fix(mcp): converge MCP config for B850 — agent-zero SSE, archon disabled, hostinger + tailscale #2303
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| # PMOVES.AI Ultimate-TTS-Studio — ROCm (AMD GPU) variant | ||
| # Multi-engine TTS for AMD ROCm nodes (RDNA3/RDNA4: gfx1100, gfx1201) | ||
| # | ||
| # Uses the same pytorch/pytorch conda base as the CUDA Dockerfile to get | ||
| # Python 3.11 + conda + pynini, then replaces CUDA PyTorch with ROCm PyTorch | ||
| # via pip. This avoids conda solver conflicts with pynini on Ubuntu. | ||
| # | ||
| # Build: | ||
| # docker build -f docker/ultimate-tts-studio/Dockerfile.rocm \ | ||
| # -t ghcr.io/powerfulmoves/pmoves-ultimate-tts-studio:rocm-latest \ | ||
| # --build-arg HSA_OVERRIDE_GFX_VERSION=12.0.1 \ | ||
| # ./docker/ultimate-tts-studio/ | ||
| # | ||
| # Usage: | ||
| # make -C pmoves up-voice-amd | ||
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| # ── Stage 1: Builder ────────────────────────────────────────────────────────── | ||
| # Same base as CUDA Dockerfile — provides conda + Python 3.11 + pynini | ||
| FROM pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime@sha256:c8268a92a69bd500f8be0e665b2630ee006dadaf7bfbc24249141b15ff622755 AS builder | ||
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| ENV DEBIAN_FRONTEND=noninteractive \ | ||
| PYTHONDONTWRITEBYTECODE=1 \ | ||
| PYTHONUNBUFFERED=1 \ | ||
| PIP_DISABLE_PIP_VERSION_CHECK=1 \ | ||
| PIP_NO_CACHE_DIR=1 | ||
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| WORKDIR /build | ||
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| # System deps for audio + build utilities | ||
| RUN apt-get update && apt-get install -y --no-install-recommends \ | ||
| ffmpeg \ | ||
| espeak-ng \ | ||
| libespeak-ng1 \ | ||
| libespeak-ng-dev \ | ||
| libsndfile1 \ | ||
| libportaudio2 \ | ||
| portaudio19-dev \ | ||
| libaio-dev \ | ||
| libsox-dev \ | ||
| sox \ | ||
| git \ | ||
| curl \ | ||
| build-essential \ | ||
| cmake \ | ||
| protobuf-compiler \ | ||
| libprotobuf-dev \ | ||
| && rm -rf /var/lib/apt/lists/* | ||
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| # Conda packages (pynini + scipy/numpy ABI compat — same as CUDA Dockerfile) | ||
| RUN conda install -c conda-forge pynini==2.1.6 portaudio scipy=1.11.4 numpy=1.26.4 -y && \ | ||
| conda clean -afy | ||
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| # Replace CUDA PyTorch with ROCm PyTorch | ||
| # The base image ships torch+cu124; we uninstall and reinstall the ROCm wheel | ||
| RUN pip uninstall -y torch torchaudio torchvision 2>/dev/null || true && \ | ||
| pip install --pre torch torchaudio torchvision \ | ||
| --index-url https://download.pytorch.org/whl/nightly/rocm6.3 | ||
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| # Clone from PMOVES fork | ||
| RUN git clone --depth 1 https://github.com/POWERFULMOVES/PMOVES-Ultimate-TTS-Studio.git app | ||
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| WORKDIR /build/app | ||
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| # Install gradio and devicetorch first | ||
| RUN pip install --upgrade pip && \ | ||
| pip install gradio devicetorch | ||
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| # Pin huggingface-hub <1.0 before requirements | ||
| RUN pip install "huggingface-hub>=0.25.0,<1.0" | ||
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| # Pre-install packages that fail to build from source | ||
| RUN pip install \ | ||
| onnx==1.16.0 \ | ||
| s3tokenizer>=0.1.6 | ||
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| # Constraint file (same as CUDA Dockerfile) | ||
| RUN echo "onnx==1.16.0" > /tmp/constraints.txt && \ | ||
| echo "scipy==1.11.4" >> /tmp/constraints.txt && \ | ||
| echo "numpy==1.26.4" >> /tmp/constraints.txt && \ | ||
| echo "pydantic<2.12" >> /tmp/constraints.txt | ||
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| # Install upstream requirements.txt | ||
| RUN pip install -c /tmp/constraints.txt -r requirements.txt || \ | ||
| pip install --use-deprecated=legacy-resolver -c /tmp/constraints.txt -r requirements.txt | ||
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| # Install supplementary PMOVES requirements (einops, omegaconf, etc.) | ||
| COPY requirements-ultimate-tts.txt /tmp/requirements-ultimate-tts.txt | ||
| RUN pip install -c /tmp/constraints.txt -r /tmp/requirements-ultimate-tts.txt || \ | ||
| echo "WARN: Some supplementary deps failed (non-fatal)" | ||
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| # WeTextProcessing without deps | ||
| RUN pip install WeTextProcessing --no-deps || true | ||
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| # Fix phonemizer-fork | ||
| RUN pip uninstall -y phonemizer 2>/dev/null || true && \ | ||
| pip install phonemizer-fork | ||
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| # onnxruntime (CPU on ROCm — GPU provider needs ROCm-specific build) | ||
| RUN pip install -c /tmp/constraints.txt --upgrade --force-reinstall --no-deps --no-cache-dir onnxruntime==1.22.0 || \ | ||
| pip install -c /tmp/constraints.txt onnxruntime==1.22.0 | ||
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| # voxcpm and openai-whisper without deps | ||
| RUN pip install -c /tmp/constraints.txt voxcpm openai-whisper --no-deps || true | ||
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| # NOTE: Triton is CUDA-only — skipped on ROCm. PyTorch uses native attention. | ||
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| # MCP for Gradio MCP server support | ||
| RUN pip install -c /tmp/constraints.txt mcp | ||
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| # Download spacy model | ||
| RUN python -m spacy download en_core_web_sm || true | ||
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| # Final numpy/scipy fix | ||
| RUN pip uninstall -y numpy deepspeed 2>/dev/null || true && \ | ||
| rm -rf /opt/conda/lib/python3.11/site-packages/numpy* && \ | ||
| pip install --force-reinstall "numpy==1.26.4" "scipy==1.11.4" && \ | ||
| pip install --upgrade numba llvmlite && \ | ||
| rm -rf /opt/conda/lib/python3.11/site-packages/numpy/_core | ||
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| # Pre-download model checkpoint | ||
| RUN huggingface-cli download cocktailpeanut/oa --local-dir ./checkpoints/openaudio-s1-mini --quiet || \ | ||
| echo "Model download will happen at runtime" | ||
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| # ── Stage 2: Runtime ────────────────────────────────────────────────────────── | ||
| # Use Ubuntu 22.04 (no CUDA runtime needed — ROCm PyTorch ships its own libs) | ||
| FROM ubuntu:22.04 AS runtime | ||
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| ENV DEBIAN_FRONTEND=noninteractive \ | ||
| PYTHONDONTWRITEBYTECODE=1 \ | ||
| PYTHONUNBUFFERED=1 \ | ||
| GRADIO_SERVER_NAME=0.0.0.0 \ | ||
| GRADIO_SERVER_PORT=7861 \ | ||
| GRADIO_MCP_SERVER=false \ | ||
| HF_HOME=/data/hf \ | ||
| HUGGINGFACE_HUB_CACHE=/data/hf \ | ||
| XDG_CACHE_HOME=/data/cache \ | ||
| HSA_OVERRIDE_GFX_VERSION=12.0.1 \ | ||
| PYTORCH_HIP_ALLOC_CONF=garbage_collection_threshold:0.6,max_split_size_mb:512 \ | ||
| LD_LIBRARY_PATH="/opt/conda/lib:/opt/rocm/lib:${LD_LIBRARY_PATH}" \ | ||
| PATH="/opt/conda/bin:${PATH}" \ | ||
| DISABLE_NVIDIA=true | ||
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| # Runtime system deps | ||
| RUN apt-get update && apt-get install -y --no-install-recommends \ | ||
| ffmpeg \ | ||
| espeak-ng \ | ||
| libespeak-ng1 \ | ||
| libsndfile1 \ | ||
| libportaudio2 \ | ||
| libaio1 \ | ||
| libsox3 \ | ||
| sox \ | ||
| curl \ | ||
| ca-certificates \ | ||
| && rm -rf /var/lib/apt/lists/* \ | ||
| && apt-get clean | ||
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| # Create non-root user | ||
| RUN groupadd -g 65532 pmoves && \ | ||
| useradd -u 65532 -g pmoves -d /app -s /bin/bash pmoves | ||
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| # Copy Python environment from builder | ||
| COPY --from=builder /opt/conda /opt/conda | ||
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| # Copy application code | ||
| COPY --from=builder /build/app /app | ||
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| RUN mkdir -p /app/outputs /app/models /data/hf /data/cache && \ | ||
| chown -R pmoves:pmoves /app /data | ||
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| WORKDIR /app | ||
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| USER pmoves | ||
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| EXPOSE 7861 | ||
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| HEALTHCHECK --interval=30s --timeout=10s --start-period=180s --retries=3 \ | ||
| CMD curl -f http://localhost:7861/gradio_api/info || exit 1 | ||
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| CMD ["python", "launch.py"] |
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These entries are added only to the generated v1 manifest. The canonical
secrets-funnelrunschit-manifest-sync, which rebuilds this file fromsecrets_manifest_v2.yaml; because neither ID exists there, the next funnel run deletes both entries before hydration, soTAILSCALE_API_KEYandTAILSCALE_TAILNETnever reachenv.tier-agent. Add them to the v2 source and regenerate the v1 file instead.AGENTS.md reference: AGENTS.md:L92-L95
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