chatinteractivedone
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README.md
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license: mit
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---
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license: mit
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---
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# Table of Contents
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* [ChatHumanFlowModule](#ChatHumanFlowModule)
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* [ChatHumanFlowModule](#ChatHumanFlowModule.ChatHumanFlowModule)
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* [type](#ChatHumanFlowModule.ChatHumanFlowModule.type)
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<a id="ChatHumanFlowModule"></a>
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# ChatHumanFlowModule
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<a id="ChatHumanFlowModule.ChatHumanFlowModule"></a>
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## ChatHumanFlowModule Objects
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```python
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class ChatHumanFlowModule(CircularFlow)
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```
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This class implements a Chat Human Flow Module. It is a flow that consists of two sub-flows that are executed circularly. It Contains the following subflows:
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- A User Flow: A flow makes queries to the Assistant Flow. E.g. The user asks the assistant (LLM) a question.
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- A Assistant Flow: A flow that responds to queries made by the User Flow. E.g. The assistant (LLM) answers the user's question.
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To end the interaction, the user must type "\<END\>"
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An illustration of the flow is as follows:
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|------> User Flow -----------> |
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^ |
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|<------ Assistant Flow <-------|
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*Configuration Parameters*:
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- `name` (str): The name of the flow. Default: "ChatHumanFlowModule"
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- `description` (str): A description of the flow. This description is used to generate the help message of the flow.
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Default: "Flow that enables chatting between a ChatAtomicFlow and a user providing the input."
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- `max_rounds` (int): The maximum number of rounds the flow can run for. Default: None, which means that there is no limit on the number of rounds.
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- `early_exit_key` (str): The key that is used to exit the flow. Default: "end_of_interaction"
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- `subflows_config` (Dict[str,Any]): A dictionary of subflows configurations. Default:
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- `Assistant Flow`: The configuration of the Assistant Flow. By default, it a ChatAtomicFlow. It default parmaters are defined in ChatAtomicFlowModule.
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- `User Flow`: The configuration of the User Flow. By default, it a HumanStandardInputFlow. It default parmaters are defined in HumanStandardInputFlowModule.
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- `topology` (str): (List[Dict[str,Any]]): The topology of the flow which is "circular".
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By default, the topology is the one shown in the illustration above (the topology is also described in ChatHumanFlowModule.yaml).
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*Input Interface*:
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- None. By default, the input interface doesn't expect any input.
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*Output Interface*:
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- `end_of_interaction` (bool): Whether the interaction is finished or not.
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**Arguments**:
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- `\**kwargs` (`Dict[str, Any]`): Arguments to be passed to the parent class CircularFlow constructor.
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<a id="ChatHumanFlowModule.ChatHumanFlowModule.type"></a>
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#### type
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```python
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@classmethod
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def type(cls)
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```
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This method returns the type of the flow.
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