Update renovate/renovate Docker tag to v43.217.1

.woodpecker/renovate.yaml

@@ -21,7 +21,7 @@ steps:
       - bao kv get -mount secret -field RENOVATE_TOKEN renovate > /woodpecker/renovate_token
       - bao kv get -mount secret -field GITHUB_COM_TOKEN renovate > /woodpecker/github_com_token
   - name: Run Renovate
-    image: renovate/renovate:43.220.0
+    image: renovate/renovate:43.217.1
     environment:
       RENOVATE_AUTODISCOVER: "true"
       RENOVATE_ENDPOINT: https://gitea.lumpiasty.xyz/api/v1

apps/llama/configs/config.yaml

@@ -19,7 +19,7 @@ hooks:
   on_startup:
     preload:
       - "Qwen3.5-0.8B-GGUF-nothink:Q4_K_XL"
-      - "parakeet-tdt_ctc-1.1b"
+      - "whisper-small"
 
 # matrix replaces groups (they are mutually exclusive).
 # The small 0.8B model runs alongside any LLM.
@@ -27,7 +27,7 @@ hooks:
 matrix:
   vars:
     q8: "Qwen3.5-0.8B-GGUF-nothink:Q4_K_XL"
-    stt: "parakeet-tdt_ctc-1.1b"
+    stt: "whisper-small"
     flux: "flux2-klein-4b:Q4_K_M"
     coder: "Qwen3-Coder-Next-GGUF:Q4_K_M"
     q35t: "Qwen3.5-35B-A3B-GGUF:Q4_K_M"
@@ -58,7 +58,6 @@ matrix:
     # FLUX runs alone — evicts everything including q8, but keeps STT for voice during image gen
     image_gen: "flux & stt"
 
-
 models:
   "Qwen3-Coder-Next-GGUF:Q4_K_M":
     cmd: |
@@ -236,14 +235,20 @@ models:
       --parallel 1
       ${common_args}
 
-  # STT via parakeet-server (parakeet.cpp OpenAI-compatible server, CPU, always loaded)
+  # STT via whisper.cpp (Vulkan GPU on RX 580, always loaded, ~600MB VRAM)
-  # Model downloaded on first start and cached under /root/.cache/parakeet.cpp/models
+  # Model auto-downloaded by init container, see deployment.yaml
-  # parakeet-proxy.py sits in front to convert any audio format to WAV via ffmpeg,
+  # Note: Vulkan whisper on AMD GPUs has known quality issues on some cards;
-  # since parakeet-server only accepts real WAV but browsers send Ogg/Opus.
+  # if transcriptions come out as garbage/gibberish, add --no-gpu to fall back.
-  "parakeet-tdt_ctc-1.1b":
+  "whisper-small":
     checkEndpoint: none
     cmd: |
-      env PROXY_PORT=${PORT} FFMPEG_BIN=/root/.cache/ffmpeg/ffmpeg python3 /config/parakeet-proxy.py
+      whisper-server
+        --port ${PORT}
+        -m /root/.cache/whisper/ggml-small.bin
+        --request-path /v1/audio
+        --inference-path /transcriptions
+        --convert
+        --threads 6
 
 
   # Image generation via stable-diffusion.cpp (sd-server)

apps/llama/configs/parakeet-proxy.py

@@ -1,227 +0,0 @@
-#!/usr/bin/env python3
-"""
-Thin reverse proxy for parakeet-server.
-
-Accepts POST /v1/audio/transcriptions with any audio format,
-converts the audio to 16 kHz mono WAV via ffmpeg, then forwards
-the converted file to the real parakeet-server running on PARAKEET_PORT.
-
-Also proxies GET /health straight through.
-
-Usage:
-    PROXY_PORT=<port>  PARAKEET_PORT=<upstream>  python3 parakeet-proxy.py
-"""
-
-import http.server
-import io
-import os
-import subprocess
-import sys
-import tempfile
-import urllib.request
-import urllib.error
-
-PROXY_PORT    = int(os.environ.get("PROXY_PORT", "8080"))
-PARAKEET_PORT = PROXY_PORT + 1
-FFMPEG        = os.environ.get("FFMPEG_BIN", "ffmpeg")
-MODEL         = os.environ.get("PARAKEET_MODEL", "tdt_ctc-1.1b-q4_k.gguf")
-CACHE_DIR     = os.environ.get("PARAKEET_CACHE_DIR", "/root/.cache/parakeet.cpp/models")
-
-
-def convert_to_wav(data: bytes) -> bytes:
-    """Convert any audio bytes to 16 kHz mono PCM WAV via ffmpeg."""
-    with tempfile.NamedTemporaryFile(suffix=".input", delete=False) as inf:
-        inf.write(data)
-        inf_path = inf.name
-    out_path = inf_path + ".wav"
-    try:
-        subprocess.run(
-            [
-                FFMPEG, "-y",
-                "-i", inf_path,
-                "-ar", "16000",
-                "-ac", "1",
-                "-f", "wav",
-                out_path,
-            ],
-            check=True,
-            stdout=subprocess.DEVNULL,
-            stderr=subprocess.DEVNULL,
-        )
-        with open(out_path, "rb") as f:
-            return f.read()
-    finally:
-        os.unlink(inf_path)
-        if os.path.exists(out_path):
-            os.unlink(out_path)
-
-
-def parse_multipart(content_type: str, body: bytes):
-    """
-    Parse a multipart/form-data body.
-    Returns a dict of field_name -> (filename_or_None, content_type, data).
-    """
-    import email
-    from email import policy as email_policy
-
-    # email.parser needs the full MIME headers to parse multipart
-    raw = b"Content-Type: " + content_type.encode() + b"\r\n\r\n" + body
-    msg = email.message_from_bytes(raw, policy=email_policy.compat32)
-    parts = {}
-    for part in msg.get_payload():
-        cd = part.get("Content-Disposition", "")
-        name = None
-        filename = None
-        for item in cd.split(";"):
-            item = item.strip()
-            if item.startswith('name='):
-                name = item[5:].strip('"')
-            elif item.startswith('filename='):
-                filename = item[9:].strip('"')
-        if name is not None:
-            parts[name] = (filename, part.get_content_type(), part.get_payload(decode=True))
-    return parts
-
-
-def build_multipart(fields: dict) -> tuple[bytes, str]:
-    """
-    Build a multipart/form-data body from fields dict:
-      field_name -> (filename_or_None, content_type, data_bytes)
-    Returns (body_bytes, content_type_header_value).
-    """
-    boundary = b"----ParakeetProxyBoundary0xDEADBEEF"
-    body = b""
-    for name, (filename, ct, data) in fields.items():
-        body += b"--" + boundary + b"\r\n"
-        if filename:
-            body += (
-                f'Content-Disposition: form-data; name="{name}"; filename="{filename}"\r\n'
-            ).encode()
-        else:
-            body += f'Content-Disposition: form-data; name="{name}"\r\n'.encode()
-        body += f"Content-Type: {ct}\r\n\r\n".encode()
-        body += data + b"\r\n"
-    body += b"--" + boundary + b"--\r\n"
-    return body, f"multipart/form-data; boundary={boundary.decode()}"
-
-
-class ProxyHandler(http.server.BaseHTTPRequestHandler):
-    def log_message(self, fmt, *args):
-        print(f"[parakeet-proxy] {self.address_string()} - {fmt % args}", flush=True)
-
-    def do_GET(self):
-        if self.path == "/health":
-            self._forward_get("/health")
-        else:
-            self.send_response(404)
-            self.end_headers()
-
-    def do_POST(self):
-        if self.path.rstrip("/") == "/v1/audio/transcriptions":
-            self._handle_transcription()
-        else:
-            self.send_response(404)
-            self.end_headers()
-
-    def _forward_get(self, path):
-        try:
-            url = f"http://127.0.0.1:{PARAKEET_PORT}{path}"
-            with urllib.request.urlopen(url, timeout=5) as resp:
-                body = resp.read()
-                self.send_response(resp.status)
-                self.send_header("Content-Type", resp.headers.get("Content-Type", "application/json"))
-                self.end_headers()
-                self.wfile.write(body)
-        except Exception as e:
-            self.send_response(502)
-            self.end_headers()
-            self.wfile.write(str(e).encode())
-
-    def _handle_transcription(self):
-        length = int(self.headers.get("Content-Length", 0))
-        body = self.rfile.read(length)
-        ct = self.headers.get("Content-Type", "")
-
-        try:
-            fields = parse_multipart(ct, body)
-        except Exception as e:
-            self._error(400, f"failed to parse multipart: {e}")
-            return
-
-        if "file" not in fields:
-            self._error(400, "missing required field 'file'")
-            return
-
-        filename, file_ct, audio_data = fields["file"]
-
-        # Convert to WAV regardless of what we received
-        try:
-            wav_data = convert_to_wav(audio_data)
-        except subprocess.CalledProcessError:
-            self._error(400, "ffmpeg could not decode audio")
-            return
-        except Exception as e:
-            self._error(500, f"conversion error: {e}")
-            return
-
-        # Rebuild multipart with converted WAV, preserve other fields
-        new_fields = {}
-        for name, (fn, fct, data) in fields.items():
-            if name == "file":
-                new_fields[name] = ("recording.wav", "audio/wav", wav_data)
-            else:
-                new_fields[name] = (fn, fct, data)
-
-        new_body, new_ct = build_multipart(new_fields)
-
-        # Forward to parakeet-server
-        try:
-            url = f"http://127.0.0.1:{PARAKEET_PORT}/v1/audio/transcriptions"
-            req = urllib.request.Request(
-                url,
-                data=new_body,
-                headers={"Content-Type": new_ct},
-                method="POST",
-            )
-            with urllib.request.urlopen(req, timeout=300) as resp:
-                resp_body = resp.read()
-                self.send_response(resp.status)
-                self.send_header("Content-Type", resp.headers.get("Content-Type", "application/json"))
-                self.end_headers()
-                self.wfile.write(resp_body)
-        except urllib.error.HTTPError as e:
-            resp_body = e.read()
-            self.send_response(e.code)
-            self.send_header("Content-Type", e.headers.get("Content-Type", "application/json"))
-            self.end_headers()
-            self.wfile.write(resp_body)
-        except Exception as e:
-            self._error(502, f"upstream error: {e}")
-
-    def _error(self, code: int, msg: str):
-        body = f'{{"error":{{"message":"{msg}","type":"proxy_error"}}}}'.encode()
-        self.send_response(code)
-        self.send_header("Content-Type", "application/json")
-        self.end_headers()
-        self.wfile.write(body)
-
-
-if __name__ == "__main__":
-    proc = subprocess.Popen([
-        "parakeet-server",
-        "--host", "127.0.0.1",
-        "--port", str(PARAKEET_PORT),
-        "--model", MODEL,
-        "--cache-dir", CACHE_DIR,
-    ])
-    print(f"[parakeet-proxy] started parakeet-server pid={proc.pid} on :{PARAKEET_PORT}", flush=True)
-
-    server = http.server.HTTPServer(("0.0.0.0", PROXY_PORT), ProxyHandler)
-    print(f"[parakeet-proxy] listening on :{PROXY_PORT}", flush=True)
-    try:
-        server.serve_forever()
-    except KeyboardInterrupt:
-        pass
-    finally:
-        proc.terminate()
-        proc.wait()

apps/llama/deployment.yaml

@@ -18,7 +18,7 @@ spec:
     spec:
       initContainers:
         - name: download-whisper
-          image: gitea.lumpiasty.xyz/lumpiasty/llama-swap:unified-vulkan-parakeet-2026-06-09
+          image: ghcr.io/mostlygeek/llama-swap:unified-vulkan-2026-06-09
           command:
             - sh
             - -c
@@ -48,7 +48,7 @@ spec:
               mountPath: /root/.cache
       containers:
         - name: llama-swap
-          image: gitea.lumpiasty.xyz/lumpiasty/llama-swap:unified-vulkan-parakeet-2026-06-09
+          image: ghcr.io/mostlygeek/llama-swap:unified-vulkan-2026-06-09
           imagePullPolicy: IfNotPresent
           command:
             - llama-swap

apps/llama/kustomization.yaml

@@ -13,4 +13,3 @@ configMapGenerator:
     namespace: llama
     files:
       - config.yaml=configs/config.yaml
-      - parakeet-proxy.py=configs/parakeet-proxy.py

apps/openwebui/release.yaml

@@ -84,7 +84,7 @@ spec:
         value: "Users"
       - name: OAUTH_AUTO_REDIRECT
         value: "true"
-      # STT via parakeet-server (routed through llama-swap)
+      # STT via whisper-server (routed through llama-swap)
       - name: AUDIO_STT_ENGINE
         value: "openai"
       - name: AUDIO_STT_OPENAI_API_BASE_URL
@@ -92,7 +92,9 @@ spec:
       - name: AUDIO_STT_OPENAI_API_KEY
         value: "ignored"
       - name: AUDIO_STT_MODEL
-        value: "parakeet-tdt_ctc-1.1b"
+        value: "whisper-small"
+      - name: AUDIO_STT_SUPPORTED_CONTENT_TYPES
+        value: "audio/wav,audio/wave"
       # TTS via OuteTTS (routed through llama-swap)
       # TTS via dedicated Kokoro server (CPU-only, separate pod)
       - name: AUDIO_TTS_ENGINE