agent loop is ready

functions/call_function.py

@@ -1,8 +1,8 @@
 from google.genai import types
-from functions.get_file_content import schema_get_file_content
-from functions.get_files_info import schema_get_files_info
-from functions.run_python_file import schema_run_python_file
-from functions.write_file import schema_write_file
+from functions.get_file_content import schema_get_file_content, get_file_content
+from functions.get_files_info import schema_get_files_info, get_files_info
+from functions.run_python_file import schema_run_python_file, run_python_file
+from functions.write_file import schema_write_file, write_file
 
 available_functions = types.Tool(
     function_declarations=[
@@ -12,3 +12,41 @@ available_functions = types.Tool(
         schema_run_python_file
     ],
 )
+
+def call_function(function_call, verbose=False):
+    if verbose:
+        print(f"Calling function: {function_call.name}({function_call.args})")
+    print(f" - Calling function: {function_call.name}")
+    
+    function_map = {
+        "get_file_content": get_file_content,
+        "get_files_info": get_files_info,
+        "run_python_file": run_python_file,
+        "write_file": write_file,
+    }
+    
+    function_name = function_call.name or ""
+    if function_name == "":
+        return types.Content(
+            role="tool",
+            parts=[
+                types.Part.from_function_response(
+                    name=function_name,
+                    response={"error": f"Unknown function: {function_name}"},
+                )
+            ],
+        )
+    
+    args = dict(function_call.args) if function_call.args else {}
+    args["working_directory"] = "./calculator"
+    function_result = function_map[function_name](**args)
+    return types.Content(
+        role="tool",
+        parts=[
+            types.Part.from_function_response(
+                name=function_name,
+                response={"result": function_result},
+            )
+        ],
+    )
+    

main.py

@@ -1,11 +1,12 @@
 import argparse
 import os
+import sys
 
 from dotenv import load_dotenv
 from google import genai
 from google.genai import types
 from prompts import system_prompt
-from functions.call_function import available_functions
+from functions.call_function import available_functions, call_function
 
 load_dotenv()
 api_key = os.environ.get("GEMINI_API_KEY")
@@ -19,25 +20,48 @@ parser.add_argument("--verbose", action="store_true", help="Enable verbose outpu
 args = parser.parse_args()
 messages = [types.Content(role="user", parts=[types.Part(text=args.user_prompt)])]
 
-response = client.models.generate_content(
-    model="gemini-2.5-flash",
-    contents=messages,
-    config=types.GenerateContentConfig(
-        system_instruction=system_prompt,
-        tools=[available_functions],
-    ),
-)
-if not response.usage_metadata:
-    raise RuntimeError("Cannot get usage metadata")
+for _ in range(10):
+    response = client.models.generate_content(
+        model="gemini-2.5-flash",
+        contents=messages,
+        config=types.GenerateContentConfig(
+            system_instruction=system_prompt,
+            tools=[available_functions],
+        ),
+    )
+    if response.candidates:
+       for candidate in response.candidates:
+           if candidate.content:
+               messages.append(candidate.content)
 
-if args.verbose:
-    print(f"User prompt: {args.user_prompt}")
-    print(f"Prompt tokens: {response.usage_metadata.prompt_token_count}")
-    print(f"Response tokens: {response.usage_metadata.candidates_token_count}")
+    if not response.usage_metadata:
+        raise RuntimeError("Cannot get usage metadata")
     
-function_calls = response.function_calls
-if function_calls:
-    for function_call in function_calls:
-        print(f"Calling function: {function_call.name}({function_call.args})")
+    if args.verbose:
+        print(f"User prompt: {args.user_prompt}")
+        print(f"Prompt tokens: {response.usage_metadata.prompt_token_count}")
+        print(f"Response tokens: {response.usage_metadata.candidates_token_count}")
+    
+    function_calls = response.function_calls
+    function_responses = []
+    if function_calls:
+        for function_call in function_calls:
+            function_call_result = call_function(function_call, args.verbose)
+            
+            if not function_call_result.parts:
+                raise Exception("function_call_result.parts list is empty")
+            if function_call_result.parts[0].function_response is None:
+                raise Exception("FunctionResponse object is equal to None")
+            if function_call_result.parts[0].function_response.response is None:
+                raise Exception("FunctionResponse object response is equal to None")  
+            
+            function_responses.append(function_call_result.parts[0])
+            if args.verbose:
+                print(f"-> {function_call_result.parts[0].function_response.response}")
+                
+        messages.append(types.Content(role="user", parts=function_responses))
+    else:
+        break
 else:
-    print(response.text)
+    print("Maximum iterations reached without a final response")
+    sys.exit(1)