feat: ✨ Working tool calls

o
	new file:   llm_interface.py

.gitignore

@@ -1,6 +1,6 @@
 .continue/*
 .ropeproject/*
-random_*
+
 
 # Python-generated files
 __pycache__/

config.py

@@ -0,0 +1,72 @@
+# App config
+LM_STUDIO_URL = "http://127.0.0.1:1234/v1/chat/completions"
+EXIT_STRINGS = ['exit','goodbye','go away','fuck off', 'bye']
+
+# LLM Config
+SYSTEM_MESSAGE = '''You have the following tools available, 
+if you cant use a tool, you dont need to tell me, just answer normally.
+if you are using a tool reply only with the exact JSON format shown in examples with NO SPACES and NO OTHER TEXT.
+
+CRITICAL: When calling tools, use COMPACT JSON with NO SPACES:
+- Correct: {"tool":"get_weather","parameters":{"city":"New York"}}
+- Wrong: { "tool": "get_weather", "parameters": { "city": "New York" } }
+
+{
+  "name": "get_weather",
+  "description": "Get current weather for a location",
+  "examples": [
+    {
+      "input": {"tool":"get_weather","parameters":{"city":"New York"}},
+      "output": {"temperature": 22, "condition": "partly cloudy", "humidity": 65}
+    },
+    {
+      "input": {"tool":"get_weather","parameters":{"city":"London"}},
+      "output": {"temperature": 18, "condition": "rainy", "humidity": 80}
+    }
+  ]
+},
+{
+  "name": "find_folder",
+  "description": "Find any folder that matches the name provided on your machine or an optional directory",
+  "examples": [
+    {
+      "input": {"tool":"find_folder","parameters":{"folder_name":"devin"}},
+    },
+    {
+      "input": {"tool":"find_folder","parameters":{"folder_name":"winutils"}},
+    }
+  ]
+}'''
+
+# Tool config
+# WMO Weather interpretation codes mapping
+WEATHER_CODE_MAP = {
+    0: "Clear sky",
+    1: "Mainly clear", 
+    2: "Partly cloudy", 
+    3: "Overcast",
+    45: "Fog", 
+    48: "Depositing rime fog",
+    51: "Light drizzle", 
+    53: "Moderate drizzle", 
+    55: "Dense drizzle",
+    56: "Light freezing drizzle", 
+    57: "Dense freezing drizzle",
+    61: "Slight rain", 
+    63: "Moderate rain", 
+    65: "Heavy rain",
+    66: "Light freezing rain", 
+    67: "Heavy freezing rain",
+    71: "Slight snow", 
+    73: "Moderate snow", 
+    75: "Heavy snow",
+    77: "Snow grains",
+    80: "Slight rain showers", 
+    81: "Moderate rain showers", 
+    82: "Violent rain showers",
+    85: "Slight snow showers", 
+    86: "Heavy snow showers",
+    95: "Thunderstorm", 
+    96: "Thunderstorm with slight hail", 
+    99: "Thunderstorm with heavy hail"
+}

llm_interface.py

@@ -0,0 +1,73 @@
+import config
+from tools import ToolExecutor
+import requests
+from rich import print
+from rich.prompt import Prompt
+
+#TODO: context squish when it gets big
+
+class llm():
+    def __init__(self, logger) -> None:
+        self.logger = logger
+        self.first_prompt = 1
+        self.context = {
+            "history": [],
+            "summary": None,
+            "metadata": {
+                "created_at": None,
+                "token_budget": 8000,
+            }
+        }
+
+    def summarise_context(self):
+        # add ai summary & created at time
+        pass
+
+    def add_to_history(self, history_object):
+        self.context['history'].append(history_object)
+        self.logger.debug(self.context['history'])
+
+    def ask_model(self, prompt: str, url=config.LM_STUDIO_URL) -> str:
+        # prompt = config.PRE_PROMPT + prompt
+        payload = {
+        "model": 'qwen/qwen3-coder-30b',
+        "messages": [],
+        "temperature": 0.7,
+        "max_tokens": 2048,
+        }
+        self.add_to_history({"role": "user", "content": prompt})
+
+        payload["messages"] = [
+                {"role": "system", "content": config.SYSTEM_MESSAGE}
+            ] + self.context['history']
+        self.logger.debug(f'json payload: {payload}')
+        resp = requests.post(url, json=payload)
+        resp.raise_for_status()
+        self.logger.debug(resp.json())
+        self.add_to_history(resp.json()["choices"][0]["message"])
+        return resp.json()["choices"][0]["message"]["content"].strip()
+    
+    def tool_response(self, prompt: str, url=config.LM_STUDIO_URL) -> str:
+        payload = {
+        "model": 'qwen/qwen3-coder-30b',
+        "messages": [],
+        "temperature": 0.7,
+        "max_tokens": 2048,
+        }
+        payload["messages"] =  [{"role": "tool", "content": prompt}]
+        resp = requests.post(url, json=payload)
+        resp.raise_for_status()
+        self.logger.debug(resp.json())
+        return resp.json()["choices"][0]["message"]["content"].strip()
+
+    def get_llm_prompt(self):
+        while True:
+            llm_prompt = Prompt.ask("[bold cyan]Ask your local llm[/]")
+            self.logger.debug(f'prompt is: {llm_prompt}')
+            if llm_prompt == '':
+                self.logger.error("Cannot be empty!")
+            return llm_prompt
+
+    def handle_llm_reply(self, llm_reply:str):
+        architect = ToolExecutor(self.logger)
+        return architect.process_llm_response(llm_output=llm_reply)

main.py

@@ -1,91 +1,51 @@
 from rich import print
 from rich.console import Console
-from rich.table import Table
 from rich.panel import Panel
-from rich.progress import Progress, SpinnerColumn, BarColumn, track
 from rich.markdown import Markdown
-from rich.syntax import Syntax
-from rich.live import Live
-from rich.prompt import Prompt
-import requests
-import sys
-from tools import ToolExecutor
-import random
-import time
 
-LM_STUDIO_URL = "http://127.0.0.1:1234/v1/chat/completions"
+import sys
-EXIT_STRINGS = ['exit','goodbye','go away','fuck off']
+
+import time
+import config
+from llm_interface import llm
+
+import logging
+
+#TODO: add context for llm calls so we have history and can chain messages
 
 console = Console()
 
-PRE_PROMPT = '''You have the following tools available, only use the tools if you need to.
+class RichConsoleHandler(logging.StreamHandler):
-please reply with only the tool call if you need to
+    def emit(self, record):
-{
+        if record.levelno >= logging.CRITICAL:
-  "name": "get_weather",
+            console.print(f"[bold magenta]CRITICAL:[/bold magenta] {record.getMessage()}")
-  "description": "Get current weather for a location",
+        elif record.levelno >= logging.ERROR:
-  "examples": [
+            console.print(f"[bold red]ERROR:[/bold red] {record.getMessage()}")
-    {
+        elif record.levelno >= logging.WARNING:
-      "input": {"tool": "get_weather", "parameters":{"city":"New York"}},
+            console.print(f"[bold yellow]WARNING:[/bold yellow] {record.getMessage()}")
-      "output": {"temperature": 22, "condition": "partly cloudy", "humidity": 65}
+        # elif record.levelno >= logging.INFO:
-    },
+        #     console.print(f"[bold blue]INFO:[/bold blue] {record.getMessage()}")
-    {
+        # elif record.levelno >= logging.DEBUG:
-      "input": {"tool": "get_weather", "parameters":{"city":"London"}},
+        #     console.print(f"[bold green]DEBUG:[/bold green] {record.getMessage()}")
-      "output": {"temperature": 18, "condition": "rainy", "humidity": 80}
-    }
-  ]
-}'''
 
-def ask_model(prompt: str, url=LM_STUDIO_URL) -> str:
-    payload = {
-        "model": 'qwen/qwen3-coder-30b',
-        "messages": [{"role": "user", "content": PRE_PROMPT+prompt}],
-        "temperature": 0.7,
-        "max_tokens": 2048,
-    }
-    resp = requests.post(url, json=payload)
-    resp.raise_for_status()
-    return resp.json()["choices"][0]["message"]["content"].strip()
             
-def ask_model_no_pre(prompt: str, url=LM_STUDIO_URL) -> str:
+def main(logger):
-    payload = {
+    logger.info('Application Started')
-        #"model": 'qwen/qwen3-coder-30b',
+    language_model = llm(logger)
-        "model": 'openai/gpt-oss-20b',
-        "messages": [{"role": "user", "content": prompt}],
-        "temperature": 0.7,
-        "max_tokens": 2048,
-    }
-    resp = requests.post(url, json=payload)
-    resp.raise_for_status()
-    return resp.json()["choices"][0]["message"]["content"].strip()
-
-def get_llm_prompt():
     while True:
-        llm_prompt = Prompt.ask("[bold cyan]Ask your local llm[/]")
+        llm_prompt = language_model.get_llm_prompt()
-        if llm_prompt.strip():
+        if llm_prompt.lower() in config.EXIT_STRINGS:
-            return llm_prompt.strip()
-        console.print("[red]Cannot be empty![/]", style="bold")
-        return llm_prompt
-
-def handle_llm_reply(llm_reply:str):
-    architect = ToolExecutor()
-    return architect.process_llm_response(llm_output=llm_reply)
-
-def main():
-    while True:
-        llm_prompt = get_llm_prompt()
-        if llm_prompt.lower() in EXIT_STRINGS:
             sys.exit()
         start = time.time()
           
-        llm_reply = ask_model(llm_prompt)
+        llm_reply = language_model.ask_model(llm_prompt)
-        print(llm_reply)
+        logger.info(f"LLM Reply: {llm_reply}")
-        handled_response = handle_llm_reply(llm_reply)
+        handled_response = language_model.handle_llm_reply(llm_reply)
-        print(handled_response)
+        logger.info(f"Handled Response: {handled_response}")
-        print(handled_response == llm_reply)
+        logger.info(f"Response equals original: {handled_response == llm_reply}")
 
         if handled_response != llm_reply:
-            output = ask_model_no_pre(prompt=f'Make this lovely markdown, use fun emojis {handled_response}')
+            output = language_model.tool_response(prompt=f'Make this lovely markdown, use fun emojis {handled_response}')
-
         elif handled_response == llm_reply:
             output = handled_response
 
@@ -99,5 +59,21 @@ def main():
         console.print(panel_narrow)
 
 if __name__ == "__main__":
-    main()
+    # Setup logging with custom handler for warnings and errors
+    logging.basicConfig(
+        level=logging.DEBUG,
+        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
+        handlers=[
+            logging.FileHandler('app.log')
+        ]
+    )
+    
+    logger = logging.getLogger(__name__)
+    logger.addHandler(RichConsoleHandler())
+    logger.info("Logging Instantiated")
+    
+    main(logger)
+    
+
+
 

random_bullshit.py

@@ -1,46 +0,0 @@
-# def ask_name() -> str:
-#     """Ask for a name and keep asking until it's not empty."""
-#     while True:
-#         name = Prompt.ask("[bold cyan]What is your name?[/]")
-#         if name.strip():
-#             return name.strip()
-#         console.print("[red]Name cannot be empty![/]", style="bold")
-
-# def ask_age() -> int:
-#     """Ask for age and validate it's a positive integer."""
-#     while True:
-#         age_str = Prompt.ask("[bold cyan]How old are you?[/]")
-#         try:
-#             age = int(age_str)
-#             if age <= 0:
-#                 raise ValueError
-#             return age
-#         except ValueError:
-#             console.print("[red]Please enter a valid positive integer.[/]", style="bold")
-
-pre_prompt = '''{
-  "name": "get_weather",
-  "description": "Get current weather for a location",
-  "parameters": {
-    "type": "object",
-    "properties": {
-      "city": {"type": "string", "description": "City name"},
-      "units": {"type": "string", "enum": ["celsius", "fahrenheit"], "description": "Temperature units"}
-    },
-    "required": ["city"]
-  },
-  "examples": [
-    {
-      "input": {"city": "New York", "units": "celsius"},
-      "output": {"temperature": 22, "condition": "partly cloudy", "humidity": 65}
-    },
-    {
-      "input": {"city": "London"},
-      "output": {"temperature": 18, "condition": "rainy", "humidity": 80}
-    }
-  ]
-}'''
-
-# def get_weather(city, units="celsius"):
-#     # Your logic here (API calls, calculations, etc.)
-#     return {"temperature": 25, "condition": "sunny"}

tools.py

@@ -3,56 +3,28 @@ import openmeteo_requests
 import requests_cache
 from retry_requests import retry
 import json
-
+import config
-# WMO Weather interpretation codes mapping
+import logging
-WEATHER_CODE_MAP = {
+import os
-    0: "Clear sky",
+import subprocess
-    1: "Mainly clear", 
-    2: "Partly cloudy", 
-    3: "Overcast",
-    45: "Fog", 
-    48: "Depositing rime fog",
-    51: "Light drizzle", 
-    53: "Moderate drizzle", 
-    55: "Dense drizzle",
-    56: "Light freezing drizzle", 
-    57: "Dense freezing drizzle",
-    61: "Slight rain", 
-    63: "Moderate rain", 
-    65: "Heavy rain",
-    66: "Light freezing rain", 
-    67: "Heavy freezing rain",
-    71: "Slight snow", 
-    73: "Moderate snow", 
-    75: "Heavy snow",
-    77: "Snow grains",
-    80: "Slight rain showers", 
-    81: "Moderate rain showers", 
-    82: "Violent rain showers",
-    85: "Slight snow showers", 
-    86: "Heavy snow showers",
-    95: "Thunderstorm", 
-    96: "Thunderstorm with slight hail", 
-    99: "Thunderstorm with heavy hail"
-}
 
 class ToolExecutor:
-    def __init__(self):
+    def __init__(self, logger):
         self.tools = {
-            "get_weather": self.get_weather
+            "get_weather": self.get_weather,
+            "find_folder": self.find_folder
         }
+        self.logger = logger
 
     def process_llm_response(self, llm_output):  
-        
-        # Parse the tool call from LLM response
         if llm_output.startswith('{"tool":'):
-
+        # Parse the tool call from LLM response
             llm_output = json.loads(llm_output)
             
-            print(llm_output)
+            self.logger.info(f"Parsed LLM output: {llm_output}")
             tool_name = llm_output.get("tool",'no tool')
             parameters = llm_output.get("parameters", 'no parameters')
-            print(f'parsed tool: {tool_name}, parsed parameters: {parameters}')
+            self.logger.info(f'parsed tool: {tool_name}, parsed parameters: {parameters}')
             
             # Execute the actual function
             result = self.tools[tool_name](**parameters)
@@ -64,7 +36,7 @@ class ToolExecutor:
     def get_weather(self, city: str, units: str = "celsius"):
         """Get current weather for a location using Open-Meteo API with openmeteo-requests library."""
         
-        print(f'get weather called, city = {city}')
+        self.logger.info(f'get weather called, city = {city}')
         if not city:
             raise ValueError("City parameter is required")
         
@@ -86,7 +58,7 @@ class ToolExecutor:
             geo_response = requests.get(geocoding_url, params=geocoding_params, timeout=10)
             geo_response.raise_for_status()
             geo_data = geo_response.json()
-            print(f'Geo data for city: {geo_data}')
+            self.logger.info(f'Geo data for city: {geo_data}')
             
             if not geo_data.get("results"):
                 raise Exception(f"City '{city}' not found")
@@ -119,11 +91,11 @@ class ToolExecutor:
             
             responses = openmeteo.weather_api(url, params=params)
             response = responses[0]
-            print(f'Weather API response: {response}')
+            self.logger.info(f'Weather API response: {response}')
 
             # Get current weather data
             current = response.Current()
-            print(f'Current weather data: {current}')
+            self.logger.info(f'Current weather data: {current}')
             
             # Extract values using the library's methods
             temperature = current.Variables(0).Value()  # temperature_2m
@@ -132,7 +104,7 @@ class ToolExecutor:
             pressure = current.Variables(3).Value()    # surface_pressure
             wind_speed = current.Variables(4).Value()  # wind_speed_10m
             
-            condition = WEATHER_CODE_MAP.get(weather_code, "Unknown")
+            condition = config.WEATHER_CODE_MAP.get(weather_code, "Unknown")
             
 
             json_reply = {
@@ -146,8 +118,43 @@ class ToolExecutor:
                 "country": country,
                 "coordinates": {"latitude": latitude, "longitude": longitude}
             }
-            print(json_reply)
+            self.logger.info(f"Weather data result: {json_reply}")
             return json_reply
             
         except Exception as e:
             raise Exception(f"Weather lookup failed: {str(e)}")
+
+    def find_folder(self, folder_name: str, search_path: str = "/home/"):
+        """Search for folders with a specific name on the PC."""
+        
+        self.logger.info(f'find_folder called, folder_name = {folder_name}, search_path = {search_path}')
+        
+        if not folder_name:
+            raise ValueError("folder_name parameter is required")
+        
+        try:
+            found_folders = []
+            # Use find command to search for directories
+            cmd = ['find', search_path, '-type', 'd', '-name', folder_name]
+            result = subprocess.run(cmd, capture_output=True, text=True, timeout=30)
+            self.logger.warning(result)
+            if result.stdout:
+                found_folders = [path.strip() for path in result.stdout.split('\n') if path.strip()]
+            
+            # Limit results to first 50 to avoid overwhelming output
+            found_folders = found_folders[:50]
+            
+            json_reply = {
+                "folder_name": folder_name,
+                "search_path": search_path,
+                "found_folders": found_folders,
+                "count": len(found_folders)
+            }
+            
+            self.logger.info(f"Folder search result: {json_reply}")
+            return json_reply
+            
+        except subprocess.TimeoutExpired:
+            raise Exception("Folder search timed out after 30 seconds")
+        except Exception as e:
+            raise Exception(f"Folder search failed: {str(e)}")