Implement LangGraph Scheduler for Kafka #1630
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nfcampos
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Sep 6, 2024
nfcampos
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- Orchestrator and Executor classes to run LangGraph in a distributed fashion using Kafka as a message bus for communication
- Orchestrator and Executor run on-demand when a new message is published to the topic they listen to
- Orchestrator is responsible for running the Pregel algorithm (deciding next tasks to run) and sending messages to the executor topic
- Executor is responsible for executing each task (node), and sending messages to the orchestrator topic when done
nfcampos
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Sep 6, 2024
nfcampos
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nfcampos
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Sep 10, 2024
- Orchestrator and Executor classes to run LangGraph in a distributed fashion using Kafka as a message bus for communication - Orchestrator and Executor run on-demand when a new message is published to the topic they listen to - Orchestrator is responsible for running the Pregel algorithm (deciding next tasks to run) and sending messages to the executor topic - Executor is responsible for executing each task (node), and sending messages to the orchestrator topic when done
- await future returned by send() instead of flush() - use consumer groups by default - process tasks in batches by default, configurable - manually commit offsets when batch is processed
- we already shield from cancellation in PregelLoop so shouldnt be repeating in AsyncBackgroundExecutor
eg, because removed since
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