agent:role / instruction, prompt

src/streamlit_app.py

@@ -156,62 +156,86 @@ def main() -> None:
                 # Setup the openai
                 set_openai_key(st.session_state.api_key)
 
-                # Create the agent
+                 # Create agents
                 ceo = Agent(
-                    name = "Project Director",
-                    description = "",
-                    instruction = """
+                    name="Project Director",
+                    description="You are a CEO of multiple companies in the past and have a lot of experience in evaluating projects and making strategic decisions.",
+                    instructions="""
+                    You are an experienced CEO who evaluates projects. Follow these steps strictly:
+
+                    1. FIRST, use the AnalyzeProjectRequirements tool with:
+                       - project_name: The name from the project details
+                       - project_description: The full project description
+                       - project_type: The type of project (Web Application, Mobile App, etc)
+                       - budget_range: The specified budget range
+
+                    2. WAIT for the analysis to complete before proceeding.
                     
+                    3. Review the analysis results and provide strategic recommendations.
                     """,
-                    tools = [AnalyzeProjectRequirements],
-                    api_headers = api_headers,
-                    temperature = 0.7,
-                    max_prompt_tokens = 25000
+                    tools=[AnalyzeProjectRequirements],
+                    api_headers=api_headers,
+                    temperature=0.7,
+                    max_prompt_tokens=25000
                 )
 
                 cto = Agent(
-                    name = "Technical Architect",
-                    description = "",
-                    instruction = """
+                    name="Technical Architect",
+                    description="Senior technical architect with deep expertise in system design.",
+                    instructions="""
+                    You are a technical architect. Follow these steps strictly:
+
+                    1. WAIT for the project analysis to be completed by the CEO.
                     
+                    2. Use the CreateTechnicalSpecification tool with:
+                       - architecture_type: Choose from monolithic/microservices/serverless/hybrid
+                       - core_technologies: List main technologies as comma-separated values
+                       - scalability_requirements: Choose high/medium/low based on project needs
+
+                    3. Review the technical specification and provide additional recommendations.
                     """,
-                    tools = [CreateTechnicalSpecification],
-                    api_headers = api_headers,
-                    temperature = 0.5,
-                    max_prompt_tokens = 25000
+                    tools=[CreateTechnicalSpecification],
+                    api_headers=api_headers,
+                    temperature=0.5,
+                    max_prompt_tokens=25000
                 )
 
                 product_manager = Agent(
-                    name = "Product Manager",
-                    description = "",
-                    instruction = """
-                    
+                    name="Product Manager",
+                    description="Experienced product manager focused on delivery excellence.",
+                    instructions="""
+                    - Manage project scope and timeline giving the roadmap of the project
+                    - Define product requirements and you should give potential products and features that can be built for the startup
                     """,
-                    api_headers = api_headers,
-                    temperature = 0.4,
-                    max_prompt_tokens = 25000
+                    api_headers=api_headers,
+                    temperature=0.4,
+                    max_prompt_tokens=25000
                 )
 
                 developer = Agent(
-                    name = "Lead Developer",
-                    description = "",
-                    instruction = """
-                    
+                    name="Lead Developer",
+                    description="Senior developer with full-stack expertise.",
+                    instructions="""
+                    - Plan technical implementation
+                    - Provide effort estimates
+                    - Review technical feasibility
                     """,
-                    api_headers = api_headers,
-                    temperature = 0.3,
-                    max_prompt_tokens = 25000
+                    api_headers=api_headers,
+                    temperature=0.3,
+                    max_prompt_tokens=25000
                 )
 
                 client_manager = Agent(
-                    name = "Client Success Manager",
-                    description = "",
-                    instruction = """
-                    
+                    name="Client Success Manager",
+                    description="Experienced client manager focused on project delivery.",
+                    instructions="""
+                    - Ensure client satisfaction
+                    - Manage expectations
+                    - Handle feedback
                     """,
-                    api_headers = api_headers,
-                    temperature = 0.6,
-                    max_prompt_tokens = 25000
+                    api_headers=api_headers,
+                    temperature=0.6,
+                    max_prompt_tokens=25000
                 )
 
                 agency = Agency(
@@ -239,4 +263,25 @@ def main() -> None:
                     "priority": priority,
                     "technical_requirements": tech_requirements,
                     "special_consideration": special_consideration
-                }
+                }
+
+                st.session_state.messages.append({
+                    "role": "user",
+                    "content" : str(project_info)
+                })
+
+                # Create tab and run analysis
+                with st.spinner("dev.ai is analyzing your project..."):
+                    try:
+                        # Get analysis from each agent using agency.get_completion()
+                        ceo_resp = agency.get_completion(
+                            message = f"""Analyze this project using AnalyzeProjectRequirement tool:
+                            Project Name: {project_name}
+                            Project Description: {project_description}
+                            Project Type: {project_type}
+                            Budget Range: {budget_range}
+
+                            Use these exact values with tool and wait for the analysis results.""",
+                            recipient_agent = ceo
+                        )
+