chore: org rename fai-modules/fai-plugins -> chain-modules/chain-plugins + LICENSE holder

Signed-off-by: flemming-it <sf@flemming.it>

.forgejo/workflows/ci.yml

@@ -30,7 +30,7 @@ jobs:
           git fetch --depth=1 origin "$GITHUB_SHA"
           git checkout -q FETCH_HEAD
 
-      # The fai-module-sdk dependency is a git dep against a repo
+      # The chain-module-sdk dependency is a git dep against a repo
       # that lives in another Forgejo org. The repo-scoped
       # GITHUB_TOKEN cannot read it, and the Forgejo instance has
       # REQUIRE_SIGNIN_VIEW=true so anonymous read is also denied.

.forgejo/workflows/sign.yml

@@ -0,0 +1,223 @@
+# F∆I module bundle signing workflow (cosign key-pinning model).
+#
+# Drop-in template for any module repo under chain-modules/.
+# Triggers on tag push (vX.Y.Z) — builds the module, packs the
+# .fai bundle, signs the bundle bytes with the Flemming.AI
+# signing key (ECDSA P-256), and attaches bundle + .sig sidecar
+# to the matching Forgejo Release.
+#
+# The hub-side verifier ships in 0.12.0+: when an operator sets
+# `require_signatures: true`, install downloads the .sig sidecar
+# from `<wasm_url>.sig` and verifies it against the pinned store
+# public key (built-in for `bundled` / `official`, per-store
+# config for everything else).
+#
+# Adopt by copying this file to `.forgejo/workflows/sign.yml` in
+# the module repo and replacing the MODULE_NAME placeholder.
+# Add the signing key to Forgejo secrets as FAI_SIGNING_KEY (PEM,
+# unencrypted, ECDSA P-256). Rotation is a 5-minute key-roll +
+# binary re-release; see infra/cosign/README.md.
+
+name: sign-bundle
+
+on:
+  push:
+    tags:
+      - 'v*.*.*'
+
+env:
+  CARGO_TERM_COLOR: always
+  RUST_TOOLCHAIN: "1.86"
+  CARGO_NET_GIT_FETCH_WITH_CLI: "true"
+
+jobs:
+  sign:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write    # attach signature to release
+
+    env:
+      # The canonical module name as written in module.yaml.
+      # Used in the bundle filename + wasm path.
+      MODULE_NAME: llm-chat
+
+    steps:
+      # See fai/platform CI for background on the manual external
+      # checkout: the DinD runner cannot resolve forgejo:3000, so
+      # we clone via the external URL with $GITHUB_TOKEN.
+      - name: Checkout via external URL
+        run: |
+          set -eu
+          mkdir -p "$GITHUB_WORKSPACE"
+          cd "$GITHUB_WORKSPACE"
+          git init -q
+          git remote add origin \
+            "https://x-access-token:${GITHUB_TOKEN}@git.flemming.ai/${GITHUB_REPOSITORY}.git"
+          git fetch --depth=1 origin "$GITHUB_SHA"
+          git checkout -q FETCH_HEAD
+
+      # The chain-module-sdk dependency lives in another Forgejo org
+      # behind REQUIRE_SIGNIN_VIEW. MODULE_SDK_PAT (org-level
+      # secret, read-only on fai/module-sdk) authenticates cargo's
+      # git fetch via insteadOf.
+      - name: Configure git URL rewrite for SDK fetch
+        env:
+          SDK_PAT: ${{ secrets.MODULE_SDK_PAT }}
+        run: |
+          git config --global \
+            "url.https://x-access-token:${SDK_PAT}@git.flemming.ai/.insteadOf" \
+            "https://git.flemming.ai/"
+
+      - name: Install system dependencies
+        run: |
+          apt-get update -qq
+          apt-get install -y --no-install-recommends \
+            curl \
+            ca-certificates \
+            build-essential \
+            pkg-config \
+            libssl-dev \
+            git \
+            jq \
+            openssl
+
+      - name: Install Rust toolchain
+        run: |
+          curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs \
+            | sh -s -- -y \
+              --profile minimal \
+              --default-toolchain "$RUST_TOOLCHAIN" \
+              --target wasm32-wasip2
+          echo "$HOME/.cargo/bin" >> "$GITHUB_PATH"
+
+      - name: Build module (wasm32-wasip2)
+        run: cargo build --release --target wasm32-wasip2
+
+      - name: Install fai CLI
+        # Pinned to the production channel; signing requires the
+        # `fai pack` command. Override FAI_VERSION when bundle
+        # format compatibility matters.
+        run: |
+          curl -fsSL https://get.chain.flemming.ai | sh -s -- --no-bootstrap
+          # The installer drops fai at $HOME/.local/bin
+          echo "$HOME/.local/bin" >> "$GITHUB_PATH"
+          export PATH="$HOME/.local/bin:$PATH"
+          fai --version
+
+      - name: Stage bundle inputs
+        # The wasm artefact is named after the Cargo package
+        # (underscored), which may differ from the module name
+        # in module.yaml (dashed). Resolve it from Cargo.toml so
+        # the template stays agnostic to the project's naming
+        # convention.
+        run: |
+          set -eu
+          CARGO_NAME=$(grep -E '^name *= *"' Cargo.toml \
+            | head -1 | sed 's/.*"\(.*\)".*/\1/')
+          mkdir -p staging
+          cp module.yaml staging/
+          cp "target/wasm32-wasip2/release/${CARGO_NAME}.wasm" staging/module.wasm
+          if [ -f sbom.cdx.json ]; then cp sbom.cdx.json staging/; fi
+          if [ -f MODULE.md ]; then cp MODULE.md staging/; fi
+          if [ -f MODULE.de.md ]; then cp MODULE.de.md staging/; fi
+
+      - name: Pack bundle
+        id: pack
+        run: |
+          export PATH="$HOME/.local/bin:$PATH"
+          BUNDLE="${{ env.MODULE_NAME }}-${{ github.ref_name }}.fai"
+          fai pack staging --output "$BUNDLE"
+          echo "bundle=$BUNDLE" >> "$GITHUB_OUTPUT"
+          ls -la "$BUNDLE"
+
+      - name: Sign bundle (Flemming.AI signing key)
+        env:
+          FAI_SIGNING_KEY_PEM: ${{ secrets.FAI_SIGNING_KEY }}
+        run: |
+          if [ -z "${FAI_SIGNING_KEY_PEM:-}" ]; then
+            cat >&2 <<'EOF'
+
+          FAI_SIGNING_KEY secret is empty or undefined.
+
+          This workflow signs module bundles with the Flemming.AI
+          module-signing key (ECDSA P-256, PKCS#8 PEM, unencrypted).
+          The matching public key is pinned in the fai-hub binary at
+          infra/cosign/official.pub — hubs that require_signatures
+          will reject anything not signed with this key.
+
+          To configure:
+            1. Forgejo -> chain-modules org -> Settings -> Secrets
+            2. Add secret FAI_SIGNING_KEY (org-level recommended)
+            3. Paste the unencrypted PEM (BEGIN PRIVATE KEY ...)
+          The encrypted source-of-truth lives on Stefan's Mac at
+          ~/.fai-secrets/flemming-ai-signing.key (passphrase in
+          mSecure under "Ch∆In — Module Signing Key (Private)").
+
+          See fai/platform infra/cosign/OPERATOR-HANDOFF.md for the
+          full setup runbook and rotation process.
+          EOF
+            exit 1
+          fi
+          umask 077
+          echo "$FAI_SIGNING_KEY_PEM" > /tmp/signing-key.pem
+          openssl dgst -sha256 \
+            -sign /tmp/signing-key.pem \
+            -out "${{ steps.pack.outputs.bundle }}.sig.raw" \
+            "${{ steps.pack.outputs.bundle }}"
+          base64 < "${{ steps.pack.outputs.bundle }}.sig.raw" \
+            > "${{ steps.pack.outputs.bundle }}.sig"
+          rm "${{ steps.pack.outputs.bundle }}.sig.raw"
+          shred -u /tmp/signing-key.pem || rm -f /tmp/signing-key.pem
+          ls -la "${{ steps.pack.outputs.bundle }}.sig"
+
+      - name: Round-trip verify
+        # Sanity-check: the freshly-signed bundle must verify
+        # against the well-known public key before we publish it.
+        run: |
+          curl -fsSL https://git.flemming.ai/fai/platform/raw/branch/main/infra/cosign/official.pub \
+            -o /tmp/official.pub
+          openssl dgst -sha256 \
+            -verify /tmp/official.pub \
+            -signature <(base64 -d < "${{ steps.pack.outputs.bundle }}.sig") \
+            "${{ steps.pack.outputs.bundle }}"
+
+      - name: Attach bundle + signature to Forgejo Release
+        run: |
+          set -eu
+          BUNDLE="${{ steps.pack.outputs.bundle }}"
+          SIG="$BUNDLE.sig"
+          REL_JSON=$(curl -sS \
+            -H "Authorization: token ${GITHUB_TOKEN}" \
+            "https://git.flemming.ai/api/v1/repos/${GITHUB_REPOSITORY}/releases/tags/${GITHUB_REF_NAME}")
+          REL_ID=$(echo "$REL_JSON" | jq -r '.id // empty')
+          if [ -z "$REL_ID" ] || [ "$REL_ID" = "null" ]; then
+            REL_ID=$(curl -sS -X POST \
+              -H "Authorization: token ${GITHUB_TOKEN}" \
+              -H "Content-Type: application/json" \
+              "https://git.flemming.ai/api/v1/repos/${GITHUB_REPOSITORY}/releases" \
+              -d "{\"tag_name\":\"${GITHUB_REF_NAME}\",\"name\":\"${GITHUB_REF_NAME}\",\"draft\":false,\"prerelease\":false,\"body\":\"Auto-generated by sign-bundle workflow\"}" \
+              | jq -r '.id')
+          fi
+          upload_one() {
+            local asset_path="$1" asset
+            asset=$(basename "$asset_path")
+            EXISTING=$(curl -sS \
+              -H "Authorization: token ${GITHUB_TOKEN}" \
+              "https://git.flemming.ai/api/v1/repos/${GITHUB_REPOSITORY}/releases/${REL_ID}/assets" \
+              | jq -r ".[] | select(.name==\"${asset}\") | .id")
+            if [ -n "$EXISTING" ]; then
+              curl -sS -X DELETE \
+                -H "Authorization: token ${GITHUB_TOKEN}" \
+                "https://git.flemming.ai/api/v1/repos/${GITHUB_REPOSITORY}/releases/${REL_ID}/assets/${EXISTING}" \
+                || true
+            fi
+            curl -sS -X POST \
+              -H "Authorization: token ${GITHUB_TOKEN}" \
+              -F "attachment=@${asset_path}" \
+              "https://git.flemming.ai/api/v1/repos/${GITHUB_REPOSITORY}/releases/${REL_ID}/assets?name=${asset}" \
+              > /dev/null
+            echo "uploaded $asset"
+          }
+          upload_one "$BUNDLE"
+          upload_one "$SIG"
+          echo "release ${GITHUB_REF_NAME} ready: https://git.flemming.ai/${GITHUB_REPOSITORY}/releases/tag/${GITHUB_REF_NAME}"

Cargo.lock

@@ -39,17 +39,11 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "9330f8b2ff13f34540b44e946ef35111825727b38d33286ef986142615121801"
 
 [[package]]
-name = "equivalent"
-version = "1.0.2"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "877a4ace8713b0bcf2a4e7eec82529c029f1d0619886d18145fea96c3ffe5c0f"
-
-[[package]]
-name = "fai-module-sdk"
+name = "chain-module-sdk"
 version = "0.1.2"
-source = "git+https://git.flemming.ws/fai/module-sdk.git?branch=main#f209fbc86f531b53e576f3cdbdf75750eef3b07a"
+source = "git+https://git.flemming.ai/fai/chain-module-sdk-rust.git?branch=main#98e98e9371f7409560a1ef08bc0923d9a2506449"
 dependencies = [
- "fai-module-sdk-macros",
+ "chain-module-sdk-macros",
  "serde",
  "serde_json",
  "thiserror",
@@ -57,15 +51,21 @@ dependencies = [
 ]
 
 [[package]]
-name = "fai-module-sdk-macros"
+name = "chain-module-sdk-macros"
 version = "0.1.2"
-source = "git+https://git.flemming.ws/fai/module-sdk.git?branch=main#f209fbc86f531b53e576f3cdbdf75750eef3b07a"
+source = "git+https://git.flemming.ai/fai/chain-module-sdk-rust.git?branch=main#98e98e9371f7409560a1ef08bc0923d9a2506449"
 dependencies = [
  "proc-macro2",
  "quote",
  "syn",
 ]
 
+[[package]]
+name = "equivalent"
+version = "1.0.2"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "877a4ace8713b0bcf2a4e7eec82529c029f1d0619886d18145fea96c3ffe5c0f"
+
 [[package]]
 name = "form_urlencoded"
 version = "1.2.2"
@@ -140,7 +140,7 @@ checksum = "6cc46bac87ef8093eed6f272babb833b6443374399985ac8ed28471ee0918545"
 name = "llm_chat"
 version = "0.1.0"
 dependencies = [
- "fai-module-sdk",
+ "chain-module-sdk",
  "serde",
  "serde_json",
  "thiserror",

Cargo.toml

@@ -17,7 +17,7 @@ description = "F∆I module providing llm.chat"
 crate-type = ["cdylib", "rlib"]
 
 [dependencies]
-fai-module-sdk = { git = "https://git.flemming.ws/fai/module-sdk.git", branch = "main" }
+chain-module-sdk = { git = "https://git.flemming.ai/fai/chain-module-sdk-rust.git", branch = "main" }
 serde = { version = "1", features = ["derive"] }
 serde_json = "1"
 thiserror = "2"

LICENSE

@@ -58,7 +58,7 @@ APPENDIX: How to apply the Apache License to your work.
 
 To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!)  The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives.
 
-Copyright 2026 fai-modules
+Copyright 2026 Flemming.AI
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.

MODULE.de.md

@@ -0,0 +1,106 @@
+# llm.chat
+
+Generischer Ollama-kompatibler LLM-Chat-Adapter. Das
+Baustein-Modul für jeden Flow, der eine LLM-Einzelantwort
+braucht — klassifizieren, Felder extrahieren, umformulieren,
+entscheiden — ohne einen eigenen HTTP-Client zu bauen.
+
+## Capability
+
+- `llm.chat@0.1.0`
+
+## Eingaben
+
+| Name             | Typ  | Beschreibung                                                              |
+| ---------------- | ---- | ------------------------------------------------------------------------- |
+| `prompt`         | text | Der User-Prompt.                                                          |
+| `endpoint`       | text | Ollama-förmiger `/api/chat`-URL (z.B. `http://localhost:11434/api/chat`). |
+| `model`          | text | Modell-ID (z.B. `qwen2.5:14b`, `llama3.1:8b`).                            |
+| `api_key`        | text | Optionaler Bearer-Token für Cloud-Endpunkte.                              |
+| `system_prompt`  | text | Optionale System-Nachricht. Leer = Default des Modells.                   |
+
+## Ausgaben
+
+| Name             | Typ  | Beschreibung                                                          |
+| ---------------- | ---- | --------------------------------------------------------------------- |
+| `response`       | text | Die Antwort des Assistants als Plain-Text.                            |
+| `model_endpoint` | text | URL, gegen die die Antwort erzeugt wurde.                             |
+| `model_name`     | text | Modell-ID wie an die LLM-API gesendet.                                |
+| `model_digest`   | text | SHA-256-Digest des bedienenden Ollama-Modells. Leer bei Cloud-APIs.   |
+
+Zusammen beantworten die drei `model_*`-Ausgaben die Audit-
+Frage: „Welches genaue Modell hat diese Antwort erzeugt?" —
+diese Spur ist der Grund, warum Flows dieses Modul nutzen statt
+eigene HTTP-Calls zu sprechen.
+
+## Berechtigungen
+
+```yaml
+permissions:
+  - "net: localhost"
+  - "net: 127.0.0.1"
+  - "net: api.openai.com"
+  - "net: api.anthropic.com"
+```
+
+Loopback (lokales Ollama) per Default. Cloud-Endpunkte brauchen
+einen Operator-Policy-Override in
+`~/.chain/config.yaml#security.max_permissions`.
+
+## Warum dieses Modul statt Inline-HTTP
+
+Drei Gründe:
+
+1. **Audit.** Jeder LLM-Aufruf erzeugt `model_endpoint`,
+   `model_name`, `model_digest` als separate Ausgaben, die
+   im hash-verketteten Audit-Log neben der Response landen.
+   Eine Aufsichts-Reproduzierbarkeits-Prüfung vergleicht
+   einfach das Digest-Feld mit dem Modell-Snapshot.
+2. **Permission-Posture.** Operator:innen sehen `llm.chat`
+   in den installierten Modulen + dessen deklarierte
+   `net:`-Liste. Ein hausgemachtes HTTP-Modul würde seine
+   Endpunkte entweder verstecken oder bei jeder Installation
+   eine frische Review-Oberfläche schaffen.
+3. **Endpunkt-Portabilität.** Endpunkt + Modell sind Flow-
+   Inputs, keine Compile-Time-Konstanten. Derselbe Flow läuft
+   in der Entwicklung gegen `localhost:11434` und in Produktion
+   gegen ein Inferenz-Cluster — nur die Eingabe wechselt.
+
+## Grenzen in v0.1.0
+
+- Kein Streaming. Die ganze Antwort wird gepuffert, bevor der
+  Output-Step feuert.
+- Keine Tool-Call- / Function-Call-Oberfläche. Ein Flow, der
+  Tool-Use braucht, kombiniert mehrere `llm.chat`-Schritte mit
+  Prompt-Engineering oder nutzt MCP via Bridge.
+- Cloud-Provider-Adapter für OpenAI und Anthropic kommen erst,
+  wenn ein Flow sie braucht. Heute ist das Ollama-Wire-Format
+  das einzige Ziel.
+
+## Beispiel-Flow
+
+```yaml
+name: classify-incoming
+inputs:
+  text: text
+steps:
+  - id: classify
+    use: llm.chat@^0
+    with:
+      prompt: $inputs.text
+      system_prompt: |
+        Klassifiziere den Text als: question, complaint,
+        feedback, spam. Antworte nur mit dem Label.
+      endpoint: "http://localhost:11434/api/chat"
+      model: "qwen2.5:14b"
+outputs:
+  category: $classify.response
+  audit_model: $classify.model_digest
+```
+
+## Build
+
+```bash
+cargo build --release --target wasm32-wasip2
+# Ausgabe: target/wasm32-wasip2/release/llm_chat.wasm
+```

MODULE.md

@@ -0,0 +1,104 @@
+# llm.chat
+
+Generic Ollama-compatible LLM chat adapter. The building-block
+module any flow uses when it needs a one-shot LLM completion —
+classify, extract-fields, rewrite, decide — instead of rolling
+its own HTTP client.
+
+## Capability
+
+- `llm.chat@0.1.0`
+
+## Inputs
+
+| Name             | Type | Description                                                     |
+| ---------------- | ---- | --------------------------------------------------------------- |
+| `prompt`         | text | The user-facing prompt.                                         |
+| `endpoint`       | text | Ollama-shaped `/api/chat` URL (e.g. `http://localhost:11434/api/chat`). |
+| `model`          | text | Model identifier (e.g. `qwen2.5:14b`, `llama3.1:8b`).           |
+| `api_key`        | text | Optional bearer token for cloud-hosted endpoints.               |
+| `system_prompt`  | text | Optional system message. Empty = use the model's default.       |
+
+## Outputs
+
+| Name             | Type | Description                                                         |
+| ---------------- | ---- | ------------------------------------------------------------------- |
+| `response`       | text | The assistant's plain-text reply.                                   |
+| `model_endpoint` | text | The endpoint the response was generated against.                    |
+| `model_name`     | text | The model identifier as supplied to the LLM API.                    |
+| `model_digest`   | text | SHA-256 digest of the served Ollama model. Empty for cloud APIs.    |
+
+Together the three `model_*` outputs answer the audit
+question: "which exact model produced this response?" — that
+audit trail is the reason flows use this module rather than
+spawning their own HTTP calls.
+
+## Permissions
+
+```yaml
+permissions:
+  - "net: localhost"
+  - "net: 127.0.0.1"
+  - "net: api.openai.com"
+  - "net: api.anthropic.com"
+```
+
+Loopback (local Ollama) by default. Cloud endpoints require an
+operator-policy override in `~/.chain/config.yaml#security.max_permissions`.
+
+## Why this module instead of inline HTTP
+
+Three reasons:
+
+1. **Audit.** Every LLM call surfaces `model_endpoint`,
+   `model_name`, `model_digest` as separate outputs that land
+   in the hash-chained audit log alongside the response. A
+   regulator-facing reproducibility check just compares the
+   digest field to the model snapshot.
+2. **Permission posture.** The operator sees `llm.chat` in
+   the installed modules + its declared `net:` list. A
+   home-grown HTTP module would either hide its endpoints
+   or be a fresh review surface every time.
+3. **Endpoint portability.** The endpoint + model are flow
+   inputs, not compile-time constants. The same flow runs
+   against `localhost:11434` in dev and a production
+   inference cluster in prod just by swapping the input.
+
+## Limits in v0.1.0
+
+- No streaming. The whole reply is buffered before the output
+  step fires.
+- No tool-call / function-call surface. A flow needing tool
+  use composes multiple `llm.chat` steps with prompt
+  engineering, or uses MCP via the bridge.
+- Cloud-provider adapters for OpenAI and Anthropic are
+  deferred until a flow actually needs them. Today the
+  Ollama wire-format is the only target.
+
+## Example flow
+
+```yaml
+name: classify-incoming
+inputs:
+  text: text
+steps:
+  - id: classify
+    use: llm.chat@^0
+    with:
+      prompt: $inputs.text
+      system_prompt: |
+        Classify the text as one of: question, complaint,
+        feedback, spam. Answer with the label only.
+      endpoint: "http://localhost:11434/api/chat"
+      model: "qwen2.5:14b"
+outputs:
+  category: $classify.response
+  audit_model: $classify.model_digest
+```
+
+## Build
+
+```bash
+cargo build --release --target wasm32-wasip2
+# Output: target/wasm32-wasip2/release/llm_chat.wasm
+```

README.md

@@ -29,7 +29,7 @@ on every successful invocation. Together they answer the audit
 question "which exact model produced this response?" The digest
 probe targets Ollama's `/api/show` and is best-effort — non-
 Ollama endpoints and transient probe failures yield an empty
-digest rather than blocking the response. Cf. F∆I Platform
+digest rather than blocking the response. Cf. Ch∆In
 `docs/advanced/compliance-gaps.md` Gap 1.
 
 ## Build
@@ -47,7 +47,7 @@ cargo build --release --target wasm32-wasip2
 
 ## SDK source
 
-The Cargo.toml git-deps `fai-module-sdk` from
+The Cargo.toml git-deps `chain-module-sdk` from
 `https://git.flemming.ws/fai/module-sdk.git`. The Forgejo
 instance has `REQUIRE_SIGNIN_VIEW=true`, so anonymous clones
 fail; CI uses the `MODULE_SDK_PAT` actions secret + `git config
@@ -58,5 +58,5 @@ transparently. Local dev uses the same pattern via env vars.
 
 Apache-2.0.
 
-Author: Dr. Stefan Flemming, Flemming.AI <platform@flemming.ai>
-Repository: https://git.flemming.ws/fai-modules/llm-chat
+Author: Dr. Stefan Flemming, Flemming.AI <chain@flemming.ai>
+Repository: https://git.flemming.ws/chain-modules/llm-chat

module.yaml

@@ -1,4 +1,5 @@
-schema_version: 1
+schema_version: 3
+provider: chain
 name: llm-chat
 version: 0.1.0
 
@@ -7,38 +8,81 @@ provides:
   - capability: llm.chat
     version: 0.1.0
 
-# Inputs the invoke function accepts.
+# Declared inputs in verbose v3 form. Studio renders the
+# description in the active locale as a tooltip on each
+# port; the editor falls back to the English description
+# when no peer is configured.
 inputs:
-  # The user-facing prompt text.
-  prompt: text
-  # Ollama-shaped /api/chat endpoint, e.g.
-  # "http://localhost:11434/api/chat".
-  endpoint: text
-  # Model identifier as registered with the endpoint, e.g.
-  # "qwen2.5:14b" or "llama3.1:8b".
-  model: text
-  # Optional bearer token for cloud-hosted endpoints. Empty
-  # string means no Authorization header is sent.
-  api_key: text
-  # Optional system prompt. Empty string omits the system
-  # message and lets the model use its built-in default.
-  system_prompt: text
+  prompt:
+    type: text
+    description:
+      en: The user-facing prompt text the model should respond to.
+      de: Der vom Modell zu beantwortende Prompt-Text.
+  endpoint:
+    type: text
+    description:
+      en: |
+        Ollama-shaped /api/chat endpoint, e.g.
+        "http://localhost:11434/api/chat".
+      de: |
+        Ollama-kompatibler /api/chat-Endpunkt, z. B.
+        "http://localhost:11434/api/chat".
+  model:
+    type: text
+    description:
+      en: Model identifier as registered with the endpoint, e.g. "qwen2.5:14b" or "llama3.1:8b".
+      de: Modell-Identifier wie beim Endpunkt registriert, z. B. "qwen2.5:14b" oder "llama3.1:8b".
+  api_key:
+    type: text
+    description:
+      en: |
+        Optional bearer token for cloud-hosted endpoints.
+        Empty string means no Authorization header is sent.
+      de: |
+        Optionaler Bearer-Token für Cloud-Endpunkte.
+        Leer = kein Authorization-Header gesendet.
+  system_prompt:
+    type: text
+    description:
+      en: |
+        Optional system prompt. Empty string omits the system
+        message and lets the model use its built-in default.
+      de: |
+        Optionaler System-Prompt. Leer = das Modell verwendet
+        seinen eingebauten Default.
 
 # Outputs produced.
 outputs:
-  # The assistant's plain-text reply.
-  response: text
-  # The endpoint the response was generated against. Used for
-  # audit correlation.
-  model_endpoint: text
-  # The model identifier as supplied to the LLM API.
-  model_name: text
-  # SHA-256 digest of the served Ollama model, when reachable.
-  # Empty for non-Ollama endpoints (OpenAI / Anthropic do not
-  # expose a digest API). Together with model_endpoint and
-  # model_name this answers the audit question "which exact
-  # model produced this response?"
-  model_digest: text
+  response:
+    type: text
+    description:
+      en: The assistant's plain-text reply.
+      de: Die Klartext-Antwort des Modells.
+  model_endpoint:
+    type: text
+    description:
+      en: The endpoint the response was generated against. Used for audit correlation.
+      de: Der Endpunkt, gegen den die Antwort erzeugt wurde — für Audit-Korrelation.
+  model_name:
+    type: text
+    description:
+      en: The model identifier as supplied to the LLM API.
+      de: Der an die LLM-API übergebene Modell-Identifier.
+  model_digest:
+    type: text
+    description:
+      en: |
+        SHA-256 digest of the served Ollama model, when reachable.
+        Empty for non-Ollama endpoints (OpenAI / Anthropic do not
+        expose a digest API). Together with model_endpoint and
+        model_name this answers the audit question "which exact
+        model produced this response?"
+      de: |
+        SHA-256-Digest des bedienten Ollama-Modells, wenn erreichbar.
+        Leer für Nicht-Ollama-Endpunkte (OpenAI / Anthropic stellen
+        keine Digest-API bereit). Zusammen mit model_endpoint und
+        model_name beantwortet das die Audit-Frage "welches genaue
+        Modell hat diese Antwort erzeugt?"
 
 # Permissions required.
 #

src/lib.rs

@@ -10,7 +10,7 @@
 
 mod llm;
 
-use fai_module_sdk::prelude::*;
+use chain_module_sdk::prelude::*;
 
 #[fai_module]
 pub fn invoke(_ctx: Context, inputs: Inputs) -> Result<Outputs, ModuleError> {