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
2026-10-18 20:26:40 -06:00
1 parent 3a4ed91359
commit 070dec3d29
@@ -0,0 +1,2 @@
+.git
+*.md
@@ -1,11 +1,53 @@
 {
-  "manifestVersion": 2,
-  "id": "io.inference.librechat.custom",
-  "title": "LibreChat (Co‑op custom)",
-  "description": "LibreChat sandbox with Inference‑Co‑op branding and image‑generation support.",
-  "version": "1.3.1",
-  "author": "Inference Co‑op",
-  "healthCheckPath": "/",
-  "httpPort": 3080,
-  "icon": "logo-coop.png"
-}
+    "id": "ai.librechat.cloudronapp",
+    "version": "1.4.1",
+    "title": "LibreChat",
+    "upstreamVersion": "0.8.8",
+    "author": "Danny Avila",
+    "description": "LibreChat is an open-source chatbot client that supports multiple AI providers and models including:\n\n- OpenAI GPT Models\n- Anthropic Claude Models\n- Google PaLM Models\n- Various open-source local models\n\nFeatures:\n- Switch between various AI models\n- Conversation history\n- Plugins support\n- File upload and processing\n- Custom instructions\n- Multiple conversation modes\n\n",
+    "changelog": "* Update uv to 0.13.1\n",
+    "tagline": "ChatGPT-like interface with model switching",
+    "website": "https://github.com/danny-avila/LibreChat",
+    "documentationUrl": "https://docs.cloudron.io/packages/librechat/",
+    "forumUrl": "https://forum.cloudron.io/category/210/librechat",
+    "contactEmail": "support@cloudron.io",
+    "healthCheckPath": "/health",
+    "httpPort": 3080,
+    "addons": {
+        "postgresql": {},
+        "mongodb": {},
+        "localstorage": {},
+        "oidc": {
+            "loginRedirectUri": "/oauth/openid/callback"
+        },
+        "sendmail": {
+            "supportsDisplayName": true
+        }
+    },
+    "checklist": {
+        "register-admin": {
+            "message": "On the first visit, register yourself as an admin user"
+        },
+        "disable-registration": {
+            "message": "Disable registration, if required, to prevent misuse"
+        },
+        "set-api-keys": {
+            "message": "Set API keys in /app/data/env file and restart the app"
+        }
+    },
+    "optionalSso": true,
+    "manifestVersion": 2,
+    "memoryLimit": 1073741824,
+    "minBoxVersion": "8.1.0",
+    "tags": [
+        "ai",
+        "chat",
+        "gpt"
+    ],
+    "mediaLinks": [
+        "https://screenshots.cloudron.io/ai.librechat.cloudronapp/librechat-00.png",
+        "https://screenshots.cloudron.io/ai.librechat.cloudronapp/librechat-01.png"
+    ],
+    "icon": "file://logo.png",
+    "dockerImage": "cloudron/ai.librechat.cloudronapp:202610150224320000"
+}
@@ -1,9 +1,34 @@
+# Inference Co-op LibreChat — brand overlay on the official Cloudron package
+#
+# Build:  cloudron builder build --repository registry.inference.coop/co-op/librechat-custom --tag <yyyymmdd>-<gitsha>
+# Deploy: cloudron update --app <app-id> --image registry.inference.coop/co-op/librechat-custom:<tag>
+#         (run from THIS directory — the CLI reads CloudronManifest.json here)
+#
+# Rules that keep this image safe:
+#   1. The base tag is PINNED to the exact appstore image the app runs
+#      (manifest.dockerImage). Never a floating tag: a rebuild must never
+#      silently pull a newer LibreChat than the one we validated.
+#   2. NEVER edit CloudronManifest.json — the copy in this repo must stay
+#      byte-identical to the OFFICIAL appstore manifest. `cloudron update`
+#      reads it from the deploy directory and applies it to the app; a
+#      hand-edited manifest that omits addons (postgresql, mongodb, oidc,
+#      sendmail, localstorage) strips them from the app and crash-loops it
+#      (mkdir: Read-only file system). That is what broke the sandbox on
+#      2026-10-18 — the manifest, not the overlay, was the bug.
+#   3. This image changes ONLY static brand assets. All behavior lives on the
+#      persistent volume (/app/data/librechat.yaml, /app/data/env,
+#      /app/data/mcp/) and survives image updates unchanged.
 FROM cloudron/ai.librechat.cloudronapp:202610150224320000

-# Overwrite LibreChat config with our custom version (includes icons, models, themes, API keys settings)
-COPY librechat.yaml /app/code/librechat/librechat.yaml
+# Login-page + header logo (the client bundle references assets/logo.svg)
+COPY assets/logo.svg /app/code/librechat/client/dist/assets/logo.svg
+# Browser favicons + PWA icons (referenced by dist/index.html + manifest.webmanifest)
+COPY assets/favicon-32x32.png /app/code/librechat/client/dist/assets/favicon-32x32.png
+COPY assets/favicon-16x16.png /app/code/librechat/client/dist/assets/favicon-16x16.png
+COPY assets/apple-touch-icon-180x180.png /app/code/librechat/client/dist/assets/apple-touch-icon-180x180.png
+COPY assets/icon-192x192.png /app/code/librechat/client/dist/assets/icon-192x192.png
+COPY assets/maskable-icon.png /app/code/librechat/client/dist/assets/maskable-icon.png

-COPY CloudronManifest.json /app/CloudronManifest.json
-RUN mkdir -p /app/data/public/assets
-COPY logo.svg /app/code/librechat/client/dist/assets/logo.svg
-COPY logo.png /app/code/librechat/client/dist/assets/logo-coop.png
+# Browser-tab title (index.html is baked at build; sed no-ops harmlessly if
+# the upstream markup ever changes)
+RUN sed -i 's|<title>LibreChat</title>|<title>Inference Co-op</title>|' /app/code/librechat/client/dist/index.html
@@ -1,34 +1,133 @@
-# LibreChat sandbox maintenance
+# LibreChat sandbox — Inference Co-op customization

-**Current image**
- Docker image: `cloudron/ai.librechat.cloudronapp:202610150224320000`
- Deployed as app **0752e430‑aa36‑436e‑8668‑ef18da474f47** (LibreChat sandbox at `https://librechat-test.inference.coop`).
+Source of truth for the LibreChat evaluation instance at
+**librechat-test.inference.coop** (Cloudron app `4023ccbf-d57a-4500-97df-14de9cf3516e`,
+appstore package `ai.librechat.cloudronapp@1.4.1`, which bundles **LibreChat
+v0.8.8** on image `cloudron/ai.librechat.cloudronapp:202610150224320000`).

-**Automatic updates**
- The "Automatic updates" toggle in the Cloudron UI has been turned **off** (as of 2026‑10‑18). This prevents the sandbox from pulling newer Docker images automatically.
+This repo exists so the sandbox never drifts from what is deployed: the config
+file here is byte-identical to `/app/data/librechat.yaml`, the MCP server here
+is byte-identical to `/app/data/mcp/server.py`, and the Docker image is built
+from this directory.

-**Image‑generation button**
- Added the `regolo/qwen-image` model to `modelSpecs.list` in `librechat.yaml`. This makes LibreChat display a permanent **📷 Image generation** button for users, allowing easy prompt‑based image creation via the gateway.
+## Architecture: what lives where

-**Version‑pinning workflow**
-1. **Create a version tag** when a new LibreChat release is approved (e.g. `cloudron/ai.librechat.cloudronapp:202610250100000000`).
-2. **Push the tagged image** to the co‑op registry (e.g. `registry.inference.coop/librechat:sandbox‑2026‑10‑25`).
-   ```bash
-   docker pull cloudron/ai.librechat.cloudronapp:<new‑tag>
-   docker tag cloudron/ai.librechat.cloudronapp:<new‑tag> registry.inference.coop/librechat:sandbox‑<date>
-   docker login registry.inference.coop   # use registry‑bot credentials
-   docker push registry.inference.coop/librechat:sandbox‑<date>
-   ```
-3. **Redeploy** the sandbox with the pinned tag:
-   ```bash
-   cloudron update --app 0752e430-aa36-436e-8668-ef18da474f47 \
-       --image registry.inference.coop/librechat:sandbox‑<date>
-   ```
-4. **Verify** the app is running (`cloudron status --app <id>`) and that the image field reflects the new tag.
-5. **Record** the change in this document (date, tag, reason) and optionally open a GitHub/Gitea issue linking to the upstream LibreChat release.
+| Layer | Location | Survives image update? | Repo mirror |
+|---|---|---|---|
+| App config | `/app/data/librechat.yaml` (volume) | yes | `librechat.yaml` |
+| Env vars (env-file wins!) | `/app/data/env` (volume, sourced LAST by start.sh) | yes | changed lines documented below |
+| Env vars (Cloudron-managed) | `cloudron env` (process env) | yes | documented below |
+| MCP docs server | `/app/data/mcp/server.py` (volume) | yes | `mcp/server.py` |
+| Brand assets (logo, favicons) | baked into image overlay | no — rebuilt per image | `assets/` |
+| CloudronManifest.json | repo only (used by `cloudron update`) | n/a | byte-identical copy of the OFFICIAL appstore manifest |

-**Rollback**
- To roll back, repeat step 3 with the previous image tag.
+**Precedence gotcha:** `start.sh` does `source /run/librechat/env` AFTER the
+process env, and `/app/data/env` is appended into it — so a value defined in
+`/app/data/env` **overrides** the same `cloudron env` variable. That is why
+`ALLOW_EMAIL_LOGIN=false` must be set in `/app/data/env`, not (only) via
+`cloudron env`.

-**Future maintainers**
- All steps are captured in this doc and in the corresponding issue in `co‑op/support` (Issue #24). The `co‑op/docs` repository should contain this file; keep it up‑to‑date whenever the sandbox image changes or the automatic‑update flag is toggled.
+## Deploy a config change (no image rebuild needed)
+
+```bash
+B64=$(base64 -w0 librechat.yaml)
+cloudron --server my.inference.coop --token "$CLOUDRON_TOKEN" exec \
+  --app 4023ccbf-d57a-4500-97df-14de9cf3516e \
+  -- bash -c "echo '$B64' | base64 -d > /app/data/librechat.yaml"
+cloudron --server my.inference.coop --token "$CLOUDRON_TOKEN" restart \
+  --app 4023ccbf-d57a-4500-97df-14de9cf3516e
+```
+
+Always `diff` the repo file against the live one after deploying. Always
+deploy via base64 — heredocs and `sed` inserts have corrupted this file twice
+(literal `$(...)` / bad indentation → LibreChat silently falls back to
+defaults with only one log line).
+
+Verify after every change:
+
+```bash
+cloudron logs --app <id> --lines 60 | grep -iE 'custom config|error|invalid|MCP'
+curl -s https://librechat-test.inference.coop/api/config   # appTitle, emailLoginEnabled, socialLogins
+```
+
+## Build + deploy the image (brand assets only)
+
+```bash
+cd /tmp/librechat-custom          # THIS dir: cloudron update reads CloudronManifest.json here
+git add -A && git commit -m "..." && git push
+SHA=$(git rev-parse --short HEAD)
+cloudron builder build --repository registry.inference.coop/co-op/librechat-custom \
+  --tag 20261019-$SHA
+cloudron --server my.inference.coop --token "$CLOUDRON_TOKEN" update \
+  --app 4023ccbf-d57a-4500-97df-14de9cf3516e \
+  --image registry.inference.coop/co-op/librechat-custom:20261019-$SHA
+```
+
+Rollback: rerun the `update` with the previous tag (or the appstore image
+`cloudron/ai.librechat.cloudronapp:<original-tag>`).
+
+**NEVER edit `CloudronManifest.json`.** `cloudron update` reads it from this
+directory and applies it to the app. A hand-edited manifest that omits the
+addons (`postgresql`, `mongodb`, `oidc`, `sendmail`, `localstorage`) strips
+them from the running app and crash-loops it (`mkdir: Read-only file system`).
+That is what broke the sandbox on 2026-10-18 — the manifest, not the overlay.
+When the appstore package updates, refresh this file with a new copy pulled
+from the Cloudron API (`GET /api/v1/apps/<id> → .manifest`) and bump the
+`FROM` tag in the Dockerfile to the new `manifest.dockerImage`.
+
+## Env vars (live state)
+
+Set in `/app/data/env` (volume — these WIN over cloudron env):
+
+- `APP_TITLE="Inference Co-op"` (was `"LibreChat"`)
+- `ALLOW_EMAIL_LOGIN=false` (was `true`) — password login removed; Cloudron
+  SSO (OIDC) is the only login path
+- `SCHEDULES_SINGLE_PROCESS=true` — sandbox runs a single replica; silences
+  the scheduler's Redis guard error
+
+Set via `cloudron env set` (process env):
+
+- `TTS_API_KEY` / `STT_API_KEY` — **dedicated LiteLLM virtual key** (alias
+  `librechat-speech`, $5 / 30d budget, restricted to `tinfoil/voxtral-tts` +
+  `tinfoil/whisper-large-v3-turbo`). Regenerate with the gateway master key:
+  `POST /key/generate {"key_alias":"librechat-speech","models":[...],"max_budget":5,"budget_duration":"30d"}`
+  — never put the master key here.
+- `IMAGE_GEN_OAI_BASEURL=https://gateway.inference.coop/v1` and
+  `IMAGE_GEN_OAI_MODEL=regolo/qwen-image` — the agent "OpenAI Image Tools"
+  points at the co-op gateway. No `IMAGE_GEN_OAI_API_KEY`: members enter their
+  own co-op key in the tool UI (per-member billing, same pattern as the chat
+  endpoint's `apiKey: user_provided`).
+- `SEARXNG_INSTANCE_URL=https://search.inference.coop` — referenced from the
+  YAML as `${SEARXNG_INSTANCE_URL}` (self-hosted search; keyless JSON API).
+
+## Feature notes (LibreChat v0.8.8)
+
+- **Chat models**: custom endpoint "Inference Co-op" → gateway, per-member
+  keys, 8 chat modelSpecs (emoji convention shared with models.md).
+  `regolo/qwen-image` is deliberately NOT in the chat picker (image models
+  are not chat models; chat-calling it was the source of the old 500s).
+- **Image generation**: LibreChat exposes image gen through an **Agent with
+  the "OpenAI Image Tools" tool**, not a chat-picker button. Members create
+  an agent, add the tool, and paste their co-op key on first use.
+- **MCP**: `inference-docs` (stdio, `/app/data/mcp/server.py`, tool
+  `search_docs`) is admin-configured; members may add their own via the MCP
+  Settings panel (the "bring your own tools" pattern). Permissions seeded via
+  `interface.mcpServers` (use/create true, share false).
+- **Speech**: TTS `tinfoil/voxtral-tts` (voice `casual_female`), STT
+  `tinfoil/whisper-large-v3-turbo`, both via the gateway with the capped key.
+- **Web search**: SearXNG (self-hosted) + keyless Keenable scraper, no reranker.
+- **Colors**: `interface.theme` in the YAML is **forward-compatible only** —
+  the theme engine ships in LibreChat releases AFTER 0.8.8 (merged to dev,
+  not tagged). The block is silently ignored today and activates by itself
+  when the appstore package bundles a newer LibreChat. No other runtime
+  theming exists in 0.8.8.
+
+## Known state / limitations
+
+- `patches/`, `logo.png`, `logo-coop.png`, `logo.svg` (repo root) are legacy
+  leftovers from the abandoned 2026-10-18 hand-built-image attempt — unused,
+  pending cleanup.
+- The `[schedules]` Redis guard error is resolved by
+  `SCHEDULES_SINGLE_PROCESS=true` (above).
+- The `RAG API not reachable` warning is expected (no rag_api addon); it only
+  affects LibreChat's own file-RAG, which we do not use.
@@ -0,0 +1,3 @@
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512">
+  <image href="data:image/png;base64,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 truncated
+</svg>
@@ -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,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 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,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
      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,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
      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
@@ -0,0 +1,256 @@
+#!/usr/bin/env python3
+"""Inference Cooperative docs MCP server (stdio, stdlib-only).
+
+Exposes a `search_docs` tool over the co-op documentation (co-op/docs on
+git.inference.coop). Members opt in per conversation via the tools palette.
+
+Design notes:
+- stdio transport: newline-delimited JSON-RPC 2.0 on stdin/stdout (the MCP
+  stdio protocol). All logging goes to stderr — stdout is protocol-only.
+- No third-party dependencies: the corpus is fetched from the public Gitea
+  raw API, chunked by heading, and ranked with a compact BM25.
+- The index refreshes lazily if older than DOCS_TTL seconds (default 30 min).
+"""
+
+import json
+import math
+import re
+import sys
+import time
+import urllib.request
+from concurrent.futures import ThreadPoolExecutor
+
+DOCS_REPO = "co-op/docs"
+GITEA_API = "https://git.inference.coop/api/v1"
+DOCS_TTL = 30 * 60
+MAX_CHUNKS_RETURNED = 5
+
+SERVER_NAME = "inference-cooperative-docs"
+SERVER_VERSION = "1.0.0"
+
+_index = {"chunks": [], "built_at": 0.0}
+_lock_held = False
+
+TOKEN_RE = re.compile(r"[a-z0-9]+")
+
+
+def log(msg):
+    sys.stderr.write(f"[inference-docs-mcp] {msg}\n")
+    sys.stderr.flush()
+
+
+def fetch_json(url):
+    with urllib.request.urlopen(url, timeout=30) as r:
+        return json.loads(r.read().decode("utf-8"))
+
+
+def fetch_text(url):
+    with urllib.request.urlopen(url, timeout=30) as r:
+        return r.read().decode("utf-8")
+
+
+def list_doc_files():
+    files = fetch_json(f"{GITEA_API}/repos/{DOCS_REPO}/contents")
+    return [
+        {"path": f["path"], "name": f["name"]}
+        for f in files
+        if f["type"] == "file" and f["name"].endswith(".md")
+    ]
+
+
+def chunk_markdown(path, text):
+    """Split a doc into section chunks keyed by its top title + heading."""
+    lines = text.splitlines()
+    title = lines[0].lstrip("# ").strip() if lines and lines[0].startswith("#") else path
+    sections = []
+    current_head = "Overview"
+    current = []
+
+    def flush():
+        body = "\n".join(current).strip()
+        if len(body) < 40:
+            return
+        sections.append({"doc": title, "path": path, "section": current_head, "text": body})
+
+    for line in lines:
+        if line.startswith("## "):
+            flush()
+            current_head = line.lstrip("# ").strip()
+            current = []
+        else:
+            current.append(line)
+    flush()
+    return sections
+
+
+def tokenize(text):
+    return TOKEN_RE.findall(text.lower())
+
+
+def build_index():
+    chunks = []
+    docs = list_doc_files()
+
+    def load(doc):
+        try:
+            raw = fetch_text(f"{GITEA_API}/repos/{DOCS_REPO}/raw/{doc['path']}")
+            return chunk_markdown(doc["path"], raw)
+        except Exception as exc:  # noqa: BLE001 - one bad doc shouldn't kill the index
+            log(f"skipping {doc['path']}: {exc}")
+            return []
+
+    with ThreadPoolExecutor(max_workers=6) as pool:
+        for parts in pool.map(load, docs):
+            chunks.extend(parts)
+
+    # BM25 statistics
+    doc_terms = [tokenize(c["text"]) for c in chunks]
+    n = len(chunks)
+    avg_len = sum(len(t) for t in doc_terms) / max(n, 1)
+    df = {}
+    for terms in doc_terms:
+        for term in set(terms):
+            df[term] = df.get(term, 0) + 1
+    for c, terms in zip(chunks, doc_terms):
+        c["_tf"] = {}
+        for t in terms:
+            c["_tf"][t] = c["_tf"].get(t, 0) + 1
+        c["_len"] = len(terms)
+    _index["chunks"] = chunks
+    _index["df"] = df
+    _index["n"] = n
+    _index["avg_len"] = avg_len
+    _index["built_at"] = time.time()
+    log(f"index built: {n} chunks from {len(docs)} docs")
+
+
+def ensure_index():
+    if not _index["chunks"] or time.time() - _index["built_at"] > DOCS_TTL:
+        build_index()
+
+
+def search(query, limit=MAX_CHUNKS_RETURNED):
+    ensure_index()
+    k1, b = 1.5, 0.75
+    q_terms = tokenize(query)
+    scored = []
+    for c in _index["chunks"]:
+        score = 0.0
+        for t in q_terms:
+            tf = c["_tf"].get(t, 0)
+            if not tf:
+                continue
+            idf = math.log(1 + (_index["n"] - _index["df"].get(t, 0) + 0.5) / (_index["df"].get(t, 0) + 0.5))
+            score += idf * tf * (k1 + 1) / (tf + k1 * (1 - b + b * c["_len"] / _index["avg_len"]))
+        if score > 0:
+            scored.append((score, c))
+    scored.sort(key=lambda pair: -pair[0])
+    return scored[:limit]
+
+
+def tool_search_docs(args):
+    query = str(args.get("query") or "").strip()
+    if not query:
+        return {"content": [{"type": "text", "text": "Provide a query."}]}
+    limit = min(int(args.get("limit") or MAX_CHUNKS_RETURNED), 10)
+    results = search(query, limit)
+    if not results:
+        return {"content": [{"type": "text", "text": "No matching documentation found."}]}
+    parts = []
+    for score, c in results:
+        parts.append(f"[{c['doc']} — {c['section']}] (relevance {score:.2f})\n{c['text']}")
+    return {"content": [{"type": "text", "text": "\n\n---\n\n".join(parts)}]}
+
+
+TOOLS = [
+    {
+        "name": "search_docs",
+        "description": (
+            "Search the Inference Cooperative documentation (getting started, models, "
+            "API access, charter, policies). Returns the most relevant doc sections."
+        ),
+        "inputSchema": {
+            "type": "object",
+            "properties": {
+                "query": {"type": "string", "description": "What to look for in the docs"},
+                "limit": {"type": "integer", "description": "Max sections to return (default 5)"},
+            },
+            "required": ["query"],
+        },
+    }
+]
+
+TOOLS_HANDLERS = {"search_docs": tool_search_docs}
+
+
+def handle(msg):
+    method = msg.get("method")
+    msg_id = msg.get("id")
+
+    if method == "initialize":
+        return {
+            "jsonrpc": "2.0",
+            "id": msg_id,
+            "result": {
+                "protocolVersion": "2024-11-05",
+                "capabilities": {"tools": {}},
+                "serverInfo": {"name": SERVER_NAME, "version": SERVER_VERSION},
+            },
+        }
+    if method == "ping":
+        return {"jsonrpc": "2.0", "id": msg_id, "result": {}}
+    if method == "tools/list":
+        return {"jsonrpc": "2.0", "id": msg_id, "result": {"tools": TOOLS}}
+    if method == "tools/call":
+        params = msg.get("params") or {}
+        name = params.get("name")
+        handler = TOOLS_HANDLERS.get(name)
+        if not handler:
+            return {
+                "jsonrpc": "2.0",
+                "id": msg_id,
+                "error": {"code": -32602, "message": f"Unknown tool: {name}"},
+            }
+        try:
+            result = handler(params.get("arguments") or {})
+            return {"jsonrpc": "2.0", "id": msg_id, "result": result}
+        except Exception as exc:  # noqa: BLE001 - report tool errors in-band
+            log(f"tool error: {exc}")
+            return {
+                "jsonrpc": "2.0",
+                "id": msg_id,
+                "result": {"content": [{"type": "text", "text": f"Search failed: {exc}"}], "isError": True},
+            }
+    if method and method.startswith("notifications/"):
+        return None
+    if msg_id is not None:
+        return {"jsonrpc": "2.0", "id": msg_id, "error": {"code": -32601, "message": "Method not found"}}
+    return None
+
+
+def main():
+    log("starting (stdio)")
+    for line in sys.stdin:
+        line = line.strip()
+        if not line:
+            continue
+        try:
+            msg = json.loads(line)
+        except json.JSONDecodeError as exc:
+            log(f"bad json: {exc}")
+            continue
+        try:
+            resp = handle(msg)
+        except Exception as exc:  # noqa: BLE001 - never crash the protocol loop
+            log(f"handler crash: {exc}")
+            if msg.get("id") is not None:
+                resp = {"jsonrpc": "2.0", "id": msg["id"], "error": {"code": -32603, "message": "Internal error"}}
+            else:
+                resp = None
+        if resp is not None:
+            sys.stdout.write(json.dumps(resp) + "\n")
+            sys.stdout.flush()
+
+
+if __name__ == "__main__":
+    main()