Getting Started

Getting Started

This guide walks through local setup, environment configuration, MCP setup, and how to run each interface.

Prerequisites

• Python 3.10+
• uv
• Docker (optional, for container runs)

Install dependencies

User installation (core only)

uv sync

Optional components (from project root)

• CLI: uv sync --extra cli
• API: uv sync --extra api
• Chat UI: uv sync --extra chat
• Home Assistant integration: uv sync --extra ha
• Tools bundle: uv sync --extra tools
• Everything optional: uv sync --all-extras

Developer installation (all components + dev/test/docs)

uv sync --all-extras --all-groups

Git hooks (recommended)

Use the repo hook set to enforce commit message format and block pushes that fail linting/tests.

Install the repo-managed hooks:

git config core.hooksPath scripts/githooks

Optional: enable pre-commit hooks if you use pre-commit locally:

make precommit-install

Commit message format:

<emoji> <verb>(<scope>): <message>

Pre-push runs:

• scripts/ci/check.sh (ruff format/check, mypy, pytest)

Configuration setup

1. If configs are missing, run /config init, /mcp init, or /init from the CLI to scaffold examples.
2. Use only JSON configs under configs/:
   • configs/app.json (runtime + LLM + integrations)
   • configs/mcp.json (MCP servers)
   • configs/*.example.json are templates for new installs
3. Update configs/app.json with your runtime settings:
   • llm.api_key and llm.api_base (required)
   • llm.default_model and/or llm.action_plan_model
   • Optional: llm.tool_model for tool execution (falls back to action_plan_model, then default_model)
   • runtime.session_dir (optional, for transcript storage)
4. If you use an OpenAI-compatible base URL and your model name has no provider prefix, Meeseeks will call openai/<model> automatically.

MCP setup (auto-discovery)

MCP tools are auto-discovered from configs/mcp.json.

1. Set each MCP server url and any headers needed for auth.
2. Start any interface once; a tool manifest is auto-generated and cached under ~/.meeseeks/.

Optional components

• Langfuse: set langfuse.enabled + keys in configs/app.json.
• Home Assistant: set home_assistant.enabled + credentials in configs/app.json.

CLI approval UI

• Default approval prompts render as a Rich panel with padded, dotted borders.
• Use /automatic or --auto-approve to bypass prompts when appropriate.

Run interfaces (local)

• CLI: uv run meeseeks
• API: uv run meeseeks-api (or uv run python -m meeseeks_api.backend)
• Chat UI: uv run meeseeks-chat
• Home Assistant integration: install meeseeks_ha_conversation/ as a custom component and point it at the API.

Docker (optional)

• Build images using docker/Dockerfile.api and docker/Dockerfile.chat.
• Mount configs/app.json (and configs/mcp.json if you use MCP).
• Persist data/sessions if you want transcripts across restarts.

Docs (optional)

If you want to build the docs locally:

uv sync --all-extras --group docs
uv run mkdocs serve