Tool Details: agent_compact_session

Basic Information

Tool Name:agent_compact_session
Asset Name:Compact Agent Session
Description:Replaces an idle session's visible conversation with one assistant-memory summary while retaining the exact replaced history nested under the compaction record for audit. Future turns append normally. The result is bounded metadata; it does not duplicate the archived transcript.
Adapter:agent
Asset Hash:0xd1dd14edd5992c92e0c1f8767abbf08a7db906a2562d32ce960ba703d35e3dfb
Input
PropertyTypeDescription
sessionId*stringHex ID of the idle session to compact, with or without a 0x prefix
agentId*stringAgent reference: a bare name for the caller's agent, g/<id>, /g/<id>, or <ownerDID>/g/<id>
summary*stringSummary future turns should retain. It is agent memory, not a privileged system instruction.
Output
PropertyTypeDescription
agentIdstring-
addressstring-
sessionIdstring-
turnCountintegerRecursive leaf entries retained under the resulting segment.
archivedTurnsintegerLive conversation entries folded by this compaction.
compactedboolean-

MCP Tool Usage Examples

This tool can be called via the MCP (Model Context Protocol) endpoint. Here are examples of how to use it:

JSON-RPC Call Example:

POST to https://venue-3.covia.ai/mcp

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "agent_compact_session",
    "arguments": {
      "input": "your input here"
    }
  }
}
cURL Example:
curl -X POST https://venue-3.covia.ai/mcp \\
  -H "Content-Type: application/json" \\
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "agent_compact_session",
      "arguments": {
        "input": "your input here"
      }
    }
  }'
Python Example:
import requests
import json

url = "https://venue-3.covia.ai/mcp"
payload = {
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
        "name": "agent_compact_session",
        "arguments": {
            "input": "your input here"
        }
    }
}

response = requests.post(url, json=payload)
result = response.json()
print(result)
JavaScript/Node.js Example:
const fetch = require('node-fetch');

const url = 'https://venue-3.covia.ai/mcp';
const payload = {
    jsonrpc: '2.0',
    id: 1,
    method: 'tools/call',
    params: {
        name: 'agent_compact_session',
        arguments: {
            input: 'your input here'
        }
    }
};

fetch(url, {
    method: 'POST',
    headers: {
        'Content-Type': 'application/json'
    },
    body: JSON.stringify(payload)
})
.then(response => response.json())
.then(data => console.log(data));

Asset Metadata

{
	"name": "Compact Agent Session",
	"description": "Replaces an idle session's visible conversation with one assistant-memory summary while retaining the exact replaced history nested under the compaction record for audit. Future turns append normally. The result is bounded metadata; it does not duplicate the archived transcript.",
	"dateCreated": "2026-08-29T00:00:00Z",
	"operation": {
		"adapter": "agent:compactSession",
		"internal": false,
		"toolName": "agent_compact_session",
		"input": {
			"type": "object",
			"properties": {
				"agentId": { "type": "string", "description": "Agent reference: a bare name for the caller's agent, g/<id>, /g/<id>, or <ownerDID>/g/<id>" },
				"sessionId": { "type": "string", "description": "Hex ID of the idle session to compact, with or without a 0x prefix" },
				"summary": { "type": "string", "minLength": 1, "description": "Summary future turns should retain. It is agent memory, not a privileged system instruction." }
			},
			"required": ["agentId", "sessionId", "summary"]
		},
		"output": {
			"type": "object",
			"properties": {
				"agentId": { "type": "string" },
				"address": { "type": "string" },
				"sessionId": { "type": "string" },
				"compacted": { "type": "boolean" },
				"archivedTurns": { "type": "integer", "description": "Live conversation entries folded by this compaction." },
				"turnCount": { "type": "integer", "description": "Recursive leaf entries retained under the resulting segment." }
			}
		}
	}
}

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