quartermaster-sdk 0.1.6

Quartermaster — modular AI agent orchestration framework. Install this to get all packages.

Quartermaster SDK

Modular AI agent orchestration framework by MindMade.

Quartermaster lets you build AI agent workflows as directed graphs — define nodes (LLM calls, decisions, user input, tools), connect them with edges, and execute them with a pluggable engine.

Quick Install

# Core framework (graph + providers + tools + nodes + engine)
pip install quartermaster-sdk

# With OpenAI
pip install quartermaster-sdk[openai]

# With everything (all providers, all tools, MCP client, code runner)
pip install quartermaster-sdk[all]

Quick Start (local Ollama, zero config)

ollama pull gemma4:26b      # or any model you've pulled

from quartermaster_sdk import Graph, FlowRunner, register_local

provider_registry = register_local(
    "ollama",
    base_url="http://localhost:11434",   # or set $OLLAMA_HOST
    default_model="gemma4:26b",
)

graph = Graph("chat").start().user().agent().end().build()
runner = FlowRunner(graph=graph, provider_registry=provider_registry)
result = runner.run("Pozdravljen, koliko je ura?")
print(result.final_output)

Quick Start (cloud provider)

from quartermaster_sdk import Graph

agent = (
    Graph("My Agent")
    .start()
    .user("What can I help you with?")
    .instruction("Respond", model="gpt-4o", system_instruction="You are a helpful assistant.")
    .end()
)

Sync chat shim (no graph needed)

For one-shot LLM calls from sync code (Celery workers, Django views, CLI scripts) — no asgiref.async_to_sync wrapper required:

from quartermaster_providers.providers.local import OllamaProvider

provider = OllamaProvider(default_model="gemma4:26b")
result = provider.chat(
    messages=[{"role": "user", "content": "Pozdravljen!"}],
    max_output_tokens=128,
    thinking_level="off",
)
print(result.content)        # promoted from `reasoning` if `content` is empty
print(result.usage)          # {prompt_tokens, completion_tokens, total_tokens}

Packages

Package	Description
quartermaster-graph	Graph schema, builder API, validation
quartermaster-providers	LLM provider abstraction (OpenAI, Anthropic, Google, Groq, local)
quartermaster-tools	Tool definition, registry, built-in tools
quartermaster-nodes	Node execution protocols and implementations
quartermaster-engine	Flow execution, traversal, memory, streaming
quartermaster-mcp-client	MCP protocol client (standalone)
quartermaster-code-runner	Docker sandboxed code execution (standalone)

Documentation

See the docs/ directory:

• Getting Started
• Graph Building
• Architecture
• Tools Catalog
• Providers
• Security

License

Apache 2.0