pyproject.toml

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"

[project]
name = "agentcontextos"
version = "0.1.0"
description = "Official Python SDK for the AgentContextOS RAG gateway"
readme = "README.md"
requires-python = ">=3.12"
license = { text = "Apache-2.0" }
keywords = ["rag", "retrieval", "agent", "llm", "agentcontextos"]
dependencies = [
    "httpx>=0.27",
    # Wire models are owned by rag-core (the gateway serialises them
    # one-for-one), so the SDK reuses them rather than redefining the shapes.
    "rag-core>=0.1.0",
]

[project.optional-dependencies]
# gRPC transport — only needed for the agentcontextos.grpc client.  The REST
# client (the default) has no grpcio dependency.
grpc = [
    "grpcio>=1.66",
    "protobuf>=5.27",
]

# Framework adapters (Step 3.8) — agentcontextos.integrations.<framework>.
# Each pulls in only the lightweight *core* of its framework; the adapter code
# lazy-imports it, so the base SDK install carries none of these.
langchain = ["langchain-core>=0.3"]
llama-index = ["llama-index-core>=0.11"]
haystack = ["haystack-ai>=2.0"]
dspy = ["dspy>=2.5"]
langgraph = ["langgraph>=0.2", "langchain-core>=0.3"]
crewai = ["crewai>=0.40"]
autogen = ["autogen-agentchat>=0.2"]
semantic-kernel = ["semantic-kernel>=1.0"]

[tool.uv.sources]
rag-core = { workspace = true }

[tool.hatch.build.targets.wheel]
packages = ["src/agentcontextos"]

[tool.hatch.metadata]
allow-direct-references = true