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Domain-agnostic LLM orchestration engine built on LangGraph

Project description

alfredagain

Domain-agnostic LLM orchestration engine built on LangGraph.

Alfred is a multi-agent assistant framework. You implement a DomainConfig to teach it your domain — entities, subdomains, prompts, database adapter — and Alfred handles the orchestration: routing, planning, CRUD execution, entity tracking, prompt assembly, and conversation memory.

Install

pip install alfredagain

Quick Start

from alfred.domain.base import DomainConfig, EntityDefinition, SubdomainDefinition
from alfred.domain import register_domain

class MyDomain(DomainConfig):
    @property
    def name(self) -> str:
        return "mydomain"

    @property
    def entities(self) -> dict[str, EntityDefinition]:
        # Define your entities...
        ...

    @property
    def subdomains(self) -> dict[str, SubdomainDefinition]:
        # Define your subdomains...
        ...

    # Implement remaining abstract methods...

# Register and run
register_domain(MyDomain())

from alfred.graph.workflow import run_alfred
response, conversation = await run_alfred(
    user_message="Hello!",
    user_id="user_1",
)

What Alfred Provides

  • Pipeline orchestration — Understand → Think → Act → Reply, with LangGraph state management
  • Entity tracking — SessionIdRegistry translates UUIDs to simple refs (recipe_1, item_2)
  • CRUD execution — Schema-driven database operations with middleware hooks
  • Prompt assembly — Domain-provided personas, examples, and context injection
  • Conversation memory — Turn summarization, context windowing, session persistence
  • Model routing — Complexity-based model selection (mini for simple, full for complex)
  • Streaming — 11 typed events for real-time UI updates

Architecture

Core is fully domain-agnostic. It never imports any domain package. Domains implement DomainConfig (66 methods — 23 abstract, 43 with defaults) and call register_domain().

See docs/architecture/ for detailed documentation:

  • overview.md — Architecture index + pipeline diagram
  • domain-implementation-guide.md — How to build a new domain
  • core-public-api.md — Entry points, extension protocols

Development

git clone https://github.com/YOUR_USERNAME/alfred-core.git
cd alfred-core
python -m venv .venv
.venv\Scripts\activate  # Windows
pip install -e ".[dev]"
pytest tests/ -v

License

MIT

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