Skip to main content

SwarmKit runtime: topology interpreter, LangGraph compiler, AGT-backed governance, CLI and HTTP server.

Project description

swarmkit-runtime

Python runtime for SwarmKit. Interprets topology files, compiles them into LangGraph StateGraphs, enforces governance via the GovernanceProvider abstraction (AGT-backed in v1.0), and exposes the swarmkit CLI plus a persistent HTTP server.

Layout

src/swarmkit_runtime/
├── cli/                 # Typer-based CLI: init, author, run, serve, eject
├── topology/            # Topology loader, validator, resolver (archetype + skill refs)
├── skills/              # Skill registry, category-specific semantics, composition
├── archetypes/          # Archetype registry and instantiation
├── governance/          # GovernanceProvider interface + AGTGovernanceProvider impl
├── langgraph_compiler/  # Topology → StateGraph compilation (design §14.3)
├── mcp/                 # MCP client, server lifecycle, sandbox supervision
└── audit/               # Append-only audit log adapters, skill gap log surfacing

Design references

  • §7 Architectural Principles — topology as data, eject, never lock-in
  • §8 Separation of Powers — governance/ module is the SwarmKit side; AGT is the implementation
  • §9 System Architecture — this package is component #1 of 3
  • §14 Runtime Architecture — three execution modes (one-shot, persistent, scheduled)

Entry points (design §14.2)

Command What it does
swarmkit init Launch Workspace Authoring Swarm in terminal chat mode
swarmkit author topology [name] Launch Topology Authoring variant
swarmkit author skill [name] Launch Skill Authoring Swarm
swarmkit author archetype [name] Launch Archetype Authoring variant
swarmkit run topology.yaml One-shot execution
swarmkit serve workspace/ Persistent / scheduled mode
swarmkit eject topology.yaml Export LangGraph code

Development

uv sync --package swarmkit-runtime
uv run pytest packages/runtime/tests
uv run swarmkit --help

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

swarmkit_runtime-1.2.37.tar.gz (224.6 kB view details)

Uploaded Source

Built Distribution

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

swarmkit_runtime-1.2.37-py3-none-any.whl (206.8 kB view details)

Uploaded Python 3

File details

Details for the file swarmkit_runtime-1.2.37.tar.gz.

File metadata

  • Download URL: swarmkit_runtime-1.2.37.tar.gz
  • Upload date:
  • Size: 224.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.14 {"installer":{"name":"uv","version":"0.11.14","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for swarmkit_runtime-1.2.37.tar.gz
Algorithm Hash digest
SHA256 48abc563ddadfeef262f443ee13ff81b22b6898c268c3082dae27cc66bf54830
MD5 7b577fb55e624b63403a0b84644bbda1
BLAKE2b-256 a1e25c68723be8235672de613e770e5add91ca89fbf0a4ffd0801b163ede1613

See more details on using hashes here.

File details

Details for the file swarmkit_runtime-1.2.37-py3-none-any.whl.

File metadata

  • Download URL: swarmkit_runtime-1.2.37-py3-none-any.whl
  • Upload date:
  • Size: 206.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.14 {"installer":{"name":"uv","version":"0.11.14","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for swarmkit_runtime-1.2.37-py3-none-any.whl
Algorithm Hash digest
SHA256 04602b072cdea35b1be7161eab2f92a1add318a2017a1b01c0a82cd391625bed
MD5 587dd1b9865c717dc9c34d988fc42893
BLAKE2b-256 c419f055c7b53a99bc894f9a48681c22a30b0b481609ff1bd9f9843ceea4e122

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