farouk1/nanocode
1
1
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Fix config override bug by recreating LMs after load_state

Browse Source
This commit is contained in:
Farouk Adeleke
2026-01-24 02:48:40 -08:00
parent 8e1657921f
commit ad1d95950e
2 changed files with 53 additions and 29 deletions
Download Patch File Download Diff File Expand all files Collapse all files

80
README.md
View File

@@ -1,6 +1,6 @@
# nanocode
Minimal Claude Code alternative using DSPy RLM! Single Python file, ~390 lines.
Minimal Claude Code alternative using DSPy RLM! Single Python file, ~305 lines.
Built using Claude Code, then used to build itself.
@@ -41,15 +41,14 @@ from modaic import AutoProgram
agent = AutoProgram.from_precompiled(
"farouk1/nanocode",
config={
"lm": "openrouter/anthropic/claude-3.5-sonnet",
"max_iters": 20
"lm": "openrouter/openai/gpt-5.2-codex",
"max_iters": 50
}
)
# Run a coding task
result = agent(task="What Python files are in this directory?")
print(result.answer)
print(result.affected_files)
```
### Option 2: Run Locally (Interactive CLI)
@@ -75,13 +74,14 @@ When using as a Modaic AutoProgram, you can configure these options:
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `lm` | str | `openrouter/anthropic/claude-3.5-sonnet` | Primary language model |
| `sub_lm` | str | `openrouter/openai/gpt-4.1` | Sub-LM for reasoning steps |
| `max_iters` | int | `20` | Maximum agent iterations |
| `lm` | str | `openrouter/openai/gpt-5.2-codex` | Primary language model |
| `sub_lm` | str | `openrouter/openai/gpt-5-mini` | Sub-LM for reasoning steps |
| `max_iters` | int | `50` | Maximum agent iterations |
| `api_base` | str | `https://openrouter.ai/api/v1` | API base URL |
| `max_tokens` | int | `16000` | Maximum tokens per request |
| `max_tokens` | int | `50000` | Maximum tokens per request |
| `max_output_chars` | int | `100000` | Maximum output character limit |
| `verbose` | bool | `False` | Enable verbose logging |
| `track_usage` | bool | `True` | Track token usage |
Example with custom configuration:
@@ -91,11 +91,12 @@ from modaic import AutoProgram
agent = AutoProgram.from_precompiled(
"farouk1/nanocode",
config={
"lm": "openrouter/openai/gpt-4",
"sub_lm": "openrouter/openai/gpt-3.5-turbo",
"lm": "openrouter/anthropic/claude-sonnet-4",
"sub_lm": "openrouter/openai/gpt-4.1-mini",
"max_iters": 30,
"max_tokens": 8000,
"verbose": True
"verbose": True,
"track_usage": False
}
)
```
@@ -115,14 +116,14 @@ agent = AutoProgram.from_precompiled(
The agent has access to the following tools:
| Tool | Function | Description |
|------|----------|-------------|
| `readfile` | `read_file(path, offset, limit)` | Read file contents with line numbers |
| `writefile` | `write_file(path, content)` | Write content to a file |
| `editfile` | `edit_file(path, old, new, replace_all)` | Replace text in a file (old must be unique unless `replace_all=True`) |
| `globfiles` | `glob_files(pattern, path)` | Find files matching a glob pattern, sorted by modification time |
| `grepfiles` | `grep_files(pattern, path)` | Search files for a regex pattern |
| `runbash` | `run_bash(cmd)` | Run a shell command and return output |
| Tool | Description |
|------|-------------|
| `read_file(path, offset, limit)` | Read file contents with line numbers |
| `write_file(path, content)` | Write content to a file |
| `edit_file(path, old, new, replace_all)` | Replace text in a file (old must be unique unless `replace_all=True`) |
| `glob_files(pattern, path)` | Find files matching a glob pattern, sorted by modification time |
| `grep_files(pattern, path)` | Search files for a regex pattern |
| `run_bash(cmd)` | Run a shell command and return output |
---
@@ -161,7 +162,7 @@ print(result.answer)
# Make edits
result = agent(task="Add a comment at the top of README.md")
print(result.affected_files) # ['README.md']
print(result.answer)
```
---
@@ -183,7 +184,14 @@ nanocode.py
│ └── run_bash() - Execute commands
├── DSPy Components
│ ├── CodingAssistant (Signature)
│ └── RLMCodingProgram (PrecompiledProgram)
│ ├── RLMCodingProgram (PrecompiledProgram)
│ │ ├── forward() - Run agent on task
│ │ ├── get_tools() - Get available tools
│ │ ├── set_tool() - Add/replace a tool
│ │ ├── remove_tool() - Remove a tool
│ │ ├── reload_lms() - Recreate LMs from config
│ │ └── load_state() - Load state with LM fix
│ └── RLMReasoningCallback
└── Modaic Integration
└── RLMCodingConfig (PrecompiledConfig)
```
@@ -195,13 +203,14 @@ Configuration class extending `PrecompiledConfig` for experiment-specific parame
```python
class RLMCodingConfig(PrecompiledConfig):
max_iters: int = 20
lm: str = "openrouter/anthropic/claude-3.5-sonnet"
sub_lm: str = "openrouter/openai/gpt-4.1"
max_iters: int = 50
lm: str = "openrouter/openai/gpt-5.2-codex"
sub_lm: str = "openrouter/openai/gpt-5-mini"
api_base: str = "https://openrouter.ai/api/v1"
max_tokens: int = 16000
max_tokens: int = 50000
max_output_chars: int = 100000
verbose: bool = False
track_usage: bool = True
```
#### `RLMCodingProgram`
@@ -212,8 +221,20 @@ class RLMCodingProgram(PrecompiledProgram):
config: RLMCodingConfig
def forward(self, task: str) -> dspy.Prediction:
# Returns prediction with .answer and .affected_files
# Returns prediction with .answer
return self.agent(task=task)
def get_tools(self) -> dict:
# Returns dict of available tools
def set_tool(self, name: str, tool: callable):
# Add or replace a tool
def remove_tool(self, name: str):
# Remove a tool by name
def reload_lms(self):
# Recreate LM objects from current config
```
#### `CodingAssistant`
@@ -221,9 +242,10 @@ DSPy Signature defining the agent's input/output schema.
```python
class CodingAssistant(dspy.Signature):
task: str = dspy.InputField()
answer: str = dspy.OutputField()
affected_files: list[str] = dspy.OutputField()
"""You are a concise coding assistant with access to sub agents."""
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")
```
---