Metadata-Version: 2.1
Name: coco-rasa
Version: 0.0.2
Summary: CoCo(Conversational Components) SDK for using components in Rasa
Home-page: https://github.com/conversationalcomponents/coco-rasa
Author: Chen Buskilla
Author-email: chen@buskilla.com
License: MIT
Description: 
        # A Toolkit to work with components in rasa
        
        ### Installation (We recommend using a virtualenv):
        ```
        pip install coco-rasa
        ```
        
        ### Setup:
        #### Setting up CoCo actions
        in actions.py
        ```python
        from coco_rasa import GenericCoCoAction
        
        class OneLiners(GenericCoCoAction):
            # component name is the component_id from CoCo marketplace
            component_name = "generic_oneliners_vp3"
        
        class Namer(GenericCoCoAction):
            component_name = "namer_vp3"
        ```
        
        in domain.yml
        ```yaml
        actions:
            - generic_oneliners_vp3
            - namer_vp3
        ```
        
        #### to enable multi-turn capabilities for CoCo actions
        in your rasa bot config.yml
        ```yaml
        policy:
          - name: "coco_rasa.CoCoContextPolicy"
        ```
        
        #### triggering actions (and CoCo actions)
        * MappingPolicy
        
        ``` yaml
        # config.yml:
        policies:
            - name: MappingPolicy
        ```
        
        ```yaml
        # domain.yml
        intents:
            - greet:
                triggers: namer_vp3
            - someotherintent
        ```
        * Fallback policy
        
        ``` yaml
        # config.yaml
        policies:
            - name: "FallbackPolicy"
                nlu_threshold: 0.4
                core_threshold: 0.3
                fallback_action_name: "generic_oneliners_vp3"
        ```
        
        #### using context transfer
        in domain.yml declare the keys you want the use(from CoCo context transfer protocol). data will be transferred automatically between components.
        ```yaml
        slots:
          user.firstName:
            type: text
          user.lastName:
            type: text
        ```
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown
