Jason Zhang
94832a5151
The new guide explains what the plugin does, a get-started example, how the retry loop and per-tool failure tracking work, the configuration options, advanced applications, and its limitations. Co-authored-by: Jason Zhang <jasoncz@google.com> PiperOrigin-RevId: 955444373
ADK Developer Guides
This directory contains specific developer guides for the ADK Python implementation. For the official ADK documentation, visit adk.dev.
Index
Agents
- LlmAgent Single-Turn Mode - Guide on using LlmAgent in single-turn mode.
- LlmAgent Task Mode - Guide on using LlmAgent in task mode.
- ManagedAgent - Guide on using ManagedAgent with server-side tools.
Events
- Event and NodeInfo - Understanding Event and NodeInfo in workflows.
- RequestInput - How to use RequestInput for human-in-the-loop interactions.
Plugins
- ReflectAndRetryModelPlugin - Self-healing, concurrent-safe error recovery for model failures.
- ReflectAndRetryToolPlugin - Self-healing, concurrent-safe error recovery for tool failures.
Tools
- to_mcp_server - Expose an ADK agent as an MCP server so any MCP host can drive it as a single tool (the MCP counterpart of to_a2a).
Workflows
- Workflow - Graph-based orchestration of complex, multi-step agent interactions.
- Workflow Graphs - Understanding nodes, edges, and graph structures in workflows.
- Function Nodes - Wrapping Python functions and generators as workflow nodes.
- JoinNode - Synchronizing parallel execution paths in workflows.
- RetryConfig - Configuring retry policies for resilient workflow nodes.
- ParallelWorker - Processing lists of items concurrently in workflows.
- Dynamic Nodes - Scheduling and executing nodes dynamically at runtime.