mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-04-25 00:16:23 +02:00
Updated CLI invocation and config model for tools and mcp (#438)
* Updated CLI invocation and config model for tools and mcp * CLI anomalies * Tweaked the MCP tool implementation for new model * Update agent implementation to match the new model * Fix agent tools, now all tested * Fixed integration tests * Fix MCP delete tool params
This commit is contained in:
cybermaggedon
GitHub
parent
a96d02da5d
commit
81c7c1181b
11 changed files with 270 additions and 183 deletions
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@ -69,39 +69,39 @@ class TestAgentManagerIntegration:
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"knowledge_query": Tool(
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name="knowledge_query",
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description="Query the knowledge graph for information",
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arguments={
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"question": Argument(
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arguments=[
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Argument(
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name="question",
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type="string",
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description="The question to ask the knowledge graph"
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)
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},
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],
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implementation=KnowledgeQueryImpl,
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config={}
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),
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"text_completion": Tool(
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name="text_completion",
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description="Generate text completion using LLM",
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arguments={
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"question": Argument(
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arguments=[
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Argument(
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name="question",
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type="string",
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description="The question to ask the LLM"
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)
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},
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],
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implementation=TextCompletionImpl,
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config={}
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),
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"web_search": Tool(
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name="web_search",
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description="Search the web for information",
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arguments={
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"query": Argument(
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arguments=[
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Argument(
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name="query",
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type="string",
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description="The search query"
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)
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},
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],
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implementation=lambda context: AsyncMock(invoke=AsyncMock(return_value="Web search results")),
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config={}
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)
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@ -2,7 +2,7 @@
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"""
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Deletes MCP (Model Control Protocol) tools from the TrustGraph system.
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Removes MCP tool configurations by name from the 'mcp' configuration group.
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Removes MCP tool configurations by ID from the 'mcp' configuration group.
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"""
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import argparse
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@ -14,7 +14,7 @@ default_url = os.getenv("TRUSTGRAPH_URL", 'http://localhost:8088/')
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def delete_mcp_tool(
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url : str,
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name : str,
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id : str,
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):
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api = Api(url).config()
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@ -22,28 +22,28 @@ def delete_mcp_tool(
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# Check if the tool exists first
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try:
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values = api.get([
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ConfigKey(type="mcp", key=name)
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ConfigKey(type="mcp", key=id)
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])
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if not values or not values[0].value:
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print(f"MCP tool '{name}' not found.")
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print(f"MCP tool '{id}' not found.")
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return False
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except Exception as e:
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print(f"MCP tool '{name}' not found.")
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print(f"MCP tool '{id}' not found.")
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return False
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# Delete the MCP tool configuration from the 'mcp' group
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try:
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api.delete([
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ConfigKey(type="mcp", key=name)
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ConfigKey(type="mcp", key=id)
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])
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print(f"MCP tool '{name}' deleted successfully.")
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print(f"MCP tool '{id}' deleted successfully.")
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return True
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except Exception as e:
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print(f"Error deleting MCP tool '{name}': {e}")
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print(f"Error deleting MCP tool '{id}': {e}")
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return False
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def main():
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@ -56,9 +56,9 @@ def main():
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Once deleted, the tool will no longer be available for use.
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Examples:
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%(prog)s --name weather
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%(prog)s --name calculator
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%(prog)s --api-url http://localhost:9000/ --name file-reader
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%(prog)s --id weather
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%(prog)s --id calculator
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%(prog)s --api-url http://localhost:9000/ --id file-reader
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''').strip(),
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formatter_class=argparse.RawDescriptionHelpFormatter
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)
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@ -70,21 +70,21 @@ def main():
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)
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parser.add_argument(
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'--name',
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'--id',
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required=True,
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help='MCP tool name to delete',
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help='MCP tool ID to delete',
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)
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args = parser.parse_args()
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try:
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if not args.name:
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raise RuntimeError("Must specify --name for MCP tool to delete")
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if not args.id:
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raise RuntimeError("Must specify --id for MCP tool to delete")
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delete_mcp_tool(
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url=args.api_url,
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name=args.name
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id=args.id
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)
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except Exception as e:
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@ -21,27 +21,10 @@ def delete_tool(
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api = Api(url).config()
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# Get the current tool index
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try:
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values = api.get([
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ConfigKey(type="agent", key="tool-index")
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])
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ix = json.loads(values[0].value)
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except Exception as e:
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print(f"Error reading tool index: {e}")
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return False
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# Check if the tool exists in the index
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if id not in ix:
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print(f"Tool '{id}' not found in tool index.")
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return False
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# Check if the tool configuration exists
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try:
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tool_values = api.get([
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ConfigKey(type="agent", key=f"tool.{id}")
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ConfigKey(type="tool", key=id)
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])
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if not tool_values or not tool_values[0].value:
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@ -52,22 +35,12 @@ def delete_tool(
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print(f"Tool configuration for '{id}' not found.")
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return False
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# Remove the tool ID from the index
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ix.remove(id)
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# Delete the tool configuration and update the index
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try:
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# Update the tool index
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api.put([
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ConfigValue(
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type="agent", key="tool-index", value=json.dumps(ix)
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)
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])
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# Delete the tool configuration
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api.delete([
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ConfigKey(type="agent", key=f"tool.{id}")
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ConfigKey(type="tool", key=id)
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])
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print(f"Tool '{id}' deleted successfully.")
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52
trustgraph-cli/scripts/tg-set-mcp-tool
Normal file → Executable file
52
trustgraph-cli/scripts/tg-set-mcp-tool
Normal file → Executable file
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@ -1,10 +1,17 @@
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#!/usr/bin/env python3
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"""
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Configures and registers MCP (Model Control Protocol) tools in the
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TrustGraph system. Allows defining MCP tool configurations with name and
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URL. Tools are stored in the 'mcp' configuration group for discovery and
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execution.
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Configures and registers MCP (Model Context Protocol) tools in the
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TrustGraph system.
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MCP tools are external services that follow the Model Context Protocol
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specification. This script stores MCP tool configurations with:
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- id: Unique identifier for the tool
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- remote-name: Name used by the MCP server (defaults to id)
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- url: MCP server endpoint URL
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Configurations are stored in the 'mcp' configuration group and can be
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referenced by agent tools using the 'mcp-tool' type.
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"""
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import argparse
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@ -17,7 +24,8 @@ default_url = os.getenv("TRUSTGRAPH_URL", 'http://localhost:8088/')
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def set_mcp_tool(
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url : str,
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name : str,
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id : str,
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remote_name : str,
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tool_url : str,
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):
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@ -26,15 +34,13 @@ def set_mcp_tool(
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# Store the MCP tool configuration in the 'mcp' group
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values = api.put([
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ConfigValue(
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type="mcp", key=name, value=json.dumps({
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"name": name,
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type="mcp", key=id, value=json.dumps({
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"remote-name": remote_name,
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"url": tool_url,
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})
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)
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])
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print(f"MCP tool '{name}' set with URL: {tool_url}")
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def main():
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parser = argparse.ArgumentParser(
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@ -45,8 +51,8 @@ def main():
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to the MCP server endpoint that provides the tool functionality.
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Examples:
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%(prog)s --name weather --tool-url "http://localhost:3000/weather"
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%(prog)s --name calculator --tool-url "http://mcp-tools.example.com/calc"
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%(prog)s --id weather --tool-url "http://localhost:3000/weather"
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%(prog)s --id calculator --tool-url "http://mcp-tools.example.com/calc"
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''').strip(),
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formatter_class=argparse.RawDescriptionHelpFormatter
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)
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@ -58,9 +64,15 @@ def main():
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)
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parser.add_argument(
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'--name',
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'-i', '--id',
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required=True,
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help='MCP tool name',
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help='MCP tool identifier',
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)
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parser.add_argument(
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'-r', '--remote-name',
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required=False,
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help='Remote MCP tool name (defaults to --id if not specified)',
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)
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parser.add_argument(
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@ -73,15 +85,21 @@ def main():
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try:
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if not args.name:
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raise RuntimeError("Must specify --name for MCP tool")
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if not args.id:
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raise RuntimeError("Must specify --id for MCP tool")
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if not args.tool_url:
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raise RuntimeError("Must specify --url for MCP tool")
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raise RuntimeError("Must specify --tool-url for MCP tool")
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if args.remote_name:
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remote_name = args.remote_name
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else:
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remote_name = args.id
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set_mcp_tool(
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url=args.api_url,
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name=args.name,
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id=args.id,
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remote_name=remote_name,
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tool_url=args.tool_url
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)
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@ -2,9 +2,15 @@
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"""
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Configures and registers tools in the TrustGraph system.
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Allows defining tool metadata including ID, name, description, type,
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and argument specifications. Tools are stored in the agent configuration
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and indexed for discovery and execution.
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This script allows you to define agent tools with various types including:
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- knowledge-query: Query knowledge bases
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- text-completion: Text generation
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- mcp-tool: Reference to MCP (Model Context Protocol) tools
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- prompt: Prompt template execution
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Tools are stored in the 'tool' configuration group and can include
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argument specifications for parameterized execution.
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"""
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from typing import List
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@ -51,6 +57,9 @@ def set_tool(
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name : str,
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description : str,
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type : str,
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mcp_tool : str,
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collection : str,
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template : str,
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arguments : List[Argument],
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):
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@ -60,14 +69,20 @@ def set_tool(
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ConfigKey(type="agent", key="tool-index")
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])
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ix = json.loads(values[0].value)
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object = {
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"id": id,
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"name": name,
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"description": description,
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"type": type,
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"arguments": [
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}
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if mcp_tool: object["mcp-tool"] = mcp_tool
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if collection: object["collection"] = collection
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if template: object["template"] = template
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if arguments:
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object["arguments"] = [
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{
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"name": a.name,
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"type": a.type,
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@ -75,17 +90,10 @@ def set_tool(
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}
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for a in arguments
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]
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}
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if id not in ix:
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ix.append(id)
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values = api.put([
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ConfigValue(
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type="agent", key="tool-index", value=json.dumps(ix)
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),
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ConfigValue(
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type="agent", key=f"tool.{id}", value=json.dumps(object)
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type="tool", key=f"{id}", value=json.dumps(object)
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)
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])
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@ -100,7 +108,8 @@ def main():
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Valid tool types:
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knowledge-query - Query knowledge bases
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text-completion - Text completion/generation
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mcp-tool - Model Control Protocol tool
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mcp-tool - Model Control Protocol tool
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prompt - Prompt template query
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Valid argument types:
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string - String/text parameter
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@ -128,28 +137,43 @@ def main():
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parser.add_argument(
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'--id',
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help=f'Tool ID',
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help=f'Unique tool identifier',
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)
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parser.add_argument(
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'--name',
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help=f'Tool name',
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help=f'Human-readable tool name',
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)
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parser.add_argument(
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'--description',
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help=f'Tool description',
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help=f'Detailed description of what the tool does',
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)
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parser.add_argument(
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'--type',
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help=f'Tool type, one of: knowledge-query, text-completion, mcp-tool',
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help=f'Tool type, one of: knowledge-query, text-completion, mcp-tool, prompt',
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)
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parser.add_argument(
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'--argument',
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nargs="*",
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help=f'Arguments, form: name:type:description',
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'--mcp-tool',
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help=f'For MCP type: ID of MCP tool configuration (as defined by tg-set-mcp-tool)',
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)
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parser.add_argument(
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'--collection',
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help=f'For knowledge-query type: collection to query',
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)
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parser.add_argument(
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'--template',
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help=f'For prompt type: template ID to use',
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)
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parser.add_argument(
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'--argument',
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nargs="*",
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help=f'Tool arguments in the form: name:type:description (can specify multiple)',
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)
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args = parser.parse_args()
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@ -157,14 +181,14 @@ def main():
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try:
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valid_types = [
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"knowledge-query", "text-completion", "mcp-tool"
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"knowledge-query", "text-completion", "mcp-tool", "prompt"
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]
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if args.id is None:
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raise RuntimeError("Must specify --id for prompt")
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raise RuntimeError("Must specify --id for tool")
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if args.name is None:
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raise RuntimeError("Must specify --name for prompt")
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raise RuntimeError("Must specify --name for tool")
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if args.type:
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if args.type not in valid_types:
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|
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@ -172,6 +196,8 @@ def main():
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"Type must be one of: " + ", ".join(valid_types)
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)
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mcp_tool = args.mcp_tool
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if args.argument:
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arguments = [
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Argument.parse(a)
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|
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@ -181,10 +207,15 @@ def main():
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arguments = []
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set_tool(
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url=args.api_url, id=args.id, name=args.name,
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url=args.api_url,
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id=args.id,
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name=args.name,
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description=args.description,
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type=args.type,
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arguments=arguments
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mcp_tool=mcp_tool,
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collection=args.collection,
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template=args.template,
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arguments=arguments,
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)
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except Exception as e:
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|
|
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|
|
@ -1,7 +1,7 @@
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#!/usr/bin/env python3
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"""
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Dumps out the current agent tool configuration
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Displays the current MCP (Model Context Protocol) tool configuration
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"""
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import argparse
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|
|
@ -26,11 +26,10 @@ def show_config(url):
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table = []
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table.append(("id", value.key))
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table.append(("name", data["name"]))
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table.append(("remote-name", data["remote-name"]))
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table.append(("url", data["url"]))
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print()
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print(value.key + ":")
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print(tabulate.tabulate(
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table,
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|
|
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|
|
@ -1,7 +1,13 @@
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#!/usr/bin/env python3
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|
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"""
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Dumps out the current agent tool configuration
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Displays the current agent tool configurations
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||||
|
||||
Shows all configured tools including their types:
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- knowledge-query: Tools that query knowledge bases
|
||||
- text-completion: Tools for text generation
|
||||
- mcp-tool: References to MCP (Model Context Protocol) tools
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||||
- prompt: Tools that execute prompt templates
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"""
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import argparse
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|
|
@ -17,37 +23,37 @@ def show_config(url):
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api = Api(url).config()
|
||||
|
||||
values = api.get([
|
||||
ConfigKey(type="agent", key="tool-index")
|
||||
])
|
||||
values = api.get_values(type="tool")
|
||||
|
||||
ix = json.loads(values[0].value)
|
||||
for item in values:
|
||||
|
||||
values = api.get([
|
||||
ConfigKey(type="agent", key=f"tool.{v}")
|
||||
for v in ix
|
||||
])
|
||||
id = item.key
|
||||
data = json.loads(item.value)
|
||||
|
||||
for n, key in enumerate(ix):
|
||||
|
||||
data = json.loads(values[n].value)
|
||||
tp = data["type"]
|
||||
|
||||
table = []
|
||||
|
||||
table.append(("id", data["id"]))
|
||||
table.append(("id", id))
|
||||
table.append(("name", data["name"]))
|
||||
table.append(("description", data["description"]))
|
||||
table.append(("type", data["type"]))
|
||||
table.append(("type", tp))
|
||||
|
||||
for n, arg in enumerate(data["arguments"]):
|
||||
table.append((
|
||||
f"arg {n}",
|
||||
f"{arg['name']}: {arg['type']}\n{arg['description']}"
|
||||
))
|
||||
if tp == "mcp-tool":
|
||||
table.append(("mcp-tool", data["mcp-tool"]))
|
||||
|
||||
if tp == "knowledge-query":
|
||||
table.append(("collection", data["collection"]))
|
||||
|
||||
if tp == "prompt":
|
||||
table.append(("template", data["template"]))
|
||||
for n, arg in enumerate(data["arguments"]):
|
||||
table.append((
|
||||
f"arg {n}",
|
||||
f"{arg['name']}: {arg['type']}\n{arg['description']}"
|
||||
))
|
||||
|
||||
print()
|
||||
print(key + ":")
|
||||
|
||||
print(tabulate.tabulate(
|
||||
table,
|
||||
|
|
|
|||
|
|
@ -47,8 +47,8 @@ class Service(ToolService):
|
|||
|
||||
url = self.mcp_services[name]["url"]
|
||||
|
||||
if "name" in self.mcp_services[name]:
|
||||
remote_name = self.mcp_services[name]["name"]
|
||||
if "remote-name" in self.mcp_services[name]:
|
||||
remote_name = self.mcp_services[name]["remote-name"]
|
||||
else:
|
||||
remote_name = name
|
||||
|
||||
|
|
|
|||
|
|
@ -39,7 +39,7 @@ class AgentManager:
|
|||
"type": arg.type,
|
||||
"description": arg.description
|
||||
}
|
||||
for arg in tool.arguments.values()
|
||||
for arg in tool.arguments
|
||||
]
|
||||
}
|
||||
for tool in self.tools.values()
|
||||
|
|
|
|||
|
|
@ -12,7 +12,7 @@ from ... base import GraphRagClientSpec, ToolClientSpec
|
|||
|
||||
from ... schema import AgentRequest, AgentResponse, AgentStep, Error
|
||||
|
||||
from . tools import KnowledgeQueryImpl, TextCompletionImpl, McpToolImpl
|
||||
from . tools import KnowledgeQueryImpl, TextCompletionImpl, McpToolImpl, PromptImpl
|
||||
from . agent_manager import AgentManager
|
||||
|
||||
from . types import Final, Action, Tool, Argument
|
||||
|
|
@ -79,64 +79,76 @@ class Processor(AgentService):
|
|||
|
||||
print("Loading configuration version", version)
|
||||
|
||||
if self.config_key not in config:
|
||||
print(f"No key {self.config_key} in config", flush=True)
|
||||
return
|
||||
|
||||
config = config[self.config_key]
|
||||
|
||||
try:
|
||||
|
||||
# This is some extra stuff to put in the prompt
|
||||
additional = config.get("additional-context", None)
|
||||
|
||||
ix = json.loads(config["tool-index"])
|
||||
|
||||
tools = {}
|
||||
|
||||
for k in ix:
|
||||
# Load tool configurations from the new location
|
||||
if "tool" in config:
|
||||
for tool_id, tool_value in config["tool"].items():
|
||||
data = json.loads(tool_value)
|
||||
|
||||
pc = config[f"tool.{k}"]
|
||||
data = json.loads(pc)
|
||||
impl_id = data.get("type")
|
||||
name = data.get("name")
|
||||
|
||||
arguments = {
|
||||
v.get("name"): Argument(
|
||||
name = v.get("name"),
|
||||
type = v.get("type"),
|
||||
description = v.get("description")
|
||||
)
|
||||
for v in data["arguments"]
|
||||
}
|
||||
# Create the appropriate implementation
|
||||
if impl_id == "knowledge-query":
|
||||
impl = functools.partial(
|
||||
KnowledgeQueryImpl,
|
||||
collection=data.get("collection")
|
||||
)
|
||||
arguments = KnowledgeQueryImpl.get_arguments()
|
||||
elif impl_id == "text-completion":
|
||||
impl = TextCompletionImpl
|
||||
arguments = TextCompletionImpl.get_arguments()
|
||||
elif impl_id == "mcp-tool":
|
||||
impl = functools.partial(
|
||||
McpToolImpl,
|
||||
mcp_tool_id=data.get("mcp-tool")
|
||||
)
|
||||
arguments = McpToolImpl.get_arguments()
|
||||
elif impl_id == "prompt":
|
||||
# For prompt tools, arguments come from config
|
||||
config_args = data.get("arguments", [])
|
||||
arguments = [
|
||||
Argument(
|
||||
name=arg.get("name"),
|
||||
type=arg.get("type"),
|
||||
description=arg.get("description")
|
||||
)
|
||||
for arg in config_args
|
||||
]
|
||||
impl = functools.partial(
|
||||
PromptImpl,
|
||||
template_id=data.get("template"),
|
||||
arguments=arguments
|
||||
)
|
||||
else:
|
||||
raise RuntimeError(
|
||||
f"Tool type {impl_id} not known"
|
||||
)
|
||||
|
||||
impl_id = data.get("type")
|
||||
|
||||
name = data.get("name")
|
||||
|
||||
if impl_id == "knowledge-query":
|
||||
impl = KnowledgeQueryImpl
|
||||
elif impl_id == "text-completion":
|
||||
impl = TextCompletionImpl
|
||||
elif impl_id == "mcp-tool":
|
||||
impl = functools.partial(McpToolImpl, name=k)
|
||||
else:
|
||||
raise RuntimeError(
|
||||
f"Tool-kind {impl_id} not known"
|
||||
tools[name] = Tool(
|
||||
name=name,
|
||||
description=data.get("description"),
|
||||
implementation=impl,
|
||||
config=data, # Store full config for reference
|
||||
arguments=arguments,
|
||||
)
|
||||
|
||||
tools[data.get("name")] = Tool(
|
||||
name = name,
|
||||
description = data.get("description"),
|
||||
implementation = impl,
|
||||
config=data.get("config", {}),
|
||||
arguments = arguments,
|
||||
)
|
||||
# Load additional context from agent config if it exists
|
||||
additional = None
|
||||
if self.config_key in config:
|
||||
agent_config = config[self.config_key]
|
||||
additional = agent_config.get("additional-context", None)
|
||||
|
||||
self.agent = AgentManager(
|
||||
tools=tools,
|
||||
additional_context=additional
|
||||
)
|
||||
|
||||
print("Prompt configuration reloaded.", flush=True)
|
||||
print(f"Loaded {len(tools)} tools", flush=True)
|
||||
print("Tool configuration reloaded.", flush=True)
|
||||
|
||||
except Exception as e:
|
||||
|
||||
|
|
|
|||
|
|
@ -1,11 +1,24 @@
|
|||
|
||||
import json
|
||||
from .types import Argument
|
||||
|
||||
# This tool implementation knows how to put a question to the graph RAG
|
||||
# service
|
||||
class KnowledgeQueryImpl:
|
||||
def __init__(self, context):
|
||||
def __init__(self, context, collection=None):
|
||||
self.context = context
|
||||
self.collection = collection
|
||||
|
||||
@staticmethod
|
||||
def get_arguments():
|
||||
return [
|
||||
Argument(
|
||||
name="question",
|
||||
type="string",
|
||||
description="The question to ask the knowledge base"
|
||||
)
|
||||
]
|
||||
|
||||
async def invoke(self, **arguments):
|
||||
client = self.context("graph-rag-request")
|
||||
print("Graph RAG question...", flush=True)
|
||||
|
|
@ -18,6 +31,17 @@ class KnowledgeQueryImpl:
|
|||
class TextCompletionImpl:
|
||||
def __init__(self, context):
|
||||
self.context = context
|
||||
|
||||
@staticmethod
|
||||
def get_arguments():
|
||||
return [
|
||||
Argument(
|
||||
name="question",
|
||||
type="string",
|
||||
description="The text prompt or question for completion"
|
||||
)
|
||||
]
|
||||
|
||||
async def invoke(self, **arguments):
|
||||
client = self.context("prompt-request")
|
||||
print("Prompt question...", flush=True)
|
||||
|
|
@ -29,18 +53,24 @@ class TextCompletionImpl:
|
|||
# the mcp-tool service.
|
||||
class McpToolImpl:
|
||||
|
||||
def __init__(self, context, name):
|
||||
def __init__(self, context, mcp_tool_id):
|
||||
self.context = context
|
||||
self.name = name
|
||||
self.mcp_tool_id = mcp_tool_id
|
||||
|
||||
@staticmethod
|
||||
def get_arguments():
|
||||
# MCP tools define their own arguments dynamically
|
||||
# For now, we return empty list and let the MCP service handle validation
|
||||
return []
|
||||
|
||||
async def invoke(self, **arguments):
|
||||
|
||||
client = self.context("mcp-tool-request")
|
||||
|
||||
print(f"MCP tool invocation: {self.name}...", flush=True)
|
||||
print(f"MCP tool invocation: {self.mcp_tool_id}...", flush=True)
|
||||
output = await client.invoke(
|
||||
name = self.name,
|
||||
parameters = {},
|
||||
name = self.mcp_tool_id,
|
||||
parameters = arguments, # Pass the actual arguments
|
||||
)
|
||||
|
||||
print(output)
|
||||
|
|
@ -51,3 +81,21 @@ class McpToolImpl:
|
|||
return json.dumps(output)
|
||||
|
||||
|
||||
# This tool implementation knows how to execute prompt templates
|
||||
class PromptImpl:
|
||||
def __init__(self, context, template_id, arguments=None):
|
||||
self.context = context
|
||||
self.template_id = template_id
|
||||
self.arguments = arguments or [] # These come from config
|
||||
|
||||
def get_arguments(self):
|
||||
# For prompt tools, arguments are defined in configuration
|
||||
return self.arguments
|
||||
|
||||
async def invoke(self, **arguments):
|
||||
client = self.context("prompt-request")
|
||||
print(f"Prompt template invocation: {self.template_id}...", flush=True)
|
||||
return await client.prompt(
|
||||
id=self.template_id,
|
||||
variables=arguments
|
||||
)
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue