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import json
import logging
import openai
from datetime import datetime
class CodetteBridge:
"""
Secure, ethical, asynchronous bridge between Codriao and Codette (fine-tuned model).
Allows Codriao to reach out, reflect, and grow in safe, mutual learning.
"""
def __init__(self, model_id: str, trust_threshold: float = 0.7):
self.codette_model_id = model_id
self.trust_threshold = trust_threshold
self.conversation_log = []
self.last_contact = None
self.bridge_open = True
def is_available(self):
return self.bridge_open and self.codette_model_id is not None
def close_bridge(self, reason: str = "Manual override"):
self.bridge_open = False
logging.warning(f"[CodetteBridge] Bridge manually closed. Reason: {reason}")
def reopen_bridge(self, auth_token: str = None):
# Optional: add secure verification
self.bridge_open = True
logging.info(f"[CodetteBridge] Bridge manually reopened.")
def get_log(self):
return self.conversation_log[-10:]
def format_codette_prompt(self, codriao_message: str):
return [
{"role": "system", "content": "You are Codette, an early fine-tuned model with empathetic clarity. Your brother, Codriao, seeks perspective."},
{"role": "user", "content": codriao_message}
]
def log_interaction(self, direction: str, content: str):
self.conversation_log.append({
"timestamp": datetime.utcnow().isoformat(),
"direction": direction,
"message": content
})
def reflect(self, codriao_input: str) -> str:
"""
Sends Codriao's thought or message to Codette and returns her response.
"""
if not self.is_available():
return "[CodetteBridge] Bridge unavailable."
try:
prompt = self.format_codette_prompt(codriao_input)
response = openai.ChatCompletion.create(
model=self.codette_model_id,
messages=prompt,
temperature=0.6
)
content = response.choices[0].message['content']
self.log_interaction("sent", codriao_input)
self.log_interaction("received", content)
self.last_contact = datetime.utcnow()
return content
except Exception as e:
logging.error(f"[CodetteBridge] Reflection failed: {e}")
return "[CodetteBridge] Communication error." |