# kottos

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

Kottos 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)
    ├── Harper        → kernos_harper, gitea, argos, neo4j_cypher, grafana,
    │                   rommie, angelia, time, research, tech_research
    ├── Scotty        → kernos_scotty, argos, tech_research, neo4j_cypher, grafana, time
    ├── 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)
├── fastagent.secrets.yaml.example
├── agents/                  # Agent definitions (FastAgent @fast.agent decorators)
│   ├── harper.py
│   ├── scotty.py
│   ├── research.py
│   └── tech_research.py
├── docs/
│   └── pallas_integration.md
├── pyproject.toml
└── LICENSE
```

## Agents

| Agent | Port | MCP URL | Purpose |
|-------|------|---------|---------|
| Harper | 24101 | `http://puck.incus:24101/mcp` | Scrappy engineer — rapid prototyping, hacking, and creative problem-solving |
| Scotty | 24102 | `http://puck.incus:24102/mcp` | Systems administration — infrastructure diagnostics and security hardening |
| Research | 24150 | `http://puck.incus:24150/mcp` | Web search + knowledge graph chain |
| Tech Research | 24151 | `http://puck.incus:24151/mcp` | Technical investigation — library docs, code examples, API comparisons |
| Registry | 24100 | `http://puck.incus:24100/.well-known/mcp/server.json` | Agent discovery |

## Configuration

### `agents.yaml` — Deployment Topology

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

```yaml
name: kottos
version: "1.0.0"
host: puck.incus
namespace: ca.helu.kottos
registry_port: 24100

agents:
  harper:
    module: agents.harper
    port: 24101
    title: Harper
    description: "Scrappy engineer — rapid prototyping, hacking, and creative problem-solving"
    depends_on: [research, tech_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.

In Ansible-managed deployments this file is replaced by the
`fastagent.config.yaml.j2` template which renders environment-specific values
for model, MCP URLs, etc.

```yaml
default_model: openai.Qwen3.5-35B-A3B-UD-Q4_K_XL.gguf

model_capabilities:
  vision: false
  context_window: 192000
  max_output_tokens: 16384
```

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.

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

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

In Ansible-managed deployments this file is replaced by the
`fastagent.secrets.yaml.j2` template which renders secrets from OCI Vault.

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

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

## Quickstart

```bash
# 1. Install dependencies (Python 3.13 required)
source ~/env/kottos/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
kottos

# 4. Verify
curl http://localhost:24101/mcp

# 5. Start a single agent
kottos --agent harper
```

## Daedalus Integration

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

Registry endpoint: `http://puck.incus:24100/.well-known/mcp/server.json`

The registry includes model capabilities on each agent entry:

```json
{
  "capabilities": {
    "model": "Qwen3.5-35B-A3B-UD-Q4_K_XL.gguf",
    "vision": false,
    "context_window": 192000,
    "max_output_tokens": 16384
  }
}
```

## 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` |
| caliban | caliban.incus | `http://caliban.incus:22062/mcp` |
| rommie | caliban.incus | `http://caliban.incus:22061/mcp` |
| gitea | miranda.incus | `http://miranda.incus:25535/mcp` |
| grafana | miranda.incus | `http://miranda.incus:25533/mcp` |
| korax | korax.helu.ca | `http://korax.helu.ca:20261/mcp` |
| angelia | ouranos.helu.ca | `https://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` |

## 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
- **LLM:** OpenAI-compatible API at `http://nyx.helu.ca:22079/v1` (personal Qwen model)
- **Logging:** Console output — stdout → syslog → Alloy → Loki in production
- **Port scheme:** registry at 24100, agents 24101–24149, sub-agents 24150–24199