It is completely deployment-agnostic: all environment-specific values (agent names, ports, hosts, model) live in the calling project's agents.yaml and fastagent.config.yaml.

Installation

pip install git+ssh://git@git.helu.ca:22022/r/pallas.git

Or as a project dependency in pyproject.toml:

dependencies = [
    "pallas-mcp @ git+ssh://git@git.helu.ca:22022/r/pallas.git",
]

Usage

Pallas reads configuration from the working directory at runtime.

my-project/
├── agents/
│   ├── __init__.py
│   └── jarvis.py          # FastAgent definitions
├── agents.yaml            # Deployment topology
├── fastagent.config.yaml  # FastAgent + model config
└── fastagent.secrets.yaml # API keys (gitignored)

Run from your project root:

pallas                     # start all agents + registry
pallas --agent jarvis      # start a single agent

Or via python -m:

python -m pallas.server

`agents.yaml` format

name: my-project           # used in log prefixes and registry names
version: "1.0.0"
host: my-host.example.com  # hostname for registry URLs
namespace: com.example.my-project
registry_port: 8200

agents:
  jarvis:
    module: agents.jarvis  # importable Python module path
    port: 8201
    title: Jarvis
    description: "My assistant agent"
    depends_on: [research]  # optional: start these first

  research:
    module: agents.research
    port: 8250
    title: Research Agent
    description: "Web search and knowledge graph"

`fastagent.config.yaml` extensions

Pallas reads two extra keys beyond the standard fast-agent config:

default_model: openai.my-custom-model-name

# Explicit capability declarations — avoids brittle name-regex heuristics
model_capabilities:
  vision: false
  context_window: 200000
  max_output_tokens: 32000

Capabilities are published in the registry and used to register unknown models with fast-agent's ModelDatabase.

Environment variable

Variable	Default	Purpose
`PALLAS_AGENTS_CONFIG`	`agents.yaml`	Override path to deployment config

What Pallas provides

Module	Purpose
`pallas.server`	CLI entry point and agent orchestration
`pallas.registry`	`GET /.well-known/mcp/server.json` registry server
`pallas.multimodal_server`	`MultimodalAgentMCPServer` — `AgentMCPServer` subclass with image support
`pallas.health`	LLM preflight validation + `get_health` MCP tool

README.md

Pallas — FastAgent MCP Bridge