab/dots.tts-soar >(06/05) Gemma 4 QAT models released: https://blog.google/innovation-and-ai/technology/developers-tools/quantization-aware-training-gemma-4 >(06/04) Higgs Audio v3 TTS released: https://boson.ai/blog/higgs-audio-v3-tts ►News Archive: https://rentry.org/lmg-news-archive ►Glossary: https://rentry.org/lmg-glossary ►Links: https://rentry.org/LocalModelsLinks ►Official /lmg/ card: https://files.catbox.moe/cbclyf.png ►Getting Started https://rentry.org/lmg-lazy-getting-started-guide https://rentry.org/lmg-build-guides https://rentry.org/IsolatedLinuxWebService https://rentry.org/recommended-models https://rentry.org/samplers https://rentry.org/MikupadIntroGuide ►Further Learning https://rentry.org/machine-learning-roadmap https://rentry.org/llm-training https://rentry.org/LocalModelsPapers ►Benchmarks LiveBench: https://livebench.ai Programming: https://swe-rebench.com Agentic Coding: https://deepswe.datacurve.ai Context Length: https://github.com/adobe-research/NoLiMa GPUs: https://github.com/XiongjieDai/GPU-Benchmarks-on-LLM-Inference ►Tools Alpha Calculator: https://desmos.com/calculator/ffngla98yc GGUF VRAM Calculator: https://hf.co/spaces/NyxKrage/LLM-Model-VRAM-Calculator Sampler Visualizer: https://artefact2.github.io/llm-sampling Token Speed Visualizer: https://shir-man.com/tokens-per-second ►Text Gen. UI, Inference Engines https://github.com/lmg-anon/mikupad https://github.com/oobabooga/text-generation-webui https://github.com/LostRuins/koboldcpp https://github.com/ggerganov/llama.cpp https://github.com/theroyallab/tabbyAPI https://github.com/vllm-project/vllm",
            "replies": 462
        },
        "url": "https://boards.4chan.org/g/thread/109007468",
        "board": "g",
        "title": "Technology",
        "source": "4chan",
        "replies": [
            {
                "no": 109007470,
                "name": "Anonymous",
                "time": 1780934599,
                "image": "threadrecap.png",
                "comment": "►Recent Highlights from the Previous Thread: >>109001981 --Optimizing MTP and speculative decoding for Gemma 4 31B: >109003541 >109003556 >109003564 >109003589 >109003687 >109003623 >109003661 >109003690 >109003703 >109003721 >109003839 >109004005 >109003672 >109004651 >109004672 >109004720 >109004721 >109004762 --Configuring MTP draft flags in llama-server to improve token speed: >109004904 >109004935 >109004947 >109004965 >109004980 >109004992 >109004988 >
…