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INFINA-RD
refactor: DI infrastructure, service decomposition, repository helpers, test suite
e066621 | from enum import Enum | |
| from typing import Optional, TypedDict, List | |
| from pydantic import BaseModel, Field, ConfigDict | |
| class File(BaseModel): | |
| path: str = Field(description="The path to the file to be created or modified") | |
| purpose: str = Field(description="The purpose of the file, e.g. 'main application logic', 'data processing module', etc.") | |
| class Plan(BaseModel): | |
| name: str = Field(description="The name of app to be built") | |
| description: str = Field(description="A oneline description of the app to be built, e.g. 'A web application for managing personal finances'") | |
| techstack: str = Field(description="The tech stack to be used for the app, e.g. 'python', 'javascript', 'react', 'flask', etc.") | |
| features: list[str] = Field(description="A list of features that the app should have, e.g. 'user authentication', 'data visualization', etc.") | |
| files: list[File] = Field(description="A list of files to be created, each with a 'path' and 'purpose'") | |
| class ImplementationTask(BaseModel): | |
| filepath: str = Field(description="The path to the file to be modified") | |
| task_description: str = Field(description="A detailed description of the task to be performed on the file, e.g. 'add user authentication', 'implement data processing logic', etc.") | |
| class TaskPlan(BaseModel): | |
| implementation_steps: list[ImplementationTask] = Field(description="A list of steps to be taken to implement the task") | |
| model_config = ConfigDict(extra="allow") | |
| class CoderState(BaseModel): | |
| task_plan: TaskPlan = Field(description="The plan for the task to be implemented") | |
| current_step_idx: int = Field(0, description="The index of the current step in the implementation steps") | |
| current_file_content: Optional[str] = Field(None, description="The content of the file currently being edited or created") | |
| class ModelBackend(str, Enum): | |
| GROQ = "groq" | |
| GEMINI = "gemini" | |
| OPENROUTER = "openrouter" | |
| class AgentConfig(BaseModel): | |
| """Runtime configuration for the Gemini/Qwen style CLI agent.""" | |
| project_directory: str = Field(description="Absolute or relative path to the workspace root") | |
| backend: ModelBackend = Field(default=ModelBackend.GROQ, description="LLM provider to use") | |
| model: Optional[str] = Field(default=None, description="Override the default model for the backend") | |
| temperature: float = Field(default=0.2, description="Sampling temperature for the agent responses") | |
| recursion_limit: int = Field(default=100, description="LangGraph recursion limit") | |
| auto_context: bool = Field(default=True, description="Automatically refresh project summary before each run") | |
| class AgentGraphState(TypedDict, total=False): | |
| """State tracked across LangGraph executions for the CLI agent.""" | |
| project_directory: str | |
| project_summary: Optional[str] | |
| messages: List[dict] | |
| pending_user_message: Optional[str] | |
| refresh_context: bool | |