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[project]
name = "laddr"
dynamic = ["version"]
description = "Laddr is a framework to build, run, and scale multi-agent systems that communicate, delegate, and execute tasks in parallel. Each agent can run multiple workers, powered by a queue-based delegation system that ensures horizontal scalability and resilience."
readme = "README.md"
authors = [
{ name = "Laddr Team", email = "nishant@agnetlabs.com" }
]
requires-python = ">=3.10, <3.14"
dependencies = [
# Core runtime
"pydantic>=2.11.9",
"requests>=2.31.0",
# FastAPI and Web
"fastapi>=0.115.0",
"uvicorn[standard]>=0.32.0",
# Message Queue - Redis
"redis>=5.0.0",
# Database
"sqlalchemy>=2.0.0",
# CLI
"click>=8.1.7",
"rich>=13.7.0",
"pyyaml>=6.0.1",
"jinja2>=3.1.0",
# Config
"python-dotenv>=1.1.1",
"pydantic-settings>=2.10.1",
]
[project.urls]
Homepage = "https://laddr.dev"
Documentation = "https://docs.laddr.dev"
Repository = "https://github.com/laddr/laddr"
[project.optional-dependencies]
# LLM Provider extras
openai = ["openai>=1.13.3"]
anthropic = ["anthropic>=0.34.0"]
gemini = ["google-generativeai>=0.8.0"]
groq = ["groq>=0.11.0"]
all-llms = ["openai>=1.13.3", "anthropic>=0.34.0", "google-generativeai>=0.8.0", "groq>=0.11.0"]
# Database extras
postgres = ["psycopg2-binary>=2.9.0"]
mysql = ["pymysql>=1.1.0"]
all-dbs = ["psycopg2-binary>=2.9.0", "pymysql>=1.1.0"]
# Storage extras
s3 = ["boto3>=1.34.0"]
minio = ["minio>=7.2.0"]
all-storage = ["boto3>=1.34.0", "minio>=7.2.0"]
# Message Queue extras
kafka = ["aiokafka>=0.11.0"]
all-queues = ["aiokafka>=0.11.0", "aio-pika>=9.4.0"]
# Combined extras
all = [
"openai>=1.13.3",
"anthropic>=0.34.0",
"google-generativeai>=0.8.0",
"groq>=0.11.0",
"psycopg2-binary>=2.9.0",
"pymysql>=1.1.0",
"boto3>=1.34.0",
"minio>=7.2.0",
"aiokafka>=0.11.0",
"aio-pika>=9.4.0",
]
dev = [
"pytest>=8.0.0",
"pytest-asyncio>=0.23.0",
"black>=24.0.0",
"ruff>=0.5.0",
"mypy>=1.11.0",
]
[project.scripts]
laddr = "laddr.cli.main:cli"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.version]
path = "src/laddr/__init__.py"
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