diff options
| -rw-r--r-- | .dockerignore | 26 | ||||
| -rw-r--r-- | README.md | 171 | ||||
| -rw-r--r-- | agent/README.md | 0 | ||||
| -rw-r--r-- | agent/orchestrator/__init__.py | 6 | ||||
| -rw-r--r-- | agent/orchestrator/api.py | 56 | ||||
| -rw-r--r-- | agent/orchestrator/context.py | 42 | ||||
| -rw-r--r-- | agent/orchestrator/loop.py | 18 | ||||
| -rw-r--r-- | agent/orchestrator/models/__init__.py | 24 | ||||
| -rw-r--r-- | agent/orchestrator/models/base.py | 44 | ||||
| -rw-r--r-- | agent/orchestrator/models/claude_code.py | 68 | ||||
| -rw-r--r-- | agent/pyproject.toml | 24 | ||||
| -rw-r--r-- | agent/uv.lock | 690 | ||||
| -rw-r--r-- | docker/Dockerfile | 62 | ||||
| -rw-r--r-- | docker/compose.yml | 16 | ||||
| -rw-r--r-- | mcp/senia/server.py | 8 |
15 files changed, 1228 insertions, 27 deletions
diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 0000000..883f232 --- /dev/null +++ b/.dockerignore @@ -0,0 +1,26 @@ +# .dockerignore at senia/ (the build context root) + +# everything runtime-mounted; not needed in the image +.claude.json +claude/ +data/ +workspace/ +mcp/ +scripts/ + +# the docker dir itself; no need to send it back into the build +docker/ + +# python dev artifacts +**/.venv/ +**/__pycache__/ +**/*.pyc +**/.pytest_cache/ + +# editor / OS noise +.git/ +.gitignore +.vscode/ +**/.DS_Store +**/*.swp +**/*.swo diff --git a/README.md b/README.md new file mode 100644 index 0000000..f2e8b8b --- /dev/null +++ b/README.md @@ -0,0 +1,171 @@ +# Sénia + +a personal butler/coder AI assistant. + +runs in a docker container with persistent state, an HTTP API for chat, autonomous heartbeat behavior, and a memory system designed to mimic human-style recall (granular recent, fuzzy distant). + +## current state + +### running + +- **docker container, debian trixie**, `restart: unless-stopped` +- **senia user** (uid 750) with narrow `sudo` (apt/apt-get only) +- **claude code** as the current LLM backend (subscription-auth via mounted `~/.claude/`), installed system-wide so updates happen via container rebuild rather than self-update +- **read-only `:ro` mounts** enforce sandbox boundaries even against in-container root +- **HTTP API** on port 8000, OpenAI-compatible (`/v1/chat/completions`, `/v1/models`) + +### the agent loop (`senia/agent/`) + +- **fastapi service** running inside the container as the main process (uvicorn) +- **backend-agnostic design** via a `ModelBackend` strategy pattern: swapping models is a one-line change +- **current backend:** shells out to `claude -p` for non-interactive turns +- **dynamic per-turn context** assembled fresh: current time + today's diary entries +- **persona** handled by the backend natively (claude code autodetects `CLAUDE.md` from the workspace) +- **dependency management with `uv`**, a single static rust binary, dramatically faster than pip/poetry, uses standard PEP 621 metadata in pyproject.toml + +### memory + +- **diary log MCP tool:** short timestamped entries in sqlite, agent-authored throughout the day +- **task tracking MCP tool:** categorized by owner `agent` (to be done autonomously during heartbeats) or `user` (to periodically remind the user of) +- **single shared db** at `/etc/senia/data/senia.db`, migration-tracked +- **persona files** (SOUL.md / USER.md / AGENTS.md) for stable identity across model swaps + +### autonomous behavior + +- **variable heartbeat script** runs every 30 min via host cron + `docker exec` +- wakes Sénia when there are pending tasks OR more than 2 hours since the last wake +- captures her response and delivers it via **ntfy** push notification +- supports the `(quiet)` sentinel for no-op heartbeats +- runs orthogonal to the HTTP API; the heartbeat directly invokes claude code, doesn't pass through the loop + +### tooling for the agent herself + +- `uv` (preferred) and `pip --user` for python packages +- `npm install -g` for node tools (configured to her user-local npm prefix) +- `sudo apt install` for system packages, narrowly allowed + +### public / private repo split + +the persona content (`CLAUDE.md`) and saved conversation contexts contain real personal data that shouldn't live in a public portfolio. they're tracked in a separate private companion repository (`senia-private`), referenced as a git submodule at `private/`. + +the setup script handles both cases: + +- **with access to the private repo:** the submodule pulls down, real persona and contexts are mounted into the container +- **without access:** placeholder files are generated locally, the container runs in a demonstrable state with a generic persona + +both cases produce a fully working system; only the content differs. this preserves portfolio-readability while protecting personal data. + +## planned + +### chat interface + +- **Open WebUI** behind authentik for the primary chat surface (browser + mobile) +- **Conduit** as the native mobile client (FOSS, flutter, authentik-aware) +- the loop's HTTP API registered with Open WebUI as a custom OpenAI provider +- **ntfy** kept for asynchronous Sénia-initiated push (heartbeats, alerts) + +### memory expansion + +- **daily markdown summaries:** end-of-day compaction job consolidates raw logs into structured daily entries with frontmatter +- **monthly markdown summaries:** same pattern, dailies into a monthly digest +- **embeddings layer:** semantic retrieval via `sqlite-vec`, multilingual embedding model running locally (e.g. multilingual-e5-base via ollama) +- **session-start context injection:** already partially done via the loop; will expand as compaction lands + +### model strategy + +- **swap the backend to a local-first hybrid:** Qwen3.6 quantized via ollama as the default for english butler tasks +- **delegation pattern:** catalan inputs + coding tasks routed to a strong API model (Claude Sonnet) +- **OpenCode** as a tool Sénia can shell out to for LSP-aware code work +- expected to be a single new `OllamaBackend` class in `agent/orchestrator/models/` + routing logic in the loop + +### knowledge + +- **DokuWiki** as the private wiki (deferred for later) +- **Sénia reads via HTTP API**, not direct filesystem; DokuWiki handles link resolution and rendering +- **drafts to a staging area** for documentation help; user commits to wiki manually, preserving curation quality + +## project structure + +``` +~/senia/ +├── .gitmodules # references the private submodule +├── .gitignore +├── .dockerignore # at project root (the docker build context) +├── README.md +├── scripts/ +│ └── setup.sh # bridges public + private repos with fallback +├── docker/ +│ ├── compose.yml +│ └── Dockerfile +├── claude/ +│ └── CLAUDE.example.md # placeholder persona, tracked publicly +├── workspace/ # mounted as /workspace, Sénia's per-turn cwd +├── data/ # runtime state, owned by senia user +│ ├── senia.db # single sqlite db (diary, tasks, future tables) +│ ├── memory/ # future: daily and monthly summaries +│ ├── heartbeat/ # heartbeat state + logs +│ └── scripts/ +│ └── heartbeat.py # variable cron-driven wake-up +├── mcp/ # MCP server source, mounted :ro +│ └── senia/ +│ ├── server.py +│ ├── db.py +│ ├── memory/ +│ │ └── diary.py +│ ├── tasks.py +│ └── migrations/ +├── private/ # submodule: real CLAUDE.md + contexts/ +│ # (gitignored except for .gitmodules entry) +└── agent/ # the orchestration loop, baked into the image + ├── pyproject.toml + ├── uv.lock + ├── README.md + └── orchestrator/ + ├── api.py # fastapi entrypoint + ├── loop.py # per-turn orchestration + ├── context.py # dynamic per-turn context builder + └── models/ + ├── base.py # ModelBackend ABC, ModelRequest/Response types + └── claude_code.py # current backend +``` + +## working with the project + +### first-time setup + +```bash +git clone git@github.com:vylion/senia.git +cd senia +./scripts/setup.sh # initializes private submodule or generates placeholders +cd docker +docker compose build +docker compose up -d +docker compose logs -f senia +``` + +### updating agent code + +the agent code (everything under `agent/`) is **baked into the image at build time**, not mounted at runtime. so changes to `agent/` require rebuilding: + +```bash +cd ~/senia/docker +docker compose build senia +docker compose up -d +``` + +thanks to docker's layer caching (dependencies are copied/installed in a separate step from application code), rebuilds where only python code changed complete in seconds. only changes to `pyproject.toml` or `uv.lock` trigger a full dependency reinstall. + +other things that don't require rebuild: + +- the persona files, mcp server code, data, and workspace: all mounted at runtime +- the heartbeat script (lives on the host, runs via `docker exec`) + +## design principles + +- **own the loop where dynamic context injection matters; use mature tools where they earn their keep** (e.g. OpenCode for LSP-aware coding when added, Open WebUI for chat UI polish) +- **memory hierarchy mirrors human recall:** granular recent, compressed distant, semantic retrieval on demand +- **model is swappable; system stays the same:** persona, tools, and memory all model-agnostic +- **container is the security boundary:** in-container non-root user + `:ro` mounts give Sénia freedom in her sandbox without compromising host +- **diary as audit trail:** installations, decisions, and observations all logged, so the user can review what's been changed +- **orthogonal channels:** chat goes through the loop's HTTP API; heartbeats invoke claude code directly. each channel uses the simplest path that works +- **separation of public code and private data:** architecture is open, content is private, both versioned diff --git a/agent/README.md b/agent/README.md new file mode 100644 index 0000000..e69de29 --- /dev/null +++ b/agent/README.md diff --git a/agent/orchestrator/__init__.py b/agent/orchestrator/__init__.py new file mode 100644 index 0000000..f2260e3 --- /dev/null +++ b/agent/orchestrator/__init__.py @@ -0,0 +1,6 @@ +"""Sénia's orchestration kernel. + +The thin layer that assembles per-turn context, dispatches to a model backend, +and returns the response. Backend-agnostic: switching models is a one-line +change in `models/__init__.py`. +""" diff --git a/agent/orchestrator/api.py b/agent/orchestrator/api.py new file mode 100644 index 0000000..c3582d4 --- /dev/null +++ b/agent/orchestrator/api.py @@ -0,0 +1,56 @@ +"""OpenAI-compatible HTTP API for Sénia. + +Open WebUI (and other OpenAI-API clients) talks to this endpoint set. We accept +the standard `/v1/chat/completions` shape, translate to internal types, hand +off to the orchestrator, and translate the response back to OpenAI shape. +""" + +from fastapi import FastAPI, HTTPException +from pydantic import BaseModel, ConfigDict + +from .loop import handle_turn +from .models import Message + + +app = FastAPI(title="Sénia") + + +class ChatMessage(BaseModel): + role: str + content: str + + +class ChatCompletionRequest(BaseModel): + model_config = ConfigDict(extra="allow") + model: str + messages: list[ChatMessage] + + +@app.get("/v1/models") +def list_models(): + return { + "object": "list", + "data": [{"id": "senia", "object": "model", "owned_by": "local"}], + } + + +@app.post("/v1/chat/completions") +def chat_completions(req: ChatCompletionRequest): + try: + response_text = handle_turn( + messages=[Message(role=m.role, content=m.content) for m in req.messages], + ) + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + return { + "id": "chat-1", + "object": "chat.completion", + "model": req.model, + "choices": [ + { + "index": 0, + "message": {"role": "assistant", "content": response_text}, + "finish_reason": "stop", + } + ], + } diff --git a/agent/orchestrator/context.py b/agent/orchestrator/context.py new file mode 100644 index 0000000..f8679ff --- /dev/null +++ b/agent/orchestrator/context.py @@ -0,0 +1,42 @@ +"""Builds the dynamic per-turn context. + +This handles things that change per turn: the current time, today's diary +entries, open tasks. Persona is NOT here; that's a backend configuration +concern (see models/claude_code.py docstring). +""" + +import sqlite3 +from datetime import datetime, timezone +from pathlib import Path + + +SENIA_DB = Path("/etc/senia/data/senia.db") + + +def _today_diary_entries() -> list[str]: + if not SENIA_DB.exists(): + return [] + now = datetime.now(timezone.utc).astimezone() + start = now.replace(hour=0, minute=0, second=0, microsecond=0).isoformat() + conn = sqlite3.connect(SENIA_DB) + try: + return [ + f"- {row[0]} - {row[1]}" + for row in conn.execute( + "SELECT ts, content FROM diary_logs WHERE ts >= ? ORDER BY ts", + (start,), + ).fetchall() + ] + finally: + conn.close() + + +def build_turn_context() -> str: + diary = _today_diary_entries() + diary_section = ( + "## Today's diary so far\n\n" + "\n".join(diary) + if diary + else "## Today's diary so far\n\n(no entries yet today)" + ) + now = datetime.now(timezone.utc).astimezone().isoformat(timespec="seconds") + return f"## Current time\n\n{now}\n\n{diary_section}" diff --git a/agent/orchestrator/loop.py b/agent/orchestrator/loop.py new file mode 100644 index 0000000..ed2c0a8 --- /dev/null +++ b/agent/orchestrator/loop.py @@ -0,0 +1,18 @@ +"""Per-turn orchestration. + +A turn is: gather dynamic context, hand the conversation to the backend, return +the response. As capabilities grow (memory recall, routing per intent, channel +adapters) they hang off this function. +""" + +from .context import build_turn_context +from .models import Message, ModelRequest, call_model + + +def handle_turn(messages: list[Message]) -> str: + request = ModelRequest( + messages=messages, + turn_context=build_turn_context(), + ) + response = call_model(request) + return response.content diff --git a/agent/orchestrator/models/__init__.py b/agent/orchestrator/models/__init__.py new file mode 100644 index 0000000..10b2b5a --- /dev/null +++ b/agent/orchestrator/models/__init__.py @@ -0,0 +1,24 @@ +"""The public surface for model invocation. + +Other modules import `call_model` and use it without knowing which backend is +configured. Switching backends means changing one assignment here. +""" + +from .base import Message, ModelBackend, ModelRequest, ModelResponse +from .claude_code import ClaudeCodeBackend + +_backend: ModelBackend = ClaudeCodeBackend() + + +def call_model(request: ModelRequest) -> ModelResponse: + """Invoke the configured model backend.""" + return _backend.call(request) + + +__all__ = [ + "Message", + "ModelBackend", + "ModelRequest", + "ModelResponse", + "call_model", +] diff --git a/agent/orchestrator/models/base.py b/agent/orchestrator/models/base.py new file mode 100644 index 0000000..4ca1988 --- /dev/null +++ b/agent/orchestrator/models/base.py @@ -0,0 +1,44 @@ +"""Backend-agnostic model interface. + +Concrete backends (Claude Code, Ollama, Anthropic API direct, OpenCode, etc.) +implement `ModelBackend.call`. The orchestration code only ever talks to this +interface, never to a specific backend. + +Persona is NOT carried in ModelRequest; that's a backend-level configuration +concern (some backends autodiscover persona from a workspace, others need to +be told). What flows through here is per-turn DYNAMIC context only. +""" + +from abc import ABC, abstractmethod +from dataclasses import dataclass, field +from typing import Literal + + +Role = Literal["system", "user", "assistant", "tool"] + + +@dataclass +class Message: + role: Role + content: str + + +@dataclass +class ModelRequest: + """Everything a backend needs to produce one response.""" + messages: list[Message] + turn_context: str | None = None + extras: dict = field(default_factory=dict) + + +@dataclass +class ModelResponse: + """What a backend returns. Kept narrow now, extended later.""" + content: str + extras: dict = field(default_factory=dict) + + +class ModelBackend(ABC): + @abstractmethod + def call(self, request: ModelRequest) -> ModelResponse: + ... diff --git a/agent/orchestrator/models/claude_code.py b/agent/orchestrator/models/claude_code.py new file mode 100644 index 0000000..c73df98 --- /dev/null +++ b/agent/orchestrator/models/claude_code.py @@ -0,0 +1,68 @@ +"""Claude Code backend. + +Shells out to `claude -p` for non-interactive turns. Claude Code handles its +own persona discovery (CLAUDE.md / SOUL.md from the workspace) and its own MCP +tool dispatch internally; this backend just formats the prompt and parses +the response. +""" + +import os +import subprocess +from pathlib import Path + +from .base import ModelBackend, ModelRequest, ModelResponse + + +_ROLE_LABELS = { + "user": "User", + "assistant": "Assistant", + "tool": "Tool", + "system": "System", +} + + +class ClaudeCodeBackend(ModelBackend): + def __init__( + self, + workspace: Path = Path(os.environ.get("SENIA_WORKSPACE", "/workspace")), + timeout: int = 300, + allowed_tools: str = "mcp__senia__*", + ): + self.workspace = workspace + self.timeout = timeout + self.allowed_tools = allowed_tools + + def call(self, request: ModelRequest) -> ModelResponse: + prompt = self._format_prompt(request) + result = subprocess.run( + [ + "claude", "-p", prompt, + "--output-format", "text", + "--allowedTools", self.allowed_tools, + ], + cwd=self.workspace, + capture_output=True, + text=True, + timeout=self.timeout, + ) + if result.returncode != 0: + raise RuntimeError( + f"claude exited {result.returncode}: {result.stderr.strip()}" + ) + return ModelResponse(content=result.stdout.strip()) + + def _format_prompt(self, request: ModelRequest) -> str: + """Flatten messages + dynamic context into a single prompt string. + + Claude Code's -p mode takes one big prompt, not a structured + conversation. We render the conversation as a readable transcript with + the per-turn context prepended. Persona is NOT here; Claude Code + finds it in the workspace itself. + """ + parts = [] + if request.turn_context: + parts.append(f"## Context for this turn\n\n{request.turn_context}\n") + for msg in request.messages: + parts.append(f"## {_ROLE_LABELS[msg.role]}\n\n{msg.content}\n") + parts.append("## Assistant\n\n") + return "\n".join(parts) diff --git a/agent/pyproject.toml b/agent/pyproject.toml new file mode 100644 index 0000000..7262c04 --- /dev/null +++ b/agent/pyproject.toml @@ -0,0 +1,24 @@ +[project] +name = "senia-agent" +version = "0.1.0" +description = "Custom orchestration loop for the Sénia personal AI butler" +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "fastapi>=0.110", + "uvicorn[standard]>=0.27", + "pydantic>=2.0", +] + +[dependency-groups] +dev = [ + "pytest>=7.0", + "httpx>=0.25", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["orchestrator"] diff --git 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