Overview

from nadoo_plugin import NadooPlugin, tool, parameter

class MyPlugin(NadooPlugin):
    @tool(name="my_tool", description="Does something useful")
    @parameter("input", type="string", required=True)
    def my_tool(self, input: str) -> dict:
        return {"result": input.upper()}

def my_tool(self, input: str) -> dict:
    # Logging
    self.context.info("Processing input...")

    # Tracing
    self.context.trace("data_loaded", {"rows": 100})

    # Variable watching
    self.context.watch_variable("result", result)

    return result

# Invoke LLM
response = self.api.llm.invoke(
    messages=[{"role": "user", "content": "Hello"}]
)

# Search knowledge base
results = self.api.knowledge.search(query="AI")

# Invoke another tool
result = self.api.tools.invoke(tool_id="tool-123", params={})

# Store/retrieve data
self.api.storage.set("key", "value")

nadoo-plugin create my-plugin
cd my-plugin

# main.py
from nadoo_plugin import NadooPlugin, tool, parameter

class MyPlugin(NadooPlugin):
    def on_initialize(self):
        self.api_key = self.require_env("API_KEY")

    @tool(name="process", description="Process data")
    @parameter("data", type="string", required=True)
    def process(self, data: str) -> dict:
        self.context.info(f"Processing: {data}")
        result = self._do_processing(data)
        return {"success": True, "result": result}

nadoo-plugin test

nadoo-plugin build
nadoo-plugin install