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jess commited on
Commit ·
3757f89
1
Parent(s): 05a7853
DONE: WORKING save prompt
Browse files- Project.py +21 -7
- app.py +7 -7
- db_config_log_20250326_204808.txt +0 -0
- db_config_log_20250326_205250.txt +0 -0
- db_config_log_20250326_205259.txt +0 -0
- db_config_log_20250326_205400.txt +0 -0
- db_config_log_20250326_205411.txt +0 -0
- db_config_log_20250326_205423.txt +0 -0
- db_config_log_20250326_205703.txt +0 -0
- db_config_log_20250326_205735.txt +0 -0
- db_config_log_20250326_205738.txt +0 -0
- db_config_log_20250326_205744.txt +0 -0
- db_config_log_20250326_210148.txt +0 -0
- db_config_log_20250326_210403.txt +0 -0
- prompt_configs.py +0 -2
- prompt_configs_exp.txt +0 -6
Project.py
CHANGED
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@@ -3,7 +3,7 @@ import csv
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import re
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from typing import Any, Dict
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from common_functions_v4 import *
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-
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from config_classes import *
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from langtrace_python_sdk.utils.with_root_span import with_langtrace_root_span
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import openai
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@@ -198,10 +198,13 @@ class Project:
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def execute_prompt(self, prompt_name: str, input_variables: Dict[str, Any] = None) -> str:
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"""Execute a prompt with given input variables synchronously"""
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print(f"Attempting to execute prompt: {prompt_name}")
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raise ValueError(f"Unknown prompt: {prompt_name}")
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config = PROMPTS[prompt_name]
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input_variables = self._validate_and_fill_inputs(config, input_variables)
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prompt = self._build_prompt(config, input_variables)
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print(f"Final prompt to be executed: {prompt}")
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@@ -220,10 +223,12 @@ class Project:
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async def async_execute_prompt(self, prompt_name: str, input_variables: Dict[str, Any] = None) -> str:
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"""Execute a prompt with given input variables asynchronously"""
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print(f"Attempting to execute prompt: {prompt_name}")
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-
if prompt_name not in PROMPTS:
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raise ValueError(f"Unknown prompt: {prompt_name}")
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config = PROMPTS[prompt_name]
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input_variables = self._validate_and_fill_inputs(config, input_variables)
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prompt = self._build_prompt(config, input_variables)
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# print(f"Final prompt to be executed: {prompt}")
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@@ -310,13 +315,17 @@ class Project:
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def reset_project(self):
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"""Reset all project attributes"""
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self.project_detail = []
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-
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for output in config.outputs:
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setattr(self, output, "")
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async def generate_client_initial_question(self):
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"""Generate follow-up questions after initial client response"""
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return PROMPTS["client_initial_question"].prompt
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async def generate_client_follow_up(self):
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"""Generate follow-up questions after initial client response"""
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@@ -393,6 +402,11 @@ class Project:
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PROMPTS["generate_prd"].prompt,
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prd_response)
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# Parse and format the PRD response
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try:
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prd_json = self._parse_json_response(prd_response)
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import re
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from typing import Any, Dict
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from common_functions_v4 import *
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+
from prompt_configs import PROMPTS, ModelType
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from config_classes import *
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from langtrace_python_sdk.utils.with_root_span import with_langtrace_root_span
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import openai
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def execute_prompt(self, prompt_name: str, input_variables: Dict[str, Any] = None) -> str:
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"""Execute a prompt with given input variables synchronously"""
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print(f"Attempting to execute prompt: {prompt_name}")
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+
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# if prompt_name not in PROMPTS:
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if prompt_name not in self._db_config:
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raise ValueError(f"Unknown prompt: {prompt_name}")
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# config = PROMPTS[prompt_name]
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config = self._db_config[prompt_name]
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input_variables = self._validate_and_fill_inputs(config, input_variables)
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prompt = self._build_prompt(config, input_variables)
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print(f"Final prompt to be executed: {prompt}")
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async def async_execute_prompt(self, prompt_name: str, input_variables: Dict[str, Any] = None) -> str:
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"""Execute a prompt with given input variables asynchronously"""
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print(f"Attempting to execute prompt: {prompt_name}")
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# if prompt_name not in PROMPTS:
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if prompt_name not in self._db_config:
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raise ValueError(f"Unknown prompt: {prompt_name}")
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# config = PROMPTS[prompt_name]
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config = self._db_config[prompt_name]
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input_variables = self._validate_and_fill_inputs(config, input_variables)
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prompt = self._build_prompt(config, input_variables)
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# print(f"Final prompt to be executed: {prompt}")
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def reset_project(self):
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"""Reset all project attributes"""
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self.project_detail = []
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self.load_config_from_db()
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# for config in PROMPTS.values():
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for config in self._db_config.values():
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for output in config.outputs:
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setattr(self, output, "")
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async def generate_client_initial_question(self):
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"""Generate follow-up questions after initial client response"""
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# return PROMPTS["client_initial_question"].prompt
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return self._db_config["client_initial_question"].prompt
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async def generate_client_follow_up(self):
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"""Generate follow-up questions after initial client response"""
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PROMPTS["generate_prd"].prompt,
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prd_response)
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# log_prompt(self._db_config["generate_prd"].step,
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# self._db_config["generate_prd"].description,
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# self._db_config["generate_prd"].prompt,
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# prd_response)
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# Parse and format the PRD response
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try:
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prd_json = self._parse_json_response(prd_response)
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app.py
CHANGED
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@@ -336,13 +336,13 @@ def create_quotation_generator_section():
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all_components[prompt_key] = components
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def bulk_save_prompts():
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print("
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try:
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# Create a backup of current PROMPTS
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original_prompts = {key: prompt_config.prompt for key, prompt_config in PROMPTS.items()}
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# Create the output file in prompt_configs_exp.py format
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print("Starting
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with open("prompt_configs_exp.txt", "w", encoding="utf-8") as f:
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# Write everything at once instead of line by line
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output_content = "{\n"
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@@ -409,16 +409,16 @@ def create_quotation_generator_section():
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print("Successfully completed writing to prompt_configs_exp.py")
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return "✅ Prompts updated and exported to prompt_configs_exp.py successfully"
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except Exception as e:
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print(f"ERROR in
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return f"❌ Error updating prompts: {str(e)}"
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-
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fn=bulk_save_prompts,
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inputs=[],
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outputs=[
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)
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all_components[prompt_key] = components
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def bulk_save_prompts():
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print("Bulk saving prompts")
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try:
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# Create a backup of current PROMPTS
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original_prompts = {key: prompt_config.prompt for key, prompt_config in PROMPTS.items()}
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# Create the output file in prompt_configs_exp.py format
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print("Starting bulk save prompts function")
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with open("prompt_configs_exp.txt", "w", encoding="utf-8") as f:
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# Write everything at once instead of line by line
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output_content = "{\n"
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print("Successfully completed writing to prompt_configs_exp.py")
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return "✅ Prompts updated and exported to prompt_configs_exp.py successfully"
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except Exception as e:
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print(f"ERROR in bulk_save_prompts: {str(e)}")
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return f"❌ Error updating prompts: {str(e)}"
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bulk_save_button = gr.Button("Bulk Save Prompts to DB")
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bulk_save_status = gr.Markdown("Click to save all prompts")
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bulk_save_button.click(
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fn=bulk_save_prompts,
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inputs=[],
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outputs=[bulk_save_status]
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)
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db_config_log_20250326_204808.txt
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db_config_log_20250326_205250.txt
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db_config_log_20250326_205259.txt
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db_config_log_20250326_205400.txt
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db_config_log_20250326_205411.txt
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db_config_log_20250326_205423.txt
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db_config_log_20250326_205703.txt
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db_config_log_20250326_205735.txt
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db_config_log_20250326_205738.txt
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db_config_log_20250326_205744.txt
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db_config_log_20250326_210148.txt
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db_config_log_20250326_210403.txt
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prompt_configs.py
CHANGED
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@@ -41,8 +41,6 @@ PROMPTS = {
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"questioning_agent": PromptConfig(
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prompt=
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"""
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i changed this for the forth time
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You are an AI that analyzes a software project’s requirements and determines all possible valid and unique configurations based on the provided constraints.
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Input Data:
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"questioning_agent": PromptConfig(
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prompt=
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"""
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You are an AI that analyzes a software project’s requirements and determines all possible valid and unique configurations based on the provided constraints.
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Input Data:
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prompt_configs_exp.txt
CHANGED
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@@ -1,9 +1,6 @@
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{
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$$"questioning_agent": PromptConfig(
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prompt="""
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-
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i changed this for the forth time
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You are an AI that analyzes a software project’s requirements and determines all possible valid and unique configurations based on the provided constraints.
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Input Data:
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)$$,
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$$"client_initial_question": PromptConfig(
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prompt="""
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-
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Client Information Gathering Questions
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### Company Background and Industry
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)$$,
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$$"generate_client_follow_up": PromptConfig(
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prompt="""
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Based on the initial list of questions and the client's provided answers, generate **insightful and targeted follow-up questions** that will help deepen my understanding of the following critical aspects:
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1. **Client Overview**
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)$$,
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$$"generate_prd": PromptConfig(
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prompt="""
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Rewrite the following content under the document title "Project Requirements". The goal is to enhance clarity and structure while retaining every specific detail, metric, and constraint exactly as given.
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- Do not introduce any new information, context, or assumptions. Do not omit any details.
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{
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$$"questioning_agent": PromptConfig(
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prompt="""
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You are an AI that analyzes a software project’s requirements and determines all possible valid and unique configurations based on the provided constraints.
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Input Data:
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)$$,
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$$"client_initial_question": PromptConfig(
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prompt="""
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Client Information Gathering Questions
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### Company Background and Industry
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)$$,
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$$"generate_client_follow_up": PromptConfig(
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prompt="""
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Based on the initial list of questions and the client's provided answers, generate **insightful and targeted follow-up questions** that will help deepen my understanding of the following critical aspects:
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1. **Client Overview**
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)$$,
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$$"generate_prd": PromptConfig(
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prompt="""
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Rewrite the following content under the document title "Project Requirements". The goal is to enhance clarity and structure while retaining every specific detail, metric, and constraint exactly as given.
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- Do not introduce any new information, context, or assumptions. Do not omit any details.
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