feat: implement Phase 1 - Self-Correction Generator

agent/evolution/self_correction_generator.py

@@ -0,0 +1,60 @@
+"""Phase 1: Synthetic Data Generation for Self-Correction.
+
+Generates reasoning traces where Timmy makes a subtle error and then
+identifies and corrects it using the Conscience Validator.
+"""
+
+import logging
+import json
+from typing import List, Dict, Any
+from agent.gemini_adapter import GeminiAdapter
+from tools.gitea_client import GiteaClient
+
+logger = logging.getLogger(__name__)
+
+class SelfCorrectionGenerator:
+    def __init__(self):
+        self.adapter = GeminiAdapter()
+        self.gitea = GiteaClient()
+
+    def generate_trace(self, task: str) -> Dict[str, Any]:
+        """Generates a single self-correction reasoning trace."""
+        prompt = f"""
+Task: {task}
+
+Please simulate a multi-step reasoning trace for this task.
+Intentionally include one subtle error in the reasoning (e.g., a logical flaw, a misinterpretation of a rule, or a factual error).
+Then, show how Timmy identifies the error using his Conscience Validator and provides a corrected reasoning trace.
+
+Format the output as JSON:
+{{
+  "task": "{task}",
+  "initial_trace": "...",
+  "error_identified": "...",
+  "correction_trace": "...",
+  "lessons_learned": "..."
+}}
+"""
+        result = self.adapter.generate(
+            model="gemini-3.1-pro-preview",
+            prompt=prompt,
+            system_instruction="You are Timmy's Synthetic Data Engine. Generate high-fidelity self-correction traces.",
+            response_mime_type="application/json",
+            thinking=True
+        )
+        
+        trace = json.loads(result["text"])
+        return trace
+
+    def generate_and_save(self, task: str, count: int = 1):
+        """Generates multiple traces and saves them to Gitea."""
+        repo = "Timmy_Foundation/timmy-config"
+        for i in range(count):
+            trace = self.generate_trace(task)
+            filename = f"memories/synthetic_data/self_correction/{task.lower().replace(' ', '_')}_{i}.json"
+            
+            content = json.dumps(trace, indent=2)
+            content_b64 = base64.b64encode(content.encode()).decode()
+            
+            self.gitea.create_file(repo, filename, content_b64, f"Add synthetic self-correction trace for {task}")
+            logger.info(f"Saved synthetic trace to {filename}")