Class DeepCodeChat2CodeTool

nanobot/nanobot/agent/tools/deepcode.py:105–174

Submit text requirements to DeepCode for code generation.

class DeepCodeChat2CodeTool(Tool):
    """Submit text requirements to DeepCode for code generation."""

    def __init__(self, api_url: str | None = None):
        self._api_url = api_url or _get_deepcode_url()

    @property
    def name(self) -> str:
        return "deepcode_chat2code"

    @property
    def description(self) -> str:
        return (
            "Submit coding requirements to DeepCode for automatic code generation. "
            "Provide a text description of what you want to build (e.g. web app, algorithm, backend service). "
            "DeepCode will generate a complete implementation. "
            "Returns a task ID for tracking progress."
        )

    @property
    def parameters(self) -> dict[str, Any]:
        return {
            "type": "object",
            "properties": {
                "requirements": {
                    "type": "string",
                    "description": "Detailed description of coding requirements",
                },
                "enable_indexing": {
                    "type": "boolean",
                    "description": "Enable code reference indexing for enhanced quality. Default: false",
                },
            },
            "required": ["requirements"],
        }

    async def execute(
        self,
        requirements: str,
        enable_indexing: bool = False,
        **kwargs: Any,
    ) -> str:
        try:
            async with httpx.AsyncClient(timeout=30.0) as client:
                response = await client.post(
                    f"{self._api_url}/api/v1/workflows/chat-planning",
                    json={
                        "requirements": requirements,
                        "enable_indexing": enable_indexing,
                    },
                )
                response.raise_for_status()
                data = response.json()
                task_id = data.get("task_id", "unknown")
                return (
                    f"Chat-to-code task submitted successfully!\n"
                    f"Task ID: {task_id}\n"
                    f"Status: {data.get('status', 'started')}\n"