القائمة
Build an API-oriented agent using AgentRuntime/StreamingRuntime with predictable request/response slices and session support.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Build a production-minded AI agent using agent-contracts (contracts, slices, validation, graph, runtime, CLI tooling).
Make contract-driven agents safe to change with strict validation, architecture docs, and contract diffs in CI.
Build question/answer style agents using InteractiveNode, explicit routing, and workflow slices.
Tune routing with TriggerCondition priorities, LLM hints, context_builder, and traceable decisions.
Implement tool-using or retrieval-style nodes with services, dependency injection, and safe LLM context building.
| name | agent-contracts-backend-runtime |
| description | Build an API-oriented agent using AgentRuntime/StreamingRuntime with predictable request/response slices and session support. |
| metadata | {"short-description":"Backend runtime patterns"} |
Use this skill when you are implementing an AI agent as a backend service (HTTP API, jobs, or SSE streaming).
RequestContext(session_id, action, params, message, image, resume_session)response.response_type + response.response_data (+ optional response.response_message)request, response, _internal + domain slices (e.g., ticket, orders, workflow)examples/05_backend_runtime.py.NodeRegistry.add_valid_slice("your_slice").NodeContract (keep reads/writes minimal).build_graph_from_registry(...) and compile.AgentRuntime for request/response execution.StreamingRuntime and emit SSE via StreamEvent.to_sse().response.response_type for flow termination and client branching.request (discouraged).GenericSupervisor).docs/getting_started.mddocs/core_concepts.mddocs/cli.mddocs/skills/official/agent-contracts-backend-runtime/references/patterns.md