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29 lines
1.2 KiB
Markdown
29 lines
1.2 KiB
Markdown
# Develop a flow
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:::{admonition} Experimental feature
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This is an experimental feature, and may change at any time. Learn [more](../faq.md#stable-vs-experimental).
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:::
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You can create LLM apps using a Python function or class as the entry point, which encapsulating your app logic. You can directly test or run these entries with pure code experience.
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In PromptFlow, these functions or classes are referred to as `flow` or `flex flow`.
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Alternatively, you can define a `flow.flex.yaml` that points to these entries (`entry:function_name` or `entry:ClassName`). This enables testing, running, or viewing traces via the [Promptflow VS Code Extension](https://marketplace.visualstudio.com/items?itemName=prompt-flow.prompt-flow).
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Our [examples](https://github.com/microsoft/promptflow/tree/main/examples/flex-flows) should give you a good idea on how to write flows.
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Note:
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- The term *Flex* is a shorthand for *flexible*, indicating its adaptability to most scenarios with minimal adjustments.
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- PromptFlow also supports the development of a `dag flow`. learn more on comparasion of these two [flow concepts](../../concepts/concept-flows.md).
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```{toctree}
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:maxdepth: 1
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function-based-flow
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class-based-flow
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input-output-format
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model-config
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connection-support
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```
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