Playbooks · Agent workflows
Orchestrate a multi-step agent task as a sequential workflow
Split input preparation, specialist work, and final synthesis into dependent nodes that consume earlier outputs.
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Playbooks · Agent workflows
Split input preparation, specialist work, and final synthesis into dependent nodes that consume earlier outputs.
Playbooks · Agent workflows
Run the same agent node for independent list items while limiting concurrency and preserving result order.
Playbooks · Agent workflows
Wait for all parallel branches, collect outputs by branch name, and pass them to a single synthesis node.
Playbooks · Agent workflows
Dynamically schedule child nodes when task count depends on data discovered during an agent run, then collect results.
Playbooks · Agent reliability
Set attempts, backoff, and an exception allowlist for one unreliable node; do not retry business denials.
Playbooks · Agent evaluation
Use representative, redacted conversations to define expected answers and tool trajectories and detect regressions in pytest.
Playbooks · Agent evaluation
Record agent resource use alongside quality evaluation to detect excessive cost for marginal quality gains.
Playbooks · Agent reliability
Pass a client cancellation signal to the Runner so long tools or workflow nodes stop and the event stream closes cleanly.
Playbooks · Agent safety
When a paused tool call will execute on resume, validate its stored arguments and block tampered calls.
Playbooks · Agent authorization
Pause a run when a tool needs the user’s credential, complete the external consent flow, and resume the waiting call.
Playbooks · Agent interoperability
Wrap an agent and its tools behind an MCP server so compatible clients can delegate through one bounded entry point.
Playbooks · Agent interoperability
Control outbound requests, required auth headers, and conversion of remote replies to local events when calling a remote agent.
Playbooks · Agent observability
Use ordered session events and state deltas to explain agent state transitions instead of guessing from prompts.
Playbooks · Agent safety
Inspect content before it reaches a live model stream and block or replace the turn when needed.
Playbooks · Agent workflows
Emit a structured input request when a workflow lacks a decision or field, then continue after the user responds.
Playbooks · Agent interoperability
Define fields and delegation scope before calling a remote agent and validate its response locally.
Playbooks · Agent workflows
Encode explicit conditional routing in workflow edges so invalid inputs take a clarification or rejection path.
Playbooks · Agent runtime
Run one task through the async message stream and distinguish text blocks from its final result.
Playbooks · Agent runtime
Keep conversational context within one client, sending turns and consuming each full response.
Playbooks · Agent orchestration
Declare a focused reviewer with AgentDefinition, grant read tools only, and invoke it from the main task.
Playbooks · Agent orchestration
Read loaded agent names from the initialization message instead of assuming that a file on disk is active.
Playbooks · Agent safety
Verify that allowed_tools pre-approves listed tools and use disallowed_tools to block explicit exclusions.
Playbooks · Agent safety
Use can_use_tool to decide separately for reads, writes, and commands, and redirect writes to a safe directory.
Playbooks · Agent safety
Match command input before tool execution and return deny through hookSpecificOutput.
Playbooks · Agent recovery
Inspect tool responses in a PostToolUse hook and add actionable error context for the next model turn.
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