#!/usr/bin/env python3 """ Configures and registers tools in the TrustGraph system. Allows defining tool metadata including ID, name, description, type, and argument specifications. Tools are stored in the agent configuration and indexed for discovery and execution. """ from typing import List import argparse import os from trustgraph.api import Api, ConfigKey, ConfigValue import json import tabulate import textwrap import dataclasses default_url = os.getenv("TRUSTGRAPH_URL", 'http://localhost:8088/') @dataclasses.dataclass class Argument: name : str type : str description : str @staticmethod def parse(s): parts = s.split(":") if len(parts) != 3: raise RuntimeError( "Arguments should be form name:type:description" ) valid_types = [ "string", "number", ] if parts[1] not in valid_types: raise RuntimeError( f"Type {parts[1]} invalid, use: " + ", ".join(valid_types) ) return Argument(name=parts[0], type=parts[1], description=parts[2]) def set_tool( url : str, id : str, name : str, description : str, type : str, mcp_tool : str, collection : str, template : str, arguments : List[Argument], ): api = Api(url).config() values = api.get([ ConfigKey(type="agent", key="tool-index") ]) object = { "name": name, "description": description, "type": type, } if mcp_tool: object["mcp-tool"] = mcp_tool if collection: object["collection"] = collection if template: object["template"] = template if arguments: object["arguments"] = [ { "name": a.name, "type": a.type, "description": a.description, } for a in arguments ] values = api.put([ ConfigValue( type="tool", key=f"{id}", value=json.dumps(object) ) ]) print("Tool set.") def main(): parser = argparse.ArgumentParser( prog='tg-set-tool', description=__doc__, epilog=textwrap.dedent(''' Valid tool types: knowledge-query - Query knowledge bases text-completion - Text completion/generation mcp-tool - Model Control Protocol tool prompt - Prompt template query Valid argument types: string - String/text parameter number - Numeric parameter Examples: %(prog)s --id weather --name "Weather lookup" \\ --type knowledge-query \\ --description "Get weather information" \\ --argument location:string:"Location to query" \\ --argument units:string:"Temperature units (C/F)" %(prog)s --id calculator --name "Calculator" --type mcp-tool \\ --description "Perform calculations" \\ --argument expression:string:"Mathematical expression" ''').strip(), formatter_class=argparse.RawDescriptionHelpFormatter ) parser.add_argument( '-u', '--api-url', default=default_url, help=f'API URL (default: {default_url})', ) parser.add_argument( '--id', help=f'Tool ID', ) parser.add_argument( '--name', help=f'Tool name', ) parser.add_argument( '--description', help=f'Tool description', ) parser.add_argument( '--type', help=f'Tool type, one of: knowledge-query, text-completion, mcp-tool, prompt', ) parser.add_argument( '--mcp-tool', help=f'For MCP, ID of MCP tool, as defined in TrustGraph config', ) parser.add_argument( '--collection', help=f'For knowledge query, collection to use', ) parser.add_argument( '--template', help=f'For prompt, template to use', ) parser.add_argument( '--argument', nargs="*", help=f'For prompts, arguments in the form: name:type:description', ) args = parser.parse_args() try: valid_types = [ "knowledge-query", "text-completion", "mcp-tool", "prompt" ] if args.id is None: raise RuntimeError("Must specify --id for prompt") if args.name is None: raise RuntimeError("Must specify --name for prompt") if args.type: if args.type not in valid_types: raise RuntimeError( "Type must be one of: " + ", ".join(valid_types) ) mcp_tool = args.mcp_tool if args.argument: arguments = [ Argument.parse(a) for a in args.argument ] else: arguments = [] set_tool( url=args.api_url, id=args.id, name=args.name, description=args.description, type=args.type, mcp_tool=mcp_tool, collection=args.collection, template=args.template, arguments=arguments, ) except Exception as e: print("Exception:", e, flush=True) main()