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Revert "Rename acp_type=AGENTIC to ASYNC with backwards compatibility" (#31)
Reverts #20
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agentex/database/migrations/alembic/versions/2025_10_30_2157_change_default_acp_to_async_329fbafa4ff9.py

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agentex/database/migrations/migration_history.txt

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d7addd4229e8 -> 329fbafa4ff9 (head), change_default_acp_to_async
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09368a02d6cc -> d7addd4229e8 (head), soft delete status
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739800d3e1ce -> 09368a02d6cc, deployment history
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dbac39ab82c3 -> 739800d3e1ce, registration metadata
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agentex/docs/docs/acp/async/base.md renamed to agentex/docs/docs/acp/agentic/base.md

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# Base Async ACP
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# Base Agentic ACP
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**Base Async ACP** is the foundational implementation designed for learning and development environments. It provides complete control over task lifecycle while using Agentex's built-in state management.
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**Base Agentic ACP** is the foundational implementation designed for learning and development environments. It provides complete control over task lifecycle while using Agentex's built-in state management.
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## When to Use
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### Not Ideal For:
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**Production Critical Systems** - Use Temporal Async ACP
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**Production Critical Systems** - Use Temporal Agentic ACP
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**Very Large State Requirements** - Consider external storage
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**Enterprise Durability** - No advanced fault tolerance
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**High-Scale Operations** - Better suited for development
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## State Management
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Base Async ACP requires using Agentex's state management system:
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Base Agentic ACP requires using Agentex's state management system:
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```python
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@acp.on_task_create
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## Next Steps
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- **Ready for production?** Learn about [Temporal Async ACP](temporal.md)
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- **Ready for production?** Learn about [Temporal Agentic ACP](temporal.md)
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- **Need to upgrade?** See the [Migration Guide](../../concepts/migration_guide.md)
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- **New to Agentex?** Follow the [Quick Start Guide on GitHub](https://github.com/scaleapi/scale-agentex#quick-start)
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- **Ready to build?** Check out [Base Agentic Tutorials on GitHub](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_agentic/000_base)

agentex/docs/docs/acp/async/overview.md renamed to agentex/docs/docs/acp/agentic/overview.md

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# Async ACP
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# Agentic ACP
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**Async ACP** is the powerful, event-driven approach for complex agent interactions. It provides complete control over task lifecycle, state management, and workflows through three distinct handlers.
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**Agentic ACP** is the powerful, event-driven approach for complex agent interactions. It provides complete control over task lifecycle, state management, and workflows through three distinct handlers.
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## What is Async ACP?
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## What is Agentic ACP?
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Async ACP provides full lifecycle control where:
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Agentic ACP provides full lifecycle control where:
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- You implement **three handler methods** for complete lifecycle management
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- Tasks require **explicit initialization** and cleanup
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## Two Implementation Approaches
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Async ACP can be implemented in two ways:
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Agentic ACP can be implemented in two ways:
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| Aspect | Base Async ACP | Temporal Async ACP |
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| Aspect | Base Agentic ACP | Temporal Agentic ACP |
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|--------|------------------|----------------------|
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| **Best for** | Learning, development, POCs | Production, enterprise |
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| **State Management** | Agentex state APIs | Temporal event sourcing or Agentex state |
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## Core Architecture
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Both Base and Temporal Async ACP share the same three-handler pattern:
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Both Base and Temporal Agentic ACP share the same three-handler pattern:
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```python
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@acp.on_task_create
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## Asynchronous Event Processing
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Think of Async ACP like a **postal system for agents** - each agent has its own mailbox where events are delivered asynchronously, and agents decide when and how to process their mail.
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Think of Agentic ACP like a **postal system for agents** - each agent has its own mailbox where events are delivered asynchronously, and agents decide when and how to process their mail.
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### Every Agent Has a Mailbox
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## Choose Your Implementation
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### Base Async ACP
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### Base Agentic ACP
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Perfect for learning and development. Use Agentex's built-in state management.
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**[→ Read Base Async ACP Guide](base.md)**
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**[→ Read Base Agentic ACP Guide](base.md)**
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### Temporal Async ACP
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### Temporal Agentic ACP
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Production-ready with durable execution and automatic fault tolerance.
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**[→ Read Temporal Async ACP Guide](temporal.md)**
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**[→ Read Temporal Agentic ACP Guide](temporal.md)**
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---
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## Next Steps
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- **Getting started?** Learn about [Base Async ACP](base.md) first
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- **Ready for production?** Explore [Temporal Async ACP](temporal.md)
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- **Getting started?** Learn about [Base Agentic ACP](base.md) first
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- **Ready for production?** Explore [Temporal Agentic ACP](temporal.md)
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- **Need to upgrade?** Check the [Migration Guide](../../concepts/migration_guide.md)
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- **New to Agentex?** Follow the [Quick Start Guide on GitHub](https://github.com/scaleapi/scale-agentex#quick-start)
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- **Ready to build?** Check out [Agentic Tutorials on GitHub](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_agentic)

agentex/docs/docs/acp/async/temporal.md renamed to agentex/docs/docs/acp/agentic/temporal.md

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# Temporal Async ACP
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# Temporal Agentic ACP
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**Temporal Async ACP** provides production-ready agent development with **durable execution**, **fault tolerance**, and **automatic state management**. Instead of implementing ACP handlers directly, you implement Temporal workflows that are automatically integrated with the ACP protocol.
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**Temporal Agentic ACP** provides production-ready agent development with **durable execution**, **fault tolerance**, and **automatic state management**. Instead of implementing ACP handlers directly, you implement Temporal workflows that are automatically integrated with the ACP protocol.
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## When to Use
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### Not Ideal For:
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**Learning Agentex basics** - Start with Base Async ACP
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**Learning Agentex basics** - Start with Base Agentic ACP
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**Simple prototypes** - Higher complexity overhead
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**Development without Temporal** - Requires Temporal infrastructure
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## Key Differences from Base Async ACP
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## Key Differences from Base Agentic ACP
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### No Manual ACP Handlers
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# Create the ACP server
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acp = FastACP.create(
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acp_type="async",
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acp_type="agentic",
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config=TemporalACPConfig(
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temporal_address=os.getenv("TEMPORAL_ADDRESS", "localhost:7233")
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## Next Steps
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- **Getting started?** Learn about [Base Async ACP](base.md) first
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- **Getting started?** Learn about [Base Agentic ACP](base.md) first
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- **Need to migrate?** Check the [Migration Guide](../../concepts/migration_guide.md)
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- **New to Agentex?** Follow the [Quick Start Guide on GitHub](https://github.com/scaleapi/scale-agentex#quick-start)
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- **Ready to build?** Check out [Temporal Tutorials on GitHub](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/10_agentic/100_temporal)

agentex/docs/docs/acp/best-practices.md

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- **Async operations** - Use `await` for all ADK operations
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- **Efficient state access** - Batch state operations when possible
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- **Resource cleanup** - Always clean up resources in Async ACP
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- **Resource cleanup** - Always clean up resources in Agentic ACP
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## Security

agentex/docs/docs/acp/overview.md

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Agentex supports two distinct ACP types, each designed for different use cases:
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| Feature | Sync ACP | Async ACP |
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| Feature | Sync ACP | Agentic ACP |
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| **Best for** | Chat bots, simple Q&A | Complex workflows, stateful apps |
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| **Handlers** | 1 method (`on_message_send`) | 3 methods (`on_task_create`, `on_task_event_send`, `on_task_cancel`) |
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- ✅ Quick responses - Fast, lightweight operations
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- ✅ Chat-like interfaces - Traditional conversational AI
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**Use Async ACP when:**
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**Use Agentic ACP when:**
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- ✅ Complex workflows - Multi-step processes with state
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- ✅ Persistent memory - Need to remember context across interactions
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**[→ Read Sync ACP Guide](sync.md)**
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### Async ACP
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### Agentic ACP
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Powerful event-driven approach for complex agents. Choose between Base (learning/development) or Temporal (production).
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**[→ Read Async ACP Overview](async/overview.md)**
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**[→ Read Agentic ACP Overview](agentic/overview.md)**
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## Additional Resources
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- **[Migration Guide](../concepts/migration_guide.md)** - Upgrade from Sync to Async, or Base to Temporal
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- **[Migration Guide](../concepts/migration_guide.md)** - Upgrade from Sync to Agentic, or Base to Temporal
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- **[Best Practices](best-practices.md)** - Guidelines for performance, security, and maintainability
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---

agentex/docs/docs/acp/sync.md

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### Not Ideal For:
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**Multi-step workflows** - Use Async ACP
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**Multi-step workflows** - Use Agentic ACP
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- **Consider migration** - Switch to Agentic ACP as complexity grows
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## Next Steps
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- **Need more complexity?** Learn about [Async ACP](agentic/overview.md)
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- **Need more complexity?** Learn about [Agentic ACP](agentic/overview.md)
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- **Ready to upgrade?** See the [Migration Guide](../concepts/migration_guide.md)
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- **New to Agentex?** Follow the [Quick Start Guide on GitHub](https://github.com/scaleapi/scale-agentex#quick-start)
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- **Ready to build?** Check out [Sync ACP Tutorials on GitHub](https://github.com/scaleapi/scale-agentex-python/tree/main/examples/tutorials/00_sync)

agentex/docs/docs/api/types.md

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- [TaskMessage Concepts](../concepts/task_message.md) - Working with messages
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- [Streaming Concepts](../concepts/streaming.md) - Real-time message streaming
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- [State Concepts](../concepts/state.md) - Managing persistent state
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- [Agent-to-Client Protocol (ACP)](../acp/overview.md) - Sync and Async ACP handler parameters explained
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- [Agent-to-Client Protocol (ACP)](../acp/overview.md) - Sync and Agentic ACP handler parameters explained
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agentex/docs/docs/concepts/agents.md

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**Sync ACP** agents are the simplest form - just a single function that processes messages and returns responses.
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**Async ACP** agents have multiple handler functions that manage the complete interaction lifecycle.
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**Agentic ACP** agents have multiple handler functions that manage the complete interaction lifecycle.
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## Agent Relationships
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# Async ACP - Create messages explicitly
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# Agentic ACP - Create messages explicitly
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@acp.on_task_event_send
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await adk.messages.create(

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