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README.md
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| 1 |
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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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* [\_\_init\_\_](#__init__)
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* [DemonstrationsAtomicFlow](#DemonstrationsAtomicFlow)
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* [DemonstrationsAtomicFlow](#DemonstrationsAtomicFlow.DemonstrationsAtomicFlow)
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* [instantiate\_from\_config](#DemonstrationsAtomicFlow.DemonstrationsAtomicFlow.instantiate_from_config)
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* [run](#DemonstrationsAtomicFlow.DemonstrationsAtomicFlow.run)
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* [ChatWithDemonstrationsFlow](#ChatWithDemonstrationsFlow)
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* [ChatWithDemonstrationsFlow](#ChatWithDemonstrationsFlow.ChatWithDemonstrationsFlow)
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<a id="__init__"></a>
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# \_\_init\_\_
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<a id="DemonstrationsAtomicFlow"></a>
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# DemonstrationsAtomicFlow
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<a id="DemonstrationsAtomicFlow.DemonstrationsAtomicFlow"></a>
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## DemonstrationsAtomicFlow Objects
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```python
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class DemonstrationsAtomicFlow(AtomicFlow)
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```
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This class implements a Demonstrations Atomic Flow. It is a flow which is usually used to pass demonstrations (of user assistant interactions)
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to the ChatAtomicFlow.
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*Configuration Parameters*:
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- `name` (str): The name of the flow. Default: "DemonstrationsAtomicFlow"
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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: "A flow that passes demonstrations to the ChatFlow"
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- `data` (List[Dict[str, Any]]): The data of the demonstrations.
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If data is None, the data is loaded from the file specified in the params["data_dir"].
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Default: No default value this field must be set.
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- `params` (Dict[str, Any]): The parameters specific to the dataset of the demonstrations. Its default parameters are:
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- `data_dir` (str): The directory where the demonstrations are stored. If the data is not directly passed to the flow through `data` then
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the data is loaded from this directory. Default: No default value this field must be set.
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- `demonstrations_id` (str): The id of the demonstrations (name of the data file). If the data is not directly passed to the flow through `data` then
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the data is loaded from this file. Default: No default value this field must be set.
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- `demonstrations_k` (int): The number of demonstrations to pass to the ChatFlow.
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If None, all the demonstrations are passed to the ChatFlow. Default: None
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- `query_prompt_template` (Dict[str, Any]): The prompt template used to generate the query of the demonstrations.
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By default its of type flows.prompt_template.JinjaPrompt. None of the parameters of the prompt are defined by default and therefore need to be defined if one
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wants to use the query_prompt_template. Default parameters are defined in flows.prompt_template.jinja2_prompts.JinjaPrompt.
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- `response_prompt_template` (Dict[str, Any]): The prompt template used to generate the response of the demonstrations. By default its of type flows.prompt_template.JinjaPrompt.
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None of the parameters of the prompt are defined by default and therefore need to be defined if one
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wants to use the response_prompt_template. Default parameters are defined in flows.prompt_template.jinja2_prompts.JinjaPrompt.
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*Input Interface*:
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- The input interface expected by its successor flow (e.g. typically ChatAtomicFlow so the input interface is the one expected by ChatAtomicFlow)
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*Output Interface*:
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- The input interface expected by its successor flow (e.g. typically ChatAtomicFlow so the input interface expected by ChatAtomicFlow))
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- `demonstrations` (List[Dict[str, Any]]): A list of demonstrations. Each demonstration is a dictionary with the following keys:
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- idx (int): The index of the demonstration
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- query (str): The query of the demonstration
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- response (str): The response of the demonstration
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**Arguments**:
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- `params` (`Dict[str, Any]`): The parameters specific to the dataset of the demonstrations. It must sould contain the following keys:
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- 'data_dir' (str): The directory where the demonstrations are stored. This field is used if the data is not directly passed to the flow through the 'data' field.
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- 'demonstrations_id' (str): The id of the demonstrations (name of the data file). This field is used if the data is not directly passed to the flow through the 'data' field.
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- 'demonstrations_k' (int): The number of demonstrations to pass to the ChatFlow. If None, all the demonstrations are passed to the ChatFlow.
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- 'ids_to_keep' (Optional[Union[str, List[str]]]): The ids of the demonstrations to keep. If None, all the demonstrations are kept.
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- `query_prompt_template` (`JinjaPrompt`): The prompt template used to generate the query of the demonstrations.
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- `response_prompt_template` (`JinjaPrompt`): The prompt template used to generate the response of the demonstrations.
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- `data` (`Optional[List[Dict[str, Any]]]`): The data of the demonstrations. If None, the data is loaded from the file specified in the params.
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<a id="DemonstrationsAtomicFlow.DemonstrationsAtomicFlow.instantiate_from_config"></a>
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#### instantiate\_from\_config
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```python
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@classmethod
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def instantiate_from_config(cls, config)
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```
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This method instantiates the flow from a config file.
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**Arguments**:
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- `config` (`Dict[str, Any]`): The configuration of the flow.
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**Returns**:
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`Flow`: The instantiated flow.
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<a id="DemonstrationsAtomicFlow.DemonstrationsAtomicFlow.run"></a>
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#### run
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```python
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def run(input_data: Dict[str, Any]) -> Dict[str, Any]
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```
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This method runs the flow. It returns the input data of the flow with the demonstrations added to it.
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**Arguments**:
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- `input_data` (`Dict[str, Any]`): The input data of the flow.
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**Returns**:
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`Dict[str, Any]`: The input data of the flow with the demonstrations added to it.
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<a id="ChatWithDemonstrationsFlow"></a>
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# ChatWithDemonstrationsFlow
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<a id="ChatWithDemonstrationsFlow.ChatWithDemonstrationsFlow"></a>
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## ChatWithDemonstrationsFlow Objects
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```python
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class ChatWithDemonstrationsFlow(SequentialFlow)
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```
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A Chat with Demonstrations Flow. It is a flow that consists of multiple sub-flows that are executed sequentially.
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It's parent class is SequentialFlow.
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It Contains the following subflows:
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- A Demonstration Flow: It is a flow that passes demonstrations to the ChatFlow
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- A Chat Flow: It is a flow that uses the demonstrations to answer queries asked by the user/human.
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An illustration of the flow is as follows:
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-------> Demonstration Flow -------> Chat Flow ------->
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*Configuration Parameters*:
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- `name` (str): The name of the flow. Default: "ChatAtomic_Flow_with_Demonstrations"
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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: "A sequential flow that answers questions with demonstrations"
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- `subflows_config` (Dict[str,Any]): A dictionary of subflows configurations of the sequential Flow. Default:
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- `Demonstration Flow`: The configuration of the Demonstration Flow. By default, it a DemonstrationsAtomicFlow.
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Its default parmaters are defined in DemonstrationsAtomicFlow).
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- `Chat Flow`: The configuration of the Chat Flow. By default, its a ChatAtomicFlow.
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Its default parmaters are defined in ChatAtomicFlowModule (see Flowcard, i.e. README.md, of ChatAtomicFlowModule).
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- `topology` (str): The topology of the flow which is "sequential". By default, the topology is the one shown in the
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illustration above (the topology is also described in ChatWithDemonstrationsFlow.yaml).
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*Input Interface*:
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- `query` (str): A query asked to the flow (e.g. "What is the capital of France?")
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Output Interface:
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- `answer` (str): The answer of the flow to the query
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**Arguments**:
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- `\**kwargs`: Arguments to be passed to the parent class SequentialFlow constructor.
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