opencode

.gitignore

@@ -1,2 +1,3 @@
 .vscode
-.omo
+.omo
+__pycache__

home/modules/opencode.nix

@@ -0,0 +1,281 @@
+# Declarative OpenCode + oh-my-openagent (oh-my-opencode) plugin setup.
+#
+# Mirrors ~/.config/opencode/ on the current workstation.
+# Imported by home/server.nix (sapphira). Auto-enables programs.opencode.
+#
+# Three files this module owns on disk (via xdg.configFile):
+#   ~/.config/opencode/opencode.json         <- programs.opencode.settings
+#   ~/.config/opencode/tui.json              <- programs.opencode.tui
+#   ~/.config/opencode/oh-my-openagent.json  <- oh-my-openagent plugin config
+#
+# Override any field in the importing module if needed.
+{
+  config,
+  lib,
+  pkgs,
+  ...
+}:
+let
+  # Body of ~/.config/opencode/oh-my-openagent.json.
+  # Loaded by the oh-my-openagent opencode plugin on startup.
+  ohMyOpenagentConfig = {
+    "$schema" = "https://raw.githubusercontent.com/code-yeongyu/oh-my-openagent/dev/assets/oh-my-opencode.schema.json";
+
+    agents = {
+      sisyphus = {
+        model = "opencode/claude-opus-5";
+        variant = "max";
+        fallback_models = [
+          { model = "opencode/kimi-k3"; }
+          {
+            model = "opencode/gpt-5.6-sol";
+            variant = "medium";
+          }
+          { model = "opencode/glm-5"; }
+          { model = "opencode/big-pickle"; }
+        ];
+      };
+      hephaestus = {
+        model = "opencode/gpt-5.6-sol";
+        variant = "medium";
+      };
+      oracle = {
+        model = "opencode/gpt-5.6-sol";
+        variant = "xhigh";
+        fallback_models = [
+          {
+            model = "opencode/gemini-3.1-pro";
+            variant = "high";
+          }
+          {
+            model = "opencode/claude-opus-5";
+            variant = "max";
+          }
+        ];
+      };
+      librarian = {
+        model = "minimax-coding-plan/MiniMax-M3";
+      };
+      explore = {
+        model = "opencode/gpt-5-nano";
+        fallback_models = [
+          { model = "minimax-coding-plan/MiniMax-M3"; }
+        ];
+      };
+      "multimodal-looker" = {
+        model = "opencode/gpt-5.6-sol";
+        variant = "low";
+        fallback_models = [
+          { model = "opencode/gpt-5-nano"; }
+        ];
+      };
+      prometheus = {
+        model = "opencode/claude-fable-5";
+        variant = "high";
+        fallback_models = [
+          {
+            model = "opencode/kimi-k3";
+            variant = "high";
+          }
+        ];
+      };
+      metis = {
+        model = "opencode/claude-opus-5";
+        variant = "high";
+        fallback_models = [
+          {
+            model = "opencode/kimi-k3";
+            variant = "low";
+          }
+        ];
+      };
+      momus = {
+        model = "opencode/gpt-5.6-sol";
+        variant = "xhigh";
+        fallback_models = [
+          {
+            model = "opencode/claude-opus-5";
+            variant = "max";
+          }
+          {
+            model = "opencode/gemini-3.1-pro";
+            variant = "high";
+          }
+        ];
+      };
+      atlas = {
+        model = "opencode/claude-sonnet-4-6";
+        fallback_models = [
+          {
+            model = "opencode/gpt-5.6-sol";
+            variant = "medium";
+          }
+          { model = "minimax-coding-plan/MiniMax-M3"; }
+        ];
+      };
+      "sisyphus-junior" = {
+        model = "opencode/claude-sonnet-4-6";
+        fallback_models = [
+          {
+            model = "opencode/gpt-5.6-sol";
+            variant = "medium";
+          }
+          { model = "minimax-coding-plan/MiniMax-M3"; }
+          { model = "opencode/big-pickle"; }
+        ];
+      };
+    };
+
+    categories = {
+      "visual-engineering" = {
+        model = "opencode/gemini-3.1-pro";
+        variant = "high";
+        fallback_models = [
+          { model = "opencode/glm-5"; }
+          {
+            model = "opencode/claude-opus-5";
+            variant = "max";
+          }
+        ];
+      };
+      ultrabrain = {
+        model = "opencode/gpt-5.6-sol";
+        variant = "xhigh";
+        fallback_models = [
+          {
+            model = "opencode/gemini-3.1-pro";
+            variant = "high";
+          }
+          {
+            model = "opencode/claude-opus-5";
+            variant = "max";
+          }
+        ];
+      };
+      deep = {
+        model = "opencode/gpt-5.6-sol";
+        variant = "medium";
+        fallback_models = [
+          {
+            model = "opencode/claude-opus-5";
+            variant = "max";
+          }
+          {
+            model = "opencode/gemini-3.1-pro";
+            variant = "high";
+          }
+        ];
+      };
+      artistry = {
+        model = "opencode/gemini-3.1-pro";
+        variant = "high";
+        fallback_models = [
+          {
+            model = "opencode/claude-opus-5";
+            variant = "max";
+          }
+          {
+            model = "opencode/gpt-5.6-sol";
+            variant = "high";
+          }
+        ];
+      };
+      quick = {
+        model = "opencode/gpt-5.4-mini";
+        fallback_models = [
+          { model = "opencode/gemini-3-flash"; }
+          { model = "minimax-coding-plan/MiniMax-M3"; }
+          { model = "opencode/gpt-5-nano"; }
+        ];
+      };
+      "unspecified-low" = {
+        model = "opencode/claude-sonnet-4-6";
+        fallback_models = [
+          {
+            model = "opencode/gpt-5.6-sol";
+            variant = "medium";
+          }
+          { model = "opencode/gemini-3-flash"; }
+          { model = "minimax-coding-plan/MiniMax-M3"; }
+        ];
+      };
+      "unspecified-high" = {
+        model = "opencode/claude-sonnet-4-6";
+        fallback_models = [
+          {
+            model = "opencode/gpt-5.6-sol";
+            variant = "medium";
+          }
+          { model = "opencode/gemini-3-flash"; }
+          { model = "minimax-coding-plan/MiniMax-M3"; }
+        ];
+      };
+      writing = {
+        model = "opencode/gemini-3-flash";
+        fallback_models = [
+          { model = "opencode/claude-sonnet-4-6"; }
+          { model = "minimax-coding-plan/MiniMax-M3"; }
+        ];
+      };
+    };
+  };
+in
+{
+  programs.opencode = {
+    enable = true;
+
+    # npx for MCP servers (webpage-mcp) and the plugin loader itself.
+    # nodejs_22 includes npm; plain nodejs does NOT.
+    extraPackages = [ pkgs.nodejs_22 ];
+
+    # ~/.config/opencode/opencode.json
+    settings = {
+      plugin = [ "oh-my-openagent@latest" ];
+      mcp = {
+        webpage = {
+          type = "local";
+          command = [
+            "npx"
+            "-y"
+            "-p"
+            "webpage-mcp@latest"
+            "webpage-mcp-stdio"
+          ];
+        };
+      };
+    };
+
+    # ~/.config/opencode/tui.json
+    # Mirrors workstation: oh-my-openagent also registered for the TUI.
+    tui = {
+      plugin = [ "oh-my-openagent@latest" ];
+    };
+  };
+
+  # ~/.config/opencode/oh-my-openagent.json — read by the plugin on startup.
+  xdg.configFile."opencode/oh-my-openagent.json".text = builtins.toJSON ohMyOpenagentConfig;
+
+  # Expose `opencode web` as a systemd user service. nginx on sapphira
+  # proxies https://opencode.zeroq.su -> 127.0.0.1:4096.
+  #
+  # --hostname 0.0.0.0 binds the listener to every interface (matches the
+  # "0.0.0.0" intent; nginx then reverse-proxies 127.0.0.1:4096 internally).
+  # --cors https://opencode.zeroq.su lets the browser session reach the
+  # server from that origin without CORS rejection.
+  #
+  # SECURITY: with no password, anyone reaching the upstream socket gets full
+  # opencode. Bind 0.0.0.0 + listener == bridge == shell. The password is
+  # supplied via sops-managed EnvironmentFile, declared in modules/users.nix
+  # and decrypted to a path hardcoded here (home-manager modules cannot read
+  # `config.sops.*` — sops-nix options are NixOS-only).
+  programs.opencode.web = {
+    enable = true;
+    environmentFile = "${config.home.homeDirectory}/.config/opencode/server.env";
+    extraArgs = [
+      "--hostname"
+      "0.0.0.0"
+      "--cors"
+      "https://opencode.zeroq.su"
+    ];
+  };
+}

home/server.nix

@@ -8,6 +8,7 @@
 {
   imports = [
     ./minimal.nix
+    ./modules/opencode.nix
   ];
   home.file = xlib.helpers.mkSymlinks config {
     "${config.home.homeDirectory}/External/Music" = "Music";

modules/containers/kokoro-tts.nix

@@ -13,24 +13,18 @@ let
   # config revision: edit a file, `nixos-rebuild`, and the unit below rebuilds
   # and restarts. Reading the context off a checkout at runtime would leave the
   # running container untraceable back to any config.
-  source = pkgs.linkFarm "kokoro-tts-source" [
+  #
-    {
+  # runCommand rather than linkFarm: linkFarm entries are symlinks into other
-      name = "Dockerfile";
+  # store paths, and `podman build` only mounts the context root, so every COPY
-      path = toString ./kokoro-tts/Dockerfile;
+  # fails with "copier: get: lstat ...: no such file or directory". Copying the
-    }
+  # bytes in leaves the context with no symlinks that escape its root.
-    {
+  source = pkgs.runCommand "kokoro-tts-source" { } ''
-      name = "app.py";
+    mkdir -p "$out"
-      path = toString ./kokoro-tts/app.py;
+    cp -L ${./kokoro-tts/Dockerfile} "$out/Dockerfile"
-    }
+    cp -L ${./kokoro-tts/app.py} "$out/app.py"
-    {
+    cp -L ${./kokoro-tts/fetch_assets.py} "$out/fetch_assets.py"
-      name = "fetch_assets.py";
+    cp -L ${./kokoro-tts/requirements.txt} "$out/requirements.txt"
-      path = toString ./kokoro-tts/fetch_assets.py;
+  '';
-    }
-    {
-      name = "requirements.txt";
-      path = toString ./kokoro-tts/requirements.txt;
-    }
-  ];
 
   image = "localhost/kokoro-tts:latest";
 
@@ -64,11 +58,16 @@ in
           ];
 
           environment = {
-            # Inference is CPU-bound and already threaded inside torch; these
+            # Inference is CPU-bound and already threaded inside torch. Measured
-            # keep it from oversubscribing a small machine.
+            # on a 24-logical-core host: median end-to-end latency for a 5.6 s
-            KOKORO_THREADS = "4";
+            # utterance was 1.203 s at 4 threads, 0.979 s at 12, 0.980 s at 16
-            OMP_NUM_THREADS = "4";
+            # and 1.87 s at 24, so the useful ceiling is the physical core count
-            MKL_NUM_THREADS = "4";
+            # and oversubscribing it roughly doubles the wait. These three must
+            # stay equal to the Dockerfile ENV and the app.py default: whichever
+            # of the three is set wins over the others.
+            KOKORO_THREADS = "12";
+            OMP_NUM_THREADS = "12";
+            MKL_NUM_THREADS = "12";
             TZ = "Europe/Moscow";
           };
 
@@ -113,4 +112,4 @@ in
       };
     };
   };
-}
+}

modules/containers/kokoro-tts/Dockerfile

@@ -1,4 +1,7 @@
-FROM python:3.12-slim-bookworm
+# Fully qualified on purpose: NixOS ships a podman registries.conf without
+# unqualified-search-registries, so a bare "python:3.12-slim-bookworm" fails to
+# resolve before the build even starts.
+FROM docker.io/library/python:3.12-slim-bookworm
 
 # Pinned, not "main": a rebuild that only touched the Nix module must not
 # silently pick up different weights. Bump these deliberately.
@@ -8,6 +11,9 @@ ARG KOKORO_RU_REVISION=d649c57b239b18c4c384378127cbf01dba039bc1
 # a second 327 MB one.
 ARG KOKORO_RU_VOICES=sveta,masha,dima
 
+# Thread counts, not a guess: see app.py THREADS. 12 was the measured plateau on
+# a 24-logical-core host, and 24 was ~2x worse. Must stay equal to the Nix
+# module's environment.environment, which wins over this ENV.
 ENV PYTHONUNBUFFERED=1 \
     PIP_NO_CACHE_DIR=1 \
     PIP_DISABLE_PIP_VERSION_CHECK=1 \
@@ -17,9 +23,9 @@ ENV PYTHONUNBUFFERED=1 \
     KOKORO_RU_REVISION=${KOKORO_RU_REVISION} \
     KOKORO_RU_VOICES=${KOKORO_RU_VOICES} \
     KOKORO_MODEL_DIR=/app/kokoro-ru \
-    KOKORO_THREADS=4 \
+    KOKORO_THREADS=12 \
-    OMP_NUM_THREADS=4 \
+    OMP_NUM_THREADS=12 \
-    MKL_NUM_THREADS=4 \
+    MKL_NUM_THREADS=12 \
     TZ=Europe/Moscow
 
 WORKDIR /app
@@ -39,13 +45,19 @@ RUN pip install --index-url https://download.pytorch.org/whl/cpu torch
 COPY requirements.txt ./
 RUN pip install -r requirements.txt
 
-COPY app.py fetch_assets.py ./
+# fetch_assets.py is copied on its own and app.py only after the snapshot, never
+# as one COPY. A single COPY would tie the 639 MB download to the application
+# source: any edit to app.py would invalidate this layer and refetch every
+# checkpoint as hundreds of anonymous, rate-limited requests.
+COPY fetch_assets.py ./
 
 # Bakes the checkpoints, the acute-aware espeak data and ruaccent's ONNX models
 # into the layer, which is what lets the container start with no network and no
 # writable volume.
 RUN python fetch_assets.py
 
+COPY app.py ./
+
 EXPOSE 8000
 
 HEALTHCHECK --interval=30s --timeout=5s --start-period=180s --retries=3 \

modules/containers/kokoro-tts/app.py

@@ -10,10 +10,11 @@ non-native (measured 27% vs 22% round-trip WER, per the model card).
 So: text -> RuG2P.phonemize -> KModel(ipa, voicepack[len(ipa) - 1]) -> waveform.
 
 Endpoints
-    POST /v1/audio/speech   OpenAI text-to-speech
+    POST /v1/audio/speech          OpenAI text-to-speech
-    GET  /v1/models         OpenAI model list
+    POST /v1/audio/speech/stream   same, but mp3/opus emitted while synthesising
-    GET  /v1/voices         voice inventory (extension, not part of OpenAI)
+    GET  /v1/models                OpenAI model list
-    GET  /healthz           readiness, 503 until the model is loaded
+    GET  /v1/voices                voice inventory (extension, not part of OpenAI)
+    GET  /healthz                  readiness, 503 until the model is loaded
 """
 
 from __future__ import annotations
@@ -21,6 +22,7 @@ from __future__ import annotations
 import io
 import logging
 import os
+import queue
 import re
 import subprocess
 import sys
@@ -28,11 +30,11 @@ import threading
 import wave
 from contextlib import asynccontextmanager
 from pathlib import Path
-from typing import TYPE_CHECKING, Literal
+from typing import TYPE_CHECKING, Iterator, Literal
 
 import numpy as np
 from fastapi import FastAPI
-from fastapi.responses import JSONResponse, Response
+from fastapi.responses import JSONResponse, Response, StreamingResponse
 from pydantic import BaseModel, ConfigDict, Field
 
 if TYPE_CHECKING:  # torch is imported lazily so /healthz answers during boot
@@ -42,7 +44,12 @@ MODEL_ID = "kokoro-ru"
 SAMPLE_RATE = 24000
 MODEL_DIR = Path(os.environ.get("KOKORO_MODEL_DIR", "/app/kokoro-ru"))
 DEFAULT_VOICE = os.environ.get("KOKORO_DEFAULT_VOICE", "sveta")
-THREADS = int(os.environ.get("KOKORO_THREADS", os.cpu_count() or 4))
+# Measured on the host this was tuned for (Ryzen AI 9 HX 370, 24 logical cores):
+# median end-to-end latency for a 5.6 s utterance was 1.203 s @ 4 threads,
+# 1.066 s @ 8, 0.979 s @ 12, 0.980 s @ 16, then 1.87 s @ 24. The gain stops at
+# the physical core count and SMT oversubscription costs ~2x, so cap instead of
+# trusting os.cpu_count(), which reports logical CPUs. Override on other hosts.
+THREADS = int(os.environ.get("KOKORO_THREADS", min(12, os.cpu_count() or 4)))
 # 2026-07-29, when the kokoro-ru revision we pin was published. Clients that
 # cache on this treat any change as a new model, so it must stay stable.
 MODEL_CREATED = 1785353253
@@ -223,30 +230,39 @@ class KokoroRu:
             if ps:
                 yield from split_phonemes(ps)
 
-    def synthesize(self, text: str, voice: str, speed: float) -> np.ndarray:
+    def iter_audio_chunks(self, text: str, voice: str, speed: float):
+        """Yields float32 audio per phoneme chunk, silence gaps interleaved.
+
+        The engine lock is held for the whole iteration, so a caller that stops
+        consuming early releases synthesis for everyone else.
+        """
         torch = self._torch
         assert torch is not None, "synthesize() before load()"
         stem, _gender = VOICE_SPECS[voice]
         model = self._models[stem]
         pack = self._packs[voice]
 
-        gap = torch.zeros(int(CHUNK_GAP_S * SAMPLE_RATE), dtype=torch.float32)
+        gap = np.zeros(int(CHUNK_GAP_S * SAMPLE_RATE), dtype=np.float32)
-        pieces: list[torch.Tensor] = []
         with self._lock:
-            for ps in self.phonemes(text):
+            for index, ps in enumerate(self.phonemes(text)):
                 # The style vector is picked by phoneme-string length, which is
                 # why the model sounds deterministic for identical text.
                 style = pack[len(ps) - 1]
                 # The packs ship as [510, 256]; KModel wants a batch of one.
                 if style.dim() == 1:
                     style = style.unsqueeze(0)
-                if pieces:
+                if index:
-                    pieces.append(gap)
+                    yield gap
-                pieces.append(model(ps, style, speed, return_output=True).audio)
+                yield np.asarray(
+                    model(ps, style, speed, return_output=True).audio,
+                    dtype=np.float32,
+                ).reshape(-1)
 
-        if not pieces:
+    def synthesize(self, text: str, voice: str, speed: float) -> np.ndarray:
+        chunks = list(self.iter_audio_chunks(text, voice, speed))
+        if not chunks:
             return np.zeros(0, dtype=np.float32)
-        return torch.cat(pieces).numpy().astype(np.float32, copy=False)
+        return np.concatenate(chunks)
 
 
 def encode(audio: np.ndarray, fmt: str) -> bytes:
@@ -290,6 +306,86 @@ def encode(audio: np.ndarray, fmt: str) -> bytes:
     return done.stdout
 
 
+class StreamEncoder:
+    """One long-lived ffmpeg per request: raw PCM in, encoded bytes out.
+
+    A single process is what keeps the container valid. Handing it the audio in
+    pieces as they are synthesised avoids any byte-level concatenation, whereas
+    encoding the pieces separately and joining the results would emit chained
+    Ogg for opus, which plenty of players reject.
+    """
+
+    def __init__(self, fmt: str) -> None:
+        import imageio_ffmpeg
+
+        self._proc = subprocess.Popen(
+            [
+                imageio_ffmpeg.get_ffmpeg_exe(),
+                "-hide_banner",
+                "-loglevel",
+                "error",
+                "-f",
+                "s16le",
+                "-ar",
+                str(SAMPLE_RATE),
+                "-ac",
+                "1",
+                "-i",
+                "pipe:0",
+                *FFMPEG_ARGS[fmt],
+                "-f",
+                FFMPEG_CONTAINERS[fmt],
+                "pipe:1",
+            ],
+            stdin=subprocess.PIPE,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+        )
+        self._blocks: queue.Queue[bytes | None] = queue.Queue()
+        self._reader = threading.Thread(target=self._pump, daemon=True)
+        self._reader.start()
+
+    def _pump(self) -> None:
+        assert self._proc.stdout is not None
+        while True:
+            block = self._proc.stdout.read(8192)
+            if not block:
+                break
+            self._blocks.put(block)
+        self._blocks.put(None)
+
+    def push(self, audio: np.ndarray) -> None:
+        assert self._proc.stdin is not None
+        clipped = np.clip(audio, -1.0, 1.0)
+        self._proc.stdin.write((clipped * 32767.0).astype("<i2").tobytes())
+        self._proc.stdin.flush()
+
+    def drain(self) -> Iterator[bytes]:
+        """Yields whatever ffmpeg has already emitted, without waiting for more."""
+        while True:
+            try:
+                block = self._blocks.get_nowait()
+            except queue.Empty:
+                return
+            if block is None:
+                return
+            yield block
+
+    def finish(self) -> Iterator[bytes]:
+        assert self._proc.stdin is not None
+        self._proc.stdin.close()
+        self._reader.join(timeout=120)
+        code = self._proc.wait(timeout=30)
+        error = self._proc.stderr.read().decode("utf-8", "replace").strip()[-400:]
+        if code != 0:
+            raise RuntimeError(error or f"ffmpeg exited with {code}")
+        yield from self.drain()
+
+    def abort(self) -> None:
+        if self._proc.poll() is None:
+            self._proc.kill()
+
+
 engine = KokoroRu()
 state: dict[str, str | None] = {"status": "loading", "error": None}
 
@@ -331,6 +427,13 @@ class SpeechRequest(BaseModel):
     speed: float | None = Field(default=None, ge=0.25, le=4.0)
 
 
+class StreamSpeechRequest(SpeechRequest):
+    # Streaming needs a container that tolerates unknown length up front, so wav
+    # (whose header declares the final sizes) and the raw formats are out. mp3
+    # and opus emit bytes as they go, which is the whole point of the endpoint.
+    response_format: Literal["mp3", "opus"] = "mp3"
+
+
 def fail(status: int, message: str, param: str | None = None, code: str | None = None) -> JSONResponse:
     return JSONResponse(
         status_code=status,
@@ -395,6 +498,58 @@ def create_speech(request: SpeechRequest) -> Response | JSONResponse:
     )
 
 
+# response_model=None for the same reason as create_speech above.
+@app.post("/v1/audio/speech/stream", response_model=None)
+def stream_speech(request: StreamSpeechRequest) -> Response | JSONResponse:
+    if state["status"] != "ready":
+        return fail(503, f"model is not ready: {state['status']}", code="model_not_ready")
+
+    voice = resolve_voice(request.voice)
+    if voice is None:
+        available = ", ".join(engine.available_voices())
+        return fail(
+            400,
+            f"unknown voice {request.voice!r}; available: {available}",
+            param="voice",
+            code="unknown_voice",
+        )
+
+    chunks = engine.iter_audio_chunks(request.input, voice, request.speed or 1.0)
+    try:
+        # Pulled before responding: once the status line is sent it cannot become
+        # a 400, and input with no speakable text has to keep failing that way.
+        first = next(chunks)
+    except StopIteration:
+        return fail(
+            400,
+            "input contains no speakable text for the Russian G2P",
+            param="input",
+            code="no_phonemes",
+        )
+
+    def body() -> Iterator[bytes]:
+        encoder = StreamEncoder(request.response_format)
+        try:
+            encoder.push(first)
+            yield from encoder.drain()
+            for chunk in chunks:
+                encoder.push(chunk)
+                yield from encoder.drain()
+            yield from encoder.finish()
+        except Exception:
+            log.exception("streaming synthesis failed")
+            raise
+        finally:
+            chunks.close()
+            encoder.abort()
+
+    return StreamingResponse(
+        body(),
+        media_type=CONTENT_TYPES[request.response_format],
+        headers={"model-id": MODEL_ID, "voice-id": voice},
+    )
+
+
 @app.get("/v1/models")
 def list_models() -> dict:
     return {

modules/server/nginx.nix

@@ -194,6 +194,17 @@ in
           proxyWebsockets = true;
         };
       };
+      # sapphira itself: opencode web runs as a systemd user service
+      # (programs.opencode.web.enable in home/modules/opencode.nix) on
+      # 127.0.0.1:4096 with --hostname 0.0.0.0.
+      "opencode.zeroq.su" = {
+        forceSSL = true;
+        enableACME = true;
+        locations."/" = {
+          proxyPass = "http://127.0.0.1:4096";
+          proxyWebsockets = true;
+        };
+      };
       "nextcloud.zeroq.su" = {
         forceSSL = true;
         enableACME = true;

modules/users.nix

@@ -8,7 +8,9 @@ let
   user = "${xlib.device.username}";
   userGroup = config.users.users."${user}".group;
 
-  # sops secret factory: name == key by default, owner/group default to root
+  # sops secret factory: name == key by default, owner/group default to root.
+  # `format` and `sopsFile` default to yaml + defaultSopsFile, matching every
+  # pre-existing caller.
   mkSecret =
     {
       path,
@@ -16,14 +18,16 @@ let
       key ? null,
       owner ? null,
       group ? null,
+      format ? "yaml",
+      sopsFile ? null,
     }:
     {
-      format = "yaml";
+      inherit format path mode;
-      inherit path mode;
     }
     // lib.optionalAttrs (key != null) { inherit key; }
     // lib.optionalAttrs (owner != null) { inherit owner; }
-    // lib.optionalAttrs (group != null) { inherit group; };
+    // lib.optionalAttrs (group != null) { inherit group; }
+    // lib.optionalAttrs (sopsFile != null) { inherit sopsFile; };
 
   # default owner = device user
   mkUserSecret =
@@ -98,6 +102,35 @@ in
         path = "${xlib.dirs.user-home}/.config/sops/age/keys.txt";
         mode = "0600";
       };
+      # opencode web server creds + Gemini API key.
+      # Decrypted as a single dotenv file (no `key`) and consumed by the
+      # systemd user unit opencode-web as EnvironmentFile.
+      # Source: secrets/opencode.env (encrypted, see sops/age below).
+      opencode_server = mkUserSecret {
+        path = "${xlib.dirs.user-home}/.config/opencode/server.env";
+        mode = "0600";
+        format = "dotenv";
+        sopsFile = ../secrets/opencode.env;
+      };
+      # opencode provider credentials (XDG_DATA_HOME/opencode/...).
+      # Both files are read by opencode at startup to populate the providers
+      # list. Mirror of ~/.local/share/opencode/ on the workstation.
+      # key = "" → decrypt the WHOLE file as-is (the JSON has no top-level
+      # field named after the secret; it IS the secret).
+      opencode_auth = mkUserSecret {
+        path = "${xlib.dirs.user-home}/.local/share/opencode/auth.json";
+        mode = "0600";
+        format = "json";
+        sopsFile = ../secrets/opencode-auth.json;
+        key = "";
+      };
+      opencode_account = mkUserSecret {
+        path = "${xlib.dirs.user-home}/.local/share/opencode/account.json";
+        mode = "0600";
+        format = "json";
+        sopsFile = ../secrets/opencode-account.json;
+        key = "";
+      };
       ssh_key_private = mkUserSecret {
         path = "${xlib.dirs.user-home}/.ssh/id_ed25519";
         mode = "0600";

secrets/opencode-account.json

@@ -0,0 +1,29 @@
+{
+	"version": "ENC[AES256_GCM,data:Og==,iv:7CSdsBk5u2UKOn1dE6CYOiPlmYYkUmmxV1VD6nVIIoc=,tag:z1z57WidbvdlIY5CHQU/TA==,type:int]",
+	"accounts": {
+		"fa02561b1001pVHOSO4a6JW9Cv": {
+			"id": "ENC[AES256_GCM,data:Xm+h0mYIkOAhRI2MZt/nNxMZ+UW7twFu3a4=,iv:PQlE5hc5UPpShQju31AjNKlmaBovCH0eKGnMi1wIfwg=,tag:P1qA5OAQMyICDk52m3jCfA==,type:str]",
+			"serviceID": "ENC[AES256_GCM,data:5S0wMZ1ES5GjSnp1uXhuxLdjlA==,iv:6DvaCiDjBo/tKpjVSazxSNtticZjAmrcA00jjzXsKmc=,tag:S24kxmT6GJyoKSywJGCYlw==,type:str]",
+			"description": "ENC[AES256_GCM,data:HEISFOphDA==,iv:3IvEjXPs1RA0xeOO2k3ECdGUXb55ueR0yxJSdWDqqho=,tag:YgtEMx7nPxgY4xjr8B3isA==,type:str]",
+			"credential": {
+				"type": "ENC[AES256_GCM,data:kdOU,iv:8umxWXKvaDqYO5woOQDqTuuwtdgJ7oVJD8XU7D841k4=,tag:QBRDcCCIqbfbvY3d2CD67w==,type:str]",
+				"key": "ENC[AES256_GCM,data:PGzIgMDQkclf4RiDO3lQE/fQ4V0hM6nvFB/XpUqdMiAKvW/cQyCdmxdwwJQe4FSPHwyYzYDfi0VULf/tfYq+hOx5mC5F0/9ldLw2cbf68TPdcCMjIZEokLUAqe0qJlTnGxdO4PRzzL1LvOKr3Mlo4KcgoUpmeFPxwvxL2Wk=,iv:Z4gna9cUuz3YjtS2v0+WsKmJV66dryl+XtBdLbUGhrI=,tag:WPgVnEFfrJtG2pXRHGXVDQ==,type:str]"
+			}
+		}
+	},
+	"active": {
+		"minimax-coding-plan": "ENC[AES256_GCM,data:Bt0Yhiz5qmJ1BIU8bDle7mVtyVC6r/lX4gY=,iv:CRmuL1bL0Jc+RFeoSbZyyIHSyBd/RojNjzzVRRODFjs=,tag:mOdKWxDWQLgYSVYiM6hugw==,type:str]"
+	},
+	"sops": {
+		"age": [
+			{
+				"enc": "-----BEGIN AGE ENCRYPTED FILE-----\nYWdlLWVuY3J5cHRpb24ub3JnL3YxCi0+IFgyNTUxOSAyUk03UnVZOUtKcDJhTUdy\nMUhBcDNROGxHR1RPcEZjeHdnYmtWck5KcVZnClIvckVxZmdBQWg3b0FsVFRVRVBP\nRUVaVTFqeDFQbVYvNk42MnlFVlJpTmsKLS0tIFBBaWJwb09ySGFGUHZsajhlb01v\nek10Q3FBWUM5Wms0UUFtV1p1b29mL1kK+hr3lbwBDmtedEeA0hnXSAxC/HOE/9iz\n5kMSbzno+UXnVG/EfLHsks2G43caBmCZlUp7spTt5DLnpwL923GnFQ==\n-----END AGE ENCRYPTED FILE-----\n",
+				"recipient": "age13l2gtk0nzr484zprp7e0pkrt0ne0j4asyn2pjmlaw73nte7t7d8q4sqtxm"
+			}
+		],
+		"lastmodified": "2026-10-03T13:34:07Z",
+		"mac": "ENC[AES256_GCM,data:e+4yZeDnprtRi1jkP8A9DxNOjemIIi9VwOANAnT2f1UEJVBm6v3MPrlLPZ3Kyg7I2wnIw25Ih6boDn92fxWrIut8PmFPFmlCUu0v4mK49YQmB4dA/i/RYQMAZ6pG2JtPMUWOYsHppU67RB/hKQmJigZSz49tBOHiDrgUa+kfK9c=,iv:872D82r8gIl+mMYNy7iEhnxG/1HwrNg1TO6QXIf7Vo4=,tag:Sd8pSaYZhRxRY6jUL9DxhQ==,type:str]",
+		"unencrypted_suffix": "_unencrypted",
+		"version": "3.13.3"
+	}
+}

secrets/opencode-auth.json

@@ -0,0 +1,18 @@
+{
+	"minimax-coding-plan": {
+		"type": "ENC[AES256_GCM,data:cW4a,iv:giJwLOEm5ZoyX1fly0R0xTUsMqtAClmpuSk6d9kaHb4=,tag:YrR/kW3ZFOxot9WeP9kibw==,type:str]",
+		"key": "ENC[AES256_GCM,data:SvZTe8f3/Es1/DOLpcXuY7IyJpLlkuEN38wUd1uBdOdkzA9QZxkroQ93fuvyqSDFAIfDEfSQsAElME3VzaFVB0Y8t97wB2gXWm4xHXjFyzcu+uaOq/deBQ+B13/xMFfjsMlKR1H1WJ4VRZYY3sc70Wsvid+6hxOdO/a/i3k=,iv:x53HYXFeQ9NEMr5SDM8KEOsrzIMzdNAtSeY26FdKkMw=,tag:uW2xCO+cA7nKHWHpBZCVkw==,type:str]"
+	},
+	"sops": {
+		"age": [
+			{
+				"enc": "-----BEGIN AGE ENCRYPTED FILE-----\nYWdlLWVuY3J5cHRpb24ub3JnL3YxCi0+IFgyNTUxOSBlSkw3Z0VrTjBBa1VsQlRp\nbHUrZ3hXb1Q1Z0kxdVJhV1hVWnNLUUdDclhjCjg0aTNuUlhNNzdFajhPNE1DN2Fn\nZzJZNVRUYUxpNDFJK3pLTkE4UWFsbkUKLS0tIE8wUkZuN21aaXhpZlNzUnBZR0tC\nU2xwcjRJNnRPdTJ6elRhS08ybjlOS1kKBIfDuZSIOFoxCUc21GnqxipT0ouxDHsB\nXGBvj8zkJ+07tDVMYAhjWYkQK9wBNtUMvgxKedvLZNIn0Hm0Z0rPkw==\n-----END AGE ENCRYPTED FILE-----\n",
+				"recipient": "age13l2gtk0nzr484zprp7e0pkrt0ne0j4asyn2pjmlaw73nte7t7d8q4sqtxm"
+			}
+		],
+		"lastmodified": "2026-10-03T13:34:07Z",
+		"mac": "ENC[AES256_GCM,data:lUAw+AL62sxoy695aV1lYgUm4JQwzC+7c36vupe/mJCeNNzVm5ZadGaGsno28EmF4fGxOVsJzn939nhNRtQZ6MwZNhShoSZBmpO51vHRm1YsfAR1sWi/u9akbcu906fjrJLyql9sWWmnxiqxn70gq4Ov6ptsx0VjtiwyWOk+cps=,iv:zckNKtUMu+4DKYp9hwbMPtm6bh46iRNGguff3AIfOa0=,tag:b7svS76JLEJmb+gkPNhQhQ==,type:str]",
+		"unencrypted_suffix": "_unencrypted",
+		"version": "3.13.3"
+	}
+}

secrets/opencode.env

@@ -0,0 +1,9 @@
+OPENCODE_SERVER_USERNAME=ENC[AES256_GCM,data:6dqD4TnURrk=,iv:UUOBwiykDe9Wv/78wmmx5JnJEWScQRQh2yM+806lF7Y=,tag:vpSB652uQ+ASZQh4PS12Sw==,type:str]
+OPENCODE_SERVER_PASSWORD=ENC[AES256_GCM,data:mAIHJ5+pupEFdbTurc6davXecgPrHA==,iv:n3BNhwxbJJ6WVq02ANUi0nNAploCsPQIF/JBT1TXxHg=,tag:2YKnOytFny9x8rg8X/7nxA==,type:str]
+GEMINI_API_KEY=ENC[AES256_GCM,data:hKbpsv1ZrhROPMHYUUAc/oErz0JPSORLr7/B8N1VgbqVZ1FoVf7LM5o=,iv:+3hzXJkjSwpBdwB231PnuE7T+c7A6bmYCckKAqljO0Q=,tag:VVKsFxptQEg6GZAdCQ1A+g==,type:str]
+sops_age__list_0__map_enc=-----BEGIN AGE ENCRYPTED FILE-----\nYWdlLWVuY3J5cHRpb24ub3JnL3YxCi0+IFgyNTUxOSBPZFdZZUZxOXRXUUF1NVdV\nRmUrQ2FqeGJWdTZvVkxncEpBb3FpaW5VUEM4Ck1WQ0xLVzBrOG1IOER1dXhxZUEy\nTnV3SnlFSi83b3VGdWtQZ0hYeXRyNEUKLS0tIHhqai9mYVRmR091S0w5cmNMK0Y0\nZVVUdzB6Ky9PUFExclBNcnZUQWFrOXcKQq4qlRz5+1GR3LB9/CkZSz1nyFthk7mg\n2j3wUXQ41kyRUu8pM40eCxHVkpMaa/7fjZ40nRjrnwZ7Brd5Q8z3MQ==\n-----END AGE ENCRYPTED FILE-----\n
+sops_age__list_0__map_recipient=age13l2gtk0nzr484zprp7e0pkrt0ne0j4asyn2pjmlaw73nte7t7d8q4sqtxm
+sops_lastmodified=2026-10-03T12:47:19Z
+sops_mac=ENC[AES256_GCM,data:thYwpX+SrNRL3hdvUzXPzh3Q07Dt6ZF6cplKS5Iopj7twS5lQoB4C1OuWf00GUUPDEOaxF3WK24XiRkMoA8TZHSLJ/k8HPV9tDlPnNHMh3pMj9pIfR5NTDMASmld17PjBvwPMOB/uvMn26O1G6G3ImW4Zioy3AyDP2zmed9+3Xk=,iv:uKGvvwvDTEQom636P9YcUjLMpIrRusCFI9HJqNJihkw=,tag:Qfc5KRSNn+Yy74pKKvkjOA==,type:str]
+sops_unencrypted_suffix=_unencrypted
+sops_version=3.13.3