# mentor

Work agents for Daedalus — powered by [Pallas](https://git.helu.ca/r/pallas).

Mentor is a pure agent project: Python agent definitions + YAML configuration.
The runtime (serving, registry, health checks, multimodal support) lives in Pallas.

## Architecture

```
Daedalus Backend — FastAPI
    │  MCP over StreamableHTTP
    ▼
Pallas MCP Bridge (pallas.server:main)
    │  reads agents.yaml for topology
    │  reads fastagent.config.yaml for LLM + model capabilities
    │
    ├── Registry    → /.well-known/mcp/server.json (agent discovery)
    ├── Jarvis      → kernos, rommie, argos, neo4j_cypher, athena, time
    ├── Jeffrey     → neo4j_cypher, athena, research, time
    ├── Ann         → research, argos, neo4j_cypher, athena, angelia, time
    ├── Alan        → research, argos, athena, neo4j_cypher, time
    ├── AWS SA      → aws_knowledge, aws_docs, aws_pricing, argos, context7
    ├── Research    → argos, neo4j_cypher
    └── Tech Research → context7, github, argos
```

## Project Structure

```
.
├── agents.yaml              # Deployment topology — agents, ports, host, namespace
├── fastagent.config.yaml    # LLM provider, MCP servers, model capabilities (committed)
├── fastagent.secrets.yaml   # API keys and tokens (gitignored — never commit)
├── agents/                  # Agent definitions (FastAgent @fast.agent decorators)
│   ├── jarvis.py
│   ├── jeffrey.py
│   ├── ann.py
│   ├── alan.py
│   ├── aws_sa.py
│   ├── research.py
│   └── tech_research.py
├── systemd/
│   └── mentor.service
├── pyproject.toml
└── .env.example
```

## Configuration

### `agents.yaml` — Deployment Topology

Single source of truth for agent names, ports, dependencies, host, and namespace.
Read by Pallas at startup.

```yaml
name: mentor
version: "1.0.0"
host: puck.incus
namespace: ca.helu.mentor
registry_port: 24200

agents:
  jarvis:
    module: agents.jarvis
    port: 24201
    title: Jarvis
    description: "Work execution assistant — task management, meetings, daily operations"
    depends_on: [research]
  # ...
```

To deploy a different agent group, swap `agents.yaml` — no code changes needed.
Override the config path with `PALLAS_AGENTS_CONFIG` env var.

### `fastagent.config.yaml` — LLM + Model Capabilities

Committed to the repo. Contains LLM provider settings and explicit model capability
declarations.

```yaml
default_model: openai.global.anthropic.claude-opus-4-6-v1

model_capabilities:
  vision: false
  context_window: 200000
  max_output_tokens: 32000
```

The `model_capabilities` section declares capabilities explicitly rather than
inferring from the model name. Exposed in the registry for Daedalus to use when
routing requests (e.g., vision-capable agents).

### `fastagent.secrets.yaml` — API Keys and Tokens

Gitignored — never commit. Place in the repo root alongside `fastagent.config.yaml`.

```yaml
openai:
  api_key: "your-key-here"

mcp:
  servers:
    angelia:
      headers:
        Authorization: "Bearer your-token"
    # ...
```

## Quickstart

### Prerequisites

- **Python 3.13+** (`fast-agent-mcp` pins `>=3.13`)
- **Node.js / npm** — for the `context7` stdio MCP server (`npx -y @upstash/context7-mcp`)
- **Docker** — for the `github` stdio MCP server
- **`uv` / `uvx`** at `/usr/local/bin/uvx` — required by the `aws_docs` and
  `aws_pricing` stdio MCP servers. fast-agent's stdio client sanitizes `PATH`
  before spawning subprocesses (via `mcp.client.stdio.get_default_environment()`),
  so `fastagent.config.yaml` references `uvx` by absolute path. Install
  system-wide — this matches the Ansible production deploy
  (`virgo/ansible/mentor/deploy.yml`) so dev and prod configs are identical:

  ```bash
  sudo sh -c 'curl -LsSf https://astral.sh/uv/install.sh | env UV_INSTALL_DIR=/usr/local/bin sh'
  ```

  Do **not** use the default per-user install (`~/.local/bin/uvx`) — the config
  will not find it at runtime under systemd or under pallas' sanitized PATH.

```bash
# 1. Install dependencies (Python 3.13 required)
source ~/env/mentor/bin/activate
pip install -e .

# 2. Configure secrets
cp fastagent.secrets.yaml.example fastagent.secrets.yaml
# Edit: set api_key and service tokens

# 3. Start all agents
mentor

# 4. Verify
curl http://localhost:24201/mcp

# 5. Start a single agent
mentor --agent jarvis
```

## Daedalus Integration

Daedalus connects to agents via the MCP Python SDK's `streamable_http_client`.

Registry endpoint: `http://<host>:<registry_port>/.well-known/mcp/server.json`

The registry includes model capabilities on each agent entry:

```json
{
  "capabilities": {
    "model": "global.anthropic.claude-opus-4-6-v1",
    "vision": false,
    "context_window": 200000,
    "max_output_tokens": 32000
  }
}
```

## Deployment (systemd)

```bash
# 1. Copy project to /srv/mentor
sudo cp -r . /srv/mentor
sudo chown -R mentor:mentor /srv/mentor

# 2. Install into venv
cd /srv/mentor
source ~/env/mentor/bin/activate
pip install -e .

# 3. Configure secrets
cp fastagent.secrets.yaml.example fastagent.secrets.yaml
# Fill in API keys and tokens

# 4. Install and start systemd service
sudo cp systemd/mentor.service /etc/systemd/system/
sudo systemctl daemon-reload
sudo systemctl enable --now mentor
sudo systemctl status mentor
```

## Downstream MCP Servers

| Server | Host | URL |
|--------|------|-----|
| argos | miranda.incus | `http://miranda.incus:25534/mcp` |
| neo4j_cypher | circe.helu.ca | `http://circe.helu.ca:22034/mcp` |
| kernos | caliban.incus | `http://caliban.incus:22021/mcp` |
| rommie | caliban.incus | `http://caliban.incus:22031/mcp` |
| gitea | miranda.incus | `http://miranda.incus:25535/mcp` |
| grafana | miranda.incus | `http://miranda.incus:25533/mcp` |
| angelia | ouranos.helu.ca | `https://ouranos.helu.ca/mcp/` |
| athena | ouranos.helu.ca | `https://athena.ouranos.helu.ca/mcp/` |
| kairos | ouranos.helu.ca | `https://kairos.ouranos.helu.ca/mcp/` |
| github | local (Docker stdio) | `ghcr.io/github/github-mcp-server` |
| context7 | local (stdio) | `npx -y @upstash/context7-mcp` |
| time | local (stdio) | `mcp-server-time` |
| aws_knowledge | knowledge-mcp.global.api.aws | `https://knowledge-mcp.global.api.aws` |
| aws_docs | local (stdio) | `uvx awslabs.aws-documentation-mcp-server@latest` |
| aws_pricing | local (stdio) | `uvx awslabs.aws-pricing-mcp-server@latest` |

## Notes

- **Python 3.13** required (`fast-agent-mcp` pins `>=3.13`)
- **Runtime:** [Pallas](https://git.helu.ca/r/pallas) — `pallas-mcp @ git+ssh://git@git.helu.ca:22022/r/pallas.git`
- **Transport:** StreamableHTTP (`/mcp`) throughout — not SSE
- **Logging:** Console output — stdout → syslog → Alloy → Loki in production
- **Port scheme:** registry at `registry_port`, agents at configured ports in `agents.yaml`