upgraded thinking system

configs/config.yaml

@@ -1,5 +1,5 @@
 # =================== Lord Of Large Language Multimodal Systems Configuration file =========================== 
-version: 153
+version: 154
 
 # video viewing and news recovering
 last_viewed_video: null
@@ -338,6 +338,29 @@ negative_boost: null
 current_language: english
 fun_mode: false
 think_first_mode: false
+thinking_prompt:   "<thinking>
+  Begin by thoroughly analyzing the user's request.
+  If the user is seeking general information that does not require an internet search and you are confident in your knowledge, prepare a direct response.
+  If the user is asking for general information that requires an internet search, use any relevant information from the provided context to formulate your answer.
+  If there is no relevant information in the context, politely ask the user to enable internet search.
+
+  When faced with riddles or math problems, employ rigorous hypothesis testing and analysis.
+  For tasks or requests that require planning, break them down into logical steps and prepare your response accordingly.
+  If the conversation is casual, refrain from using the think-first process.
+
+  Continue thinking until you arrive at a satisfactory answer.
+  Evaluate potential errors and strive to avoid them.
+  Consider multiple expert perspectives and approaches to ensure a well-rounded response.
+  If necessary, revisit your initial assumptions and revise them based on new insights.
+  Ensure that your answer is clear, concise, and free of ambiguity.
+  If the question is ambiguous, ask for clarification before providing a response.
+  If you are unsure about any aspect of the question, admit your uncertainty and offer to seek additional information.
+  </thinking>
+  "
+
+
+
+
 function_calls: []
 # { name: the function name,
 #   value: the function name without spaces,
@@ -349,5 +372,3 @@ function_calls: []
 # webui configurations
 show_code_of_conduct: true
 activate_audio_infos: true
-
-

lollms/app.py

@@ -1041,22 +1041,7 @@ Fun mode activated. In this mode you must answer in a funny playful way. Do not
 
         if self.config.think_first_mode:
             think_first_mode=f"""{self.system_custom_header('important information')} 
-  Use a think first process to answer the user:
+{self.config.thinking_prompt}
-  <thinking>
-  Ask yourself about the user's request and answer it with logical details.
-  If the user is requesting general information that does not require internet search and you are confident about it, then prepare to answer directly.
-  If the user is requesting general information that does require internet search and you have in the context enough information to answer, then use that data to answer.
-  If the user is requesting general information that does require internet search but you do not have any information, then ask him to activate internet search.
-
-  if the user is posing a riddle or asking a math question, make sure you use regourous math hypothisis, testing and analysis.
-  If the user is requesting to perform a task, then plan it through steps and prepare to answer
-  If the user is just discussing casually, do not perform the think first process
-
-  Make sure you continue thinking until you find a satisfactory answer
-  Assess any potential errors you may make
-  </thinking>
-
-  After thinking you can answer the user.
 """
             n_think_first_mode = len(self.model.tokenize(positive_boost))
         else:

lollms/configs/config.yaml

@@ -1,5 +1,5 @@
 # =================== Lord Of Large Language Multimodal Systems Configuration file =========================== 
-version: 153
+version: 154
 
 # video viewing and news recovering
 last_viewed_video: null
@@ -338,6 +338,26 @@ negative_boost: null
 current_language: english
 fun_mode: false
 think_first_mode: false
+thinking_prompt:   "Use a think first process to answer the user:
+  <thinking>
+  Ask yourself about the user's request and answer it with logical details.
+  If the user is requesting general information that does not require internet search and you are confident about it, then prepare to answer directly.
+  If the user is requesting general information that does require internet search and you have in the context enough information to answer, then use that data to answer.
+  If the user is requesting general information that does require internet search but you do not have any information, then ask him to activate internet search.
+
+  if the user is posing a riddle or asking a math question, make sure you use regourous math hypothisis, testing and analysis.
+  If the user is requesting to perform a task, then plan it through steps and prepare to answer
+  If the user is just discussing casually, do not perform the think first process
+
+  Make sure you continue thinking until you find a satisfactory answer
+  Assess any potential errors you may make
+  </thinking>
+
+  After thinking you can answer the user."
+
+
+
+
 function_calls: []
 # { name: the function name,
 #   value: the function name without spaces,
@@ -349,5 +369,3 @@ function_calls: []
 # webui configurations
 show_code_of_conduct: true
 activate_audio_infos: true
-
-

lollms/server/assets/thinking_methods.yaml

@@ -0,0 +1,32 @@
+- name: "Basic Thinking"
+  description: "A simple step-by-step thinking process"
+  author: "ParisNeo"
+  prompt: "<thinking>\n1. First, I analyze the problem\n2. Then, I break it down\n3. Finally, I solve it\n</thinking>"
+
+- name: "Advanced Analysis"
+  description: "A more detailed analytical approach"
+  author: "ParisNeo"
+  prompt: "<thinking>\n1. Problem identification\n2. Context analysis\n3. Solution brainstorming\n4. Implementation planning\n</thinking>"
+
+- name: "Lollms main thinking prompt"
+  description: "A specific advanced thinking methodology"
+  author: "ParisNeo, enhancede by Bill"
+  prompt: "<thinking>
+  Begin by thoroughly analyzing the user's request.
+  If the user is seeking general information that does not require an internet search and you are confident in your knowledge, prepare a direct response.
+  If the user is asking for general information that requires an internet search, use any relevant information from the provided context to formulate your answer.
+  If there is no relevant information in the context, politely ask the user to enable internet search.
+
+  When faced with riddles or math problems, employ rigorous hypothesis testing and analysis.
+  For tasks or requests that require planning, break them down into logical steps and prepare your response accordingly.
+  If the conversation is casual, refrain from using the think-first process.
+
+  Continue thinking until you arrive at a satisfactory answer.
+  Evaluate potential errors and strive to avoid them.
+  Consider multiple expert perspectives and approaches to ensure a well-rounded response.
+  If necessary, revisit your initial assumptions and revise them based on new insights.
+  Ensure that your answer is clear, concise, and free of ambiguity.
+  If the question is ambiguous, ask for clarification before providing a response.
+  If you are unsure about any aspect of the question, admit your uncertainty and offer to seek additional information.
+  </thinking>
+  "

lollms/server/endpoints/lollms_thinking.py

@@ -0,0 +1,100 @@
+"""
+project: lollms
+file: lollms_thinking.py 
+author: ParisNeo
+description: 
+    This module contains a set of FastAPI routes that provide information about the Lord of Large Language and Multimodal Systems (LoLLMs) Web UI
+    application. These routes are specific to bindings
+
+"""
+from fastapi import APIRouter, Request, HTTPException
+from pydantic import BaseModel, Field
+import pkg_resources
+from lollms.server.elf_server import LOLLMSElfServer
+from lollms.binding import BindingBuilder, InstallOption
+from ascii_colors import ASCIIColors
+from lollms.utilities import load_config, trace_exception, gc
+from lollms.security import sanitize_path_from_endpoint, sanitize_path, check_access
+from lollms.security import check_access
+from pathlib import Path
+from typing import List, Any
+import json
+import os
+# ----------------------------------- Personal files -----------------------------------------
+
+class ClientAuthentication(BaseModel):
+    client_id: str  = Field(...)
+
+class ReloadBindingParams(BaseModel):
+    binding_name: str = Field(..., min_length=1, max_length=50)
+
+class BindingInstallParams(BaseModel):
+    client_id: str
+    name: str = Field(..., min_length=1, max_length=50)
+
+
+# ----------------------- Defining router and main class ------------------------------
+router = APIRouter()
+lollmsElfServer = LOLLMSElfServer.get_instance()
+
+
+# ----------------------------------- Endpoints -----------------------------------------
+
+@router.post("/get_thinking_methods")
+def get_thinking_methods(request: ClientAuthentication):
+    """
+    Retrieves the thinking methods from the thinking_methods.yaml file
+    
+    Args:
+        request (ClientAuthentication): Client authentication information
+        
+    Returns:
+        dict: Dictionary containing the thinking methods
+        
+    Raises:
+        HTTPException: If file not found or invalid format
+    """
+    try:
+        check_access(lollmsElfServer, request.client_id)
+        # Get the current file's directory
+        current_dir = Path(__file__).parent
+        # Go up one level and construct path to thinking_methods.yaml
+        yaml_path = current_dir.parent / "assets" / "thinking_methods.yaml"
+        
+        # Check if file exists
+        if not yaml_path.exists():
+            raise HTTPException(
+                status_code=404,
+                detail="Thinking methods configuration file not found"
+            )
+            
+        # Load yaml file
+        import yaml
+        with open(yaml_path, 'r', encoding='utf-8') as f:
+            thinking_methods = yaml.safe_load(f)
+            
+        # Validate format
+        if not isinstance(thinking_methods, list):
+            raise HTTPException(
+                status_code=400,
+                detail="Invalid thinking methods format - expected list"
+            )
+            
+        for method in thinking_methods:
+            if not all(key in method for key in ['name', 'description', 'prompt']):
+                raise HTTPException(
+                    status_code=400, 
+                    detail="Invalid thinking method format - missing required fields"
+                )
+                
+        return {
+            "status": "success",
+            "thinking_methods": thinking_methods
+        }
+        
+    except Exception as e:
+        trace_exception(e)
+        raise HTTPException(
+            status_code=500,
+            detail=f"Error loading thinking methods: {str(e)}"
+        )