Expose execution lifecycle hooks and metadata for agent reliability tooling
Long running agents and workflows can encounter issues such as repeated retries, circular execution paths, stalled progress, and other forms of non productive execution.
Today, many of these behaviors are difficult to observe or intercept without embedding reliability logic directly into application code.
Proposal
Expose lightweight execution lifecycle hooks and metadata around agent and tool execution.
Examples could include
BeforeToolCall(...)
AfterToolCall(...)
OnRetry(...)
OnFailure(...)
OnLoopDetected(...)
Along with metadata such as
ExecutionID
ParentExecutionID
ToolName
AttemptCount
StepCount
Duration
CorrelationID
Benefits
This would make it possible to build reliability features as separate components rather than coupling them to business logic.
Potential use cases include
- Loop detection
- Retry policies
- Circuit breakers
- Execution auditing
- Progress tracking
- Resource monitoring
- Custom recovery workflows
The goal would not be to prescribe a particular implementation, but to expose enough information for the community to experiment with different approaches.
I have seen similar ideas emerging in agent runtimes where reliability is treated as a separate concern from orchestration. Some projects are beginning to build runtime policies around execution patterns such as repeated tool calls, excessive retries, and stalled workflows. Having standardized lifecycle events in Go Micro would make it much easier to integrate or experiment with those kinds of reliability layers.
One example is https://github.com/FailproofAI/failproofai, which focuses on runtime detection of loops and execution failures rather than orchestration itself.
Go Micro already provides strong primitives for communication and orchestration. Exposing execution lifecycle events feels like a natural next step for supporting more autonomous and long running agent workloads.
Expose execution lifecycle hooks and metadata for agent reliability tooling
Long running agents and workflows can encounter issues such as repeated retries, circular execution paths, stalled progress, and other forms of non productive execution.
Today, many of these behaviors are difficult to observe or intercept without embedding reliability logic directly into application code.
Proposal
Expose lightweight execution lifecycle hooks and metadata around agent and tool execution.
Examples could include
Along with metadata such as
Benefits
This would make it possible to build reliability features as separate components rather than coupling them to business logic.
Potential use cases include
The goal would not be to prescribe a particular implementation, but to expose enough information for the community to experiment with different approaches.
I have seen similar ideas emerging in agent runtimes where reliability is treated as a separate concern from orchestration. Some projects are beginning to build runtime policies around execution patterns such as repeated tool calls, excessive retries, and stalled workflows. Having standardized lifecycle events in Go Micro would make it much easier to integrate or experiment with those kinds of reliability layers.
One example is https://github.com/FailproofAI/failproofai, which focuses on runtime detection of loops and execution failures rather than orchestration itself.
Go Micro already provides strong primitives for communication and orchestration. Exposing execution lifecycle events feels like a natural next step for supporting more autonomous and long running agent workloads.