digmind-sdk 0.1.0

DigMind Function Tool SDK for Python

DigMind SDK

DigMind SDK is the official Python library for developing Function Tools and orchestrating agent workflows within the DigMind Platform.

Installation

pip install digmind-sdk

Creating a Function Tool

Function Tools allow you to construct composite tools locally using Python and connect them securely to DigMind's execution engine via the ToolBridge.

Usage Example

from pydantic import BaseModel
from digmind_sdk import FunctionToolContext, tool_model

# 1. Define the Pydantic schema and bind it to a platform Tool Reference
@tool_model("rss.list_feeds")
class ListFeeds(BaseModel):
    source_ids: list[str]

# 2. Implement the entry point function
def run(ctx: FunctionToolContext) -> dict:
    # Safely call the platform tools via context
    ctx.progress(0.1, "Fetching RSS feeds...")
    feeds = ctx.call(ListFeeds(source_ids=["tech-blog"]))
    
    # Process results locally...
    ctx.progress(1.0, "Complete!")
    return {"status": "success", "data": feeds}

Features

• Pydantic Validation: Ensure type-safety immediately before making network requests.
• Progress Tracking: Send real-time partial completion updates back to the DigMind web UI.
• Parallel Dispatch: Run multiple tool calls simultaneously (ctx.parallel_call) to drastically reduce overall execution latency.

Requirements

• Python 3.11+
• You must connect this SDK running instance to a valid DigMind platform context (normally provided automatically when executed dynamically within DigMind Sandbox environments).