- 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

eveai_chat_workers/outputs/identification/identification_v1_0.py

@@ -0,0 +1,45 @@
+from typing import Optional, List
+
+from pydantic import BaseModel, Field
+
+
+class LeadPersonalInfo(BaseModel):
+    name: Optional[str] = Field(None, description="The full name of the lead.")
+    job_title: Optional[str] = Field(None, description="The job title of the lead.")
+    email: Optional[str] = Field(None, description="The email address of the lead.")
+    phone: Optional[str] = Field(None, description="The phone number of the lead.")
+    additional_info: Optional[str] = Field(None, description="Additional information about the lead.")
+
+
+class LeadCompanyInfo(BaseModel):
+    company_name: Optional[str] = Field(..., description="The name of the company the lead works for.")
+    company_website: Optional[str] = Field(None, description="The website of the company the lead works for.")
+    industry: Optional[str] = Field(..., description="The industry in which the company operates.")
+    company_size: Optional[int] = Field(..., description="The size of the company in terms of employee count.")
+    additional_info: Optional[str] = Field(None, description="Additional information about the lead's company.")
+
+
+class LeadInfoOutput(BaseModel):
+    personal_info: Optional[LeadPersonalInfo] = Field(None, description="Personal information of the lead.")
+    company_info: Optional[LeadCompanyInfo] = Field(None, description="Company information related to the lead.")
+    questions: Optional[str] = Field(None, description="Additional questions to further clarify Identification")
+
+    def __str__(self):
+        output = ""
+        if self.personal_info:
+            output += (f"PERSONAL INFO:\n\n"
+                       f"Name: {self.personal_info.name or 'N/A'}\n"
+                       f"Job Title: {self.personal_info.job_title or 'N/A'}\n"
+                       f"Email: {self.personal_info.email or 'N/A'}\n"
+                       f"Phone: {self.personal_info.phone or 'N/A'}\n"
+                       f"Additional Info: {self.personal_info.additional_info or 'N/A'}\n\n")
+
+        if self.company_info:
+            output += (f"COMPANY INFO:\n\n"
+                       f"Company Name: {self.company_info.company_name or 'N/A'}\n"
+                       f"Industry: {self.company_info.industry or 'N/A'}\n"
+                       f"Company Size: {self.company_info.company_size or 'N/A'}\n"
+                       f"Additional Info: {self.company_info.additional_info or 'N/A'}\n\n")
+
+        if self.questions:
+            output += f"QUESTIONS:\n\n{self.questions}\n\n"

eveai_chat_workers/outputs/rag/rag_v1_0.py

@@ -0,0 +1,9 @@
+from typing import List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class RAGOutput(BaseModel):
+    answer: Optional[str] = Field(None, description="Answer to the questions asked")
+    citations: Optional[List[str]] = Field(None, description="A list of sources used in generating the answer")
+    insufficient_info: Optional[bool] = Field(None, description="An indication if there's insufficient information to answer")

eveai_chat_workers/outputs/spin/spin_v1_0.py

@@ -0,0 +1,24 @@
+from typing import List, Optional
+
+from pydantic import BaseModel, Field
+
+
+class SPINOutput(BaseModel):
+    situation: Optional[str] = Field(None, description="Situation information")
+    problem: Optional[str] = Field(None, description="Problem information")
+    implication: Optional[str] = Field(None, description="Implication information")
+    need: Optional[str] = Field(None, description="Need-payoff information")
+    additional_info: Optional[str] = Field(None, description="Additional sales-related information.")
+    questions: Optional[str] = Field(None, description="Additional questions to further clarify SPIN")
+    potential_customer: Optional[bool] = Field(False, description="Indication if this could be a good customer")
+
+    def __str__(self):
+        """Custom string output for usage in agents and tasks"""
+        return (f"Situation: {self.situation or 'N/A'}\n"
+                f"Problem: {self.problem or 'N/A'}\n"
+                f"Implication: {self.implication or 'N/A'}\n"
+                f"Need: {self.need or 'N/A'}\n"
+                f"Additional Info: {self.additional_info or 'N/A'}\n"
+                f"Questions: {self.questions or 'N/A'}\n"
+                f"Potential Customer: {self.potential_customer or 'N/A'}\n")
+