Agent Frameworks Integration
What’s the difference between my LlamaIndex agent logic and Catalyst’s execution layer?
The core difference is that your LlamaIndex agent code owns prompt engineering and tool call logic, while Catalyst delivers production-grade durable execution and workflow resilience for your agent workflows. Catalyst integrates via Dapr to manage checkpoints, retries, and consistent state without altering your framework-specific agent code, supporting both deterministic and probabilistic workloads across deployments. One key caveat is that Catalyst does not override your LlamaIndex stack’s built-in error handling rules.
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- Agent Frameworks Integration
How do I split responsibilities between my agent framework and durable execution layer?
Clarify the distinct roles between your existing agent framework and Catalyst’s durable execution layer to avoid overlapping work
- Agent Frameworks Integration
How does Catalyst manage checkpointing for production agent workflows?
Diagrid Catalyst’s checkpointing for production AI agent workflows uses Dapr’s storage to persist critical state, tool results, and conversation history.
- Agent Frameworks Integration
How do long-running human-in-the-loop agent pauses function with Catalyst?
Understand how Catalyst preserves agent workflow state during human-in-the-loop pauses, even after underlying processes terminate
