Skip to main content

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/jv92admin/alfred-core.git
cd alfred-core
python -m venv .venv
.venv\Scripts\activate  # Windows
pip install -e ".[dev]"
pytest tests/ -v

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

alfredagain-2.1.2.tar.gz (250.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

alfredagain-2.1.2-py3-none-any.whl (191.4 kB view details)

Uploaded Python 3

File details

Details for the file alfredagain-2.1.2.tar.gz.

File metadata

  • Download URL: alfredagain-2.1.2.tar.gz
  • Upload date:
  • Size: 250.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for alfredagain-2.1.2.tar.gz
Algorithm Hash digest
SHA256 2cccbe1c85c7b1abcb5468285380c2fd6f0052ba5056d869c4fedb61e21df753
MD5 4d078d97f2c6bc93a207279f6d933513
BLAKE2b-256 73263f7c57fed036627d848b36b4f27ff208a625bf7205f86aa1b2d8fb658fb2

See more details on using hashes here.

File details

Details for the file alfredagain-2.1.2-py3-none-any.whl.

File metadata

  • Download URL: alfredagain-2.1.2-py3-none-any.whl
  • Upload date:
  • Size: 191.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for alfredagain-2.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 fb5588c30e0bee5c1cc6f6759ac3b26f05f62cbff3dac217c30329136a33847a
MD5 4f08fd8abb8c01a1b2c7ab7e5e2d1795
BLAKE2b-256 89ce3d7e9c803c52b6f656d755c6590855b90767f546d9a5ded05fa12ed01359

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page