Sustainable LibreChat setup: official manifest, config layer, brand overlay

- CloudronManifest.json: byte-identical copy of the OFFICIAL appstore manifest
  (the hand-edited one stripped addons and crash-looped the app on 2026-10-18)
- Dockerfile: pinned base (202610150224320000), brand assets only + title sed
- librechat.yaml: schema 1.3.17; chat models only in picker (qwen-image moved
  to the agent image tool); speech via gateway with capped key refs; SearXNG
  web search; inference-docs MCP server; forward-compatible interface.theme
- mcp/server.py: docs MCP server (stdio, stdlib-only, tool search_docs)
- assets/: co-op logo + favicons/PWA icons

librechat.yaml

@@ -1,28 +1,12 @@
-version: 1.3.1
+version: 1.3.17
 
-# Voice: server-side STT/TTS via the co-op gateway (Tinfoil TEE).
-# Server STT works in every browser (Firefox has no Web Speech API).
-speech:
-  stt:
-    openai:
-      url: "https://gateway.inference.coop/v1/audio/transcriptions"
-      apiKey: "${GATEWAY_KEY}"
-      model: "tinfoil/whisper-large-v3-turbo"
-  tts:
-    openai:
-      url: "https://gateway.inference.coop/v1/audio/speech"
-      apiKey: "${GATEWAY_KEY}"
-      model: "tinfoil/voxtral-tts"
-      voices: ["neutral_female", "neutral_male", "casual_female", "casual_male", "cheerful_female"]
-cache: true
-
-# Inference Co-op gateway — PER-USER keys (production pattern): no server-side
-# apiKey here, so each user pastes their own dashboard key once. Usage then
-# bills to that member's own LiteLLM team/budget, exactly like the API path.
+# Inference Co-op gateway — PER-USER keys: each member pastes their own
+# dashboard key once (apiKey: user_provided). Usage bills to that member's
+# own LiteLLM team/budget.
 endpoints:
   custom:
     - name: "Inference Co-op"
-      iconURL: "/assets/logo-coop.png"
+      iconURL: "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAgAAAAIACAYAAAD0eNT6AAAaK0lEQVR4nO3dPXJTWbQG0EsX1dVVPSmG4CkQkJE4cULihISEhIyAKXgITIoqioQX9LvvycKSrnTPzz5nrxV2G2lLZev7zr6y/Gqhml8/f/zuPQPAyP7+599XvWeYlSd2JyEP0IdysI8n7wrCHiA2pWA7T9QZAh9gbArBaZ6YAwIfYG4Kwf9L/0QIfYCcspeBtA9e8AOwLHmLQKoHLfQBOCdTGUjxQAU/ANfIUASmfoCCH4A9Zi4CUz4wwQ9ASTMWgakekOAHoKaZisAUD0TwA9DSDEVg6Acg+AHoaeQi8FfvAW4l/AHobeQsGq65jPxkAzCv0bYBQ20AhD8AUY2WUUO0ldGeVAByG2EbEH4DIPwBGM0I2RW6AIzwBALAS6JnWMgVRfQnDQCuEfGSQLgNgPAHYDYRsy1UAYj4BAFACdEyLkwBiPbEAEBpkbKu+zWJSE8GALTS+30BXTcAwh+ArHpnYLcC0PuBA0BvPbOwSwEQ/gDwn16Z2LwACH8AeK5HNjYtAMIfAF7WOiObFQDhDwDntczKJgVA+APANq0ys3oBEP4AcJ0W2RnmkwABgHaqFgCnfwC4Te0MrfYxhMIf4nn75d3Z///t/ddGkwBb1frI4Co3Kvwhjkuhf4oyAHHUKAHFb1D4Q3+3hv4pygD0V7oEeBMgTKZ0+Ne6TaCvogXA6R/6qhnUSgD0VTpji60ThD/00zqcXRKAfkpdCiiyARD+0E+Pk7ltAPRTKnO9BwAAEtpdAJz+oZ+eJ3FbAOinRPbuKgDCH/qJEMARZoCs9mawSwAwoEjBG2kWYLubC4DTPwD0tSeLbyoAwh8AYrg1k10CgMFEXLlHnAk47+oC4PQPALHcks02AACQ0FUFwOkf+oq8ao88G2RwbUbbAABAQpsLgNM/AMR2TVbbAABAQpsKgNM/AIxha2bbAABAQhcLgNM/AIxlS3bbAABAQmcLgNM/xPLt/dfeI5wUeTbI6FKG2wAAQEIKAAAkdLIAWP9DTBFX7RFnAs5nuQ0AACT0YgFw+geAOZzKdBsAGFCklXukWYDtFAAYVITgjTADcJs/CoD1P4yjZwALfxjHS9luAwAACSkAMLgeJ3Gnfxjfq+P/4BIAjOvtl3dVb1/ww7j+/uffZ5n/bAMg/GFsNQNa+MPYjjPeJQCYTI2gFv4wn2frABsAmM+tlwWEPszn8DKAAgCJXCoDQh/m9mIBEP4AML+1BHgPAAAkpAAAQEIKAAAkpAAAQEJ/LYs3AAJAFmvm2wAAQEIKAAAkpAAAQEIKAAAkpAAAQEIKAAAk9MqvAAJAPjYAAJCQAgAACSkAAJCQAgAACSkAAJCQAgAACb3uPQBk9vj94+WvefOhwSRANj4HABraEvgXb0MhAApQAKCBEsH/x20qAsAOCgBUVCP4/7gPRQC4gQIAFbQI/j/uUxEAruC3AKCwHuHf836BMSkAUFDvEO59/8A4FAAoJEr4RpkDiM17AKCAiKE7wnsC7p8eTv6/z3efGk4C+SgAsFPE8F9FLAHnQv8UZQDKUwBgh8jhv4pSAm4J/mOKAJTjo4CBqkoE//FtKQKwnzcBwo1GOP0vS985S4Z/i9uFTBQAoIraIa0EwD4KANxglNP/qvW8rcJZCYDbKQAAkJACAFca7fS/ajV361O5LQDcRgEAiukVxkoAXE8BAICEFAC4wqjr/9Xo8wPlKABAEb3X8L3vH0ajAABAQgoAACSkAABAQgoAACSkAABAQgoAACSkAABAQgoAUMTnu0+p7x9GowDAFR7ffOg9wi6jzw+UowAAQEIKAFBMrzW89T9cTwGAK426Rm81d+swFv5wGwUAABJSAOAGo20BWs/b6lTu9A+3UwCAKmqHs/CHfRQAuNEoW4Cec9YKaeEP+73uPQAwtzWs758eit0WsN+rXz9//O49BIzs8fvH3iOcFHFLcUsREPxQngIABUQsARHD/9i5MiD0oS4FAAqJVAJGCH+gL28ChEKihG6UOYDYFAAoqHf49r5/YBwKABTWK4SFP3AN7wGAilq8L0DwA7dQAKCBGkVA8AN7KADQUIkiIPiBEhQA6GhLIRD4QA0KAAAk5LcAACAhBQAAElIAACAhBQAAElIAACAhBQAAElIAACAhBQAAElIAACAhBQAAElIAACAhBQAAEnrdewCI6O2Xd5u+7tv7r5UnAajDXwOEZXvgX6IQAKNQAEitVPAfUwSA6BQAUqoV/McUASAqbwIknVbh3/q+AK5hA0AavcPYNgCIRAEghd7hv+pdAh6/fzz//998aDQJ0JsCwPSihP+qdQm4FPon/50yAFNTAJhatPBf1S4Bt4b+ydtTBmA63gTItKKG/7LUna10+Ne6TaAvGwCmFDn8D5XeBNQO6pE3AfdPD2f//+e7T40mgRh8FDBMoNUJfb2fUYrApdA/9bXKABm4BMB0Rjn9L0uZWXus50e4JHBN+Jf8tzAKGwCmMlL4r95+edf91wNnUiq819uxDWBWNgAwsJ4n8YhbgBond9sAZqUAMI0RT/+rW2aPEMARZljVDGolgBkpADCgSMEbYZYWAa0EMBsFgCmMfPpfzfAYgHEoAMDQWp7MbQGYiQIAg4mwcj/Wa6YegawEMAsFAAASUgAY3kzXzmd6LEBsCgAMJOL6f9V6tp6reJcBmIECAAAJKQAAkJACAAAJKQAAkJACAAAJKQAAkJACAAAJKQAwkMc3H3qPcFLr2T7ffWp6f1HuG0pRABjet/dfe49QzEyPBYhNAQCAhBQAGEzEywC9Zuqxirf+ZxYKADC0loEs/JmJAsAUZrh2PsNjAMahAMCAIl0GiDBLi5O50z+zUQCYxsgn6FtmjxC8EWZY1Qxo4c+MFAAYWM8AjhT+qxpBLfyZ1eveA0BJ395/Xd5+edd7jKuMvLmIaA3s+6eHIrcDs7IBYDojBWqJWXucxCOe/o/tCXDhTwY2ADCBNZAfv39scj+jOAzySxsBoU82r379/PG79xBQQ/RLAbU2FbVKwGjhD5znEgDTinwpoOZsNYJa+MN8bACYXrRNQOticutGQOjD3BQAUohSAnpvJS6VAaEPeSgApNG7BPQOf4BDCgDptC4Cgh+IyJsASadlIAt/ICobAFKrtQ0Q/EB0CgAs5YqA4AdGoQDAC7YWAoEPjEoBAICEvAkQABJSAAAgIQUAABJSAAAgIQUAABJSAAAgIQUAABJSAAAgode9B4Bz7p8eNn3d57tPlScBmItPAiSUrYF/iUIAcJ4CQAilgv+YIgDwMgWArmoF/zFFAOA5BYAuWgX/MUUA4D9+C4DmeoV/7/sGiMQGgGaihe9o24C3X95t+rpv779WngSYgQJAE9HCfxW9BGwN/VOUAeAUBYDqoob/KmIJ2Bv8xxQB4JgCQFXRw38VpQSUDv5jigCwUgCoZpTwX/UuAbXDfzVKCXj8/vHy17z50GASmJOPAoYAWoX/el9RS8CW0D/19coAXMcGgCpGO/2vemwBWob/oUgl4NrgP3tbigBs4nMAKG7U8F+W9rP3Cv/e932oZPjXuD2YlUsA0EmEAO55OaBmUK+3HXEbcK5k9n4fCrm4BEBRI5/+D9V+IY4Q/odal4CWp/QIJeCWnwtlgNpcAoDGooX/srSdqfWKvuclgfunh5tL8Z5/C1soABQz04vVTI+FPkp9D/lepBYFABqKePpftZit12m89f2WDm0lgBoUAIqY8QVqxsfUU+9357e6/1rfN74fKU0BgEYin/5XI8wYWe2QVgIoSQEAqut9+l9FmQMiUAAACmh1OrcFoBQFgN1mfkEq9dhGWq2PNCtwOwUAqCra2r3GPK1L8Mylm3YUAABISAEAgIQUAABISAEAgIQUAABISAEAgIQUAABISAEAqnp886H3CM/UmOfz3afitxnp/piTAsBuM78YlXps395/LXI7LYw0K3A7BQCggFZFeObCTVsKAFBdlMsAUeaACBQAaGSE1foIM0ZW+3Tu9E9JCgBFzPjCNONj6qn36bvV/df6vvH9SGkKADQU+YTdYrZeJaD1/ZYOa+FPDQoAxcz0IjXTY6GPUt9DvhepRQGAxiJuAVrO1Po03vPSw+e7TzcH+J5/C1u8+vXzx+/eQzCX+6eH3iPs0upF9+2Xd03u55JeheTx+8f69xHwXf/nfj4EPi0pABSnAGzXuwRE2EbUKAIRgx+icQmA4kY+xbSevWcARwj/ZSkf1sIftrEBoJrRNgE9i0vrTUCU8D+2Zxsg+OE6r3sPAPwXyK1KQNTwX5bnIb6lDAh9uJ0NAFWNsgWIctmidgmIHP5AWwoA1UUvAVHC/1DpIiD4gWMKAE1ELQERw//Q3iIg+IFTFACaiVYCoof/sa1lQOgDWygANNe7CIwW/AA1+BwAmusZwMIf4D82AHTVahsg+AGeUwAIoVYREPwAL1MACKVUERD8AOcpAIS2tRAIfIDrKAAAkJDfAgCAhBQAAEhIAQCAhBQAAEjode8BGIfPogeYh98C4KRSf5JWIQCIRwHgmdJ/h/6YMgAQgwLAsiz1g/+YIgDQlwKQXOvgP6YIAPThtwAS6x3+UWYAyMgGIKlowTvqJuDx+8dtX/fmQ+VJAK6jACQTLfiPjVAEtob+yX+vDAABKACJRA//VcQSsDf0T96uMgB04j0ASYwS/ssSb9Za4V/7tgHOsQFIIFqgbtV7E9A6nEfcBtw/PZz9/5/vPjWaBLiWjwKGF/Q4mT9+/zhECbgU+qe+VhmAWGwAJjfq6X/VYwvQey0fsQRcE/pbKAPQn/cATGz08F+W9o+hd/hHmeFQ6fCvdZvAdWwAJjVD+B9qsQmIFrwRNgG1gzryJuDSz1Dv96jAXgrApBSA60QL/1WvEtD6hB6lCNz6c6MMMCIFYEKzhf+q1ots1PBftS4BvdbzvUvA3p+bEUrApe/1CLine truncated
       apiKey: "user_provided"
       baseURL: "https://gateway.inference.coop/v1"
       models:
@@ -40,95 +24,72 @@ endpoints:
       titleModel: "greenpt/glm-5.3-flash"
       titleMethod: "completion"
 
-# Web search via the co-op's self-hosted SearXNG (public URL, JSON enabled for OWUI already).
-# scraperProvider keenable = keyless page-fetch, so members get one-click search
-# with no Firecrawl prompt. (Production note: keenable is an external keyless
-# service — if that offends self-host values, swap in a self-hosted Firecrawl.)
-webSearch:
-  searchProvider: "searxng"
-  scraperProvider: "keenable"
-  searxngInstanceUrl: "${SEARXNG_INSTANCE_URL}"
-  searxngSearchOptions:
-    engines: "google,bing,duckduckgo"
-    language: "en"
-    timeout: 15000
-
-# MCP: the co-op docs, opt-in per conversation (stdlib stdio server in /app/data).
-mcpServers:
-  inference-docs:
-    type: stdio
-    command: python3
-    args:
-      - /app/data/inference-docs-mcp/server.py
-
-# Emoji-ified model picker (same feature-tier convention as models.md / OWUI):
-# 🌱 = renewable-powered (GreenPT + Regolo), 🔒 = TEE-architected private (Tinfoil).
-# Utility models (audio STT/TTS, image generation) are excluded from chat.
+# Emoji-ified model picker (same convention as models.md / OWUI):
+# 🌱 = renewable (GreenPT + Regolo), 🔒 = TEE-private (Tinfoil).
 modelSpecs:
   enforce: true
   prioritize: true
   list:
     - name: tinfoil-deepseek-v4-1-flash
-      iconURL: "/assets/logo-coop.png"
+      iconURL: "data:image/png;base64,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 truncated
       label: "🔒 tinfoil/deepseek-v4-1-flash"
       softDefault: true
       preset:
         endpoint: "Inference Co-op"
         model: "tinfoil/deepseek-v4-1-flash"
     - name: tinfoil-gpt-oss-120b
-      iconURL: "/assets/logo-coop.png"
+      iconURL: "data:image/png;base64,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 truncated
       label: "🔒 tinfoil/gpt-oss-120b"
       preset:
         endpoint: "Inference Co-op"
         model: "tinfoil/gpt-oss-120b"
     - name: tinfoil-glm-5-3
-      iconURL: "/assets/logo-coop.png"
+      iconURL: "data:image/png;base64,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 truncated
       label: "🔒 tinfoil/glm-5.3"
       preset:
         endpoint: "Inference Co-op"
         model: "tinfoil/glm-5.3"
     - name: greenpt-deepseek-v4-1-flash
-      iconURL: "/assets/logo-coop.png"
+      iconURL: "data:image/png;base64,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 truncated
       label: "🌱 greenpt/deepseek-v4.1-flash"
       preset:
         endpoint: "Inference Co-op"
         model: "greenpt/deepseek-v4.1-flash"
     - name: greenpt-glm-5-3-flash
-      iconURL: "/assets/logo-coop.png"
+      iconURL: "data:image/png;base64,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 truncated
       label: "🌱 greenpt/glm-5.3-flash"
       preset:
         endpoint: "Inference Co-op"
         model: "greenpt/glm-5.3-flash"
     - name: greenpt-glm-5-3
-      iconURL: "/assets/logo-coop.png"
+      iconURL: "data:image/png;base64,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 truncated
       label: "🌱 greenpt/glm-5.3"
       preset:
         endpoint: "Inference Co-op"
         model: "greenpt/glm-5.3"
     - name: regolo-apertus-70b
-      iconURL: "/assets/logo-coop.png"
+      iconURL: "data:image/png;base64,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 truncated
       label: "🌱 regolo/apertus-70b"
       preset:
         endpoint: "Inference Co-op"
         model: "regolo/apertus-70b"
     - name: regolo-qwen3-5-122b
-      iconURL: "/assets/logo-coop.png"
+      iconURL: "data:image/png;base64,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 truncated
       label: "🌱 regolo/qwen3.5-122b"
       preset:
         endpoint: "Inference Co-op"
         model: "regolo/qwen3.5-122b"
-    - name: regolo-qwen-image
-      iconURL: "/assets/logo-coop.png"
-      label: "🖼️ regolo/qwen-image"
-      preset:
-        endpoint: "Inference Co-op"
-        model: "regolo/qwen-image"
-
-
-
 # Inference Cooperative branding
+
 interface:
   customWelcome: "Welcome to your co-op AI."
+  # Feature permissions (seeded for the USER role at startup;
+  # ongoing edits belong in the LibreChat Admin Panel)
+  webSearch: true
+  mcpServers:
+    use: true      # members can use admin-configured MCP servers
+    create: true   # members can add their own (bring-your-own-tools)
+    share: false
   theme:
     version: 1
     name: inference
@@ -163,3 +124,47 @@ interface:
           rgb-text-primary: '236 233 226'
           rgb-text-secondary: '168 173 158'
           rgb-border-light: '74 82 64'
+
+
+# Speech (STT/TTS) via the co-op gateway. Uses a dedicated LiteLLM virtual key
+# (alias: librechat-speech, $5/30d budget, restricted to the audio models) so
+# speech never runs on the gateway master key. The gateway is a public
+# endpoint, so no SSRF allowedAddresses exemption is needed.
+speech:
+  tts:
+    openai:
+      url: "https://gateway.inference.coop/v1"
+      apiKey: "${TTS_API_KEY}"
+      model: "tinfoil/voxtral-tts"
+      voices: ["casual_female"]
+  stt:
+    openai:
+      url: "https://gateway.inference.coop/v1"
+      apiKey: "${STT_API_KEY}"
+      model: "tinfoil/whisper-large-v3-turbo"
+  speechTab:
+    conversationMode: false
+    advancedMode: false
+    speechToText: true
+    textToSpeech: true
+
+# Web search: self-hosted SearXNG (search.inference.coop, keyless JSON API)
+# for search, keyless Keenable for page scraping, no reranker. The instance
+# URL is an env-var reference (real values never live in the YAML).
+webSearch:
+  searchProvider: "searxng"
+  searxngInstanceUrl: "${SEARXNG_INSTANCE_URL}"
+  searxngSearchOptions:
+    engines: "google,bing,startpage"
+    language: "en"
+  scraperProvider: "keenable"
+  rerankerType: "none"
+
+# MCP servers (admin-configured). The docs server is the same stdlib-only
+# Python server Open WebUI uses; it lives on the persistent volume at
+# /app/data/mcp/server.py so it survives image updates.
+mcpServers:
+  inference-docs:
+    command: /app/code/venv/bin/python3
+    args: ["/app/data/mcp/server.py"]
+    timeout: 60000