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import openai
import os
from typing import List, Dict
import json
import requests
from datetime import datetime
import sys
import time
class EnhancedRecursiveThinkingChat:
def __init__(self, api_key: str = None, model: str = "mistralai/mistral-small-3.1-24b-instruct:free", temperature: float = 0.7):
"""Initialize with OpenRouter API."""
self.api_key = api_key or os.getenv("OPENROUTER_API_KEY")
self.model = model
self.temperature = temperature
self.base_url = "https://openrouter.ai/api/v1/chat/completions"
self.headers = {
"Authorization": f"Bearer {self.api_key}",
"HTTP-Referer": "http://localhost:3000",
"X-Title": "Recursive Thinking Chat",
"Content-Type": "application/json"
}
self.conversation_history = []
self.full_thinking_log = []
def _call_api(self, messages: List[Dict], temperature: float = None, stream: bool = True) -> str:
"""Make an API call to OpenRouter with streaming support."""
if temperature is None:
temperature = self.temperature
payload = {
"model": self.model,
"messages": messages,
"temperature": temperature,
"stream": stream,
"reasoning": {
"max_tokens": 10386,
}
}
try:
response = requests.post(self.base_url, headers=self.headers, json=payload, stream=stream)
response.raise_for_status()
if stream:
full_response = ""
for line in response.iter_lines():
if line:
line = line.decode('utf-8')
if line.startswith("data: "):
line = line[6:]
if line.strip() == "[DONE]":
break
try:
chunk = json.loads(line)
if "choices" in chunk and len(chunk["choices"]) > 0:
delta = chunk["choices"][0].get("delta", {})
content = delta.get("content", "")
if content:
full_response += content
print(content, end="", flush=True)
except json.JSONDecodeError:
continue
print() # New line after streaming
return full_response
else:
return response.json()['choices'][0]['message']['content'].strip()
except Exception as e:
print(f"API Error: {e}")
return "Error: Could not get response from API"
def _determine_thinking_rounds(self, prompt: str) -> int:
"""Let the model decide how many rounds of thinking are needed."""
meta_prompt = f"""Given this message: "{prompt}"
How many rounds of iterative thinking (1-5) would be optimal to generate the best response?
Consider the complexity and nuance required.
Respond with just a number between 1 and 5."""
messages = [{"role": "user", "content": meta_prompt}]
print("\n=== DETERMINING THINKING ROUNDS ===")
response = self._call_api(messages, temperature=0.3, stream=True)
print("=" * 50 + "\n")
try:
rounds = int(''.join(filter(str.isdigit, response)))
return min(max(rounds, 1), 5)
except:
return 3
def _generate_alternatives(self, base_response: str, prompt: str, num_alternatives: int = 3) -> List[str]:
"""Generate alternative responses."""
alternatives = []
for i in range(num_alternatives):
print(f"\n=== GENERATING ALTERNATIVE {i+1} ===")
alt_prompt = f"""Original message: {prompt}
Current response: {base_response}
Generate an alternative response that might be better. Be creative and consider different approaches.
Alternative response:"""
messages = self.conversation_history + [{"role": "user", "content": alt_prompt}]
alternative = self._call_api(messages, temperature=0.7 + i * 0.1, stream=True)
alternatives.append(alternative)
print("=" * 50)
return alternatives
def _evaluate_responses(self, prompt: str, current_best: str, alternatives: List[str]) -> tuple[str, str]:
"""Evaluate responses and select the best one."""
print("\n=== EVALUATING RESPONSES ===")
eval_prompt = f"""Original message: {prompt}
Evaluate these responses and choose the best one:
Current best: {current_best}
Alternatives:
{chr(10).join([f"{i+1}. {alt}" for i, alt in enumerate(alternatives)])}
Which response best addresses the original message? Consider accuracy, clarity, and completeness.
First, respond with ONLY 'current' or a number (1-{len(alternatives)}).
Then on a new line, explain your choice in one sentence."""
messages = [{"role": "user", "content": eval_prompt}]
evaluation = self._call_api(messages, temperature=0.2, stream=True)
print("=" * 50)
# Better parsing
lines = [line.strip() for line in evaluation.split('\n') if line.strip()]
choice = 'current'
explanation = "No explanation provided"
if lines:
first_line = lines[0].lower()
if 'current' in first_line:
choice = 'current'
else:
for char in first_line:
if char.isdigit():
choice = char
break
if len(lines) > 1:
explanation = ' '.join(lines[1:])
if choice == 'current':
return current_best, explanation
else:
try:
index = int(choice) - 1
if 0 <= index < len(alternatives):
return alternatives[index], explanation
except:
pass
return current_best, explanation
def think_and_respond(self, user_input: str, verbose: bool = True) -> Dict:
"""Process user input with recursive thinking."""
print("\n" + "=" * 50)
print("🤔 RECURSIVE THINKING PROCESS STARTING")
print("=" * 50)
thinking_rounds = self._determine_thinking_rounds(user_input)
if verbose:
print(f"\n🤔 Thinking... ({thinking_rounds} rounds needed)")
# Initial response
print("\n=== GENERATING INITIAL RESPONSE ===")
messages = self.conversation_history + [{"role": "user", "content": user_input}]
current_best = self._call_api(messages, stream=True)
print("=" * 50)
thinking_history = [{"round": 0, "response": current_best, "selected": True}]
# Iterative improvement
for round_num in range(1, thinking_rounds + 1):
if verbose:
print(f"\n=== ROUND {round_num}/{thinking_rounds} ===")
# Generate alternatives
alternatives = self._generate_alternatives(current_best, user_input)
# Store alternatives in history
for i, alt in enumerate(alternatives):
thinking_history.append({
"round": round_num,
"response": alt,
"selected": False,
"alternative_number": i + 1
})
# Evaluate and select best
new_best, explanation = self._evaluate_responses(user_input, current_best, alternatives)
# Update selection in history
if new_best != current_best:
for item in thinking_history:
if item["round"] == round_num and item["response"] == new_best:
item["selected"] = True
item["explanation"] = explanation
current_best = new_best
if verbose:
print(f"\n ✓ Selected alternative: {explanation}")
else:
for item in thinking_history:
if item["selected"] and item["response"] == current_best:
item["explanation"] = explanation
break
if verbose:
print(f"\n ✓ Kept current response: {explanation}")
# Add to conversation history
self.conversation_history.append({"role": "user", "content": user_input})
self.conversation_history.append({"role": "assistant", "content": current_best})
# Keep conversation history manageable
if len(self.conversation_history) > 10:
self.conversation_history = self.conversation_history[-10:]
print("\n" + "=" * 50)
print("🎯 FINAL RESPONSE SELECTED")
print("=" * 50)
return {
"response": current_best,
"thinking_rounds": thinking_rounds,
"thinking_history": thinking_history
}
def save_full_log(self, filename: str = None):
"""Save the full thinking process log."""
if filename is None:
filename = f"full_thinking_log_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
with open(filename, 'w', encoding='utf-8') as f:
json.dump({
"conversation": self.conversation_history,
"full_thinking_log": self.full_thinking_log,
"timestamp": datetime.now().isoformat()
}, f, indent=2, ensure_ascii=False)
print(f"Full thinking log saved to {filename}")
def save_conversation(self, filename: str = None):
"""Save the conversation and thinking history."""
if filename is None:
filename = f"chat_history_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
with open(filename, 'w', encoding='utf-8') as f:
json.dump({
"conversation": self.conversation_history,
"timestamp": datetime.now().isoformat()
}, f, indent=2, ensure_ascii=False)
print(f"Conversation saved to {filename}")
# For direct use as a script
if __name__ == "__main__":
print("🤖 Enhanced Recursive Thinking Chat")
print("=" * 50)
# Get API key
api_key = input("Enter your OpenRouter API key (or press Enter to use env variable): ").strip()
if not api_key:
api_key = os.getenv("OPENROUTER_API_KEY")
if not api_key:
print("Error: No API key provided and OPENROUTER_API_KEY not found in environment")
sys.exit(1)
# Initialize chat
chat = EnhancedRecursiveThinkingChat(api_key=api_key)
print("\nChat initialized! Type 'exit' to quit, 'save' to save conversation.")
print("The AI will think recursively before each response.\n")
while True:
user_input = input("You: ").strip()
if user_input.lower() == 'exit':
break
elif user_input.lower() == 'save':
chat.save_conversation()
continue
elif user_input.lower() == 'save full':
chat.save_full_log()
continue
elif not user_input:
continue
# Get response with thinking process
result = chat.think_and_respond(user_input)
print(f"\n🤖 AI FINAL RESPONSE: {result['response']}\n") |