- Implementation of specialist execution api, including SSE protocol
- 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
This commit is contained in:
@@ -1,4 +1,4 @@
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version: 1.0.0
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version: "1.0.0"
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name: "Spin Sales Specialist"
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framework: "crewai"
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configuration:
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@@ -31,6 +31,12 @@ configuration:
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type: "str"
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description: "The language code used for internal information. If not provided, the tenant's default language will be used"
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required: false
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nr_of_questions:
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name: "nr_of_questions"
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type: "int"
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description: "The maximum number of questions to formulate extra questions"
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required: true
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default: 3
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arguments:
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language:
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name: "Language"
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@@ -48,61 +54,113 @@ arguments:
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description: "Initial identification information when available"
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required: false
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results:
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detailed_query:
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name: "detailed_query"
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type: "str"
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description: "The query detailed with the Chat Session History."
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required: true
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answer:
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name: "answer"
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type: "str"
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description: "Answer to the query"
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required: true
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citations:
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name: "citations"
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type: "List[str]"
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description: "List of citations"
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required: false
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insufficient_info:
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name: "insufficient_info"
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type: "bool"
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description: "Whether or not the query is insufficient info"
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required: true
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rag_output:
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answer:
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name: "answer"
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type: "str"
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description: "Answer to the query"
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required: true
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citations:
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name: "citations"
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type: "List[str]"
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description: "List of citations"
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required: false
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insufficient_info:
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name: "insufficient_info"
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type: "bool"
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description: "Whether or not the query is insufficient info"
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required: true
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spin:
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situation_information:
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name: "situation_information"
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type: "List[str]"
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description: "A list of situation descriptions"
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situation:
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name: "situation"
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type: "str"
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description: "A description of the customer's current situation / context"
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required: false
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problem_information:
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name: "problem_information"
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type: "List[str]"
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description: "A list of problems"
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problem:
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name: "problem"
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type: "str"
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description: "The current problems the customer is facing, for which he/she seeks a solution"
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required: false
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implication_information:
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name: "implication_information"
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type: "List[str]"
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implication:
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name: "implication"
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type: "str"
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description: "A list of implications"
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required: false
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needs_information:
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name: "needs_information"
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type: "List[str]"
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needs:
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name: "needs"
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type: "str"
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description: "A list of needs"
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required: false
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additional_info:
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name: "additional_info"
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type: "str"
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description: "Additional information that may be commercially interesting"
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required: false
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lead_info:
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lead_personal_info:
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name:
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name: "name"
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type: "str"
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description: "name of the lead"
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required: "true"
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job_title:
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name: "job_title"
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type: "str"
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description: "job title"
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required: false
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email:
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name: "email"
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type: "str"
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description: "lead email"
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required: "false"
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phone:
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name: "phone"
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type: "str"
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description: "lead phone"
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required: false
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additional_info:
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name: "additional_info"
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type: "str"
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description: "additional info on the lead"
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required: false
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lead_company_info:
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company_name:
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name: "company_name"
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type: "str"
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description: "Name of the lead company"
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required: false
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industry:
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name: "industry"
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type: "str"
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description: "The industry of the company"
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required: false
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company_size:
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name: "company_size"
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type: "int"
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description: "The size of the company"
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required: false
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company_website:
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name: "company_website"
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type: "str"
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description: "The main website for the company"
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required: false
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additional_info:
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name: "additional_info"
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type: "str"
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description: "Additional information that may be commercially interesting"
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required: false
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agents:
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- type: "RAG_AGENT"
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version: "1.0"
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name: "Default RAG Agent" # Just added as an example. Overwrites the default agent name.
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description: "An Agent that does RAG based on a user's question, RAG content & history" # Just added as an example. Overwrites the default agent description.
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- type: "RAG_COMMUNICATION_AGENT"
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version: "1.0"
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- type: "SPIN_DETECTION_AGENT"
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version: "1.0"
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- type: "SPIN_SALES_SPECIALIST_AGENT"
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version: "1.0"
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- type: "IDENTIFICATION_AGENT"
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version: "1.0"
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- type: "EMAIL_CONTENT_AGENT"
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version: "1.0"
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- type: "EMAIL_ENGAGEMENT_AGENT"
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- type: "RAG_COMMUNICATION_AGENT"
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version: "1.0"
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tasks:
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- type: "RAG_TASK"
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@@ -115,9 +173,7 @@ tasks:
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version: "1.0"
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- type: "IDENTIFICATION_QUESTIONS_TASK"
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version: "1.0"
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- type: "EMAIL_LEAD_DRAFTING_TASK"
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version: "1.0"
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- type: "EMAIL_LEAD_ENGAGEMENT_TASK"
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- type: "RAG_CONSOLIDATION_TASK"
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version: "1.0"
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metadata:
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author: "Josako"
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