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-2.5.0.tar.gz (306.1 kB view details)

Uploaded Source

Built Distribution

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

alfredagain-2.5.0-py3-none-any.whl (194.8 kB view details)

Uploaded Python 3

File details

Details for the file alfredagain-2.5.0.tar.gz.

File metadata

  • Download URL: alfredagain-2.5.0.tar.gz
  • Upload date:
  • Size: 306.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for alfredagain-2.5.0.tar.gz
Algorithm Hash digest
SHA256 4d6900f1fb174ba06ee455ca6dc422d1d85836449c48b852c41d0da6c6d850b9
MD5 724ac75e9f61495c33c4e13d5ffa9fd7
BLAKE2b-256 6ec445f8f361b6e8f4483937af79314b09c59df6f91415dac281efd0673a1633

See more details on using hashes here.

File details

Details for the file alfredagain-2.5.0-py3-none-any.whl.

File metadata

  • Download URL: alfredagain-2.5.0-py3-none-any.whl
  • Upload date:
  • Size: 194.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for alfredagain-2.5.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1030181c0b52190f96afb2faefb4deddca62973e01e03575b91c171d994ba81c
MD5 36d9965fef7ff12c9f41c124ed4ef7be
BLAKE2b-256 dccc61ca6925162527a158d7fad19bc6931601659149728478c26e61eee777e8

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