multiagent coder

README.md

@@ -87,7 +87,11 @@ This project is licensed under the MIT License - see the [LICENSE](LICENSE) file
 - Inspiration and support from our user base.
 
 ## Screeshot
+### MultiAgent Coder and planner
 ![crewaidemo](image.png)
+![alt text](image-1.png)
+
+
 
 ---
 

app.py

@@ -19,9 +19,7 @@ if __name__ == "__main__":
     # load ui
     ui = LoadStreamlitUI()
     user_input = ui.load_streamlit_ui()
-    # Configure LLM
-    obj_llm_config = GroqLLM(user_controls_input=user_input)
-    llm = obj_llm_config.groq_llm_config()
+    
         
         
     # Initialize the message log in session state if not already present
@@ -37,6 +35,10 @@ if __name__ == "__main__":
         st.session_state.messages.append({"role": "user", "content": prompt})
         st.chat_message("user").write(prompt)
         
+        # Configure LLM
+        obj_llm_config = GroqLLM(user_controls_input=user_input)
+        llm = obj_llm_config.groq_llm_config()
+        
         
         # agents 
         obj_crewai_agents = CrewAIAgents(llm=llm)

src/agents/agents.py

@@ -41,16 +41,18 @@ class CrewAIAgents:
             goal='Generate actionable steps for task completion.',
             llm=self.llm,
             callbacks=[CustomHandler("Project Manager")],
+            max_iter = 3
         )
         coder = Agent(
-            role='Python Coder',
-            backstory='''You are a Senior Python Developer responsible for writing clean, efficient and robust Python code
+            role='Coder',
+            backstory='''You are a Senior Developer responsible for writing clean, efficient and robust  code
                         that is easy to read and understand.
                         You write code using object oriented programming principles and follow best practices.
                         You produce functional, feature complete code.''',
-            goal='Develop high-quality, well-structured Python code.',
+            goal='Develop high-quality, well-structured  code.',
             llm=self.llm,
             callbacks=[CustomHandler("Coder")],
+            max_iter = 3
         )
         
         return [project_manager,coder]

src/llmconfig/groqllm.py

@@ -13,7 +13,7 @@ class GroqLLM:
     def groq_llm_config(self):
         groq = ChatGroq(
             temperature=0.5,
-            model="llama3-70b-8192",
-            # api_key="" # Optional if not set as an environment variable
+            model= self.user_controls_input["selected_model"],
+            api_key="" # Optional if not set as an environment variable
         )
         return groq

src/streamlitUI/loadui.py

@@ -2,6 +2,7 @@ import streamlit as st
 from crewai import Crew, Process
 import streamlit as st
 from configfile import Config  # Import the Config class
+import os
 
 
 class LoadStreamlitUI:
@@ -24,10 +25,13 @@ class LoadStreamlitUI:
             if self.user_controls["selected_llm"] == 'Groq':
                 # Model selection
                 model_options = self.config.get_groq_model_options()
-                self.user_controls["selected_groq_model"] = st.selectbox("Select Model", model_options)
+                self.user_controls["selected_model"] = st.selectbox("Select Model", model_options)
                 # API key input
                 self.user_controls["GROQ_API_KEY"] = st.session_state["GROQ_API_KEY"] = st.text_input("API Key",
                                                                                                       type="password")
+            
+                # Set your OpenAI API key
+                os.environ["GROQ_API_KEY"] = self.user_controls["GROQ_API_KEY"]           
             # Use case selection
             self.user_controls["selected_usecase"] = st.selectbox("Select Usecases", usecase_options)
             st.session_state["chat_with_history"] = st.sidebar.toggle("Chat With History")