mp-ai-module-controller

Rust controller for starting a local llama.cpp server, asking it to map natural-language requests to known local actions, and dispatching exact-match Rust scripts. It supports both verbose action JSON and compact dictionary-coded outputs for hypersmall local models.

Setup

cp .env.example .env
# edit LLAMA_MODEL_PATH in .env
cargo build
cargo run -- dictionary generate
git config core.hooksPath .githooks

The controller expects llama-server from llama.cpp to be installed. On this machine the planned binary is /opt/homebrew/bin/llama-server; if that path is not present, the controller falls back to llama-server on PATH.

Commands

cargo run -- dictionary generate
cargo run -- serve
cargo run -- query "log hello from codex"
cargo run -- run logger --payload '{"message":"hello from direct dispatch"}'
scripts/precommit-check.sh

serve starts:

llama-server --model "$LLAMA_MODEL_PATH" --host "$LLAMA_HOST" --port "$LLAMA_PORT"

Optional environment variables:

LLAMA_CONTEXT_SIZE: appended as --ctx-size.
LLAMA_EXTRA_ARGS: shell-split and appended to llama-server.
CONTROLLER_LOG_LEVEL: tracing log level, default info.

Dictionary

Run cargo run -- dictionary generate to create:

dictionary/actions.jsonl: canonical training dictionary, one action record per line.
dictionary/actions.index.json: compact runtime lookup index.
dictionary/model.codebook.json: static-plus-adaptive compact codebook.
dictionary/model.examples.jsonl: hand-authored examples/templates for future synthetic-data tooling.

dictionary/static-base.json is the tracked static base dictionary. Generated metadata includes dictionary_version, registry_checksum, static_base_checksum, and codebook_checksum.

The runtime only dispatches exact action_id matches from actions.index.json. Aliases and examples are training hints, not executable ids. Compact model outputs must match the generated codebook version and checksum before expansion.

LLM Response Contract

The local model must return compact JSON:

{"action_id":"logger","payload":{"message":"hello"}}

It may also return compact codebook JSON:

{"v":"1.0.0","c":"<codebook_checksum>","a":"A001","p":{"F001":"hello"}}

Malformed JSON, missing action codes, stale versions/checksums, aliases, and unknown action ids are rejected without running anything.

Initial Script

The first registered script is logger. It writes JSONL records to logs/controller-actions.jsonl. Dispatch is detached: after the controller spawns the script process, it does not monitor completion.

CI And Hooks

The project includes:

.codex/environments/environment.toml for Codex setup and run actions.
.gitea/workflows/ci.yml for Gitea Actions.
.woodpecker.yml for Woodpecker.
.githooks/pre-commit for local pre-commit checks.
scripts/precommit-check.sh as the shared validation entrypoint.

Enable the hook after cloning:

git config core.hooksPath .githooks

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