forked from Rockachopa/Timmy-time-dashboard
selenium depends on websocket-client which installs a top-level `websocket` package that shadows our src/websocket/ module on CI. Renaming to ws_manager eliminates the conflict entirely — no more sys.path hacks needed in conftest or Selenium tests. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
264 lines
8.4 KiB
Markdown
264 lines
8.4 KiB
Markdown
# Timmy Time — Mission Control
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[](https://github.com/AlexanderWhitestone/Timmy-time-dashboard/actions/workflows/tests.yml)
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A local-first, sovereign AI agent system. Talk to Timmy, watch his swarm, gate API access with Bitcoin Lightning — all from a browser, no cloud AI required.
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**[Live Docs →](https://alexanderwhitestone.github.io/Timmy-time-dashboard/)**
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---
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## What's built
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| Subsystem | Description |
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|-----------|-------------|
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| **Timmy Agent** | Agno-powered agent (Ollama default, AirLLM optional for 70B/405B) |
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| **Mission Control** | FastAPI + HTMX dashboard — chat, health, swarm, marketplace |
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| **Swarm** | Multi-agent coordinator — spawn agents, post tasks, run Lightning auctions |
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| **L402 / Lightning** | Bitcoin Lightning payment gating for API access (mock backend; LND scaffolded) |
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| **Spark Intelligence** | Event capture, predictions, memory consolidation, advisory engine |
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| **Creative Studio** | Multi-persona creative pipeline — image, music, video generation |
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| **Tools** | Git, image, music, and video tools accessible by persona agents |
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| **Voice** | NLU intent detection + TTS (pyttsx3, no cloud) |
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| **WebSocket** | Real-time swarm live feed |
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| **Mobile** | Responsive layout with full iOS safe-area and touch support |
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| **Telegram** | Bridge Telegram messages to Timmy |
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| **CLI** | `timmy`, `timmy-serve`, `self-tdd` entry points |
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**Full test suite, 100% passing.**
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---
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## Prerequisites
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**Python 3.11+**
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```bash
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python3 --version # must be 3.11+
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```
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If not: `brew install python@3.11`
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**Ollama** — runs the local LLM
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```bash
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brew install ollama
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# or download from https://ollama.com
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```
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---
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## Quickstart
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```bash
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# 1. Clone
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git clone https://github.com/AlexanderWhitestone/Timmy-time-dashboard.git
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cd Timmy-time-dashboard
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# 2. Install
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make install
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# or manually: python3 -m venv .venv && source .venv/bin/activate && pip install -e ".[dev]"
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# 3. Start Ollama (separate terminal)
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ollama serve
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ollama pull llama3.2
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# 4. Launch dashboard
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make dev
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# opens at http://localhost:8000
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```
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---
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## Common commands
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```bash
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make test # run all tests (no Ollama needed)
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make test-cov # test + coverage report
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make dev # start dashboard (http://localhost:8000)
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make watch # self-TDD watchdog (60s poll, alerts on regressions)
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```
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Or with the bootstrap script (creates venv, tests, watchdog, server in one shot):
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```bash
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bash activate_self_tdd.sh
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bash activate_self_tdd.sh --big-brain # also installs AirLLM
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```
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---
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## CLI
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```bash
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timmy chat "What is sovereignty?"
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timmy think "Bitcoin and self-custody"
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timmy status
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timmy-serve start # L402-gated API server (port 8402)
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timmy-serve invoice # generate a Lightning invoice
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timmy-serve status
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```
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---
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## Mobile access
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The dashboard is fully mobile-optimized (iOS safe area, 44px touch targets, 16px
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input to prevent zoom, momentum scroll).
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```bash
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# Bind to your local network
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uvicorn dashboard.app:app --host 0.0.0.0 --port 8000 --reload
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# Find your IP
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ipconfig getifaddr en0 # Wi-Fi on macOS
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```
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Open `http://<your-ip>:8000` on your phone (same Wi-Fi network).
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Mobile-specific routes:
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- `/mobile` — single-column optimized layout
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- `/mobile-test` — 21-scenario HITL test harness (layout, touch, scroll, notch)
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---
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## AirLLM — big brain backend
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Run 70B or 405B models locally with no GPU, using AirLLM's layer-by-layer loading.
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Apple Silicon uses MLX automatically.
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```bash
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pip install ".[bigbrain]"
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pip install "airllm[mlx]" # Apple Silicon only
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timmy chat "Explain self-custody" --backend airllm --model-size 70b
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```
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Or set once in `.env`:
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```bash
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TIMMY_MODEL_BACKEND=auto
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AIRLLM_MODEL_SIZE=70b
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```
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| Flag | Parameters | RAM needed |
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|-------|-------------|------------|
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| `8b` | 8 billion | ~16 GB |
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| `70b` | 70 billion | ~140 GB |
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| `405b`| 405 billion | ~810 GB |
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---
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## Configuration
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```bash
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cp .env.example .env
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# edit .env
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```
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| Variable | Default | Purpose |
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|----------|---------|---------|
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| `OLLAMA_URL` | `http://localhost:11434` | Ollama host |
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| `OLLAMA_MODEL` | `llama3.2` | Model served by Ollama |
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| `DEBUG` | `false` | Enable `/docs` and `/redoc` |
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| `TIMMY_MODEL_BACKEND` | `ollama` | `ollama` \| `airllm` \| `auto` |
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| `AIRLLM_MODEL_SIZE` | `70b` | `8b` \| `70b` \| `405b` |
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| `L402_HMAC_SECRET` | *(default — change in prod)* | HMAC signing key for macaroons |
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| `L402_MACAROON_SECRET` | *(default — change in prod)* | Macaroon secret |
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| `LIGHTNING_BACKEND` | `mock` | `mock` (production-ready) \| `lnd` (scaffolded, not yet functional) |
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---
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## Architecture
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```
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Browser / Phone
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│ HTTP + HTMX + WebSocket
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▼
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┌─────────────────────────────────────────┐
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│ FastAPI (dashboard.app) │
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│ routes: agents, health, swarm, │
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│ marketplace, voice, mobile │
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└───┬─────────────┬──────────┬────────────┘
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│ │ │
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▼ ▼ ▼
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Jinja2 Timmy Swarm
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Templates Agent Coordinator
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(HTMX) │ ├─ Registry (SQLite)
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├─ Ollama ├─ AuctionManager (L402 bids)
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└─ AirLLM ├─ SwarmComms (Redis / in-memory)
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└─ SwarmManager (subprocess)
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│
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├── Voice NLU + TTS (pyttsx3, local)
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├── WebSocket live feed (ws_manager)
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├── L402 Lightning proxy (macaroon + invoice)
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├── Push notifications (local + macOS native)
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└── Siri Shortcuts API endpoints
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Persistence: timmy.db (Agno memory), data/swarm.db (registry + tasks)
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External: Ollama :11434, optional Redis, optional LND gRPC
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```
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---
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## Project layout
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```
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src/
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config.py # pydantic-settings — all env vars live here
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timmy/ # Core agent (agent.py, backends.py, cli.py, prompts.py)
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dashboard/ # FastAPI app, routes, Jinja2 templates
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swarm/ # Multi-agent: coordinator, registry, bidder, tasks, comms
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timmy_serve/ # L402 proxy, payment handler, TTS, serve CLI
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spark/ # Intelligence engine — events, predictions, advisory
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creative/ # Creative director + video assembler pipeline
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tools/ # Git, image, music, video tools for persona agents
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lightning/ # Lightning backend abstraction (mock + LND)
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agent_core/ # Substrate-agnostic agent interface
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voice/ # NLU intent detection
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ws_manager/ # WebSocket connection manager
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notifications/ # Push notification store
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shortcuts/ # Siri Shortcuts endpoints
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telegram_bot/ # Telegram bridge
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self_tdd/ # Continuous test watchdog
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tests/ # one test file per module, all mocked
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static/style.css # Dark mission-control theme (JetBrains Mono)
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docs/ # GitHub Pages landing page
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AGENTS.md # AI agent development standards ← read this
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.env.example # Environment variable reference
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Makefile # Common dev commands
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```
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---
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## Troubleshooting
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**`ollama: command not found`** — install from `brew install ollama` or ollama.com
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**`connection refused` in chat** — run `ollama serve` in a separate terminal
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**`ModuleNotFoundError: No module named 'sqlalchemy'`** — re-run install to pick up the updated `agno[sqlite]` dependency:
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`make install`
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**`ModuleNotFoundError: No module named 'dashboard'`** — activate the venv:
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`source .venv/bin/activate && pip install -e ".[dev]"`
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**Health panel shows DOWN** — Ollama isn't running; chat still works but returns
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the offline error message
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**L402 startup warnings** — set `L402_HMAC_SECRET` and `L402_MACAROON_SECRET` in
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`.env` to silence them (required for production)
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---
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## For AI agents contributing to this repo
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Read [`AGENTS.md`](AGENTS.md). It covers per-agent assignments, architecture
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patterns, coding conventions, and the v2→v3 roadmap.
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---
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## Roadmap
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| Version | Name | Status | Milestone |
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| 1.0.0 | Genesis | ✅ Complete | Agno + Ollama + SQLite + Dashboard |
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| 2.0.0 | Exodus | 🔄 In progress | Swarm + L402 + Voice + Marketplace |
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| 3.0.0 | Revelation | 📋 Planned | Lightning treasury + single `.app` bundle |
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