25213f2004
- eveai_chat becomes deprecated and should be replaced with SSE - Adaptation of STANDARD_RAG specialist - Base class definition allowing to realise specialists with crewai framework - Implementation of SPIN_SPECIALIST - Implementation of test app for testing specialists (test_specialist_client). Also serves as an example for future SSE-based client - Improvements to startup scripts to better handle and scale multiple connections - Small improvements to the interaction forms and views - Caching implementation improved and augmented with additional caches
26 lines
1.3 KiB
YAML
26 lines
1.3 KiB
YAML
version: "1.0.0"
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name: "SPIN Information Detection"
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task_description: >
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Detect the SPIN-context, taking into account the history of the discussion (in between triple backquotes) with main focus on
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the latest reply (which can contain answers on previously asked questions by the user). Spin elements may already be
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provided in the history. Add or refine these with the new input provided in the latest reply of the end user.
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{custom_description}
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Use the following {tenant_language} to define the SPIN-elements.
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History:
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```{history}```
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Latest reply:
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{query}
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expected_output: >
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The SPIN analysis, comprised of:
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- Situation information: a description of the customer's current context / situation.
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- Problem information: a description of the customer's problems uncovering it's challenges and pain points.
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- Implication information: implications of situation / identified problems, i.e. of the consequences of those problems.
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- Need-payoff information: Customer's needs, helping customers realize value of solutions.
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- Additional info: Information that does not fit in the above SPIN-categories, but that can be commercially interesting.
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{custom_expected_output}
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metadata:
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author: "Josako"
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date_added: "2025-01-08"
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description: "A Task that performs SPIN Information Detection"
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changes: "Initial version"
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