`fabricatio-core`

MIT Python Versions

Foundational Python library for building LLM-driven applications using an event-based agent architecture. Built on a hybrid Rust/Python foundation for performance-critical operations.

Requires Python 3.12+.

Installation

pip install fabricatio
# or
uv pip install fabricatio

For all optional extras:

pip install fabricatio[full]

Key Components

Event System (`Event`, `EventEmitter`)

Segmented event type with task-status lifecycle methods (push_running, push_finished, etc.) and glob-wildcard (*) matching. The global EventEmitter dispatches events asynchronously with on/off/emit.

from fabricatio_core.emitter import EMITTER
from fabricatio_core.rust import Event

EMITTER.on("task::*::finished", my_handler)

LLM Routing (`Router`, `RouterUsage`)

Multi-provider router for completion, embedding, and reranking. RouterUsage provides structured LLM interaction patterns — ask, list strings, code generation, judging, choosing — with configurable validation and fallback defaults.

from fabricatio_core.rust import ROUTER, router_usage

response = await ROUTER.completion(send_to="default", message="Hello")
result = await router_usage.choosing("Pick two items", valid_names=["a", "b", "c"], k=2)

Task Model (`Task`)

Pydantic-based task with lifecycle status management (Pending, Running, Finished, Failed, Cancelled), dependency tracking, structured proposal generation from prompts, and automatic event emission on state transitions.

task = Task(name="data_ingestion", description="Ingest raw data")
task.start()
# ... execute ...
task.finish(output={"rows": 1042})

Workflow Engine (`Action`, `WorkFlow`)

Abstract action pipeline with shared context propagation. WorkFlow orchestrates sequences of Action instances, managing input/output keys, error handling, and task lifecycle.

class ParseData(Action):
    async def _execute(self, **cxt):
        return parse(cxt["task_input"])

wf = WorkFlow(actions=[ParseData().to_task_output()], name="parse_pipeline")
await wf.execute(task)

Role Framework (`Role`)

Agent roles map event patterns to workflows. Global registry supports register_role / get_registered_role. Roles dispatch workflows automatically when matching events are emitted.

from fabricatio_core.models.role import Role, register_role

analyst = Role(name="analyst", description="Data analysis agent")
analyst.deploy_on("data::ingested", parse_wf)
register_role(analyst)

Template Rendering (`TemplateManager`)

Handlebars-based template engine. Load templates from directories, render with structured data.

from fabricatio_core.rust import TEMPLATE_MANAGER

TEMPLATE_MANAGER.add_store("./templates").discover_templates()
output = TEMPLATE_MANAGER.render_template("greeting", {"name": "World"})

Capability Mixins (`UseLLM`, `UseEmbedding`, `UseReranker`, `Propose`)

Inheritable classes that add LLM querying, embedding generation, reranking, and structured proposal capabilities to any model. All integrate with the Router for provider dispatch.

class MyAgent(UseLLM, UseEmbedding, Propose, WithBriefing):
    pass

agent = MyAgent(name="helper")
answer = await agent.aask(question="What is 2+2?")
obj = await agent.propose(MyModel, prompt="Create a config object")

Text Parsing & Language Utilities (Rust)

Fast Rust-backed functions for text processing:

split_sentence_bounds / split_word_bounds — Unicode-aware text splitting
split_into_chunks — chunk text with configurable overlap
tokens_of / word_count — token and word counting
blake3_hash — BLAKE3 content hashing
detect_language — language detection
is_english, is_chinese, is_japanese, etc. — language checks
is_likely_text — file content type detection
CodeSnippetParser, CodeBlockParser, GenericBlockParser, JsonParser — structured block extraction from LLM outputs

Base Model Hierarchy (`models.generic`)

Pydantic-based abstract base classes for consistent model design: Named, Described, WithBriefing, WithDependency, ScopedConfig (with hierarchical fallback), ProposedAble, InstantiateFromString, Display, and more.

Decorators

cfg_on / cfg_on_async — feature-gated function execution
depend_on_external_cmd — check external binary availability
logging_execution_info / logging_exec_time — execution logging
once — ensure single invocation

Configuration (`Config`)

Structured configuration with sub-sections for LLM, embedding, reranking, emitter, routing, templates, debug, and deployment settings. Accessible via fabricatio_core.rust.CONFIG.

Package Structure

fabricatio-core/
├── python/fabricatio_core/
│   ├── capabilities/      - LLM, embedding, reranker, and proposal mixins
│   ├── models/            - Action, Role, Task, generic base models, kwargs types
│   ├── rust/              - PyO3 Rust extension (autogenerated stubs)
│   ├── decorators.py      - cfg_on, once, logging_exec_time, etc.
│   ├── emitter.py         - EventEmitter with wildcard pattern matching
│   ├── journal.py         - Logger bridge to Rust logger
│   ├── utils.py           - ok, cfg, override_kwargs, first_available, etc.
│   └── __init__.py        - Public API surface
├── src/                   - Rust sources (parser, templates, event, language, etc.)
└── pyproject.toml

License

MIT — see LICENSE

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