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CodeTracked since May 22, 2026

Migrate PraisonAI wrapper scheduling to async context-local execution

The primary change in this PR is the async scheduler migration: `AsyncAgentScheduler` is introduced as the async-native path and wrapper context handling is rewired from global singletons to context-local resolution so multi-agent runs use a consistent runtime/tool context.

AsyncAgentSchedulerasync_agent_schedulercontextvarsglobal singletons

What Happened

  • The primary change in this PR is the async scheduler migration: `AsyncAgentScheduler` is introduced as the async-native path and wrapper context handling is rewired from global singletons to context-local resolution so multi-agent runs use a consistent runtime/tool context.
  • The primary change in this PR is the async scheduler migration: `AsyncAgentScheduler` is introduced as the async-native path and wrapper context handling is rewired from global singletons to context-local resolution so multi-agent runs use a consistent runtime/tool context.
  • 1 evidence item attached for review.

What is Different

Before

Scattered source updates, isolated context, and manual follow-up across multiple feeds.

Now

This change adds `AsyncAgentScheduler` with periodic async execution, scheduling metadata, and retry behavior, then replaces wrapper-layer global singletons with `contextvars` so scheduler/runtime state is isolated per execution context and thread-safety is preserved across concurrent agents.

Why Track This

Why It Matters

Developers and operators running multiple agents now get more predictable scheduled behavior, because concurrent async tasks are less likely to pick up another agent’s runtime or tool context during execution. The migration from singleton state to context-local state should reduce context leakage and feature drift in async workflows, but because the old `async_agent_scheduler` import is now deprecated, teams should watch for integration regressions and validate scheduled jobs during upgrades.

Impact

Developers and operators running multiple agents now get more predictable scheduled behavior, because concurrent async tasks are less likely to pick up another agent’s runtime or tool context during execution. The migration from singleton state to context-local state should reduce context leakage and feature drift in async workflows, but because the old `async_agent_scheduler` import is now deprecated, teams should watch for integration regressions and validate scheduled jobs during upgrades.

What To Watch Next

  • Watch whether AsyncAgentScheduler becomes a repeated pattern.
  • Track follow-up changes around Agent Orchestration Platforms.
  • Compare future signals against this evidence trail.
  • Re-check risk flags: deprecated_import_compatibility, context_local_state_regression.
Open Topic TimelineOpen Technical EventOpen Original Sourcedeprecated_import_compatibility / context_local_state_regression / async_scheduler_load_edge_cases

Supporting Evidence

GITHUB PULL REQUESTHigh Trust

MervinPraison/PraisonAI PR #1723: fix: eliminate wrapper layer architectural gaps

Introduced `AsyncAgentScheduler` for async-native periodic agent execution with schedule expressions, retry support, and execution statistics; implemented context-local runtime and tool resolution.