// Design and implement ADK-Rust agent workflow patterns including LLM, sequential, parallel, loop, and multi-agent orchestration. Use when building or refactoring agent topology.
Build and debug ADK graph workflows with checkpoints, routing, interrupts, and state reducers. Use when implementing graph-based orchestration in adk-graph.
Select and configure ADK-Rust model providers and feature flags with environment validation. Use when choosing Gemini/OpenAI/Anthropic/DeepSeek/Groq/Ollama/mistralrs for a project.
Implement realtime voice agents with ADK-Rust, including audio formats, event handling, and streaming reliability. Use when building or debugging voice interactions in adk-realtime.
Add ADK-Rust tools, MCP integrations, and ADK UI protocol outputs safely. Use when building function tools, MCP toolsets, browser tools, or UI render tools.
Bootstrap new ADK-Rust applications with correct crate/features, provider setup, and verification steps. Use when starting a new agent app or converting an existing Rust app to ADK-Rust.
Add evaluation, telemetry, and guardrails to ADK-Rust systems as one quality loop. Use when hardening agent behavior before production release.
| name | adk-rust-agent-workflows |
| description | Design and implement ADK-Rust agent workflow patterns including LLM, sequential, parallel, loop, and multi-agent orchestration. Use when building or refactoring agent topology. |
Implement the simplest correct workflow topology for the target behavior.
LlmAgent.SequentialAgent for ordered deterministic stages.ParallelAgent only when stages are independent.LoopAgent with explicit exit conditions and max-iteration guard.references/workflow-patterns.md.