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Made changes in ideation
Browse files- api/routers/__pycache__/context_analysis.cpython-312.pyc +0 -0
- api/routers/__pycache__/ideation.cpython-312.pyc +0 -0
- api/routers/context_analysis.py +1 -1
- api/routers/ideation.py +2 -2
- logs/access.log +17 -0
- src/genai/ideation_agent/__pycache__/agent.cpython-312.pyc +0 -0
- src/genai/ideation_agent/agent.py +8 -13
- src/genai/ideation_agent/utils/__pycache__/nodes.cpython-312.pyc +0 -0
- src/genai/ideation_agent/utils/__pycache__/prompts.cpython-312.pyc +0 -0
- src/genai/ideation_agent/utils/__pycache__/state.cpython-312.pyc +0 -0
- src/genai/ideation_agent/utils/__pycache__/tools.cpython-312.pyc +0 -0
- src/genai/ideation_agent/utils/nodes.py +71 -52
- src/genai/ideation_agent/utils/prompts.py +1 -1
- src/genai/ideation_agent/utils/state.py +9 -2
- src/genai/ideation_agent/utils/tools.py +12 -3
api/routers/__pycache__/context_analysis.cpython-312.pyc
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api/routers/__pycache__/ideation.cpython-312.pyc
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api/routers/context_analysis.py
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@@ -54,4 +54,4 @@ def context_analysis(msg: UserMessage):
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yield json.dumps(final_payload) + "\n"
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return StreamingResponse(event_generator(), media_type="event-stream")
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yield json.dumps(final_payload) + "\n"
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return StreamingResponse(event_generator(), media_type="text/event-stream")
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api/routers/ideation.py
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@@ -20,10 +20,10 @@ def ideation_endpoint():
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},
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config=config,
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)
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stored_data['final_ideation'] = result['
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stored_data['final_ideation']=ast.literal_eval(stored_data['final_ideation'])
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return {'response':ast.literal_eval(result['
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except GraphRecursionError:
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result = idea_graph.get_state({"configurable": {"thread_id": "ideation_thread123"}})
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return {'response': result[0]}
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},
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config=config,
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)
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stored_data['final_ideation'] = result['formatted_response'][-1]
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stored_data['final_ideation']=ast.literal_eval(stored_data['final_ideation'])
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return {'response':ast.literal_eval(result['formatted_response'][-1])}
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except GraphRecursionError:
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result = idea_graph.get_state({"configurable": {"thread_id": "ideation_thread123"}})
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return {'response': result[0]}
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logs/access.log
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@@ -189,3 +189,20 @@
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2025-08-10 14:33:24,030 | INFO | access_logger | Response status: 200
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2025-08-10 15:14:49,865 | INFO | access_logger | Request: POST http://localhost:8000/api/brainstorm
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2025-08-10 15:14:49,880 | INFO | access_logger | Response status: 200
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2025-08-10 14:33:24,030 | INFO | access_logger | Response status: 200
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2025-08-10 15:14:49,865 | INFO | access_logger | Request: POST http://localhost:8000/api/brainstorm
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2025-08-10 15:14:49,880 | INFO | access_logger | Response status: 200
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2025-08-11 13:42:55,059 | INFO | access_logger | Request: GET http://127.0.0.1:8000/docs
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2025-08-11 13:42:55,076 | INFO | access_logger | Response status: 200
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2025-08-11 13:42:55,453 | INFO | access_logger | Request: GET http://127.0.0.1:8000/openapi.json
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2025-08-11 13:42:55,505 | INFO | access_logger | Response status: 200
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2025-08-11 13:46:16,491 | INFO | access_logger | Request: POST http://127.0.0.1:8000/api/ideation
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2025-08-11 13:47:27,569 | INFO | access_logger | Response status: 200
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2025-08-11 13:53:19,240 | INFO | access_logger | Request: POST http://127.0.0.1:8000/api/context-analysis
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2025-08-11 13:53:19,315 | INFO | access_logger | Response status: 200
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2025-08-11 13:53:39,072 | INFO | access_logger | Request: POST http://127.0.0.1:8000/api/context-analysis
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2025-08-11 13:53:39,074 | INFO | access_logger | Response status: 200
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2025-08-11 14:24:10,065 | INFO | access_logger | Request: POST http://127.0.0.1:8000/api/ideation
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2025-08-11 14:25:02,611 | INFO | access_logger | Response status: 200
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2025-08-11 14:25:29,940 | INFO | access_logger | Request: POST http://127.0.0.1:8000/api/ideation
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2025-08-11 14:26:51,558 | INFO | access_logger | Response status: 200
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2025-08-11 14:37:03,225 | INFO | access_logger | Request: POST http://127.0.0.1:8000/api/ideation
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2025-08-11 14:39:51,118 | INFO | access_logger | Request: POST http://127.0.0.1:8000/api/ideation
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2025-08-11 14:40:35,783 | INFO | access_logger | Response status: 200
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src/genai/ideation_agent/__pycache__/agent.cpython-312.pyc
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Binary files a/src/genai/ideation_agent/__pycache__/agent.cpython-312.pyc and b/src/genai/ideation_agent/__pycache__/agent.cpython-312.pyc differ
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src/genai/ideation_agent/agent.py
CHANGED
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@@ -1,6 +1,6 @@
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from langgraph.graph import StateGraph, START, END , MessagesState
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from .utils.state import State
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-
from .utils.nodes import ideator , critic ,
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from langgraph.checkpoint.memory import MemorySaver
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memory = MemorySaver()
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@@ -9,27 +9,22 @@ def ideation_graph():
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graph_builder= StateGraph(State)
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graph_builder.add_node(ideator)
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graph_builder.add_node(critic)
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graph_builder.add_node(
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graph_builder.add_node(validator1)
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graph_builder.add_node(validator2)
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graph_builder.add_node(validator3)
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graph_builder.add_node(validator4)
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graph_builder.add_edge(START, "ideator") # Start the graph with node_1
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graph_builder.add_edge("ideator", "critic")
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graph_builder.add_edge("critic", "
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graph_builder.add_edge("
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graph_builder.add_edge("validator1", "validator2")
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graph_builder.add_edge("validator2",
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-
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graph_builder.add_edge("validator4", END)
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# Use conditional routing from validator
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graph_builder.add_conditional_edges("validator1", route1_after_validation,{False:'
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graph_builder.add_conditional_edges("validator2", route2_after_validation,{False:'
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graph_builder.add_conditional_edges("validator3", route3_after_validation,{False:'improver',True:'validator4'})
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graph_builder.add_conditional_edges("validator4", route4_after_validation,{False:'improver',True:END})
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return graph_builder.compile(checkpointer=memory)
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from langgraph.graph import StateGraph, START, END , MessagesState
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from .utils.state import State
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from .utils.nodes import ideator , critic , format_response , validator1 , validator2 , route1_after_validation , route2_after_validation
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from langgraph.checkpoint.memory import MemorySaver
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memory = MemorySaver()
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graph_builder= StateGraph(State)
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graph_builder.add_node(ideator)
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graph_builder.add_node(critic)
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graph_builder.add_node(format_response)
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graph_builder.add_node(validator1)
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graph_builder.add_node(validator2)
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graph_builder.add_edge(START, "ideator") # Start the graph with node_1
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graph_builder.add_edge("ideator", "critic")
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graph_builder.add_edge("critic", "format_response")
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graph_builder.add_edge("format_response", "validator1")
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graph_builder.add_edge("validator1", "validator2")
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graph_builder.add_edge("validator2", END)
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# Use conditional routing from validator
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graph_builder.add_conditional_edges("validator1", route1_after_validation,{False:'critic',True:'validator2'})
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graph_builder.add_conditional_edges("validator2", route2_after_validation,{False:'critic',True:END})
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return graph_builder.compile(checkpointer=memory)
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src/genai/ideation_agent/utils/__pycache__/nodes.cpython-312.pyc
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Binary files a/src/genai/ideation_agent/utils/__pycache__/nodes.cpython-312.pyc and b/src/genai/ideation_agent/utils/__pycache__/nodes.cpython-312.pyc differ
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src/genai/ideation_agent/utils/__pycache__/prompts.cpython-312.pyc
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Binary files a/src/genai/ideation_agent/utils/__pycache__/prompts.cpython-312.pyc and b/src/genai/ideation_agent/utils/__pycache__/prompts.cpython-312.pyc differ
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src/genai/ideation_agent/utils/__pycache__/state.cpython-312.pyc
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Binary files a/src/genai/ideation_agent/utils/__pycache__/state.cpython-312.pyc and b/src/genai/ideation_agent/utils/__pycache__/state.cpython-312.pyc differ
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src/genai/ideation_agent/utils/__pycache__/tools.cpython-312.pyc
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Binary files a/src/genai/ideation_agent/utils/__pycache__/tools.cpython-312.pyc and b/src/genai/ideation_agent/utils/__pycache__/tools.cpython-312.pyc differ
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src/genai/ideation_agent/utils/nodes.py
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@@ -1,8 +1,8 @@
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-
from .state import State , ValidationFormatter , ImproverResponseFormatter
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from .tools import retrieve_tool
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from langgraph.prebuilt import create_react_agent
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from src.genai.utils.models_loader import ideator_llm, critic_llm , improver_llm , validator_llm, llm
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from langchain_core.messages import SystemMessage , HumanMessage
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from .prompts import ideator_prompt , critic_prompt , improver_prompt , validator_prompt, idea_refinement_prompt
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)
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def ideator(state:State):
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template = ideator_prompt(state)
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messages = [SystemMessage(content=template),
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try:
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response = ideator_agent.invoke({'messages':messages})
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print('Ideator Response:',response)
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def critic(state:State):
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template = critic_prompt(state)
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messages = [SystemMessage(content=template),
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try:
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response = critic_agent.invoke({'messages':messages})
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print('Critic backup Response:',response.content)
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state.critic_response.append(response.content)
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return state
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def improver(state:State):
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response_list = []
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print('Improver Prompt:',messages)
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response = improver_llm.with_structured_output(ImproverResponseFormatter).invoke(messages)
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response_list.append(response.improved_idea1)
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response_list.append(response.improved_idea2)
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response_list.append(response.improved_idea3)
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response_list.append(response.improved_idea4)
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state.
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print('Improver response:',response_list)
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return state
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@@ -106,31 +125,31 @@ def validator2(state:State):
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state.disagreement_reason.append(response.reason)
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return state
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def validator3(state:State):
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def validator4(state:State):
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def route1_after_validation(state:State):
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if 'not validated' in state.validator1_response[-1]:
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return True
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def route3_after_validation(state:State):
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def route4_after_validation(state:State):
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from .state import State , ValidationFormatter , ImproverResponseFormatter, CriticResponseFormatter
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from .tools import retrieve_tool
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from langgraph.prebuilt import create_react_agent
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from src.genai.utils.models_loader import ideator_llm, critic_llm , improver_llm , validator_llm, llm
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from langchain_core.messages import SystemMessage , HumanMessage
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from .prompts import ideator_prompt , critic_prompt , improver_prompt , validator_prompt, idea_refinement_prompt
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)
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def ideator(state:State):
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template = ideator_prompt(state)
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# imdb_reference = retrieve_tool(state.business_details[-1])
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messages = [SystemMessage(content=template),
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HumanMessage(content=f'''The business_details is\n{state.business_details[-1]}\n
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The information of the image is:\n{state.image_caption[-1]}''')]
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try:
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response = ideator_agent.invoke({'messages':messages})
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print('Ideator Response:',response)
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def critic(state:State):
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template = critic_prompt(state)
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# imdb_reference= retrieve_tool(state.business_details[-1])
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messages = [SystemMessage(content=template),
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HumanMessage(content=f'''The business_details is\n{state.business_details[-1]}\n
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The information of the image is:\n{state.image_caption[-1]}''')]
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try:
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response = critic_agent.invoke({'messages':messages})
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print('Critic backup Response:',response.content)
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state.critic_response.append(response.content)
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return state
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def format_response(state:State):
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response_list = []
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messages = [SystemMessage(content='''Just extract all the 4 improved ideas and the faults of critic as it is from the critic's response'''),
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HumanMessage(content=f'''The critic's response is: \n {state.critic_response[-1]}''')]
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response = critic_llm.with_structured_output(CriticResponseFormatter).invoke(messages)
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response_list.append(response.improved_idea1)
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response_list.append(response.improved_idea2)
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response_list.append(response.improved_idea3)
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response_list.append(response.improved_idea4)
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state.formatted_response.append(str(response_list))
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state.ideator_fault.append(response.faults)
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print('Formatted Response:', response_list)
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return state
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# def improver(state:State):
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# response_list = []
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# template = improver_prompt(state)
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# messages = [SystemMessage(content=template),
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# HumanMessage(content=f'''The business_details is:\n{state.business_details[-1]}\n The information of the image is:\n{state.image_caption[-1]}''')]
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# print('Improver Prompt:',messages)
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# response = improver_llm.with_structured_output(ImproverResponseFormatter).invoke(messages)
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# response_list.append(response.improved_idea1)
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# response_list.append(response.improved_idea2)
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# response_list.append(response.improved_idea3)
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# response_list.append(response.improved_idea4)
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# state.improver_response.append(str(response_list))
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# state.critic_fault.append(response.faults)
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# print('Improver response:',response_list)
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# return state
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state.disagreement_reason.append(response.reason)
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return state
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# def validator3(state:State):
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# template = validator_prompt(state)
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# messages = [SystemMessage(content=template),
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# HumanMessage(content=f'''The business_details is:\n{state.business_details[-1]}''')]
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# response = critic_llm.with_structured_output(ValidationFormatter).invoke(messages)
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# print(f'Validator 3 response: {response}')
|
| 135 |
+
# state.validator3_response.append(response.result)
|
| 136 |
+
# print('The state check:',state.validator1_response[-1])
|
| 137 |
+
# if 'not validated' in response.result:
|
| 138 |
+
# state.disagreement_reason.append(response.reason)
|
| 139 |
+
# return state
|
| 140 |
+
|
| 141 |
+
# def validator4(state:State):
|
| 142 |
+
# template = validator_prompt(state)
|
| 143 |
+
# messages = [SystemMessage(content=template),
|
| 144 |
+
# HumanMessage(content=f'''The business_details is:\n{state.business_details[-1]}''')]
|
| 145 |
+
|
| 146 |
+
# response = improver_llm.with_structured_output(ValidationFormatter).invoke(messages)
|
| 147 |
+
# print(f'Validator 4 response: {response}')
|
| 148 |
+
# state.validator4_response.append(response.result)
|
| 149 |
+
# print('The state check:',state.validator1_response[-1])
|
| 150 |
+
# if 'not validated' in response.result:
|
| 151 |
+
# state.disagreement_reason.append(response.reason)
|
| 152 |
+
# return state
|
| 153 |
|
| 154 |
def route1_after_validation(state:State):
|
| 155 |
if 'not validated' in state.validator1_response[-1]:
|
|
|
|
| 165 |
return True
|
| 166 |
|
| 167 |
|
| 168 |
+
# def route3_after_validation(state:State):
|
| 169 |
+
# if 'not validated' in state.validator3_response[-1]:
|
| 170 |
+
# return False
|
| 171 |
+
# else:
|
| 172 |
+
# return True
|
| 173 |
|
| 174 |
|
| 175 |
+
# def route4_after_validation(state:State):
|
| 176 |
+
# if 'not validated' in state.validator4_response[-1]:
|
| 177 |
+
# return False
|
| 178 |
+
# else:
|
| 179 |
+
# return True
|
src/genai/ideation_agent/utils/prompts.py
CHANGED
|
@@ -226,7 +226,7 @@ Each idea creatively tells a short story that connects indirectly to the busines
|
|
| 226 |
{state.business_details[-1]}
|
| 227 |
|
| 228 |
**Final 4 Ideas from Improver**:
|
| 229 |
-
{state.
|
| 230 |
|
| 231 |
---
|
| 232 |
|
|
|
|
| 226 |
{state.business_details[-1]}
|
| 227 |
|
| 228 |
**Final 4 Ideas from Improver**:
|
| 229 |
+
{state.formatted_response[-1]}
|
| 230 |
|
| 231 |
---
|
| 232 |
|
src/genai/ideation_agent/utils/state.py
CHANGED
|
@@ -7,8 +7,8 @@ class State(BaseModel):
|
|
| 7 |
business_details : Annotated[list[dict],operator.add] = []
|
| 8 |
ideator_response: Annotated[list[str],operator.add] = []
|
| 9 |
critic_response: Annotated[list[str],operator.add] = []
|
| 10 |
-
|
| 11 |
-
|
| 12 |
validator1_response: Annotated[list[str],operator.add] = []
|
| 13 |
validator2_response: Annotated[list[str],operator.add] = []
|
| 14 |
validator3_response: Annotated[list[str],operator.add] = []
|
|
@@ -30,4 +30,11 @@ class ValidationFormatter(BaseModel):
|
|
| 30 |
result: str = Field(description="Returns **validated** if the idea is validated. Returns **not validated** if story is not validated.")
|
| 31 |
reason: str = Field(description="If the idea is **not validated**, it returns the reason why it is not validated.")
|
| 32 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
|
|
|
|
| 7 |
business_details : Annotated[list[dict],operator.add] = []
|
| 8 |
ideator_response: Annotated[list[str],operator.add] = []
|
| 9 |
critic_response: Annotated[list[str],operator.add] = []
|
| 10 |
+
ideator_fault: Annotated[list[str],operator.add] = []
|
| 11 |
+
formatted_response: Annotated[list[str],operator.add] = []
|
| 12 |
validator1_response: Annotated[list[str],operator.add] = []
|
| 13 |
validator2_response: Annotated[list[str],operator.add] = []
|
| 14 |
validator3_response: Annotated[list[str],operator.add] = []
|
|
|
|
| 30 |
result: str = Field(description="Returns **validated** if the idea is validated. Returns **not validated** if story is not validated.")
|
| 31 |
reason: str = Field(description="If the idea is **not validated**, it returns the reason why it is not validated.")
|
| 32 |
|
| 33 |
+
class CriticResponseFormatter(BaseModel):
|
| 34 |
+
faults: str= Field(description="Returns the faults in the critic's response if any.")
|
| 35 |
+
improved_idea1: str = Field(description="Returns the first improved idea of exactly 40 words. ")
|
| 36 |
+
improved_idea2: str = Field(description="Returns the second improved idea of exactly 40 words. ")
|
| 37 |
+
improved_idea3: str = Field(description="Returns the third improved idea of exactly 40 words. ")
|
| 38 |
+
improved_idea4: str = Field(description="Returns the fourth improved idea of exactly 40 words. ")
|
| 39 |
+
|
| 40 |
|
src/genai/ideation_agent/utils/tools.py
CHANGED
|
@@ -55,7 +55,7 @@ def retrieve_tool_old(business_details):
|
|
| 55 |
return encoding.decode(trimmed_response)
|
| 56 |
|
| 57 |
|
| 58 |
-
@tool("imdb_movies_ideas_retrieval_tool", args_schema=QueryFormatter, return_direct=False,description="Retrieve imdb movies-related idea for a given query.")
|
| 59 |
def retrieve_tool(business_details):
|
| 60 |
'''
|
| 61 |
Always invoke this tool.
|
|
@@ -64,7 +64,7 @@ def retrieve_tool(business_details):
|
|
| 64 |
query_embedding = np.array(embedding_model.embed_query(str(business_details))).reshape(1, -1).astype('float32')
|
| 65 |
faiss.normalize_L2(query_embedding)
|
| 66 |
|
| 67 |
-
top_k =
|
| 68 |
distances, indices = ideas_index.search(query_embedding, top_k)
|
| 69 |
|
| 70 |
outer_list = []
|
|
@@ -81,4 +81,13 @@ def retrieve_tool(business_details):
|
|
| 81 |
outer_list.append(inner_list)
|
| 82 |
|
| 83 |
cleaned_response = clean_text(str(outer_list))
|
| 84 |
-
return str(cleaned_response)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 55 |
return encoding.decode(trimmed_response)
|
| 56 |
|
| 57 |
|
| 58 |
+
# @tool("imdb_movies_ideas_retrieval_tool", args_schema=QueryFormatter, return_direct=False,description="Retrieve imdb movies-related idea for a given query.")
|
| 59 |
def retrieve_tool(business_details):
|
| 60 |
'''
|
| 61 |
Always invoke this tool.
|
|
|
|
| 64 |
query_embedding = np.array(embedding_model.embed_query(str(business_details))).reshape(1, -1).astype('float32')
|
| 65 |
faiss.normalize_L2(query_embedding)
|
| 66 |
|
| 67 |
+
top_k = 10
|
| 68 |
distances, indices = ideas_index.search(query_embedding, top_k)
|
| 69 |
|
| 70 |
outer_list = []
|
|
|
|
| 81 |
outer_list.append(inner_list)
|
| 82 |
|
| 83 |
cleaned_response = clean_text(str(outer_list))
|
| 84 |
+
return str(cleaned_response)
|
| 85 |
+
|
| 86 |
+
# business_details= {
|
| 87 |
+
# "business_type": "restaurant",
|
| 88 |
+
# "platform": "instagram",
|
| 89 |
+
# "target_audience": "youths",
|
| 90 |
+
# "business_goals": "to increase sales",
|
| 91 |
+
# "offerings": "nepali local foods",
|
| 92 |
+
# "Challenges_faced": "competition with other restaurants"
|
| 93 |
+
# },
|