.forgejo/workflows/ci.yml

@@ -30,7 +30,7 @@ jobs:
           git fetch --depth=1 origin "$GITHUB_SHA"
           git checkout -q FETCH_HEAD
 
-      # The chain-module-sdk dependency is a git dep against a repo
+      # The fai-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

@@ -1,223 +0,0 @@
-# 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: orchestrator-llm
-
-    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.toml

@@ -7,17 +7,17 @@
 name = "orchestrator_llm"
 version = "0.3.2"
 edition = "2024"
-authors = ["Dr. Stefan Flemming <chain@flemming.ai>"]
+authors = ["Dr. Stefan Flemming <platform@flemming.ai>"]
 license = "Apache-2.0"
 publish = false
 description = "F∆I orchestrator module — turns natural-language goals into structured execution plans"
-repository = "https://git.flemming.ws/chain-modules/orchestrator-llm"
+repository = "https://git.flemming.ws/fai-modules/orchestrator-llm"
 
 [lib]
 crate-type = ["cdylib", "rlib"]
 
 [dependencies]
-chain-module-sdk = { git = "https://git.flemming.ai/fai/chain-module-sdk-rust.git", branch = "main" }
+fai-module-sdk = { git = "https://git.flemming.ws/fai/module-sdk.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 Flemming.AI
+Copyright 2026 fai-modules
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.

module.yaml

@@ -1,111 +1,55 @@
-schema_version: 3
-provider: chain
+schema_version: 1
 name: orchestrator-llm
 version: 0.3.1
 
+# Capability provided by this module.
 provides:
   - capability: orchestrator.plan
     version: 0.3.0
 
-# Capabilities the plans this module emits typically reference.
-# Advisory only — Studio surfaces "you'll also want X" when the
-# operator installs orchestrator-llm; `fai admin doctor` flags
-# unmet entries; the hub does NOT block install.
-consumes:
-  - capability: llm.chat
-    version: "^0"
-    why: "orchestrator-emitted plans dispatch llm.chat steps for downstream LLM-driven work; a flow that runs the plan unmodified needs an llm.chat provider installed."
-
+# Inputs the invoke function accepts.
 inputs:
-  goal:
-    type: text
-    description:
-      en: Operator-stated goal in natural language — what the resulting flow should accomplish.
-      de: Ziel in natürlicher Sprache — was der erzeugte Flow erreichen soll.
-  llm_endpoint:
-    type: text
-    description:
-      en: |
-        LLM HTTP endpoint, e.g. "http://localhost:11434/api/chat"
-        for Ollama, "https://api.openai.com/v1/chat/completions",
-        or "https://api.anthropic.com/v1/messages".
-      de: |
-        LLM-HTTP-Endpunkt, z. B. "http://localhost:11434/api/chat"
-        für Ollama, "https://api.openai.com/v1/chat/completions"
-        oder "https://api.anthropic.com/v1/messages".
-  llm_model:
-    type: text
-    description:
-      en: Model identifier, e.g. "qwen2.5:14b" for Ollama or "gpt-4o-mini".
-      de: Modell-Identifier, z. B. "qwen2.5:14b" (Ollama) oder "gpt-4o-mini".
-  llm_api_key:
-    type: text
-    description:
-      en: Optional bearer token for cloud providers. Empty = no Authorization header.
-      de: Optionaler Bearer-Token für Cloud-Provider. Leer = kein Authorization-Header.
-  available_capabilities:
-    type: text
-    description:
-      en: |
-        Optional JSON-encoded list of installed capabilities.
-        Omit or pass an empty string to plan without capability
-        context.
-      de: |
-        Optional JSON-codierte Liste der installierten
-        Capabilities. Leer = ohne Capability-Kontext planen.
-  store_capabilities:
-    type: text
-    description:
-      en: |
-        Optional JSON-encoded list of all known store
-        capabilities (installed + planned + alpha). Used when
-        the orchestrator needs to suggest installations.
-      de: |
-        Optional JSON-codierte Liste aller bekannten Store-
-        Capabilities (installiert + geplant + alpha). Nötig,
-        wenn der Orchestrator Installationen vorschlagen soll.
+  goal: text
+  # LLM HTTP endpoint, e.g. "http://localhost:11434/api/chat"
+  # for Ollama, "https://api.openai.com/v1/chat/completions",
+  # or "https://api.anthropic.com/v1/messages".
+  llm_endpoint: text
+  # Model identifier, e.g. "qwen2.5:14b" for Ollama or "gpt-4o-mini".
+  llm_model: text
+  # Optional bearer token for cloud providers. Empty string means
+  # no Authorization header is sent.
+  llm_api_key: text
+  # Optional JSON-encoded list of installed capabilities. If
+  # omitted or empty, the module plans without capability context.
+  available_capabilities: text
+  # Optional JSON-encoded list of all known store capabilities
+  # (installed + planned + alpha). Used when the orchestrator
+  # needs to suggest installations.
+  store_capabilities: text
 
+# Outputs produced.
 outputs:
-  plan:
-    type: json
-    description:
-      en: JSON-encoded Plan compatible with `fai_hub::plan::Plan`.
-      de: JSON-codierter Plan, kompatibel mit `fai_hub::plan::Plan`.
-  model_endpoint:
-    type: text
-    description:
-      en: |
-        The endpoint the plan was generated against. Empty when
-        the deterministic stub path (no llm_endpoint) ran.
-      de: |
-        Endpunkt, gegen den der Plan erzeugt wurde. Leer beim
-        deterministischen Stub-Pfad (ohne llm_endpoint).
-  model_name:
-    type: text
-    description:
-      en: The model name as supplied to the LLM API.
-      de: An die LLM-API übergebener Modellname.
-  model_digest:
-    type: text
-    description:
-      en: |
-        SHA-256 digest of the served Ollama model, when
-        reachable. Empty for cloud providers (OpenAI / Anthropic
-        do not expose a digest API) and for the deterministic
-        stub path. Together with model_endpoint and model_name
-        this answers the audit question "which exact model
-        produced this plan?"
-      de: |
-        SHA-256-Digest des bedienten Ollama-Modells, wenn
-        erreichbar. Leer für Cloud-Provider (OpenAI / Anthropic
-        bieten keine Digest-API) und für den deterministischen
-        Stub-Pfad. Zusammen mit model_endpoint + model_name
-        beantwortet das die Audit-Frage "welches genaue Modell
-        hat diesen Plan erzeugt?"
+  # JSON-encoded Plan compatible with `fai_hub::plan::Plan`.
+  plan: json
+  # The endpoint the plan was generated against. Empty when the
+  # deterministic stub path (no llm_endpoint) ran.
+  model_endpoint: text
+  # The model name as supplied to the LLM API.
+  model_name: text
+  # SHA-256 digest of the served Ollama model, when reachable.
+  # Empty for cloud providers (OpenAI / Anthropic do not expose
+  # a digest API) and for the deterministic stub path. Together
+  # with model_endpoint and model_name this answers the audit
+  # question "which exact model produced this plan?"
+  model_digest: text
 
 # Permissions required.
 #
 # The module makes outbound HTTP to the configured LLM endpoint.
+# Default declarations cover the common providers (cloud OpenAI,
+# Anthropic, local Ollama on loopback). Operators with different
+# LLM endpoints add a host-level entry via operator config
+# (Phase 1+) — for Phase 0.5 they fork module.yaml.
 permissions:
   - "net: api.openai.com"
   - "net: api.anthropic.com"

src/lib.rs

@@ -1,7 +1,7 @@
 //! orchestrator-llm — turns natural-language goals into Plan JSON.
 //!
 //! v0.3.0 migrates from a hand-written wit_bindgen scaffold to the
-//! `#[fai_module]` macro from `chain-module-sdk`. The behavior is
+//! `#[fai_module]` macro from `fai-module-sdk`. The behavior is
 //! unchanged from v0.2.1: a configured Ollama-compatible endpoint
 //! drives a real plan when `llm_endpoint` is set, otherwise the
 //! deterministic stub from v0.1.0 takes over.
@@ -19,7 +19,7 @@ mod plan;
 
 pub use plan::{Plan, PlanStep, build_stub_plan, parse_and_validate, validate};
 
-use chain_module_sdk::prelude::*;
+use fai_module_sdk::prelude::*;
 
 #[fai_module]
 pub fn invoke(_ctx: Context, inputs: Inputs) -> Result<Outputs, ModuleError> {