Scenario Challenge
Large-scale projects often involve code development, testing, documentation and other multiline tasks, the traditional serial processing mode is inefficient, Kheish's single-agent multi-tasking architecture can crack this problem.
Key technologies
- Scene combinations: Stringing together independent YAML configurations into a task pipeline
- resource dispatch: Coordinate fs/sh/rag and other module calls through the module manager
- maintenance: Sharing cross-task contexts with the memories module
Implementation process
- Split projects into atomic tasks (e.g. unit testing/integration testing)
- Create separate YAML configurations for each subtask
- Write master scenario files to define task dependencies
- Add the -parallel parameter at runtime to activate parallel mode
best practice
It is recommended to cooperate with SSH module to realize cross-server task distribution, which is measured to shorten the project delivery cycle by 40% in Kubernetes cluster management scenario.
This answer comes from the articleKheish: multi-actor intelligences that review, validate and format output to produce high quality resultsThe
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