(no commit message)

README.md

@@ -4,7 +4,7 @@ Minimal Claude Code alternative. Single Python file, zero dependencies, ~250 lin
 
 Built using Claude Code, then used to build itself.
 
-![screenshot](https://d1pz4mbco29rws.cloudfront.net/public/nanocode.png)
+![screenshot](screenshot.png)
 
 ## Features
 

config.json

@@ -3,5 +3,5 @@
   "max_iters": 15,
   "lm": "openai/gpt-5.2-codex",
   "api_base": "https://openrouter.ai/api/v1",
-  "max_tokens": 8192
+  "max_tokens": 16000
 }

nanocode.py

@@ -25,6 +25,7 @@ MAGENTA = "\033[35m"
 
 # --- Display utilities ---
 
+
 def separator():
     """Return a horizontal separator line that fits the terminal width."""
     return f"{DIM}{'─' * min(os.get_terminal_size().columns, 80)}{RESET}"
@@ -37,6 +38,7 @@ def render_markdown(text):
 
 # --- File operations ---
 
+
 def read_file(path: str, offset: int = 0, limit: int = None) -> str:
     """Read file contents with line numbers.
 
@@ -138,6 +140,7 @@ def grep_files(pattern: str, path: str = ".") -> str:
 
 # --- Shell operations ---
 
+
 def run_bash(cmd: str) -> str:
     """Run a shell command and return output.
 
@@ -148,9 +151,7 @@ def run_bash(cmd: str) -> str:
         Command output (stdout and stderr combined)
     """
     proc = subprocess.Popen(
-        cmd, shell=True,
+        cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True
-        stdout=subprocess.PIPE, stderr=subprocess.STDOUT,
-        text=True
     )
     output_lines = []
     try:
@@ -196,14 +197,20 @@ def select_model():
 
     while True:
         try:
-            choice = input(f"\n{BOLD}{BLUE}❯{RESET} Enter choice (1-8 or c): ").strip().lower()
+            choice = (
+                input(f"\n{BOLD}{BLUE}❯{RESET} Enter choice (1-8 or c): ")
+                .strip()
+                .lower()
+            )
 
             if choice in AVAILABLE_MODELS:
                 name, model_id = AVAILABLE_MODELS[choice]
                 print(f"{GREEN}⏺ Selected: {name}{RESET}")
                 return model_id
             elif choice == "c":
-                custom_model = input(f"{BOLD}{BLUE}❯{RESET} Enter model ID (e.g., openai/gpt-4): ").strip()
+                custom_model = input(
+                    f"{BOLD}{BLUE}❯{RESET} Enter model ID (e.g., openai/gpt-4): "
+                ).strip()
                 if custom_model:
                     print(f"{GREEN}⏺ Selected custom model: {custom_model}{RESET}")
                     return custom_model
@@ -218,12 +225,18 @@ def select_model():
 
 # --- DSPy Signature ---
 
+
 class CodingAssistant(dspy.Signature):
     """You are a concise coding assistant. Help the user with their coding task by using the available tools to read, write, edit files, search the codebase, and run commands."""
 
     task: str = dspy.InputField(desc="The user's coding task or question")
-    answer: str = dspy.OutputField(desc="Your response to the user after completing the task")
+    answer: str = dspy.OutputField(
-    affected_files: list[str] = dspy.OutputField(desc="List of files that were written or modified during the task")
+        desc="Your response to the user after completing the task"
+    )
+    affected_files: list[str] = dspy.OutputField(
+        desc="List of files that were written or modified during the task"
+    )
+
 
 # ReAct agent with tools
 
@@ -235,7 +248,7 @@ class ToolLoggingCallback(BaseCallback):
 
     def on_tool_start(self, call_id, instance, inputs):
         """Log when a tool starts executing."""
-        tool_name = instance.name if hasattr(instance, 'name') else str(instance)
+        tool_name = instance.name if hasattr(instance, "name") else str(instance)
         # Format args nicely
         args_str = ", ".join(f"{k}={repr(v)[:50]}" for k, v in inputs.items())
         print(f"  {MAGENTA}⏺ {tool_name}({args_str}){RESET}", flush=True)
@@ -248,10 +261,12 @@ class ToolLoggingCallback(BaseCallback):
     def on_module_end(self, call_id, outputs, exception):
         """Log when the finish tool is called (ReAct completion)."""
         # Check if this is a ReAct prediction with tool_calls
-        if outputs and 'tool_calls' in outputs:
+        if outputs and "tool_calls" in outputs:
-            for call in outputs['tool_calls']:
+            for call in outputs["tool_calls"]:
-                args_str = ", ".join(f"{k}={repr(v)[:50]}" for k, v in call.args.items())
+                args_str = ", ".join(
-                if call.name == 'finish':
+                    f"{k}={repr(v)[:50]}" for k, v in call.args.items()
+                )
+                if call.name == "finish":
                     print(f"  {GREEN}⏺ finish{RESET}", flush=True)
                 else:
                     print(f"  {MAGENTA}⏺ {call.name}({args_str}){RESET}", flush=True)
@@ -261,7 +276,8 @@ class AgentConfig(PrecompiledConfig):
     max_iters: int = 15
     lm: str = "openrouter/anthropic/claude-3.5-sonnet"  # Default fallback
     api_base: str = "https://openrouter.ai/api/v1"
-    max_tokens: int = 8192
+    max_tokens: int = 16000
+
 
 class AgentProgram(PrecompiledProgram):
     config: AgentConfig
@@ -273,8 +289,14 @@ class AgentProgram(PrecompiledProgram):
         # Configure logging callback globally
         dspy.settings.configure(callbacks=[ToolLoggingCallback()])
 
-        agent = dspy.ReAct(CodingAssistant, tools=tools, max_iters=self.config.max_iters)
+        agent = dspy.ReAct(
-        lm = dspy.LM(self.config.lm, api_base=self.config.api_base, max_tokens=self.config.max_tokens)
+            CodingAssistant, tools=tools, max_iters=self.config.max_iters
+        )
+        lm = dspy.LM(
+            self.config.lm,
+            api_base=self.config.api_base,
+            max_tokens=self.config.max_tokens,
+        )
         agent.set_lm(lm)
         self.agent = agent
 
@@ -282,6 +304,7 @@ class AgentProgram(PrecompiledProgram):
         assert task, "Task cannot be empty"
         return self.agent(task=task)
 
+
 # --- Main ---
 
 
@@ -299,7 +322,9 @@ def main():
     config.lm = model
 
     agent = AgentProgram(config)
-    print(f"{BOLD}nanocode-dspy{RESET} | {DIM}{agent.config.lm} | {os.getcwd()}{RESET}\n")
+    print(
+        f"{BOLD}nanocode-dspy{RESET} | {DIM}{agent.config.lm} | {os.getcwd()}{RESET}\n"
+    )
 
     # Conversation history for context
     history = []
@@ -345,6 +370,7 @@ def main():
             break
         except Exception as err:
             import traceback
+
             traceback.print_exc()
             print(f"{RED}⏺ Error: {err}{RESET}")
 
@@ -353,4 +379,3 @@ if __name__ == "__main__":
     agent = AgentProgram(AgentConfig(lm="openai/gpt-5.2-codex"))
     agent.push_to_hub("farouk1/nanocode")
     # main()
-    

program.json

@@ -37,7 +37,7 @@
       "launch_kwargs": {},
       "train_kwargs": {},
       "temperature": null,
-      "max_tokens": 8192,
+      "max_tokens": 16000,
       "api_base": "https://openrouter.ai/api/v1"
     }
   },
@@ -79,7 +79,7 @@
       "launch_kwargs": {},
       "train_kwargs": {},
       "temperature": null,
-      "max_tokens": 8192,
+      "max_tokens": 16000,
       "api_base": "https://openrouter.ai/api/v1"
     }
   },