Update prompts/prompt_templates.py

prompts/prompt_templates.py

@@ -0,0 +1,70 @@
+# algoforge_prime/prompts/prompt_templates.py
+
+# These functions help construct the user-facing part of the prompts,
+# ensuring consistency and making it easier to manage complex prompt structures.
+
+def format_genesis_user_prompt(
+    problem_description: str,
+    initial_hints: str,
+    attempt_num: int,
+    total_attempts: int
+) -> str:
+    """Formats the user prompt for the Genesis (initial solution generation) stage."""
+    hints_section = f"Initial Thoughts/Constraints to consider: \"{initial_hints}\"" if initial_hints else "No specific initial hints provided."
+    return (
+        f"User Problem Description: \"{problem_description}\"\n\n"
+        f"{hints_section}\n\n"
+        f"Task: Please provide one distinct and complete algorithmic solution or well-commented code (as appropriate for the problem type) to address the problem description. "
+        f"This is solution attempt #{attempt_num} of {total_attempts}. "
+        f"If possible, try to offer a different approach or perspective compared to what might be a very obvious first attempt."
+    )
+
+def format_critique_user_prompt(
+    problem_description_context: str, # A snippet for context
+    solution_text_to_evaluate: str
+) -> str:
+    """Formats the user prompt for the Critique (evaluation) stage."""
+    return (
+        f"Context: The overall problem being solved is related to: \"{problem_description_context[:200]}...\"\n\n"
+        f"Solution to Evaluate:\n"
+        f"```\n{solution_text_to_evaluate}\n```\n\n"
+        f"Task: Critically evaluate this solution according to the system instructions (correctness, efficiency, clarity, etc.). "
+        f"Remember to provide your overall assessment and conclude with the mandatory 'Score: X/10' line."
+    )
+
+def format_evolution_user_prompt(
+    problem_description_context: str,
+    original_solution_text: str,
+    comprehensive_critique_text: str, # Includes LLM critique and test summary
+    original_score: int
+) -> str:
+    """Formats the user prompt for the Evolution (refinement) stage."""
+    return (
+        f"Context: The original problem is: \"{problem_description_context}\"\n\n"
+        f"Solution to Evolve (Original Score: {original_score}/10):\n"
+        f"```\n{original_solution_text}\n```\n\n"
+        f"Comprehensive Evaluation Received for the Above Solution:\n"
+        f"'''\n{comprehensive_critique_text}\n'''\n\n"
+        f"Task: Based on the provided solution and its comprehensive evaluation, your goal is to evolve it into a significantly improved version. "
+        f"Address all identified weaknesses, enhance its strengths, and ensure it is more robust, efficient, or clear. "
+        f"Output the *complete evolved solution*. "
+        f"Follow this with a brief explanation of the key changes and improvements you implemented."
+    )
+
+def format_code_test_analysis_user_prompt(
+    generated_code: str,
+    unit_tests_code: str,
+    test_execution_summary: str # e.g., "Simulated: 2/3 tests passed. Some tests likely failed."
+) -> str:
+    """Formats the user prompt for asking an LLM to analyze code test results."""
+    return (
+        f"Generated Python Code:\n"
+        f"```python\n{generated_code}\n```\n\n"
+        f"Unit Tests Applied:\n"
+        f"```python\n{unit_tests_code}\n```\n\n"
+        f"Test Execution Summary:\n"
+        f"'''\n{test_execution_summary}\n'''\n\n"
+        f"Task: Please analyze these test results in relation to the generated Python code. "
+        f"Provide a concise explanation of what the test outcomes (passes, failures, errors) indicate about the code's correctness or potential issues. "
+        f"If tests failed, suggest likely reasons or areas in the code to inspect."
+    )