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core-runtime

core-runtime

Maintain, debug, and design low-level autogen_core applications: runtimes, routed agents, handlers, topics, subscriptions, tools, model messages, component config, cancellation, intervention, and distributed runtime boundaries.

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name: core-runtime description: "Maintain, debug, and design low-level autogen_core applications: runtimes, routed agents, handlers, topics, subscriptions, tools, model messages, component config, cancellation, intervention, and distributed runtime boundaries." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

AutoGen Core Runtime

Use this sub-skill when working on existing AutoGen Python autogen_core applications that need low-level event-driven runtime control. AutoGen is in maintenance mode; for new greenfield agent systems, consider Microsoft Agent Framework, but use this skill for AutoGen maintenance, debugging, migration, and compatibility work.

Route Here For

  • SingleThreadedAgentRuntime lifecycle, send_message, publish_message, stop, stop_when_idle, and runtime state.
  • RoutedAgent, message_handler, event, rpc, handler type annotations, match predicates, and unhandled messages.
  • DefaultTopicId, TopicId, AgentId, default_subscription, type_subscription, TypeSubscription, and topic-to-agent mapping.
  • Core FunctionTool, StaticWorkbench, model messages, chat completion contexts, component serialization, cancellation, and intervention handlers.
  • Distributed runtime design, gRPC/protobuf terminology, and when to route implementation work to extension packages.

Route Elsewhere

  • Use ../agentchat-workflows/ for AssistantAgent, teams, group chat, high-level tools-as-agents, streaming chat tasks, termination, and AgentChat state.
  • Use ../extensions-integrations/ for concrete model clients, autogen_ext gRPC runtime packages, Docker/Jupyter executors, MCP, external services, and provider credentials.
  • Use ../tools-studio-bench/ for AutoGen Studio, AG Bench, Magentic-One CLI, and pyautogen package/version boundary work.

Core Workflow

  1. Identify whether the application is direct RPC (send_message to an AgentId) or pub/sub (publish_message to a TopicId).
  2. Confirm every agent type is registered before sending, and every publish path has a matching subscription.
  3. Start the runtime before enqueueing work, then await stop() for direct sends or stop_when_idle() after publishes.
  4. Keep handlers async, explicitly typed, and decorated; use message_handler(strict=False) only when intentionally tolerating type or return mismatches.
  5. Treat component loading and FunctionTool config as trusted-code operations; validate provider strings, import namespaces, and schemas before loading.

Bundled References

  • references/api-reference.md summarizes key low-level APIs and constructor signatures.
  • references/runtime-patterns.md gives concrete runtime, routing, topics, tools, contexts, cancellation, and intervention patterns.
  • references/distributed-runtime.md explains distributed/gRPC boundaries without depending on extension packages.
  • references/troubleshooting.md maps common runtime failures to diagnosis and fixes.
  • scripts/core_runtime_smoke.py inspects installed signatures and can run a tiny local no-network runtime example.

Quick Smoke Check

Run the bundled smoke script in an environment with autogen-core installed:

python scripts/core_runtime_smoke.py --inspect
python scripts/core_runtime_smoke.py --run-local-example

The local example uses only SingleThreadedAgentRuntime, a dataclass message, and an in-process RoutedAgent; it performs no network or service calls.

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