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Large Language Blocks - A context packaging format for LLMs

Project description

LLB (Large Language Blocks)

A context packaging format designed for LLMs.

Installation

pip install llb_doc

Quick Start

Flat Mode - Independent Blocks

from llb_doc import create_llb, parse_llb

doc = create_llb()

# Method 1: Fluent API with builder pattern
doc.block("ticket", lang="en").meta(source="jira", priority="high").content(
    "User cannot upload files larger than 10MB"
).add()

# Method 2: Context manager
with doc.block("api", "json") as b:
    b.meta["source"] = "storage_service"
    b.content = '{"max_size": 5242880, "unit": "bytes"}'

# Method 3: Direct add
doc.add_block("note", "Config mismatch detected", source="code_review", lang="en")

# Render to LLB format
print(doc.render())

# Parse LLB text back to document
doc2 = parse_llb(doc.render())

Output

@block B1 ticket en
source=jira
priority=high

User cannot upload files larger than 10MB

@end B1

@block B2 api json
source=storage_service

{"max_size": 5242880, "unit": "bytes"}

@end B2

@block B3 note en
source=code_review

Config mismatch detected

@end B3

Graph Mode - Connected Nodes

from llb_doc import create_graph

g = create_graph()

# Add nodes
python = g.add_node("concept", "Python", id_="python", category="language")
django = g.add_node("concept", "Django", id_="django", category="framework")
flask = g.add_node("concept", "Flask", id_="flask", category="framework")

# Add edges
g.add_edge("python", "django", "has_framework")
g.add_edge("python", "flask", "has_framework")

# Render with focus and radius
print(g.render(focus="python", radius=1))

Output

@ctx C1
focus=python
radius=1
strategy=bfs
tiers=0:python;1:django,flask
@end C1

@node django concept
category=framework
tier=1
in_edges=['python:has_framework']
out_edges=[]

Django

@end django

@node flask concept
category=framework
tier=1
in_edges=['python:has_framework']
out_edges=[]

Flask

@end flask

@edge E1 python django has_framework @end

@edge E2 python flask has_framework @end

@node python concept
category=language
tier=0
in_edges=[]
out_edges=['django:has_framework', 'flask:has_framework']

Python

@end python

Block Structure

Each block follows this structure:

@block <id> <type> [lang]
key1=value1
key2=value2

<content>

@end <id>

Features

Document Operations

doc = create_llb()
b1 = doc.add_block("task", "First task")
b2 = doc.add_block("task", "Second task")

# Check, get, remove blocks
doc.has_block(b1.id)        # True
doc.get_block(b1.id)        # Block object
doc.remove_block(b1.id)     # Remove and return block

# Reorder blocks
doc.move_block(b2.id, 0)    # Move to position
doc.swap_blocks(b1.id, b2.id)  # Swap positions

# Prefix and suffix
doc.prefix = "# Analysis Context"
doc.suffix = "# End"

Custom Meta Generators

Auto-generate metadata for blocks:

from llb_doc import create_llb, meta_generator, Block

@meta_generator("word_count")
def gen_word_count(block: Block) -> str:
    return str(len(block.content.split()))

doc = create_llb(generators=[gen_word_count])
doc.add_block("text", "Hello world!")
print(doc.render())
# word_count=2 will be auto-added

Custom Block Sorters

Sort blocks in custom order:

from llb_doc import create_llb, block_sorter, Block

@block_sorter("by_priority")
def sort_by_priority(blocks: list[Block]) -> list[Block]:
    order = {"high": 0, "medium": 1, "low": 2}
    return sorted(blocks, key=lambda b: order.get(b.meta.get("priority", ""), 99))

doc = create_llb(sorters=[sort_by_priority])
doc.add_block("task", "Task A", priority="low")
doc.add_block("task", "Task B", priority="high")
print(doc.render(order="by_priority"))

Graph Mode Features

g = create_graph()

# Builder pattern for nodes
g.node("person").id("p1").meta(name="Alice").content("Developer").add()

# Builder pattern for edges
g.edge("p1", "c1", "works_at").meta(since="2020").content("Full-time").add()

# Render with different sorting strategies
g.render(focus="p1", radius=2, order="focus_last")   # Default: focus at end
g.render(focus="p1", radius=2, order="focus_first")  # Focus at beginning
g.render(focus="p1", radius=2, order="tier_asc")     # By tier ascending
g.render(focus="p1", radius=2, order="tier_desc")    # By tier descending

# Render all nodes without focus
g.render()  # No @ctx block, shows all nodes and edges

API Reference

Main Functions

Function Description
create_llb() Create a new Document for flat mode
create_graph() Create a new GraphDocument for graph mode
parse_llb(text) Parse LLB format text into Document

Decorators

Decorator Description
@meta_generator(key) Register a metadata generator function
@block_sorter(name) Register a block sorter function

Classes

Class Description
Document Container for blocks in flat mode
GraphDocument Container for nodes, edges in graph mode
Block Basic block with type, lang, meta, content
Node Graph node (renders as @node)
Edge Graph edge (renders as @edge)
Ctx Graph context (renders as @ctx)

Demo

Run the demo script to see all features in action:

python demo.py

Roadmap

  • Flat Mode (independent blocks)
  • Custom meta generators
  • Custom block sorters
  • Graph Mode (@ctx, @node, @edge)
  • BFS tier computation with focus/radius
  • Preset graph sorters (focus_last, focus_first, tier_asc, tier_desc)
  • Parser support for graph mode

License

MIT

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